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一个仅供参考的 CS 学习规划

计算机领域方向庞杂,知识浩如烟海,每个细分领域如果深究下去都可以说学无止境。因此,一个清晰明确的学习规划是非常重要的。这一节的内容是对后续整本书的内容的一个概览,你可以将其看作是这本书的目录,按需选择自己感兴趣的内容进行学习。

不过,在开始学习之前,先向小白们强烈推荐一个科普向系列视频 Crash Course: Computer Science,在短短 8 个小时里非常生动且全面地科普了关于计算机科学的方方面面:计算机的历史、计算机是如何运作的、组成计算机的各个重要模块、计算机科学中的重要思想等等等等。正如它的口号所说的 Computers are not magic!,希望看完这个视频之后,大家能对计算机科学有个全貌性地感知,从而怀着兴趣去面对下面浩如烟海的更为细致且深入的学习内容。

必学工具

俗话说:磨刀不误砍柴工。如果你是一个刚刚接触计算机的24k纯小白,学会一些工具将会让你事半功倍。

学会提问:也许你会惊讶,提问也算计算机必备技能吗,还放在第一条?我觉得在开源社区中,学会提问是一项非常重要的能力,它包含两方面的事情。其一是会变相地培养你自主解决问题的能力,因为从形成问题、描述问题并发布、他人回答、最后再到理解回答这个周期是非常长的,如果遇到什么鸡毛蒜皮的事情都希望别人最好远程桌面手把手帮你完成,那计算机的世界基本与你无缘了。其二,如果真的经过尝试还无法解决,可以借助开源社区的帮助,但这时候如何通过简洁的文字让别人瞬间理解你的处境以及目的,就显得尤为重要。推荐阅读提问的智慧这篇文章,这不仅能提高你解决问题的概率和效率,也能让开源社区里无偿提供解答的人们拥有一个好心情。

MIT-Missing-Semester 这门课覆盖了这些工具中绝大部分,而且有相当详细的使用指导,强烈建议小白学习。

翻墙:由于一些众所周知的原因,谷歌、GitHub 等网站在大陆无法访问。然而很多时候,谷歌和 StackOverflow 可以解决你在开发过程中遇到的 95% 的问题。因此,学会翻墙几乎是一个内地 CSer 的必备技能。(考虑到法律问题,这个文档提供的翻墙方式仅对拥有北大邮箱的用户适用)。

命令行:熟练使用命令行是一种常常被忽视,或被认为难以掌握的技能,但实际上,它会提高极大地提高你作为工程师的灵活性以及生产力。命令行的艺术是一份非常经典的教程,它源于 Quora 的一个提问,但在各路大神的贡献努力下已经成为了一个 GitHub 十万 stars 的顶流项目,被翻译成了十几种语言。教程不长,非常建议大家反复通读,在实践中内化吸收。同时,掌握 shell 脚本编程也是一项不容忽视的技术,可以参考这个教程

IDE (Integrated Development Environment):集成开发环境,说白了就是你写代码的地方。作为一个码农,IDE 的重要性不言而喻,但由于很多 IDE 是为大型工程项目设计的,体量较大,功能也过于丰富。其实如今一些轻便的文本编辑器配合丰富的插件生态基本可以满足日常的轻量编程需求。个人常用的编辑器是 VS Code 和 Sublime(前者的插件配置非常简单,后者略显复杂但颜值很高)。当然对于大型项目我还是会采用略重型的 IDE,例如 Pycharm (Python),IDEA (Java) 等等(免责申明:所有的 IDE 都是世界上最好的 IDE)。

Vim:一款命令行编辑工具。这是一个学习曲线有些陡峭的编辑器,不过学会它我觉得是非常有必要的,因为它将极大地提高你的开发效率。现在绝大多数 IDE 也都支持 Vim 插件,让你在享受现代开发环境的同时保留极客的炫酷(yue)。

Git:一款代码版本控制工具。Git的学习曲线可能更为陡峭,但出自 Linux 之父 Linus 之手的 Git 绝对是每个学 CS 的童鞋必须掌握的神器之一。

GitHub:基于 Git 的代码托管平台。全世界最大的代码开源社区,大佬集聚地。

GNU Make:一款工程构建工具。善用 GNU Make 会让你养成代码模块化的习惯,同时也能让你熟悉一些大型工程的编译链接流程。

CMake:一款功能比 GNU Make 更为强大的构建工具,建议掌握 GNU Make 之后再加以学习。

LaTex逼格提升 论文排版工具。

Docker:一款相较于虚拟机更轻量级的软件打包与环境部署工具。

实用工具箱:除了上面提到的这些在开发中使用频率极高的工具之外,我还收集了很多实用有趣的免费工具,例如一些下载工具、设计工具、学习网站等等。

Thesis:毕业论文 Word 写作教程。

好书推荐

私以为一本好的教材应当是以人为本的,而不是炫技式的理论堆砌。告诉读者“是什么”固然重要,但更好的应当是教材作者将其在这个领域深耕几十年的经验融汇进书中,向读者娓娓道来“为什么”以及未来应该“怎么做”。

链接戳这里

环境配置

你以为的开发 —— 在 IDE 里疯狂码代码数小时。

实际上的开发 —— 配环境配几天还没开始写代码。

推荐一个非常不错的 GitHub 项目 DevOps-Guide,其中涵盖了非常多的运维方面的基础知识和教程,例如 Docker, Kubernetes, Linux, CI-CD, GitHub Actions 等等。

另外大家可以参考一份灵感来自 6.NULL MIT-Missing-Semester环境配置指南,重点在于终端的美化配置。此外还包括常用软件源(如 GitHub, Anaconda, PyPI 等)的加速与替换以及一些 IDE 的配置与激活教程。

More contents under construction.

课程地图

正如这章开头提到的,这份课程地图仅仅是一个仅供参考的课程规划,我作为一个临近毕业的本科生。深感自己没有权利也没有能力向别人宣扬“应该怎么学”。因此如果你觉得以下的课程分类与选择有不合理之处,我全盘接受,并深感抱歉。你可以在下一节定制属于你的课程地图

以下课程类别中除了含有 基础入门 字眼的以外,并无明确的先后次序,大家只要满足某个课程的先修要求,完全可以根据自己的需要和喜好选择想要学习的课程。

另外由于贡献者的不断增加,这份课程地图已经从最初我的学习经历,发展成为很多 CS 自学者的资源合集,其中难免有内容交叉甚至重复的。但之所以都列出来,还是希望集百家之长,给大家尽可能多的选择与参考。

数学基础

微积分与线性代数

作为大一新生,学好微积分线代是和写代码至少同等重要的事情,相信已经有无数的前人经验提到过这一点,但我还是要不厌其烦地再强调一遍:学好微积分线代真的很重要!你也许会吐槽这些东西岂不是考完就忘,那我觉得你是并没有把握住它们本质,对它们的理解还没有达到刻骨铭心的程度。如果觉得老师课上讲的内容晦涩难懂,不妨参考 MIT 的 Calculus Course18.06: Linear Algebra 的课程 notes,至少于我而言,它帮助我深刻理解了微积分和线性代数的许多本质。顺道再安利一个油管数学网红 3Blue1Brown,他的频道有很多用生动形象的动画阐释数学本质内核的视频,兼具深度和广度,质量非常高。

信息论入门

作为计算机系的学生,及早了解一些信息论的基础知识,我觉得是大有裨益的。但大多信息论课程都面向高年级本科生甚至研究生,对新手极不友好。而 MIT 的 6.050J: Information theory and Entropy 这门课正是为大一新生量身定制的,几乎没有先修要求,涵盖了编码、压缩、通信、信息熵等等内容,非常有趣。

数学进阶

离散数学与概率论

集合论、图论、概率论等等是算法推导与证明的重要工具,也是后续高阶数学课程的基础。但我觉得这类课程的讲授很容易落入理论化与形式化的窠臼,让课堂成为定理结论的堆砌,而无法使学生深刻把握理论的本质,进而造成学了就背,考了就忘的怪圈。如果能在理论教学中穿插算法运用实例,学生在拓展算法知识的同时也能窥见理论的力量和魅力。

UCB CS70 : discrete Math and probability theoryUCB CS126 : Probability theory 是 UC Berkeley 的概率论课程,前者覆盖了离散数学和概率论基础,后者则涉及随机过程以及深入的理论内容。两者都非常注重理论和实践的结合,有丰富的算法实际运用实例,后者还有大量的Python编程作业来让学生运用概率论的知识解决实际问题。

数值分析

作为计算机系的学生,培养计算思维是很重要的,实际问题的建模、离散化,计算机的模拟、分析,是一项很重要的能力。而这两年开始风靡的,由 MIT 打造的 Julia 编程语言以其 C 一样的速度和 Python 一样友好的语法在数值计算领域有一统天下之势,MIT 的许多数学课程也开始用 Julia 作为教学工具,把艰深的数学理论用直观清晰的代码展示出来。

ComputationalThinking 是 MIT 开设的一门计算思维入门课,所有课程内容全部开源,可以在课程网站直接访问。这门课利用 Julia 编程语言,在图像处理、社会科学与数据科学、气候学建模三个 topic 下带领学生理解算法、数学建模、数据分析、交互设计、图例展示,让学生体验计算与科学的美妙结合。内容虽然不难,但给我最深刻的感受就是,科学的魅力并不是故弄玄虚的艰深理论,不是诘屈聱牙的术语行话,而是用直观生动的案例,用简练深刻的语言,让每个普通人都能理解。

上完上面的体验课之后,如果意犹未尽的话,不妨试试 MIT 的 18.330 : Introduction to numerical analysis,这门课的编程作业同样会用 Julia 编程语言,不过难度和深度上都上了一个台阶。内容涉及了浮点编码、Root finding、线性系统、微分方程等等方面,整门课的主旨就是让你利用离散化的计算机表示去估计和逼近一个数学上连续的概念。这门课的教授还专门撰写了一本配套的开源教材 Fundamentals of Numerical Computation,里面附有丰富的 Julia 代码实例和严谨的公式推导。

如果你还意犹未尽的话,还有 MIT 的研究生课程 18.335: Introduction to numerical method 供你参考。

微分方程

如果世间万物的运动发展都能用方程来刻画和描述,这是一件多么酷的事情呀!虽然几乎任何一所学校的 CS 培养方案中都没有微分方程相关的必修课程,但我还是觉得掌握它会赋予你一个新的视角来审视这个世界。

由于微分方程中往往会用到很多复变函数的知识,所以大家可以参考 MIT18.04: Complex variables functions 的课程 notes 来补齐先修知识。

MIT18.03: differential equations) 主要覆盖了常微分方程的求解,在此基础之上 MIT18.152: Partial differential equations) 则会深入偏微分方程的建模与求解。掌握了微分方程这一有利工具,相信对于你的实际问题的建模能力以及从众多噪声变量中把握本质的直觉都会有很大帮助。

数学高阶

作为计算机系的学生,我经常听到数学无用论的论断,对此我不敢苟同但也无权反对,但若凡事都硬要争出个有用和无用的区别来,倒也着实无趣,因此下面这些面向高年级甚至研究生的数学课程,大家按兴趣自取所需。

凸优化

Standford EE364A: Convex Optimization

信息论

MIT6.441: Information Theory

应用统计学

MIT18.650: Statistics for Applications

初等数论

MIT18.781: Theory of Numbers

密码学

Standford CS255: Cryptography

编程入门

Languages are tools, you choose the right tool to do the right thing. Since there's no universally perfect tool, there's no universally perfect language.

Shell

Python

C++

Rust

OCaml

电子基础

电路基础

作为计算机系的学生,了解一些基础的电路知识,感受从传感器收集数据到数据分析再到算法预测整条流水线,对于后续知识的学习以及计算思维的培养还是很有帮助的。EE16A&B: Designing Information Devices and Systems I&II 是伯克利 EE 学生的大一入门课,其中 EE16A 注重通过电路从实际环境中收集和分析数据,而 EE16B 则侧重从这些收集到的数据进行分析并做出预测行为。

信号与系统

信号与系统是一门我觉得非常值得一上的课,最初学它只是为了满足我对傅里叶变换的好奇,但学完之后我才不禁感叹,傅立叶变换给我提供了一个全新的视角去看待这个世界,就如同微分方程一样,让你沉浸在用数学去精确描绘和刻画这个世界的优雅与神奇之中。

MIT 6.003: signal and systems 提供了全部的课程录影、书面作业以及答案。也可以去看这门课的远古版本

UCB EE120: Signal and Systems 关于傅立叶变换的 notes 写得非常好,并且提供了6 个非常有趣的 Python 编程作业,让你实践中运用信号与系统的理论与算法。

数据结构与算法

数据结构与算法

算法设计与分析

软件工程

入门课

一份“能跑”的代码,和一份高质量的工业级代码是有本质区别的。因此我非常推荐低年级的同学学习一下 MIT 6.031: Software Construction 这门课,它会以 Java 语言为基础,以丰富细致的阅读材料和精心设计的编程练习传授如何编写不易出 bug、简明易懂、易于维护修改的高质量代码。大到宏观数据结构设计,小到如何写注释,遵循这些前人总结的细节和经验,对于你此后的编程生涯大有裨益。

专业课

当然,如果你想系统性地上一门软件工程的课程,那我推荐的是伯克利的 UCB CS169: software engineering。但需要提醒的是,和大多学校(包括贵校)的软件工程课程不同,这门课不会涉及传统的 design and document 模式,即强调各种类图、流程图及文档设计,而是采用近些年流行起来的小团队快速迭代 Agile Develepment 开发模式以及利用云平台的 Software as a service 服务模式。

体系结构

入门课

从小我就一直听说,计算机的世界是由 01 构成的,我不理解但大受震撼。如果你的内心也怀有这份好奇,不妨花一到两个月的时间学习 Coursera: Nand2Tetris 这门无门槛的计算机课程。这门麻雀虽小五脏俱全的课程会从 01 开始让你亲手造出一台计算机,并在上面运行俄罗斯方块小游戏。一门课里涵盖了编译、虚拟机、汇编、体系结构、数字电路、逻辑门等等从上至下、从软至硬的各类知识,非常全面。难度上也是通过精心的设计,略去了众多现代计算机复杂的细节,提取出了最核心本质的东西,力图让每个人都能理解。在低年级,如果就能从宏观上建立对整个计算机体系的鸟瞰图,是大有裨益的。

专业课

当然,如果想深入现代计算机体系结构的复杂细节,还得上一门大学本科难度的课程 UCB CS61C: Great Ideas in Computer Architecture。UC Berkeley 作为 RISC-V 架构的发源地,在体系结构领域算得上首屈一指。其课程非常注重实践,你会在 Project 中手写汇编构造神经网络,从零开始搭建一个 CPU,这些实践都会让你对计算机体系结构有更为深入的理解,而不是仅停留于“取指译码执行访存写回”的单调背诵里。

系统入门

计算机系统是一个庞杂而深刻的主题,在深入学习某个细分领域之前,对各个领域有一个宏观概念性的理解,对一些通用性的设计原则有所知晓,会让你在之后的深入学习中不断强化一些最为核心乃至哲学的概念,而不会桎梏于复杂的内部细节和各种 trick。因为在我看来,学习系统最关键的还是想让你领悟到这些最核心的东西,从而能够设计和实现出属于自己的系统。

MIT6.033: System Engineering 是 MIT 的系统入门课,主题涉及了操作系统、网络、分布式和系统安全,除了知识点的传授外,这门课还会讲授一些写作和表达上的技巧,让你学会如何设计并向别人介绍和分析自己的系统。这本书配套的教材 Principles of Computer System Design: An Introduction 也写得非常好,推荐大家阅读。

CMU 15-213: Introduction to Computer System 是 CMU 的系统入门课,内容覆盖了体系结构、操作系统、链接、并行、网络等等,兼具广度和深度,配套的教材 Computer Systems: A Programmer's Perspective 也是质量极高,强烈建议阅读。

操作系统

操作系统作为各类纷繁复杂的底层硬件虚拟化出一套规范优雅的抽象,给所有应用软件提供丰富的功能支持。了解操作系统的设计原则和内部原理对于一个不满足于当调包侠的程序员来说是大有裨益的。出于对操作系统的热爱,我上过国内外很多操作系统课程,它们各有侧重和优劣,大家可以根据兴趣各取所需。

MIT 6.S081: Operating System Engineering,MIT 著名 PDOS 实验室出品,11 个 Project 让你在一个实现非常优雅的类Unix操作系统xv6上增加各类功能模块。这门课也让我深刻认识到,做系统不是靠 PPT 念出来的,是得几万行代码一点点累起来的。

UCB CS162: Operating System,伯克利的操作系统课,采用和 Stanford 同样的 Project —— 一个教学用操作系统 Pintos。我作为北京大学2022年春季学期操作系统实验班的助教,引入并改善了这个 Project,课程资源也会全部开源,具体参见课程网站

NJU: Operating System Design and Implementation,南京大学的蒋炎岩老师开设的操作系统课程。蒋老师以其独到的视角

并行与分布式系统

想必这两年各类 CS 讲座里最常听到的话就是“摩尔定律正在走向终结”,此话不假,当单核能力达到上限时,多核乃至众核架构如日中天。硬件的变化带来的是上层编程逻辑的适应与改变,要想充分利用硬件性能,编写并行程序几乎成了程序员的必备技能。与此同时,深度学习的兴起对计算机算力与存储的要求都达到了前所未有的高度,大规模集群的部署和优化也成为热门技术话题。

并行计算

CMU 15-418/Stanford CS149: Parallel Computing

分布式系统

MIT 6.824: Distributed System

系统安全

不知道你当年选择计算机是不是因为怀着一个中二的黑客梦想,但现实却是成为黑客道阻且长。

理论

UCB CS161: Computer Security 是伯克利的系统安全课程,会涵盖栈攻击、密码学、网站安全、网络安全等等内容。

实践

掌握这些理论知识之后,还需要在实践中培养和锻炼这些“黑客素养”。CTF 夺旗赛是一项比较热门的系统安全比赛,赛题中会融会贯通地考察你对计算机各个领域知识的理解和运用。北大今年也成功举办了第 0 届和第 1 届,鼓励大家后期踊跃参与,在实践中提高自己。下面列举一些我平时学习(摸鱼)用到的资源:

计算机网络

计网著名教材《自顶向下方法》的配套学习资源 Computer Networking: A Top-Down Approach

没有什么能比自己写个 TCP/IP 协议栈更能加深对计算机网络的理解了,所以不妨试试 Stanford CS144: Computer Network,8 个 Project 带你实现整个协议栈。

数据库系统

没有什么能比自己写个关系型数据库更能加深对数据库系统的理解了。

C++版

CMU 15-445: Introduction to Database System

Java版

UCB CS186: Introduction to Database System

编译原理

没有什么能比自己写个编译器更能加深对编译器的理解了。

Stanford CS143: Compilers

计算机图形学

Stanford CS148 Games101 Games103 Games202

Web开发

网站的开发很少在计算机的培养方案里被重视,但其实掌握这项技能还是好处多多的,例如搭建自己的个人主页,抑或是给自己的课程项目做一个精彩的展示网页。

两周速成版

MIT web development course

系统学习版

Stanford CS142: Web Applications

数据科学

UCB Data100: Principles and Techniques of Data Science

人工智能

入门课

Harvard CS50’s Introduction to AI with Python

专业课

UCB CS188: Introduction to Artificial Intelligence

机器学习

入门课

Coursera: Machine Learning

专业课

深度学习

入门课

计算机视觉

Stanford CS231n: CNN for Visual Recognition

自然语言处理

Stanford CS224n: Natural Language Processing

图神经网络

Stanford CS224w: Machine Learning with Graphs

强化学习

UCB CS285: Deep Reinforcement Learning

定制属于你的课程地图

授人以鱼不如授人以渔。

以上的课程规划难免带有强烈的个人偏好,不一定适合所有人,更多是起到抛砖引玉的作用。如果你想挑选自己感兴趣的方向和内容加以学习,可以参考我在下面列出来的资源。


最后更新: September 4, 2022

一个仅供参考的 CS 学习规划

计算机领域方向庞杂,知识浩如烟海,每个细分领域如果深究下去都可以说学无止境。因此,一个清晰明确的学习规划是非常重要的。这一节的内容是对后续整本书的内容的一个概览,你可以将其看作是这本书的目录,按需选择自己感兴趣的内容进行学习。

不过,在开始学习之前,先向小白们强烈推荐一个科普向系列视频 Crash Course: Computer Science,在短短 8 个小时里非常生动且全面地科普了关于计算机科学的方方面面:计算机的历史、计算机是如何运作的、组成计算机的各个重要模块、计算机科学中的重要思想等等等等。正如它的口号所说的 Computers are not magic!,希望看完这个视频之后,大家能对计算机科学有个全貌性地感知,从而怀着兴趣去面对下面浩如烟海的更为细致且深入的学习内容。

必学工具

俗话说:磨刀不误砍柴工。如果你是一个刚刚接触计算机的24k纯小白,学会一些工具将会让你事半功倍。

学会提问:也许你会惊讶,提问也算计算机必备技能吗,还放在第一条?我觉得在开源社区中,学会提问是一项非常重要的能力,它包含两方面的事情。其一是会变相地培养你自主解决问题的能力,因为从形成问题、描述问题并发布、他人回答、最后再到理解回答这个周期是非常长的,如果遇到什么鸡毛蒜皮的事情都希望别人最好远程桌面手把手帮你完成,那计算机的世界基本与你无缘了。其二,如果真的经过尝试还无法解决,可以借助开源社区的帮助,但这时候如何通过简洁的文字让别人瞬间理解你的处境以及目的,就显得尤为重要。推荐阅读提问的智慧这篇文章,这不仅能提高你解决问题的概率和效率,也能让开源社区里无偿提供解答的人们拥有一个好心情。

MIT-Missing-Semester 这门课覆盖了这些工具中绝大部分,而且有相当详细的使用指导,强烈建议小白学习。

翻墙:由于一些众所周知的原因,谷歌、GitHub 等网站在大陆无法访问。然而很多时候,谷歌和 StackOverflow 可以解决你在开发过程中遇到的 95% 的问题。因此,学会翻墙几乎是一个内地 CSer 的必备技能。(考虑到法律问题,这个文档提供的翻墙方式仅对拥有北大邮箱的用户适用)。

命令行:熟练使用命令行是一种常常被忽视,或被认为难以掌握的技能,但实际上,它会提高极大地提高你作为工程师的灵活性以及生产力。命令行的艺术是一份非常经典的教程,它源于 Quora 的一个提问,但在各路大神的贡献努力下已经成为了一个 GitHub 十万 stars 的顶流项目,被翻译成了十几种语言。教程不长,非常建议大家反复通读,在实践中内化吸收。同时,掌握 shell 脚本编程也是一项不容忽视的技术,可以参考这个教程

IDE (Integrated Development Environment):集成开发环境,说白了就是你写代码的地方。作为一个码农,IDE 的重要性不言而喻,但由于很多 IDE 是为大型工程项目设计的,体量较大,功能也过于丰富。其实如今一些轻便的文本编辑器配合丰富的插件生态基本可以满足日常的轻量编程需求。个人常用的编辑器是 VS Code 和 Sublime(前者的插件配置非常简单,后者略显复杂但颜值很高)。当然对于大型项目我还是会采用略重型的 IDE,例如 Pycharm (Python),IDEA (Java) 等等(免责申明:所有的 IDE 都是世界上最好的 IDE)。

Vim:一款命令行编辑工具。这是一个学习曲线有些陡峭的编辑器,不过学会它我觉得是非常有必要的,因为它将极大地提高你的开发效率。现在绝大多数 IDE 也都支持 Vim 插件,让你在享受现代开发环境的同时保留极客的炫酷(yue)。

Git:一款代码版本控制工具。Git的学习曲线可能更为陡峭,但出自 Linux 之父 Linus 之手的 Git 绝对是每个学 CS 的童鞋必须掌握的神器之一。

GitHub:基于 Git 的代码托管平台。全世界最大的代码开源社区,大佬集聚地。

GNU Make:一款工程构建工具。善用 GNU Make 会让你养成代码模块化的习惯,同时也能让你熟悉一些大型工程的编译链接流程。

CMake:一款功能比 GNU Make 更为强大的构建工具,建议掌握 GNU Make 之后再加以学习。

LaTex逼格提升 论文排版工具。

Docker:一款相较于虚拟机更轻量级的软件打包与环境部署工具。

实用工具箱:除了上面提到的这些在开发中使用频率极高的工具之外,我还收集了很多实用有趣的免费工具,例如一些下载工具、设计工具、学习网站等等。

Thesis:毕业论文 Word 写作教程。

好书推荐

私以为一本好的教材应当是以人为本的,而不是炫技式的理论堆砌。告诉读者“是什么”固然重要,但更好的应当是教材作者将其在这个领域深耕几十年的经验融汇进书中,向读者娓娓道来“为什么”以及未来应该“怎么做”。

链接戳这里

环境配置

你以为的开发 —— 在 IDE 里疯狂码代码数小时。

实际上的开发 —— 配环境配几天还没开始写代码。

推荐一个非常不错的 GitHub 项目 DevOps-Guide,其中涵盖了非常多的运维方面的基础知识和教程,例如 Docker, Kubernetes, Linux, CI-CD, GitHub Actions 等等。

另外大家可以参考一份灵感来自 6.NULL MIT-Missing-Semester环境配置指南,重点在于终端的美化配置。此外还包括常用软件源(如 GitHub, Anaconda, PyPI 等)的加速与替换以及一些 IDE 的配置与激活教程。

More contents under construction.

课程地图

正如这章开头提到的,这份课程地图仅仅是一个仅供参考的课程规划,我作为一个临近毕业的本科生。深感自己没有权利也没有能力向别人宣扬“应该怎么学”。因此如果你觉得以下的课程分类与选择有不合理之处,我全盘接受,并深感抱歉。你可以在下一节定制属于你的课程地图

以下课程类别中除了含有 基础入门 字眼的以外,并无明确的先后次序,大家只要满足某个课程的先修要求,完全可以根据自己的需要和喜好选择想要学习的课程。

另外由于贡献者的不断增加,这份课程地图已经从最初我的学习经历,发展成为很多 CS 自学者的资源合集,其中难免有内容交叉甚至重复的。但之所以都列出来,还是希望集百家之长,给大家尽可能多的选择与参考。

数学基础

微积分与线性代数

作为大一新生,学好微积分线代是和写代码至少同等重要的事情,相信已经有无数的前人经验提到过这一点,但我还是要不厌其烦地再强调一遍:学好微积分线代真的很重要!你也许会吐槽这些东西岂不是考完就忘,那我觉得你是并没有把握住它们本质,对它们的理解还没有达到刻骨铭心的程度。如果觉得老师课上讲的内容晦涩难懂,不妨参考 MIT 的 Calculus Course18.06: Linear Algebra 的课程 notes,至少于我而言,它帮助我深刻理解了微积分和线性代数的许多本质。顺道再安利一个油管数学网红 3Blue1Brown,他的频道有很多用生动形象的动画阐释数学本质内核的视频,兼具深度和广度,质量非常高。

信息论入门

作为计算机系的学生,及早了解一些信息论的基础知识,我觉得是大有裨益的。但大多信息论课程都面向高年级本科生甚至研究生,对新手极不友好。而 MIT 的 6.050J: Information theory and Entropy 这门课正是为大一新生量身定制的,几乎没有先修要求,涵盖了编码、压缩、通信、信息熵等等内容,非常有趣。

数学进阶

离散数学与概率论

集合论、图论、概率论等等是算法推导与证明的重要工具,也是后续高阶数学课程的基础。但我觉得这类课程的讲授很容易落入理论化与形式化的窠臼,让课堂成为定理结论的堆砌,而无法使学生深刻把握理论的本质,进而造成学了就背,考了就忘的怪圈。如果能在理论教学中穿插算法运用实例,学生在拓展算法知识的同时也能窥见理论的力量和魅力。

UCB CS70 : discrete Math and probability theoryUCB CS126 : Probability theory 是 UC Berkeley 的概率论课程,前者覆盖了离散数学和概率论基础,后者则涉及随机过程以及深入的理论内容。两者都非常注重理论和实践的结合,有丰富的算法实际运用实例,后者还有大量的Python编程作业来让学生运用概率论的知识解决实际问题。

数值分析

作为计算机系的学生,培养计算思维是很重要的,实际问题的建模、离散化,计算机的模拟、分析,是一项很重要的能力。而这两年开始风靡的,由 MIT 打造的 Julia 编程语言以其 C 一样的速度和 Python 一样友好的语法在数值计算领域有一统天下之势,MIT 的许多数学课程也开始用 Julia 作为教学工具,把艰深的数学理论用直观清晰的代码展示出来。

ComputationalThinking 是 MIT 开设的一门计算思维入门课,所有课程内容全部开源,可以在课程网站直接访问。这门课利用 Julia 编程语言,在图像处理、社会科学与数据科学、气候学建模三个 topic 下带领学生理解算法、数学建模、数据分析、交互设计、图例展示,让学生体验计算与科学的美妙结合。内容虽然不难,但给我最深刻的感受就是,科学的魅力并不是故弄玄虚的艰深理论,不是诘屈聱牙的术语行话,而是用直观生动的案例,用简练深刻的语言,让每个普通人都能理解。

上完上面的体验课之后,如果意犹未尽的话,不妨试试 MIT 的 18.330 : Introduction to numerical analysis,这门课的编程作业同样会用 Julia 编程语言,不过难度和深度上都上了一个台阶。内容涉及了浮点编码、Root finding、线性系统、微分方程等等方面,整门课的主旨就是让你利用离散化的计算机表示去估计和逼近一个数学上连续的概念。这门课的教授还专门撰写了一本配套的开源教材 Fundamentals of Numerical Computation,里面附有丰富的 Julia 代码实例和严谨的公式推导。

如果你还意犹未尽的话,还有 MIT 的研究生课程 18.335: Introduction to numerical method 供你参考。

微分方程

如果世间万物的运动发展都能用方程来刻画和描述,这是一件多么酷的事情呀!虽然几乎任何一所学校的 CS 培养方案中都没有微分方程相关的必修课程,但我还是觉得掌握它会赋予你一个新的视角来审视这个世界。

由于微分方程中往往会用到很多复变函数的知识,所以大家可以参考 MIT18.04: Complex variables functions 的课程 notes 来补齐先修知识。

MIT18.03: differential equations) 主要覆盖了常微分方程的求解,在此基础之上 MIT18.152: Partial differential equations) 则会深入偏微分方程的建模与求解。掌握了微分方程这一有利工具,相信对于你的实际问题的建模能力以及从众多噪声变量中把握本质的直觉都会有很大帮助。

数学高阶

作为计算机系的学生,我经常听到数学无用论的论断,对此我不敢苟同但也无权反对,但若凡事都硬要争出个有用和无用的区别来,倒也着实无趣,因此下面这些面向高年级甚至研究生的数学课程,大家按兴趣自取所需。

凸优化

Standford EE364A: Convex Optimization

信息论

MIT6.441: Information Theory

应用统计学

MIT18.650: Statistics for Applications

初等数论

MIT18.781: Theory of Numbers

密码学

Standford CS255: Cryptography

编程入门

Languages are tools, you choose the right tool to do the right thing. Since there's no universally perfect tool, there's no universally perfect language.

Shell

Python

C++

Rust

OCaml

电子基础

电路基础

作为计算机系的学生,了解一些基础的电路知识,感受从传感器收集数据到数据分析再到算法预测整条流水线,对于后续知识的学习以及计算思维的培养还是很有帮助的。EE16A&B: Designing Information Devices and Systems I&II 是伯克利 EE 学生的大一入门课,其中 EE16A 注重通过电路从实际环境中收集和分析数据,而 EE16B 则侧重从这些收集到的数据进行分析并做出预测行为。

信号与系统

信号与系统是一门我觉得非常值得一上的课,最初学它只是为了满足我对傅里叶变换的好奇,但学完之后我才不禁感叹,傅立叶变换给我提供了一个全新的视角去看待这个世界,就如同微分方程一样,让你沉浸在用数学去精确描绘和刻画这个世界的优雅与神奇之中。

MIT 6.003: signal and systems 提供了全部的课程录影、书面作业以及答案。也可以去看这门课的远古版本

UCB EE120: Signal and Systems 关于傅立叶变换的 notes 写得非常好,并且提供了6 个非常有趣的 Python 编程作业,让你实践中运用信号与系统的理论与算法。

数据结构与算法

数据结构与算法

算法设计与分析

软件工程

入门课

一份“能跑”的代码,和一份高质量的工业级代码是有本质区别的。因此我非常推荐低年级的同学学习一下 MIT 6.031: Software Construction 这门课,它会以 Java 语言为基础,以丰富细致的阅读材料和精心设计的编程练习传授如何编写不易出 bug、简明易懂、易于维护修改的高质量代码。大到宏观数据结构设计,小到如何写注释,遵循这些前人总结的细节和经验,对于你此后的编程生涯大有裨益。

专业课

当然,如果你想系统性地上一门软件工程的课程,那我推荐的是伯克利的 UCB CS169: software engineering。但需要提醒的是,和大多学校(包括贵校)的软件工程课程不同,这门课不会涉及传统的 design and document 模式,即强调各种类图、流程图及文档设计,而是采用近些年流行起来的小团队快速迭代 Agile Develepment 开发模式以及利用云平台的 Software as a service 服务模式。

体系结构

入门课

从小我就一直听说,计算机的世界是由 01 构成的,我不理解但大受震撼。如果你的内心也怀有这份好奇,不妨花一到两个月的时间学习 Coursera: Nand2Tetris 这门无门槛的计算机课程。这门麻雀虽小五脏俱全的课程会从 01 开始让你亲手造出一台计算机,并在上面运行俄罗斯方块小游戏。一门课里涵盖了编译、虚拟机、汇编、体系结构、数字电路、逻辑门等等从上至下、从软至硬的各类知识,非常全面。难度上也是通过精心的设计,略去了众多现代计算机复杂的细节,提取出了最核心本质的东西,力图让每个人都能理解。在低年级,如果就能从宏观上建立对整个计算机体系的鸟瞰图,是大有裨益的。

专业课

当然,如果想深入现代计算机体系结构的复杂细节,还得上一门大学本科难度的课程 UCB CS61C: Great Ideas in Computer Architecture。UC Berkeley 作为 RISC-V 架构的发源地,在体系结构领域算得上首屈一指。其课程非常注重实践,你会在 Project 中手写汇编构造神经网络,从零开始搭建一个 CPU,这些实践都会让你对计算机体系结构有更为深入的理解,而不是仅停留于“取指译码执行访存写回”的单调背诵里。

系统入门

计算机系统是一个庞杂而深刻的主题,在深入学习某个细分领域之前,对各个领域有一个宏观概念性的理解,对一些通用性的设计原则有所知晓,会让你在之后的深入学习中不断强化一些最为核心乃至哲学的概念,而不会桎梏于复杂的内部细节和各种 trick。因为在我看来,学习系统最关键的还是想让你领悟到这些最核心的东西,从而能够设计和实现出属于自己的系统。

MIT6.033: System Engineering 是 MIT 的系统入门课,主题涉及了操作系统、网络、分布式和系统安全,除了知识点的传授外,这门课还会讲授一些写作和表达上的技巧,让你学会如何设计并向别人介绍和分析自己的系统。这本书配套的教材 Principles of Computer System Design: An Introduction 也写得非常好,推荐大家阅读。

CMU 15-213: Introduction to Computer System 是 CMU 的系统入门课,内容覆盖了体系结构、操作系统、链接、并行、网络等等,兼具广度和深度,配套的教材 Computer Systems: A Programmer's Perspective 也是质量极高,强烈建议阅读。

操作系统

操作系统作为各类纷繁复杂的底层硬件虚拟化出一套规范优雅的抽象,给所有应用软件提供丰富的功能支持。了解操作系统的设计原则和内部原理对于一个不满足于当调包侠的程序员来说是大有裨益的。出于对操作系统的热爱,我上过国内外很多操作系统课程,它们各有侧重和优劣,大家可以根据兴趣各取所需。

MIT 6.S081: Operating System Engineering,MIT 著名 PDOS 实验室出品,11 个 Project 让你在一个实现非常优雅的类Unix操作系统xv6上增加各类功能模块。这门课也让我深刻认识到,做系统不是靠 PPT 念出来的,是得几万行代码一点点累起来的。

UCB CS162: Operating System,伯克利的操作系统课,采用和 Stanford 同样的 Project —— 一个教学用操作系统 Pintos。我作为北京大学2022年春季学期操作系统实验班的助教,引入并改善了这个 Project,课程资源也会全部开源,具体参见课程网站

NJU: Operating System Design and Implementation,南京大学的蒋炎岩老师开设的操作系统课程。蒋老师以其独到的视角

并行与分布式系统

想必这两年各类 CS 讲座里最常听到的话就是“摩尔定律正在走向终结”,此话不假,当单核能力达到上限时,多核乃至众核架构如日中天。硬件的变化带来的是上层编程逻辑的适应与改变,要想充分利用硬件性能,编写并行程序几乎成了程序员的必备技能。与此同时,深度学习的兴起对计算机算力与存储的要求都达到了前所未有的高度,大规模集群的部署和优化也成为热门技术话题。

并行计算

CMU 15-418/Stanford CS149: Parallel Computing

分布式系统

MIT 6.824: Distributed System

系统安全

不知道你当年选择计算机是不是因为怀着一个中二的黑客梦想,但现实却是成为黑客道阻且长。

理论

UCB CS161: Computer Security 是伯克利的系统安全课程,会涵盖栈攻击、密码学、网站安全、网络安全等等内容。

实践

掌握这些理论知识之后,还需要在实践中培养和锻炼这些“黑客素养”。CTF 夺旗赛是一项比较热门的系统安全比赛,赛题中会融会贯通地考察你对计算机各个领域知识的理解和运用。北大今年也成功举办了第 0 届和第 1 届,鼓励大家后期踊跃参与,在实践中提高自己。下面列举一些我平时学习(摸鱼)用到的资源:

计算机网络

计网著名教材《自顶向下方法》的配套学习资源 Computer Networking: A Top-Down Approach

没有什么能比自己写个 TCP/IP 协议栈更能加深对计算机网络的理解了,所以不妨试试 Stanford CS144: Computer Network,8 个 Project 带你实现整个协议栈。

数据库系统

没有什么能比自己写个关系型数据库更能加深对数据库系统的理解了。

C++版

CMU 15-445: Introduction to Database System

Java版

UCB CS186: Introduction to Database System

编译原理

没有什么能比自己写个编译器更能加深对编译器的理解了。

Stanford CS143: Compilers

计算机图形学

Stanford CS148 Games101 Games103 Games202

Web开发

网站的开发很少在计算机的培养方案里被重视,但其实掌握这项技能还是好处多多的,例如搭建自己的个人主页,抑或是给自己的课程项目做一个精彩的展示网页。

两周速成版

MIT web development course

系统学习版

Stanford CS142: Web Applications

数据科学

UCB Data100: Principles and Techniques of Data Science

人工智能

入门课

Harvard CS50’s Introduction to AI with Python

专业课

UCB CS188: Introduction to Artificial Intelligence

机器学习

入门课

Coursera: Machine Learning

专业课

深度学习

入门课

计算机视觉

Stanford CS231n: CNN for Visual Recognition

自然语言处理

Stanford CS224n: Natural Language Processing

图神经网络

Stanford CS224w: Machine Learning with Graphs

强化学习

UCB CS285: Deep Reinforcement Learning

定制属于你的课程地图

授人以鱼不如授人以渔。

以上的课程规划难免带有强烈的个人偏好,不一定适合所有人,更多是起到抛砖引玉的作用。如果你想挑选自己感兴趣的方向和内容加以学习,可以参考我在下面列出来的资源。


最后更新: September 4, 2022
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Stanford CS142: Web Applications

课程简介

  • 所属大学:Stanford
  • 先修要求:有一定的编程经验
  • 编程语言:JavaScript/HTML/CSS
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:100 小时

斯坦福的 Web 应用开发课程,内容覆盖了 HTML, CSS, JavaScript, ReactJs, NodeJS, ExpressJS, Web安全等等。8 个 Project 会让你在实战中锻炼自己的 Web 开发技巧。

课程资源


最后更新: April 3, 2022

Stanford CS142: Web Applications

课程简介

  • 所属大学:Stanford
  • 先修要求:有一定的编程经验
  • 编程语言:JavaScript/HTML/CSS
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:100 小时

斯坦福的 Web 应用开发课程,内容覆盖了 HTML, CSS, JavaScript, ReactJs, NodeJS, ExpressJS, Web安全等等。8 个 Project 会让你在实战中锻炼自己的 Web 开发技巧。

课程资源


最后更新: April 3, 2022
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\ No newline at end of file diff --git a/Web开发/fullstackopen/index.html b/Web开发/fullstackopen/index.html index 1ceccc69..40f45f01 100644 --- a/Web开发/fullstackopen/index.html +++ b/Web开发/fullstackopen/index.html @@ -1,2 +1,2 @@ - University of Helsinki: Full Stack open 2022 - CS自学指南

University of Helsinki: Full Stack open 2022

课程简介

  • 所属大学:University of Helsinki
  • 先修要求:具备良好的编程技能、基本的网络编程和数据库知识,并且了解使用 Git 这个版本控制系统的基础知识。
  • 编程语言:JavaScript/HTML/CSS/NoSQL/SQL
  • 课程难度:🌟🌟
  • 预计学时:因人而异

本课程是介绍如何使用 JavaScript 开发现代Web应用程序。 课程的重点是使用 ReactJS 构建单页面应用程序(SPA),并使用由 Node.js 构建 REST API。该课程还包含介绍 GraphQL 的部分,这是 REST API 的现代替代方案。

课程还包括测试、配置和环境管理,以及使用 MongoDB 来存储应用的数据。

课程资源


最后更新: September 7, 2022

University of Helsinki: Full Stack open 2022

课程简介

  • 所属大学:University of Helsinki
  • 先修要求:具备良好的编程技能、基本的网络编程和数据库知识,并且了解使用 Git 这个版本控制系统的基础知识。
  • 编程语言:JavaScript/HTML/CSS/NoSQL/SQL
  • 课程难度:🌟🌟
  • 预计学时:因人而异

本课程是介绍如何使用 JavaScript 开发现代Web应用程序。 课程的重点是使用 ReactJS 构建单页面应用程序(SPA),并使用由 Node.js 构建 REST API。该课程还包含介绍 GraphQL 的部分,这是 REST API 的现代替代方案。

课程还包括测试、配置和环境管理,以及使用 MongoDB 来存储应用的数据。

课程资源


最后更新: September 7, 2022
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\ No newline at end of file diff --git a/Web开发/mitweb/index.html b/Web开发/mitweb/index.html index ad1ebfac..b3548b66 100644 --- a/Web开发/mitweb/index.html +++ b/Web开发/mitweb/index.html @@ -1,2 +1,2 @@ - MIT web development course - CS自学指南

MIT Web Development Crash Course

课程简介

  • 所属大学:MIT
  • 先修要求:掌握至少一门编程语言
  • 编程语言:JavaScript/HTML/CSS/NoSQL
  • 课程难度:🌟🌟🌟
  • 预计学时:因人而异

MIT 在每年 1 月份会有一个为期 4 周的 Independent Activities Period (IAP),在这个月里,MIT 的学生和老师可以自由地开设很多有趣的课程,而这门网站开发课程就是其中之一。

在一个月的时间里,你会从零开始掌握一个网站的设计、搭建、美化、交互等等核心内容,基本覆盖了 Web 开发的前后端大部分技术栈。如果你不需要系统地学习网络开发,而只是出于兴趣想把它加入自己的技能包里,那么这门课将非常适合你。

课程资源


最后更新: April 3, 2022

MIT Web Development Crash Course

课程简介

  • 所属大学:MIT
  • 先修要求:掌握至少一门编程语言
  • 编程语言:JavaScript/HTML/CSS/NoSQL
  • 课程难度:🌟🌟🌟
  • 预计学时:因人而异

MIT 在每年 1 月份会有一个为期 4 周的 Independent Activities Period (IAP),在这个月里,MIT 的学生和老师可以自由地开设很多有趣的课程,而这门网站开发课程就是其中之一。

在一个月的时间里,你会从零开始掌握一个网站的设计、搭建、美化、交互等等核心内容,基本覆盖了 Web 开发的前后端大部分技术栈。如果你不需要系统地学习网络开发,而只是出于兴趣想把它加入自己的技能包里,那么这门课将非常适合你。

课程资源


最后更新: April 3, 2022
Back to top
\ No newline at end of file diff --git a/index.html b/index.html index bfecce53..93ef30a7 100644 --- a/index.html +++ b/index.html @@ -1,2 +1,2 @@ - CS自学指南

前言

最近更新:增加陈天奇机器学习编译,增加 CMU 机器学习系统

这是一本计算机的自学指南,也是对自己大学三年自学生涯的一个纪念。

这同时也是一份献给北大信科学弟学妹们的礼物。如果这本书能对你们的信科生涯有哪怕一丝一毫的帮助,都是对我极大的鼓励和慰藉。

本书目前规划了以下部分(如果你有其他好的建议,或者想加入贡献者的行列,欢迎邮件 zhongyinmin@pku.edu.cn 或者在 issue 里提问):

  • 必学工具:IDE, 翻墙, StackOverflow, Git, GitHub, Vim, LaTeX, GNU Make, 实用工具 ...
  • 国外高质量 CS 课程汇总:我将把我上过的所有高质量的国外 CS 课程分门别类进行汇总,并给出相关的自学建议,大部分课程都会有一个独立的仓库维护相关的资源以及我的作业实现。
  • 环境配置:Linux 基础,bash,环境变量,Anaconda ...
  • 经典书籍推荐:看过 CSAPP 这本书的同学一定感叹好书的重要,我将列举推荐自己看过的计算机领域的必看好书与资源链接。

梦开始的地方 —— CS61A

大一入学时我是一个对计算机一无所知的小白,装了几十个 G 的 Visual Studio 天天和 OJ 你死我活。凭着高中的数学底子我数学课学得还不错,但在专业课上对竞赛大佬只有仰望。提到编程我只会打开那笨重的 IDE,新建一个我也不知道具体是干啥的命令行项目,然后就是 cin, cout, for 循环,然后 CE, RE, WA 循环。当时的我就处在一种拼命想学好但不知道怎么学,课上认真听讲但题还不会做,课后做作业完全是用时间和它硬耗的痛苦状态。我至今电脑里还存着自己大一上学期计算概论大作业的源代码 —— 一个 1200 行的 C++ 文件,没有头文件、没有类、没有封装、没有 unit test、没有 Makefile、没有 Git,唯一的优点是它确实能跑,缺点是“能跑”的补集。我一度怀疑我是不是不适合学计算机,因为童年对于极客的所有想象,已经被我第一个学期的体验彻底粉碎了。

这一切的转机发生在我大一的寒假,我心血来潮想学习 Python。无意间看到知乎有人推荐了 CS61A 这门课,说是 UC Berkeley 的大一入门课程,讲的就是 Python。我永远不会忘记那一天,打开 CS61A 课程网站的那个瞬间,就像哥伦布发现了新大陆一样,我开启了新世界的大门。

我一口气 3 个星期上完了这门课,它让我第一次感觉到原来 CS 可以学得如此充实而有趣,原来这世上竟有如此精华的课程。

为避免有崇洋媚外之嫌,我单纯从一个学生的视角来讲讲自学 CS61A 的体验:

  • 独立搭建的课程网站: 一个网站将所有课程资源整合一体,条理分明的课程 schedule、所有 slides, hw, discussion 的文件链接、详细明确的课程给分说明、历年的考试题与答案。这样一个网站抛开美观程度不谈,既方便学生,也让资源公正透明。

  • 课程教授亲自编写的教材:CS61A 这门课的开课老师将MIT的经典教材 Structure and Interpretation of Computer Programs (SICP) 用Python这门语言进行改编(原教材基于 Scheme 语言),保证了课堂内容与教材内容的一致性,同时补充了更多细节,可以说诚意满满。而且全书开源,可以直接线上阅读。

  • 丰富到让人眼花缭乱的课程作业:14 个 lab 巩固随堂知识点,10 个 homework,还有 4 个代码量均上千行的 project。与大家熟悉的 OJ 和 Word 文档式的作业不同,所有作业均有完善的代码框架,保姆级的作业说明。每个 Project 都有详尽的 handout 文档、全自动的评分脚本。CS61A 甚至专门开发了一个自动化的作业提交评分系统(据说还发了论文)。当然,有人会说“一个 project 几千行代码大部分都是助教帮你写好的,你还能学到啥?”。此言差矣,作为一个刚刚接触计算机,连安装 Python 都磕磕绊绊的小白来说,这样完善的代码框架既可以让你专注于巩固课堂上学习到的核心知识点,又能有“我才学了一个月就能做一个小游戏了!”的成就感,还能有机会阅读学习别人高质量的代码,从而为自己所用。我觉得在低年级,这种代码框架可以说百利而无一害。唯一的害也许是苦了老师和助教,因为开发这样的作业可想而知需要相当的时间投入。

  • 每周 Discussion 讨论课,助教会讲解知识难点和考试例题:类似于北京大学 ICS 的小班研讨,但习题全部用 LaTeX 撰写,相当规范且会明确给出 solution。

这样的课程,你完全不需要任何计算机的基础,你只需要努力、认真、花时间就够了。此前那种有劲没处使的感觉,那种付出再多时间却得不到回报的感觉,从此烟消云散。这太适合我了,我从此爱上了自学。

试想如果有人能把艰深的知识点嚼碎嚼烂,用生动直白的方式呈现给你,还有那么多听起来就很 fancy,种类繁多的 project 来巩固你的理论知识,你会觉得他们真的是在倾尽全力想方设法地让你完全掌握这门课,你会觉得不学好它简直是对这些课程建设者的侮辱。

如果你觉得我在夸大其词,那么不妨从 CS61A 开始,因为它是我的梦开始的地方。

为什么写这本书

在我2020年秋季学期担任《深入理解计算机系统》(CSAPP)这门课的助教时,我已经自学一年多了。这一年多来我无比享受这种自学模式,为了分享这种快乐,我为自己的小班同学做过一个 CS自学资料整理仓库。当时纯粹是心血来潮,因为我也不敢公然鼓励大家翘课自学。

但随着又一年时间的维护,这个仓库的内容已经相当丰富,基本覆盖了计科、智能系、软工系的绝大多数课程,我也为每个课程都建了各自的 GitHub 仓库,汇总我用到的自学资料以及作业实现。

直到大四开始凑学分毕业的时候,我打开自己的培养方案,我发现它已经是我这个自学仓库的子集了,而这距离我开始自学也才两年半而已。于是,一个大胆的想法在我脑海中浮现:也许,我可以打造一个自学式的培养方案,把我这三年自学经历中遇到的坑、走过的路记录下来,以期能为后来的学弟学妹们贡献自己的一份微薄之力。

如果大家可以在三年不到的时间里就能建立起整座CS的基础大厦,能有相对扎实的数学功底和代码能力,经历过数十个千行代码量的 Project 的洗礼,掌握至少 C/C++/Java/JS/Python/Go/Rust 等主流语言,对算法、电路、体系、网络、操统、编译、人工智能、机器学习、计算机视觉、自然语言处理、强化学习、密码学、信息论、博弈论、数值分析、统计学、分布式、数据库、图形学、Web开发、云服务、超算等等方面均有涉猎。我想,你将有足够的底气和自信选择自己感兴趣的方向,无论是就业还是科研,你都将有相当的竞争力。

因为我坚信,既然你能坚持听我 BB 到这里,你一定不缺学好 CS 的能力,你只是没有一个好的老师,给你讲一门好的课程。而我,将力图根据我三年的体验,为你挑选这样的课程。

自学的好处

对我来说,自学最大的好处就在于可以完全根据自己的进度来调整学习速度。对于一些疑难知识点,我可以反复回看视频,在网上谷歌相关的内容,上 StackOverflow 提问题,直到完全将它弄明白。而对于自己掌握得相对较快的内容,则可以两倍速甚至三倍速略过。

自学的另一大好处就是博采众长。计算机系的几大核心课程:体系、网络、操统、编译,每一门我基本都上过不同大学的课程,不同的教材、不同的知识点侧重、不同的 project 将会极大丰富你的视野,也会让你理解错误的一些内容得到及时纠正。

自学的第三个好处是时间自由,具体原因省略。

自学的坏处

当然,作为 CS 自学主义的忠实拥趸,我不得不承认自学也有它的坏处。

第一就是交流沟通的不便。我其实是一个很热衷于提问的人,对于所有没有弄明白的点,我都喜欢穷追到底。但当你面对着屏幕听到老师讲了一个你没明白的知识点的时候,你无法顺着网线到另一端向老师问个明白。我努力通过独立思考和善用 Google 来缓解这一点,但是,如果能有几个志同道合的伙伴结伴自学,那将是极好的。关于交流群的建立,大家可以参考仓库 README 中的教程。

第二就是这些自学的课程基本都是英文的。从视频到slides到作业全是英文,所以有一定的门槛。不过我觉得这个挑战如果你克服了的话对你是极为有利的。因为在当下,虽然我很不情愿,但也不得不承认,在计算机领域,很多优质的文档、论坛、网站都是全英文的。养成英文阅读的习惯,在赤旗插遍世界之前,还是有一定好处的(狗头保命)。

第三,也是我觉得最困难的一点,就是自律。因为没有 DDL 有时候真的是一件可怕的事情,特别是随着学习的深入,国外的很多课程是相当虐的。你得有足够的驱动力强迫自己静下心来,阅读几十页的 Project Handout,理解上千行的代码框架,忍受数个小时的 debug 时光。而这一切,没有学分,没有绩点,没有老师,没有同学,只有一个信念 —— 你在变强。

这本书适合谁

正如我在前言里说的,任何有志于自学计算机的朋友都可以参考这本书。如果你已经有了一定的计算机基础,只是对某个特定的领域感兴趣,可以选择性地挑选你感兴趣的内容进行学习。当然,如果你是一个像我当年一样对计算机一无所知的小白,初入大学的校门,我希望这本书能成为你的攻略,让你花最少的时间掌握你所需要的知识和能力。某种程度上,这本书更像是一个根据我的体验来排序的课程搜索引擎,帮助大家足不出户,体验世界顶级名校的计算机优质课程。

当然,作为一个还未毕业的本科生,我深感自己没有能力也没有权利去宣扬一种学习方式,我只是希望这份资料能让那些同样有自学之心和毅力朋友可以少走些弯路,收获更丰富、更多样、更满足的学习体验。

特别鸣谢

在这里,我怀着崇敬之心真诚地感谢所有将课程资源无偿开源的各位教授们。这些课程倾注了他们数十年教学生涯的积淀和心血,他们却选择无私地让所有人享受到如此高质量的CS教育。没有他们,我的大学生活不会这样充实而快乐。很多教授在我给他们发了感谢邮件之后,甚至会回复上百字的长文,真的让我无比感动。他们也时刻激励着我,做一件事,就得用心做好,无论是科研,还是为人。

你也想加入到贡献者的行列

一个人的力量终究是有限的,这本书也是我在繁重的科研之余熬夜抽空写出来的,难免有不够完善之处。另外,由于个人做的是系统方向,很多课程侧重系统领域,对于数学、理论计算机、高级算法相关的内容则相对少些。如果有大佬想在其他领域分享自己的自学经历与资源,可以直接在项目中发起 Pull Request,也欢迎和我邮件联系(zhongyinmin@pku.edu.cn)。

关于交流群的建立

方法参见仓库的 README.md


最后更新: September 5, 2022

前言

最近更新:增加陈天奇机器学习编译,增加 CMU 机器学习系统

这是一本计算机的自学指南,也是对自己大学三年自学生涯的一个纪念。

这同时也是一份献给北大信科学弟学妹们的礼物。如果这本书能对你们的信科生涯有哪怕一丝一毫的帮助,都是对我极大的鼓励和慰藉。

本书目前规划了以下部分(如果你有其他好的建议,或者想加入贡献者的行列,欢迎邮件 zhongyinmin@pku.edu.cn 或者在 issue 里提问):

  • 必学工具:IDE, 翻墙, StackOverflow, Git, GitHub, Vim, LaTeX, GNU Make, 实用工具 ...
  • 国外高质量 CS 课程汇总:我将把我上过的所有高质量的国外 CS 课程分门别类进行汇总,并给出相关的自学建议,大部分课程都会有一个独立的仓库维护相关的资源以及我的作业实现。
  • 环境配置:Linux 基础,bash,环境变量,Anaconda ...
  • 经典书籍推荐:看过 CSAPP 这本书的同学一定感叹好书的重要,我将列举推荐自己看过的计算机领域的必看好书与资源链接。

梦开始的地方 —— CS61A

大一入学时我是一个对计算机一无所知的小白,装了几十个 G 的 Visual Studio 天天和 OJ 你死我活。凭着高中的数学底子我数学课学得还不错,但在专业课上对竞赛大佬只有仰望。提到编程我只会打开那笨重的 IDE,新建一个我也不知道具体是干啥的命令行项目,然后就是 cin, cout, for 循环,然后 CE, RE, WA 循环。当时的我就处在一种拼命想学好但不知道怎么学,课上认真听讲但题还不会做,课后做作业完全是用时间和它硬耗的痛苦状态。我至今电脑里还存着自己大一上学期计算概论大作业的源代码 —— 一个 1200 行的 C++ 文件,没有头文件、没有类、没有封装、没有 unit test、没有 Makefile、没有 Git,唯一的优点是它确实能跑,缺点是“能跑”的补集。我一度怀疑我是不是不适合学计算机,因为童年对于极客的所有想象,已经被我第一个学期的体验彻底粉碎了。

这一切的转机发生在我大一的寒假,我心血来潮想学习 Python。无意间看到知乎有人推荐了 CS61A 这门课,说是 UC Berkeley 的大一入门课程,讲的就是 Python。我永远不会忘记那一天,打开 CS61A 课程网站的那个瞬间,就像哥伦布发现了新大陆一样,我开启了新世界的大门。

我一口气 3 个星期上完了这门课,它让我第一次感觉到原来 CS 可以学得如此充实而有趣,原来这世上竟有如此精华的课程。

为避免有崇洋媚外之嫌,我单纯从一个学生的视角来讲讲自学 CS61A 的体验:

  • 独立搭建的课程网站: 一个网站将所有课程资源整合一体,条理分明的课程 schedule、所有 slides, hw, discussion 的文件链接、详细明确的课程给分说明、历年的考试题与答案。这样一个网站抛开美观程度不谈,既方便学生,也让资源公正透明。

  • 课程教授亲自编写的教材:CS61A 这门课的开课老师将MIT的经典教材 Structure and Interpretation of Computer Programs (SICP) 用Python这门语言进行改编(原教材基于 Scheme 语言),保证了课堂内容与教材内容的一致性,同时补充了更多细节,可以说诚意满满。而且全书开源,可以直接线上阅读。

  • 丰富到让人眼花缭乱的课程作业:14 个 lab 巩固随堂知识点,10 个 homework,还有 4 个代码量均上千行的 project。与大家熟悉的 OJ 和 Word 文档式的作业不同,所有作业均有完善的代码框架,保姆级的作业说明。每个 Project 都有详尽的 handout 文档、全自动的评分脚本。CS61A 甚至专门开发了一个自动化的作业提交评分系统(据说还发了论文)。当然,有人会说“一个 project 几千行代码大部分都是助教帮你写好的,你还能学到啥?”。此言差矣,作为一个刚刚接触计算机,连安装 Python 都磕磕绊绊的小白来说,这样完善的代码框架既可以让你专注于巩固课堂上学习到的核心知识点,又能有“我才学了一个月就能做一个小游戏了!”的成就感,还能有机会阅读学习别人高质量的代码,从而为自己所用。我觉得在低年级,这种代码框架可以说百利而无一害。唯一的害也许是苦了老师和助教,因为开发这样的作业可想而知需要相当的时间投入。

  • 每周 Discussion 讨论课,助教会讲解知识难点和考试例题:类似于北京大学 ICS 的小班研讨,但习题全部用 LaTeX 撰写,相当规范且会明确给出 solution。

这样的课程,你完全不需要任何计算机的基础,你只需要努力、认真、花时间就够了。此前那种有劲没处使的感觉,那种付出再多时间却得不到回报的感觉,从此烟消云散。这太适合我了,我从此爱上了自学。

试想如果有人能把艰深的知识点嚼碎嚼烂,用生动直白的方式呈现给你,还有那么多听起来就很 fancy,种类繁多的 project 来巩固你的理论知识,你会觉得他们真的是在倾尽全力想方设法地让你完全掌握这门课,你会觉得不学好它简直是对这些课程建设者的侮辱。

如果你觉得我在夸大其词,那么不妨从 CS61A 开始,因为它是我的梦开始的地方。

为什么写这本书

在我2020年秋季学期担任《深入理解计算机系统》(CSAPP)这门课的助教时,我已经自学一年多了。这一年多来我无比享受这种自学模式,为了分享这种快乐,我为自己的小班同学做过一个 CS自学资料整理仓库。当时纯粹是心血来潮,因为我也不敢公然鼓励大家翘课自学。

但随着又一年时间的维护,这个仓库的内容已经相当丰富,基本覆盖了计科、智能系、软工系的绝大多数课程,我也为每个课程都建了各自的 GitHub 仓库,汇总我用到的自学资料以及作业实现。

直到大四开始凑学分毕业的时候,我打开自己的培养方案,我发现它已经是我这个自学仓库的子集了,而这距离我开始自学也才两年半而已。于是,一个大胆的想法在我脑海中浮现:也许,我可以打造一个自学式的培养方案,把我这三年自学经历中遇到的坑、走过的路记录下来,以期能为后来的学弟学妹们贡献自己的一份微薄之力。

如果大家可以在三年不到的时间里就能建立起整座CS的基础大厦,能有相对扎实的数学功底和代码能力,经历过数十个千行代码量的 Project 的洗礼,掌握至少 C/C++/Java/JS/Python/Go/Rust 等主流语言,对算法、电路、体系、网络、操统、编译、人工智能、机器学习、计算机视觉、自然语言处理、强化学习、密码学、信息论、博弈论、数值分析、统计学、分布式、数据库、图形学、Web开发、云服务、超算等等方面均有涉猎。我想,你将有足够的底气和自信选择自己感兴趣的方向,无论是就业还是科研,你都将有相当的竞争力。

因为我坚信,既然你能坚持听我 BB 到这里,你一定不缺学好 CS 的能力,你只是没有一个好的老师,给你讲一门好的课程。而我,将力图根据我三年的体验,为你挑选这样的课程。

自学的好处

对我来说,自学最大的好处就在于可以完全根据自己的进度来调整学习速度。对于一些疑难知识点,我可以反复回看视频,在网上谷歌相关的内容,上 StackOverflow 提问题,直到完全将它弄明白。而对于自己掌握得相对较快的内容,则可以两倍速甚至三倍速略过。

自学的另一大好处就是博采众长。计算机系的几大核心课程:体系、网络、操统、编译,每一门我基本都上过不同大学的课程,不同的教材、不同的知识点侧重、不同的 project 将会极大丰富你的视野,也会让你理解错误的一些内容得到及时纠正。

自学的第三个好处是时间自由,具体原因省略。

自学的坏处

当然,作为 CS 自学主义的忠实拥趸,我不得不承认自学也有它的坏处。

第一就是交流沟通的不便。我其实是一个很热衷于提问的人,对于所有没有弄明白的点,我都喜欢穷追到底。但当你面对着屏幕听到老师讲了一个你没明白的知识点的时候,你无法顺着网线到另一端向老师问个明白。我努力通过独立思考和善用 Google 来缓解这一点,但是,如果能有几个志同道合的伙伴结伴自学,那将是极好的。关于交流群的建立,大家可以参考仓库 README 中的教程。

第二就是这些自学的课程基本都是英文的。从视频到slides到作业全是英文,所以有一定的门槛。不过我觉得这个挑战如果你克服了的话对你是极为有利的。因为在当下,虽然我很不情愿,但也不得不承认,在计算机领域,很多优质的文档、论坛、网站都是全英文的。养成英文阅读的习惯,在赤旗插遍世界之前,还是有一定好处的(狗头保命)。

第三,也是我觉得最困难的一点,就是自律。因为没有 DDL 有时候真的是一件可怕的事情,特别是随着学习的深入,国外的很多课程是相当虐的。你得有足够的驱动力强迫自己静下心来,阅读几十页的 Project Handout,理解上千行的代码框架,忍受数个小时的 debug 时光。而这一切,没有学分,没有绩点,没有老师,没有同学,只有一个信念 —— 你在变强。

这本书适合谁

正如我在前言里说的,任何有志于自学计算机的朋友都可以参考这本书。如果你已经有了一定的计算机基础,只是对某个特定的领域感兴趣,可以选择性地挑选你感兴趣的内容进行学习。当然,如果你是一个像我当年一样对计算机一无所知的小白,初入大学的校门,我希望这本书能成为你的攻略,让你花最少的时间掌握你所需要的知识和能力。某种程度上,这本书更像是一个根据我的体验来排序的课程搜索引擎,帮助大家足不出户,体验世界顶级名校的计算机优质课程。

当然,作为一个还未毕业的本科生,我深感自己没有能力也没有权利去宣扬一种学习方式,我只是希望这份资料能让那些同样有自学之心和毅力朋友可以少走些弯路,收获更丰富、更多样、更满足的学习体验。

特别鸣谢

在这里,我怀着崇敬之心真诚地感谢所有将课程资源无偿开源的各位教授们。这些课程倾注了他们数十年教学生涯的积淀和心血,他们却选择无私地让所有人享受到如此高质量的CS教育。没有他们,我的大学生活不会这样充实而快乐。很多教授在我给他们发了感谢邮件之后,甚至会回复上百字的长文,真的让我无比感动。他们也时刻激励着我,做一件事,就得用心做好,无论是科研,还是为人。

你也想加入到贡献者的行列

一个人的力量终究是有限的,这本书也是我在繁重的科研之余熬夜抽空写出来的,难免有不够完善之处。另外,由于个人做的是系统方向,很多课程侧重系统领域,对于数学、理论计算机、高级算法相关的内容则相对少些。如果有大佬想在其他领域分享自己的自学经历与资源,可以直接在项目中发起 Pull Request,也欢迎和我邮件联系(zhongyinmin@pku.edu.cn)。

关于交流群的建立

方法参见仓库的 README.md


最后更新: September 5, 2022
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\uff0c\u73af\u5883\u53d8\u91cf\uff0cAnaconda ... \u7ecf\u5178\u4e66\u7c4d\u63a8\u8350\uff1a\u770b\u8fc7 CSAPP \u8fd9\u672c\u4e66\u7684\u540c\u5b66\u4e00\u5b9a\u611f\u53f9\u597d\u4e66\u7684\u91cd\u8981\uff0c\u6211\u5c06\u5217\u4e3e\u63a8\u8350\u81ea\u5df1\u770b\u8fc7\u7684\u8ba1\u7b97\u673a\u9886\u57df\u7684\u5fc5\u770b\u597d\u4e66\u4e0e\u8d44\u6e90\u94fe\u63a5\u3002","title":"\u524d\u8a00"},{"location":"#cs61a","text":"\u5927\u4e00\u5165\u5b66\u65f6\u6211\u662f\u4e00\u4e2a\u5bf9\u8ba1\u7b97\u673a\u4e00\u65e0\u6240\u77e5\u7684\u5c0f\u767d\uff0c\u88c5\u4e86\u51e0\u5341\u4e2a G \u7684 Visual Studio \u5929\u5929\u548c OJ \u4f60\u6b7b\u6211\u6d3b\u3002\u51ed\u7740\u9ad8\u4e2d\u7684\u6570\u5b66\u5e95\u5b50\u6211\u6570\u5b66\u8bfe\u5b66\u5f97\u8fd8\u4e0d\u9519\uff0c\u4f46\u5728\u4e13\u4e1a\u8bfe\u4e0a\u5bf9\u7ade\u8d5b\u5927\u4f6c\u53ea\u6709\u4ef0\u671b\u3002\u63d0\u5230\u7f16\u7a0b\u6211\u53ea\u4f1a\u6253\u5f00\u90a3\u7b28\u91cd\u7684 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Pull Request\uff0c\u4e5f\u6b22\u8fce\u548c\u6211\u90ae\u4ef6\u8054\u7cfb\uff08 zhongyinmin@pku.edu.cn \uff09\u3002","title":"\u4f60\u4e5f\u60f3\u52a0\u5165\u5230\u8d21\u732e\u8005\u7684\u884c\u5217"},{"location":"#_8","text":"\u65b9\u6cd5\u53c2\u89c1\u4ed3\u5e93\u7684 README.md \u3002","title":"\u5173\u4e8e\u4ea4\u6d41\u7fa4\u7684\u5efa\u7acb"},{"location":"CS%E5%AD%A6%E4%B9%A0%E8%A7%84%E5%88%92/","text":"\u4e00\u4e2a\u4ec5\u4f9b\u53c2\u8003\u7684 CS \u5b66\u4e60\u89c4\u5212 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notes\uff0c\u81f3\u5c11\u4e8e\u6211\u800c\u8a00\uff0c\u5b83\u5e2e\u52a9\u6211\u6df1\u523b\u7406\u89e3\u4e86\u5fae\u79ef\u5206\u548c\u7ebf\u6027\u4ee3\u6570\u7684\u8bb8\u591a\u672c\u8d28\u3002\u987a\u9053\u518d\u5b89\u5229\u4e00\u4e2a\u6cb9\u7ba1\u6570\u5b66\u7f51\u7ea2 3Blue1Brown \uff0c\u4ed6\u7684\u9891\u9053\u6709\u5f88\u591a\u7528\u751f\u52a8\u5f62\u8c61\u7684\u52a8\u753b\u9610\u91ca\u6570\u5b66\u672c\u8d28\u5185\u6838\u7684\u89c6\u9891\uff0c\u517c\u5177\u6df1\u5ea6\u548c\u5e7f\u5ea6\uff0c\u8d28\u91cf\u975e\u5e38\u9ad8\u3002 \u4fe1\u606f\u8bba\u5165\u95e8 \u4f5c\u4e3a\u8ba1\u7b97\u673a\u7cfb\u7684\u5b66\u751f\uff0c\u53ca\u65e9\u4e86\u89e3\u4e00\u4e9b\u4fe1\u606f\u8bba\u7684\u57fa\u7840\u77e5\u8bc6\uff0c\u6211\u89c9\u5f97\u662f\u5927\u6709\u88e8\u76ca\u7684\u3002\u4f46\u5927\u591a\u4fe1\u606f\u8bba\u8bfe\u7a0b\u90fd\u9762\u5411\u9ad8\u5e74\u7ea7\u672c\u79d1\u751f\u751a\u81f3\u7814\u7a76\u751f\uff0c\u5bf9\u65b0\u624b\u6781\u4e0d\u53cb\u597d\u3002\u800c MIT \u7684 6.050J: Information theory and Entropy \u8fd9\u95e8\u8bfe\u6b63\u662f\u4e3a\u5927\u4e00\u65b0\u751f\u91cf\u8eab\u5b9a\u5236\u7684\uff0c\u51e0\u4e4e\u6ca1\u6709\u5148\u4fee\u8981\u6c42\uff0c\u6db5\u76d6\u4e86\u7f16\u7801\u3001\u538b\u7f29\u3001\u901a\u4fe1\u3001\u4fe1\u606f\u71b5\u7b49\u7b49\u5185\u5bb9\uff0c\u975e\u5e38\u6709\u8da3\u3002 \u6570\u5b66\u8fdb\u9636 \u79bb\u6563\u6570\u5b66\u4e0e\u6982\u7387\u8bba \u96c6\u5408\u8bba\u3001\u56fe\u8bba\u3001\u6982\u7387\u8bba\u7b49\u7b49\u662f\u7b97\u6cd5\u63a8\u5bfc\u4e0e\u8bc1\u660e\u7684\u91cd\u8981\u5de5\u5177\uff0c\u4e5f\u662f\u540e\u7eed\u9ad8\u9636\u6570\u5b66\u8bfe\u7a0b\u7684\u57fa\u7840\u3002\u4f46\u6211\u89c9\u5f97\u8fd9\u7c7b\u8bfe\u7a0b\u7684\u8bb2\u6388\u5f88\u5bb9\u6613\u843d\u5165\u7406\u8bba\u5316\u4e0e\u5f62\u5f0f\u5316\u7684\u7aa0\u81fc\uff0c\u8ba9\u8bfe\u5802\u6210\u4e3a\u5b9a\u7406\u7ed3\u8bba\u7684\u5806\u780c\uff0c\u800c\u65e0\u6cd5\u4f7f\u5b66\u751f\u6df1\u523b\u628a\u63e1\u7406\u8bba\u7684\u672c\u8d28\uff0c\u8fdb\u800c\u9020\u6210\u5b66\u4e86\u5c31\u80cc\uff0c\u8003\u4e86\u5c31\u5fd8\u7684\u602a\u5708\u3002\u5982\u679c\u80fd\u5728\u7406\u8bba\u6559\u5b66\u4e2d\u7a7f\u63d2\u7b97\u6cd5\u8fd0\u7528\u5b9e\u4f8b\uff0c\u5b66\u751f\u5728\u62d3\u5c55\u7b97\u6cd5\u77e5\u8bc6\u7684\u540c\u65f6\u4e5f\u80fd\u7aa5\u89c1\u7406\u8bba\u7684\u529b\u91cf\u548c\u9b45\u529b\u3002 UCB CS70 : discrete Math and probability theory \u548c UCB CS126 : Probability theory \u662f UC Berkeley \u7684\u6982\u7387\u8bba\u8bfe\u7a0b\uff0c\u524d\u8005\u8986\u76d6\u4e86\u79bb\u6563\u6570\u5b66\u548c\u6982\u7387\u8bba\u57fa\u7840\uff0c\u540e\u8005\u5219\u6d89\u53ca\u968f\u673a\u8fc7\u7a0b\u4ee5\u53ca\u6df1\u5165\u7684\u7406\u8bba\u5185\u5bb9\u3002\u4e24\u8005\u90fd\u975e\u5e38\u6ce8\u91cd\u7406\u8bba\u548c\u5b9e\u8df5\u7684\u7ed3\u5408\uff0c\u6709\u4e30\u5bcc\u7684\u7b97\u6cd5\u5b9e\u9645\u8fd0\u7528\u5b9e\u4f8b\uff0c\u540e\u8005\u8fd8\u6709\u5927\u91cf\u7684Python\u7f16\u7a0b\u4f5c\u4e1a\u6765\u8ba9\u5b66\u751f\u8fd0\u7528\u6982\u7387\u8bba\u7684\u77e5\u8bc6\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\u3002 \u6570\u503c\u5206\u6790 \u4f5c\u4e3a\u8ba1\u7b97\u673a\u7cfb\u7684\u5b66\u751f\uff0c\u57f9\u517b\u8ba1\u7b97\u601d\u7ef4\u662f\u5f88\u91cd\u8981\u7684\uff0c\u5b9e\u9645\u95ee\u9898\u7684\u5efa\u6a21\u3001\u79bb\u6563\u5316\uff0c\u8ba1\u7b97\u673a\u7684\u6a21\u62df\u3001\u5206\u6790\uff0c\u662f\u4e00\u9879\u5f88\u91cd\u8981\u7684\u80fd\u529b\u3002\u800c\u8fd9\u4e24\u5e74\u5f00\u59cb\u98ce\u9761\u7684\uff0c\u7531 MIT \u6253\u9020\u7684 Julia \u7f16\u7a0b\u8bed\u8a00\u4ee5\u5176 C \u4e00\u6837\u7684\u901f\u5ea6\u548c Python \u4e00\u6837\u53cb\u597d\u7684\u8bed\u6cd5\u5728\u6570\u503c\u8ba1\u7b97\u9886\u57df\u6709\u4e00\u7edf\u5929\u4e0b\u4e4b\u52bf\uff0cMIT \u7684\u8bb8\u591a\u6570\u5b66\u8bfe\u7a0b\u4e5f\u5f00\u59cb\u7528 Julia \u4f5c\u4e3a\u6559\u5b66\u5de5\u5177\uff0c\u628a\u8270\u6df1\u7684\u6570\u5b66\u7406\u8bba\u7528\u76f4\u89c2\u6e05\u6670\u7684\u4ee3\u7801\u5c55\u793a\u51fa\u6765\u3002 ComputationalThinking \u662f MIT \u5f00\u8bbe\u7684\u4e00\u95e8\u8ba1\u7b97\u601d\u7ef4\u5165\u95e8\u8bfe\uff0c\u6240\u6709\u8bfe\u7a0b\u5185\u5bb9\u5168\u90e8\u5f00\u6e90\uff0c\u53ef\u4ee5\u5728\u8bfe\u7a0b\u7f51\u7ad9\u76f4\u63a5\u8bbf\u95ee\u3002\u8fd9\u95e8\u8bfe\u5229\u7528 Julia \u7f16\u7a0b\u8bed\u8a00\uff0c\u5728\u56fe\u50cf\u5904\u7406\u3001\u793e\u4f1a\u79d1\u5b66\u4e0e\u6570\u636e\u79d1\u5b66\u3001\u6c14\u5019\u5b66\u5efa\u6a21\u4e09\u4e2a topic \u4e0b\u5e26\u9886\u5b66\u751f\u7406\u89e3\u7b97\u6cd5\u3001\u6570\u5b66\u5efa\u6a21\u3001\u6570\u636e\u5206\u6790\u3001\u4ea4\u4e92\u8bbe\u8ba1\u3001\u56fe\u4f8b\u5c55\u793a\uff0c\u8ba9\u5b66\u751f\u4f53\u9a8c\u8ba1\u7b97\u4e0e\u79d1\u5b66\u7684\u7f8e\u5999\u7ed3\u5408\u3002\u5185\u5bb9\u867d\u7136\u4e0d\u96be\uff0c\u4f46\u7ed9\u6211\u6700\u6df1\u523b\u7684\u611f\u53d7\u5c31\u662f\uff0c\u79d1\u5b66\u7684\u9b45\u529b\u5e76\u4e0d\u662f\u6545\u5f04\u7384\u865a\u7684\u8270\u6df1\u7406\u8bba\uff0c\u4e0d\u662f\u8bd8\u5c48\u8071\u7259\u7684\u672f\u8bed\u884c\u8bdd\uff0c\u800c\u662f\u7528\u76f4\u89c2\u751f\u52a8\u7684\u6848\u4f8b\uff0c\u7528\u7b80\u7ec3\u6df1\u523b\u7684\u8bed\u8a00\uff0c\u8ba9\u6bcf\u4e2a\u666e\u901a\u4eba\u90fd\u80fd\u7406\u89e3\u3002 \u4e0a\u5b8c\u4e0a\u9762\u7684\u4f53\u9a8c\u8bfe\u4e4b\u540e\uff0c\u5982\u679c\u610f\u72b9\u672a\u5c3d\u7684\u8bdd\uff0c\u4e0d\u59a8\u8bd5\u8bd5 MIT \u7684 18.330 : Introduction to numerical analysis \uff0c\u8fd9\u95e8\u8bfe\u7684\u7f16\u7a0b\u4f5c\u4e1a\u540c\u6837\u4f1a\u7528 Julia \u7f16\u7a0b\u8bed\u8a00\uff0c\u4e0d\u8fc7\u96be\u5ea6\u548c\u6df1\u5ea6\u4e0a\u90fd\u4e0a\u4e86\u4e00\u4e2a\u53f0\u9636\u3002\u5185\u5bb9\u6d89\u53ca\u4e86\u6d6e\u70b9\u7f16\u7801\u3001Root finding\u3001\u7ebf\u6027\u7cfb\u7edf\u3001\u5fae\u5206\u65b9\u7a0b\u7b49\u7b49\u65b9\u9762\uff0c\u6574\u95e8\u8bfe\u7684\u4e3b\u65e8\u5c31\u662f\u8ba9\u4f60\u5229\u7528\u79bb\u6563\u5316\u7684\u8ba1\u7b97\u673a\u8868\u793a\u53bb\u4f30\u8ba1\u548c\u903c\u8fd1\u4e00\u4e2a\u6570\u5b66\u4e0a\u8fde\u7eed\u7684\u6982\u5ff5\u3002\u8fd9\u95e8\u8bfe\u7684\u6559\u6388\u8fd8\u4e13\u95e8\u64b0\u5199\u4e86\u4e00\u672c\u914d\u5957\u7684\u5f00\u6e90\u6559\u6750 Fundamentals of Numerical Computation \uff0c\u91cc\u9762\u9644\u6709\u4e30\u5bcc\u7684 Julia \u4ee3\u7801\u5b9e\u4f8b\u548c\u4e25\u8c28\u7684\u516c\u5f0f\u63a8\u5bfc\u3002 \u5982\u679c\u4f60\u8fd8\u610f\u72b9\u672a\u5c3d\u7684\u8bdd\uff0c\u8fd8\u6709 MIT \u7684\u7814\u7a76\u751f\u8bfe\u7a0b 18.335: Introduction to numerical method \u4f9b\u4f60\u53c2\u8003\u3002 \u5fae\u5206\u65b9\u7a0b \u5982\u679c\u4e16\u95f4\u4e07\u7269\u7684\u8fd0\u52a8\u53d1\u5c55\u90fd\u80fd\u7528\u65b9\u7a0b\u6765\u523b\u753b\u548c\u63cf\u8ff0\uff0c\u8fd9\u662f\u4e00\u4ef6\u591a\u4e48\u9177\u7684\u4e8b\u60c5\u5440\uff01\u867d\u7136\u51e0\u4e4e\u4efb\u4f55\u4e00\u6240\u5b66\u6821\u7684 CS \u57f9\u517b\u65b9\u6848\u4e2d\u90fd\u6ca1\u6709\u5fae\u5206\u65b9\u7a0b\u76f8\u5173\u7684\u5fc5\u4fee\u8bfe\u7a0b\uff0c\u4f46\u6211\u8fd8\u662f\u89c9\u5f97\u638c\u63e1\u5b83\u4f1a\u8d4b\u4e88\u4f60\u4e00\u4e2a\u65b0\u7684\u89c6\u89d2\u6765\u5ba1\u89c6\u8fd9\u4e2a\u4e16\u754c\u3002 \u7531\u4e8e\u5fae\u5206\u65b9\u7a0b\u4e2d\u5f80\u5f80\u4f1a\u7528\u5230\u5f88\u591a\u590d\u53d8\u51fd\u6570\u7684\u77e5\u8bc6\uff0c\u6240\u4ee5\u5927\u5bb6\u53ef\u4ee5\u53c2\u8003 MIT18.04: Complex variables functions \u7684\u8bfe\u7a0b notes \u6765\u8865\u9f50\u5148\u4fee\u77e5\u8bc6\u3002 MIT18.03: differential equations ) \u4e3b\u8981\u8986\u76d6\u4e86\u5e38\u5fae\u5206\u65b9\u7a0b\u7684\u6c42\u89e3\uff0c\u5728\u6b64\u57fa\u7840\u4e4b\u4e0a MIT18.152: Partial differential equations ) \u5219\u4f1a\u6df1\u5165\u504f\u5fae\u5206\u65b9\u7a0b\u7684\u5efa\u6a21\u4e0e\u6c42\u89e3\u3002\u638c\u63e1\u4e86\u5fae\u5206\u65b9\u7a0b\u8fd9\u4e00\u6709\u5229\u5de5\u5177\uff0c\u76f8\u4fe1\u5bf9\u4e8e\u4f60\u7684\u5b9e\u9645\u95ee\u9898\u7684\u5efa\u6a21\u80fd\u529b\u4ee5\u53ca\u4ece\u4f17\u591a\u566a\u58f0\u53d8\u91cf\u4e2d\u628a\u63e1\u672c\u8d28\u7684\u76f4\u89c9\u90fd\u4f1a\u6709\u5f88\u5927\u5e2e\u52a9\u3002 \u6570\u5b66\u9ad8\u9636 \u4f5c\u4e3a\u8ba1\u7b97\u673a\u7cfb\u7684\u5b66\u751f\uff0c\u6211\u7ecf\u5e38\u542c\u5230\u6570\u5b66\u65e0\u7528\u8bba\u7684\u8bba\u65ad\uff0c\u5bf9\u6b64\u6211\u4e0d\u6562\u82df\u540c\u4f46\u4e5f\u65e0\u6743\u53cd\u5bf9\uff0c\u4f46\u82e5\u51e1\u4e8b\u90fd\u786c\u8981\u4e89\u51fa\u4e2a\u6709\u7528\u548c\u65e0\u7528\u7684\u533a\u522b\u6765\uff0c\u5012\u4e5f\u7740\u5b9e\u65e0\u8da3\uff0c\u56e0\u6b64\u4e0b\u9762\u8fd9\u4e9b\u9762\u5411\u9ad8\u5e74\u7ea7\u751a\u81f3\u7814\u7a76\u751f\u7684\u6570\u5b66\u8bfe\u7a0b\uff0c\u5927\u5bb6\u6309\u5174\u8da3\u81ea\u53d6\u6240\u9700\u3002 \u51f8\u4f18\u5316 Standford EE364A: Convex Optimization \u4fe1\u606f\u8bba MIT6.441: Information Theory \u5e94\u7528\u7edf\u8ba1\u5b66 MIT18.650: Statistics for Applications \u521d\u7b49\u6570\u8bba MIT18.781: Theory of Numbers \u5bc6\u7801\u5b66 Standford CS255: Cryptography \u7f16\u7a0b\u5165\u95e8 Languages are tools, you choose the right tool to do the right thing. Since there's no universally perfect tool, there's no universally perfect language. Shell MIT-Missing-Semester Python Harvard CS50: This is CS50x \u6700\u597d\u7684\u8ba1\u7b97\u673a\u57fa\u7840\u5165\u95e8\u8bfe\uff0c\u4f60\u7edd\u5bf9\u4f1a\u7231\u4e0a\u7684\u3002 UCB CS61A: Structure and Interpretation of Computer Programs C++ Stanford CS106B/X: Programming Abstractions Stanford CS106L: Standard C++ Programming Rust Stanford CS110L: Safety in Systems Programming OCaml Cornell CS3110 textbook: Functional Programming in OCaml \u7535\u5b50\u57fa\u7840 \u7535\u8def\u57fa\u7840 \u4f5c\u4e3a\u8ba1\u7b97\u673a\u7cfb\u7684\u5b66\u751f\uff0c\u4e86\u89e3\u4e00\u4e9b\u57fa\u7840\u7684\u7535\u8def\u77e5\u8bc6\uff0c\u611f\u53d7\u4ece\u4f20\u611f\u5668\u6536\u96c6\u6570\u636e\u5230\u6570\u636e\u5206\u6790\u518d\u5230\u7b97\u6cd5\u9884\u6d4b\u6574\u6761\u6d41\u6c34\u7ebf\uff0c\u5bf9\u4e8e\u540e\u7eed\u77e5\u8bc6\u7684\u5b66\u4e60\u4ee5\u53ca\u8ba1\u7b97\u601d\u7ef4\u7684\u57f9\u517b\u8fd8\u662f\u5f88\u6709\u5e2e\u52a9\u7684\u3002 EE16A&B: Designing Information Devices and Systems I&II \u662f\u4f2f\u514b\u5229 EE \u5b66\u751f\u7684\u5927\u4e00\u5165\u95e8\u8bfe\uff0c\u5176\u4e2d EE16A \u6ce8\u91cd\u901a\u8fc7\u7535\u8def\u4ece\u5b9e\u9645\u73af\u5883\u4e2d\u6536\u96c6\u548c\u5206\u6790\u6570\u636e\uff0c\u800c EE16B \u5219\u4fa7\u91cd\u4ece\u8fd9\u4e9b\u6536\u96c6\u5230\u7684\u6570\u636e\u8fdb\u884c\u5206\u6790\u5e76\u505a\u51fa\u9884\u6d4b\u884c\u4e3a\u3002 \u4fe1\u53f7\u4e0e\u7cfb\u7edf \u4fe1\u53f7\u4e0e\u7cfb\u7edf\u662f\u4e00\u95e8\u6211\u89c9\u5f97\u975e\u5e38\u503c\u5f97\u4e00\u4e0a\u7684\u8bfe\uff0c\u6700\u521d\u5b66\u5b83\u53ea\u662f\u4e3a\u4e86\u6ee1\u8db3\u6211\u5bf9\u5085\u91cc\u53f6\u53d8\u6362\u7684\u597d\u5947\uff0c\u4f46\u5b66\u5b8c\u4e4b\u540e\u6211\u624d\u4e0d\u7981\u611f\u53f9\uff0c\u5085\u7acb\u53f6\u53d8\u6362\u7ed9\u6211\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5168\u65b0\u7684\u89c6\u89d2\u53bb\u770b\u5f85\u8fd9\u4e2a\u4e16\u754c\uff0c\u5c31\u5982\u540c\u5fae\u5206\u65b9\u7a0b\u4e00\u6837\uff0c\u8ba9\u4f60\u6c89\u6d78\u5728\u7528\u6570\u5b66\u53bb\u7cbe\u786e\u63cf\u7ed8\u548c\u523b\u753b\u8fd9\u4e2a\u4e16\u754c\u7684\u4f18\u96c5\u4e0e\u795e\u5947\u4e4b\u4e2d\u3002 MIT 6.003: signal and systems \u63d0\u4f9b\u4e86\u5168\u90e8\u7684\u8bfe\u7a0b\u5f55\u5f71\u3001\u4e66\u9762\u4f5c\u4e1a\u4ee5\u53ca\u7b54\u6848\u3002\u4e5f\u53ef\u4ee5\u53bb\u770b\u8fd9\u95e8\u8bfe\u7684 \u8fdc\u53e4\u7248\u672c \u800c UCB EE120: Signal and Systems \u5173\u4e8e\u5085\u7acb\u53f6\u53d8\u6362\u7684 notes \u5199\u5f97\u975e\u5e38\u597d\uff0c\u5e76\u4e14\u63d0\u4f9b\u4e866 \u4e2a\u975e\u5e38\u6709\u8da3\u7684 Python \u7f16\u7a0b\u4f5c\u4e1a\uff0c\u8ba9\u4f60\u5b9e\u8df5\u4e2d\u8fd0\u7528\u4fe1\u53f7\u4e0e\u7cfb\u7edf\u7684\u7406\u8bba\u4e0e\u7b97\u6cd5\u3002 \u6570\u636e\u7ed3\u6784\u4e0e\u7b97\u6cd5 \u6570\u636e\u7ed3\u6784\u4e0e\u7b97\u6cd5 UCB CS61B: Data Structures and Algorithms Coursera: Algorithms I & II \u7b97\u6cd5\u8bbe\u8ba1\u4e0e\u5206\u6790 UCB CS170: Efficient Algorithms and Intractable Problems \u8f6f\u4ef6\u5de5\u7a0b \u5165\u95e8\u8bfe \u4e00\u4efd\u201c\u80fd\u8dd1\u201d\u7684\u4ee3\u7801\uff0c\u548c\u4e00\u4efd\u9ad8\u8d28\u91cf\u7684\u5de5\u4e1a\u7ea7\u4ee3\u7801\u662f\u6709\u672c\u8d28\u533a\u522b\u7684\u3002\u56e0\u6b64\u6211\u975e\u5e38\u63a8\u8350\u4f4e\u5e74\u7ea7\u7684\u540c\u5b66\u5b66\u4e60\u4e00\u4e0b MIT 6.031: Software Construction \u8fd9\u95e8\u8bfe\uff0c\u5b83\u4f1a\u4ee5 Java \u8bed\u8a00\u4e3a\u57fa\u7840\uff0c\u4ee5\u4e30\u5bcc\u7ec6\u81f4\u7684\u9605\u8bfb\u6750\u6599\u548c\u7cbe\u5fc3\u8bbe\u8ba1\u7684\u7f16\u7a0b\u7ec3\u4e60\u4f20\u6388\u5982\u4f55\u7f16\u5199 \u4e0d\u6613\u51fa bug\u3001\u7b80\u660e\u6613\u61c2\u3001\u6613\u4e8e\u7ef4\u62a4\u4fee\u6539 \u7684\u9ad8\u8d28\u91cf\u4ee3\u7801\u3002\u5927\u5230\u5b8f\u89c2\u6570\u636e\u7ed3\u6784\u8bbe\u8ba1\uff0c\u5c0f\u5230\u5982\u4f55\u5199\u6ce8\u91ca\uff0c\u9075\u5faa\u8fd9\u4e9b\u524d\u4eba\u603b\u7ed3\u7684\u7ec6\u8282\u548c\u7ecf\u9a8c\uff0c\u5bf9\u4e8e\u4f60\u6b64\u540e\u7684\u7f16\u7a0b\u751f\u6daf\u5927\u6709\u88e8\u76ca\u3002 \u4e13\u4e1a\u8bfe \u5f53\u7136\uff0c\u5982\u679c\u4f60\u60f3\u7cfb\u7edf\u6027\u5730\u4e0a\u4e00\u95e8\u8f6f\u4ef6\u5de5\u7a0b\u7684\u8bfe\u7a0b\uff0c\u90a3\u6211\u63a8\u8350\u7684\u662f\u4f2f\u514b\u5229\u7684 UCB CS169: software engineering \u3002\u4f46\u9700\u8981\u63d0\u9192\u7684\u662f\uff0c\u548c\u5927\u591a\u5b66\u6821\uff08\u5305\u62ec\u8d35\u6821\uff09\u7684\u8f6f\u4ef6\u5de5\u7a0b\u8bfe\u7a0b\u4e0d\u540c\uff0c\u8fd9\u95e8\u8bfe\u4e0d\u4f1a\u6d89\u53ca\u4f20\u7edf\u7684 design and document \u6a21\u5f0f\uff0c\u5373\u5f3a\u8c03\u5404\u79cd\u7c7b\u56fe\u3001\u6d41\u7a0b\u56fe\u53ca\u6587\u6863\u8bbe\u8ba1\uff0c\u800c\u662f\u91c7\u7528\u8fd1\u4e9b\u5e74\u6d41\u884c\u8d77\u6765\u7684\u5c0f\u56e2\u961f\u5feb\u901f\u8fed\u4ee3 Agile Develepment \u5f00\u53d1\u6a21\u5f0f\u4ee5\u53ca\u5229\u7528\u4e91\u5e73\u53f0\u7684 Software as a service \u670d\u52a1\u6a21\u5f0f\u3002 \u4f53\u7cfb\u7ed3\u6784 \u5165\u95e8\u8bfe \u4ece\u5c0f\u6211\u5c31\u4e00\u76f4\u542c\u8bf4\uff0c\u8ba1\u7b97\u673a\u7684\u4e16\u754c\u662f\u7531 01 \u6784\u6210\u7684\uff0c\u6211\u4e0d\u7406\u89e3\u4f46\u5927\u53d7\u9707\u64bc\u3002\u5982\u679c\u4f60\u7684\u5185\u5fc3\u4e5f\u6000\u6709\u8fd9\u4efd\u597d\u5947\uff0c\u4e0d\u59a8\u82b1\u4e00\u5230\u4e24\u4e2a\u6708\u7684\u65f6\u95f4\u5b66\u4e60 Coursera: Nand2Tetris \u8fd9\u95e8\u65e0\u95e8\u69db\u7684\u8ba1\u7b97\u673a\u8bfe\u7a0b\u3002\u8fd9\u95e8\u9ebb\u96c0\u867d\u5c0f\u4e94\u810f\u4ff1\u5168\u7684\u8bfe\u7a0b\u4f1a\u4ece 01 \u5f00\u59cb\u8ba9\u4f60\u4eb2\u624b\u9020\u51fa\u4e00\u53f0\u8ba1\u7b97\u673a\uff0c\u5e76\u5728\u4e0a\u9762\u8fd0\u884c\u4fc4\u7f57\u65af\u65b9\u5757\u5c0f\u6e38\u620f\u3002\u4e00\u95e8\u8bfe\u91cc\u6db5\u76d6\u4e86\u7f16\u8bd1\u3001\u865a\u62df\u673a\u3001\u6c47\u7f16\u3001\u4f53\u7cfb\u7ed3\u6784\u3001\u6570\u5b57\u7535\u8def\u3001\u903b\u8f91\u95e8\u7b49\u7b49\u4ece\u4e0a\u81f3\u4e0b\u3001\u4ece\u8f6f\u81f3\u786c\u7684\u5404\u7c7b\u77e5\u8bc6\uff0c\u975e\u5e38\u5168\u9762\u3002\u96be\u5ea6\u4e0a\u4e5f\u662f\u901a\u8fc7\u7cbe\u5fc3\u7684\u8bbe\u8ba1\uff0c\u7565\u53bb\u4e86\u4f17\u591a\u73b0\u4ee3\u8ba1\u7b97\u673a\u590d\u6742\u7684\u7ec6\u8282\uff0c\u63d0\u53d6\u51fa\u4e86\u6700\u6838\u5fc3\u672c\u8d28\u7684\u4e1c\u897f\uff0c\u529b\u56fe\u8ba9\u6bcf\u4e2a\u4eba\u90fd\u80fd\u7406\u89e3\u3002\u5728\u4f4e\u5e74\u7ea7\uff0c\u5982\u679c\u5c31\u80fd\u4ece\u5b8f\u89c2\u4e0a\u5efa\u7acb\u5bf9\u6574\u4e2a\u8ba1\u7b97\u673a\u4f53\u7cfb\u7684\u9e1f\u77b0\u56fe\uff0c\u662f\u5927\u6709\u88e8\u76ca\u7684\u3002 \u4e13\u4e1a\u8bfe \u5f53\u7136\uff0c\u5982\u679c\u60f3\u6df1\u5165\u73b0\u4ee3\u8ba1\u7b97\u673a\u4f53\u7cfb\u7ed3\u6784\u7684\u590d\u6742\u7ec6\u8282\uff0c\u8fd8\u5f97\u4e0a\u4e00\u95e8\u5927\u5b66\u672c\u79d1\u96be\u5ea6\u7684\u8bfe\u7a0b UCB CS61C: Great Ideas in Computer Architecture \u3002UC Berkeley \u4f5c\u4e3a RISC-V \u67b6\u6784\u7684\u53d1\u6e90\u5730\uff0c\u5728\u4f53\u7cfb\u7ed3\u6784\u9886\u57df\u7b97\u5f97\u4e0a\u9996\u5c48\u4e00\u6307\u3002\u5176\u8bfe\u7a0b\u975e\u5e38\u6ce8\u91cd\u5b9e\u8df5\uff0c\u4f60\u4f1a\u5728 Project \u4e2d\u624b\u5199\u6c47\u7f16\u6784\u9020\u795e\u7ecf\u7f51\u7edc\uff0c\u4ece\u96f6\u5f00\u59cb\u642d\u5efa\u4e00\u4e2a CPU\uff0c\u8fd9\u4e9b\u5b9e\u8df5\u90fd\u4f1a\u8ba9\u4f60\u5bf9\u8ba1\u7b97\u673a\u4f53\u7cfb\u7ed3\u6784\u6709\u66f4\u4e3a\u6df1\u5165\u7684\u7406\u89e3\uff0c\u800c\u4e0d\u662f\u4ec5\u505c\u7559\u4e8e\u201c\u53d6\u6307\u8bd1\u7801\u6267\u884c\u8bbf\u5b58\u5199\u56de\u201d\u7684\u5355\u8c03\u80cc\u8bf5\u91cc\u3002 \u7cfb\u7edf\u5165\u95e8 \u8ba1\u7b97\u673a\u7cfb\u7edf\u662f\u4e00\u4e2a\u5e9e\u6742\u800c\u6df1\u523b\u7684\u4e3b\u9898\uff0c\u5728\u6df1\u5165\u5b66\u4e60\u67d0\u4e2a\u7ec6\u5206\u9886\u57df\u4e4b\u524d\uff0c\u5bf9\u5404\u4e2a\u9886\u57df\u6709\u4e00\u4e2a\u5b8f\u89c2\u6982\u5ff5\u6027\u7684\u7406\u89e3\uff0c\u5bf9\u4e00\u4e9b\u901a\u7528\u6027\u7684\u8bbe\u8ba1\u539f\u5219\u6709\u6240\u77e5\u6653\uff0c\u4f1a\u8ba9\u4f60\u5728\u4e4b\u540e\u7684\u6df1\u5165\u5b66\u4e60\u4e2d\u4e0d\u65ad\u5f3a\u5316\u4e00\u4e9b\u6700\u4e3a\u6838\u5fc3\u4e43\u81f3\u54f2\u5b66\u7684\u6982\u5ff5\uff0c\u800c\u4e0d\u4f1a\u684e\u688f\u4e8e\u590d\u6742\u7684\u5185\u90e8\u7ec6\u8282\u548c\u5404\u79cd trick\u3002\u56e0\u4e3a\u5728\u6211\u770b\u6765\uff0c\u5b66\u4e60\u7cfb\u7edf\u6700\u5173\u952e\u7684\u8fd8\u662f\u60f3\u8ba9\u4f60\u9886\u609f\u5230\u8fd9\u4e9b\u6700\u6838\u5fc3\u7684\u4e1c\u897f\uff0c\u4ece\u800c\u80fd\u591f\u8bbe\u8ba1\u548c\u5b9e\u73b0\u51fa\u5c5e\u4e8e\u81ea\u5df1\u7684\u7cfb\u7edf\u3002 MIT6.033: System Engineering \u662f MIT \u7684\u7cfb\u7edf\u5165\u95e8\u8bfe\uff0c\u4e3b\u9898\u6d89\u53ca\u4e86\u64cd\u4f5c\u7cfb\u7edf\u3001\u7f51\u7edc\u3001\u5206\u5e03\u5f0f\u548c\u7cfb\u7edf\u5b89\u5168\uff0c\u9664\u4e86\u77e5\u8bc6\u70b9\u7684\u4f20\u6388\u5916\uff0c\u8fd9\u95e8\u8bfe\u8fd8\u4f1a\u8bb2\u6388\u4e00\u4e9b\u5199\u4f5c\u548c\u8868\u8fbe\u4e0a\u7684\u6280\u5de7\uff0c\u8ba9\u4f60\u5b66\u4f1a\u5982\u4f55\u8bbe\u8ba1\u5e76\u5411\u522b\u4eba\u4ecb\u7ecd\u548c\u5206\u6790\u81ea\u5df1\u7684\u7cfb\u7edf\u3002\u8fd9\u672c\u4e66\u914d\u5957\u7684\u6559\u6750 Principles of Computer System Design: An Introduction \u4e5f\u5199\u5f97\u975e\u5e38\u597d\uff0c\u63a8\u8350\u5927\u5bb6\u9605\u8bfb\u3002 CMU 15-213: Introduction to Computer System \u662f CMU \u7684\u7cfb\u7edf\u5165\u95e8\u8bfe\uff0c\u5185\u5bb9\u8986\u76d6\u4e86\u4f53\u7cfb\u7ed3\u6784\u3001\u64cd\u4f5c\u7cfb\u7edf\u3001\u94fe\u63a5\u3001\u5e76\u884c\u3001\u7f51\u7edc\u7b49\u7b49\uff0c\u517c\u5177\u5e7f\u5ea6\u548c\u6df1\u5ea6\uff0c\u914d\u5957\u7684\u6559\u6750 Computer Systems: A Programmer's Perspective \u4e5f\u662f\u8d28\u91cf\u6781\u9ad8\uff0c\u5f3a\u70c8\u5efa\u8bae\u9605\u8bfb\u3002 \u64cd\u4f5c\u7cfb\u7edf 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\uff0c\u8fd9\u95e8\u8bfe\u7684\u7f16\u7a0b\u4f5c\u4e1a\u540c\u6837\u4f1a\u7528 Julia \u7f16\u7a0b\u8bed\u8a00\uff0c\u4e0d\u8fc7\u96be\u5ea6\u548c\u6df1\u5ea6\u4e0a\u90fd\u4e0a\u4e86\u4e00\u4e2a\u53f0\u9636\u3002\u5185\u5bb9\u6d89\u53ca\u4e86\u6d6e\u70b9\u7f16\u7801\u3001Root finding\u3001\u7ebf\u6027\u7cfb\u7edf\u3001\u5fae\u5206\u65b9\u7a0b\u7b49\u7b49\u65b9\u9762\uff0c\u6574\u95e8\u8bfe\u7684\u4e3b\u65e8\u5c31\u662f\u8ba9\u4f60\u5229\u7528\u79bb\u6563\u5316\u7684\u8ba1\u7b97\u673a\u8868\u793a\u53bb\u4f30\u8ba1\u548c\u903c\u8fd1\u4e00\u4e2a\u6570\u5b66\u4e0a\u8fde\u7eed\u7684\u6982\u5ff5\u3002\u8fd9\u95e8\u8bfe\u7684\u6559\u6388\u8fd8\u4e13\u95e8\u64b0\u5199\u4e86\u4e00\u672c\u914d\u5957\u7684\u5f00\u6e90\u6559\u6750 Fundamentals of Numerical Computation \uff0c\u91cc\u9762\u9644\u6709\u4e30\u5bcc\u7684 Julia \u4ee3\u7801\u5b9e\u4f8b\u548c\u4e25\u8c28\u7684\u516c\u5f0f\u63a8\u5bfc\u3002 \u5982\u679c\u4f60\u8fd8\u610f\u72b9\u672a\u5c3d\u7684\u8bdd\uff0c\u8fd8\u6709 MIT 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Since there's no universally perfect tool, there's no universally perfect language.","title":"\u7f16\u7a0b\u5165\u95e8"},{"location":"CS%E5%AD%A6%E4%B9%A0%E8%A7%84%E5%88%92/#shell","text":"MIT-Missing-Semester","title":"Shell"},{"location":"CS%E5%AD%A6%E4%B9%A0%E8%A7%84%E5%88%92/#python","text":"Harvard CS50: This is CS50x \u6700\u597d\u7684\u8ba1\u7b97\u673a\u57fa\u7840\u5165\u95e8\u8bfe\uff0c\u4f60\u7edd\u5bf9\u4f1a\u7231\u4e0a\u7684\u3002 UCB CS61A: Structure and Interpretation of Computer Programs","title":"Python"},{"location":"CS%E5%AD%A6%E4%B9%A0%E8%A7%84%E5%88%92/#c","text":"Stanford CS106B/X: Programming Abstractions Stanford CS106L: Standard C++ Programming","title":"C++"},{"location":"CS%E5%AD%A6%E4%B9%A0%E8%A7%84%E5%88%92/#rust","text":"Stanford CS110L: Safety in Systems Programming","title":"Rust"},{"location":"CS%E5%AD%A6%E4%B9%A0%E8%A7%84%E5%88%92/#ocaml","text":"Cornell CS3110 textbook: Functional Programming in OCaml","title":"OCaml"},{"location":"CS%E5%AD%A6%E4%B9%A0%E8%A7%84%E5%88%92/#_19","text":"","title":"\u7535\u5b50\u57fa\u7840"},{"location":"CS%E5%AD%A6%E4%B9%A0%E8%A7%84%E5%88%92/#_20","text":"\u4f5c\u4e3a\u8ba1\u7b97\u673a\u7cfb\u7684\u5b66\u751f\uff0c\u4e86\u89e3\u4e00\u4e9b\u57fa\u7840\u7684\u7535\u8def\u77e5\u8bc6\uff0c\u611f\u53d7\u4ece\u4f20\u611f\u5668\u6536\u96c6\u6570\u636e\u5230\u6570\u636e\u5206\u6790\u518d\u5230\u7b97\u6cd5\u9884\u6d4b\u6574\u6761\u6d41\u6c34\u7ebf\uff0c\u5bf9\u4e8e\u540e\u7eed\u77e5\u8bc6\u7684\u5b66\u4e60\u4ee5\u53ca\u8ba1\u7b97\u601d\u7ef4\u7684\u57f9\u517b\u8fd8\u662f\u5f88\u6709\u5e2e\u52a9\u7684\u3002 EE16A&B: Designing Information Devices and Systems I&II \u662f\u4f2f\u514b\u5229 EE \u5b66\u751f\u7684\u5927\u4e00\u5165\u95e8\u8bfe\uff0c\u5176\u4e2d EE16A \u6ce8\u91cd\u901a\u8fc7\u7535\u8def\u4ece\u5b9e\u9645\u73af\u5883\u4e2d\u6536\u96c6\u548c\u5206\u6790\u6570\u636e\uff0c\u800c EE16B 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construction.","title":"\u57f9\u517b\u65b9\u6848Pro"},{"location":"%E5%A5%BD%E4%B9%A6%E6%8E%A8%E8%8D%90/","text":"\u597d\u4e66\u63a8\u8350 \u7531\u4e8e\u7248\u6743\u539f\u56e0\uff0c\u4e0b\u9762\u5217\u4e3e\u7684\u56fe\u4e66\u4e2d\u9664\u4e86\u5f00\u6e90\u8d44\u6e90\u63d0\u4f9b\u4e86\u94fe\u63a5\uff0c\u5176\u4ed6\u7684\u8d44\u6e90\u8bf7\u5927\u5bb6\u81ea\u884c\u901a\u8fc7 libgen \u6216 z-lib \u67e5\u627e\u3002 \u8d44\u6e90\u6c47\u603b Free Programming Books : \u5f00\u6e90\u7f16\u7a0b\u4e66\u7c4d\u8d44\u6e90\u6c47\u603b CS Textbook Recommendations : \u8ba1\u7b97\u673a\u79d1\u5b66\u65b9\u5411\u63a8\u8350\u6559\u6750\u5217\u8868 C Book Guide and List : C\u8bed\u8a00\u76f8\u5173\u7684\u7f16\u7a0b\u4e66\u7c4d\u63a8\u8350\u5217\u8868 C++ Book Guide and List : C++\u8bed\u8a00\u76f8\u5173\u7684\u7f16\u7a0b\u4e66\u7c4d\u63a8\u8350\u5217\u8868 Python Book Guide and List : Python\u8bed\u8a00\u76f8\u5173\u7684\u7f16\u7a0b\u4e66\u7c4d\u63a8\u8350\u5217\u8868 \u7cfb\u7edf\u5165\u95e8 Computer Systems: A Programmer's Perspective [ \u8c46\u74e3 ] Principles of Computer System Design: An Introduction [ \u8c46\u74e3 ] \u64cd\u4f5c\u7cfb\u7edf \u73b0\u4ee3\u64cd\u4f5c\u7cfb\u7edf: \u539f\u7406\u4e0e\u5b9e\u73b0 [ \u8c46\u74e3 ] Operating Systems: Three Easy Pieces [ \u8c46\u74e3 ] Modern Operating Systems [ \u8c46\u74e3 ] Operating Systems: Principles and Practice [ \u8c46\u74e3 ] \u8ba1\u7b97\u673a\u7f51\u7edc Computer Networks: A Systems Approach [ \u8c46\u74e3 ] Computer Networking: A Top-Down Approach [ \u8c46\u74e3 ] \u5206\u5e03\u5f0f\u7cfb\u7edf Patterns of Distributed System (Blog) Distributed Systems for Fun and Profit (Blog) Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems [ \u8c46\u74e3 ] \u6570\u636e\u5e93\u7cfb\u7edf Architecture of a Database System [ \u8c46\u74e3 ] Readings in Database Systems [ \u8c46\u74e3 ] Database System Concepts [ \u8c46\u74e3 ] \u7f16\u8bd1\u539f\u7406 Engineering a Compiler [ \u8c46\u74e3 ] Compilers: Principles, Techniques, and Tools [ \u8c46\u74e3 ] \u8ba1\u7b97\u673a\u7f16\u7a0b\u8bed\u8a00 \u8ba1\u7b97\u673a\u7a0b\u5e8f\u7684\u6784\u9020\u548c\u89e3\u91ca [ \u8c46\u74e3 ] Essentials of Programming Languages [ \u8c46\u74e3 ] Practical Foundations for Programming Languages [ \u8c46\u74e3 ] Software Foundations [ \u8c46\u74e3 ] [ \u5317\u5927\u76f8\u5173\u8bfe\u7a0b ] Types and Programming Languages [ \u8c46\u74e3 ] [ \u5317\u5927\u76f8\u5173\u8bfe\u7a0b ] \u4f53\u7cfb\u7ed3\u6784 \u8d85\u6807\u91cf\u5904\u7406\u5668\u8bbe\u8ba1: Superscalar RISC Processor Design [ \u8c46\u74e3 ] Computer Organization and Design RISC-V Edition [ \u8c46\u74e3 ] Computer Organization and Design: The Hardware/Software Interface [ \u8c46\u74e3 ] Computer Architecture: A Quantitative Approach [ \u8c46\u74e3 ] \u7406\u8bba\u8ba1\u7b97\u673a\u79d1\u5b66 Introduction to the Theory of Computation [ \u8c46\u74e3 ] \u5bc6\u7801\u5b66 Cryptography Engineering: Design Principles and Practical Applications [ \u8c46\u74e3 ] Introduction to Modern Cryptography [ \u8c46\u74e3 ] \u9006\u5411\u5de5\u7a0b \u9006\u5411\u5de5\u7a0b\u6838\u5fc3\u539f\u7406 [ \u8c46\u74e3 ] \u52a0\u5bc6\u4e0e\u89e3\u5bc6 [ \u8c46\u74e3 ] \u8ba1\u7b97\u673a\u56fe\u5f62\u5b66 Monte Carlo theory, methods and examples Advanced Global Illumination [ \u8c46\u74e3 ] Fundamentals of Computer Graphics [ \u8c46\u74e3 ] Fluid Simulation for Computer Graphics [ \u8c46\u74e3 ] Physically Based Rendering: From Theory To Implementation [ \u8c46\u74e3 ] Real-Time Rendering [ \u8c46\u74e3 ] \u6e38\u620f\u5f15\u64ce \u6e38\u620f\u7f16\u7a0b\u6a21\u5f0f: Game Programming Patterns [ \u8c46\u74e3 ] \u5b9e\u65f6\u78b0\u649e\u68c0\u6d4b\u7b97\u6cd5\u6280\u672f [ \u8c46\u74e3 ] Game AI Pro Series [ \u8c46\u74e3 ] Artificial Intelligence for Games [ \u8c46\u74e3 ] Game Engine Architecture [ \u8c46\u74e3 ] Game Programming Gems Series [ \u8c46\u74e3 ] \u8f6f\u4ef6\u5de5\u7a0b Software Engineering at Google [ \u8c46\u74e3 ] \u8bbe\u8ba1\u6a21\u5f0f \u8bbe\u8ba1\u6a21\u5f0f: \u53ef\u590d\u7528\u9762\u5411\u5bf9\u8c61\u8f6f\u4ef6\u7684\u57fa\u7840 [ \u8c46\u74e3 ] \u5927\u8bdd\u8bbe\u8ba1\u6a21\u5f0f [ \u8c46\u74e3 ] Head First \u8bbe\u8ba1\u6a21\u5f0f [ \u8c46\u74e3 ] \u6df1\u5ea6\u5b66\u4e60 \u52a8\u624b\u5b66\u6df1\u5ea6\u5b66\u4e60 [ \u8c46\u74e3 ] \u795e\u7ecf\u7f51\u7edc\u4e0e\u6df1\u5ea6\u5b66\u4e60 [ \u8c46\u74e3 ] \u6df1\u5ea6\u5b66\u4e60\u5165\u95e8 [ \u8c46\u74e3 ] \u7b80\u5355\u7c97\u66b4 TensorFlow 2 (Tutorial) Speech and Language Processing [ \u8c46\u74e3 ] \u8ba1\u7b97\u673a\u89c6\u89c9 Multiple View Geometry in Computer Vision [ \u8c46\u74e3 ] \u673a\u5668\u4eba Probabilistic Robotics [ \u8c46\u74e3 ] \u9762\u8bd5 \u5251\u6307 Offer\uff1a\u540d\u4f01\u9762\u8bd5\u5b98\u7cbe\u8bb2\u5178\u578b\u7f16\u7a0b\u9898 [ \u8c46\u74e3 ] Cracking The Coding Interview [ \u8c46\u74e3 ]","title":"\u597d\u4e66\u63a8\u8350"},{"location":"%E5%A5%BD%E4%B9%A6%E6%8E%A8%E8%8D%90/#_1","text":"\u7531\u4e8e\u7248\u6743\u539f\u56e0\uff0c\u4e0b\u9762\u5217\u4e3e\u7684\u56fe\u4e66\u4e2d\u9664\u4e86\u5f00\u6e90\u8d44\u6e90\u63d0\u4f9b\u4e86\u94fe\u63a5\uff0c\u5176\u4ed6\u7684\u8d44\u6e90\u8bf7\u5927\u5bb6\u81ea\u884c\u901a\u8fc7 libgen \u6216 z-lib \u67e5\u627e\u3002","title":"\u597d\u4e66\u63a8\u8350"},{"location":"%E5%A5%BD%E4%B9%A6%E6%8E%A8%E8%8D%90/#_2","text":"Free Programming Books : \u5f00\u6e90\u7f16\u7a0b\u4e66\u7c4d\u8d44\u6e90\u6c47\u603b CS Textbook Recommendations : \u8ba1\u7b97\u673a\u79d1\u5b66\u65b9\u5411\u63a8\u8350\u6559\u6750\u5217\u8868 C Book Guide and List : C\u8bed\u8a00\u76f8\u5173\u7684\u7f16\u7a0b\u4e66\u7c4d\u63a8\u8350\u5217\u8868 C++ Book Guide and List : C++\u8bed\u8a00\u76f8\u5173\u7684\u7f16\u7a0b\u4e66\u7c4d\u63a8\u8350\u5217\u8868 Python Book Guide and List : Python\u8bed\u8a00\u76f8\u5173\u7684\u7f16\u7a0b\u4e66\u7c4d\u63a8\u8350\u5217\u8868","title":"\u8d44\u6e90\u6c47\u603b"},{"location":"%E5%A5%BD%E4%B9%A6%E6%8E%A8%E8%8D%90/#_3","text":"Computer Systems: A Programmer's Perspective [ \u8c46\u74e3 ] Principles of Computer System Design: An Introduction [ \u8c46\u74e3 ]","title":"\u7cfb\u7edf\u5165\u95e8"},{"location":"%E5%A5%BD%E4%B9%A6%E6%8E%A8%E8%8D%90/#_4","text":"\u73b0\u4ee3\u64cd\u4f5c\u7cfb\u7edf: \u539f\u7406\u4e0e\u5b9e\u73b0 [ \u8c46\u74e3 ] Operating Systems: Three Easy Pieces [ \u8c46\u74e3 ] Modern Operating Systems [ \u8c46\u74e3 ] Operating Systems: Principles and Practice [ \u8c46\u74e3 ]","title":"\u64cd\u4f5c\u7cfb\u7edf"},{"location":"%E5%A5%BD%E4%B9%A6%E6%8E%A8%E8%8D%90/#_5","text":"Computer Networks: A Systems Approach [ \u8c46\u74e3 ] Computer Networking: A Top-Down Approach [ \u8c46\u74e3 ]","title":"\u8ba1\u7b97\u673a\u7f51\u7edc"},{"location":"%E5%A5%BD%E4%B9%A6%E6%8E%A8%E8%8D%90/#_6","text":"Patterns of Distributed System (Blog) Distributed Systems for Fun and Profit (Blog) Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems [ \u8c46\u74e3 ]","title":"\u5206\u5e03\u5f0f\u7cfb\u7edf"},{"location":"%E5%A5%BD%E4%B9%A6%E6%8E%A8%E8%8D%90/#_7","text":"Architecture of a Database System [ \u8c46\u74e3 ] Readings in Database Systems [ \u8c46\u74e3 ] Database System Concepts [ \u8c46\u74e3 ]","title":"\u6570\u636e\u5e93\u7cfb\u7edf"},{"location":"%E5%A5%BD%E4%B9%A6%E6%8E%A8%E8%8D%90/#_8","text":"Engineering a Compiler [ \u8c46\u74e3 ] Compilers: Principles, Techniques, and Tools [ \u8c46\u74e3 ]","title":"\u7f16\u8bd1\u539f\u7406"},{"location":"%E5%A5%BD%E4%B9%A6%E6%8E%A8%E8%8D%90/#_9","text":"\u8ba1\u7b97\u673a\u7a0b\u5e8f\u7684\u6784\u9020\u548c\u89e3\u91ca [ \u8c46\u74e3 ] Essentials of Programming Languages [ \u8c46\u74e3 ] Practical Foundations for Programming Languages [ \u8c46\u74e3 ] Software Foundations [ \u8c46\u74e3 ] [ 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Bryant \u6559\u6388\u6267\u7b14\uff0c\u4e5f\u5373\u6240\u8c13\u7684 CSAPP\u3002\u8fd9\u4e5f\u662f\u6211\u7b2c\u4e00\u672c\u8ba4\u8ba4\u771f\u771f\u4e00\u9875\u4e00\u9875\u8bfb\u8fc7\u53bb\u7684\u8ba1\u7b97\u673a\u6559\u6750\uff0c\u867d\u7136\u5f88\u96be\u5543\uff0c\u4f46\u7740\u5b9e\u6536\u83b7\u826f\u591a\u3002 \u5317\u5927\u8d2d\u4e70\u4e86\u8fd9\u95e8\u8bfe\u7684\u7248\u6743\u5e76\u5f00\u8bbe\u4e86 Introduction to Computer System \u8fd9\u95e8\u8bfe\uff0c\u4f46\u5176\u5b9e CSAPP \u6240\u6709\u7684\u8bfe\u7a0b\u8d44\u6e90\u548c\u5b9e\u9a8c\u4ee3\u7801\u90fd\u80fd\u5728\u5b83\u7684\u5b98\u65b9\u4e3b\u9875\u4e0a\u8bbf\u95ee\u5230\uff08\u5177\u4f53\u53c2\u89c1\u4e0b\u65b9\u94fe\u63a5\uff09\u3002 \u8fd9\u95e8\u8bfe\u7531\u4e8e\u8fc7\u4e8e\u51fa\u540d\uff0c\u5168\u4e16\u754c\u7684\u7801\u519c\u4e89\u76f8\u5b66\u4e60\uff0c\u5bfc\u81f4\u5176 Project 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\u5199\u4f5c\u4e1a\u4e5f\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\u3002","title":"LaTeX"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/LaTeX/#latex","text":"","title":"LaTeX"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/LaTeX/#latex_1","text":"\u5982\u679c\u4f60\u9700\u8981\u5199\u8bba\u6587\uff0c\u90a3\u4e48\u8bf7\u76f4\u63a5\u8df3\u5230\u4e0b\u4e00\u8282\uff0c\u56e0\u4e3a\u4f60\u4e0d\u5b66\u4e5f\u5f97\u5b66\u3002 LaTeX \u662f\u4e00\u79cd\u57fa\u4e8e TeX \u7684\u6392\u7248\u7cfb\u7edf\uff0c\u7531\u56fe\u7075\u5956\u5f97\u4e3b Lamport \u5f00\u53d1\uff0c\u800c Tex \u5219\u662f\u7531 Knuth \u6700\u521d\u5f00\u53d1\uff0c\u8fd9\u4e24\u4f4d\u90fd\u662f\u8ba1\u7b97\u673a\u754c\u7684\u5de8\u64d8\u3002\u5f53\u7136\u5f00\u53d1\u8005\u5f3a\u5e76\u4e0d\u662f\u6211\u4eec\u5b66\u4e60 LaTeX \u7684\u7406\u7531\uff0cLaTeX \u548c\u5e38\u89c1\u7684\u6240\u89c1\u5373\u6240\u5f97\u7684 Word 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\u73af\u5883\u51fa\u73b0\u4e86\u95ee\u9898\uff0c\u53ef\u4ee5\u8003\u8651\u4f7f\u7528 Overleaf \u8fd9\u4e2a\u5728\u7ebf LaTeX \u7f16\u8f91\u7f51\u7ad9\u3002\u7ad9\u5185\u4e0d\u4ec5\u6709\u5404\u79cd\u5404\u6837\u7684 LaTeX \u6a21\u7248\u4f9b\u4f60\u9009\u62e9\uff0c\u8fd8\u514d\u53bb\u4e86\u73af\u5883\u914d\u7f6e\u7684\u96be\u9898\u3002 \u9605\u8bfb\u4e0b\u9762\u4e09\u7bc7 Tutorial: Part-1 , Part-2 , Part-3 \u3002 \u5b66\u4e60 LaTeX \u6700\u597d\u7684\u65b9\u5f0f\u5f53\u7136\u662f\u5199\u8bba\u6587\uff0c\u4e0d\u8fc7\u4ece\u4e00\u95e8\u6570\u5b66\u8bfe\u5165\u624b\u7528 LaTeX \u5199\u4f5c\u4e1a\u4e5f\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\u3002","title":"\u5982\u4f55\u5b66\u4e60 LaTeX"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/Vim/","text":"Vim \u4e3a\u4ec0\u4e48\u5b66\u4e60 Vim \u5728\u6211\u770b\u6765 Vim \u7f16\u8f91\u5668\u6709\u5982\u4e0b\u7684\u597d\u5904\uff1a \u8ba9\u4f60\u7684\u6574\u4e2a\u5f00\u53d1\u8fc7\u7a0b\u624b\u6307\u4e0d\u9700\u8981\u79bb\u5f00\u952e\u76d8\uff0c\u800c\u4e14\u5149\u6807\u7684\u79fb\u52a8\u4e0d\u9700\u8981\u65b9\u5411\u952e\u4f7f\u5f97\u4f60\u7684\u624b\u6307\u4e00\u76f4\u5904\u5728\u6253\u5b57\u7684\u6700\u4f73\u4f4d\u7f6e\u3002 \u65b9\u4fbf\u7684\u6587\u4ef6\u5207\u6362\u4ee5\u53ca\u9762\u677f\u63a7\u5236\u53ef\u4ee5\u8ba9\u4f60\u540c\u65f6\u5f00\u53d1\u591a\u4efd\u6587\u4ef6\u751a\u81f3\u540c\u4e00\u4e2a\u6587\u4ef6\u7684\u4e0d\u540c\u4f4d\u7f6e\u3002 Vim \u7684\u5b8f\u64cd\u4f5c\u53ef\u4ee5\u6279\u91cf\u5316\u5904\u7406\u91cd\u590d\u64cd\u4f5c\uff08\u4f8b\u5982\u591a\u884c tab\uff0c\u6279\u91cf\u52a0\u53cc\u5f15\u53f7\u7b49\u7b49\uff09 Vim \u662f\u5f88\u591a\u670d\u52a1\u5668\u81ea\u5e26\u7684\u547d\u4ee4\u884c\u7f16\u8f91\u5668\uff0c\u5f53\u4f60\u901a\u8fc7 ssh \u8fde\u63a5\u8fdc\u7a0b\u670d\u52a1\u5668\u4e4b\u540e\uff0c\u7531\u4e8e\u6ca1\u6709\u56fe\u5f62\u754c\u9762\uff0c\u53ea\u80fd\u5728\u547d\u4ee4\u884c\u91cc\u8fdb\u884c\u5f00\u53d1\uff08\u5f53\u7136\u73b0\u5728\u5f88\u591a IDE \u5982 VS Code \u63d0\u4f9b\u4e86 ssh \u63d2\u4ef6\u53ef\u4ee5\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\uff09\u3002 \u5f02\u5e38\u4e30\u5bcc\u7684\u63d2\u4ef6\u751f\u6001\uff0c\u8ba9\u4f60\u62e5\u6709\u4e16\u754c\u4e0a\u6700\u82b1\u91cc\u80e1\u54e8\u7684\u547d\u4ee4\u884c\u7f16\u8f91\u5668\u3002 \u5982\u4f55\u5b66\u4e60 Vim \u4e0d\u5e78\u7684\u662f Vim \u7684\u5b66\u4e60\u66f2\u7ebf\u786e\u5b9e\u76f8\u5f53\u9661\u5ced\uff0c\u6211\u82b1\u4e86\u597d\u51e0\u4e2a\u661f\u671f\u624d\u6162\u6162\u9002\u5e94\u4e86\u7528 Vim \u8fdb\u884c\u5f00\u53d1\u7684\u8fc7\u7a0b\u3002\u6700\u5f00\u59cb\u4f60\u4f1a\u89c9\u5f97\u975e\u5e38\u4e0d\u9002\u5e94\uff0c\u4f46\u4e00\u65e6\u71ac\u8fc7\u4e86\u521d\u59cb\u9636\u6bb5\uff0c\u76f8\u4fe1\u6211\uff0c\u4f60\u4f1a\u7231\u4e0a Vim\u3002 Vim \u7684\u5b66\u4e60\u8d44\u6599\u6d69\u5982\u70df\u6d77\uff0c\u4f46\u638c\u63e1\u5b83\u6700\u597d\u7684\u65b9\u5f0f\u8fd8\u662f\u5c06\u5b83\u7528\u5728\u65e5\u5e38\u7684\u5f00\u53d1\u8fc7\u7a0b\u4e2d\uff0c\u800c\u4e0d\u662f\u4e00\u4e0a\u6765\u5c31\u53bb\u5b66\u5404\u79cd\u82b1\u91cc\u80e1\u54e8\u7684\u9ad8\u7ea7 Vim \u6280\u5de7\u3002\u4e2a\u4eba\u63a8\u8350\u7684\u5b66\u4e60\u8def\u7ebf\u5982\u4e0b\uff1a \u5148\u9605\u8bfb \u8fd9\u7bc7 tutorial \uff0c\u638c\u63e1\u57fa\u672c\u7684 Vim \u6982\u5ff5\u548c\u4f7f\u7528\u65b9\u5f0f\u3002 \u7528 Vim \u81ea\u5e26\u7684 vimtutor \u8fdb\u884c\u7ec3\u4e60\uff0c\u5b89\u88c5\u5b8c Vim \u4e4b\u540e\u76f4\u63a5\u5728\u547d\u4ee4\u884c\u91cc\u8f93\u5165 vimtutor \u5373\u53ef\u8fdb\u5165\u7ec3\u4e60\u7a0b\u5e8f\u3002 \u6700\u540e\u5c31\u662f\u5f3a\u8feb\u81ea\u5df1\u4f7f\u7528 Vim \u8fdb\u884c\u5f00\u53d1\uff0cIDE \u91cc\u53ef\u4ee5\u5b89\u88c5 Vim \u63d2\u4ef6\u3002 \u7b49\u4f60\u5b8c\u5168\u9002\u5e94 Vim \u4e4b\u540e\u65b0\u7684\u4e16\u754c\u4fbf\u5411\u4f60\u655e\u5f00\u4e86\u5927\u95e8\uff0c\u4f60\u53ef\u4ee5\u6309\u9700\u914d\u7f6e\u81ea\u5df1\u7684 Vim\uff08\u4fee\u6539 .vimrc \u6587\u4ef6\uff09\uff0c\u7f51\u4e0a\u6709\u6570\u4e0d\u80dc\u6570\u7684\u8d44\u6e90\u53ef\u4ee5\u501f\u9274\u3002 \u63a8\u8350\u53c2\u8003\u8d44\u6599 Neil, Drew. Practical Vim: Edit Text at the Speed of Thought. N.p., Pragmatic Bookshelf, 2015. Neil, Drew. Modern Vim: Craft Your Development Environment with Vim 8 and Neovim. United States, Pragmatic Bookshelf.","title":"Vim"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/Vim/#vim","text":"","title":"Vim"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/Vim/#vim_1","text":"\u5728\u6211\u770b\u6765 Vim \u7f16\u8f91\u5668\u6709\u5982\u4e0b\u7684\u597d\u5904\uff1a \u8ba9\u4f60\u7684\u6574\u4e2a\u5f00\u53d1\u8fc7\u7a0b\u624b\u6307\u4e0d\u9700\u8981\u79bb\u5f00\u952e\u76d8\uff0c\u800c\u4e14\u5149\u6807\u7684\u79fb\u52a8\u4e0d\u9700\u8981\u65b9\u5411\u952e\u4f7f\u5f97\u4f60\u7684\u624b\u6307\u4e00\u76f4\u5904\u5728\u6253\u5b57\u7684\u6700\u4f73\u4f4d\u7f6e\u3002 \u65b9\u4fbf\u7684\u6587\u4ef6\u5207\u6362\u4ee5\u53ca\u9762\u677f\u63a7\u5236\u53ef\u4ee5\u8ba9\u4f60\u540c\u65f6\u5f00\u53d1\u591a\u4efd\u6587\u4ef6\u751a\u81f3\u540c\u4e00\u4e2a\u6587\u4ef6\u7684\u4e0d\u540c\u4f4d\u7f6e\u3002 Vim \u7684\u5b8f\u64cd\u4f5c\u53ef\u4ee5\u6279\u91cf\u5316\u5904\u7406\u91cd\u590d\u64cd\u4f5c\uff08\u4f8b\u5982\u591a\u884c tab\uff0c\u6279\u91cf\u52a0\u53cc\u5f15\u53f7\u7b49\u7b49\uff09 Vim \u662f\u5f88\u591a\u670d\u52a1\u5668\u81ea\u5e26\u7684\u547d\u4ee4\u884c\u7f16\u8f91\u5668\uff0c\u5f53\u4f60\u901a\u8fc7 ssh \u8fde\u63a5\u8fdc\u7a0b\u670d\u52a1\u5668\u4e4b\u540e\uff0c\u7531\u4e8e\u6ca1\u6709\u56fe\u5f62\u754c\u9762\uff0c\u53ea\u80fd\u5728\u547d\u4ee4\u884c\u91cc\u8fdb\u884c\u5f00\u53d1\uff08\u5f53\u7136\u73b0\u5728\u5f88\u591a IDE \u5982 VS Code \u63d0\u4f9b\u4e86 ssh \u63d2\u4ef6\u53ef\u4ee5\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\uff09\u3002 \u5f02\u5e38\u4e30\u5bcc\u7684\u63d2\u4ef6\u751f\u6001\uff0c\u8ba9\u4f60\u62e5\u6709\u4e16\u754c\u4e0a\u6700\u82b1\u91cc\u80e1\u54e8\u7684\u547d\u4ee4\u884c\u7f16\u8f91\u5668\u3002","title":"\u4e3a\u4ec0\u4e48\u5b66\u4e60 Vim"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/Vim/#vim_2","text":"\u4e0d\u5e78\u7684\u662f Vim \u7684\u5b66\u4e60\u66f2\u7ebf\u786e\u5b9e\u76f8\u5f53\u9661\u5ced\uff0c\u6211\u82b1\u4e86\u597d\u51e0\u4e2a\u661f\u671f\u624d\u6162\u6162\u9002\u5e94\u4e86\u7528 Vim \u8fdb\u884c\u5f00\u53d1\u7684\u8fc7\u7a0b\u3002\u6700\u5f00\u59cb\u4f60\u4f1a\u89c9\u5f97\u975e\u5e38\u4e0d\u9002\u5e94\uff0c\u4f46\u4e00\u65e6\u71ac\u8fc7\u4e86\u521d\u59cb\u9636\u6bb5\uff0c\u76f8\u4fe1\u6211\uff0c\u4f60\u4f1a\u7231\u4e0a Vim\u3002 Vim \u7684\u5b66\u4e60\u8d44\u6599\u6d69\u5982\u70df\u6d77\uff0c\u4f46\u638c\u63e1\u5b83\u6700\u597d\u7684\u65b9\u5f0f\u8fd8\u662f\u5c06\u5b83\u7528\u5728\u65e5\u5e38\u7684\u5f00\u53d1\u8fc7\u7a0b\u4e2d\uff0c\u800c\u4e0d\u662f\u4e00\u4e0a\u6765\u5c31\u53bb\u5b66\u5404\u79cd\u82b1\u91cc\u80e1\u54e8\u7684\u9ad8\u7ea7 Vim \u6280\u5de7\u3002\u4e2a\u4eba\u63a8\u8350\u7684\u5b66\u4e60\u8def\u7ebf\u5982\u4e0b\uff1a \u5148\u9605\u8bfb \u8fd9\u7bc7 tutorial \uff0c\u638c\u63e1\u57fa\u672c\u7684 Vim \u6982\u5ff5\u548c\u4f7f\u7528\u65b9\u5f0f\u3002 \u7528 Vim \u81ea\u5e26\u7684 vimtutor \u8fdb\u884c\u7ec3\u4e60\uff0c\u5b89\u88c5\u5b8c Vim \u4e4b\u540e\u76f4\u63a5\u5728\u547d\u4ee4\u884c\u91cc\u8f93\u5165 vimtutor \u5373\u53ef\u8fdb\u5165\u7ec3\u4e60\u7a0b\u5e8f\u3002 \u6700\u540e\u5c31\u662f\u5f3a\u8feb\u81ea\u5df1\u4f7f\u7528 Vim \u8fdb\u884c\u5f00\u53d1\uff0cIDE \u91cc\u53ef\u4ee5\u5b89\u88c5 Vim \u63d2\u4ef6\u3002 \u7b49\u4f60\u5b8c\u5168\u9002\u5e94 Vim \u4e4b\u540e\u65b0\u7684\u4e16\u754c\u4fbf\u5411\u4f60\u655e\u5f00\u4e86\u5927\u95e8\uff0c\u4f60\u53ef\u4ee5\u6309\u9700\u914d\u7f6e\u81ea\u5df1\u7684 Vim\uff08\u4fee\u6539 .vimrc \u6587\u4ef6\uff09\uff0c\u7f51\u4e0a\u6709\u6570\u4e0d\u80dc\u6570\u7684\u8d44\u6e90\u53ef\u4ee5\u501f\u9274\u3002","title":"\u5982\u4f55\u5b66\u4e60 Vim"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/Vim/#_1","text":"Neil, Drew. Practical Vim: Edit Text at the Speed of Thought. N.p., Pragmatic Bookshelf, 2015. Neil, Drew. Modern Vim: Craft Your Development Environment with Vim 8 and Neovim. United States, Pragmatic Bookshelf.","title":"\u63a8\u8350\u53c2\u8003\u8d44\u6599"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/thesis/","text":"\u6bd5\u4e1a\u8bba\u6587 \u4e3a\u4ec0\u4e48\u5199\u8fd9\u4efd\u6559\u7a0b 2022\u5e74\uff0c\u6211\u672c\u79d1\u6bd5\u4e1a\u4e86\u3002\u5728\u5f00\u59cb\u52a8\u624b\u5199\u6bd5\u4e1a\u8bba\u6587\u7684\u65f6\u5019\uff0c\u6211\u5c34\u5c2c\u5730\u53d1\u73b0\uff0c\u6211\u5bf9 Word \u7684\u638c\u63e1\u7a0b\u5ea6\u4ec5\u9650\u4e8e\u8c03\u8282\u5b57\u4f53\u3001\u4fdd\u5b58\u5bfc\u51fa\u8fd9\u4e9b\u50bb\u74dc\u529f\u80fd\u3002\u66fe\u60f3\u8f6c\u6218 Latex\uff0c\u4f46\u8bba\u6587\u7684\u6bb5\u843d\u683c\u5f0f\u8981\u6c42\u8c03\u6574\u8d77\u6765\u8fd8\u662f\u7528 Word 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\uff0c\u5e76\u6309\u7167\u5176\u8981\u6c42\u5236\u4f5c\u4e86 \u4e00\u4efd\u6a21\u7248 \uff0c\u5927\u5bb6\u9700\u8981\u7684\u8bdd\u81ea\u53d6\uff0c\u672c\u4eba\u4e0d\u627f\u62c5\u65e0\u6cd5\u6bd5\u4e1a\u7b49\u4efb\u4f55\u8d23\u4efb\u3002 \u5b66\u4e60 Word \u6392\u7248\uff1a\u5230\u8fbe\u8fd9\u4e00\u6b65\u7684\u7ae5\u978b\u5206\u4e3a\u4e24\u7c7b\uff0c\u4e00\u662f\u5df2\u7ecf\u62e5\u6709\u4e86\u5b66\u9662\u63d0\u4f9b\u7684\u6807\u51c6\u6a21\u7248\uff0c\u4e8c\u662f\u53ea\u6709\u4e00\u4efd\u865a\u65e0\u7f25\u7f08\u7684\u683c\u5f0f\u8981\u6c42\u3002\u90a3\u73b0\u5728\u5f53\u52a1\u4e4b\u6025\u5c31\u662f\u5b66\u4e60\u57fa\u7840\u7684 Word \u6392\u7248\u6280\u672f\uff0c\u5bf9\u4e8e\u524d\u8005\u53ef\u4ee5\u5b66\u4f1a\u4f7f\u7528\u6a21\u7248\uff0c\u5bf9\u4e8e\u540e\u8005\u5219\u53ef\u4ee5\u5b66\u4f1a\u5236\u4f5c\u6a21\u7248\u3002\u6b64\u65f6\u5207\u8bb0\u4e0d\u8981\u96c4\u5fc3\u52c3\u52c3\u5730\u9009\u62e9\u4e00\u4e2a\u5341\u51e0\u4e2a\u5c0f\u65f6\u7684 Word \u6559\u5b66\u89c6\u9891\u5f00\u59cb\u5934\u60ac\u6881\u9525\u523a\u80a1\uff0c\u56e0\u4e3a\u751f\u4ea7\u4e00\u4efd\u5e94\u4ed8\u6bd5\u4e1a\u7684\u5b66\u672f\u5783\u573e\u53ea\u8981\u5b66\u534a\u5c0f\u65f6\u80fd\u4e0a\u624b\u5c31\u591f\u4e86\u3002\u6211\u5f53\u65f6\u770b\u7684 \u4e00\u4e2a B \u7ad9\u7684\u6559\u5b66\u89c6\u9891 \uff0c\u77ed\u5c0f\u7cbe\u608d\u975e\u5e38\u5b9e\u7528\uff0c\u5168\u957f\u534a\u5c0f\u65f6\u6781\u901f\u5165\u95e8\u3002 \u751f\u4ea7\u5b66\u672f\u5783\u573e\uff1a\u6700\u5bb9\u6613\u7684\u4e00\u6b65\uff0c\u5927\u5bb6\u516b\u4ed9\u8fc7\u6d77\uff0c\u5404\u663e\u795e\u901a\u5427\uff0c\u795d\u5927\u5bb6\u6bd5\u4e1a\u987a\u5229\uff5e\uff5e","title":"\u5982\u4f55\u7528 Word \u5199\u6bd5\u4e1a\u8bba\u6587"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/tools/","text":"\u5b9e\u7528\u5de5\u5177\u7bb1 \u4e0b\u8f7d\u5de5\u5177 Libgen : PDF\u7535\u5b50\u4e66\u4e0b\u8f7d\u7f51\u7ad9\u3002 z-epub : ePub\u7535\u5b50\u4e66\u4e0b\u8f7d\u7f51\u7ad9\u3002 bitdownloader : \u6cb9\u7ba1\u89c6\u9891\u4e0b\u8f7d\u5668\u3002 zlibrary : \u7535\u5b50\u4e66\u4e0b\u8f7d\u7f51\u7ad9(\u53ef\u80fd\u9700\u8981\u7ffb\u5899)\u3002 \u8bbe\u8ba1\u5de5\u5177 excalidraw : \u4e00\u6b3e\u624b\u7ed8\u98ce\u683c\u7684\u7ed8\u56fe\u5de5\u5177\uff0c\u975e\u5e38\u9002\u5408\u7ed8\u5236\u8bfe\u7a0b\u62a5\u544a\u6216\u8005PPT\u5185\u7684\u793a\u610f\u56fe\u3002 origamiway : \u624b\u628a\u624b\u6559\u4f60\u600e\u4e48\u6298\u7eb8\u3002 thingiverse : \u56ca\u62ec\u5404\u7c7b 2D/3D \u8bbe\u8ba1\u8d44\u6e90\uff0c\u5176 STL \u6587\u4ef6\u4e0b\u8f7d\u53ef\u76f4\u63a5 3D \u6253\u5370\u3002 iconfont : \u56fd\u5185\u6700\u5927\u7684\u56fe\u6807\u548c\u63d2\u753b\u8d44\u6e90\u5e93\uff0c\u53ef\u7528\u4e8e\u5f00\u53d1\u6216\u7ed8\u5236\u7cfb\u7edf\u67b6\u6784\u56fe\u3002 turbosquid : \u53ef\u4ee5\u8d2d\u4e70\u5404\u5f0f\u5404\u6837\u7684\u6a21\u578b\u3002 \u7f16\u7a0b\u76f8\u5173 sqlfiddle : \u4e00\u4e2a\u7b80\u6613\u7684\u5728\u7ebf SQL Playground\u3002 godbolt : \u975e\u5e38\u65b9\u4fbf\u7684\u7f16\u8bd1\u5668\u63a2\u7d22\u5de5\u5177\u3002\u4f60\u53ef\u4ee5\u5199\u4e00\u6bb5 C/C++ \u4ee3\u7801\uff0c\u9009\u62e9\u4e00\u6b3e\u7f16\u8bd1\u5668\uff0c\u7136\u540e\u4fbf\u53ef\u4ee5\u89c2\u5bdf\u751f\u6210\u7684\u5177\u4f53\u6c47\u7f16\u4ee3\u7801\u3002 explainshell : \u4f60\u662f\u5426\u66fe\u4e3a\u4e00\u6bb5 shell \u4ee3\u7801\u7684\u5177\u4f53\u542b\u4e49\u611f\u5230\u56f0\u6270\uff1fmanpage \u770b\u534a\u5929\u8fd8\u662f\u4e0d\u660e\u6240\u4ee5\uff1f\u8bd5\u8bd5\u8fd9\u4e2a\u7f51\u7ad9\uff01 regex101 : \u6b63\u5219\u8868\u8fbe\u5f0f\u8c03\u8bd5\u7f51\u7ad9\uff0c\u652f\u6301\u5404\u79cd\u7f16\u7a0b\u8bed\u8a00\u7684\u5339\u914d\u6807\u51c6\u3002 typingtom : \u9488\u5bf9\u7a0b\u5e8f\u5458\u7684\u6253\u5b57\u7ec3\u4e60/\u6d4b\u901f\u7f51\u7ad9\u3002 \u5b66\u4e60\u7f51\u7ad9 HFS : \u5404\u7c7b\u8f6f\u4ef6\u6559\u7a0b\u3002 os-wiki : \u64cd\u4f5c\u7cfb\u7edf\u6280\u672f\u8d44\u6e90\u767e\u79d1\u5168\u4e66\u3002 Shadertoy : \u7f16\u5199\u5404\u5f0f\u5404\u6837\u7684 shader\u3002 \u6742\u9879 tophub : \u65b0\u95fb\u70ed\u699c\u5408\u96c6\uff08\u7efc\u5408\u4e86\u77e5\u4e4e\u3001\u5fae\u535a\u3001\u767e\u5ea6\u3001\u5fae\u4fe1\u7b49\uff09\u3002 speedtest : \u5728\u7ebf\u7f51\u7edc\u6d4b\u901f\u7f51\u7ad9\u3002 public-apis : \u516c\u5171 API \u5408\u96c6\u5217\u8868\u3002","title":"\u5b9e\u7528\u5de5\u5177\u7bb1"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/tools/#_1","text":"","title":"\u5b9e\u7528\u5de5\u5177\u7bb1"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/tools/#_2","text":"Libgen : PDF\u7535\u5b50\u4e66\u4e0b\u8f7d\u7f51\u7ad9\u3002 z-epub : ePub\u7535\u5b50\u4e66\u4e0b\u8f7d\u7f51\u7ad9\u3002 bitdownloader : \u6cb9\u7ba1\u89c6\u9891\u4e0b\u8f7d\u5668\u3002 zlibrary : \u7535\u5b50\u4e66\u4e0b\u8f7d\u7f51\u7ad9(\u53ef\u80fd\u9700\u8981\u7ffb\u5899)\u3002","title":"\u4e0b\u8f7d\u5de5\u5177"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/tools/#_3","text":"excalidraw : \u4e00\u6b3e\u624b\u7ed8\u98ce\u683c\u7684\u7ed8\u56fe\u5de5\u5177\uff0c\u975e\u5e38\u9002\u5408\u7ed8\u5236\u8bfe\u7a0b\u62a5\u544a\u6216\u8005PPT\u5185\u7684\u793a\u610f\u56fe\u3002 origamiway : \u624b\u628a\u624b\u6559\u4f60\u600e\u4e48\u6298\u7eb8\u3002 thingiverse : \u56ca\u62ec\u5404\u7c7b 2D/3D \u8bbe\u8ba1\u8d44\u6e90\uff0c\u5176 STL \u6587\u4ef6\u4e0b\u8f7d\u53ef\u76f4\u63a5 3D \u6253\u5370\u3002 iconfont : \u56fd\u5185\u6700\u5927\u7684\u56fe\u6807\u548c\u63d2\u753b\u8d44\u6e90\u5e93\uff0c\u53ef\u7528\u4e8e\u5f00\u53d1\u6216\u7ed8\u5236\u7cfb\u7edf\u67b6\u6784\u56fe\u3002 turbosquid : \u53ef\u4ee5\u8d2d\u4e70\u5404\u5f0f\u5404\u6837\u7684\u6a21\u578b\u3002","title":"\u8bbe\u8ba1\u5de5\u5177"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/tools/#_4","text":"sqlfiddle : \u4e00\u4e2a\u7b80\u6613\u7684\u5728\u7ebf SQL Playground\u3002 godbolt : \u975e\u5e38\u65b9\u4fbf\u7684\u7f16\u8bd1\u5668\u63a2\u7d22\u5de5\u5177\u3002\u4f60\u53ef\u4ee5\u5199\u4e00\u6bb5 C/C++ \u4ee3\u7801\uff0c\u9009\u62e9\u4e00\u6b3e\u7f16\u8bd1\u5668\uff0c\u7136\u540e\u4fbf\u53ef\u4ee5\u89c2\u5bdf\u751f\u6210\u7684\u5177\u4f53\u6c47\u7f16\u4ee3\u7801\u3002 explainshell : \u4f60\u662f\u5426\u66fe\u4e3a\u4e00\u6bb5 shell \u4ee3\u7801\u7684\u5177\u4f53\u542b\u4e49\u611f\u5230\u56f0\u6270\uff1fmanpage \u770b\u534a\u5929\u8fd8\u662f\u4e0d\u660e\u6240\u4ee5\uff1f\u8bd5\u8bd5\u8fd9\u4e2a\u7f51\u7ad9\uff01 regex101 : \u6b63\u5219\u8868\u8fbe\u5f0f\u8c03\u8bd5\u7f51\u7ad9\uff0c\u652f\u6301\u5404\u79cd\u7f16\u7a0b\u8bed\u8a00\u7684\u5339\u914d\u6807\u51c6\u3002 typingtom : \u9488\u5bf9\u7a0b\u5e8f\u5458\u7684\u6253\u5b57\u7ec3\u4e60/\u6d4b\u901f\u7f51\u7ad9\u3002","title":"\u7f16\u7a0b\u76f8\u5173"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/tools/#_5","text":"HFS : \u5404\u7c7b\u8f6f\u4ef6\u6559\u7a0b\u3002 os-wiki : \u64cd\u4f5c\u7cfb\u7edf\u6280\u672f\u8d44\u6e90\u767e\u79d1\u5168\u4e66\u3002 Shadertoy : \u7f16\u5199\u5404\u5f0f\u5404\u6837\u7684 shader\u3002","title":"\u5b66\u4e60\u7f51\u7ad9"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/tools/#_6","text":"tophub : \u65b0\u95fb\u70ed\u699c\u5408\u96c6\uff08\u7efc\u5408\u4e86\u77e5\u4e4e\u3001\u5fae\u535a\u3001\u767e\u5ea6\u3001\u5fae\u4fe1\u7b49\uff09\u3002 speedtest : \u5728\u7ebf\u7f51\u7edc\u6d4b\u901f\u7f51\u7ad9\u3002 public-apis : \u516c\u5171 API \u5408\u96c6\u5217\u8868\u3002","title":"\u6742\u9879"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/%E7%BF%BB%E5%A2%99/","text":"\u7ffb\u5899 \u6b64\u94fe\u63a5 \u51fa\u73b0\u5728\u8fd9\u91cc\u7eaf\u5c5e\u4e8c\u8fdb\u5236 bit \u7684\u968f\u610f\u7ec4\u5408\uff0c\u4e0e\u672c\u4eba\u6beb\u65e0\u5173\u7cfb\u3002","title":"\u7ffb\u5899"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/%E7%BF%BB%E5%A2%99/#_1","text":"\u6b64\u94fe\u63a5 \u51fa\u73b0\u5728\u8fd9\u91cc\u7eaf\u5c5e\u4e8c\u8fdb\u5236 bit \u7684\u968f\u610f\u7ec4\u5408\uff0c\u4e0e\u672c\u4eba\u6beb\u65e0\u5173\u7cfb\u3002","title":"\u7ffb\u5899"},{"location":"%E6%93%8D%E4%BD%9C%E7%B3%BB%E7%BB%9F/CS162/","text":"CS162: Operating System \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aUC Berkeley \u5148\u4fee\u8981\u6c42\uff1aCS61A, CS61B, CS61C \u7f16\u7a0b\u8bed\u8a00\uff1aC, x86\u6c47\u7f16 \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a200 \u5c0f\u65f6+\uff0c\u4e0a\u4e0d\u5c01\u9876 \u8fd9\u95e8\u8bfe\u8ba9\u6211\u8bb0\u5fc6\u72b9\u65b0\u7684\u6709\u4e24\u4e2a\u90e8\u5206\uff1a \u9996\u5148\u662f\u6559\u6750\uff0c\u8fd9\u672c\u4e66\u7528\u7684\u6559\u6750 Operating Systems: Principles and Practice (2nd Edition) \u4e00\u5171\u56db\u5377\uff0c\u5199\u5f97\u975e\u5e38\u6df1\u5165\u6d45\u51fa\uff0c\u5f88\u597d\u5730\u5f25\u8865\u4e86 MIT6.S081 \u5728\u7406\u8bba\u77e5\u8bc6\u4e0a\u7684\u4e9b\u8bb8\u7a7a\u767d\uff0c\u975e\u5e38\u5efa\u8bae\u5927\u5bb6\u9605\u8bfb\u3002\u76f8\u5173\u8d44\u6e90\u4f1a\u5206\u4eab\u5728\u672c\u4e66\u7684\u7ecf\u5178\u4e66\u7c4d\u63a8\u8350\u6a21\u5757\u3002 \u5176\u6b21\u662f\u8fd9\u95e8\u8bfe\u7684 Project \u2014\u2014 Pintos\u3002Pintos \u662f\u7531 Ben Pfaff \u7b49\u4eba\u5728 x86 \u5e73\u53f0\u4e0a\u7f16\u5199\u7684\u6559\u5b66\u7528\u64cd\u4f5c\u7cfb\u7edf\uff0cBen Pfaff \u751a\u81f3\u4e13\u95e8\u53d1\u4e86\u7bc7 paper \u6765\u9610\u8ff0 Pintos \u7684\u8bbe\u8ba1\u601d\u60f3\u3002 \u548c MIT \u7684 xv6 \u5c0f\u800c\u7cbe\u7684 lab \u8bbe\u8ba1\u7406\u5ff5\u4e0d\u540c\uff0cPintos \u66f4\u6ce8\u91cd\u7cfb\u7edf\u7684 Design and Implementation\u3002Pintos \u672c\u8eab\u4ec5\u4e00\u4e07\u884c\u5de6\u53f3\uff0c\u53ea\u63d0\u4f9b\u4e86\u64cd\u4f5c\u7cfb\u7edf\u6700\u57fa\u672c\u7684\u529f\u80fd\u3002\u800c 4 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\u4e4b\u540e\u6df1\u611f\u6127\u759a\uff0c\u542b\u6cea\u82b1\u4e86\u4e24\u767e\u591a\u4e70\u4e86\u4e00\u672c\u82f1\u6587\u6b63\u7248\u6536\u85cf\u3002\u4e0b\u9762\u9644\u4e0a\u6b64\u4e66\u5c01\u9762\uff0c\u5982\u679c\u4f60\u80fd\u5b8c\u5168\u7406\u89e3\u5c01\u9762\u56fe\u7684\u6570\u5b66\u542b\u4e49\uff0c\u90a3\u4f60\u5bf9\u7ebf\u6027\u4ee3\u6570\u7684\u7406\u89e3\u4e00\u5b9a\u4f1a\u8fbe\u5230\u65b0\u7684\u9ad8\u5ea6\u3002 \u914d\u5408\u6cb9\u7ba1\u6570\u5b66\u7f51\u7ea2 3Blue1Brown \u7684 \u7ebf\u6027\u4ee3\u6570\u7684\u672c\u8d28 \u7cfb\u5217\u89c6\u9891\u98df\u7528\u66f4\u4f73\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/syllabus/ \u8bfe\u7a0b\u89c6\u9891\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9 \u8bfe\u7a0b\u6559\u6750\uff1aIntroduction to Linear Algebra. Gilbert Strang \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9","title":"MIT18.06: Linear Algebra"},{"location":"%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/MITLA/#mit1806-linear-algebra","text":"","title":"MIT18.06: Linear Algebra"},{"location":"%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/MITLA/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1a\u82f1\u6587 \u7f16\u7a0b\u8bed\u8a00\uff1a\u65e0 \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a\u56e0\u4eba\u800c\u5f02 \u6570\u5b66\u5927\u725b Gilbert Strang \u8001\u5148\u751f\u5e74\u903e\u53e4\u7a00\u4ecd\u575a\u6301\u6388\u8bfe\uff0c\u5176\u7ecf\u5178\u6559\u6750 Introduction to Linear Algebra \u5df2\u88ab\u6e05\u534e\u91c7\u7528\u4e3a\u5b98\u65b9\u6559\u6750\u3002\u6211\u5f53\u65f6\u770b\u5b8c\u76d7\u7248 PDF \u4e4b\u540e\u6df1\u611f\u6127\u759a\uff0c\u542b\u6cea\u82b1\u4e86\u4e24\u767e\u591a\u4e70\u4e86\u4e00\u672c\u82f1\u6587\u6b63\u7248\u6536\u85cf\u3002\u4e0b\u9762\u9644\u4e0a\u6b64\u4e66\u5c01\u9762\uff0c\u5982\u679c\u4f60\u80fd\u5b8c\u5168\u7406\u89e3\u5c01\u9762\u56fe\u7684\u6570\u5b66\u542b\u4e49\uff0c\u90a3\u4f60\u5bf9\u7ebf\u6027\u4ee3\u6570\u7684\u7406\u89e3\u4e00\u5b9a\u4f1a\u8fbe\u5230\u65b0\u7684\u9ad8\u5ea6\u3002 \u914d\u5408\u6cb9\u7ba1\u6570\u5b66\u7f51\u7ea2 3Blue1Brown \u7684 \u7ebf\u6027\u4ee3\u6570\u7684\u672c\u8d28 \u7cfb\u5217\u89c6\u9891\u98df\u7528\u66f4\u4f73\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/MITLA/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a https://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/syllabus/ \u8bfe\u7a0b\u89c6\u9891\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9 \u8bfe\u7a0b\u6559\u6750\uff1aIntroduction to Linear Algebra. Gilbert Strang \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/MITmaths/","text":"MIT Calculus Course \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1a\u82f1\u8bed \u7f16\u7a0b\u8bed\u8a00\uff1a\u65e0 \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a\u56e0\u4eba\u800c\u5f02 MIT \u7684\u5fae\u79ef\u5206\u8bfe\u7531 MIT18.01: Single variable calculus \u548c MIT18.02: Multi variable calculus \u4e24\u95e8\u8bfe\u7ec4\u6210\u3002\u5bf9\u81ea\u5df1\u6570\u5b66\u57fa\u7840\u6bd4\u8f83\u81ea\u4fe1\u7684\u540c\u5b66\u53ef\u4ee5\u53ea\u770b\u8bfe\u7a0b notes\uff0c\u5199\u5f97\u975e\u5e38\u6d45\u663e\u751f\u52a8\u5e76\u4e14\u6293\u4f4f\u672c\u8d28\uff0c\u8ba9\u4f60\u4e0d\u518d\u75b2\u4e8e\u505a\u9898\u800c\u662f\u80fd\u591f\u771f\u6b63\u7aa5\u89c1\u5fae\u79ef\u5206\u7684\u672c\u8d28\u9b45\u529b\u3002 \u914d\u5408\u6cb9\u7ba1\u6570\u5b66\u7f51\u7ea2 3Blue1Brown \u7684 \u5fae\u79ef\u5206\u7684\u672c\u8d28 \u7cfb\u5217\u89c6\u9891\u98df\u7528\u66f4\u4f73\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a 18.01 , 18.02 \u8bfe\u7a0b\u89c6\u9891\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9 \u8bfe\u7a0b\u6559\u6750\uff1a\u53c2\u89c1\u8bfe\u7a0b notes \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u4e66\u9762\u4f5c\u4e1a\u53ca\u7b54\u6848\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9","title":"MIT18.01/18.02: Calculus"},{"location":"%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/MITmaths/#mit-calculus-course","text":"","title":"MIT Calculus Course"},{"location":"%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/MITmaths/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1a\u82f1\u8bed \u7f16\u7a0b\u8bed\u8a00\uff1a\u65e0 \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a\u56e0\u4eba\u800c\u5f02 MIT \u7684\u5fae\u79ef\u5206\u8bfe\u7531 MIT18.01: Single variable calculus \u548c MIT18.02: Multi variable calculus \u4e24\u95e8\u8bfe\u7ec4\u6210\u3002\u5bf9\u81ea\u5df1\u6570\u5b66\u57fa\u7840\u6bd4\u8f83\u81ea\u4fe1\u7684\u540c\u5b66\u53ef\u4ee5\u53ea\u770b\u8bfe\u7a0b notes\uff0c\u5199\u5f97\u975e\u5e38\u6d45\u663e\u751f\u52a8\u5e76\u4e14\u6293\u4f4f\u672c\u8d28\uff0c\u8ba9\u4f60\u4e0d\u518d\u75b2\u4e8e\u505a\u9898\u800c\u662f\u80fd\u591f\u771f\u6b63\u7aa5\u89c1\u5fae\u79ef\u5206\u7684\u672c\u8d28\u9b45\u529b\u3002 \u914d\u5408\u6cb9\u7ba1\u6570\u5b66\u7f51\u7ea2 3Blue1Brown \u7684 \u5fae\u79ef\u5206\u7684\u672c\u8d28 \u7cfb\u5217\u89c6\u9891\u98df\u7528\u66f4\u4f73\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/MITmaths/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a 18.01 , 18.02 \u8bfe\u7a0b\u89c6\u9891\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9 \u8bfe\u7a0b\u6559\u6750\uff1a\u53c2\u89c1\u8bfe\u7a0b notes \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u4e66\u9762\u4f5c\u4e1a\u53ca\u7b54\u6848\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/information/","text":"MIT6.050J: Information theory and Entropy \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1a\u65e0 \u7f16\u7a0b\u8bed\u8a00\uff1a\u65e0 \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a100 \u5c0f\u65f6 MIT \u9762\u5411\u5927\u4e00\u65b0\u751f\u7684\u4fe1\u606f\u8bba\u5165\u95e8\u8bfe\u7a0b\uff0cPenfield \u6559\u6388\u4e13\u95e8\u4e3a\u8fd9\u95e8\u8bfe\u5199\u4e86\u4e00\u672c \u6559\u6750 \u4f5c\u4e3a\u8bfe\u7a0b notes\uff0c\u5185\u5bb9\u6df1\u5165\u6d45\u51fa\uff0c\u751f\u52a8\u6709\u8da3\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-050j-information-and-entropy-spring-2008/index.htm \u8bfe\u7a0b\u6559\u6750\uff1a https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-050j-information-and-entropy-spring-2008/syllabus/MIT6_050JS08_textbook.pdf \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u8be6\u89c1\u8bfe\u7a0b\u7f51\u7ad9\uff0c\u5305\u542b\u4e66\u9762\u4f5c\u4e1a\u4e0e Matlab \u7f16\u7a0b\u4f5c\u4e1a\u3002","title":"MIT6.050J: Information theory and Entropy"},{"location":"%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/information/#mit6050j-information-theory-and-entropy","text":"","title":"MIT6.050J: Information theory and Entropy"},{"location":"%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/information/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1a\u65e0 \u7f16\u7a0b\u8bed\u8a00\uff1a\u65e0 \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a100 \u5c0f\u65f6 MIT \u9762\u5411\u5927\u4e00\u65b0\u751f\u7684\u4fe1\u606f\u8bba\u5165\u95e8\u8bfe\u7a0b\uff0cPenfield \u6559\u6388\u4e13\u95e8\u4e3a\u8fd9\u95e8\u8bfe\u5199\u4e86\u4e00\u672c \u6559\u6750 \u4f5c\u4e3a\u8bfe\u7a0b notes\uff0c\u5185\u5bb9\u6df1\u5165\u6d45\u51fa\uff0c\u751f\u52a8\u6709\u8da3\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/information/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-050j-information-and-entropy-spring-2008/index.htm \u8bfe\u7a0b\u6559\u6750\uff1a https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-050j-information-and-entropy-spring-2008/syllabus/MIT6_050JS08_textbook.pdf \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u8be6\u89c1\u8bfe\u7a0b\u7f51\u7ad9\uff0c\u5305\u542b\u4e66\u9762\u4f5c\u4e1a\u4e0e Matlab \u7f16\u7a0b\u4f5c\u4e1a\u3002","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E6%95%B0%E5%AD%A6%E8%BF%9B%E9%98%B6/6.042J/","text":"MIT 6.042J: Mathematics for Computer Science \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1aCalculus, Linear Algebra \u7f16\u7a0b\u8bed\u8a00\uff1aPython preferred \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a50-70 \u5c0f\u65f6 MIT \u7684\u79bb\u6563\u6570\u5b66\u4ee5\u53ca\u6982\u7387\u7efc\u5408\u8bfe\u7a0b\uff0c\u5bfc\u5e08\u662f\u5927\u540d\u9f0e\u9f0e\u7684 Tom Leighton ( Akamai \u7684\u8054\u5408\u521b\u59cb\u4eba\u4e4b\u4e00)\u3002\u5b66\u5b8c\u4e4b\u540e\u5bf9\u4e8e\u540e\u7eed\u7684\u7b97\u6cd5\u5b66\u4e60\u5927\u6709\u88e8\u76ca\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/ \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.bilibili.com/video/BV1L741147VX \u8bfe\u7a0b\u4f5c\u4e1a\uff1a https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/assignments/","title":"MIT 6.042J: Mathematics for Computer Science"},{"location":"%E6%95%B0%E5%AD%A6%E8%BF%9B%E9%98%B6/6.042J/#mit-6042j-mathematics-for-computer-science","text":"","title":"MIT 6.042J: Mathematics for Computer Science"},{"location":"%E6%95%B0%E5%AD%A6%E8%BF%9B%E9%98%B6/6.042J/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1aCalculus, Linear Algebra \u7f16\u7a0b\u8bed\u8a00\uff1aPython preferred \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a50-70 \u5c0f\u65f6 MIT \u7684\u79bb\u6563\u6570\u5b66\u4ee5\u53ca\u6982\u7387\u7efc\u5408\u8bfe\u7a0b\uff0c\u5bfc\u5e08\u662f\u5927\u540d\u9f0e\u9f0e\u7684 Tom Leighton ( Akamai 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\u8bfe\u7a0b\u7f51\u7ad9\uff1a http://www.inference.org.uk/mackay/itila/ \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.bilibili.com/video/BV1rs411T71e \u8bfe\u7a0b\u6559\u6750\uff1aInformation Theory, Inference, and Learning Algorithms \u5728\u8bfe\u7a0b\u7f51\u7ad9\u53ef\u4ee5\u4e0b\u8f7d\u5230\u514d\u8d39\u7684\u7535\u5b50\u7248 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u5728\u6bcf\u4e00\u8282\u8bfe\u89c6\u9891\u7684\u6700\u540e\u4f1a\u7559\u6559\u6750\u4e0a\u7684\u8bfe\u540e\u4e60\u9898 R.I.P Prof. David MacKay","title":"The Information Theory, Patter Recognition, and Neural Networks"},{"location":"%E6%95%B0%E5%AD%A6%E8%BF%9B%E9%98%B6/The_Information_Theory_Pattern_Recognition_and_Neural_Networks/#the-information-theory-patter-recognition-and-neural-networks","text":"","title":"The Information Theory, Patter Recognition, and Neural Networks"},{"location":"%E6%95%B0%E5%AD%A6%E8%BF%9B%E9%98%B6/The_Information_Theory_Pattern_Recognition_and_Neural_Networks/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aCambridge \u5148\u4fee\u8981\u6c42\uff1aCalculus, Linear Algebra, Probabilities and Statistics \u7f16\u7a0b\u8bed\u8a00\uff1aAnything would be OK, Python preferred \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a30-50 \u5c0f\u65f6 \u5251\u6865\u5927\u5b66 Sir David MacKay \u6559\u6388\u7684\u4fe1\u606f\u8bba\u8bfe\u7a0b\u3002\u6559\u6388\u662f\u4e00\u4f4d\u5341\u5206\u7cbe\u901a\u4fe1\u606f\u8bba\u4e0e\u795e\u7ecf\u7f51\u7edc\u7684\u5b66\u8005\uff0c\u8bfe\u7a0b\u5bf9\u5e94\u6559\u6750\u4e5f\u662f\u4fe1\u606f\u8bba\u9886\u57df\u7684\u4e00\u90e8\u7ecf\u5178\u8457\u4f5c\u3002\u53ef\u60dc\u5929\u5992\u82f1\u624d...","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%95%B0%E5%AD%A6%E8%BF%9B%E9%98%B6/The_Information_Theory_Pattern_Recognition_and_Neural_Networks/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a http://www.inference.org.uk/mackay/itila/ \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.bilibili.com/video/BV1rs411T71e \u8bfe\u7a0b\u6559\u6750\uff1aInformation Theory, Inference, and Learning Algorithms \u5728\u8bfe\u7a0b\u7f51\u7ad9\u53ef\u4ee5\u4e0b\u8f7d\u5230\u514d\u8d39\u7684\u7535\u5b50\u7248 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\u8bfe\u7a0b\u7f51\u7ad9\uff1a http://stanford.edu/class/ee364a/index.html \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.bilibili.com/video/BV1aD4y1Q7aW \u8bfe\u7a0b\u6559\u6750\uff1a Convex Optimization \u8bfe\u7a0b\u4f5c\u4e1a\uff1a9 \u4e2a Python \u7f16\u7a0b\u4f5c\u4e1a \u8d44\u6e90\u6c47\u603b @PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/Standford_CVX101 - GitHub \u4e2d\u3002","title":"Standford EE364A: Convex Optimization"},{"location":"%E6%95%B0%E5%AD%A6%E8%BF%9B%E9%98%B6/convex/#stanford-ee364a-convex-optimization","text":"","title":"Stanford EE364A: Convex Optimization"},{"location":"%E6%95%B0%E5%AD%A6%E8%BF%9B%E9%98%B6/convex/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1aPython\uff0c\u5fae\u79ef\u5206\uff0c\u7ebf\u6027\u4ee3\u6570\uff0c\u6982\u7387\u8bba\uff0c\u6570\u503c\u5206\u6790 \u7f16\u7a0b\u8bed\u8a00\uff1aPython \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a150 \u5c0f\u65f6 Stephen Boyd \u6559\u6388\u662f\u51f8\u4f18\u5316\u9886\u57df\u7684\u5927\u725b\uff0c\u5176\u7f16\u5199\u7684 Convex Optimization \u8fd9\u672c\u6559\u6750\u88ab\u4f17\u591a\u540d\u6821\u91c7\u7528\u3002\u53e6\u5916\u5176\u7814\u7a76\u56e2\u961f\u8fd8\u4e13\u95e8\u5f00\u53d1\u4e86\u4e00\u4e2a\u7528\u4e8e\u6c42\u89e3\u5e38\u89c1\u51f8\u4f18\u5316\u95ee\u9898\u7684\u7f16\u7a0b\u6846\u67b6\uff0c\u652f\u6301 Python, Julia \u7b49\u4e3b\u6d41\u7f16\u7a0b\u8bed\u8a00\uff0c\u5176\u8bfe\u7a0b\u4f5c\u4e1a\u4e5f\u662f\u91c7\u7528\u8fd9\u4e2a\u7f16\u7a0b\u6846\u67b6\u53bb\u89e3\u51b3\u5b9e\u9645\u751f\u6d3b\u5f53\u4e2d\u7684\u51f8\u4f18\u5316\u95ee\u9898\u3002 \u5728\u5b9e\u9645\u8fd0\u7528\u5f53\u4e2d\uff0c\u4f60\u4f1a\u6df1\u523b\u4f53\u4f1a\u5230\u5bf9\u4e8e\u540c\u4e00\u4e2a\u95ee\u9898\uff0c\u5efa\u6a21\u8fc7\u7a0b\u4e2d\u4e00\u4e2a\u7ec6\u5c0f\u7684\u6539\u53d8\uff0c\u5176\u65b9\u7a0b\u7684\u6c42\u89e3\u96be\u5ea6\u4f1a\u6709\u5929\u58e4\u4e4b\u522b\uff0c\u5982\u4f55\u8ba9\u4f60\u5efa\u6a21\u7684\u65b9\u7a0b\u662f\u201c\u51f8\u201d\u7684\uff0c\u662f\u4e00\u95e8\u827a\u672f\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%95%B0%E5%AD%A6%E8%BF%9B%E9%98%B6/convex/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a http://stanford.edu/class/ee364a/index.html \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.bilibili.com/video/BV1aD4y1Q7aW \u8bfe\u7a0b\u6559\u6750\uff1a Convex Optimization \u8bfe\u7a0b\u4f5c\u4e1a\uff1a9 \u4e2a Python \u7f16\u7a0b\u4f5c\u4e1a","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E6%95%B0%E5%AD%A6%E8%BF%9B%E9%98%B6/convex/#_3","text":"@PKUFlyingPig 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Join\uff0c\u7edf\u8ba1\u4fe1\u606f\u4ee5\u53ca\u4ee3\u4ef7\u4f30\u8ba1\uff0c\u5b50\u67e5\u8be2\u5b9e\u73b0\uff0cAgg\uff0cGroup By \u7684\u5b9e\u73b0\u7b49\u3002\u9664\u6b64\u4e4b\u5916\uff0c\u8fd8\u6709 B+\u6811\uff0cWAL \u76f8\u5173\u5b9e\u9a8c\u3002\u672c\u95e8\u8bfe\u7a0b\u9002\u5408\u5728\u5b66\u5b8c CMU15-445 \u8bfe\u7a0b\u4e4b\u540e\uff0c\u5bf9\u67e5\u8be2\u4f18\u5316\u76f8\u5173\u5185\u5bb9\u6709\u5174\u8da3\u7684\u540c\u5b66\u3002 \u4e0b\u9762\u4ecb\u7ecd\u4e00\u4e0b\u8fd9\u95e8\u8bfe\u7684\u524d 3 \u4e2a Assignment \u4e5f\u5c31\u662f\u5b9e\u9a8c Lab \u6240\u8981\u5b9e\u73b0\u7684\u529f\u80fd\uff1a Assignment1 \u4e3a NanoDB \u63d0\u4f9b delete\uff0cupdate \u8bed\u53e5\u7684\u652f\u6301\u3002 \u4e3a Buffer Pool Manager \u6dfb\u52a0\u5408\u9002\u7684 pin/unpin \u4ee3\u7801\u3002 \u63d0\u5347 insert \u8bed\u53e5\u7684\u6027\u80fd\uff0c \u540c\u65f6\u4e0d\u4f7f\u6570\u636e\u5e93\u6587\u4ef6\u5927\u5c0f\u8fc7\u5206\u81a8\u80c0\u3002 Assignment2 \u5b9e\u73b0\u4e00\u4e2a\u7b80\u5355\u7684\u8ba1\u5212\u751f\u6210\u5668\uff0c\u5c06\u5404\u79cd\u5df2\u7ecf Parser \u8fc7\u7684 SQL \u8bed\u53e5\u8f6c\u5316\u4e3a\u53ef\u6267\u884c\u7684\u6267\u884c\u8ba1\u5212\u3002 \u4f7f\u7528 nested-loop join \u7b97\u6cd5\uff0c\u5b9e\u73b0\u652f\u6301 inner- and outer-join \u7684 Join \u8ba1\u5212\u8282\u70b9\u3002 \u6dfb\u52a0\u4e00\u4e9b\u5355\u5143\u6d4b\u8bd5\uff0c \u4fdd\u8bc1 inner- and outer-join \u529f\u80fd\u5b9e\u73b0\u6b63\u786e\u3002 Assignment3 \u5b8c\u6210\u6536\u96c6\u8868\u7684\u7edf\u8ba1\u4fe1\u606f\u3002 \u5b8c\u6210\u5404\u79cd\u8ba1\u5212\u8282\u70b9\u7684\u8ba1\u5212\u6210\u672c\u8ba1\u7b97\u3002 \u8ba1\u7b97\u53ef\u51fa\u73b0\u5728\u6267\u884c\u8ba1\u5212\u4e2d\u7684\u5404\u79cd\u8c13\u8bcd\u7684\u9009\u62e9\u6027\u3002 \u6839\u636e\u8c13\u8bcd\u66f4\u65b0\u8ba1\u5212\u8282\u70b9\u8f93\u51fa\u7684\u5143\u7ec4\u7edf\u8ba1\u4fe1\u606f\u3002 \u5269\u4f59 Assignment \u548c Challenges \u53ef\u4ee5\u67e5\u770b\u8bfe\u7a0b\u4ecb\u7ecd\uff0c\u63a8\u8350\u4f7f\u7528 IDEA \u6253\u5f00\u5de5\u7a0b\uff0cMaven \u6784\u5efa\uff0c\u6ce8\u610f\u65e5\u5fd7\u76f8\u5173\u914d\u7f6e\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a http://courses.cms.caltech.edu/cs122/ \u8bfe\u7a0b\u4ee3\u7801\uff1a https://gitlab.caltech.edu/cs122-19wi \u8bfe\u7a0b\u6559\u6750\uff1a\u65e0 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a7 Assignments + 2 Challenges","title":"Caltech CS122: Database System Implementation"},{"location":"%E6%95%B0%E6%8D%AE%E5%BA%93%E7%B3%BB%E7%BB%9F/CS122/#caltech-cs-122-database-system-implementation","text":"","title":"Caltech CS 122: Database System Implementation"},{"location":"%E6%95%B0%E6%8D%AE%E5%BA%93%E7%B3%BB%E7%BB%9F/CS122/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aCaltech \u5148\u4fee\u8981\u6c42\uff1a\u65e0 \u7f16\u7a0b\u8bed\u8a00\uff1aJava \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f 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\u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a80 \u5c0f\u65f6 \u4f2f\u514b\u5229\u7684\u6570\u636e\u79d1\u5b66\u5165\u95e8\u8bfe\u7a0b\uff0c\u5185\u5bb9\u76f8\u5bf9\u57fa\u7840\uff0c\u8986\u76d6\u4e86\u6570\u636e\u6e05\u6d17\u3001\u7279\u5f81\u63d0\u53d6\u3001\u6570\u636e\u53ef\u89c6\u5316\u4ee5\u53ca\u673a\u5668\u5b66\u4e60\u548c\u63a8\u7406\u7684\u57fa\u7840\u5185\u5bb9\uff0c\u4e5f\u4f1a\u8bb2\u6388 Pandas, Numpy, Matplotlib \u7b49\u6570\u636e\u79d1\u5b66\u5e38\u7528\u5de5\u5177\u3002\u5176\u4e30\u5bcc\u6709\u8da3\u7684\u7f16\u7a0b\u4f5c\u4e1a\u4e5f\u662f\u8fd9\u95e8\u8bfe\u7684\u4e00\u5927\u4eae\u70b9\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6/Data100/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a https://ds100.org/fa21/ \u8bfe\u7a0b\u89c6\u9891\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9 \u8bfe\u7a0b\u6559\u6750\uff1a https://www.textbook.ds100.org/intro.html 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\u4ee5\u53ca\u7f51\u7edc\u6d41\u7b97\u6cd5\u90fd\u662f\u5728\u8fd9\u95e8\u8bfe\u4e0a\u8ba9\u6211\u8305\u585e\u987f\u5f00\u7684\uff0c\u65f6\u9694\u4e24\u5e74\u6211\u751a\u81f3\u8fd8\u80fd\u5199\u51fa\u8fd9\u4e24\u4e2a\u7b97\u6cd5\u7684\u63a8\u5bfc\u4e0e\u8bc1\u660e\u3002 \u4f60\u662f\u5426\u89c9\u5f97\u7b97\u6cd5\u5b66\u4e86\u5c31\u5fd8\u5462\uff1f\u6211\u89c9\u5f97\u8ba9\u4f60\u5b8c\u5168\u638c\u63e1\u4e00\u4e2a\u7b97\u6cd5\u7684\u6838\u5fc3\u5728\u4e8e\u7406\u89e3\u4e09\u70b9\uff1a \u4e3a\u4ec0\u4e48\u8fd9\u4e48\u505a\uff1f\uff08\u6b63\u786e\u6027\u63a8\u5bfc\uff0c\u6291\u6216\u662f\u6574\u4e2a\u7b97\u6cd5\u7684\u6838\u5fc3\u672c\u8d28\uff09 \u5982\u4f55\u5b9e\u73b0\u5b83\uff1f\uff08\u5149\u5b66\u4e0d\u7528\u5047\u628a\u5f0f\uff09 \u7528\u5b83\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\uff08\u5b66\u4ee5\u81f4\u7528\u624d\u662f\u771f\u672c\u4e8b\uff09 \u8fd9\u95e8\u8bfe\u7684\u6784\u6210\u5c31\u975e\u5e38\u597d\u5730\u5951\u5408\u4e86\u4e0a\u8ff0\u4e09\u4e2a\u6b65\u9aa4\u3002\u89c2\u770b\u8bfe\u7a0b\u89c6\u9891\u5e76\u4e14\u9605\u8bfb\u6559\u6388\u7684 \u5f00\u6e90\u8bfe\u672c \u6709\u52a9\u4e8e\u4f60\u7406\u89e3\u7b97\u6cd5\u7684\u672c\u8d28\uff0c\u8ba9\u4f60\u4e5f\u53ef\u4ee5\u7528\u975e\u5e38 \u751f\u52a8\u6d45\u663e\u7684\u8bdd\u8bed\u5411\u522b\u4eba\u8bb2\u8ff0\u4e3a\u4ec0\u4e48\u8fd9\u4e2a\u7b97\u6cd5\u5f97\u957f\u8fd9\u4e2a\u6837\u5b50\u3002 \u5728\u7406\u89e3\u7b97\u6cd5\u4e4b\u540e\uff0c\u4f60\u53ef\u4ee5\u9605\u8bfb\u6559\u6388\u5bf9\u4e8e\u8bfe\u7a0b\u4e2d\u8bb2\u6388\u7684\u6240\u6709\u6570\u636e\u7ed3\u6784\u4e0e\u7b97\u6cd5\u7684 \u4ee3\u7801\u5b9e\u73b0 \u3002 \u6ce8\u610f\uff0c\u8fd9\u4e9b\u5b9e\u73b0\u53ef\u4e0d\u662f demo \u6027\u8d28\u7684\uff0c\u800c\u662f\u5de5\u4e1a\u7ea7\u7684\u9ad8\u6548\u5b9e\u73b0\uff0c\u4ece\u6ce8\u91ca\u5230\u53d8\u91cf\u547d\u540d\u90fd\u975e\u5e38\u4e25\u8c28\uff0c\u6a21\u5757\u5316\u4e5f\u505a\u5f97\u76f8\u5f53\u597d\uff0c\u662f\u8d28\u91cf\u5f88\u9ad8\u7684\u4ee3\u7801\u3002\u6211\u4ece\u8fd9\u4e9b\u4ee3\u7801\u4e2d\u6536\u83b7\u826f\u591a\u3002 \u6700\u540e\uff0c\u5c31\u662f\u8fd9\u95e8\u8bfe\u6700\u6fc0\u52a8\u4eba\u5fc3\u7684\u90e8\u5206\u4e86\uff0c10 \u4e2a\u9ad8\u8d28\u91cf\u7684 Project\uff0c\u5e76\u4e14\u5168\u90fd\u6709\u5b9e\u9645\u95ee\u9898\u7684\u80cc\u666f\u63cf\u8ff0\uff0c\u4e30\u5bcc\u7684\u6d4b\u8bd5\u6837\u4f8b\uff0c\u81ea\u52a8\u7684\u8bc4\u5206\u7cfb\u7edf\uff08\u4ee3\u7801\u98ce\u683c\u4e5f\u662f\u8bc4\u5206\u7684\u4e00\u73af\uff09\u3002\u8ba9\u4f60\u5728\u5b9e\u9645\u751f\u6d3b\u4e2d \u9886\u7565\u7b97\u6cd5\u7684\u9b45\u529b\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a Algorithm I , Algorithm II \u8bfe\u7a0b\u89c6\u9891\uff1a\u8be6\u89c1\u8bfe\u7a0b\u7f51\u7ad9 \u8bfe\u7a0b\u6559\u6750\uff1a https://algs4.cs.princeton.edu/home/ \u8bfe\u7a0b\u4f5c\u4e1a\uff1a10\u4e2aProject\uff0c\u5177\u4f53\u8981\u6c42\u8be6\u89c1\u8bfe\u7a0b\u7f51\u7ad9 \u8d44\u6e90\u6c47\u603b @PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/Princeton-Algorithm - GitHub \u4e2d\u3002","title":"Coursera: Algorithms I & II"},{"location":"%E6%95%B0%E6%8D%AE%E7%BB%93%E6%9E%84%E4%B8%8E%E7%AE%97%E6%B3%95/Algo/#coursera-algorithms-i-ii","text":"","title":"Coursera: Algorithms I & II"},{"location":"%E6%95%B0%E6%8D%AE%E7%BB%93%E6%9E%84%E4%B8%8E%E7%AE%97%E6%B3%95/Algo/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aPrinceton \u5148\u4fee\u8981\u6c42\uff1aCS61A \u7f16\u7a0b\u8bed\u8a00\uff1aJava \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a60 \u5c0f\u65f6 \u8fd9\u662f Coursera \u4e0a\u8bc4\u5206\u6700\u9ad8\u7684\u7b97\u6cd5\u8bfe\u7a0b\u3002Robert Sedgewick \u6559\u6388\u6709\u4e00\u79cd\u9b54\u529b\uff0c\u53ef\u4ee5\u5c06\u65e0\u8bba\u591a\u4e48\u590d\u6742\u7684\u7b97\u6cd5\u8bb2\u5f97\u6781\u4e3a\u751f\u52a8\u6d45\u663e\u3002\u5b9e\u4e0d\u76f8\u7792\uff0c\u56f0\u6270\u6211\u591a\u5e74\u7684 KMP \u4ee5\u53ca\u7f51\u7edc\u6d41\u7b97\u6cd5\u90fd\u662f\u5728\u8fd9\u95e8\u8bfe\u4e0a\u8ba9\u6211\u8305\u585e\u987f\u5f00\u7684\uff0c\u65f6\u9694\u4e24\u5e74\u6211\u751a\u81f3\u8fd8\u80fd\u5199\u51fa\u8fd9\u4e24\u4e2a\u7b97\u6cd5\u7684\u63a8\u5bfc\u4e0e\u8bc1\u660e\u3002 \u4f60\u662f\u5426\u89c9\u5f97\u7b97\u6cd5\u5b66\u4e86\u5c31\u5fd8\u5462\uff1f\u6211\u89c9\u5f97\u8ba9\u4f60\u5b8c\u5168\u638c\u63e1\u4e00\u4e2a\u7b97\u6cd5\u7684\u6838\u5fc3\u5728\u4e8e\u7406\u89e3\u4e09\u70b9\uff1a \u4e3a\u4ec0\u4e48\u8fd9\u4e48\u505a\uff1f\uff08\u6b63\u786e\u6027\u63a8\u5bfc\uff0c\u6291\u6216\u662f\u6574\u4e2a\u7b97\u6cd5\u7684\u6838\u5fc3\u672c\u8d28\uff09 \u5982\u4f55\u5b9e\u73b0\u5b83\uff1f\uff08\u5149\u5b66\u4e0d\u7528\u5047\u628a\u5f0f\uff09 \u7528\u5b83\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\uff08\u5b66\u4ee5\u81f4\u7528\u624d\u662f\u771f\u672c\u4e8b\uff09 \u8fd9\u95e8\u8bfe\u7684\u6784\u6210\u5c31\u975e\u5e38\u597d\u5730\u5951\u5408\u4e86\u4e0a\u8ff0\u4e09\u4e2a\u6b65\u9aa4\u3002\u89c2\u770b\u8bfe\u7a0b\u89c6\u9891\u5e76\u4e14\u9605\u8bfb\u6559\u6388\u7684 \u5f00\u6e90\u8bfe\u672c \u6709\u52a9\u4e8e\u4f60\u7406\u89e3\u7b97\u6cd5\u7684\u672c\u8d28\uff0c\u8ba9\u4f60\u4e5f\u53ef\u4ee5\u7528\u975e\u5e38 \u751f\u52a8\u6d45\u663e\u7684\u8bdd\u8bed\u5411\u522b\u4eba\u8bb2\u8ff0\u4e3a\u4ec0\u4e48\u8fd9\u4e2a\u7b97\u6cd5\u5f97\u957f\u8fd9\u4e2a\u6837\u5b50\u3002 \u5728\u7406\u89e3\u7b97\u6cd5\u4e4b\u540e\uff0c\u4f60\u53ef\u4ee5\u9605\u8bfb\u6559\u6388\u5bf9\u4e8e\u8bfe\u7a0b\u4e2d\u8bb2\u6388\u7684\u6240\u6709\u6570\u636e\u7ed3\u6784\u4e0e\u7b97\u6cd5\u7684 \u4ee3\u7801\u5b9e\u73b0 \u3002 \u6ce8\u610f\uff0c\u8fd9\u4e9b\u5b9e\u73b0\u53ef\u4e0d\u662f demo \u6027\u8d28\u7684\uff0c\u800c\u662f\u5de5\u4e1a\u7ea7\u7684\u9ad8\u6548\u5b9e\u73b0\uff0c\u4ece\u6ce8\u91ca\u5230\u53d8\u91cf\u547d\u540d\u90fd\u975e\u5e38\u4e25\u8c28\uff0c\u6a21\u5757\u5316\u4e5f\u505a\u5f97\u76f8\u5f53\u597d\uff0c\u662f\u8d28\u91cf\u5f88\u9ad8\u7684\u4ee3\u7801\u3002\u6211\u4ece\u8fd9\u4e9b\u4ee3\u7801\u4e2d\u6536\u83b7\u826f\u591a\u3002 \u6700\u540e\uff0c\u5c31\u662f\u8fd9\u95e8\u8bfe\u6700\u6fc0\u52a8\u4eba\u5fc3\u7684\u90e8\u5206\u4e86\uff0c10 \u4e2a\u9ad8\u8d28\u91cf\u7684 Project\uff0c\u5e76\u4e14\u5168\u90fd\u6709\u5b9e\u9645\u95ee\u9898\u7684\u80cc\u666f\u63cf\u8ff0\uff0c\u4e30\u5bcc\u7684\u6d4b\u8bd5\u6837\u4f8b\uff0c\u81ea\u52a8\u7684\u8bc4\u5206\u7cfb\u7edf\uff08\u4ee3\u7801\u98ce\u683c\u4e5f\u662f\u8bc4\u5206\u7684\u4e00\u73af\uff09\u3002\u8ba9\u4f60\u5728\u5b9e\u9645\u751f\u6d3b\u4e2d \u9886\u7565\u7b97\u6cd5\u7684\u9b45\u529b\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%95%B0%E6%8D%AE%E7%BB%93%E6%9E%84%E4%B8%8E%E7%AE%97%E6%B3%95/Algo/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a Algorithm I , Algorithm II \u8bfe\u7a0b\u89c6\u9891\uff1a\u8be6\u89c1\u8bfe\u7a0b\u7f51\u7ad9 \u8bfe\u7a0b\u6559\u6750\uff1a https://algs4.cs.princeton.edu/home/ \u8bfe\u7a0b\u4f5c\u4e1a\uff1a10\u4e2aProject\uff0c\u5177\u4f53\u8981\u6c42\u8be6\u89c1\u8bfe\u7a0b\u7f51\u7ad9","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E6%95%B0%E6%8D%AE%E7%BB%93%E6%9E%84%E4%B8%8E%E7%AE%97%E6%B3%95/Algo/#_3","text":"@PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/Princeton-Algorithm - GitHub \u4e2d\u3002","title":"\u8d44\u6e90\u6c47\u603b"},{"location":"%E6%95%B0%E6%8D%AE%E7%BB%93%E6%9E%84%E4%B8%8E%E7%AE%97%E6%B3%95/CS170/","text":"CS170: Efficient Algorithms and Intractable Problems \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aUC Berkeley \u5148\u4fee\u8981\u6c42\uff1aCS61B, CS70 \u7f16\u7a0b\u8bed\u8a00\uff1aLaTeX \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a60 \u5c0f\u65f6 \u4f2f\u514b\u5229\u7684\u7b97\u6cd5\u8bbe\u8ba1\u8bfe\uff0c\u66f4\u6ce8\u91cd\u7b97\u6cd5\u7684\u7406\u8bba\u57fa\u7840\u4e0e\u590d\u6742\u5ea6\u5206\u6790\u3002\u8bfe\u7a0b\u5185\u5bb9\u6db5\u76d6\u4e86\u5206\u6cbb\u3001\u56fe\u7b97\u6cd5\u3001\u6700\u77ed\u8def\u3001\u751f\u6210\u6811\u3001\u8d2a\u5fc3\u3001\u52a8\u89c4\u3001\u5e76\u67e5\u96c6\u3001\u7ebf\u6027\u89c4\u5212\u3001\u7f51\u7edc\u6d41\u3001NP \u95ee\u9898\u3001\u968f\u673a\u7b97\u6cd5\u3001\u54c8\u5e0c\u7b97\u6cd5\u7b49\u7b49\u3002 \u8fd9\u95e8\u8bfe\u7684\u6559\u6750\u5199\u7684\u5f88\u597d\uff0c\u8bc1\u660e\u6d45\u663e\u6613\u61c2\uff0c\u975e\u5e38\u9002\u5408\u4f5c\u4e3a\u5de5\u5177\u4e66\u67e5\u9605\u3002\u53e6\u5916\uff0c\u8fd9\u95e8\u8bfe\u53ea\u6709\u4e66\u9762\u4f5c\u4e1a\uff0c\u5e76\u4e14\u63a8\u8350\u7528 LaTeX \u7f16\u5199\uff0c\u5927\u5bb6\u53ef\u4ee5\u501f\u6b64\u673a\u4f1a\u953b\u70bc\u81ea\u5df1\u7684 LaTeX \u6280\u5de7\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://cs170.org/ \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.bilibili.com/video/BV1BU4y1b7RK \u8bfe\u7a0b\u6559\u6750\uff1a\u8be6\u89c1\u8bfe\u7a0b\u7f51\u7ad9 notes \u8bfe\u7a0b\u4f5c\u4e1a\uff1a13 \u6b21\u4e66\u9762\u4f5c\u4e1a\uff0c\u7528 LaTeX \u7f16\u5199 \u8d44\u6e90\u6c47\u603b @PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/UCB-CS170 - GitHub \u4e2d\u3002","title":"UCB CS170: Efficient Algorithms 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\u5b66\u751f\u7684\u5728\u7ebf\u7248\u672c\uff0c9\u670813\u65e5\u6b63\u5f0f\u6388\u8bfe\uff0c\u4f5c\u8005\u6301\u7eed\u8ddf\u8fdb\u4e2d\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%B3%BB%E7%BB%9F/MLSys/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a https://dlsyscourse.org \u8bfe\u7a0b\u89c6\u9891\uff1aN/A \u8bfe\u7a0b\u6559\u6750\uff1aN/A \u8bfe\u7a0b\u4f5c\u4e1a\uff1aTBA","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%B3%BB%E7%BB%9F/MLSys/#_3","text":"TBA","title":"\u8d44\u6e90\u6c47\u603b"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/CMU10-708/","text":"CMU 10-708: Probabilistic Graphical Models \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aCMU \u5148\u4fee\u8981\u6c42\uff1aMachine Learning, Deep Learning, Reinforcement Learning \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://sailinglab.github.io/pgm-spring-2019/ \u8fd9\u4e2a\u7f51\u7ad9\u5305\u542b\u4e86\u6240\u6709\u7684\u8d44\u6e90\uff1aslides, nots, video, homework, project \u8fd9\u95e8\u8bfe\u7a0b\u662f CMU \u7684\u56fe\u6a21\u578b\u57fa\u7840 + \u8fdb\u9636\u8bfe\uff0c\u6388\u8bfe\u8001\u5e08\u4e3a Eric P. Xing\uff0c\u6db5\u76d6\u4e86\u56fe\u6a21\u578b\u57fa\u7840\uff0c\u4e0e\u795e\u7ecf\u7f51\u7edc\u7684\u7ed3\u5408\uff0c\u5728\u5f3a\u5316\u5b66\u4e60\u4e2d\u7684\u5e94\u7528\uff0c\u4ee5\u53ca\u975e\u53c2\u6570\u65b9\u6cd5\u3002\u76f8\u5f53\u786c\u6838","title":"CMU 10-708: Probabilistic Graphical Models"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/CMU10-708/#cmu-10-708-probabilistic-graphical-models","text":"","title":"CMU 10-708: Probabilistic Graphical Models"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/CMU10-708/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aCMU \u5148\u4fee\u8981\u6c42\uff1aMachine Learning, Deep Learning, Reinforcement Learning \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://sailinglab.github.io/pgm-spring-2019/ \u8fd9\u4e2a\u7f51\u7ad9\u5305\u542b\u4e86\u6240\u6709\u7684\u8d44\u6e90\uff1aslides, nots, video, homework, project \u8fd9\u95e8\u8bfe\u7a0b\u662f CMU \u7684\u56fe\u6a21\u578b\u57fa\u7840 + \u8fdb\u9636\u8bfe\uff0c\u6388\u8bfe\u8001\u5e08\u4e3a Eric P. Xing\uff0c\u6db5\u76d6\u4e86\u56fe\u6a21\u578b\u57fa\u7840\uff0c\u4e0e\u795e\u7ecf\u7f51\u7edc\u7684\u7ed3\u5408\uff0c\u5728\u5f3a\u5316\u5b66\u4e60\u4e2d\u7684\u5e94\u7528\uff0c\u4ee5\u53ca\u975e\u53c2\u6570\u65b9\u6cd5\u3002\u76f8\u5f53\u786c\u6838","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/CS229M/","text":"STATS214 / CS229M: Machine Learning Theory \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1aMachine Learning, Deep Learning, Statistics \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u8bfe\u7a0b\u7f51\u7ad9\uff1a http://web.stanford.edu/class/stats214/ \u7ecf\u5178\u5b66\u4e60\u7406\u8bba + \u6700\u65b0\u6df1\u5ea6\u5b66\u4e60\u7406\u8bba\uff0c\u975e\u5e38\u786c\u6838\u3002\u6388\u8bfe\u8001\u5e08\u4e4b\u524d\u662f Percy Liang\uff0c\u73b0\u5728\u662f Tengyu Ma","title":"Stanford STATS214 / CS229M: Machine Learning Theory"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/CS229M/#stats214-cs229m-machine-learning-theory","text":"","title":"STATS214 / CS229M: Machine Learning Theory"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/CS229M/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1aMachine Learning, Deep Learning, Statistics \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u8bfe\u7a0b\u7f51\u7ad9\uff1a http://web.stanford.edu/class/stats214/ \u7ecf\u5178\u5b66\u4e60\u7406\u8bba + \u6700\u65b0\u6df1\u5ea6\u5b66\u4e60\u7406\u8bba\uff0c\u975e\u5e38\u786c\u6838\u3002\u6388\u8bfe\u8001\u5e08\u4e4b\u524d\u662f Percy Liang\uff0c\u73b0\u5728\u662f Tengyu Ma","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/STA4273/","text":"STA 4273 Winter 2021: Minimizing Expectations \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aU Toronto \u5148\u4fee\u8981\u6c42\uff1aBayesian Inference, Reinforcement Learning \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://www.cs.toronto.edu/~cmaddis/courses/sta4273_w21/ \u8fd9\u662f\u4e00\u95e8\u8f83\u4e3a\u8fdb\u9636\u7684 Ph.D. \u7814\u7a76\u8bfe\u7a0b\uff0c\u6838\u5fc3\u5185\u5bb9\u662f inference \u548c control \u4e4b\u95f4\u7684\u5173\u7cfb\u3002\u6388\u8bfe\u8001\u5e08\u4e3a Chris Maddison (AlphaGo founding member, NeurIPS 14 best paper)","title":"U Toronto STA 4273 Winter 2021: Minimizing Expectations"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/STA4273/#sta-4273-winter-2021-minimizing-expectations","text":"","title":"STA 4273 Winter 2021: Minimizing Expectations"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/STA4273/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aU Toronto \u5148\u4fee\u8981\u6c42\uff1aBayesian Inference, Reinforcement Learning \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://www.cs.toronto.edu/~cmaddis/courses/sta4273_w21/ \u8fd9\u662f\u4e00\u95e8\u8f83\u4e3a\u8fdb\u9636\u7684 Ph.D. \u7814\u7a76\u8bfe\u7a0b\uff0c\u6838\u5fc3\u5185\u5bb9\u662f inference \u548c control \u4e4b\u95f4\u7684\u5173\u7cfb\u3002\u6388\u8bfe\u8001\u5e08\u4e3a Chris Maddison (AlphaGo founding member, NeurIPS 14 best paper)","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/STAT8201/","text":"Columbia STAT 8201: Deep Generative Models \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aColumbia University \u5148\u4fee\u8981\u6c42\uff1aMachine Learning, Deep Learning, Graphical Models \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u8bfe\u7a0b\u7f51\u7ad9\uff1a http://stat.columbia.edu/~cunningham/teaching/GR8201/ \u8fd9\u95e8\u8bfe\u662f\u4e00\u95e8 PhD \u8ba8\u8bba\u73ed\uff0c\u6bcf\u5468\u7684\u5185\u5bb9\u662f\u5c55\u793a + \u8ba8\u8bba\u8bba\u6587\uff0c\u6388\u8bfe\u8001\u5e08\u662f John Cunningham\u3002Deep Generative Models \uff08\u6df1\u5ea6\u751f\u6210\u6a21\u578b\uff09 \u662f\u56fe\u6a21\u578b\u4e0e\u795e\u7ecf\u7f51\u7edc\u7684\u7ed3\u5408\uff0c\u4e5f\u662f\u73b0\u4ee3\u673a\u5668\u5b66\u4e60\u6700\u91cd\u8981\u7684\u65b9\u5411\u4e4b\u4e00","title":"Columbia STAT 8201: Deep Generative Models"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/STAT8201/#columbia-stat-8201-deep-generative-models","text":"","title":"Columbia STAT 8201: Deep Generative Models"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/STAT8201/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aColumbia University \u5148\u4fee\u8981\u6c42\uff1aMachine Learning, Deep Learning, Graphical Models \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u8bfe\u7a0b\u7f51\u7ad9\uff1a http://stat.columbia.edu/~cunningham/teaching/GR8201/ \u8fd9\u95e8\u8bfe\u662f\u4e00\u95e8 PhD \u8ba8\u8bba\u73ed\uff0c\u6bcf\u5468\u7684\u5185\u5bb9\u662f\u5c55\u793a + \u8ba8\u8bba\u8bba\u6587\uff0c\u6388\u8bfe\u8001\u5e08\u662f John Cunningham\u3002Deep Generative Models \uff08\u6df1\u5ea6\u751f\u6210\u6a21\u578b\uff09 \u662f\u56fe\u6a21\u578b\u4e0e\u795e\u7ecf\u7f51\u7edc\u7684\u7ed3\u5408\uff0c\u4e5f\u662f\u73b0\u4ee3\u673a\u5668\u5b66\u4e60\u6700\u91cd\u8981\u7684\u65b9\u5411\u4e4b\u4e00","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/roadmap/","text":"\u673a\u5668\u5b66\u4e60\u8fdb\u9636 \u6b64\u8def\u7ebf\u56fe\u9002\u7528\u4e8e\u5df2\u7ecf\u5b66\u8fc7\u4e86\u57fa\u7840\u673a\u5668\u5b66\u4e60 (ML, NLP, CV, RL) \u7684\u540c\u5b66 (\u9ad8\u5e74\u7ea7\u672c\u79d1\u751f\u6216\u4f4e\u5e74\u7ea7\u7814\u7a76\u751f)\uff0c\u5df2\u7ecf\u53d1\u8868\u8fc7\u81f3\u5c11\u4e00\u7bc7\u9876\u4f1a\u8bba\u6587 (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, CVPR, ICCV) \u60f3\u8981\u8d70\u673a\u5668\u5b66\u4e60\u79d1\u7814\u8def\u7ebf\u7684\u9009\u624b\u3002 \u6b64\u8def\u7ebf\u7684\u76ee\u6807\u662f\u4e3a\u8bfb\u61c2\u4e0e\u53d1\u8868\u673a\u5668\u5b66\u4e60\u9876\u4f1a\u8bba\u6587\u6253\u4e0b\u7406\u8bba\u57fa\u7840\uff0c\u7279\u522b\u662f Probabilistic Methods \u8fd9\u4e2a track \u4e0b\u7684\u6587\u7ae0 \u673a\u5668\u5b66\u4e60\u8fdb\u9636\u53ef\u80fd\u5b58\u5728\u591a\u79cd\u4e0d\u540c\u7684\u5b66\u4e60\u8def\u7ebf\uff0c\u6b64\u8def\u7ebf\u53ea\u80fd\u4ee3\u8868\u4f5c\u8005 Yao Fu \u6240\u7406\u89e3\u7684\u6700\u4f73\u8def\u5f84\uff0c\u4fa7\u91cd\u4e8e\u8d1d\u53f6\u65af\u5b66\u6d3e\u4e0b\u7684\u6982\u7387\u5efa\u6a21\u65b9\u6cd5\uff0c\u4e5f\u4f1a\u6d89\u53ca\u5230\u5404\u9879\u76f8\u5173\u5b66\u79d1\u7684\u4ea4\u53c9\u77e5\u8bc6\u3002 \u5fc5\u8bfb\u6559\u6750 PRML: Pattern Recognition and Machine Learning. Christopher Bishop \u7ecf\u5178\u8d1d\u53f6\u65af\u5b66\u6d3e\u6559\u6750 AoS: All of Statistics. Larry Wasserman \u7ecf\u5178\u9891\u7387\u5b66\u6d3e\u6559\u6750 \u6240\u4ee5\u8fd9\u4e24\u672c\u4e66\u521a\u597d\u76f8\u8f85\u76f8\u6210 \u5b57\u5178 MLAPP: Machine Learning: A Probabilistic Perspective. Kevin Murphy Convex Optimization. Stephen Boyd and Lieven Vandenberghe \u8fdb\u9636\u4e66\u7c4d W&J: Graphical Models, Exponential Families, and Variational Inference. Martin Wainwright and Michael Jordan Theory of Point Estimation. E. L. Lehmann and George Casella \u5982\u4f55\u9605\u8bfb Guidelines \u5fc5\u8bfb\u6559\u6750\u5c31\u662f\u4e00\u5b9a\u8981\u8bfb\u7684\u6559\u6750 \u5b57\u5178\u7684\u610f\u601d\u662f\uff0c\u4e00\u822c\u60c5\u51b5\u4e0b\u4e0d\u7ba1\u5b83\uff0c\u4f46\u5f53\u9047\u5230\u4e86\u4e0d\u61c2\u7684\u6982\u5ff5\u7684\u65f6\u5019\uff0c\u5c31\u53bb\u5b57\u5178\u91cc\u9762\u67e5\uff08\u800c\u4e0d\u662f\u7ef4\u57fa\u767e\u79d1\uff09 \u8fdb\u9636\u4e66\u7c4d\u5148\u4e0d\u8bfb\uff0c\u5148\u8bfb\u5b8c\u5fc5\u8bfb\u4e66\u7c4d\u3002\u5fc5\u8bfb\u4e66\u7c4d\u4e00\u822c\u90fd\u662f\u8981\u524d\u524d\u540e\u540e\u53cd\u590d\u770b\u8fc7 N \u904d\u624d\u7b97\u8bfb\u5b8c \u8bfb\u7684\u8fc7\u7a0b\u4e2d\uff0c\u6700\u91cd\u8981\u7684\u8bfb\u6cd5\u5c31\u662f\u5bf9\u6bd4\u9605\u8bfb (contrastive-comparative reading)\uff1a\u540c\u65f6\u6253\u5f00\u4e24\u672c\u4e66\u8bb2\u540c\u4e00\u4e3b\u9898\u7684\u7ae0\u8282\uff0c\u7136\u540e\u5bf9\u6bd4\u76f8\u540c\u70b9\u548c\u4e0d\u540c\u70b9\u548c\u8054\u7cfb \u8bfb\u7684\u8fc7\u7a0b\u4e2d\uff0c\u5c3d\u91cf\u53bb\u56de\u60f3\u4e4b\u524d\u8bfb\u8fc7\u7684\u8bba\u6587\uff0c\u6bd4\u8f83\u8bba\u6587\u548c\u6559\u6750\u7684\u76f8\u540c\u70b9\u4e0e\u4e0d\u540c\u70b9 \u57fa\u7840\u8def\u5f84 \u5148\u8bfb AoS \u7b2c\u516d\u7ae0: Models, Statistical Inference and Learning\uff0c\u8fd9\u4e00\u90e8\u5206\u662f\u6700\u57fa\u7840\u7684\u79d1\u666e \u7136\u540e\u8bfb PRML \u7b2c 10, 11 \u7ae0 \u7b2c 10 \u7ae0\u7684\u5185\u5bb9\u662f Variational Inference, \u7b2c 11 \u7ae0\u7684\u5185\u5bb9\u662f MCMC, \u8fd9\u4e24\u79cd\u65b9\u6cd5\u662f\u8d1d\u53f6\u65af\u63a8\u65ad\u7684\u4e24\u6761\u6700\u4e3b\u8981\u8def\u7ebf \u5982\u679c\u5728\u8bfb PRML \u7684\u8fc7\u7a0b\u4e2d\u53d1\u73b0\u6709\u4efb\u4f55\u4e0d\u61c2\u7684\u540d\u8bcd\uff0c\u5c31\u53bb\u7ffb\u524d\u9762\u7684\u7ae0\u8282\u3002\u5f88\u5927\u6982\u7387\u80fd\u591f\u5728\u7b2c 3\uff0c4 \u7ae0\u627e\u5230\u76f8\u5bf9\u5e94\u7684\u5b9a\u4e49\uff1b\u5982\u679c\u627e\u4e0d\u5230\u6216\u8005\u4e0d\u591f\u8be6\u7ec6\uff0c\u5c31\u53bb\u67e5 MLAPP AoS \u7b2c 8 \u7ae0 (Parametric Inference) \u548c\u7b2c 11 \u7ae0 (Bayesian Inference) \u4e5f\u53ef\u4ee5\u4f5c\u4e3a\u53c2\u8003\u3002\u6700\u597d\u7684\u65b9\u6cd5\u662f\u591a\u672c\u4e66\u5bf9\u6bd4\u9605\u8bfb\uff0c\u6d41\u7a0b\u5982\u4e0b \u5047\u8bbe\u6211\u5728\u8bfb PRML \u7b2c 10 \u7ae0\u7684\u65f6\u5019\u53d1\u73b0\u4e86\u4e00\u4e2a\u4e0d\u61c2\u7684\u8bcd\uff1aposterior inference \u4e8e\u662f\u6211\u5f80\u524d\u7ffb\uff0c\u7ffb\u5230\u4e86\u7b2c 3 \u7ae0 (Linear Model for Regression)\uff0c\u770b\u5230\u4e86\u6700\u7b80\u5355\u7684 posterior \u7136\u540e\u6211\u63a5\u7740\u7ffb AoS\uff0c\u7ffb\u5230\u4e86\u7b2c 11 \u7ae0\uff0c\u4e5f\u6709\u5bf9 posterior \u7684\u63cf\u8ff0 \u7136\u540e\u6211\u5bf9\u6bd4 PRML \u7b2c 10 \u7ae0\uff0c\u7b2c 3 \u7ae0\uff0cAoS \u7b2c 11 \u7ae0\uff0c\u4e09\u5904\u4e0d\u540c\u5730\u65b9\u5bf9 posterior \u7684\u89e3\u8bfb\uff0c\u6bd4\u8f83\u5176\u76f8\u540c\u70b9\u548c\u4e0d\u540c\u70b9\u548c\u8054\u7cfb \u8bfb\u5b8c PRML \u7b2c 10 \u548c 11 \u7ae0\u4e4b\u540e\uff0c\u63a5\u7740\u8bfb AoS \u7b2c 24 \u7ae0 (Simulation Methods)\uff0c\u7136\u540e\u628a\u5b83\u548c PRML \u7b2c 11 \u7ae0\u5bf9\u6bd4\u9605\u8bfb -- \u8fd9\u4fe9\u90fd\u662f\u8bb2 MCMC \u5982\u679c\u5230\u6b64\u5904\u53d1\u73b0\u8fd8\u6709\u57fa\u7840\u6982\u5ff5\u8bfb\u4e0d\u61c2\uff0c\u5c31\u56de\u5230 PRML \u7b2c 3 \u7ae0\uff0c\u628a\u5b83\u548c AoS \u7b2c 11 \u7ae0\u5bf9\u6bd4\u9605\u8bfb Again\uff0c\u5bf9\u6bd4\u9605\u8bfb\u975e\u5e38\u91cd\u8981\uff0c\u4e00\u5b9a\u8981\u628a\u4e0d\u540c\u672c\u4e66\u7684\u7c7b\u4f3c\u5185\u5bb9\u540c\u65f6\u6446\u5728\u9762\u524d\u76f8\u4e92\u5bf9\u6bd4\uff0c\u8fd9\u6837\u53ef\u4ee5\u663e\u8457\u589e\u5f3a\u8bb0\u5fc6 \u7136\u540e\u8bfb PRML \u7b2c 13 \u7ae0\uff08\u8df3\u8fc7\u7b2c 12 \u7ae0\uff09\uff0c\u8fd9\u4e00\u7ae0\u53ef\u4ee5\u548c MLAPP \u7684\u7b2c 17, 18 \u7ae0\u5bf9\u6bd4\u9605\u8bfb MLAPP \u7b2c 17 \u7ae0\u662f PRML \u7b2c 13.2 \u7ae0\u7684\u8be6\u7ec6\u7248\uff0c\u4e3b\u8981\u8bb2 HMM MLAPP \u7b2c 18 \u7ae0\u662f PRML \u7b2c 13.3 \u7ae0\u7684\u8be6\u7ec6\u7248\uff0c\u4e3b\u8981\u8bb2 LDS \u8bfb\u5b8c PRML \u7b2c 13 \u7ae0\u4e4b\u540e\uff0c\u518d\u53bb\u8bfb PRML \u7b2c 8 \u7ae0 (Graphical Models) -- \u6b64\u65f6\u8fd9\u90e8\u5206\u5e94\u8be5\u4f1a\u8bfb\u5f97\u5f88\u8f7b\u677e \u4ee5\u4e0a\u7684\u5185\u5bb9\u53ef\u4ee5\u8fdb\u4e00\u6b65\u5bf9\u7167 CMU 10-708 PGM \u8bfe\u7a0b\u6750\u6599 \u5230\u76ee\u524d\u4e3a\u6b62\uff0c\u5e94\u8be5\u80fd\u591f\u638c\u63e1 \u6982\u7387\u6a21\u578b\u7684\u57fa\u7840\u5b9a\u4e49 \u7cbe\u51c6\u63a8\u65ad - Sum-Product \u8fd1\u4f3c\u63a8\u65ad - MCMC \u8fd1\u4f3c\u63a8\u65ad - VI \u7136\u540e\u5c31\u53ef\u4ee5\u53bb\u505a\u66f4\u8fdb\u9636\u7684\u5185\u5bb9","title":"\u8fdb\u9636\u8def\u7ebf\u56fe"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/roadmap/#_1","text":"\u6b64\u8def\u7ebf\u56fe\u9002\u7528\u4e8e\u5df2\u7ecf\u5b66\u8fc7\u4e86\u57fa\u7840\u673a\u5668\u5b66\u4e60 (ML, NLP, CV, RL) \u7684\u540c\u5b66 (\u9ad8\u5e74\u7ea7\u672c\u79d1\u751f\u6216\u4f4e\u5e74\u7ea7\u7814\u7a76\u751f)\uff0c\u5df2\u7ecf\u53d1\u8868\u8fc7\u81f3\u5c11\u4e00\u7bc7\u9876\u4f1a\u8bba\u6587 (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, CVPR, ICCV) \u60f3\u8981\u8d70\u673a\u5668\u5b66\u4e60\u79d1\u7814\u8def\u7ebf\u7684\u9009\u624b\u3002 \u6b64\u8def\u7ebf\u7684\u76ee\u6807\u662f\u4e3a\u8bfb\u61c2\u4e0e\u53d1\u8868\u673a\u5668\u5b66\u4e60\u9876\u4f1a\u8bba\u6587\u6253\u4e0b\u7406\u8bba\u57fa\u7840\uff0c\u7279\u522b\u662f Probabilistic Methods \u8fd9\u4e2a track \u4e0b\u7684\u6587\u7ae0 \u673a\u5668\u5b66\u4e60\u8fdb\u9636\u53ef\u80fd\u5b58\u5728\u591a\u79cd\u4e0d\u540c\u7684\u5b66\u4e60\u8def\u7ebf\uff0c\u6b64\u8def\u7ebf\u53ea\u80fd\u4ee3\u8868\u4f5c\u8005 Yao Fu \u6240\u7406\u89e3\u7684\u6700\u4f73\u8def\u5f84\uff0c\u4fa7\u91cd\u4e8e\u8d1d\u53f6\u65af\u5b66\u6d3e\u4e0b\u7684\u6982\u7387\u5efa\u6a21\u65b9\u6cd5\uff0c\u4e5f\u4f1a\u6d89\u53ca\u5230\u5404\u9879\u76f8\u5173\u5b66\u79d1\u7684\u4ea4\u53c9\u77e5\u8bc6\u3002","title":"\u673a\u5668\u5b66\u4e60\u8fdb\u9636"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/roadmap/#_2","text":"PRML: Pattern Recognition and Machine Learning. Christopher Bishop \u7ecf\u5178\u8d1d\u53f6\u65af\u5b66\u6d3e\u6559\u6750 AoS: All of Statistics. Larry Wasserman \u7ecf\u5178\u9891\u7387\u5b66\u6d3e\u6559\u6750 \u6240\u4ee5\u8fd9\u4e24\u672c\u4e66\u521a\u597d\u76f8\u8f85\u76f8\u6210","title":"\u5fc5\u8bfb\u6559\u6750"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/roadmap/#_3","text":"MLAPP: Machine Learning: A Probabilistic Perspective. Kevin Murphy Convex Optimization. Stephen Boyd and Lieven Vandenberghe","title":"\u5b57\u5178"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/roadmap/#_4","text":"W&J: Graphical Models, Exponential Families, and Variational Inference. Martin Wainwright and Michael Jordan Theory of Point Estimation. E. L. Lehmann and George Casella","title":"\u8fdb\u9636\u4e66\u7c4d"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/roadmap/#_5","text":"","title":"\u5982\u4f55\u9605\u8bfb"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/roadmap/#guidelines","text":"\u5fc5\u8bfb\u6559\u6750\u5c31\u662f\u4e00\u5b9a\u8981\u8bfb\u7684\u6559\u6750 \u5b57\u5178\u7684\u610f\u601d\u662f\uff0c\u4e00\u822c\u60c5\u51b5\u4e0b\u4e0d\u7ba1\u5b83\uff0c\u4f46\u5f53\u9047\u5230\u4e86\u4e0d\u61c2\u7684\u6982\u5ff5\u7684\u65f6\u5019\uff0c\u5c31\u53bb\u5b57\u5178\u91cc\u9762\u67e5\uff08\u800c\u4e0d\u662f\u7ef4\u57fa\u767e\u79d1\uff09 \u8fdb\u9636\u4e66\u7c4d\u5148\u4e0d\u8bfb\uff0c\u5148\u8bfb\u5b8c\u5fc5\u8bfb\u4e66\u7c4d\u3002\u5fc5\u8bfb\u4e66\u7c4d\u4e00\u822c\u90fd\u662f\u8981\u524d\u524d\u540e\u540e\u53cd\u590d\u770b\u8fc7 N \u904d\u624d\u7b97\u8bfb\u5b8c \u8bfb\u7684\u8fc7\u7a0b\u4e2d\uff0c\u6700\u91cd\u8981\u7684\u8bfb\u6cd5\u5c31\u662f\u5bf9\u6bd4\u9605\u8bfb (contrastive-comparative reading)\uff1a\u540c\u65f6\u6253\u5f00\u4e24\u672c\u4e66\u8bb2\u540c\u4e00\u4e3b\u9898\u7684\u7ae0\u8282\uff0c\u7136\u540e\u5bf9\u6bd4\u76f8\u540c\u70b9\u548c\u4e0d\u540c\u70b9\u548c\u8054\u7cfb \u8bfb\u7684\u8fc7\u7a0b\u4e2d\uff0c\u5c3d\u91cf\u53bb\u56de\u60f3\u4e4b\u524d\u8bfb\u8fc7\u7684\u8bba\u6587\uff0c\u6bd4\u8f83\u8bba\u6587\u548c\u6559\u6750\u7684\u76f8\u540c\u70b9\u4e0e\u4e0d\u540c\u70b9","title":"Guidelines"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/roadmap/#_6","text":"\u5148\u8bfb AoS \u7b2c\u516d\u7ae0: Models, Statistical Inference and Learning\uff0c\u8fd9\u4e00\u90e8\u5206\u662f\u6700\u57fa\u7840\u7684\u79d1\u666e \u7136\u540e\u8bfb PRML \u7b2c 10, 11 \u7ae0 \u7b2c 10 \u7ae0\u7684\u5185\u5bb9\u662f Variational Inference, \u7b2c 11 \u7ae0\u7684\u5185\u5bb9\u662f MCMC, \u8fd9\u4e24\u79cd\u65b9\u6cd5\u662f\u8d1d\u53f6\u65af\u63a8\u65ad\u7684\u4e24\u6761\u6700\u4e3b\u8981\u8def\u7ebf \u5982\u679c\u5728\u8bfb PRML \u7684\u8fc7\u7a0b\u4e2d\u53d1\u73b0\u6709\u4efb\u4f55\u4e0d\u61c2\u7684\u540d\u8bcd\uff0c\u5c31\u53bb\u7ffb\u524d\u9762\u7684\u7ae0\u8282\u3002\u5f88\u5927\u6982\u7387\u80fd\u591f\u5728\u7b2c 3\uff0c4 \u7ae0\u627e\u5230\u76f8\u5bf9\u5e94\u7684\u5b9a\u4e49\uff1b\u5982\u679c\u627e\u4e0d\u5230\u6216\u8005\u4e0d\u591f\u8be6\u7ec6\uff0c\u5c31\u53bb\u67e5 MLAPP AoS \u7b2c 8 \u7ae0 (Parametric Inference) \u548c\u7b2c 11 \u7ae0 (Bayesian Inference) \u4e5f\u53ef\u4ee5\u4f5c\u4e3a\u53c2\u8003\u3002\u6700\u597d\u7684\u65b9\u6cd5\u662f\u591a\u672c\u4e66\u5bf9\u6bd4\u9605\u8bfb\uff0c\u6d41\u7a0b\u5982\u4e0b \u5047\u8bbe\u6211\u5728\u8bfb PRML \u7b2c 10 \u7ae0\u7684\u65f6\u5019\u53d1\u73b0\u4e86\u4e00\u4e2a\u4e0d\u61c2\u7684\u8bcd\uff1aposterior inference \u4e8e\u662f\u6211\u5f80\u524d\u7ffb\uff0c\u7ffb\u5230\u4e86\u7b2c 3 \u7ae0 (Linear Model for Regression)\uff0c\u770b\u5230\u4e86\u6700\u7b80\u5355\u7684 posterior \u7136\u540e\u6211\u63a5\u7740\u7ffb AoS\uff0c\u7ffb\u5230\u4e86\u7b2c 11 \u7ae0\uff0c\u4e5f\u6709\u5bf9 posterior \u7684\u63cf\u8ff0 \u7136\u540e\u6211\u5bf9\u6bd4 PRML \u7b2c 10 \u7ae0\uff0c\u7b2c 3 \u7ae0\uff0cAoS \u7b2c 11 \u7ae0\uff0c\u4e09\u5904\u4e0d\u540c\u5730\u65b9\u5bf9 posterior \u7684\u89e3\u8bfb\uff0c\u6bd4\u8f83\u5176\u76f8\u540c\u70b9\u548c\u4e0d\u540c\u70b9\u548c\u8054\u7cfb \u8bfb\u5b8c PRML \u7b2c 10 \u548c 11 \u7ae0\u4e4b\u540e\uff0c\u63a5\u7740\u8bfb AoS \u7b2c 24 \u7ae0 (Simulation Methods)\uff0c\u7136\u540e\u628a\u5b83\u548c PRML \u7b2c 11 \u7ae0\u5bf9\u6bd4\u9605\u8bfb -- \u8fd9\u4fe9\u90fd\u662f\u8bb2 MCMC \u5982\u679c\u5230\u6b64\u5904\u53d1\u73b0\u8fd8\u6709\u57fa\u7840\u6982\u5ff5\u8bfb\u4e0d\u61c2\uff0c\u5c31\u56de\u5230 PRML \u7b2c 3 \u7ae0\uff0c\u628a\u5b83\u548c AoS \u7b2c 11 \u7ae0\u5bf9\u6bd4\u9605\u8bfb Again\uff0c\u5bf9\u6bd4\u9605\u8bfb\u975e\u5e38\u91cd\u8981\uff0c\u4e00\u5b9a\u8981\u628a\u4e0d\u540c\u672c\u4e66\u7684\u7c7b\u4f3c\u5185\u5bb9\u540c\u65f6\u6446\u5728\u9762\u524d\u76f8\u4e92\u5bf9\u6bd4\uff0c\u8fd9\u6837\u53ef\u4ee5\u663e\u8457\u589e\u5f3a\u8bb0\u5fc6 \u7136\u540e\u8bfb PRML \u7b2c 13 \u7ae0\uff08\u8df3\u8fc7\u7b2c 12 \u7ae0\uff09\uff0c\u8fd9\u4e00\u7ae0\u53ef\u4ee5\u548c MLAPP \u7684\u7b2c 17, 18 \u7ae0\u5bf9\u6bd4\u9605\u8bfb MLAPP \u7b2c 17 \u7ae0\u662f PRML \u7b2c 13.2 \u7ae0\u7684\u8be6\u7ec6\u7248\uff0c\u4e3b\u8981\u8bb2 HMM MLAPP \u7b2c 18 \u7ae0\u662f PRML \u7b2c 13.3 \u7ae0\u7684\u8be6\u7ec6\u7248\uff0c\u4e3b\u8981\u8bb2 LDS \u8bfb\u5b8c PRML \u7b2c 13 \u7ae0\u4e4b\u540e\uff0c\u518d\u53bb\u8bfb PRML \u7b2c 8 \u7ae0 (Graphical Models) -- \u6b64\u65f6\u8fd9\u90e8\u5206\u5e94\u8be5\u4f1a\u8bfb\u5f97\u5f88\u8f7b\u677e \u4ee5\u4e0a\u7684\u5185\u5bb9\u53ef\u4ee5\u8fdb\u4e00\u6b65\u5bf9\u7167 CMU 10-708 PGM \u8bfe\u7a0b\u6750\u6599 \u5230\u76ee\u524d\u4e3a\u6b62\uff0c\u5e94\u8be5\u80fd\u591f\u638c\u63e1 \u6982\u7387\u6a21\u578b\u7684\u57fa\u7840\u5b9a\u4e49 \u7cbe\u51c6\u63a8\u65ad - Sum-Product \u8fd1\u4f3c\u63a8\u65ad - MCMC \u8fd1\u4f3c\u63a8\u65ad - VI \u7136\u540e\u5c31\u53ef\u4ee5\u53bb\u505a\u66f4\u8fdb\u9636\u7684\u5185\u5bb9","title":"\u57fa\u7840\u8def\u5f84"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS224n/","text":"CS224n: Natural Language Processing \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1a\u6df1\u5ea6\u5b66\u4e60\u57fa\u7840 + Python \u7f16\u7a0b\u8bed\u8a00\uff1aPython \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a80 \u5c0f\u65f6 Stanford \u7684 NLP \u5165\u95e8\u8bfe\u7a0b\uff0c\u7531\u81ea\u7136\u8bed\u8a00\u5904\u7406\u9886\u57df\u7684\u5de8\u4f6c Chris Manning \u9886\u8854\u6559\u6388\uff08word2vec \u7b97\u6cd5\u7684\u5f00\u521b\u8005\uff09\u3002\u5185\u5bb9\u8986\u76d6\u4e86\u8bcd\u5411\u91cf\u3001RNN\u3001LSTM\u3001Seq2Seq \u6a21\u578b\u3001\u673a\u5668\u7ffb\u8bd1\u3001\u6ce8\u610f\u529b\u673a\u5236\u3001Transformer \u7b49\u7b49 NLP \u9886\u57df\u7684\u6838\u5fc3\u77e5\u8bc6\u70b9\u3002 5 \u4e2a\u7f16\u7a0b\u4f5c\u4e1a\u96be\u5ea6\u5faa\u5e8f\u6e10\u8fdb\uff0c\u5206\u522b\u662f\u8bcd\u5411\u91cf\u3001word2vec \u7b97\u6cd5\u3001Dependency parsing\u3001\u673a\u5668\u7ffb\u8bd1\u4ee5\u53ca Transformer \u7684 fine-tune\u3002 \u6700\u7ec8\u7684\u5927\u4f5c\u4e1a\u662f\u5728 Stanford \u8457\u540d\u7684 SQuAD \u6570\u636e\u96c6\u4e0a\u8bad\u7ec3 QA \u6a21\u578b\uff0c\u6709\u5b66\u751f\u7684\u5927\u4f5c\u4e1a\u751a\u81f3\u76f4\u63a5\u53d1\u8868\u4e86\u9876\u4f1a\u8bba\u6587\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a http://web.stanford.edu/class/cs224n/index.html \u8bfe\u7a0b\u89c6\u9891\uff1aB \u7ad9\u641c\u7d22 CS224n \u8bfe\u7a0b\u6559\u6750\uff1a\u65e0 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a http://web.stanford.edu/class/cs224n/index.html \uff0c5 \u4e2a\u7f16\u7a0b\u4f5c\u4e1a + 1 \u4e2a Final Project \u8d44\u6e90\u6c47\u603b @PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/CS224n - GitHub \u4e2d\u3002","title":"Stanford CS224n: Natural Language Processing"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS224n/#cs224n-natural-language-processing","text":"","title":"CS224n: Natural Language Processing"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS224n/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1a\u6df1\u5ea6\u5b66\u4e60\u57fa\u7840 + Python \u7f16\u7a0b\u8bed\u8a00\uff1aPython \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a80 \u5c0f\u65f6 Stanford \u7684 NLP \u5165\u95e8\u8bfe\u7a0b\uff0c\u7531\u81ea\u7136\u8bed\u8a00\u5904\u7406\u9886\u57df\u7684\u5de8\u4f6c Chris Manning \u9886\u8854\u6559\u6388\uff08word2vec \u7b97\u6cd5\u7684\u5f00\u521b\u8005\uff09\u3002\u5185\u5bb9\u8986\u76d6\u4e86\u8bcd\u5411\u91cf\u3001RNN\u3001LSTM\u3001Seq2Seq \u6a21\u578b\u3001\u673a\u5668\u7ffb\u8bd1\u3001\u6ce8\u610f\u529b\u673a\u5236\u3001Transformer \u7b49\u7b49 NLP \u9886\u57df\u7684\u6838\u5fc3\u77e5\u8bc6\u70b9\u3002 5 \u4e2a\u7f16\u7a0b\u4f5c\u4e1a\u96be\u5ea6\u5faa\u5e8f\u6e10\u8fdb\uff0c\u5206\u522b\u662f\u8bcd\u5411\u91cf\u3001word2vec \u7b97\u6cd5\u3001Dependency parsing\u3001\u673a\u5668\u7ffb\u8bd1\u4ee5\u53ca Transformer \u7684 fine-tune\u3002 \u6700\u7ec8\u7684\u5927\u4f5c\u4e1a\u662f\u5728 Stanford \u8457\u540d\u7684 SQuAD \u6570\u636e\u96c6\u4e0a\u8bad\u7ec3 QA \u6a21\u578b\uff0c\u6709\u5b66\u751f\u7684\u5927\u4f5c\u4e1a\u751a\u81f3\u76f4\u63a5\u53d1\u8868\u4e86\u9876\u4f1a\u8bba\u6587\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS224n/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a http://web.stanford.edu/class/cs224n/index.html \u8bfe\u7a0b\u89c6\u9891\uff1aB \u7ad9\u641c\u7d22 CS224n \u8bfe\u7a0b\u6559\u6750\uff1a\u65e0 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a http://web.stanford.edu/class/cs224n/index.html \uff0c5 \u4e2a\u7f16\u7a0b\u4f5c\u4e1a + 1 \u4e2a Final Project","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS224n/#_3","text":"@PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/CS224n - GitHub \u4e2d\u3002","title":"\u8d44\u6e90\u6c47\u603b"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS224w/","text":"CS224w: Machine Learning with Graphs 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\u8bfe\u7a0b\u4f5c\u4e1a\uff1a http://web.stanford.edu/class/cs224w/ \uff0c6 \u4e2a\u7f16\u7a0b\u4f5c\u4e1a\uff0c3 \u4e2a LaTeX \u4e66\u9762\u4f5c\u4e1a","title":"Stanford CS224w: Machine Learning with Graphs"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS224w/#cs224w-machine-learning-with-graphs","text":"","title":"CS224w: Machine Learning with Graphs"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS224w/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1a\u6df1\u5ea6\u5b66\u4e60\u57fa\u7840 + Python \u7f16\u7a0b\u8bed\u8a00\uff1aPython, LaTeX \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a80 \u5c0f\u65f6 Stanford \u7684\u56fe\u795e\u7ecf\u7f51\u7edc\u5165\u95e8\u8bfe\uff0c\u8fd9\u95e8\u8bfe\u6211\u6ca1\u6709\u4e0a\u8fc7\uff0c\u4f46\u4f17\u591a\u505a GNN \u7684\u670b\u53cb\u90fd\u5411\u6211\u529b\u8350\u8fc7\u8fd9\u95e8\u8bfe\uff0c\u60f3\u5fc5 Stanford \u7684\u8bfe\u8d28\u91cf\u8fd8\u662f\u4e00\u5982\u65e2\u5f80\u5730\u6709\u4fdd\u8bc1\u7684\u3002\u53e6\u5916\u5c31\u662f\u8fd9\u95e8\u8bfe\u7684\u6388\u8bfe\u8001\u5e08\u975e\u5e38\u5e74\u8f7b\u5e05\u6c14:)","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS224w/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a http://web.stanford.edu/class/cs224w/ \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.youtube.com/watch?v=JAB_plj2rbA \u8bfe\u7a0b\u6559\u6750\uff1a\u65e0 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a http://web.stanford.edu/class/cs224w/ \uff0c6 \u4e2a\u7f16\u7a0b\u4f5c\u4e1a\uff0c3 \u4e2a LaTeX \u4e66\u9762\u4f5c\u4e1a","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS230/","text":"Coursera: Deep Learning \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1a\u673a\u5668\u5b66\u4e60\u57fa\u7840 + Python \u7f16\u7a0b\u8bed\u8a00\uff1aPython 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https://www.coursera.org/specializations/deep-learning \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.coursera.org/specializations/deep-learning \uff0cB\u7ad9\u6709\u642c\u8fd0 \u8bfe\u7a0b\u6559\u6750\uff1a\u65e0 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a https://www.coursera.org/specializations/deep-learning","title":"Coursera: Deep Learning"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS230/#coursera-deep-learning","text":"","title":"Coursera: Deep Learning"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS230/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1a\u673a\u5668\u5b66\u4e60\u57fa\u7840 + Python \u7f16\u7a0b\u8bed\u8a00\uff1aPython \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a80 \u5c0f\u65f6 \u5434\u6069\u8fbe\u5728 Coursera \u5f00\u8bbe\u7684\u53e6\u4e00\u95e8\u7f51\u7ea2\u8bfe\u7a0b\uff0c\u5b66\u4e60\u8005\u65e0\u6570\uff0c\u582a\u79f0\u5723\u7ecf\u7ea7\u7684\u6df1\u5ea6\u5b66\u4e60\u5165\u95e8\u8bfe\u3002\u6df1\u5165\u6d45\u51fa\u7684\u8bb2\u89e3\uff0c\u773c\u82b1\u7f2d\u4e71\u7684 Project\u3002\u4ece\u6700\u57fa\u7840\u7684\u795e\u7ecf\u7f51\u7edc\uff0c\u5230 CNN, RNN\uff0c\u518d\u5230\u6700\u8fd1\u5927\u70ed\u7684 Transformer\u3002\u5b66\u5b8c\u8fd9\u95e8\u8bfe\uff0c\u4f60\u5c06\u521d\u6b65\u638c\u63e1\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u5fc5\u5907\u7684\u77e5\u8bc6\u548c\u6280\u80fd\uff0c\u5e76\u4e14\u53ef\u4ee5\u5728 Kaggle \u4e2d\u53c2\u52a0\u81ea\u5df1\u611f\u5174\u8da3\u7684\u6bd4\u8d5b\uff0c\u5728\u5b9e\u8df5\u4e2d\u953b\u70bc\u81ea\u5df1\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS230/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a https://www.coursera.org/specializations/deep-learning \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.coursera.org/specializations/deep-learning \uff0cB\u7ad9\u6709\u642c\u8fd0 \u8bfe\u7a0b\u6559\u6750\uff1a\u65e0 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a https://www.coursera.org/specializations/deep-learning","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS231/","text":"CS231n: CNN for Visual Recognition \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1a\u673a\u5668\u5b66\u4e60\u57fa\u7840 \u7f16\u7a0b\u8bed\u8a00\uff1aPython \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a80 \u5c0f\u65f6 Stanford \u7684 CV \u5165\u95e8\u8bfe\uff0c\u7531\u8ba1\u7b97\u673a\u9886\u57df\u7684\u5de8\u4f6c\u674e\u98de\u98de\u9662\u58eb\u9886\u8854\u6559\u6388\uff08CV \u9886\u57df\u5212\u65f6\u4ee3\u7684\u8457\u540d\u6570\u636e\u96c6 ImageNet \u7684\u7814\u7a76\u56e2\u961f\uff09\uff0c\u4f46\u5176\u5185\u5bb9\u76f8\u5bf9\u57fa\u7840\u4e14\u53cb\u597d\uff0c\u5982\u679c\u4e0a\u8fc7 CS230 \u7684\u8bdd\u53ef\u4ee5\u76f4\u63a5\u4e0a\u624b Project \u4f5c\u4e3a\u7ec3\u4e60\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a http://cs231n.stanford.edu/ \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.bilibili.com/video/BV1nJ411z7fe \u8bfe\u7a0b\u6559\u6750\uff1a\u65e0 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a http://cs231n.stanford.edu/schedule.html \uff0c3\u4e2a\u7f16\u7a0b\u4f5c\u4e1a","title":"Stanford CS231n: CNN for Visual Recognition"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS231/#cs231n-cnn-for-visual-recognition","text":"","title":"CS231n: CNN for Visual Recognition"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS231/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1a\u673a\u5668\u5b66\u4e60\u57fa\u7840 \u7f16\u7a0b\u8bed\u8a00\uff1aPython 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\u90fd\u6709\u8fdc\u7a0b\u5728\u7ebf\u7248\uff0c\u975e\u5e38\u9002\u5408\u5927\u5bb6\u5728\u5bb6\u81ea\u5b66\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E7%94%B5%E5%AD%90%E5%9F%BA%E7%A1%80/EE16/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a EE16A , EE16B \u8bfe\u7a0b\u89c6\u9891\uff1aB \u7ad9\u641c\u7d22 \u8bfe\u7a0b\u6559\u6750\uff1a\u53c2\u89c1\u8bfe\u7a0b notes \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u53c2\u89c1\u8bfe\u7a0b\u4e3b\u9875","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E7%94%B5%E5%AD%90%E5%9F%BA%E7%A1%80/EE16/#_3","text":"@PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/EE16A - GitHub \u4e2d\u3002","title":"\u8d44\u6e90\u6c47\u603b"},{"location":"%E7%94%B5%E5%AD%90%E5%9F%BA%E7%A1%80/Signals_and_Systems_AVO/","text":"MIT 6.007 Signals and Systems \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1aCalculus, Linear 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Oppenheim \u597d\u7684\uff0c\u4e0a\u8fd9\u95e8\u8bfe\u7684\u7406\u7531\u5df2\u7ecf\u8db3\u591f\u4e86\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://ocw.mit.edu/resources/res-6-007-signals-and-systems-spring-2011/index.htm \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.bilibili.com/video/BV1CZ4y1j7hs \u8bfe\u7a0b\u6559\u6750\uff1aSignals and Systems, 2nd Edition \u8bfe\u7a0b\u4f5c\u4e1a\uff1a https://ocw.mit.edu/resources/res-6-007-signals-and-systems-spring-2011/assignments","title":"MIT 6.007 Signals and Systems"},{"location":"%E7%94%B5%E5%AD%90%E5%9F%BA%E7%A1%80/Signals_and_Systems_AVO/#mit-6007-signals-and-systems","text":"","title":"MIT 6.007 Signals and Systems"},{"location":"%E7%94%B5%E5%AD%90%E5%9F%BA%E7%A1%80/Signals_and_Systems_AVO/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1aCalculus, Linear Algebra \u7f16\u7a0b\u8bed\u8a00\uff1aMatlab Preferred \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a50-70 \u5c0f\u65f6 \u770b\u5230\u8bfe\u7a0b\u8001\u5e08\u7684\u540d\u5b57\uff1aProf. Alan V. Oppenheim \u597d\u7684\uff0c\u4e0a\u8fd9\u95e8\u8bfe\u7684\u7406\u7531\u5df2\u7ecf\u8db3\u591f\u4e86\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E7%94%B5%E5%AD%90%E5%9F%BA%E7%A1%80/Signals_and_Systems_AVO/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a https://ocw.mit.edu/resources/res-6-007-signals-and-systems-spring-2011/index.htm \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.bilibili.com/video/BV1CZ4y1j7hs \u8bfe\u7a0b\u6559\u6750\uff1aSignals and Systems, 2nd Edition \u8bfe\u7a0b\u4f5c\u4e1a\uff1a https://ocw.mit.edu/resources/res-6-007-signals-and-systems-spring-2011/assignments","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E7%94%B5%E5%AD%90%E5%9F%BA%E7%A1%80/signal/","text":"UCB EE120: Signal and Systems \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aUC Berkeley \u5148\u4fee\u8981\u6c42\uff1aCS61A, CS70\uff0c\u5fae\u79ef\u5206\uff0c\u7ebf\u6027\u4ee3\u6570 \u7f16\u7a0b\u8bed\u8a00\uff1aPython \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a100 \u5c0f\u65f6 \u8fd9\u95e8\u8bfe\u6700\u7cbe\u534e\u7684\u90e8\u5206\u5c31\u662f 6 \u4e2a\u8d85\u6709\u8da3\u7684\u7f16\u7a0b\u4f5c\u4e1a\u4e86\uff0c\u4f1a\u8ba9\u4f60\u7528 Python \u901a\u8fc7\u5b66\u4e60\u5230\u7684\u4fe1\u53f7\u4e0e\u7cfb\u7edf\u7684\u7406\u8bba\u77e5\u8bc6\uff0c\u89e3\u51b3\u5404\u7c7b\u5b9e\u9645\u95ee\u9898\u3002\u4f8b\u5982 lab3 \u4f1a\u8ba9\u4f60\u5b9e\u73b0 FFT \u7b97\u6cd5\uff0c\u5e76\u548c Numpy \u7684\u5b98\u65b9\u5b9e\u73b0\u8fdb\u884c\u6027\u80fd\u5bf9\u6bd4\uff1blab4 \u4f1a\u901a\u8fc7\u5206\u6790\u624b\u6307\u5934\u7684\u5f71\u50cf\u6570\u636e\u63a8\u65ad\u5fc3\u7387\uff1blab5 \u5c31\u66f4\u725b\u4e86\uff0c\u4f1a\u8ba9\u4f60\u7ed9\u54c8\u52c3\u671b\u8fdc\u955c\u62cd\u5230\u7684\u7167\u7247\u8fdb\u884c\u964d\u566a\u5904\u7406\uff0c\u6062\u590d\u7eda\u70c2\u6e05\u6670\u7684\u661f\u7a7a\uff1blab6 \u4f1a\u8ba9\u4f60\u6784\u9020\u4e00\u4e2a\u53cd\u9988\u7cfb\u7edf\uff0c\u5e73\u8861\u5c0f\u8f66\u4e0a\u7684\u7ec6\u6746\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://inst.eecs.berkeley.edu/~ee120/fa19/ \u8bfe\u7a0b\u6559\u6750\uff1a\u53c2\u89c1\u8bfe\u7a0b notes \u8bfe\u7a0b\u4f5c\u4e1a\uff1a5 \u4e2a\u4e66\u9762\u4f5c\u4e1a + 6 \u4e2a\u7f16\u7a0b\u4f5c\u4e1a \u8d44\u6e90\u6c47\u603b @PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/UCB-EE120 - 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GitHub \u4e2d\u3002","title":"\u8d44\u6e90\u6c47\u603b"},{"location":"%E7%A8%8B%E5%BA%8F%E8%AF%AD%E8%A8%80%E8%AE%BE%E8%AE%A1/CS242/","text":"","title":"CS242"},{"location":"%E7%B3%BB%E7%BB%9F%E5%AE%89%E5%85%A8/CS161/","text":"UCB CS161: Computer Security \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aUC Berkeley \u5148\u4fee\u8981\u6c42\uff1aCS61A, CS61B, CS61C \u7f16\u7a0b\u8bed\u8a00\uff1aC, Go \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a150 \u5c0f\u65f6 \u4f2f\u514b\u5229\u7684\u8ba1\u7b97\u673a\u7cfb\u7edf\u5b89\u5168\u8bfe\u7a0b\uff0c\u8bfe\u7a0b\u5185\u5bb9\u5206\u4e3a5\u4e2a\u90e8\u5206\uff1a Security principles: how to design a secure system Memory safety: buffer overflow attack Cryptography: symmetric encryption, asymmetric encryption, MAC, digital signature ......... Web: SQL-injection, XSS, XSRF ....... Networking: attacks for each layer \u8fd9\u95e8\u8bfe\u8ba9\u6211\u5370\u8c61\u6700\u4e3a\u6df1\u523b\u7684\u90e8\u5206\u662f Project2\uff0c\u8ba9\u4f60\u7528 Go \u8bed\u8a00\u8bbe\u8ba1\u548c\u5b9e\u73b0\u4e00\u4e2a\u5b89\u5168\u7684\u6587\u4ef6\u5206\u4eab\u7cfb\u7edf\u3002\u6211\u82b1\u4e86\u6574\u6574\u4e09\u5929\u624d\u5b8c\u6210\u4e86\u8fd9\u4e2a\u975e\u5e38\u8650\u7684 Project\uff0c\u603b\u4ee3\u7801\u91cf\u8d85\u8fc7 3k \u884c\u3002\u5728\u8fd9\u6837\u5bc6\u96c6\u578b\u7684\u5f00\u53d1\u8fc7\u7a0b\u4e2d\uff0c\u80fd\u6781\u5927\u5730\u953b\u70bc\u4f60\u8bbe\u8ba1\u548c\u5b9e\u73b0\u4e00\u4e2a\u5b89\u5168\u7cfb\u7edf\u7684\u80fd\u529b\u3002 2020 \u5e74\u590f\u5b63\u5b66\u671f\u7684\u7248\u672c\u5f00\u6e90\u4e86\u8bfe\u7a0b\u5f55\u5f71\uff0c\u5927\u5bb6\u53ef\u4ee5\u5728\u4e0b\u9762\u7684\u8bfe\u7a0b\u7f51\u7ad9\u94fe\u63a5\u91cc\u627e\u5230\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://su20.cs161.org/ \u8bfe\u7a0b\u89c6\u9891\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9 \u8bfe\u7a0b\u6559\u6750\uff1a https://textbook.cs161.org/ \u8bfe\u7a0b\u4f5c\u4e1a\uff1a7 \u4e2a\u5728\u7ebf HW + 3 \u4e2a Lab + 3 \u4e2a Project \u8d44\u6e90\u6c47\u603b @PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/UCB-CS161 - GitHub \u4e2d\u3002","title":"UCB CS161: Computer Security"},{"location":"%E7%B3%BB%E7%BB%9F%E5%AE%89%E5%85%A8/CS161/#ucb-cs161-computer-security","text":"","title":"UCB CS161: Computer Security"},{"location":"%E7%B3%BB%E7%BB%9F%E5%AE%89%E5%85%A8/CS161/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aUC Berkeley \u5148\u4fee\u8981\u6c42\uff1aCS61A, CS61B, CS61C \u7f16\u7a0b\u8bed\u8a00\uff1aC, Go \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a150 \u5c0f\u65f6 \u4f2f\u514b\u5229\u7684\u8ba1\u7b97\u673a\u7cfb\u7edf\u5b89\u5168\u8bfe\u7a0b\uff0c\u8bfe\u7a0b\u5185\u5bb9\u5206\u4e3a5\u4e2a\u90e8\u5206\uff1a Security principles: how to design a secure system Memory safety: buffer overflow attack Cryptography: symmetric encryption, asymmetric encryption, MAC, digital signature ......... Web: SQL-injection, XSS, XSRF ....... Networking: attacks for each layer \u8fd9\u95e8\u8bfe\u8ba9\u6211\u5370\u8c61\u6700\u4e3a\u6df1\u523b\u7684\u90e8\u5206\u662f Project2\uff0c\u8ba9\u4f60\u7528 Go \u8bed\u8a00\u8bbe\u8ba1\u548c\u5b9e\u73b0\u4e00\u4e2a\u5b89\u5168\u7684\u6587\u4ef6\u5206\u4eab\u7cfb\u7edf\u3002\u6211\u82b1\u4e86\u6574\u6574\u4e09\u5929\u624d\u5b8c\u6210\u4e86\u8fd9\u4e2a\u975e\u5e38\u8650\u7684 Project\uff0c\u603b\u4ee3\u7801\u91cf\u8d85\u8fc7 3k \u884c\u3002\u5728\u8fd9\u6837\u5bc6\u96c6\u578b\u7684\u5f00\u53d1\u8fc7\u7a0b\u4e2d\uff0c\u80fd\u6781\u5927\u5730\u953b\u70bc\u4f60\u8bbe\u8ba1\u548c\u5b9e\u73b0\u4e00\u4e2a\u5b89\u5168\u7cfb\u7edf\u7684\u80fd\u529b\u3002 2020 \u5e74\u590f\u5b63\u5b66\u671f\u7684\u7248\u672c\u5f00\u6e90\u4e86\u8bfe\u7a0b\u5f55\u5f71\uff0c\u5927\u5bb6\u53ef\u4ee5\u5728\u4e0b\u9762\u7684\u8bfe\u7a0b\u7f51\u7ad9\u94fe\u63a5\u91cc\u627e\u5230\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E7%B3%BB%E7%BB%9F%E5%AE%89%E5%85%A8/CS161/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a https://su20.cs161.org/ \u8bfe\u7a0b\u89c6\u9891\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9 \u8bfe\u7a0b\u6559\u6750\uff1a https://textbook.cs161.org/ \u8bfe\u7a0b\u4f5c\u4e1a\uff1a7 \u4e2a\u5728\u7ebf HW + 3 \u4e2a Lab + 3 \u4e2a Project","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E7%B3%BB%E7%BB%9F%E5%AE%89%E5%85%A8/CS161/#_3","text":"@PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/UCB-CS161 - GitHub \u4e2d\u3002","title":"\u8d44\u6e90\u6c47\u603b"},{"location":"%E7%B3%BB%E7%BB%9F%E5%AE%89%E5%85%A8/MIT6.858/","text":"MIT 6.858: Computer System Security \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1a\u8ba1\u7b97\u673a\u4f53\u7cfb\u7ed3\u6784\uff0c\u5bf9\u8ba1\u7b97\u673a\u7cfb\u7edf\u6709\u521d\u6b65\u4e86\u89e3 \u7f16\u7a0b\u8bed\u8a00\uff1aC, Python \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a150 \u5c0f\u65f6 MIT \u7684\u8ba1\u7b97\u673a\u7cfb\u7edf\u5b89\u5168\u8bfe\u7a0b\uff0c\u5b9e\u9a8c\u73af\u5883\u662f\u4e00\u4e2a Web Application Zoobar\u3002\u5b66\u751f\u5b66\u4e60\u653b\u9632\u6280\u672f\u5e76\u5e94\u7528\u4e8e\u8be5 Web Application\u3002 Lab 1: you will explore the zoobar web application, and use buffer overflow attacks to break its security properties. Lab 2: you will improve the zoobar web application by using privilege separation, so that if one component is compromised, the adversary doesn't get control over the whole web application. Lab 3: you will build a program analysis tool based on symbolic execution to find bugs in Python code such as the zoobar web application. Lab 4: you will improve the zoobar application against browser attacks. \u8fd9\u4e2a\u8bfe\u6211\u4e3b\u8981\u662f\u505a\u4e86 Lab 3\u3002Lab 3 \u662f\u901a\u8fc7\u6df7\u5408\u7b26\u53f7\u6267\u884c\u6765\u904d\u5386\u7a0b\u5e8f\u7684\u6240\u6709\u5206\u652f\uff0c\u7406\u89e3\u4e86\u7b26\u53f7\u6267\u884c\u7684\u601d\u60f3\u540e Lab \u5e76\u4e0d\u96be\u505a\u3002\u8fd9\u4e2a Lab \u76f4\u89c2\u5c55\u793a\u7b26\u53f7\u6267\u884c\u8fd9\u79cd\u6280\u672f\u7684\u4f7f\u7528\u65b9\u6cd5\u3002 \u8fd9\u4e2a\u8bfe\u7684 Final Project \u662f\u5b9e\u73b0 SecFS \uff0c\u4e00\u4e2a\u8fdc\u7aef\u6587\u4ef6\u7cfb\u7edf\uff0c\u9762\u5bf9\u5b8c\u5168\u4e0d\u53ef\u4fe1\u7684\u670d\u52a1\u5668\uff0c\u63d0\u4f9b\u673a\u5bc6\u6027\u548c\u5b8c\u6574\u6027\u3002\u53c2\u8003\u8bba\u6587\u4e3a SUNDR \u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a http://css.csail.mit.edu/6.858/2022/ \u8bfe\u7a0b\u89c6\u9891\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9 \u8bfe\u7a0b\u6559\u6750\uff1a\u65e0 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a4 \u4e2a Lab + Final Project / Lab5","title":"MIT 6.858: Computer System Security"},{"location":"%E7%B3%BB%E7%BB%9F%E5%AE%89%E5%85%A8/MIT6.858/#mit-6858-computer-system-security","text":"","title":"MIT 6.858: Computer System Security"},{"location":"%E7%B3%BB%E7%BB%9F%E5%AE%89%E5%85%A8/MIT6.858/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1a\u8ba1\u7b97\u673a\u4f53\u7cfb\u7ed3\u6784\uff0c\u5bf9\u8ba1\u7b97\u673a\u7cfb\u7edf\u6709\u521d\u6b65\u4e86\u89e3 \u7f16\u7a0b\u8bed\u8a00\uff1aC, Python \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a150 \u5c0f\u65f6 MIT \u7684\u8ba1\u7b97\u673a\u7cfb\u7edf\u5b89\u5168\u8bfe\u7a0b\uff0c\u5b9e\u9a8c\u73af\u5883\u662f\u4e00\u4e2a Web Application Zoobar\u3002\u5b66\u751f\u5b66\u4e60\u653b\u9632\u6280\u672f\u5e76\u5e94\u7528\u4e8e\u8be5 Web Application\u3002 Lab 1: you will explore the zoobar web application, and use buffer overflow attacks to break its security properties. Lab 2: you will improve the zoobar web application by using privilege separation, so that if one component is compromised, the adversary doesn't get control over the whole web application. Lab 3: you will build a program analysis tool based on symbolic execution to find bugs in Python code such as the zoobar web application. Lab 4: you will improve the zoobar application against browser attacks. \u8fd9\u4e2a\u8bfe\u6211\u4e3b\u8981\u662f\u505a\u4e86 Lab 3\u3002Lab 3 \u662f\u901a\u8fc7\u6df7\u5408\u7b26\u53f7\u6267\u884c\u6765\u904d\u5386\u7a0b\u5e8f\u7684\u6240\u6709\u5206\u652f\uff0c\u7406\u89e3\u4e86\u7b26\u53f7\u6267\u884c\u7684\u601d\u60f3\u540e Lab \u5e76\u4e0d\u96be\u505a\u3002\u8fd9\u4e2a Lab \u76f4\u89c2\u5c55\u793a\u7b26\u53f7\u6267\u884c\u8fd9\u79cd\u6280\u672f\u7684\u4f7f\u7528\u65b9\u6cd5\u3002 \u8fd9\u4e2a\u8bfe\u7684 Final Project \u662f\u5b9e\u73b0 SecFS \uff0c\u4e00\u4e2a\u8fdc\u7aef\u6587\u4ef6\u7cfb\u7edf\uff0c\u9762\u5bf9\u5b8c\u5168\u4e0d\u53ef\u4fe1\u7684\u670d\u52a1\u5668\uff0c\u63d0\u4f9b\u673a\u5bc6\u6027\u548c\u5b8c\u6574\u6027\u3002\u53c2\u8003\u8bba\u6587\u4e3a SUNDR \u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E7%B3%BB%E7%BB%9F%E5%AE%89%E5%85%A8/MIT6.858/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a http://css.csail.mit.edu/6.858/2022/ \u8bfe\u7a0b\u89c6\u9891\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9 \u8bfe\u7a0b\u6559\u6750\uff1a\u65e0 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a4 \u4e2a Lab + Final Project / Lab5","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E7%BC%96%E7%A8%8B%E5%85%A5%E9%97%A8/CS106B_CS106X/","text":"Stanford CS106B/X: Programming Abstractions in C++ \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1a\u8ba1\u7b97\u673a\u57fa\u7840 (CS50/CS106A/CS61A or equivalent) \u7f16\u7a0b\u8bed\u8a00\uff1aC++ \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a50-70 \u5c0f\u65f6 Stanford \u7684\u8fdb\u9636\u7f16\u7a0b\u8bfe\uff0cCS106X \u5728\u96be\u5ea6\u548c\u6df1\u5ea6\u4e0a\u4f1a\u6bd4 CS106B \u6709\u6240\u63d0\u9ad8\uff0c\u4f46\u4e3b\u4f53\u5185\u5bb9\u7c7b\u4f3c\u3002\u4e3b\u8981\u901a\u8fc7 C++ \u8bed\u8a00\u8ba9\u5b66\u751f\u5728\u5b9e\u9645\u7684\u7f16\u7a0b\u4f5c\u4e1a\u91cc\u57f9\u517b\u901a\u8fc7\u7f16\u7a0b\u62bd\u8c61\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\u7684\u80fd\u529b\uff0c\u540c\u65f6\u4e5f\u4f1a\u6d89\u53ca\u4e00\u4e9b\u7b80\u5355\u7684\u6570\u636e\u7ed3\u6784\u548c\u7b97\u6cd5\u7684\u77e5\u8bc6\uff0c\u4f46\u603b\u4f53\u6765\u8bf4\u6ca1\u6709\u4e00\u95e8\u4e13\u95e8\u7684\u6570\u636e\u7ed3\u6784\u8bfe\u90a3\u4e48\u7cfb\u7edf\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a CS106B , CS106X \u8bfe\u7a0b\u6559\u6750\uff1a https://web.stanford.edu/class/cs106x/res/reader/CS106BX-Reader.pdf \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.bilibili.com/video/BV1G7411k7jG","title":"Stanford CS106B/X"},{"location":"%E7%BC%96%E7%A8%8B%E5%85%A5%E9%97%A8/CS106B_CS106X/#stanford-cs106bx-programming-abstractions-in-c","text":"","title":"Stanford CS106B/X: Programming Abstractions in C++"},{"location":"%E7%BC%96%E7%A8%8B%E5%85%A5%E9%97%A8/CS106B_CS106X/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1a\u8ba1\u7b97\u673a\u57fa\u7840 (CS50/CS106A/CS61A or equivalent) \u7f16\u7a0b\u8bed\u8a00\uff1aC++ \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a50-70 \u5c0f\u65f6 Stanford \u7684\u8fdb\u9636\u7f16\u7a0b\u8bfe\uff0cCS106X \u5728\u96be\u5ea6\u548c\u6df1\u5ea6\u4e0a\u4f1a\u6bd4 CS106B \u6709\u6240\u63d0\u9ad8\uff0c\u4f46\u4e3b\u4f53\u5185\u5bb9\u7c7b\u4f3c\u3002\u4e3b\u8981\u901a\u8fc7 C++ \u8bed\u8a00\u8ba9\u5b66\u751f\u5728\u5b9e\u9645\u7684\u7f16\u7a0b\u4f5c\u4e1a\u91cc\u57f9\u517b\u901a\u8fc7\u7f16\u7a0b\u62bd\u8c61\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\u7684\u80fd\u529b\uff0c\u540c\u65f6\u4e5f\u4f1a\u6d89\u53ca\u4e00\u4e9b\u7b80\u5355\u7684\u6570\u636e\u7ed3\u6784\u548c\u7b97\u6cd5\u7684\u77e5\u8bc6\uff0c\u4f46\u603b\u4f53\u6765\u8bf4\u6ca1\u6709\u4e00\u95e8\u4e13\u95e8\u7684\u6570\u636e\u7ed3\u6784\u8bfe\u90a3\u4e48\u7cfb\u7edf\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E7%BC%96%E7%A8%8B%E5%85%A5%E9%97%A8/CS106B_CS106X/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a CS106B , CS106X \u8bfe\u7a0b\u6559\u6750\uff1a https://web.stanford.edu/class/cs106x/res/reader/CS106BX-Reader.pdf \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.bilibili.com/video/BV1G7411k7jG","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E7%BC%96%E7%A8%8B%E5%85%A5%E9%97%A8/CS106L/","text":"CS106L: Standard C++ Programming \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1a\u6700\u597d\u638c\u63e1\u81f3\u5c11\u4e00\u95e8\u7f16\u7a0b\u8bed\u8a00 \u7f16\u7a0b\u8bed\u8a00\uff1aC++ \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a20 \u5c0f\u65f6 \u6211\u4ece\u5927\u4e00\u5f00\u59cb\u4e00\u76f4\u90fd\u662f\u5199\u7684 C++ \u4ee3\u7801\uff0c\u76f4\u5230\u5b66\u5b8c\u8fd9\u95e8\u8bfe\u6211\u624d\u610f\u8bc6\u5230\uff0c\u6211\u5199\u7684 C++ \u4ee3\u7801\u5927\u6982\u53ea\u662f C \u8bed\u8a00 + cin / cout \u800c\u5df2\u3002 \u8fd9\u95e8\u8bfe\u4f1a\u6df1\u5165\u5230\u5f88\u591a\u6807\u51c6 C++ \u7684\u7279\u6027\u548c\u8bed\u6cd5\uff0c\u8ba9\u4f60\u7f16\u5199\u51fa\u9ad8\u8d28\u91cf\u7684 C++ \u4ee3\u7801\u3002\u4f8b\u5982 auto binding, uniform initialization, lambda function, move semantics\uff0cRAII \u7b49\u6280\u5de7\u90fd\u5728\u6211\u6b64\u540e\u7684\u4ee3\u7801\u751f\u6daf\u4e2d\u88ab\u53cd\u590d\u7528\u5230\uff0c\u975e\u5e38\u5b9e\u7528\u3002 \u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0c\u8fd9\u95e8\u8bfe\u7684\u4f5c\u4e1a\u91cc\u4f60\u4f1a\u5b9e\u73b0\u4e00\u4e2a HashMap\uff08\u7c7b\u4f3c\u4e8e STL \u4e2d\u7684 unordered_map ), \u8fd9\u4e2a\u4f5c\u4e1a\u51e0\u4e4e\u628a\u6574\u4e2a\u8bfe\u7a0b\u4e32\u8054\u4e86\u8d77\u6765\uff0c\u975e\u5e38\u8003\u9a8c\u4ee3\u7801\u80fd\u529b\u3002\u7279\u522b\u662f iterator \u7684\u5b9e\u73b0\uff0c\u505a\u5b8c\u8fd9\u4e2a\u4f5c\u4e1a\u6211\u5f00\u59cb\u7406\u89e3\u4e3a\u4ec0\u4e48 Linus \u5bf9 C/C++ \u55e4\u4e4b\u4ee5\u9f3b\u4e86\uff0c\u56e0\u4e3a\u771f\u7684\u5f88\u96be\u5199\u5bf9\u3002 \u603b\u7684\u6765\u8bb2\u8fd9\u95e8\u8bfe\u5e76\u4e0d\u96be\uff0c\u4f46\u662f\u4fe1\u606f\u91cf\u5f88\u5927\uff0c\u9700\u8981\u4f60\u5728\u4e4b\u540e\u7684\u5f00\u53d1\u5b9e\u8df5\u4e2d\u53cd\u590d\u5de9\u56fa\u3002Stanford \u4e4b\u6240\u4ee5\u5355\u5f00\u4e00\u95e8 C++ \u7684\u7f16\u7a0b\u8bfe\uff0c\u662f\u56e0\u4e3a\u5b83\u540e\u7eed\u7684\u5f88\u591a CS \u8bfe\u7a0b Project \u90fd\u662f\u57fa\u4e8e C++\u7684\u3002\u4f8b\u5982 CS144 \u8ba1\u7b97\u673a\u7f51\u7edc\u548c CS143 \u7f16\u8bd1\u5668\u3002\u8fd9\u4e24\u95e8\u8bfe\u5728\u672c\u4e66\u4e2d\u5747\u6709\u6536\u5f55\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a http://web.stanford.edu/class/cs106l/ \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.youtube.com/channel/UCSqr6y-eaQT_qZJVUm_4QxQ/playlists \u8bfe\u7a0b\u6559\u6750\uff1a http://web.stanford.edu/class/cs106l/full_course_reader.pdf Assignment1\u4e0b\u8f7d\u7f51\u5740\uff1a https://github.com/snme/cs106L-assignment1 Assignment2\u4e0b\u8f7d\u7f51\u5740\uff1a https://github.com/snme/cs106L-assignment2 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u5177\u4f53\u5185\u5bb9\u89c1\u8bfe\u7a0b\u7f51\u7ad9\uff0c\u6211\u505a\u7684\u65f6\u5019\u4e00\u5171\u662f\u4e24\u4e2a\uff1a \u5b9e\u73b0\u4e00\u4e2a WikiRacer \u7684\u5c0f\u6e38\u620f \u5b9e\u73b0\u4e00\u4e2a\u7c7b\u4f3c STL \u5e93\u7684 HashMap \u8d44\u6e90\u6c47\u603b @PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/CS106L - GitHub \u4e2d\u3002","title":"Stanford CS106L: Standard C++ Programming"},{"location":"%E7%BC%96%E7%A8%8B%E5%85%A5%E9%97%A8/CS106L/#cs106l-standard-c-programming","text":"","title":"CS106L: Standard C++ Programming"},{"location":"%E7%BC%96%E7%A8%8B%E5%85%A5%E9%97%A8/CS106L/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1a\u6700\u597d\u638c\u63e1\u81f3\u5c11\u4e00\u95e8\u7f16\u7a0b\u8bed\u8a00 \u7f16\u7a0b\u8bed\u8a00\uff1aC++ \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a20 \u5c0f\u65f6 \u6211\u4ece\u5927\u4e00\u5f00\u59cb\u4e00\u76f4\u90fd\u662f\u5199\u7684 C++ \u4ee3\u7801\uff0c\u76f4\u5230\u5b66\u5b8c\u8fd9\u95e8\u8bfe\u6211\u624d\u610f\u8bc6\u5230\uff0c\u6211\u5199\u7684 C++ \u4ee3\u7801\u5927\u6982\u53ea\u662f C \u8bed\u8a00 + cin / cout \u800c\u5df2\u3002 \u8fd9\u95e8\u8bfe\u4f1a\u6df1\u5165\u5230\u5f88\u591a\u6807\u51c6 C++ \u7684\u7279\u6027\u548c\u8bed\u6cd5\uff0c\u8ba9\u4f60\u7f16\u5199\u51fa\u9ad8\u8d28\u91cf\u7684 C++ \u4ee3\u7801\u3002\u4f8b\u5982 auto binding, uniform initialization, lambda function, move semantics\uff0cRAII \u7b49\u6280\u5de7\u90fd\u5728\u6211\u6b64\u540e\u7684\u4ee3\u7801\u751f\u6daf\u4e2d\u88ab\u53cd\u590d\u7528\u5230\uff0c\u975e\u5e38\u5b9e\u7528\u3002 \u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0c\u8fd9\u95e8\u8bfe\u7684\u4f5c\u4e1a\u91cc\u4f60\u4f1a\u5b9e\u73b0\u4e00\u4e2a HashMap\uff08\u7c7b\u4f3c\u4e8e STL \u4e2d\u7684 unordered_map ), \u8fd9\u4e2a\u4f5c\u4e1a\u51e0\u4e4e\u628a\u6574\u4e2a\u8bfe\u7a0b\u4e32\u8054\u4e86\u8d77\u6765\uff0c\u975e\u5e38\u8003\u9a8c\u4ee3\u7801\u80fd\u529b\u3002\u7279\u522b\u662f iterator \u7684\u5b9e\u73b0\uff0c\u505a\u5b8c\u8fd9\u4e2a\u4f5c\u4e1a\u6211\u5f00\u59cb\u7406\u89e3\u4e3a\u4ec0\u4e48 Linus \u5bf9 C/C++ \u55e4\u4e4b\u4ee5\u9f3b\u4e86\uff0c\u56e0\u4e3a\u771f\u7684\u5f88\u96be\u5199\u5bf9\u3002 \u603b\u7684\u6765\u8bb2\u8fd9\u95e8\u8bfe\u5e76\u4e0d\u96be\uff0c\u4f46\u662f\u4fe1\u606f\u91cf\u5f88\u5927\uff0c\u9700\u8981\u4f60\u5728\u4e4b\u540e\u7684\u5f00\u53d1\u5b9e\u8df5\u4e2d\u53cd\u590d\u5de9\u56fa\u3002Stanford \u4e4b\u6240\u4ee5\u5355\u5f00\u4e00\u95e8 C++ \u7684\u7f16\u7a0b\u8bfe\uff0c\u662f\u56e0\u4e3a\u5b83\u540e\u7eed\u7684\u5f88\u591a CS \u8bfe\u7a0b Project \u90fd\u662f\u57fa\u4e8e C++\u7684\u3002\u4f8b\u5982 CS144 \u8ba1\u7b97\u673a\u7f51\u7edc\u548c CS143 \u7f16\u8bd1\u5668\u3002\u8fd9\u4e24\u95e8\u8bfe\u5728\u672c\u4e66\u4e2d\u5747\u6709\u6536\u5f55\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E7%BC%96%E7%A8%8B%E5%85%A5%E9%97%A8/CS106L/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a http://web.stanford.edu/class/cs106l/ \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.youtube.com/channel/UCSqr6y-eaQT_qZJVUm_4QxQ/playlists \u8bfe\u7a0b\u6559\u6750\uff1a http://web.stanford.edu/class/cs106l/full_course_reader.pdf Assignment1\u4e0b\u8f7d\u7f51\u5740\uff1a https://github.com/snme/cs106L-assignment1 Assignment2\u4e0b\u8f7d\u7f51\u5740\uff1a https://github.com/snme/cs106L-assignment2 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u5177\u4f53\u5185\u5bb9\u89c1\u8bfe\u7a0b\u7f51\u7ad9\uff0c\u6211\u505a\u7684\u65f6\u5019\u4e00\u5171\u662f\u4e24\u4e2a\uff1a \u5b9e\u73b0\u4e00\u4e2a WikiRacer \u7684\u5c0f\u6e38\u620f \u5b9e\u73b0\u4e00\u4e2a\u7c7b\u4f3c STL \u5e93\u7684 HashMap","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E7%BC%96%E7%A8%8B%E5%85%A5%E9%97%A8/CS106L/#_3","text":"@PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/CS106L - GitHub \u4e2d\u3002","title":"\u8d44\u6e90\u6c47\u603b"},{"location":"%E7%BC%96%E7%A8%8B%E5%85%A5%E9%97%A8/CS110L/","text":"CS110L: Safety in Systems Programming \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1a\u6700\u597d\u6709\u4e00\u5b9a\u7684\u7f16\u7a0b\u80cc\u666f\u5e76\u5bf9\u8ba1\u7b97\u673a\u7cfb\u7edf\u6709\u521d\u6b65\u7684\u8ba4\u8bc6\u3002 \u7f16\u7a0b\u8bed\u8a00\uff1aRust \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a30 \u5c0f\u65f6 \u5728\u8fd9\u95e8\u8bfe\u4e2d\u4f60\u5c06\u4f1a\u5b66\u4e60 Rust \u8fd9\u95e8\u795e\u5947\u7684\u8bed\u8a00\u3002 \u5982\u679c\u4f60\u5b66\u8fc7 C \u5e76\u63a5\u89e6\u8fc7\u4e00\u4e9b\u7cfb\u7edf\u7f16\u7a0b\u7684\u8bdd\uff0c\u5e94\u8be5\u5bf9 C \u7684\u5185\u5b58\u6cc4\u6f0f\u4ee5\u53ca\u6307\u9488\u7684\u5371\u9669\u6709\u6240\u8033\u95fb\uff0c\u4f46 C \u7684\u5e95\u5c42\u7279\u6027\u4ee5\u53ca\u9ad8\u6548\u4ecd\u7136\u8ba9\u5b83\u5728\u7cfb\u7edf\u7ea7\u7f16\u7a0b\u4e2d\u65e0\u6cd5\u88ab\u4f8b\u5982 Java \u7b49\u81ea\u5e26\u5783\u573e\u6536\u96c6\u673a\u5236\u7684\u9ad8\u7ea7\u8bed\u8a00\u6240\u66ff\u4ee3\u3002\u800c Rust \u7684\u76ee\u6807\u5219\u662f\u5e0c\u671b\u5728 C \u7684\u9ad8\u6548\u57fa\u7840\u4e0a\uff0c\u5f25\u8865\u5176\u5b89\u5168\u4e0d\u8db3\u7684\u7f3a\u70b9\u3002\u56e0\u6b64 Rust \u5728\u8bbe\u8ba1\u4e4b\u521d\uff0c\u5c31\u6709\u5e26\u6709\u5f88\u591a\u7cfb\u7edf\u7f16\u7a0b\u7684\u89c2\u70b9\u3002\u5b66\u4e60 Rust\uff0c\u4e5f\u80fd\u8ba9\u4f60\u4e4b\u540e\u80fd\u7528 C \u8bed\u8a00\u7f16\u5199\u51fa\u66f4\u5b89\u5168\u66f4\u4f18\u96c5\u7684\u7cfb\u7edf\u7ea7\u4ee3\u7801\uff08\u4f8b\u5982\u64cd\u4f5c\u7cfb\u7edf\u7b49\uff09\u3002 \u8fd9\u95e8\u8bfe\u7684\u540e\u534a\u90e8\u5206\u5173\u6ce8\u5728\u5e76\u53d1\uff08concurrency\uff09\u8fd9\u4e00\u4e3b\u9898\u4e0a\uff0c\u4f60\u5c06\u4f1a\u7cfb\u7edf\u5730\u638c\u63e1\u591a\u8fdb\u7a0b\u3001\u591a\u7ebf\u7a0b\u3001\u57fa\u4e8e\u4e8b\u4ef6\u9a71\u52a8\u7684\u5e76\u53d1\u7b49\u82e5\u5e72\u5e76\u53d1\u6280\u672f\uff0c\u5e76\u5728\u7b2c\u4e8c\u4e2a Project \u4e2d\u6bd4\u8f83\u5b83\u4eec\u5404\u81ea\u7684\u4f18\u52a3\u3002Rust \u4e2d \u201cfutures\u201d \u7684\u6982\u5ff5\u975e\u5e38\u6709\u8da3\u548c\u4f18\u96c5\uff0c\u8fd9\u4e9b\u57fa\u7840\u77e5\u8bc6\u5bf9\u4f60\u540e\u7eed\u5bf9\u8ba1\u7b97\u673a\u7cfb\u7edf\u76f8\u5173\u8bfe\u7a0b\u7684\u5b66\u4e60\u5f88\u6709\u5e2e\u52a9\u3002\u53e6\u5916\uff0c\u6e05\u534e\u5927\u5b66\u7684\u64cd\u7edf\u5b9e\u9a8c rCore \u5c31\u662f\u57fa\u4e8e Rust \u7f16\u5199\u7684\uff0c\u5177\u4f53\u53c2\u89c1 \u6587\u6863 \u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://reberhardt.com/cs110l/spring-2020/ \u8bfe\u7a0b\u89c6\u9891\uff1a https://youtu.be/j7AQrtLevUE \u8bfe\u7a0b\u6559\u6750\uff1a\u65e0 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u5171 6 \u4e2a Lab \u548c 2 \u4e2a Project\uff0c\u4f5c\u4e1a\u6587\u6863\u548c\u4ee3\u7801\u6846\u67b6\u8be6\u89c1\u8bfe\u7a0b\u7f51\u7ad9\u3002\u5176\u4e2d\u4e24\u4e2a Project \u975e\u5e38\u6709\u8da3\uff0c\u5206\u522b\u662f\uff1a \u7528 Rust \u5b9e\u73b0\u4e00\u4e2a\u7c7b\u4f3c\u4e8e GDB \u7684 debugger \u7528 Rust 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http://composingprograms.com/ \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u8bfe\u7a0b\u7f51\u7ad9\u4f1a\u6709\u6bcf\u4e2a\u4f5c\u4e1a\u5bf9\u5e94\u7684\u6587\u6863\u94fe\u63a5\u4ee5\u53ca\u4ee3\u7801\u6846\u67b6\u7684\u4e0b\u8f7d\u94fe\u63a5\u3002 \u8d44\u6e90\u6c47\u603b @PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPic/CS61A - GitHub \u4e2d\u3002","title":"UCB CS61A: Structure and Interpretation of Computer Programs"},{"location":"%E7%BC%96%E7%A8%8B%E5%85%A5%E9%97%A8/CS61A/#cs61a-structure-and-interpretation-of-computer-programs","text":"","title":"CS61A: Structure and Interpretation of Computer Programs"},{"location":"%E7%BC%96%E7%A8%8B%E5%85%A5%E9%97%A8/CS61A/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aUC Berkeley \u5148\u4fee\u8981\u6c42\uff1a\u65e0 \u7f16\u7a0b\u8bed\u8a00\uff1aPython, Scheme, SQL \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f 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\u4f1a\u6709\u4e9b\u61f5\u5708\uff09\u3002 \u8bfe\u7a0b\u5185\u5bb9\u5305\u62ec \u5927\u90e8\u5206 \u81ea\u9876\u5411\u4e0b\u65b9\u6cd5\u91cc\u7684\u5185\u5bb9\uff0c\u540c\u65f6 \u6db5\u76d6 \u8003\u8bd5\u5185\u5bb9\uff0c\u53ef\u653e\u5fc3\u89c2\u770b\u3002 \u8bfe\u7a0b\u89c6\u9891\u662f\u90d1\u70c7\u8001\u5e08\u672c\u4eba\u5728\u54d4\u54e9\u54d4\u54e9\u4e0a\u4e0a\u4f20\u7684\uff0c\u4e14\u4ece2020\u5e74\u81f3\u4eca\u4e00\u76f4\u575a\u6301\u5728\u8bc4\u8bba\u533a\u7b54\u7591\uff0c\u5c5e\u5b9e\u8d1f\u8d23\u4e14\u8ba4\u771f\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E8%AE%A1%E7%AE%97%E6%9C%BA%E7%BD%91%E7%BB%9C/topdown_ustc/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a http://staff.ustc.edu.cn/~qzheng/teaching.html \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.bilibili.com/video/BV1JV411t7ow/ \u8bfe\u7a0b\u8bfe\u4ef6\uff1a http://staff.ustc.edu.cn/~qzheng/cn.zip \u8bfe\u7a0b\u6559\u6750\uff1a\u8ba1\u7b97\u673a\u7f51\u7edc\uff08\u81ea\u9876\u5411\u4e0b\u65b9\u6cd5 \u7b2c7\u7248\uff09\uff0c\u673a\u68b0\u5de5\u4e1a\u51fa\u7248\u793e\uff0c2016","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E8%BD%AF%E4%BB%B6%E5%B7%A5%E7%A8%8B/6031/","text":"MIT 6.031: Software Construction \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1a\u638c\u63e1\u81f3\u5c11\u4e00\u95e8\u7f16\u7a0b\u8bed\u8a00 \u7f16\u7a0b\u8bed\u8a00\uff1aJava \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a100 \u5c0f\u65f6 \u8fd9\u95e8\u8bfe\u7684\u76ee\u6807\u5c31\u662f\u8ba9\u5b66\u751f\u5b66\u4f1a\u5982\u4f55\u5199\u51fa\u9ad8\u8d28\u91cf\u7684\u4ee3\u7801\uff0c\u6240\u8c13\u9ad8\u8d28\u91cf\uff0c\u5219\u662f\u6ee1\u8db3\u4e0b\u9762\u4e09\u4e2a\u76ee\u6807\uff08\u8bfe\u7a0b\u8bbe\u8ba1\u8005\u539f\u8bdd\u590d\u5236\uff0c\u4ee5\u9632\u81ea\u5df1\u7ffb\u8bd1\u66f2\u89e3\u672c\u610f\uff09\uff1a Safe from bugs. Correctness (correct behavior right now) and defensiveness (correct behavior in the future) are required in any software we build. Easy to understand. The code has to communicate to future programmers who need to understand it and make changes in it (fixing bugs or adding new features). That future programmer might be you, months or years from now. You\u2019ll be surprised how much you forget if you don\u2019t write it down, and how much it helps your own future self to have a good design. Ready for change. Software always changes. Some designs make it easy to make changes; others require throwing away and rewriting a lot of code. \u4e3a\u6b64\uff0c\u8fd9\u95e8\u8bfe\u7684\u8bbe\u8ba1\u8005\u4eec\u7cbe\u5fc3\u7f16\u5199\u4e86\u4e00\u672c\u4e66\u6765\u9610\u91ca\u8bf8\u591a\u8f6f\u4ef6\u6784\u5efa\u7684\u6838\u5fc3\u539f\u5219\u4e0e\u524d\u4eba\u603b\u7ed3\u4e0b\u6765\u7684\u5b9d\u8d35\u7ecf\u9a8c\uff0c\u5185\u5bb9\u7ec6\u8282\u5230\u5982\u4f55\u7f16\u5199\u6ce8\u91ca\u548c\u51fd\u6570 Specification\uff0c\u5982\u4f55\u8bbe\u8ba1\u62bd\u8c61\u6570\u636e\u7ed3\u6784\u4ee5\u53ca\u8bf8\u591a\u5e76\u884c\u7f16\u7a0b\u7684\u5185\u5bb9\uff0c\u5e76\u4e14\u4f1a\u8ba9\u4f60\u5728\u7cbe\u5fc3\u8bbe\u8ba1\u7684 Java \u7f16\u7a0b\u9879\u76ee\u91cc\u4f53\u9a8c\u548c\u7ec3\u4e60\u8fd9\u4e9b\u7f16\u7a0b\u6a21\u5f0f\u3002 2016\u5e74\u6625\u5b63\u5b66\u671f\u8fd9\u95e8\u8bfe\u5f00\u6e90\u4e86\u5176\u6240\u6709\u7f16\u7a0b\u4f5c\u4e1a\u7684\u4ee3\u7801\u6846\u67b6\uff0c\u800c\u6700\u65b0\u7684\u8bfe\u7a0b\u6559\u6750\u53ef\u4ee5\u5728\u5176\u6700\u65b0\u7684\u6559\u5b66\u7f51\u7ad9\u4e0a\u627e\u5230\uff0c\u5177\u4f53\u94fe\u63a5\u53c2\u89c1\u4e0b\u65b9\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a 2021spring , 2016spring \u8bfe\u7a0b\u89c6\u9891\uff1a\u65e0 \u8bfe\u7a0b\u6559\u6750\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9\u7684\u8bfe\u7a0b notes \u8bfe\u7a0b\u4f5c\u4e1a\uff1a4 \u4e2a\u7f16\u7a0b\u4f5c\u4e1a + 1 \u4e2a Project \u8d44\u6e90\u6c47\u603b @PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/MIT6.031-software-construction - GitHub \u4e2d\u3002 @pengzhangzhi \u5b8c\u6210\u4e86\u8fd9\u95e8\u8bfe\u7684\u4f5c\u4e1a\u5e76\u8bb0\u5f55\u4e86\u7b14\u8bb0, \u4ee3\u7801\u5f00\u6e90\u5728 pengzhangzhi/self-taught-CS/Software Construction - Github \u3002","title":"MIT 6.031: Software Construction"},{"location":"%E8%BD%AF%E4%BB%B6%E5%B7%A5%E7%A8%8B/6031/#mit-6031-software-construction","text":"","title":"MIT 6.031: Software Construction"},{"location":"%E8%BD%AF%E4%BB%B6%E5%B7%A5%E7%A8%8B/6031/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1a\u638c\u63e1\u81f3\u5c11\u4e00\u95e8\u7f16\u7a0b\u8bed\u8a00 \u7f16\u7a0b\u8bed\u8a00\uff1aJava \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a100 \u5c0f\u65f6 \u8fd9\u95e8\u8bfe\u7684\u76ee\u6807\u5c31\u662f\u8ba9\u5b66\u751f\u5b66\u4f1a\u5982\u4f55\u5199\u51fa\u9ad8\u8d28\u91cf\u7684\u4ee3\u7801\uff0c\u6240\u8c13\u9ad8\u8d28\u91cf\uff0c\u5219\u662f\u6ee1\u8db3\u4e0b\u9762\u4e09\u4e2a\u76ee\u6807\uff08\u8bfe\u7a0b\u8bbe\u8ba1\u8005\u539f\u8bdd\u590d\u5236\uff0c\u4ee5\u9632\u81ea\u5df1\u7ffb\u8bd1\u66f2\u89e3\u672c\u610f\uff09\uff1a Safe from bugs. Correctness (correct behavior right now) and defensiveness (correct behavior in the future) are required in any software we build. Easy to understand. The code has to communicate to future programmers who need to understand it and make changes in it (fixing bugs or adding new features). That future programmer might be you, months or years from now. You\u2019ll be surprised how much you forget if you don\u2019t write it down, and how much it helps your own future self to have a good design. Ready for change. Software always changes. Some designs make it easy to make changes; others require throwing away and rewriting a lot of code. \u4e3a\u6b64\uff0c\u8fd9\u95e8\u8bfe\u7684\u8bbe\u8ba1\u8005\u4eec\u7cbe\u5fc3\u7f16\u5199\u4e86\u4e00\u672c\u4e66\u6765\u9610\u91ca\u8bf8\u591a\u8f6f\u4ef6\u6784\u5efa\u7684\u6838\u5fc3\u539f\u5219\u4e0e\u524d\u4eba\u603b\u7ed3\u4e0b\u6765\u7684\u5b9d\u8d35\u7ecf\u9a8c\uff0c\u5185\u5bb9\u7ec6\u8282\u5230\u5982\u4f55\u7f16\u5199\u6ce8\u91ca\u548c\u51fd\u6570 Specification\uff0c\u5982\u4f55\u8bbe\u8ba1\u62bd\u8c61\u6570\u636e\u7ed3\u6784\u4ee5\u53ca\u8bf8\u591a\u5e76\u884c\u7f16\u7a0b\u7684\u5185\u5bb9\uff0c\u5e76\u4e14\u4f1a\u8ba9\u4f60\u5728\u7cbe\u5fc3\u8bbe\u8ba1\u7684 Java \u7f16\u7a0b\u9879\u76ee\u91cc\u4f53\u9a8c\u548c\u7ec3\u4e60\u8fd9\u4e9b\u7f16\u7a0b\u6a21\u5f0f\u3002 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\uff0c\u73af\u5883\u53d8\u91cf\uff0cAnaconda ... \u7ecf\u5178\u4e66\u7c4d\u63a8\u8350\uff1a\u770b\u8fc7 CSAPP \u8fd9\u672c\u4e66\u7684\u540c\u5b66\u4e00\u5b9a\u611f\u53f9\u597d\u4e66\u7684\u91cd\u8981\uff0c\u6211\u5c06\u5217\u4e3e\u63a8\u8350\u81ea\u5df1\u770b\u8fc7\u7684\u8ba1\u7b97\u673a\u9886\u57df\u7684\u5fc5\u770b\u597d\u4e66\u4e0e\u8d44\u6e90\u94fe\u63a5\u3002","title":"\u524d\u8a00"},{"location":"#cs61a","text":"\u5927\u4e00\u5165\u5b66\u65f6\u6211\u662f\u4e00\u4e2a\u5bf9\u8ba1\u7b97\u673a\u4e00\u65e0\u6240\u77e5\u7684\u5c0f\u767d\uff0c\u88c5\u4e86\u51e0\u5341\u4e2a G \u7684 Visual Studio \u5929\u5929\u548c OJ \u4f60\u6b7b\u6211\u6d3b\u3002\u51ed\u7740\u9ad8\u4e2d\u7684\u6570\u5b66\u5e95\u5b50\u6211\u6570\u5b66\u8bfe\u5b66\u5f97\u8fd8\u4e0d\u9519\uff0c\u4f46\u5728\u4e13\u4e1a\u8bfe\u4e0a\u5bf9\u7ade\u8d5b\u5927\u4f6c\u53ea\u6709\u4ef0\u671b\u3002\u63d0\u5230\u7f16\u7a0b\u6211\u53ea\u4f1a\u6253\u5f00\u90a3\u7b28\u91cd\u7684 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Pull Request\uff0c\u4e5f\u6b22\u8fce\u548c\u6211\u90ae\u4ef6\u8054\u7cfb\uff08 zhongyinmin@pku.edu.cn \uff09\u3002","title":"\u4f60\u4e5f\u60f3\u52a0\u5165\u5230\u8d21\u732e\u8005\u7684\u884c\u5217"},{"location":"#_8","text":"\u65b9\u6cd5\u53c2\u89c1\u4ed3\u5e93\u7684 README.md \u3002","title":"\u5173\u4e8e\u4ea4\u6d41\u7fa4\u7684\u5efa\u7acb"},{"location":"CS%E5%AD%A6%E4%B9%A0%E8%A7%84%E5%88%92/","text":"\u4e00\u4e2a\u4ec5\u4f9b\u53c2\u8003\u7684 CS \u5b66\u4e60\u89c4\u5212 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notes\uff0c\u81f3\u5c11\u4e8e\u6211\u800c\u8a00\uff0c\u5b83\u5e2e\u52a9\u6211\u6df1\u523b\u7406\u89e3\u4e86\u5fae\u79ef\u5206\u548c\u7ebf\u6027\u4ee3\u6570\u7684\u8bb8\u591a\u672c\u8d28\u3002\u987a\u9053\u518d\u5b89\u5229\u4e00\u4e2a\u6cb9\u7ba1\u6570\u5b66\u7f51\u7ea2 3Blue1Brown \uff0c\u4ed6\u7684\u9891\u9053\u6709\u5f88\u591a\u7528\u751f\u52a8\u5f62\u8c61\u7684\u52a8\u753b\u9610\u91ca\u6570\u5b66\u672c\u8d28\u5185\u6838\u7684\u89c6\u9891\uff0c\u517c\u5177\u6df1\u5ea6\u548c\u5e7f\u5ea6\uff0c\u8d28\u91cf\u975e\u5e38\u9ad8\u3002 \u4fe1\u606f\u8bba\u5165\u95e8 \u4f5c\u4e3a\u8ba1\u7b97\u673a\u7cfb\u7684\u5b66\u751f\uff0c\u53ca\u65e9\u4e86\u89e3\u4e00\u4e9b\u4fe1\u606f\u8bba\u7684\u57fa\u7840\u77e5\u8bc6\uff0c\u6211\u89c9\u5f97\u662f\u5927\u6709\u88e8\u76ca\u7684\u3002\u4f46\u5927\u591a\u4fe1\u606f\u8bba\u8bfe\u7a0b\u90fd\u9762\u5411\u9ad8\u5e74\u7ea7\u672c\u79d1\u751f\u751a\u81f3\u7814\u7a76\u751f\uff0c\u5bf9\u65b0\u624b\u6781\u4e0d\u53cb\u597d\u3002\u800c MIT \u7684 6.050J: Information theory and Entropy \u8fd9\u95e8\u8bfe\u6b63\u662f\u4e3a\u5927\u4e00\u65b0\u751f\u91cf\u8eab\u5b9a\u5236\u7684\uff0c\u51e0\u4e4e\u6ca1\u6709\u5148\u4fee\u8981\u6c42\uff0c\u6db5\u76d6\u4e86\u7f16\u7801\u3001\u538b\u7f29\u3001\u901a\u4fe1\u3001\u4fe1\u606f\u71b5\u7b49\u7b49\u5185\u5bb9\uff0c\u975e\u5e38\u6709\u8da3\u3002 \u6570\u5b66\u8fdb\u9636 \u79bb\u6563\u6570\u5b66\u4e0e\u6982\u7387\u8bba \u96c6\u5408\u8bba\u3001\u56fe\u8bba\u3001\u6982\u7387\u8bba\u7b49\u7b49\u662f\u7b97\u6cd5\u63a8\u5bfc\u4e0e\u8bc1\u660e\u7684\u91cd\u8981\u5de5\u5177\uff0c\u4e5f\u662f\u540e\u7eed\u9ad8\u9636\u6570\u5b66\u8bfe\u7a0b\u7684\u57fa\u7840\u3002\u4f46\u6211\u89c9\u5f97\u8fd9\u7c7b\u8bfe\u7a0b\u7684\u8bb2\u6388\u5f88\u5bb9\u6613\u843d\u5165\u7406\u8bba\u5316\u4e0e\u5f62\u5f0f\u5316\u7684\u7aa0\u81fc\uff0c\u8ba9\u8bfe\u5802\u6210\u4e3a\u5b9a\u7406\u7ed3\u8bba\u7684\u5806\u780c\uff0c\u800c\u65e0\u6cd5\u4f7f\u5b66\u751f\u6df1\u523b\u628a\u63e1\u7406\u8bba\u7684\u672c\u8d28\uff0c\u8fdb\u800c\u9020\u6210\u5b66\u4e86\u5c31\u80cc\uff0c\u8003\u4e86\u5c31\u5fd8\u7684\u602a\u5708\u3002\u5982\u679c\u80fd\u5728\u7406\u8bba\u6559\u5b66\u4e2d\u7a7f\u63d2\u7b97\u6cd5\u8fd0\u7528\u5b9e\u4f8b\uff0c\u5b66\u751f\u5728\u62d3\u5c55\u7b97\u6cd5\u77e5\u8bc6\u7684\u540c\u65f6\u4e5f\u80fd\u7aa5\u89c1\u7406\u8bba\u7684\u529b\u91cf\u548c\u9b45\u529b\u3002 UCB CS70 : discrete Math and probability theory \u548c UCB CS126 : Probability theory \u662f UC Berkeley \u7684\u6982\u7387\u8bba\u8bfe\u7a0b\uff0c\u524d\u8005\u8986\u76d6\u4e86\u79bb\u6563\u6570\u5b66\u548c\u6982\u7387\u8bba\u57fa\u7840\uff0c\u540e\u8005\u5219\u6d89\u53ca\u968f\u673a\u8fc7\u7a0b\u4ee5\u53ca\u6df1\u5165\u7684\u7406\u8bba\u5185\u5bb9\u3002\u4e24\u8005\u90fd\u975e\u5e38\u6ce8\u91cd\u7406\u8bba\u548c\u5b9e\u8df5\u7684\u7ed3\u5408\uff0c\u6709\u4e30\u5bcc\u7684\u7b97\u6cd5\u5b9e\u9645\u8fd0\u7528\u5b9e\u4f8b\uff0c\u540e\u8005\u8fd8\u6709\u5927\u91cf\u7684Python\u7f16\u7a0b\u4f5c\u4e1a\u6765\u8ba9\u5b66\u751f\u8fd0\u7528\u6982\u7387\u8bba\u7684\u77e5\u8bc6\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\u3002 \u6570\u503c\u5206\u6790 \u4f5c\u4e3a\u8ba1\u7b97\u673a\u7cfb\u7684\u5b66\u751f\uff0c\u57f9\u517b\u8ba1\u7b97\u601d\u7ef4\u662f\u5f88\u91cd\u8981\u7684\uff0c\u5b9e\u9645\u95ee\u9898\u7684\u5efa\u6a21\u3001\u79bb\u6563\u5316\uff0c\u8ba1\u7b97\u673a\u7684\u6a21\u62df\u3001\u5206\u6790\uff0c\u662f\u4e00\u9879\u5f88\u91cd\u8981\u7684\u80fd\u529b\u3002\u800c\u8fd9\u4e24\u5e74\u5f00\u59cb\u98ce\u9761\u7684\uff0c\u7531 MIT \u6253\u9020\u7684 Julia \u7f16\u7a0b\u8bed\u8a00\u4ee5\u5176 C \u4e00\u6837\u7684\u901f\u5ea6\u548c Python \u4e00\u6837\u53cb\u597d\u7684\u8bed\u6cd5\u5728\u6570\u503c\u8ba1\u7b97\u9886\u57df\u6709\u4e00\u7edf\u5929\u4e0b\u4e4b\u52bf\uff0cMIT \u7684\u8bb8\u591a\u6570\u5b66\u8bfe\u7a0b\u4e5f\u5f00\u59cb\u7528 Julia \u4f5c\u4e3a\u6559\u5b66\u5de5\u5177\uff0c\u628a\u8270\u6df1\u7684\u6570\u5b66\u7406\u8bba\u7528\u76f4\u89c2\u6e05\u6670\u7684\u4ee3\u7801\u5c55\u793a\u51fa\u6765\u3002 ComputationalThinking \u662f MIT \u5f00\u8bbe\u7684\u4e00\u95e8\u8ba1\u7b97\u601d\u7ef4\u5165\u95e8\u8bfe\uff0c\u6240\u6709\u8bfe\u7a0b\u5185\u5bb9\u5168\u90e8\u5f00\u6e90\uff0c\u53ef\u4ee5\u5728\u8bfe\u7a0b\u7f51\u7ad9\u76f4\u63a5\u8bbf\u95ee\u3002\u8fd9\u95e8\u8bfe\u5229\u7528 Julia \u7f16\u7a0b\u8bed\u8a00\uff0c\u5728\u56fe\u50cf\u5904\u7406\u3001\u793e\u4f1a\u79d1\u5b66\u4e0e\u6570\u636e\u79d1\u5b66\u3001\u6c14\u5019\u5b66\u5efa\u6a21\u4e09\u4e2a topic \u4e0b\u5e26\u9886\u5b66\u751f\u7406\u89e3\u7b97\u6cd5\u3001\u6570\u5b66\u5efa\u6a21\u3001\u6570\u636e\u5206\u6790\u3001\u4ea4\u4e92\u8bbe\u8ba1\u3001\u56fe\u4f8b\u5c55\u793a\uff0c\u8ba9\u5b66\u751f\u4f53\u9a8c\u8ba1\u7b97\u4e0e\u79d1\u5b66\u7684\u7f8e\u5999\u7ed3\u5408\u3002\u5185\u5bb9\u867d\u7136\u4e0d\u96be\uff0c\u4f46\u7ed9\u6211\u6700\u6df1\u523b\u7684\u611f\u53d7\u5c31\u662f\uff0c\u79d1\u5b66\u7684\u9b45\u529b\u5e76\u4e0d\u662f\u6545\u5f04\u7384\u865a\u7684\u8270\u6df1\u7406\u8bba\uff0c\u4e0d\u662f\u8bd8\u5c48\u8071\u7259\u7684\u672f\u8bed\u884c\u8bdd\uff0c\u800c\u662f\u7528\u76f4\u89c2\u751f\u52a8\u7684\u6848\u4f8b\uff0c\u7528\u7b80\u7ec3\u6df1\u523b\u7684\u8bed\u8a00\uff0c\u8ba9\u6bcf\u4e2a\u666e\u901a\u4eba\u90fd\u80fd\u7406\u89e3\u3002 \u4e0a\u5b8c\u4e0a\u9762\u7684\u4f53\u9a8c\u8bfe\u4e4b\u540e\uff0c\u5982\u679c\u610f\u72b9\u672a\u5c3d\u7684\u8bdd\uff0c\u4e0d\u59a8\u8bd5\u8bd5 MIT \u7684 18.330 : Introduction to numerical analysis \uff0c\u8fd9\u95e8\u8bfe\u7684\u7f16\u7a0b\u4f5c\u4e1a\u540c\u6837\u4f1a\u7528 Julia \u7f16\u7a0b\u8bed\u8a00\uff0c\u4e0d\u8fc7\u96be\u5ea6\u548c\u6df1\u5ea6\u4e0a\u90fd\u4e0a\u4e86\u4e00\u4e2a\u53f0\u9636\u3002\u5185\u5bb9\u6d89\u53ca\u4e86\u6d6e\u70b9\u7f16\u7801\u3001Root finding\u3001\u7ebf\u6027\u7cfb\u7edf\u3001\u5fae\u5206\u65b9\u7a0b\u7b49\u7b49\u65b9\u9762\uff0c\u6574\u95e8\u8bfe\u7684\u4e3b\u65e8\u5c31\u662f\u8ba9\u4f60\u5229\u7528\u79bb\u6563\u5316\u7684\u8ba1\u7b97\u673a\u8868\u793a\u53bb\u4f30\u8ba1\u548c\u903c\u8fd1\u4e00\u4e2a\u6570\u5b66\u4e0a\u8fde\u7eed\u7684\u6982\u5ff5\u3002\u8fd9\u95e8\u8bfe\u7684\u6559\u6388\u8fd8\u4e13\u95e8\u64b0\u5199\u4e86\u4e00\u672c\u914d\u5957\u7684\u5f00\u6e90\u6559\u6750 Fundamentals of Numerical Computation \uff0c\u91cc\u9762\u9644\u6709\u4e30\u5bcc\u7684 Julia \u4ee3\u7801\u5b9e\u4f8b\u548c\u4e25\u8c28\u7684\u516c\u5f0f\u63a8\u5bfc\u3002 \u5982\u679c\u4f60\u8fd8\u610f\u72b9\u672a\u5c3d\u7684\u8bdd\uff0c\u8fd8\u6709 MIT \u7684\u7814\u7a76\u751f\u8bfe\u7a0b 18.335: Introduction to numerical method \u4f9b\u4f60\u53c2\u8003\u3002 \u5fae\u5206\u65b9\u7a0b \u5982\u679c\u4e16\u95f4\u4e07\u7269\u7684\u8fd0\u52a8\u53d1\u5c55\u90fd\u80fd\u7528\u65b9\u7a0b\u6765\u523b\u753b\u548c\u63cf\u8ff0\uff0c\u8fd9\u662f\u4e00\u4ef6\u591a\u4e48\u9177\u7684\u4e8b\u60c5\u5440\uff01\u867d\u7136\u51e0\u4e4e\u4efb\u4f55\u4e00\u6240\u5b66\u6821\u7684 CS \u57f9\u517b\u65b9\u6848\u4e2d\u90fd\u6ca1\u6709\u5fae\u5206\u65b9\u7a0b\u76f8\u5173\u7684\u5fc5\u4fee\u8bfe\u7a0b\uff0c\u4f46\u6211\u8fd8\u662f\u89c9\u5f97\u638c\u63e1\u5b83\u4f1a\u8d4b\u4e88\u4f60\u4e00\u4e2a\u65b0\u7684\u89c6\u89d2\u6765\u5ba1\u89c6\u8fd9\u4e2a\u4e16\u754c\u3002 \u7531\u4e8e\u5fae\u5206\u65b9\u7a0b\u4e2d\u5f80\u5f80\u4f1a\u7528\u5230\u5f88\u591a\u590d\u53d8\u51fd\u6570\u7684\u77e5\u8bc6\uff0c\u6240\u4ee5\u5927\u5bb6\u53ef\u4ee5\u53c2\u8003 MIT18.04: Complex variables functions \u7684\u8bfe\u7a0b notes \u6765\u8865\u9f50\u5148\u4fee\u77e5\u8bc6\u3002 MIT18.03: differential equations ) \u4e3b\u8981\u8986\u76d6\u4e86\u5e38\u5fae\u5206\u65b9\u7a0b\u7684\u6c42\u89e3\uff0c\u5728\u6b64\u57fa\u7840\u4e4b\u4e0a MIT18.152: Partial differential equations ) \u5219\u4f1a\u6df1\u5165\u504f\u5fae\u5206\u65b9\u7a0b\u7684\u5efa\u6a21\u4e0e\u6c42\u89e3\u3002\u638c\u63e1\u4e86\u5fae\u5206\u65b9\u7a0b\u8fd9\u4e00\u6709\u5229\u5de5\u5177\uff0c\u76f8\u4fe1\u5bf9\u4e8e\u4f60\u7684\u5b9e\u9645\u95ee\u9898\u7684\u5efa\u6a21\u80fd\u529b\u4ee5\u53ca\u4ece\u4f17\u591a\u566a\u58f0\u53d8\u91cf\u4e2d\u628a\u63e1\u672c\u8d28\u7684\u76f4\u89c9\u90fd\u4f1a\u6709\u5f88\u5927\u5e2e\u52a9\u3002 \u6570\u5b66\u9ad8\u9636 \u4f5c\u4e3a\u8ba1\u7b97\u673a\u7cfb\u7684\u5b66\u751f\uff0c\u6211\u7ecf\u5e38\u542c\u5230\u6570\u5b66\u65e0\u7528\u8bba\u7684\u8bba\u65ad\uff0c\u5bf9\u6b64\u6211\u4e0d\u6562\u82df\u540c\u4f46\u4e5f\u65e0\u6743\u53cd\u5bf9\uff0c\u4f46\u82e5\u51e1\u4e8b\u90fd\u786c\u8981\u4e89\u51fa\u4e2a\u6709\u7528\u548c\u65e0\u7528\u7684\u533a\u522b\u6765\uff0c\u5012\u4e5f\u7740\u5b9e\u65e0\u8da3\uff0c\u56e0\u6b64\u4e0b\u9762\u8fd9\u4e9b\u9762\u5411\u9ad8\u5e74\u7ea7\u751a\u81f3\u7814\u7a76\u751f\u7684\u6570\u5b66\u8bfe\u7a0b\uff0c\u5927\u5bb6\u6309\u5174\u8da3\u81ea\u53d6\u6240\u9700\u3002 \u51f8\u4f18\u5316 Standford EE364A: Convex Optimization \u4fe1\u606f\u8bba MIT6.441: Information Theory \u5e94\u7528\u7edf\u8ba1\u5b66 MIT18.650: Statistics for Applications \u521d\u7b49\u6570\u8bba MIT18.781: Theory of Numbers \u5bc6\u7801\u5b66 Standford CS255: Cryptography \u7f16\u7a0b\u5165\u95e8 Languages are tools, you choose the right tool to do the right thing. Since there's no universally perfect tool, there's no universally perfect language. Shell MIT-Missing-Semester Python Harvard CS50: This is CS50x \u6700\u597d\u7684\u8ba1\u7b97\u673a\u57fa\u7840\u5165\u95e8\u8bfe\uff0c\u4f60\u7edd\u5bf9\u4f1a\u7231\u4e0a\u7684\u3002 UCB CS61A: Structure and Interpretation of Computer Programs C++ Stanford CS106B/X: Programming Abstractions Stanford CS106L: Standard C++ Programming Rust Stanford CS110L: Safety in Systems Programming OCaml Cornell CS3110 textbook: Functional Programming in OCaml \u7535\u5b50\u57fa\u7840 \u7535\u8def\u57fa\u7840 \u4f5c\u4e3a\u8ba1\u7b97\u673a\u7cfb\u7684\u5b66\u751f\uff0c\u4e86\u89e3\u4e00\u4e9b\u57fa\u7840\u7684\u7535\u8def\u77e5\u8bc6\uff0c\u611f\u53d7\u4ece\u4f20\u611f\u5668\u6536\u96c6\u6570\u636e\u5230\u6570\u636e\u5206\u6790\u518d\u5230\u7b97\u6cd5\u9884\u6d4b\u6574\u6761\u6d41\u6c34\u7ebf\uff0c\u5bf9\u4e8e\u540e\u7eed\u77e5\u8bc6\u7684\u5b66\u4e60\u4ee5\u53ca\u8ba1\u7b97\u601d\u7ef4\u7684\u57f9\u517b\u8fd8\u662f\u5f88\u6709\u5e2e\u52a9\u7684\u3002 EE16A&B: Designing Information Devices and Systems I&II \u662f\u4f2f\u514b\u5229 EE \u5b66\u751f\u7684\u5927\u4e00\u5165\u95e8\u8bfe\uff0c\u5176\u4e2d EE16A \u6ce8\u91cd\u901a\u8fc7\u7535\u8def\u4ece\u5b9e\u9645\u73af\u5883\u4e2d\u6536\u96c6\u548c\u5206\u6790\u6570\u636e\uff0c\u800c EE16B \u5219\u4fa7\u91cd\u4ece\u8fd9\u4e9b\u6536\u96c6\u5230\u7684\u6570\u636e\u8fdb\u884c\u5206\u6790\u5e76\u505a\u51fa\u9884\u6d4b\u884c\u4e3a\u3002 \u4fe1\u53f7\u4e0e\u7cfb\u7edf \u4fe1\u53f7\u4e0e\u7cfb\u7edf\u662f\u4e00\u95e8\u6211\u89c9\u5f97\u975e\u5e38\u503c\u5f97\u4e00\u4e0a\u7684\u8bfe\uff0c\u6700\u521d\u5b66\u5b83\u53ea\u662f\u4e3a\u4e86\u6ee1\u8db3\u6211\u5bf9\u5085\u91cc\u53f6\u53d8\u6362\u7684\u597d\u5947\uff0c\u4f46\u5b66\u5b8c\u4e4b\u540e\u6211\u624d\u4e0d\u7981\u611f\u53f9\uff0c\u5085\u7acb\u53f6\u53d8\u6362\u7ed9\u6211\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5168\u65b0\u7684\u89c6\u89d2\u53bb\u770b\u5f85\u8fd9\u4e2a\u4e16\u754c\uff0c\u5c31\u5982\u540c\u5fae\u5206\u65b9\u7a0b\u4e00\u6837\uff0c\u8ba9\u4f60\u6c89\u6d78\u5728\u7528\u6570\u5b66\u53bb\u7cbe\u786e\u63cf\u7ed8\u548c\u523b\u753b\u8fd9\u4e2a\u4e16\u754c\u7684\u4f18\u96c5\u4e0e\u795e\u5947\u4e4b\u4e2d\u3002 MIT 6.003: signal and systems \u63d0\u4f9b\u4e86\u5168\u90e8\u7684\u8bfe\u7a0b\u5f55\u5f71\u3001\u4e66\u9762\u4f5c\u4e1a\u4ee5\u53ca\u7b54\u6848\u3002\u4e5f\u53ef\u4ee5\u53bb\u770b\u8fd9\u95e8\u8bfe\u7684 \u8fdc\u53e4\u7248\u672c \u800c UCB EE120: Signal and Systems \u5173\u4e8e\u5085\u7acb\u53f6\u53d8\u6362\u7684 notes \u5199\u5f97\u975e\u5e38\u597d\uff0c\u5e76\u4e14\u63d0\u4f9b\u4e866 \u4e2a\u975e\u5e38\u6709\u8da3\u7684 Python \u7f16\u7a0b\u4f5c\u4e1a\uff0c\u8ba9\u4f60\u5b9e\u8df5\u4e2d\u8fd0\u7528\u4fe1\u53f7\u4e0e\u7cfb\u7edf\u7684\u7406\u8bba\u4e0e\u7b97\u6cd5\u3002 \u6570\u636e\u7ed3\u6784\u4e0e\u7b97\u6cd5 \u6570\u636e\u7ed3\u6784\u4e0e\u7b97\u6cd5 UCB CS61B: Data Structures and Algorithms Coursera: Algorithms I & II \u7b97\u6cd5\u8bbe\u8ba1\u4e0e\u5206\u6790 UCB CS170: Efficient Algorithms and Intractable Problems \u8f6f\u4ef6\u5de5\u7a0b \u5165\u95e8\u8bfe \u4e00\u4efd\u201c\u80fd\u8dd1\u201d\u7684\u4ee3\u7801\uff0c\u548c\u4e00\u4efd\u9ad8\u8d28\u91cf\u7684\u5de5\u4e1a\u7ea7\u4ee3\u7801\u662f\u6709\u672c\u8d28\u533a\u522b\u7684\u3002\u56e0\u6b64\u6211\u975e\u5e38\u63a8\u8350\u4f4e\u5e74\u7ea7\u7684\u540c\u5b66\u5b66\u4e60\u4e00\u4e0b MIT 6.031: Software Construction \u8fd9\u95e8\u8bfe\uff0c\u5b83\u4f1a\u4ee5 Java \u8bed\u8a00\u4e3a\u57fa\u7840\uff0c\u4ee5\u4e30\u5bcc\u7ec6\u81f4\u7684\u9605\u8bfb\u6750\u6599\u548c\u7cbe\u5fc3\u8bbe\u8ba1\u7684\u7f16\u7a0b\u7ec3\u4e60\u4f20\u6388\u5982\u4f55\u7f16\u5199 \u4e0d\u6613\u51fa bug\u3001\u7b80\u660e\u6613\u61c2\u3001\u6613\u4e8e\u7ef4\u62a4\u4fee\u6539 \u7684\u9ad8\u8d28\u91cf\u4ee3\u7801\u3002\u5927\u5230\u5b8f\u89c2\u6570\u636e\u7ed3\u6784\u8bbe\u8ba1\uff0c\u5c0f\u5230\u5982\u4f55\u5199\u6ce8\u91ca\uff0c\u9075\u5faa\u8fd9\u4e9b\u524d\u4eba\u603b\u7ed3\u7684\u7ec6\u8282\u548c\u7ecf\u9a8c\uff0c\u5bf9\u4e8e\u4f60\u6b64\u540e\u7684\u7f16\u7a0b\u751f\u6daf\u5927\u6709\u88e8\u76ca\u3002 \u4e13\u4e1a\u8bfe \u5f53\u7136\uff0c\u5982\u679c\u4f60\u60f3\u7cfb\u7edf\u6027\u5730\u4e0a\u4e00\u95e8\u8f6f\u4ef6\u5de5\u7a0b\u7684\u8bfe\u7a0b\uff0c\u90a3\u6211\u63a8\u8350\u7684\u662f\u4f2f\u514b\u5229\u7684 UCB CS169: software engineering \u3002\u4f46\u9700\u8981\u63d0\u9192\u7684\u662f\uff0c\u548c\u5927\u591a\u5b66\u6821\uff08\u5305\u62ec\u8d35\u6821\uff09\u7684\u8f6f\u4ef6\u5de5\u7a0b\u8bfe\u7a0b\u4e0d\u540c\uff0c\u8fd9\u95e8\u8bfe\u4e0d\u4f1a\u6d89\u53ca\u4f20\u7edf\u7684 design and document \u6a21\u5f0f\uff0c\u5373\u5f3a\u8c03\u5404\u79cd\u7c7b\u56fe\u3001\u6d41\u7a0b\u56fe\u53ca\u6587\u6863\u8bbe\u8ba1\uff0c\u800c\u662f\u91c7\u7528\u8fd1\u4e9b\u5e74\u6d41\u884c\u8d77\u6765\u7684\u5c0f\u56e2\u961f\u5feb\u901f\u8fed\u4ee3 Agile Develepment \u5f00\u53d1\u6a21\u5f0f\u4ee5\u53ca\u5229\u7528\u4e91\u5e73\u53f0\u7684 Software as a service \u670d\u52a1\u6a21\u5f0f\u3002 \u4f53\u7cfb\u7ed3\u6784 \u5165\u95e8\u8bfe \u4ece\u5c0f\u6211\u5c31\u4e00\u76f4\u542c\u8bf4\uff0c\u8ba1\u7b97\u673a\u7684\u4e16\u754c\u662f\u7531 01 \u6784\u6210\u7684\uff0c\u6211\u4e0d\u7406\u89e3\u4f46\u5927\u53d7\u9707\u64bc\u3002\u5982\u679c\u4f60\u7684\u5185\u5fc3\u4e5f\u6000\u6709\u8fd9\u4efd\u597d\u5947\uff0c\u4e0d\u59a8\u82b1\u4e00\u5230\u4e24\u4e2a\u6708\u7684\u65f6\u95f4\u5b66\u4e60 Coursera: Nand2Tetris \u8fd9\u95e8\u65e0\u95e8\u69db\u7684\u8ba1\u7b97\u673a\u8bfe\u7a0b\u3002\u8fd9\u95e8\u9ebb\u96c0\u867d\u5c0f\u4e94\u810f\u4ff1\u5168\u7684\u8bfe\u7a0b\u4f1a\u4ece 01 \u5f00\u59cb\u8ba9\u4f60\u4eb2\u624b\u9020\u51fa\u4e00\u53f0\u8ba1\u7b97\u673a\uff0c\u5e76\u5728\u4e0a\u9762\u8fd0\u884c\u4fc4\u7f57\u65af\u65b9\u5757\u5c0f\u6e38\u620f\u3002\u4e00\u95e8\u8bfe\u91cc\u6db5\u76d6\u4e86\u7f16\u8bd1\u3001\u865a\u62df\u673a\u3001\u6c47\u7f16\u3001\u4f53\u7cfb\u7ed3\u6784\u3001\u6570\u5b57\u7535\u8def\u3001\u903b\u8f91\u95e8\u7b49\u7b49\u4ece\u4e0a\u81f3\u4e0b\u3001\u4ece\u8f6f\u81f3\u786c\u7684\u5404\u7c7b\u77e5\u8bc6\uff0c\u975e\u5e38\u5168\u9762\u3002\u96be\u5ea6\u4e0a\u4e5f\u662f\u901a\u8fc7\u7cbe\u5fc3\u7684\u8bbe\u8ba1\uff0c\u7565\u53bb\u4e86\u4f17\u591a\u73b0\u4ee3\u8ba1\u7b97\u673a\u590d\u6742\u7684\u7ec6\u8282\uff0c\u63d0\u53d6\u51fa\u4e86\u6700\u6838\u5fc3\u672c\u8d28\u7684\u4e1c\u897f\uff0c\u529b\u56fe\u8ba9\u6bcf\u4e2a\u4eba\u90fd\u80fd\u7406\u89e3\u3002\u5728\u4f4e\u5e74\u7ea7\uff0c\u5982\u679c\u5c31\u80fd\u4ece\u5b8f\u89c2\u4e0a\u5efa\u7acb\u5bf9\u6574\u4e2a\u8ba1\u7b97\u673a\u4f53\u7cfb\u7684\u9e1f\u77b0\u56fe\uff0c\u662f\u5927\u6709\u88e8\u76ca\u7684\u3002 \u4e13\u4e1a\u8bfe \u5f53\u7136\uff0c\u5982\u679c\u60f3\u6df1\u5165\u73b0\u4ee3\u8ba1\u7b97\u673a\u4f53\u7cfb\u7ed3\u6784\u7684\u590d\u6742\u7ec6\u8282\uff0c\u8fd8\u5f97\u4e0a\u4e00\u95e8\u5927\u5b66\u672c\u79d1\u96be\u5ea6\u7684\u8bfe\u7a0b UCB CS61C: Great Ideas in Computer Architecture \u3002UC Berkeley \u4f5c\u4e3a RISC-V \u67b6\u6784\u7684\u53d1\u6e90\u5730\uff0c\u5728\u4f53\u7cfb\u7ed3\u6784\u9886\u57df\u7b97\u5f97\u4e0a\u9996\u5c48\u4e00\u6307\u3002\u5176\u8bfe\u7a0b\u975e\u5e38\u6ce8\u91cd\u5b9e\u8df5\uff0c\u4f60\u4f1a\u5728 Project \u4e2d\u624b\u5199\u6c47\u7f16\u6784\u9020\u795e\u7ecf\u7f51\u7edc\uff0c\u4ece\u96f6\u5f00\u59cb\u642d\u5efa\u4e00\u4e2a CPU\uff0c\u8fd9\u4e9b\u5b9e\u8df5\u90fd\u4f1a\u8ba9\u4f60\u5bf9\u8ba1\u7b97\u673a\u4f53\u7cfb\u7ed3\u6784\u6709\u66f4\u4e3a\u6df1\u5165\u7684\u7406\u89e3\uff0c\u800c\u4e0d\u662f\u4ec5\u505c\u7559\u4e8e\u201c\u53d6\u6307\u8bd1\u7801\u6267\u884c\u8bbf\u5b58\u5199\u56de\u201d\u7684\u5355\u8c03\u80cc\u8bf5\u91cc\u3002 \u7cfb\u7edf\u5165\u95e8 \u8ba1\u7b97\u673a\u7cfb\u7edf\u662f\u4e00\u4e2a\u5e9e\u6742\u800c\u6df1\u523b\u7684\u4e3b\u9898\uff0c\u5728\u6df1\u5165\u5b66\u4e60\u67d0\u4e2a\u7ec6\u5206\u9886\u57df\u4e4b\u524d\uff0c\u5bf9\u5404\u4e2a\u9886\u57df\u6709\u4e00\u4e2a\u5b8f\u89c2\u6982\u5ff5\u6027\u7684\u7406\u89e3\uff0c\u5bf9\u4e00\u4e9b\u901a\u7528\u6027\u7684\u8bbe\u8ba1\u539f\u5219\u6709\u6240\u77e5\u6653\uff0c\u4f1a\u8ba9\u4f60\u5728\u4e4b\u540e\u7684\u6df1\u5165\u5b66\u4e60\u4e2d\u4e0d\u65ad\u5f3a\u5316\u4e00\u4e9b\u6700\u4e3a\u6838\u5fc3\u4e43\u81f3\u54f2\u5b66\u7684\u6982\u5ff5\uff0c\u800c\u4e0d\u4f1a\u684e\u688f\u4e8e\u590d\u6742\u7684\u5185\u90e8\u7ec6\u8282\u548c\u5404\u79cd trick\u3002\u56e0\u4e3a\u5728\u6211\u770b\u6765\uff0c\u5b66\u4e60\u7cfb\u7edf\u6700\u5173\u952e\u7684\u8fd8\u662f\u60f3\u8ba9\u4f60\u9886\u609f\u5230\u8fd9\u4e9b\u6700\u6838\u5fc3\u7684\u4e1c\u897f\uff0c\u4ece\u800c\u80fd\u591f\u8bbe\u8ba1\u548c\u5b9e\u73b0\u51fa\u5c5e\u4e8e\u81ea\u5df1\u7684\u7cfb\u7edf\u3002 MIT6.033: System Engineering \u662f MIT \u7684\u7cfb\u7edf\u5165\u95e8\u8bfe\uff0c\u4e3b\u9898\u6d89\u53ca\u4e86\u64cd\u4f5c\u7cfb\u7edf\u3001\u7f51\u7edc\u3001\u5206\u5e03\u5f0f\u548c\u7cfb\u7edf\u5b89\u5168\uff0c\u9664\u4e86\u77e5\u8bc6\u70b9\u7684\u4f20\u6388\u5916\uff0c\u8fd9\u95e8\u8bfe\u8fd8\u4f1a\u8bb2\u6388\u4e00\u4e9b\u5199\u4f5c\u548c\u8868\u8fbe\u4e0a\u7684\u6280\u5de7\uff0c\u8ba9\u4f60\u5b66\u4f1a\u5982\u4f55\u8bbe\u8ba1\u5e76\u5411\u522b\u4eba\u4ecb\u7ecd\u548c\u5206\u6790\u81ea\u5df1\u7684\u7cfb\u7edf\u3002\u8fd9\u672c\u4e66\u914d\u5957\u7684\u6559\u6750 Principles of Computer System Design: An Introduction \u4e5f\u5199\u5f97\u975e\u5e38\u597d\uff0c\u63a8\u8350\u5927\u5bb6\u9605\u8bfb\u3002 CMU 15-213: Introduction to Computer System \u662f CMU \u7684\u7cfb\u7edf\u5165\u95e8\u8bfe\uff0c\u5185\u5bb9\u8986\u76d6\u4e86\u4f53\u7cfb\u7ed3\u6784\u3001\u64cd\u4f5c\u7cfb\u7edf\u3001\u94fe\u63a5\u3001\u5e76\u884c\u3001\u7f51\u7edc\u7b49\u7b49\uff0c\u517c\u5177\u5e7f\u5ea6\u548c\u6df1\u5ea6\uff0c\u914d\u5957\u7684\u6559\u6750 Computer Systems: A Programmer's Perspective \u4e5f\u662f\u8d28\u91cf\u6781\u9ad8\uff0c\u5f3a\u70c8\u5efa\u8bae\u9605\u8bfb\u3002 \u64cd\u4f5c\u7cfb\u7edf 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\uff0c\u8fd9\u95e8\u8bfe\u7684\u7f16\u7a0b\u4f5c\u4e1a\u540c\u6837\u4f1a\u7528 Julia \u7f16\u7a0b\u8bed\u8a00\uff0c\u4e0d\u8fc7\u96be\u5ea6\u548c\u6df1\u5ea6\u4e0a\u90fd\u4e0a\u4e86\u4e00\u4e2a\u53f0\u9636\u3002\u5185\u5bb9\u6d89\u53ca\u4e86\u6d6e\u70b9\u7f16\u7801\u3001Root finding\u3001\u7ebf\u6027\u7cfb\u7edf\u3001\u5fae\u5206\u65b9\u7a0b\u7b49\u7b49\u65b9\u9762\uff0c\u6574\u95e8\u8bfe\u7684\u4e3b\u65e8\u5c31\u662f\u8ba9\u4f60\u5229\u7528\u79bb\u6563\u5316\u7684\u8ba1\u7b97\u673a\u8868\u793a\u53bb\u4f30\u8ba1\u548c\u903c\u8fd1\u4e00\u4e2a\u6570\u5b66\u4e0a\u8fde\u7eed\u7684\u6982\u5ff5\u3002\u8fd9\u95e8\u8bfe\u7684\u6559\u6388\u8fd8\u4e13\u95e8\u64b0\u5199\u4e86\u4e00\u672c\u914d\u5957\u7684\u5f00\u6e90\u6559\u6750 Fundamentals of Numerical Computation \uff0c\u91cc\u9762\u9644\u6709\u4e30\u5bcc\u7684 Julia \u4ee3\u7801\u5b9e\u4f8b\u548c\u4e25\u8c28\u7684\u516c\u5f0f\u63a8\u5bfc\u3002 \u5982\u679c\u4f60\u8fd8\u610f\u72b9\u672a\u5c3d\u7684\u8bdd\uff0c\u8fd8\u6709 MIT 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Since there's no universally perfect tool, there's no universally perfect language.","title":"\u7f16\u7a0b\u5165\u95e8"},{"location":"CS%E5%AD%A6%E4%B9%A0%E8%A7%84%E5%88%92/#shell","text":"MIT-Missing-Semester","title":"Shell"},{"location":"CS%E5%AD%A6%E4%B9%A0%E8%A7%84%E5%88%92/#python","text":"Harvard CS50: This is CS50x \u6700\u597d\u7684\u8ba1\u7b97\u673a\u57fa\u7840\u5165\u95e8\u8bfe\uff0c\u4f60\u7edd\u5bf9\u4f1a\u7231\u4e0a\u7684\u3002 UCB CS61A: Structure and Interpretation of Computer Programs","title":"Python"},{"location":"CS%E5%AD%A6%E4%B9%A0%E8%A7%84%E5%88%92/#c","text":"Stanford CS106B/X: Programming Abstractions Stanford CS106L: Standard C++ Programming","title":"C++"},{"location":"CS%E5%AD%A6%E4%B9%A0%E8%A7%84%E5%88%92/#rust","text":"Stanford CS110L: Safety in Systems Programming","title":"Rust"},{"location":"CS%E5%AD%A6%E4%B9%A0%E8%A7%84%E5%88%92/#ocaml","text":"Cornell CS3110 textbook: Functional Programming in OCaml","title":"OCaml"},{"location":"CS%E5%AD%A6%E4%B9%A0%E8%A7%84%E5%88%92/#_19","text":"","title":"\u7535\u5b50\u57fa\u7840"},{"location":"CS%E5%AD%A6%E4%B9%A0%E8%A7%84%E5%88%92/#_20","text":"\u4f5c\u4e3a\u8ba1\u7b97\u673a\u7cfb\u7684\u5b66\u751f\uff0c\u4e86\u89e3\u4e00\u4e9b\u57fa\u7840\u7684\u7535\u8def\u77e5\u8bc6\uff0c\u611f\u53d7\u4ece\u4f20\u611f\u5668\u6536\u96c6\u6570\u636e\u5230\u6570\u636e\u5206\u6790\u518d\u5230\u7b97\u6cd5\u9884\u6d4b\u6574\u6761\u6d41\u6c34\u7ebf\uff0c\u5bf9\u4e8e\u540e\u7eed\u77e5\u8bc6\u7684\u5b66\u4e60\u4ee5\u53ca\u8ba1\u7b97\u601d\u7ef4\u7684\u57f9\u517b\u8fd8\u662f\u5f88\u6709\u5e2e\u52a9\u7684\u3002 EE16A&B: Designing Information Devices and Systems I&II \u662f\u4f2f\u514b\u5229 EE \u5b66\u751f\u7684\u5927\u4e00\u5165\u95e8\u8bfe\uff0c\u5176\u4e2d EE16A \u6ce8\u91cd\u901a\u8fc7\u7535\u8def\u4ece\u5b9e\u9645\u73af\u5883\u4e2d\u6536\u96c6\u548c\u5206\u6790\u6570\u636e\uff0c\u800c EE16B 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construction.","title":"\u57f9\u517b\u65b9\u6848Pro"},{"location":"%E5%A5%BD%E4%B9%A6%E6%8E%A8%E8%8D%90/","text":"\u597d\u4e66\u63a8\u8350 \u7531\u4e8e\u7248\u6743\u539f\u56e0\uff0c\u4e0b\u9762\u5217\u4e3e\u7684\u56fe\u4e66\u4e2d\u9664\u4e86\u5f00\u6e90\u8d44\u6e90\u63d0\u4f9b\u4e86\u94fe\u63a5\uff0c\u5176\u4ed6\u7684\u8d44\u6e90\u8bf7\u5927\u5bb6\u81ea\u884c\u901a\u8fc7 libgen \u6216 z-lib \u67e5\u627e\u3002 \u8d44\u6e90\u6c47\u603b Free Programming Books : \u5f00\u6e90\u7f16\u7a0b\u4e66\u7c4d\u8d44\u6e90\u6c47\u603b CS Textbook Recommendations : \u8ba1\u7b97\u673a\u79d1\u5b66\u65b9\u5411\u63a8\u8350\u6559\u6750\u5217\u8868 C Book Guide and List : C\u8bed\u8a00\u76f8\u5173\u7684\u7f16\u7a0b\u4e66\u7c4d\u63a8\u8350\u5217\u8868 C++ Book Guide and List : C++\u8bed\u8a00\u76f8\u5173\u7684\u7f16\u7a0b\u4e66\u7c4d\u63a8\u8350\u5217\u8868 Python Book Guide and List : Python\u8bed\u8a00\u76f8\u5173\u7684\u7f16\u7a0b\u4e66\u7c4d\u63a8\u8350\u5217\u8868 \u7cfb\u7edf\u5165\u95e8 Computer Systems: A Programmer's Perspective [ \u8c46\u74e3 ] Principles of Computer System Design: An Introduction [ \u8c46\u74e3 ] \u64cd\u4f5c\u7cfb\u7edf \u73b0\u4ee3\u64cd\u4f5c\u7cfb\u7edf: \u539f\u7406\u4e0e\u5b9e\u73b0 [ \u8c46\u74e3 ] Operating Systems: Three Easy Pieces [ \u8c46\u74e3 ] Modern Operating Systems [ \u8c46\u74e3 ] Operating Systems: Principles and Practice [ \u8c46\u74e3 ] \u8ba1\u7b97\u673a\u7f51\u7edc Computer Networks: A Systems Approach [ \u8c46\u74e3 ] Computer Networking: A Top-Down Approach [ \u8c46\u74e3 ] \u5206\u5e03\u5f0f\u7cfb\u7edf Patterns of Distributed System (Blog) Distributed Systems for Fun and Profit (Blog) Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems [ \u8c46\u74e3 ] \u6570\u636e\u5e93\u7cfb\u7edf Architecture of a Database System [ \u8c46\u74e3 ] Readings in Database Systems [ \u8c46\u74e3 ] Database System Concepts [ \u8c46\u74e3 ] \u7f16\u8bd1\u539f\u7406 Engineering a Compiler [ \u8c46\u74e3 ] Compilers: Principles, Techniques, and Tools [ \u8c46\u74e3 ] \u8ba1\u7b97\u673a\u7f16\u7a0b\u8bed\u8a00 \u8ba1\u7b97\u673a\u7a0b\u5e8f\u7684\u6784\u9020\u548c\u89e3\u91ca [ \u8c46\u74e3 ] Essentials of Programming Languages [ \u8c46\u74e3 ] Practical Foundations for Programming Languages [ \u8c46\u74e3 ] Software Foundations [ \u8c46\u74e3 ] [ \u5317\u5927\u76f8\u5173\u8bfe\u7a0b ] Types and Programming Languages [ \u8c46\u74e3 ] [ \u5317\u5927\u76f8\u5173\u8bfe\u7a0b ] \u4f53\u7cfb\u7ed3\u6784 \u8d85\u6807\u91cf\u5904\u7406\u5668\u8bbe\u8ba1: Superscalar RISC Processor Design [ \u8c46\u74e3 ] Computer Organization and Design RISC-V Edition [ \u8c46\u74e3 ] Computer Organization and Design: The Hardware/Software Interface [ \u8c46\u74e3 ] Computer Architecture: A Quantitative Approach [ \u8c46\u74e3 ] \u7406\u8bba\u8ba1\u7b97\u673a\u79d1\u5b66 Introduction to the Theory of Computation [ \u8c46\u74e3 ] \u5bc6\u7801\u5b66 Cryptography Engineering: Design Principles and Practical Applications [ \u8c46\u74e3 ] Introduction to Modern Cryptography [ \u8c46\u74e3 ] \u9006\u5411\u5de5\u7a0b \u9006\u5411\u5de5\u7a0b\u6838\u5fc3\u539f\u7406 [ \u8c46\u74e3 ] \u52a0\u5bc6\u4e0e\u89e3\u5bc6 [ \u8c46\u74e3 ] \u8ba1\u7b97\u673a\u56fe\u5f62\u5b66 Monte Carlo theory, methods and examples Advanced Global Illumination [ \u8c46\u74e3 ] Fundamentals of Computer Graphics [ \u8c46\u74e3 ] Fluid Simulation for Computer Graphics [ \u8c46\u74e3 ] Physically Based Rendering: From Theory To Implementation [ \u8c46\u74e3 ] Real-Time Rendering [ \u8c46\u74e3 ] \u6e38\u620f\u5f15\u64ce \u6e38\u620f\u7f16\u7a0b\u6a21\u5f0f: Game Programming Patterns [ \u8c46\u74e3 ] \u5b9e\u65f6\u78b0\u649e\u68c0\u6d4b\u7b97\u6cd5\u6280\u672f [ \u8c46\u74e3 ] Game AI Pro Series [ \u8c46\u74e3 ] Artificial Intelligence for Games [ \u8c46\u74e3 ] Game Engine Architecture [ \u8c46\u74e3 ] Game Programming Gems Series [ \u8c46\u74e3 ] \u8f6f\u4ef6\u5de5\u7a0b Software Engineering at Google [ \u8c46\u74e3 ] \u8bbe\u8ba1\u6a21\u5f0f \u8bbe\u8ba1\u6a21\u5f0f: \u53ef\u590d\u7528\u9762\u5411\u5bf9\u8c61\u8f6f\u4ef6\u7684\u57fa\u7840 [ \u8c46\u74e3 ] \u5927\u8bdd\u8bbe\u8ba1\u6a21\u5f0f [ \u8c46\u74e3 ] Head First \u8bbe\u8ba1\u6a21\u5f0f [ \u8c46\u74e3 ] \u6df1\u5ea6\u5b66\u4e60 \u52a8\u624b\u5b66\u6df1\u5ea6\u5b66\u4e60 [ \u8c46\u74e3 ] \u795e\u7ecf\u7f51\u7edc\u4e0e\u6df1\u5ea6\u5b66\u4e60 [ \u8c46\u74e3 ] \u6df1\u5ea6\u5b66\u4e60\u5165\u95e8 [ \u8c46\u74e3 ] \u7b80\u5355\u7c97\u66b4 TensorFlow 2 (Tutorial) Speech and Language Processing [ \u8c46\u74e3 ] \u8ba1\u7b97\u673a\u89c6\u89c9 Multiple View Geometry in Computer Vision [ \u8c46\u74e3 ] \u673a\u5668\u4eba Probabilistic Robotics [ \u8c46\u74e3 ] \u9762\u8bd5 \u5251\u6307 Offer\uff1a\u540d\u4f01\u9762\u8bd5\u5b98\u7cbe\u8bb2\u5178\u578b\u7f16\u7a0b\u9898 [ \u8c46\u74e3 ] Cracking The Coding Interview [ \u8c46\u74e3 ]","title":"\u597d\u4e66\u63a8\u8350"},{"location":"%E5%A5%BD%E4%B9%A6%E6%8E%A8%E8%8D%90/#_1","text":"\u7531\u4e8e\u7248\u6743\u539f\u56e0\uff0c\u4e0b\u9762\u5217\u4e3e\u7684\u56fe\u4e66\u4e2d\u9664\u4e86\u5f00\u6e90\u8d44\u6e90\u63d0\u4f9b\u4e86\u94fe\u63a5\uff0c\u5176\u4ed6\u7684\u8d44\u6e90\u8bf7\u5927\u5bb6\u81ea\u884c\u901a\u8fc7 libgen \u6216 z-lib \u67e5\u627e\u3002","title":"\u597d\u4e66\u63a8\u8350"},{"location":"%E5%A5%BD%E4%B9%A6%E6%8E%A8%E8%8D%90/#_2","text":"Free Programming Books : \u5f00\u6e90\u7f16\u7a0b\u4e66\u7c4d\u8d44\u6e90\u6c47\u603b CS Textbook Recommendations : \u8ba1\u7b97\u673a\u79d1\u5b66\u65b9\u5411\u63a8\u8350\u6559\u6750\u5217\u8868 C Book Guide and List : C\u8bed\u8a00\u76f8\u5173\u7684\u7f16\u7a0b\u4e66\u7c4d\u63a8\u8350\u5217\u8868 C++ Book Guide and List : C++\u8bed\u8a00\u76f8\u5173\u7684\u7f16\u7a0b\u4e66\u7c4d\u63a8\u8350\u5217\u8868 Python Book Guide and List : Python\u8bed\u8a00\u76f8\u5173\u7684\u7f16\u7a0b\u4e66\u7c4d\u63a8\u8350\u5217\u8868","title":"\u8d44\u6e90\u6c47\u603b"},{"location":"%E5%A5%BD%E4%B9%A6%E6%8E%A8%E8%8D%90/#_3","text":"Computer Systems: A Programmer's Perspective [ \u8c46\u74e3 ] Principles of Computer System Design: An Introduction [ \u8c46\u74e3 ]","title":"\u7cfb\u7edf\u5165\u95e8"},{"location":"%E5%A5%BD%E4%B9%A6%E6%8E%A8%E8%8D%90/#_4","text":"\u73b0\u4ee3\u64cd\u4f5c\u7cfb\u7edf: \u539f\u7406\u4e0e\u5b9e\u73b0 [ \u8c46\u74e3 ] Operating Systems: Three Easy Pieces [ \u8c46\u74e3 ] Modern Operating Systems [ \u8c46\u74e3 ] Operating Systems: Principles and Practice [ \u8c46\u74e3 ]","title":"\u64cd\u4f5c\u7cfb\u7edf"},{"location":"%E5%A5%BD%E4%B9%A6%E6%8E%A8%E8%8D%90/#_5","text":"Computer Networks: A Systems Approach [ \u8c46\u74e3 ] Computer Networking: A Top-Down Approach [ \u8c46\u74e3 ]","title":"\u8ba1\u7b97\u673a\u7f51\u7edc"},{"location":"%E5%A5%BD%E4%B9%A6%E6%8E%A8%E8%8D%90/#_6","text":"Patterns of Distributed System (Blog) Distributed Systems for Fun and Profit (Blog) Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems [ \u8c46\u74e3 ]","title":"\u5206\u5e03\u5f0f\u7cfb\u7edf"},{"location":"%E5%A5%BD%E4%B9%A6%E6%8E%A8%E8%8D%90/#_7","text":"Architecture of a Database System [ \u8c46\u74e3 ] Readings in Database Systems [ \u8c46\u74e3 ] Database System Concepts [ \u8c46\u74e3 ]","title":"\u6570\u636e\u5e93\u7cfb\u7edf"},{"location":"%E5%A5%BD%E4%B9%A6%E6%8E%A8%E8%8D%90/#_8","text":"Engineering a Compiler [ \u8c46\u74e3 ] Compilers: Principles, Techniques, and Tools [ \u8c46\u74e3 ]","title":"\u7f16\u8bd1\u539f\u7406"},{"location":"%E5%A5%BD%E4%B9%A6%E6%8E%A8%E8%8D%90/#_9","text":"\u8ba1\u7b97\u673a\u7a0b\u5e8f\u7684\u6784\u9020\u548c\u89e3\u91ca [ \u8c46\u74e3 ] Essentials of Programming Languages [ \u8c46\u74e3 ] Practical Foundations for Programming Languages [ \u8c46\u74e3 ] Software Foundations [ \u8c46\u74e3 ] [ 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Bryant \u6559\u6388\u6267\u7b14\uff0c\u4e5f\u5373\u6240\u8c13\u7684 CSAPP\u3002\u8fd9\u4e5f\u662f\u6211\u7b2c\u4e00\u672c\u8ba4\u8ba4\u771f\u771f\u4e00\u9875\u4e00\u9875\u8bfb\u8fc7\u53bb\u7684\u8ba1\u7b97\u673a\u6559\u6750\uff0c\u867d\u7136\u5f88\u96be\u5543\uff0c\u4f46\u7740\u5b9e\u6536\u83b7\u826f\u591a\u3002 \u5317\u5927\u8d2d\u4e70\u4e86\u8fd9\u95e8\u8bfe\u7684\u7248\u6743\u5e76\u5f00\u8bbe\u4e86 Introduction to Computer System \u8fd9\u95e8\u8bfe\uff0c\u4f46\u5176\u5b9e CSAPP \u6240\u6709\u7684\u8bfe\u7a0b\u8d44\u6e90\u548c\u5b9e\u9a8c\u4ee3\u7801\u90fd\u80fd\u5728\u5b83\u7684\u5b98\u65b9\u4e3b\u9875\u4e0a\u8bbf\u95ee\u5230\uff08\u5177\u4f53\u53c2\u89c1\u4e0b\u65b9\u94fe\u63a5\uff09\u3002 \u8fd9\u95e8\u8bfe\u7531\u4e8e\u8fc7\u4e8e\u51fa\u540d\uff0c\u5168\u4e16\u754c\u7684\u7801\u519c\u4e89\u76f8\u5b66\u4e60\uff0c\u5bfc\u81f4\u5176 Project 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\u5199\u4f5c\u4e1a\u4e5f\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\u3002","title":"LaTeX"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/LaTeX/#latex","text":"","title":"LaTeX"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/LaTeX/#latex_1","text":"\u5982\u679c\u4f60\u9700\u8981\u5199\u8bba\u6587\uff0c\u90a3\u4e48\u8bf7\u76f4\u63a5\u8df3\u5230\u4e0b\u4e00\u8282\uff0c\u56e0\u4e3a\u4f60\u4e0d\u5b66\u4e5f\u5f97\u5b66\u3002 LaTeX \u662f\u4e00\u79cd\u57fa\u4e8e TeX \u7684\u6392\u7248\u7cfb\u7edf\uff0c\u7531\u56fe\u7075\u5956\u5f97\u4e3b Lamport \u5f00\u53d1\uff0c\u800c Tex \u5219\u662f\u7531 Knuth \u6700\u521d\u5f00\u53d1\uff0c\u8fd9\u4e24\u4f4d\u90fd\u662f\u8ba1\u7b97\u673a\u754c\u7684\u5de8\u64d8\u3002\u5f53\u7136\u5f00\u53d1\u8005\u5f3a\u5e76\u4e0d\u662f\u6211\u4eec\u5b66\u4e60 LaTeX \u7684\u7406\u7531\uff0cLaTeX \u548c\u5e38\u89c1\u7684\u6240\u89c1\u5373\u6240\u5f97\u7684 Word 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\u73af\u5883\u51fa\u73b0\u4e86\u95ee\u9898\uff0c\u53ef\u4ee5\u8003\u8651\u4f7f\u7528 Overleaf \u8fd9\u4e2a\u5728\u7ebf LaTeX \u7f16\u8f91\u7f51\u7ad9\u3002\u7ad9\u5185\u4e0d\u4ec5\u6709\u5404\u79cd\u5404\u6837\u7684 LaTeX \u6a21\u7248\u4f9b\u4f60\u9009\u62e9\uff0c\u8fd8\u514d\u53bb\u4e86\u73af\u5883\u914d\u7f6e\u7684\u96be\u9898\u3002 \u9605\u8bfb\u4e0b\u9762\u4e09\u7bc7 Tutorial: Part-1 , Part-2 , Part-3 \u3002 \u5b66\u4e60 LaTeX \u6700\u597d\u7684\u65b9\u5f0f\u5f53\u7136\u662f\u5199\u8bba\u6587\uff0c\u4e0d\u8fc7\u4ece\u4e00\u95e8\u6570\u5b66\u8bfe\u5165\u624b\u7528 LaTeX \u5199\u4f5c\u4e1a\u4e5f\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\u3002","title":"\u5982\u4f55\u5b66\u4e60 LaTeX"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/Vim/","text":"Vim \u4e3a\u4ec0\u4e48\u5b66\u4e60 Vim \u5728\u6211\u770b\u6765 Vim \u7f16\u8f91\u5668\u6709\u5982\u4e0b\u7684\u597d\u5904\uff1a \u8ba9\u4f60\u7684\u6574\u4e2a\u5f00\u53d1\u8fc7\u7a0b\u624b\u6307\u4e0d\u9700\u8981\u79bb\u5f00\u952e\u76d8\uff0c\u800c\u4e14\u5149\u6807\u7684\u79fb\u52a8\u4e0d\u9700\u8981\u65b9\u5411\u952e\u4f7f\u5f97\u4f60\u7684\u624b\u6307\u4e00\u76f4\u5904\u5728\u6253\u5b57\u7684\u6700\u4f73\u4f4d\u7f6e\u3002 \u65b9\u4fbf\u7684\u6587\u4ef6\u5207\u6362\u4ee5\u53ca\u9762\u677f\u63a7\u5236\u53ef\u4ee5\u8ba9\u4f60\u540c\u65f6\u5f00\u53d1\u591a\u4efd\u6587\u4ef6\u751a\u81f3\u540c\u4e00\u4e2a\u6587\u4ef6\u7684\u4e0d\u540c\u4f4d\u7f6e\u3002 Vim \u7684\u5b8f\u64cd\u4f5c\u53ef\u4ee5\u6279\u91cf\u5316\u5904\u7406\u91cd\u590d\u64cd\u4f5c\uff08\u4f8b\u5982\u591a\u884c tab\uff0c\u6279\u91cf\u52a0\u53cc\u5f15\u53f7\u7b49\u7b49\uff09 Vim \u662f\u5f88\u591a\u670d\u52a1\u5668\u81ea\u5e26\u7684\u547d\u4ee4\u884c\u7f16\u8f91\u5668\uff0c\u5f53\u4f60\u901a\u8fc7 ssh \u8fde\u63a5\u8fdc\u7a0b\u670d\u52a1\u5668\u4e4b\u540e\uff0c\u7531\u4e8e\u6ca1\u6709\u56fe\u5f62\u754c\u9762\uff0c\u53ea\u80fd\u5728\u547d\u4ee4\u884c\u91cc\u8fdb\u884c\u5f00\u53d1\uff08\u5f53\u7136\u73b0\u5728\u5f88\u591a IDE \u5982 VS Code \u63d0\u4f9b\u4e86 ssh \u63d2\u4ef6\u53ef\u4ee5\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\uff09\u3002 \u5f02\u5e38\u4e30\u5bcc\u7684\u63d2\u4ef6\u751f\u6001\uff0c\u8ba9\u4f60\u62e5\u6709\u4e16\u754c\u4e0a\u6700\u82b1\u91cc\u80e1\u54e8\u7684\u547d\u4ee4\u884c\u7f16\u8f91\u5668\u3002 \u5982\u4f55\u5b66\u4e60 Vim \u4e0d\u5e78\u7684\u662f Vim \u7684\u5b66\u4e60\u66f2\u7ebf\u786e\u5b9e\u76f8\u5f53\u9661\u5ced\uff0c\u6211\u82b1\u4e86\u597d\u51e0\u4e2a\u661f\u671f\u624d\u6162\u6162\u9002\u5e94\u4e86\u7528 Vim \u8fdb\u884c\u5f00\u53d1\u7684\u8fc7\u7a0b\u3002\u6700\u5f00\u59cb\u4f60\u4f1a\u89c9\u5f97\u975e\u5e38\u4e0d\u9002\u5e94\uff0c\u4f46\u4e00\u65e6\u71ac\u8fc7\u4e86\u521d\u59cb\u9636\u6bb5\uff0c\u76f8\u4fe1\u6211\uff0c\u4f60\u4f1a\u7231\u4e0a Vim\u3002 Vim \u7684\u5b66\u4e60\u8d44\u6599\u6d69\u5982\u70df\u6d77\uff0c\u4f46\u638c\u63e1\u5b83\u6700\u597d\u7684\u65b9\u5f0f\u8fd8\u662f\u5c06\u5b83\u7528\u5728\u65e5\u5e38\u7684\u5f00\u53d1\u8fc7\u7a0b\u4e2d\uff0c\u800c\u4e0d\u662f\u4e00\u4e0a\u6765\u5c31\u53bb\u5b66\u5404\u79cd\u82b1\u91cc\u80e1\u54e8\u7684\u9ad8\u7ea7 Vim \u6280\u5de7\u3002\u4e2a\u4eba\u63a8\u8350\u7684\u5b66\u4e60\u8def\u7ebf\u5982\u4e0b\uff1a \u5148\u9605\u8bfb \u8fd9\u7bc7 tutorial \uff0c\u638c\u63e1\u57fa\u672c\u7684 Vim \u6982\u5ff5\u548c\u4f7f\u7528\u65b9\u5f0f\u3002 \u7528 Vim \u81ea\u5e26\u7684 vimtutor \u8fdb\u884c\u7ec3\u4e60\uff0c\u5b89\u88c5\u5b8c Vim \u4e4b\u540e\u76f4\u63a5\u5728\u547d\u4ee4\u884c\u91cc\u8f93\u5165 vimtutor \u5373\u53ef\u8fdb\u5165\u7ec3\u4e60\u7a0b\u5e8f\u3002 \u6700\u540e\u5c31\u662f\u5f3a\u8feb\u81ea\u5df1\u4f7f\u7528 Vim \u8fdb\u884c\u5f00\u53d1\uff0cIDE \u91cc\u53ef\u4ee5\u5b89\u88c5 Vim \u63d2\u4ef6\u3002 \u7b49\u4f60\u5b8c\u5168\u9002\u5e94 Vim \u4e4b\u540e\u65b0\u7684\u4e16\u754c\u4fbf\u5411\u4f60\u655e\u5f00\u4e86\u5927\u95e8\uff0c\u4f60\u53ef\u4ee5\u6309\u9700\u914d\u7f6e\u81ea\u5df1\u7684 Vim\uff08\u4fee\u6539 .vimrc \u6587\u4ef6\uff09\uff0c\u7f51\u4e0a\u6709\u6570\u4e0d\u80dc\u6570\u7684\u8d44\u6e90\u53ef\u4ee5\u501f\u9274\u3002 \u63a8\u8350\u53c2\u8003\u8d44\u6599 Neil, Drew. Practical Vim: Edit Text at the Speed of Thought. N.p., Pragmatic Bookshelf, 2015. Neil, Drew. Modern Vim: Craft Your Development Environment with Vim 8 and Neovim. United States, Pragmatic Bookshelf.","title":"Vim"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/Vim/#vim","text":"","title":"Vim"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/Vim/#vim_1","text":"\u5728\u6211\u770b\u6765 Vim \u7f16\u8f91\u5668\u6709\u5982\u4e0b\u7684\u597d\u5904\uff1a \u8ba9\u4f60\u7684\u6574\u4e2a\u5f00\u53d1\u8fc7\u7a0b\u624b\u6307\u4e0d\u9700\u8981\u79bb\u5f00\u952e\u76d8\uff0c\u800c\u4e14\u5149\u6807\u7684\u79fb\u52a8\u4e0d\u9700\u8981\u65b9\u5411\u952e\u4f7f\u5f97\u4f60\u7684\u624b\u6307\u4e00\u76f4\u5904\u5728\u6253\u5b57\u7684\u6700\u4f73\u4f4d\u7f6e\u3002 \u65b9\u4fbf\u7684\u6587\u4ef6\u5207\u6362\u4ee5\u53ca\u9762\u677f\u63a7\u5236\u53ef\u4ee5\u8ba9\u4f60\u540c\u65f6\u5f00\u53d1\u591a\u4efd\u6587\u4ef6\u751a\u81f3\u540c\u4e00\u4e2a\u6587\u4ef6\u7684\u4e0d\u540c\u4f4d\u7f6e\u3002 Vim \u7684\u5b8f\u64cd\u4f5c\u53ef\u4ee5\u6279\u91cf\u5316\u5904\u7406\u91cd\u590d\u64cd\u4f5c\uff08\u4f8b\u5982\u591a\u884c tab\uff0c\u6279\u91cf\u52a0\u53cc\u5f15\u53f7\u7b49\u7b49\uff09 Vim \u662f\u5f88\u591a\u670d\u52a1\u5668\u81ea\u5e26\u7684\u547d\u4ee4\u884c\u7f16\u8f91\u5668\uff0c\u5f53\u4f60\u901a\u8fc7 ssh \u8fde\u63a5\u8fdc\u7a0b\u670d\u52a1\u5668\u4e4b\u540e\uff0c\u7531\u4e8e\u6ca1\u6709\u56fe\u5f62\u754c\u9762\uff0c\u53ea\u80fd\u5728\u547d\u4ee4\u884c\u91cc\u8fdb\u884c\u5f00\u53d1\uff08\u5f53\u7136\u73b0\u5728\u5f88\u591a IDE \u5982 VS Code \u63d0\u4f9b\u4e86 ssh \u63d2\u4ef6\u53ef\u4ee5\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\uff09\u3002 \u5f02\u5e38\u4e30\u5bcc\u7684\u63d2\u4ef6\u751f\u6001\uff0c\u8ba9\u4f60\u62e5\u6709\u4e16\u754c\u4e0a\u6700\u82b1\u91cc\u80e1\u54e8\u7684\u547d\u4ee4\u884c\u7f16\u8f91\u5668\u3002","title":"\u4e3a\u4ec0\u4e48\u5b66\u4e60 Vim"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/Vim/#vim_2","text":"\u4e0d\u5e78\u7684\u662f Vim \u7684\u5b66\u4e60\u66f2\u7ebf\u786e\u5b9e\u76f8\u5f53\u9661\u5ced\uff0c\u6211\u82b1\u4e86\u597d\u51e0\u4e2a\u661f\u671f\u624d\u6162\u6162\u9002\u5e94\u4e86\u7528 Vim \u8fdb\u884c\u5f00\u53d1\u7684\u8fc7\u7a0b\u3002\u6700\u5f00\u59cb\u4f60\u4f1a\u89c9\u5f97\u975e\u5e38\u4e0d\u9002\u5e94\uff0c\u4f46\u4e00\u65e6\u71ac\u8fc7\u4e86\u521d\u59cb\u9636\u6bb5\uff0c\u76f8\u4fe1\u6211\uff0c\u4f60\u4f1a\u7231\u4e0a Vim\u3002 Vim \u7684\u5b66\u4e60\u8d44\u6599\u6d69\u5982\u70df\u6d77\uff0c\u4f46\u638c\u63e1\u5b83\u6700\u597d\u7684\u65b9\u5f0f\u8fd8\u662f\u5c06\u5b83\u7528\u5728\u65e5\u5e38\u7684\u5f00\u53d1\u8fc7\u7a0b\u4e2d\uff0c\u800c\u4e0d\u662f\u4e00\u4e0a\u6765\u5c31\u53bb\u5b66\u5404\u79cd\u82b1\u91cc\u80e1\u54e8\u7684\u9ad8\u7ea7 Vim \u6280\u5de7\u3002\u4e2a\u4eba\u63a8\u8350\u7684\u5b66\u4e60\u8def\u7ebf\u5982\u4e0b\uff1a \u5148\u9605\u8bfb \u8fd9\u7bc7 tutorial \uff0c\u638c\u63e1\u57fa\u672c\u7684 Vim \u6982\u5ff5\u548c\u4f7f\u7528\u65b9\u5f0f\u3002 \u7528 Vim \u81ea\u5e26\u7684 vimtutor \u8fdb\u884c\u7ec3\u4e60\uff0c\u5b89\u88c5\u5b8c Vim \u4e4b\u540e\u76f4\u63a5\u5728\u547d\u4ee4\u884c\u91cc\u8f93\u5165 vimtutor \u5373\u53ef\u8fdb\u5165\u7ec3\u4e60\u7a0b\u5e8f\u3002 \u6700\u540e\u5c31\u662f\u5f3a\u8feb\u81ea\u5df1\u4f7f\u7528 Vim \u8fdb\u884c\u5f00\u53d1\uff0cIDE \u91cc\u53ef\u4ee5\u5b89\u88c5 Vim \u63d2\u4ef6\u3002 \u7b49\u4f60\u5b8c\u5168\u9002\u5e94 Vim \u4e4b\u540e\u65b0\u7684\u4e16\u754c\u4fbf\u5411\u4f60\u655e\u5f00\u4e86\u5927\u95e8\uff0c\u4f60\u53ef\u4ee5\u6309\u9700\u914d\u7f6e\u81ea\u5df1\u7684 Vim\uff08\u4fee\u6539 .vimrc \u6587\u4ef6\uff09\uff0c\u7f51\u4e0a\u6709\u6570\u4e0d\u80dc\u6570\u7684\u8d44\u6e90\u53ef\u4ee5\u501f\u9274\u3002","title":"\u5982\u4f55\u5b66\u4e60 Vim"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/Vim/#_1","text":"Neil, Drew. Practical Vim: Edit Text at the Speed of Thought. N.p., Pragmatic Bookshelf, 2015. Neil, Drew. Modern Vim: Craft Your Development Environment with Vim 8 and Neovim. United States, Pragmatic Bookshelf.","title":"\u63a8\u8350\u53c2\u8003\u8d44\u6599"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/thesis/","text":"\u6bd5\u4e1a\u8bba\u6587 \u4e3a\u4ec0\u4e48\u5199\u8fd9\u4efd\u6559\u7a0b 2022\u5e74\uff0c\u6211\u672c\u79d1\u6bd5\u4e1a\u4e86\u3002\u5728\u5f00\u59cb\u52a8\u624b\u5199\u6bd5\u4e1a\u8bba\u6587\u7684\u65f6\u5019\uff0c\u6211\u5c34\u5c2c\u5730\u53d1\u73b0\uff0c\u6211\u5bf9 Word \u7684\u638c\u63e1\u7a0b\u5ea6\u4ec5\u9650\u4e8e\u8c03\u8282\u5b57\u4f53\u3001\u4fdd\u5b58\u5bfc\u51fa\u8fd9\u4e9b\u50bb\u74dc\u529f\u80fd\u3002\u66fe\u60f3\u8f6c\u6218 Latex\uff0c\u4f46\u8bba\u6587\u7684\u6bb5\u843d\u683c\u5f0f\u8981\u6c42\u8c03\u6574\u8d77\u6765\u8fd8\u662f\u7528 Word 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\uff0c\u5e76\u6309\u7167\u5176\u8981\u6c42\u5236\u4f5c\u4e86 \u4e00\u4efd\u6a21\u7248 \uff0c\u5927\u5bb6\u9700\u8981\u7684\u8bdd\u81ea\u53d6\uff0c\u672c\u4eba\u4e0d\u627f\u62c5\u65e0\u6cd5\u6bd5\u4e1a\u7b49\u4efb\u4f55\u8d23\u4efb\u3002 \u5b66\u4e60 Word \u6392\u7248\uff1a\u5230\u8fbe\u8fd9\u4e00\u6b65\u7684\u7ae5\u978b\u5206\u4e3a\u4e24\u7c7b\uff0c\u4e00\u662f\u5df2\u7ecf\u62e5\u6709\u4e86\u5b66\u9662\u63d0\u4f9b\u7684\u6807\u51c6\u6a21\u7248\uff0c\u4e8c\u662f\u53ea\u6709\u4e00\u4efd\u865a\u65e0\u7f25\u7f08\u7684\u683c\u5f0f\u8981\u6c42\u3002\u90a3\u73b0\u5728\u5f53\u52a1\u4e4b\u6025\u5c31\u662f\u5b66\u4e60\u57fa\u7840\u7684 Word \u6392\u7248\u6280\u672f\uff0c\u5bf9\u4e8e\u524d\u8005\u53ef\u4ee5\u5b66\u4f1a\u4f7f\u7528\u6a21\u7248\uff0c\u5bf9\u4e8e\u540e\u8005\u5219\u53ef\u4ee5\u5b66\u4f1a\u5236\u4f5c\u6a21\u7248\u3002\u6b64\u65f6\u5207\u8bb0\u4e0d\u8981\u96c4\u5fc3\u52c3\u52c3\u5730\u9009\u62e9\u4e00\u4e2a\u5341\u51e0\u4e2a\u5c0f\u65f6\u7684 Word \u6559\u5b66\u89c6\u9891\u5f00\u59cb\u5934\u60ac\u6881\u9525\u523a\u80a1\uff0c\u56e0\u4e3a\u751f\u4ea7\u4e00\u4efd\u5e94\u4ed8\u6bd5\u4e1a\u7684\u5b66\u672f\u5783\u573e\u53ea\u8981\u5b66\u534a\u5c0f\u65f6\u80fd\u4e0a\u624b\u5c31\u591f\u4e86\u3002\u6211\u5f53\u65f6\u770b\u7684 \u4e00\u4e2a B \u7ad9\u7684\u6559\u5b66\u89c6\u9891 \uff0c\u77ed\u5c0f\u7cbe\u608d\u975e\u5e38\u5b9e\u7528\uff0c\u5168\u957f\u534a\u5c0f\u65f6\u6781\u901f\u5165\u95e8\u3002 \u751f\u4ea7\u5b66\u672f\u5783\u573e\uff1a\u6700\u5bb9\u6613\u7684\u4e00\u6b65\uff0c\u5927\u5bb6\u516b\u4ed9\u8fc7\u6d77\uff0c\u5404\u663e\u795e\u901a\u5427\uff0c\u795d\u5927\u5bb6\u6bd5\u4e1a\u987a\u5229\uff5e\uff5e","title":"\u5982\u4f55\u7528 Word \u5199\u6bd5\u4e1a\u8bba\u6587"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/tools/","text":"\u5b9e\u7528\u5de5\u5177\u7bb1 \u4e0b\u8f7d\u5de5\u5177 Libgen : PDF\u7535\u5b50\u4e66\u4e0b\u8f7d\u7f51\u7ad9\u3002 z-epub : ePub\u7535\u5b50\u4e66\u4e0b\u8f7d\u7f51\u7ad9\u3002 bitdownloader : \u6cb9\u7ba1\u89c6\u9891\u4e0b\u8f7d\u5668\u3002 zlibrary : \u7535\u5b50\u4e66\u4e0b\u8f7d\u7f51\u7ad9(\u53ef\u80fd\u9700\u8981\u7ffb\u5899)\u3002 \u8bbe\u8ba1\u5de5\u5177 excalidraw : \u4e00\u6b3e\u624b\u7ed8\u98ce\u683c\u7684\u7ed8\u56fe\u5de5\u5177\uff0c\u975e\u5e38\u9002\u5408\u7ed8\u5236\u8bfe\u7a0b\u62a5\u544a\u6216\u8005PPT\u5185\u7684\u793a\u610f\u56fe\u3002 origamiway : \u624b\u628a\u624b\u6559\u4f60\u600e\u4e48\u6298\u7eb8\u3002 thingiverse : \u56ca\u62ec\u5404\u7c7b 2D/3D \u8bbe\u8ba1\u8d44\u6e90\uff0c\u5176 STL \u6587\u4ef6\u4e0b\u8f7d\u53ef\u76f4\u63a5 3D \u6253\u5370\u3002 iconfont : \u56fd\u5185\u6700\u5927\u7684\u56fe\u6807\u548c\u63d2\u753b\u8d44\u6e90\u5e93\uff0c\u53ef\u7528\u4e8e\u5f00\u53d1\u6216\u7ed8\u5236\u7cfb\u7edf\u67b6\u6784\u56fe\u3002 turbosquid : \u53ef\u4ee5\u8d2d\u4e70\u5404\u5f0f\u5404\u6837\u7684\u6a21\u578b\u3002 \u7f16\u7a0b\u76f8\u5173 sqlfiddle : \u4e00\u4e2a\u7b80\u6613\u7684\u5728\u7ebf SQL Playground\u3002 godbolt : \u975e\u5e38\u65b9\u4fbf\u7684\u7f16\u8bd1\u5668\u63a2\u7d22\u5de5\u5177\u3002\u4f60\u53ef\u4ee5\u5199\u4e00\u6bb5 C/C++ \u4ee3\u7801\uff0c\u9009\u62e9\u4e00\u6b3e\u7f16\u8bd1\u5668\uff0c\u7136\u540e\u4fbf\u53ef\u4ee5\u89c2\u5bdf\u751f\u6210\u7684\u5177\u4f53\u6c47\u7f16\u4ee3\u7801\u3002 explainshell : \u4f60\u662f\u5426\u66fe\u4e3a\u4e00\u6bb5 shell \u4ee3\u7801\u7684\u5177\u4f53\u542b\u4e49\u611f\u5230\u56f0\u6270\uff1fmanpage \u770b\u534a\u5929\u8fd8\u662f\u4e0d\u660e\u6240\u4ee5\uff1f\u8bd5\u8bd5\u8fd9\u4e2a\u7f51\u7ad9\uff01 regex101 : \u6b63\u5219\u8868\u8fbe\u5f0f\u8c03\u8bd5\u7f51\u7ad9\uff0c\u652f\u6301\u5404\u79cd\u7f16\u7a0b\u8bed\u8a00\u7684\u5339\u914d\u6807\u51c6\u3002 typingtom : \u9488\u5bf9\u7a0b\u5e8f\u5458\u7684\u6253\u5b57\u7ec3\u4e60/\u6d4b\u901f\u7f51\u7ad9\u3002 \u5b66\u4e60\u7f51\u7ad9 HFS : \u5404\u7c7b\u8f6f\u4ef6\u6559\u7a0b\u3002 os-wiki : \u64cd\u4f5c\u7cfb\u7edf\u6280\u672f\u8d44\u6e90\u767e\u79d1\u5168\u4e66\u3002 Shadertoy : \u7f16\u5199\u5404\u5f0f\u5404\u6837\u7684 shader\u3002 \u6742\u9879 tophub : \u65b0\u95fb\u70ed\u699c\u5408\u96c6\uff08\u7efc\u5408\u4e86\u77e5\u4e4e\u3001\u5fae\u535a\u3001\u767e\u5ea6\u3001\u5fae\u4fe1\u7b49\uff09\u3002 speedtest : \u5728\u7ebf\u7f51\u7edc\u6d4b\u901f\u7f51\u7ad9\u3002 public-apis : \u516c\u5171 API \u5408\u96c6\u5217\u8868\u3002","title":"\u5b9e\u7528\u5de5\u5177\u7bb1"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/tools/#_1","text":"","title":"\u5b9e\u7528\u5de5\u5177\u7bb1"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/tools/#_2","text":"Libgen : PDF\u7535\u5b50\u4e66\u4e0b\u8f7d\u7f51\u7ad9\u3002 z-epub : ePub\u7535\u5b50\u4e66\u4e0b\u8f7d\u7f51\u7ad9\u3002 bitdownloader : \u6cb9\u7ba1\u89c6\u9891\u4e0b\u8f7d\u5668\u3002 zlibrary : \u7535\u5b50\u4e66\u4e0b\u8f7d\u7f51\u7ad9(\u53ef\u80fd\u9700\u8981\u7ffb\u5899)\u3002","title":"\u4e0b\u8f7d\u5de5\u5177"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/tools/#_3","text":"excalidraw : \u4e00\u6b3e\u624b\u7ed8\u98ce\u683c\u7684\u7ed8\u56fe\u5de5\u5177\uff0c\u975e\u5e38\u9002\u5408\u7ed8\u5236\u8bfe\u7a0b\u62a5\u544a\u6216\u8005PPT\u5185\u7684\u793a\u610f\u56fe\u3002 origamiway : \u624b\u628a\u624b\u6559\u4f60\u600e\u4e48\u6298\u7eb8\u3002 thingiverse : \u56ca\u62ec\u5404\u7c7b 2D/3D \u8bbe\u8ba1\u8d44\u6e90\uff0c\u5176 STL \u6587\u4ef6\u4e0b\u8f7d\u53ef\u76f4\u63a5 3D \u6253\u5370\u3002 iconfont : \u56fd\u5185\u6700\u5927\u7684\u56fe\u6807\u548c\u63d2\u753b\u8d44\u6e90\u5e93\uff0c\u53ef\u7528\u4e8e\u5f00\u53d1\u6216\u7ed8\u5236\u7cfb\u7edf\u67b6\u6784\u56fe\u3002 turbosquid : \u53ef\u4ee5\u8d2d\u4e70\u5404\u5f0f\u5404\u6837\u7684\u6a21\u578b\u3002","title":"\u8bbe\u8ba1\u5de5\u5177"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/tools/#_4","text":"sqlfiddle : \u4e00\u4e2a\u7b80\u6613\u7684\u5728\u7ebf SQL Playground\u3002 godbolt : \u975e\u5e38\u65b9\u4fbf\u7684\u7f16\u8bd1\u5668\u63a2\u7d22\u5de5\u5177\u3002\u4f60\u53ef\u4ee5\u5199\u4e00\u6bb5 C/C++ \u4ee3\u7801\uff0c\u9009\u62e9\u4e00\u6b3e\u7f16\u8bd1\u5668\uff0c\u7136\u540e\u4fbf\u53ef\u4ee5\u89c2\u5bdf\u751f\u6210\u7684\u5177\u4f53\u6c47\u7f16\u4ee3\u7801\u3002 explainshell : \u4f60\u662f\u5426\u66fe\u4e3a\u4e00\u6bb5 shell \u4ee3\u7801\u7684\u5177\u4f53\u542b\u4e49\u611f\u5230\u56f0\u6270\uff1fmanpage \u770b\u534a\u5929\u8fd8\u662f\u4e0d\u660e\u6240\u4ee5\uff1f\u8bd5\u8bd5\u8fd9\u4e2a\u7f51\u7ad9\uff01 regex101 : \u6b63\u5219\u8868\u8fbe\u5f0f\u8c03\u8bd5\u7f51\u7ad9\uff0c\u652f\u6301\u5404\u79cd\u7f16\u7a0b\u8bed\u8a00\u7684\u5339\u914d\u6807\u51c6\u3002 typingtom : \u9488\u5bf9\u7a0b\u5e8f\u5458\u7684\u6253\u5b57\u7ec3\u4e60/\u6d4b\u901f\u7f51\u7ad9\u3002","title":"\u7f16\u7a0b\u76f8\u5173"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/tools/#_5","text":"HFS : \u5404\u7c7b\u8f6f\u4ef6\u6559\u7a0b\u3002 os-wiki : \u64cd\u4f5c\u7cfb\u7edf\u6280\u672f\u8d44\u6e90\u767e\u79d1\u5168\u4e66\u3002 Shadertoy : \u7f16\u5199\u5404\u5f0f\u5404\u6837\u7684 shader\u3002","title":"\u5b66\u4e60\u7f51\u7ad9"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/tools/#_6","text":"tophub : \u65b0\u95fb\u70ed\u699c\u5408\u96c6\uff08\u7efc\u5408\u4e86\u77e5\u4e4e\u3001\u5fae\u535a\u3001\u767e\u5ea6\u3001\u5fae\u4fe1\u7b49\uff09\u3002 speedtest : \u5728\u7ebf\u7f51\u7edc\u6d4b\u901f\u7f51\u7ad9\u3002 public-apis : \u516c\u5171 API \u5408\u96c6\u5217\u8868\u3002","title":"\u6742\u9879"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/%E7%BF%BB%E5%A2%99/","text":"\u7ffb\u5899 \u6b64\u94fe\u63a5 \u51fa\u73b0\u5728\u8fd9\u91cc\u7eaf\u5c5e\u4e8c\u8fdb\u5236 bit \u7684\u968f\u610f\u7ec4\u5408\uff0c\u4e0e\u672c\u4eba\u6beb\u65e0\u5173\u7cfb\u3002","title":"\u7ffb\u5899"},{"location":"%E5%BF%85%E5%AD%A6%E5%B7%A5%E5%85%B7/%E7%BF%BB%E5%A2%99/#_1","text":"\u6b64\u94fe\u63a5 \u51fa\u73b0\u5728\u8fd9\u91cc\u7eaf\u5c5e\u4e8c\u8fdb\u5236 bit \u7684\u968f\u610f\u7ec4\u5408\uff0c\u4e0e\u672c\u4eba\u6beb\u65e0\u5173\u7cfb\u3002","title":"\u7ffb\u5899"},{"location":"%E6%93%8D%E4%BD%9C%E7%B3%BB%E7%BB%9F/CS162/","text":"CS162: Operating System \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aUC Berkeley \u5148\u4fee\u8981\u6c42\uff1aCS61A, CS61B, CS61C \u7f16\u7a0b\u8bed\u8a00\uff1aC, x86\u6c47\u7f16 \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a200 \u5c0f\u65f6+\uff0c\u4e0a\u4e0d\u5c01\u9876 \u8fd9\u95e8\u8bfe\u8ba9\u6211\u8bb0\u5fc6\u72b9\u65b0\u7684\u6709\u4e24\u4e2a\u90e8\u5206\uff1a \u9996\u5148\u662f\u6559\u6750\uff0c\u8fd9\u672c\u4e66\u7528\u7684\u6559\u6750 Operating Systems: Principles and Practice (2nd Edition) \u4e00\u5171\u56db\u5377\uff0c\u5199\u5f97\u975e\u5e38\u6df1\u5165\u6d45\u51fa\uff0c\u5f88\u597d\u5730\u5f25\u8865\u4e86 MIT6.S081 \u5728\u7406\u8bba\u77e5\u8bc6\u4e0a\u7684\u4e9b\u8bb8\u7a7a\u767d\uff0c\u975e\u5e38\u5efa\u8bae\u5927\u5bb6\u9605\u8bfb\u3002\u76f8\u5173\u8d44\u6e90\u4f1a\u5206\u4eab\u5728\u672c\u4e66\u7684\u7ecf\u5178\u4e66\u7c4d\u63a8\u8350\u6a21\u5757\u3002 \u5176\u6b21\u662f\u8fd9\u95e8\u8bfe\u7684 Project \u2014\u2014 Pintos\u3002Pintos \u662f\u7531 Ben Pfaff \u7b49\u4eba\u5728 x86 \u5e73\u53f0\u4e0a\u7f16\u5199\u7684\u6559\u5b66\u7528\u64cd\u4f5c\u7cfb\u7edf\uff0cBen Pfaff \u751a\u81f3\u4e13\u95e8\u53d1\u4e86\u7bc7 paper \u6765\u9610\u8ff0 Pintos \u7684\u8bbe\u8ba1\u601d\u60f3\u3002 \u548c MIT \u7684 xv6 \u5c0f\u800c\u7cbe\u7684 lab \u8bbe\u8ba1\u7406\u5ff5\u4e0d\u540c\uff0cPintos \u66f4\u6ce8\u91cd\u7cfb\u7edf\u7684 Design and Implementation\u3002Pintos \u672c\u8eab\u4ec5\u4e00\u4e07\u884c\u5de6\u53f3\uff0c\u53ea\u63d0\u4f9b\u4e86\u64cd\u4f5c\u7cfb\u7edf\u6700\u57fa\u672c\u7684\u529f\u80fd\u3002\u800c 4 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\u4e4b\u540e\u6df1\u611f\u6127\u759a\uff0c\u542b\u6cea\u82b1\u4e86\u4e24\u767e\u591a\u4e70\u4e86\u4e00\u672c\u82f1\u6587\u6b63\u7248\u6536\u85cf\u3002\u4e0b\u9762\u9644\u4e0a\u6b64\u4e66\u5c01\u9762\uff0c\u5982\u679c\u4f60\u80fd\u5b8c\u5168\u7406\u89e3\u5c01\u9762\u56fe\u7684\u6570\u5b66\u542b\u4e49\uff0c\u90a3\u4f60\u5bf9\u7ebf\u6027\u4ee3\u6570\u7684\u7406\u89e3\u4e00\u5b9a\u4f1a\u8fbe\u5230\u65b0\u7684\u9ad8\u5ea6\u3002 \u914d\u5408\u6cb9\u7ba1\u6570\u5b66\u7f51\u7ea2 3Blue1Brown \u7684 \u7ebf\u6027\u4ee3\u6570\u7684\u672c\u8d28 \u7cfb\u5217\u89c6\u9891\u98df\u7528\u66f4\u4f73\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/syllabus/ \u8bfe\u7a0b\u89c6\u9891\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9 \u8bfe\u7a0b\u6559\u6750\uff1aIntroduction to Linear Algebra. Gilbert Strang \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9","title":"MIT18.06: Linear Algebra"},{"location":"%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/MITLA/#mit1806-linear-algebra","text":"","title":"MIT18.06: Linear Algebra"},{"location":"%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/MITLA/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1a\u82f1\u6587 \u7f16\u7a0b\u8bed\u8a00\uff1a\u65e0 \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a\u56e0\u4eba\u800c\u5f02 \u6570\u5b66\u5927\u725b Gilbert Strang \u8001\u5148\u751f\u5e74\u903e\u53e4\u7a00\u4ecd\u575a\u6301\u6388\u8bfe\uff0c\u5176\u7ecf\u5178\u6559\u6750 Introduction to Linear Algebra \u5df2\u88ab\u6e05\u534e\u91c7\u7528\u4e3a\u5b98\u65b9\u6559\u6750\u3002\u6211\u5f53\u65f6\u770b\u5b8c\u76d7\u7248 PDF \u4e4b\u540e\u6df1\u611f\u6127\u759a\uff0c\u542b\u6cea\u82b1\u4e86\u4e24\u767e\u591a\u4e70\u4e86\u4e00\u672c\u82f1\u6587\u6b63\u7248\u6536\u85cf\u3002\u4e0b\u9762\u9644\u4e0a\u6b64\u4e66\u5c01\u9762\uff0c\u5982\u679c\u4f60\u80fd\u5b8c\u5168\u7406\u89e3\u5c01\u9762\u56fe\u7684\u6570\u5b66\u542b\u4e49\uff0c\u90a3\u4f60\u5bf9\u7ebf\u6027\u4ee3\u6570\u7684\u7406\u89e3\u4e00\u5b9a\u4f1a\u8fbe\u5230\u65b0\u7684\u9ad8\u5ea6\u3002 \u914d\u5408\u6cb9\u7ba1\u6570\u5b66\u7f51\u7ea2 3Blue1Brown \u7684 \u7ebf\u6027\u4ee3\u6570\u7684\u672c\u8d28 \u7cfb\u5217\u89c6\u9891\u98df\u7528\u66f4\u4f73\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/MITLA/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a https://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/syllabus/ \u8bfe\u7a0b\u89c6\u9891\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9 \u8bfe\u7a0b\u6559\u6750\uff1aIntroduction to Linear Algebra. Gilbert Strang \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/MITmaths/","text":"MIT Calculus Course \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1a\u82f1\u8bed \u7f16\u7a0b\u8bed\u8a00\uff1a\u65e0 \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a\u56e0\u4eba\u800c\u5f02 MIT \u7684\u5fae\u79ef\u5206\u8bfe\u7531 MIT18.01: Single variable calculus \u548c MIT18.02: Multi variable calculus \u4e24\u95e8\u8bfe\u7ec4\u6210\u3002\u5bf9\u81ea\u5df1\u6570\u5b66\u57fa\u7840\u6bd4\u8f83\u81ea\u4fe1\u7684\u540c\u5b66\u53ef\u4ee5\u53ea\u770b\u8bfe\u7a0b notes\uff0c\u5199\u5f97\u975e\u5e38\u6d45\u663e\u751f\u52a8\u5e76\u4e14\u6293\u4f4f\u672c\u8d28\uff0c\u8ba9\u4f60\u4e0d\u518d\u75b2\u4e8e\u505a\u9898\u800c\u662f\u80fd\u591f\u771f\u6b63\u7aa5\u89c1\u5fae\u79ef\u5206\u7684\u672c\u8d28\u9b45\u529b\u3002 \u914d\u5408\u6cb9\u7ba1\u6570\u5b66\u7f51\u7ea2 3Blue1Brown \u7684 \u5fae\u79ef\u5206\u7684\u672c\u8d28 \u7cfb\u5217\u89c6\u9891\u98df\u7528\u66f4\u4f73\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a 18.01 , 18.02 \u8bfe\u7a0b\u89c6\u9891\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9 \u8bfe\u7a0b\u6559\u6750\uff1a\u53c2\u89c1\u8bfe\u7a0b notes \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u4e66\u9762\u4f5c\u4e1a\u53ca\u7b54\u6848\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9","title":"MIT18.01/18.02: Calculus"},{"location":"%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/MITmaths/#mit-calculus-course","text":"","title":"MIT Calculus Course"},{"location":"%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/MITmaths/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1a\u82f1\u8bed \u7f16\u7a0b\u8bed\u8a00\uff1a\u65e0 \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a\u56e0\u4eba\u800c\u5f02 MIT \u7684\u5fae\u79ef\u5206\u8bfe\u7531 MIT18.01: Single variable calculus \u548c MIT18.02: Multi variable calculus \u4e24\u95e8\u8bfe\u7ec4\u6210\u3002\u5bf9\u81ea\u5df1\u6570\u5b66\u57fa\u7840\u6bd4\u8f83\u81ea\u4fe1\u7684\u540c\u5b66\u53ef\u4ee5\u53ea\u770b\u8bfe\u7a0b notes\uff0c\u5199\u5f97\u975e\u5e38\u6d45\u663e\u751f\u52a8\u5e76\u4e14\u6293\u4f4f\u672c\u8d28\uff0c\u8ba9\u4f60\u4e0d\u518d\u75b2\u4e8e\u505a\u9898\u800c\u662f\u80fd\u591f\u771f\u6b63\u7aa5\u89c1\u5fae\u79ef\u5206\u7684\u672c\u8d28\u9b45\u529b\u3002 \u914d\u5408\u6cb9\u7ba1\u6570\u5b66\u7f51\u7ea2 3Blue1Brown \u7684 \u5fae\u79ef\u5206\u7684\u672c\u8d28 \u7cfb\u5217\u89c6\u9891\u98df\u7528\u66f4\u4f73\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/MITmaths/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a 18.01 , 18.02 \u8bfe\u7a0b\u89c6\u9891\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9 \u8bfe\u7a0b\u6559\u6750\uff1a\u53c2\u89c1\u8bfe\u7a0b notes \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u4e66\u9762\u4f5c\u4e1a\u53ca\u7b54\u6848\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/information/","text":"MIT6.050J: Information theory and Entropy \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1a\u65e0 \u7f16\u7a0b\u8bed\u8a00\uff1a\u65e0 \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a100 \u5c0f\u65f6 MIT \u9762\u5411\u5927\u4e00\u65b0\u751f\u7684\u4fe1\u606f\u8bba\u5165\u95e8\u8bfe\u7a0b\uff0cPenfield \u6559\u6388\u4e13\u95e8\u4e3a\u8fd9\u95e8\u8bfe\u5199\u4e86\u4e00\u672c \u6559\u6750 \u4f5c\u4e3a\u8bfe\u7a0b notes\uff0c\u5185\u5bb9\u6df1\u5165\u6d45\u51fa\uff0c\u751f\u52a8\u6709\u8da3\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-050j-information-and-entropy-spring-2008/index.htm \u8bfe\u7a0b\u6559\u6750\uff1a https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-050j-information-and-entropy-spring-2008/syllabus/MIT6_050JS08_textbook.pdf \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u8be6\u89c1\u8bfe\u7a0b\u7f51\u7ad9\uff0c\u5305\u542b\u4e66\u9762\u4f5c\u4e1a\u4e0e Matlab \u7f16\u7a0b\u4f5c\u4e1a\u3002","title":"MIT6.050J: Information theory and Entropy"},{"location":"%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/information/#mit6050j-information-theory-and-entropy","text":"","title":"MIT6.050J: Information theory and Entropy"},{"location":"%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/information/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1a\u65e0 \u7f16\u7a0b\u8bed\u8a00\uff1a\u65e0 \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a100 \u5c0f\u65f6 MIT \u9762\u5411\u5927\u4e00\u65b0\u751f\u7684\u4fe1\u606f\u8bba\u5165\u95e8\u8bfe\u7a0b\uff0cPenfield \u6559\u6388\u4e13\u95e8\u4e3a\u8fd9\u95e8\u8bfe\u5199\u4e86\u4e00\u672c \u6559\u6750 \u4f5c\u4e3a\u8bfe\u7a0b notes\uff0c\u5185\u5bb9\u6df1\u5165\u6d45\u51fa\uff0c\u751f\u52a8\u6709\u8da3\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/information/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-050j-information-and-entropy-spring-2008/index.htm \u8bfe\u7a0b\u6559\u6750\uff1a https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-050j-information-and-entropy-spring-2008/syllabus/MIT6_050JS08_textbook.pdf \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u8be6\u89c1\u8bfe\u7a0b\u7f51\u7ad9\uff0c\u5305\u542b\u4e66\u9762\u4f5c\u4e1a\u4e0e Matlab \u7f16\u7a0b\u4f5c\u4e1a\u3002","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E6%95%B0%E5%AD%A6%E8%BF%9B%E9%98%B6/6.042J/","text":"MIT 6.042J: Mathematics for Computer Science \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1aCalculus, Linear Algebra \u7f16\u7a0b\u8bed\u8a00\uff1aPython preferred \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a50-70 \u5c0f\u65f6 MIT \u7684\u79bb\u6563\u6570\u5b66\u4ee5\u53ca\u6982\u7387\u7efc\u5408\u8bfe\u7a0b\uff0c\u5bfc\u5e08\u662f\u5927\u540d\u9f0e\u9f0e\u7684 Tom Leighton ( Akamai \u7684\u8054\u5408\u521b\u59cb\u4eba\u4e4b\u4e00)\u3002\u5b66\u5b8c\u4e4b\u540e\u5bf9\u4e8e\u540e\u7eed\u7684\u7b97\u6cd5\u5b66\u4e60\u5927\u6709\u88e8\u76ca\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/ \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.bilibili.com/video/BV1L741147VX \u8bfe\u7a0b\u4f5c\u4e1a\uff1a https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/assignments/","title":"MIT 6.042J: Mathematics for Computer Science"},{"location":"%E6%95%B0%E5%AD%A6%E8%BF%9B%E9%98%B6/6.042J/#mit-6042j-mathematics-for-computer-science","text":"","title":"MIT 6.042J: Mathematics for Computer Science"},{"location":"%E6%95%B0%E5%AD%A6%E8%BF%9B%E9%98%B6/6.042J/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1aCalculus, Linear Algebra \u7f16\u7a0b\u8bed\u8a00\uff1aPython preferred \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a50-70 \u5c0f\u65f6 MIT \u7684\u79bb\u6563\u6570\u5b66\u4ee5\u53ca\u6982\u7387\u7efc\u5408\u8bfe\u7a0b\uff0c\u5bfc\u5e08\u662f\u5927\u540d\u9f0e\u9f0e\u7684 Tom Leighton ( Akamai 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\u8bfe\u7a0b\u7f51\u7ad9\uff1a http://www.inference.org.uk/mackay/itila/ \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.bilibili.com/video/BV1rs411T71e \u8bfe\u7a0b\u6559\u6750\uff1aInformation Theory, Inference, and Learning Algorithms \u5728\u8bfe\u7a0b\u7f51\u7ad9\u53ef\u4ee5\u4e0b\u8f7d\u5230\u514d\u8d39\u7684\u7535\u5b50\u7248 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u5728\u6bcf\u4e00\u8282\u8bfe\u89c6\u9891\u7684\u6700\u540e\u4f1a\u7559\u6559\u6750\u4e0a\u7684\u8bfe\u540e\u4e60\u9898 R.I.P Prof. David MacKay","title":"The Information Theory, Patter Recognition, and Neural Networks"},{"location":"%E6%95%B0%E5%AD%A6%E8%BF%9B%E9%98%B6/The_Information_Theory_Pattern_Recognition_and_Neural_Networks/#the-information-theory-patter-recognition-and-neural-networks","text":"","title":"The Information Theory, Patter Recognition, and Neural Networks"},{"location":"%E6%95%B0%E5%AD%A6%E8%BF%9B%E9%98%B6/The_Information_Theory_Pattern_Recognition_and_Neural_Networks/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aCambridge \u5148\u4fee\u8981\u6c42\uff1aCalculus, Linear Algebra, Probabilities and Statistics \u7f16\u7a0b\u8bed\u8a00\uff1aAnything would be OK, Python preferred \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a30-50 \u5c0f\u65f6 \u5251\u6865\u5927\u5b66 Sir David MacKay \u6559\u6388\u7684\u4fe1\u606f\u8bba\u8bfe\u7a0b\u3002\u6559\u6388\u662f\u4e00\u4f4d\u5341\u5206\u7cbe\u901a\u4fe1\u606f\u8bba\u4e0e\u795e\u7ecf\u7f51\u7edc\u7684\u5b66\u8005\uff0c\u8bfe\u7a0b\u5bf9\u5e94\u6559\u6750\u4e5f\u662f\u4fe1\u606f\u8bba\u9886\u57df\u7684\u4e00\u90e8\u7ecf\u5178\u8457\u4f5c\u3002\u53ef\u60dc\u5929\u5992\u82f1\u624d...","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%95%B0%E5%AD%A6%E8%BF%9B%E9%98%B6/The_Information_Theory_Pattern_Recognition_and_Neural_Networks/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a http://www.inference.org.uk/mackay/itila/ \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.bilibili.com/video/BV1rs411T71e \u8bfe\u7a0b\u6559\u6750\uff1aInformation Theory, Inference, and Learning Algorithms \u5728\u8bfe\u7a0b\u7f51\u7ad9\u53ef\u4ee5\u4e0b\u8f7d\u5230\u514d\u8d39\u7684\u7535\u5b50\u7248 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\u8bfe\u7a0b\u7f51\u7ad9\uff1a http://stanford.edu/class/ee364a/index.html \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.bilibili.com/video/BV1aD4y1Q7aW \u8bfe\u7a0b\u6559\u6750\uff1a Convex Optimization \u8bfe\u7a0b\u4f5c\u4e1a\uff1a9 \u4e2a Python \u7f16\u7a0b\u4f5c\u4e1a \u8d44\u6e90\u6c47\u603b @PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/Standford_CVX101 - GitHub \u4e2d\u3002","title":"Standford EE364A: Convex Optimization"},{"location":"%E6%95%B0%E5%AD%A6%E8%BF%9B%E9%98%B6/convex/#stanford-ee364a-convex-optimization","text":"","title":"Stanford EE364A: Convex Optimization"},{"location":"%E6%95%B0%E5%AD%A6%E8%BF%9B%E9%98%B6/convex/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1aPython\uff0c\u5fae\u79ef\u5206\uff0c\u7ebf\u6027\u4ee3\u6570\uff0c\u6982\u7387\u8bba\uff0c\u6570\u503c\u5206\u6790 \u7f16\u7a0b\u8bed\u8a00\uff1aPython \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a150 \u5c0f\u65f6 Stephen Boyd \u6559\u6388\u662f\u51f8\u4f18\u5316\u9886\u57df\u7684\u5927\u725b\uff0c\u5176\u7f16\u5199\u7684 Convex Optimization \u8fd9\u672c\u6559\u6750\u88ab\u4f17\u591a\u540d\u6821\u91c7\u7528\u3002\u53e6\u5916\u5176\u7814\u7a76\u56e2\u961f\u8fd8\u4e13\u95e8\u5f00\u53d1\u4e86\u4e00\u4e2a\u7528\u4e8e\u6c42\u89e3\u5e38\u89c1\u51f8\u4f18\u5316\u95ee\u9898\u7684\u7f16\u7a0b\u6846\u67b6\uff0c\u652f\u6301 Python, Julia \u7b49\u4e3b\u6d41\u7f16\u7a0b\u8bed\u8a00\uff0c\u5176\u8bfe\u7a0b\u4f5c\u4e1a\u4e5f\u662f\u91c7\u7528\u8fd9\u4e2a\u7f16\u7a0b\u6846\u67b6\u53bb\u89e3\u51b3\u5b9e\u9645\u751f\u6d3b\u5f53\u4e2d\u7684\u51f8\u4f18\u5316\u95ee\u9898\u3002 \u5728\u5b9e\u9645\u8fd0\u7528\u5f53\u4e2d\uff0c\u4f60\u4f1a\u6df1\u523b\u4f53\u4f1a\u5230\u5bf9\u4e8e\u540c\u4e00\u4e2a\u95ee\u9898\uff0c\u5efa\u6a21\u8fc7\u7a0b\u4e2d\u4e00\u4e2a\u7ec6\u5c0f\u7684\u6539\u53d8\uff0c\u5176\u65b9\u7a0b\u7684\u6c42\u89e3\u96be\u5ea6\u4f1a\u6709\u5929\u58e4\u4e4b\u522b\uff0c\u5982\u4f55\u8ba9\u4f60\u5efa\u6a21\u7684\u65b9\u7a0b\u662f\u201c\u51f8\u201d\u7684\uff0c\u662f\u4e00\u95e8\u827a\u672f\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%95%B0%E5%AD%A6%E8%BF%9B%E9%98%B6/convex/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a http://stanford.edu/class/ee364a/index.html \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.bilibili.com/video/BV1aD4y1Q7aW \u8bfe\u7a0b\u6559\u6750\uff1a Convex Optimization \u8bfe\u7a0b\u4f5c\u4e1a\uff1a9 \u4e2a Python \u7f16\u7a0b\u4f5c\u4e1a","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E6%95%B0%E5%AD%A6%E8%BF%9B%E9%98%B6/convex/#_3","text":"@PKUFlyingPig 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Join\uff0c\u7edf\u8ba1\u4fe1\u606f\u4ee5\u53ca\u4ee3\u4ef7\u4f30\u8ba1\uff0c\u5b50\u67e5\u8be2\u5b9e\u73b0\uff0cAgg\uff0cGroup By \u7684\u5b9e\u73b0\u7b49\u3002\u9664\u6b64\u4e4b\u5916\uff0c\u8fd8\u6709 B+\u6811\uff0cWAL \u76f8\u5173\u5b9e\u9a8c\u3002\u672c\u95e8\u8bfe\u7a0b\u9002\u5408\u5728\u5b66\u5b8c CMU15-445 \u8bfe\u7a0b\u4e4b\u540e\uff0c\u5bf9\u67e5\u8be2\u4f18\u5316\u76f8\u5173\u5185\u5bb9\u6709\u5174\u8da3\u7684\u540c\u5b66\u3002 \u4e0b\u9762\u4ecb\u7ecd\u4e00\u4e0b\u8fd9\u95e8\u8bfe\u7684\u524d 3 \u4e2a Assignment \u4e5f\u5c31\u662f\u5b9e\u9a8c Lab \u6240\u8981\u5b9e\u73b0\u7684\u529f\u80fd\uff1a Assignment1 \u4e3a NanoDB \u63d0\u4f9b delete\uff0cupdate \u8bed\u53e5\u7684\u652f\u6301\u3002 \u4e3a Buffer Pool Manager \u6dfb\u52a0\u5408\u9002\u7684 pin/unpin \u4ee3\u7801\u3002 \u63d0\u5347 insert \u8bed\u53e5\u7684\u6027\u80fd\uff0c \u540c\u65f6\u4e0d\u4f7f\u6570\u636e\u5e93\u6587\u4ef6\u5927\u5c0f\u8fc7\u5206\u81a8\u80c0\u3002 Assignment2 \u5b9e\u73b0\u4e00\u4e2a\u7b80\u5355\u7684\u8ba1\u5212\u751f\u6210\u5668\uff0c\u5c06\u5404\u79cd\u5df2\u7ecf Parser \u8fc7\u7684 SQL \u8bed\u53e5\u8f6c\u5316\u4e3a\u53ef\u6267\u884c\u7684\u6267\u884c\u8ba1\u5212\u3002 \u4f7f\u7528 nested-loop join \u7b97\u6cd5\uff0c\u5b9e\u73b0\u652f\u6301 inner- and outer-join \u7684 Join \u8ba1\u5212\u8282\u70b9\u3002 \u6dfb\u52a0\u4e00\u4e9b\u5355\u5143\u6d4b\u8bd5\uff0c \u4fdd\u8bc1 inner- and outer-join \u529f\u80fd\u5b9e\u73b0\u6b63\u786e\u3002 Assignment3 \u5b8c\u6210\u6536\u96c6\u8868\u7684\u7edf\u8ba1\u4fe1\u606f\u3002 \u5b8c\u6210\u5404\u79cd\u8ba1\u5212\u8282\u70b9\u7684\u8ba1\u5212\u6210\u672c\u8ba1\u7b97\u3002 \u8ba1\u7b97\u53ef\u51fa\u73b0\u5728\u6267\u884c\u8ba1\u5212\u4e2d\u7684\u5404\u79cd\u8c13\u8bcd\u7684\u9009\u62e9\u6027\u3002 \u6839\u636e\u8c13\u8bcd\u66f4\u65b0\u8ba1\u5212\u8282\u70b9\u8f93\u51fa\u7684\u5143\u7ec4\u7edf\u8ba1\u4fe1\u606f\u3002 \u5269\u4f59 Assignment \u548c Challenges \u53ef\u4ee5\u67e5\u770b\u8bfe\u7a0b\u4ecb\u7ecd\uff0c\u63a8\u8350\u4f7f\u7528 IDEA \u6253\u5f00\u5de5\u7a0b\uff0cMaven \u6784\u5efa\uff0c\u6ce8\u610f\u65e5\u5fd7\u76f8\u5173\u914d\u7f6e\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a http://courses.cms.caltech.edu/cs122/ \u8bfe\u7a0b\u4ee3\u7801\uff1a https://gitlab.caltech.edu/cs122-19wi \u8bfe\u7a0b\u6559\u6750\uff1a\u65e0 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a7 Assignments + 2 Challenges","title":"Caltech CS122: Database System Implementation"},{"location":"%E6%95%B0%E6%8D%AE%E5%BA%93%E7%B3%BB%E7%BB%9F/CS122/#caltech-cs-122-database-system-implementation","text":"","title":"Caltech CS 122: Database System Implementation"},{"location":"%E6%95%B0%E6%8D%AE%E5%BA%93%E7%B3%BB%E7%BB%9F/CS122/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aCaltech \u5148\u4fee\u8981\u6c42\uff1a\u65e0 \u7f16\u7a0b\u8bed\u8a00\uff1aJava \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f 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\u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a80 \u5c0f\u65f6 \u4f2f\u514b\u5229\u7684\u6570\u636e\u79d1\u5b66\u5165\u95e8\u8bfe\u7a0b\uff0c\u5185\u5bb9\u76f8\u5bf9\u57fa\u7840\uff0c\u8986\u76d6\u4e86\u6570\u636e\u6e05\u6d17\u3001\u7279\u5f81\u63d0\u53d6\u3001\u6570\u636e\u53ef\u89c6\u5316\u4ee5\u53ca\u673a\u5668\u5b66\u4e60\u548c\u63a8\u7406\u7684\u57fa\u7840\u5185\u5bb9\uff0c\u4e5f\u4f1a\u8bb2\u6388 Pandas, Numpy, Matplotlib \u7b49\u6570\u636e\u79d1\u5b66\u5e38\u7528\u5de5\u5177\u3002\u5176\u4e30\u5bcc\u6709\u8da3\u7684\u7f16\u7a0b\u4f5c\u4e1a\u4e5f\u662f\u8fd9\u95e8\u8bfe\u7684\u4e00\u5927\u4eae\u70b9\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6/Data100/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a https://ds100.org/fa21/ \u8bfe\u7a0b\u89c6\u9891\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9 \u8bfe\u7a0b\u6559\u6750\uff1a https://www.textbook.ds100.org/intro.html 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\u4ee5\u53ca\u7f51\u7edc\u6d41\u7b97\u6cd5\u90fd\u662f\u5728\u8fd9\u95e8\u8bfe\u4e0a\u8ba9\u6211\u8305\u585e\u987f\u5f00\u7684\uff0c\u65f6\u9694\u4e24\u5e74\u6211\u751a\u81f3\u8fd8\u80fd\u5199\u51fa\u8fd9\u4e24\u4e2a\u7b97\u6cd5\u7684\u63a8\u5bfc\u4e0e\u8bc1\u660e\u3002 \u4f60\u662f\u5426\u89c9\u5f97\u7b97\u6cd5\u5b66\u4e86\u5c31\u5fd8\u5462\uff1f\u6211\u89c9\u5f97\u8ba9\u4f60\u5b8c\u5168\u638c\u63e1\u4e00\u4e2a\u7b97\u6cd5\u7684\u6838\u5fc3\u5728\u4e8e\u7406\u89e3\u4e09\u70b9\uff1a \u4e3a\u4ec0\u4e48\u8fd9\u4e48\u505a\uff1f\uff08\u6b63\u786e\u6027\u63a8\u5bfc\uff0c\u6291\u6216\u662f\u6574\u4e2a\u7b97\u6cd5\u7684\u6838\u5fc3\u672c\u8d28\uff09 \u5982\u4f55\u5b9e\u73b0\u5b83\uff1f\uff08\u5149\u5b66\u4e0d\u7528\u5047\u628a\u5f0f\uff09 \u7528\u5b83\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\uff08\u5b66\u4ee5\u81f4\u7528\u624d\u662f\u771f\u672c\u4e8b\uff09 \u8fd9\u95e8\u8bfe\u7684\u6784\u6210\u5c31\u975e\u5e38\u597d\u5730\u5951\u5408\u4e86\u4e0a\u8ff0\u4e09\u4e2a\u6b65\u9aa4\u3002\u89c2\u770b\u8bfe\u7a0b\u89c6\u9891\u5e76\u4e14\u9605\u8bfb\u6559\u6388\u7684 \u5f00\u6e90\u8bfe\u672c \u6709\u52a9\u4e8e\u4f60\u7406\u89e3\u7b97\u6cd5\u7684\u672c\u8d28\uff0c\u8ba9\u4f60\u4e5f\u53ef\u4ee5\u7528\u975e\u5e38 \u751f\u52a8\u6d45\u663e\u7684\u8bdd\u8bed\u5411\u522b\u4eba\u8bb2\u8ff0\u4e3a\u4ec0\u4e48\u8fd9\u4e2a\u7b97\u6cd5\u5f97\u957f\u8fd9\u4e2a\u6837\u5b50\u3002 \u5728\u7406\u89e3\u7b97\u6cd5\u4e4b\u540e\uff0c\u4f60\u53ef\u4ee5\u9605\u8bfb\u6559\u6388\u5bf9\u4e8e\u8bfe\u7a0b\u4e2d\u8bb2\u6388\u7684\u6240\u6709\u6570\u636e\u7ed3\u6784\u4e0e\u7b97\u6cd5\u7684 \u4ee3\u7801\u5b9e\u73b0 \u3002 \u6ce8\u610f\uff0c\u8fd9\u4e9b\u5b9e\u73b0\u53ef\u4e0d\u662f demo \u6027\u8d28\u7684\uff0c\u800c\u662f\u5de5\u4e1a\u7ea7\u7684\u9ad8\u6548\u5b9e\u73b0\uff0c\u4ece\u6ce8\u91ca\u5230\u53d8\u91cf\u547d\u540d\u90fd\u975e\u5e38\u4e25\u8c28\uff0c\u6a21\u5757\u5316\u4e5f\u505a\u5f97\u76f8\u5f53\u597d\uff0c\u662f\u8d28\u91cf\u5f88\u9ad8\u7684\u4ee3\u7801\u3002\u6211\u4ece\u8fd9\u4e9b\u4ee3\u7801\u4e2d\u6536\u83b7\u826f\u591a\u3002 \u6700\u540e\uff0c\u5c31\u662f\u8fd9\u95e8\u8bfe\u6700\u6fc0\u52a8\u4eba\u5fc3\u7684\u90e8\u5206\u4e86\uff0c10 \u4e2a\u9ad8\u8d28\u91cf\u7684 Project\uff0c\u5e76\u4e14\u5168\u90fd\u6709\u5b9e\u9645\u95ee\u9898\u7684\u80cc\u666f\u63cf\u8ff0\uff0c\u4e30\u5bcc\u7684\u6d4b\u8bd5\u6837\u4f8b\uff0c\u81ea\u52a8\u7684\u8bc4\u5206\u7cfb\u7edf\uff08\u4ee3\u7801\u98ce\u683c\u4e5f\u662f\u8bc4\u5206\u7684\u4e00\u73af\uff09\u3002\u8ba9\u4f60\u5728\u5b9e\u9645\u751f\u6d3b\u4e2d \u9886\u7565\u7b97\u6cd5\u7684\u9b45\u529b\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a Algorithm I , Algorithm II \u8bfe\u7a0b\u89c6\u9891\uff1a\u8be6\u89c1\u8bfe\u7a0b\u7f51\u7ad9 \u8bfe\u7a0b\u6559\u6750\uff1a https://algs4.cs.princeton.edu/home/ \u8bfe\u7a0b\u4f5c\u4e1a\uff1a10\u4e2aProject\uff0c\u5177\u4f53\u8981\u6c42\u8be6\u89c1\u8bfe\u7a0b\u7f51\u7ad9 \u8d44\u6e90\u6c47\u603b @PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/Princeton-Algorithm - GitHub \u4e2d\u3002","title":"Coursera: Algorithms I & II"},{"location":"%E6%95%B0%E6%8D%AE%E7%BB%93%E6%9E%84%E4%B8%8E%E7%AE%97%E6%B3%95/Algo/#coursera-algorithms-i-ii","text":"","title":"Coursera: Algorithms I & II"},{"location":"%E6%95%B0%E6%8D%AE%E7%BB%93%E6%9E%84%E4%B8%8E%E7%AE%97%E6%B3%95/Algo/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aPrinceton \u5148\u4fee\u8981\u6c42\uff1aCS61A \u7f16\u7a0b\u8bed\u8a00\uff1aJava \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a60 \u5c0f\u65f6 \u8fd9\u662f Coursera \u4e0a\u8bc4\u5206\u6700\u9ad8\u7684\u7b97\u6cd5\u8bfe\u7a0b\u3002Robert Sedgewick \u6559\u6388\u6709\u4e00\u79cd\u9b54\u529b\uff0c\u53ef\u4ee5\u5c06\u65e0\u8bba\u591a\u4e48\u590d\u6742\u7684\u7b97\u6cd5\u8bb2\u5f97\u6781\u4e3a\u751f\u52a8\u6d45\u663e\u3002\u5b9e\u4e0d\u76f8\u7792\uff0c\u56f0\u6270\u6211\u591a\u5e74\u7684 KMP \u4ee5\u53ca\u7f51\u7edc\u6d41\u7b97\u6cd5\u90fd\u662f\u5728\u8fd9\u95e8\u8bfe\u4e0a\u8ba9\u6211\u8305\u585e\u987f\u5f00\u7684\uff0c\u65f6\u9694\u4e24\u5e74\u6211\u751a\u81f3\u8fd8\u80fd\u5199\u51fa\u8fd9\u4e24\u4e2a\u7b97\u6cd5\u7684\u63a8\u5bfc\u4e0e\u8bc1\u660e\u3002 \u4f60\u662f\u5426\u89c9\u5f97\u7b97\u6cd5\u5b66\u4e86\u5c31\u5fd8\u5462\uff1f\u6211\u89c9\u5f97\u8ba9\u4f60\u5b8c\u5168\u638c\u63e1\u4e00\u4e2a\u7b97\u6cd5\u7684\u6838\u5fc3\u5728\u4e8e\u7406\u89e3\u4e09\u70b9\uff1a \u4e3a\u4ec0\u4e48\u8fd9\u4e48\u505a\uff1f\uff08\u6b63\u786e\u6027\u63a8\u5bfc\uff0c\u6291\u6216\u662f\u6574\u4e2a\u7b97\u6cd5\u7684\u6838\u5fc3\u672c\u8d28\uff09 \u5982\u4f55\u5b9e\u73b0\u5b83\uff1f\uff08\u5149\u5b66\u4e0d\u7528\u5047\u628a\u5f0f\uff09 \u7528\u5b83\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\uff08\u5b66\u4ee5\u81f4\u7528\u624d\u662f\u771f\u672c\u4e8b\uff09 \u8fd9\u95e8\u8bfe\u7684\u6784\u6210\u5c31\u975e\u5e38\u597d\u5730\u5951\u5408\u4e86\u4e0a\u8ff0\u4e09\u4e2a\u6b65\u9aa4\u3002\u89c2\u770b\u8bfe\u7a0b\u89c6\u9891\u5e76\u4e14\u9605\u8bfb\u6559\u6388\u7684 \u5f00\u6e90\u8bfe\u672c \u6709\u52a9\u4e8e\u4f60\u7406\u89e3\u7b97\u6cd5\u7684\u672c\u8d28\uff0c\u8ba9\u4f60\u4e5f\u53ef\u4ee5\u7528\u975e\u5e38 \u751f\u52a8\u6d45\u663e\u7684\u8bdd\u8bed\u5411\u522b\u4eba\u8bb2\u8ff0\u4e3a\u4ec0\u4e48\u8fd9\u4e2a\u7b97\u6cd5\u5f97\u957f\u8fd9\u4e2a\u6837\u5b50\u3002 \u5728\u7406\u89e3\u7b97\u6cd5\u4e4b\u540e\uff0c\u4f60\u53ef\u4ee5\u9605\u8bfb\u6559\u6388\u5bf9\u4e8e\u8bfe\u7a0b\u4e2d\u8bb2\u6388\u7684\u6240\u6709\u6570\u636e\u7ed3\u6784\u4e0e\u7b97\u6cd5\u7684 \u4ee3\u7801\u5b9e\u73b0 \u3002 \u6ce8\u610f\uff0c\u8fd9\u4e9b\u5b9e\u73b0\u53ef\u4e0d\u662f demo \u6027\u8d28\u7684\uff0c\u800c\u662f\u5de5\u4e1a\u7ea7\u7684\u9ad8\u6548\u5b9e\u73b0\uff0c\u4ece\u6ce8\u91ca\u5230\u53d8\u91cf\u547d\u540d\u90fd\u975e\u5e38\u4e25\u8c28\uff0c\u6a21\u5757\u5316\u4e5f\u505a\u5f97\u76f8\u5f53\u597d\uff0c\u662f\u8d28\u91cf\u5f88\u9ad8\u7684\u4ee3\u7801\u3002\u6211\u4ece\u8fd9\u4e9b\u4ee3\u7801\u4e2d\u6536\u83b7\u826f\u591a\u3002 \u6700\u540e\uff0c\u5c31\u662f\u8fd9\u95e8\u8bfe\u6700\u6fc0\u52a8\u4eba\u5fc3\u7684\u90e8\u5206\u4e86\uff0c10 \u4e2a\u9ad8\u8d28\u91cf\u7684 Project\uff0c\u5e76\u4e14\u5168\u90fd\u6709\u5b9e\u9645\u95ee\u9898\u7684\u80cc\u666f\u63cf\u8ff0\uff0c\u4e30\u5bcc\u7684\u6d4b\u8bd5\u6837\u4f8b\uff0c\u81ea\u52a8\u7684\u8bc4\u5206\u7cfb\u7edf\uff08\u4ee3\u7801\u98ce\u683c\u4e5f\u662f\u8bc4\u5206\u7684\u4e00\u73af\uff09\u3002\u8ba9\u4f60\u5728\u5b9e\u9645\u751f\u6d3b\u4e2d \u9886\u7565\u7b97\u6cd5\u7684\u9b45\u529b\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%95%B0%E6%8D%AE%E7%BB%93%E6%9E%84%E4%B8%8E%E7%AE%97%E6%B3%95/Algo/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a Algorithm I , Algorithm II \u8bfe\u7a0b\u89c6\u9891\uff1a\u8be6\u89c1\u8bfe\u7a0b\u7f51\u7ad9 \u8bfe\u7a0b\u6559\u6750\uff1a https://algs4.cs.princeton.edu/home/ \u8bfe\u7a0b\u4f5c\u4e1a\uff1a10\u4e2aProject\uff0c\u5177\u4f53\u8981\u6c42\u8be6\u89c1\u8bfe\u7a0b\u7f51\u7ad9","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E6%95%B0%E6%8D%AE%E7%BB%93%E6%9E%84%E4%B8%8E%E7%AE%97%E6%B3%95/Algo/#_3","text":"@PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/Princeton-Algorithm - GitHub \u4e2d\u3002","title":"\u8d44\u6e90\u6c47\u603b"},{"location":"%E6%95%B0%E6%8D%AE%E7%BB%93%E6%9E%84%E4%B8%8E%E7%AE%97%E6%B3%95/CS170/","text":"CS170: Efficient Algorithms and Intractable Problems \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aUC Berkeley \u5148\u4fee\u8981\u6c42\uff1aCS61B, CS70 \u7f16\u7a0b\u8bed\u8a00\uff1aLaTeX \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a60 \u5c0f\u65f6 \u4f2f\u514b\u5229\u7684\u7b97\u6cd5\u8bbe\u8ba1\u8bfe\uff0c\u66f4\u6ce8\u91cd\u7b97\u6cd5\u7684\u7406\u8bba\u57fa\u7840\u4e0e\u590d\u6742\u5ea6\u5206\u6790\u3002\u8bfe\u7a0b\u5185\u5bb9\u6db5\u76d6\u4e86\u5206\u6cbb\u3001\u56fe\u7b97\u6cd5\u3001\u6700\u77ed\u8def\u3001\u751f\u6210\u6811\u3001\u8d2a\u5fc3\u3001\u52a8\u89c4\u3001\u5e76\u67e5\u96c6\u3001\u7ebf\u6027\u89c4\u5212\u3001\u7f51\u7edc\u6d41\u3001NP \u95ee\u9898\u3001\u968f\u673a\u7b97\u6cd5\u3001\u54c8\u5e0c\u7b97\u6cd5\u7b49\u7b49\u3002 \u8fd9\u95e8\u8bfe\u7684\u6559\u6750\u5199\u7684\u5f88\u597d\uff0c\u8bc1\u660e\u6d45\u663e\u6613\u61c2\uff0c\u975e\u5e38\u9002\u5408\u4f5c\u4e3a\u5de5\u5177\u4e66\u67e5\u9605\u3002\u53e6\u5916\uff0c\u8fd9\u95e8\u8bfe\u53ea\u6709\u4e66\u9762\u4f5c\u4e1a\uff0c\u5e76\u4e14\u63a8\u8350\u7528 LaTeX \u7f16\u5199\uff0c\u5927\u5bb6\u53ef\u4ee5\u501f\u6b64\u673a\u4f1a\u953b\u70bc\u81ea\u5df1\u7684 LaTeX \u6280\u5de7\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://cs170.org/ \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.bilibili.com/video/BV1BU4y1b7RK \u8bfe\u7a0b\u6559\u6750\uff1a\u8be6\u89c1\u8bfe\u7a0b\u7f51\u7ad9 notes \u8bfe\u7a0b\u4f5c\u4e1a\uff1a13 \u6b21\u4e66\u9762\u4f5c\u4e1a\uff0c\u7528 LaTeX \u7f16\u5199 \u8d44\u6e90\u6c47\u603b @PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/UCB-CS170 - GitHub \u4e2d\u3002","title":"UCB CS170: Efficient Algorithms 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\u76f8\u5173\u7684\u7f16\u7a0b\u5f00\u53d1\u7684\u8bdd\uff0c\u8fd9\u95e8\u8bfe\u6709\u4e30\u5bcc\u4e14\u89c4\u8303\u7684\u4ee3\u7801\u793a\u4f8b\u4ee5\u4f9b\u53c2\u8003\u3002 \u6240\u6709\u7684\u8bfe\u7a0b\u8d44\u6e90\u5168\u90e8\u5f00\u6e90\u5e76\u4e14\u6709\u4e2d\u6587\u548c\u82f1\u6587\u4e24\u4e2a\u7248\u672c\uff0cB\u7ad9\u548c\u6cb9\u7ba1\u5206\u522b\u6709\u4e2d\u6587\u548c\u82f1\u6587\u7684\u8bfe\u7a0b\u5f55\u5f71\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://mlc.ai/summer22-zh/ \u8bfe\u7a0b\u89c6\u9891\uff1a Bilibili \u8bfe\u7a0b\u7b14\u8bb0\uff1a https://mlc.ai/zh/index.html \u8bfe\u7a0b\u4f5c\u4e1a\uff1a https://github.com/mlc-ai/notebooks/blob/main/assignment","title":"Machine Learning Compilation"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%B3%BB%E7%BB%9F/MLC/#machine-learning-compilation","text":"","title":"Machine Learning Compilation"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%B3%BB%E7%BB%9F/MLC/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aBilibili \u5927\u5b66 \u5148\u4fee\u8981\u6c42\uff1a\u673a\u5668\u5b66\u4e60/\u6df1\u5ea6\u5b66\u4e60\u57fa\u7840 \u7f16\u7a0b\u8bed\u8a00\uff1aPython \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a30\u5c0f\u65f6 \u8fd9\u95e8\u8bfe\u662f\u673a\u5668\u5b66\u4e60\u7f16\u8bd1\u9886\u57df\u7684\u9876\u5c16\u5b66\u8005\u9648\u5929\u5947\u57282022\u5e74\u6691\u671f\u5f00\u8bbe\u7684\u4e00\u95e8\u5728\u7ebf\u8bfe\u7a0b\u3002\u5176\u5b9e\u673a\u5668\u5b66\u4e60\u7f16\u8bd1\u65e0\u8bba\u5728\u5de5\u4e1a\u754c\u8fd8\u662f\u5b66\u672f\u754c\u4ecd\u7136\u662f\u4e00\u4e2a\u975e\u5e38\u524d\u6cbf\u4e14\u5feb\u901f\u66f4\u8fed\u7684\u9886\u57df\uff0c\u56fd\u5185\u5916\u6b64\u524d\u8fd8\u6ca1\u6709\u4e3a\u8fd9\u4e2a\u65b9\u5411\u4e13\u95e8\u5f00\u8bbe\u7684\u76f8\u5173\u8bfe\u7a0b\u3002\u56e0\u6b64\u5982\u679c\u5bf9\u673a\u5668\u5b66\u4e60\u7f16\u8bd1\u611f\u5174\u8da3\u60f3\u6709\u4e2a\u5168\u8c8c\u6027\u7684\u611f\u77e5\u7684\u8bdd\uff0c\u53ef\u4ee5\u5b66\u4e60\u4e00\u4e0b\u8fd9\u95e8\u8bfe\u3002 \u672c\u8bfe\u7a0b\u4e3b\u8981\u4ee5 Apache TVM \u8fd9\u4e00\u4e3b\u6d41\u7684\u673a\u5668\u5b66\u4e60\u7f16\u8bd1\u6846\u67b6\u4e3a\u4f8b\uff08\u9648\u5929\u5947\u662f\u8fd9\u4e2a\u6846\u67b6\u7684\u521b\u59cb\u4eba\u4e4b\u4e00\uff09\uff0c\u805a\u7126\u4e8e\u5982\u4f55\u5c06\u5f00\u53d1\u6a21\u5f0f\u4e0b\uff08\u5982 Tensorflow, Pytorch, Jax\uff09\u7684\u5404\u7c7b\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff0c\u901a\u8fc7\u4e00\u5957\u666e\u9002\u7684\u62bd\u8c61\u548c\u4f18\u5316\u7b97\u6cd5\uff0c\u53d8\u6362\u4e3a\u62e5\u6709\u66f4\u9ad8\u6027\u80fd\u5e76\u4e14\u9002\u914d\u5404\u7c7b\u5e95\u5c42\u786c\u4ef6\u7684\u90e8\u7f72\u6a21\u5f0f\u3002\u8bfe\u7a0b\u8bb2\u6388\u7684\u77e5\u8bc6\u70b9\u90fd\u662f\u76f8\u5bf9 High-Level \u7684\u5b8f\u89c2\u6982\u5ff5\uff0c\u540c\u65f6\u6bcf\u8282\u8bfe\u90fd\u4f1a\u6709\u4e00\u4e2a\u914d\u5957\u7684 Jupyter Notebook \u6765\u901a\u8fc7\u5177\u4f53\u7684\u4ee3\u7801\u8bb2\u89e3\u77e5\u8bc6\u70b9\uff0c\u56e0\u6b64\u5982\u679c\u4ece\u4e8b TVM \u76f8\u5173\u7684\u7f16\u7a0b\u5f00\u53d1\u7684\u8bdd\uff0c\u8fd9\u95e8\u8bfe\u6709\u4e30\u5bcc\u4e14\u89c4\u8303\u7684\u4ee3\u7801\u793a\u4f8b\u4ee5\u4f9b\u53c2\u8003\u3002 \u6240\u6709\u7684\u8bfe\u7a0b\u8d44\u6e90\u5168\u90e8\u5f00\u6e90\u5e76\u4e14\u6709\u4e2d\u6587\u548c\u82f1\u6587\u4e24\u4e2a\u7248\u672c\uff0cB\u7ad9\u548c\u6cb9\u7ba1\u5206\u522b\u6709\u4e2d\u6587\u548c\u82f1\u6587\u7684\u8bfe\u7a0b\u5f55\u5f71\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%B3%BB%E7%BB%9F/MLC/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a https://mlc.ai/summer22-zh/ \u8bfe\u7a0b\u89c6\u9891\uff1a Bilibili \u8bfe\u7a0b\u7b14\u8bb0\uff1a https://mlc.ai/zh/index.html \u8bfe\u7a0b\u4f5c\u4e1a\uff1a https://github.com/mlc-ai/notebooks/blob/main/assignment","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/CMU10-708/","text":"CMU 10-708: Probabilistic Graphical Models \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aCMU \u5148\u4fee\u8981\u6c42\uff1aMachine Learning, Deep Learning, Reinforcement Learning \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://sailinglab.github.io/pgm-spring-2019/ \u8fd9\u4e2a\u7f51\u7ad9\u5305\u542b\u4e86\u6240\u6709\u7684\u8d44\u6e90\uff1aslides, nots, video, homework, project \u8fd9\u95e8\u8bfe\u7a0b\u662f CMU \u7684\u56fe\u6a21\u578b\u57fa\u7840 + \u8fdb\u9636\u8bfe\uff0c\u6388\u8bfe\u8001\u5e08\u4e3a Eric P. Xing\uff0c\u6db5\u76d6\u4e86\u56fe\u6a21\u578b\u57fa\u7840\uff0c\u4e0e\u795e\u7ecf\u7f51\u7edc\u7684\u7ed3\u5408\uff0c\u5728\u5f3a\u5316\u5b66\u4e60\u4e2d\u7684\u5e94\u7528\uff0c\u4ee5\u53ca\u975e\u53c2\u6570\u65b9\u6cd5\u3002\u76f8\u5f53\u786c\u6838","title":"CMU 10-708: Probabilistic Graphical Models"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/CMU10-708/#cmu-10-708-probabilistic-graphical-models","text":"","title":"CMU 10-708: Probabilistic Graphical Models"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/CMU10-708/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aCMU \u5148\u4fee\u8981\u6c42\uff1aMachine Learning, Deep Learning, Reinforcement Learning \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://sailinglab.github.io/pgm-spring-2019/ \u8fd9\u4e2a\u7f51\u7ad9\u5305\u542b\u4e86\u6240\u6709\u7684\u8d44\u6e90\uff1aslides, nots, video, homework, project \u8fd9\u95e8\u8bfe\u7a0b\u662f CMU \u7684\u56fe\u6a21\u578b\u57fa\u7840 + \u8fdb\u9636\u8bfe\uff0c\u6388\u8bfe\u8001\u5e08\u4e3a Eric P. Xing\uff0c\u6db5\u76d6\u4e86\u56fe\u6a21\u578b\u57fa\u7840\uff0c\u4e0e\u795e\u7ecf\u7f51\u7edc\u7684\u7ed3\u5408\uff0c\u5728\u5f3a\u5316\u5b66\u4e60\u4e2d\u7684\u5e94\u7528\uff0c\u4ee5\u53ca\u975e\u53c2\u6570\u65b9\u6cd5\u3002\u76f8\u5f53\u786c\u6838","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/CS229M/","text":"STATS214 / CS229M: Machine Learning Theory \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1aMachine Learning, Deep Learning, Statistics \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u8bfe\u7a0b\u7f51\u7ad9\uff1a http://web.stanford.edu/class/stats214/ \u7ecf\u5178\u5b66\u4e60\u7406\u8bba + \u6700\u65b0\u6df1\u5ea6\u5b66\u4e60\u7406\u8bba\uff0c\u975e\u5e38\u786c\u6838\u3002\u6388\u8bfe\u8001\u5e08\u4e4b\u524d\u662f Percy Liang\uff0c\u73b0\u5728\u662f Tengyu Ma","title":"Stanford STATS214 / CS229M: Machine Learning Theory"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/CS229M/#stats214-cs229m-machine-learning-theory","text":"","title":"STATS214 / CS229M: Machine Learning Theory"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/CS229M/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1aMachine Learning, Deep Learning, Statistics \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u8bfe\u7a0b\u7f51\u7ad9\uff1a http://web.stanford.edu/class/stats214/ \u7ecf\u5178\u5b66\u4e60\u7406\u8bba + \u6700\u65b0\u6df1\u5ea6\u5b66\u4e60\u7406\u8bba\uff0c\u975e\u5e38\u786c\u6838\u3002\u6388\u8bfe\u8001\u5e08\u4e4b\u524d\u662f Percy Liang\uff0c\u73b0\u5728\u662f Tengyu Ma","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/STA4273/","text":"STA 4273 Winter 2021: Minimizing Expectations \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aU Toronto \u5148\u4fee\u8981\u6c42\uff1aBayesian Inference, Reinforcement Learning \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://www.cs.toronto.edu/~cmaddis/courses/sta4273_w21/ \u8fd9\u662f\u4e00\u95e8\u8f83\u4e3a\u8fdb\u9636\u7684 Ph.D. \u7814\u7a76\u8bfe\u7a0b\uff0c\u6838\u5fc3\u5185\u5bb9\u662f inference \u548c control \u4e4b\u95f4\u7684\u5173\u7cfb\u3002\u6388\u8bfe\u8001\u5e08\u4e3a Chris Maddison (AlphaGo founding member, NeurIPS 14 best paper)","title":"U Toronto STA 4273 Winter 2021: Minimizing Expectations"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/STA4273/#sta-4273-winter-2021-minimizing-expectations","text":"","title":"STA 4273 Winter 2021: Minimizing Expectations"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/STA4273/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aU Toronto \u5148\u4fee\u8981\u6c42\uff1aBayesian Inference, Reinforcement Learning \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://www.cs.toronto.edu/~cmaddis/courses/sta4273_w21/ \u8fd9\u662f\u4e00\u95e8\u8f83\u4e3a\u8fdb\u9636\u7684 Ph.D. \u7814\u7a76\u8bfe\u7a0b\uff0c\u6838\u5fc3\u5185\u5bb9\u662f inference \u548c control \u4e4b\u95f4\u7684\u5173\u7cfb\u3002\u6388\u8bfe\u8001\u5e08\u4e3a Chris Maddison (AlphaGo founding member, NeurIPS 14 best paper)","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/STAT8201/","text":"Columbia STAT 8201: Deep Generative Models \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aColumbia University \u5148\u4fee\u8981\u6c42\uff1aMachine Learning, Deep Learning, Graphical Models \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u8bfe\u7a0b\u7f51\u7ad9\uff1a http://stat.columbia.edu/~cunningham/teaching/GR8201/ \u8fd9\u95e8\u8bfe\u662f\u4e00\u95e8 PhD \u8ba8\u8bba\u73ed\uff0c\u6bcf\u5468\u7684\u5185\u5bb9\u662f\u5c55\u793a + \u8ba8\u8bba\u8bba\u6587\uff0c\u6388\u8bfe\u8001\u5e08\u662f John Cunningham\u3002Deep Generative Models \uff08\u6df1\u5ea6\u751f\u6210\u6a21\u578b\uff09 \u662f\u56fe\u6a21\u578b\u4e0e\u795e\u7ecf\u7f51\u7edc\u7684\u7ed3\u5408\uff0c\u4e5f\u662f\u73b0\u4ee3\u673a\u5668\u5b66\u4e60\u6700\u91cd\u8981\u7684\u65b9\u5411\u4e4b\u4e00","title":"Columbia STAT 8201: Deep Generative Models"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/STAT8201/#columbia-stat-8201-deep-generative-models","text":"","title":"Columbia STAT 8201: Deep Generative Models"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/STAT8201/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aColumbia University \u5148\u4fee\u8981\u6c42\uff1aMachine Learning, Deep Learning, Graphical Models \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u8bfe\u7a0b\u7f51\u7ad9\uff1a http://stat.columbia.edu/~cunningham/teaching/GR8201/ \u8fd9\u95e8\u8bfe\u662f\u4e00\u95e8 PhD \u8ba8\u8bba\u73ed\uff0c\u6bcf\u5468\u7684\u5185\u5bb9\u662f\u5c55\u793a + \u8ba8\u8bba\u8bba\u6587\uff0c\u6388\u8bfe\u8001\u5e08\u662f John Cunningham\u3002Deep Generative Models \uff08\u6df1\u5ea6\u751f\u6210\u6a21\u578b\uff09 \u662f\u56fe\u6a21\u578b\u4e0e\u795e\u7ecf\u7f51\u7edc\u7684\u7ed3\u5408\uff0c\u4e5f\u662f\u73b0\u4ee3\u673a\u5668\u5b66\u4e60\u6700\u91cd\u8981\u7684\u65b9\u5411\u4e4b\u4e00","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/roadmap/","text":"\u673a\u5668\u5b66\u4e60\u8fdb\u9636 \u6b64\u8def\u7ebf\u56fe\u9002\u7528\u4e8e\u5df2\u7ecf\u5b66\u8fc7\u4e86\u57fa\u7840\u673a\u5668\u5b66\u4e60 (ML, NLP, CV, RL) \u7684\u540c\u5b66 (\u9ad8\u5e74\u7ea7\u672c\u79d1\u751f\u6216\u4f4e\u5e74\u7ea7\u7814\u7a76\u751f)\uff0c\u5df2\u7ecf\u53d1\u8868\u8fc7\u81f3\u5c11\u4e00\u7bc7\u9876\u4f1a\u8bba\u6587 (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, CVPR, ICCV) \u60f3\u8981\u8d70\u673a\u5668\u5b66\u4e60\u79d1\u7814\u8def\u7ebf\u7684\u9009\u624b\u3002 \u6b64\u8def\u7ebf\u7684\u76ee\u6807\u662f\u4e3a\u8bfb\u61c2\u4e0e\u53d1\u8868\u673a\u5668\u5b66\u4e60\u9876\u4f1a\u8bba\u6587\u6253\u4e0b\u7406\u8bba\u57fa\u7840\uff0c\u7279\u522b\u662f Probabilistic Methods \u8fd9\u4e2a track \u4e0b\u7684\u6587\u7ae0 \u673a\u5668\u5b66\u4e60\u8fdb\u9636\u53ef\u80fd\u5b58\u5728\u591a\u79cd\u4e0d\u540c\u7684\u5b66\u4e60\u8def\u7ebf\uff0c\u6b64\u8def\u7ebf\u53ea\u80fd\u4ee3\u8868\u4f5c\u8005 Yao Fu \u6240\u7406\u89e3\u7684\u6700\u4f73\u8def\u5f84\uff0c\u4fa7\u91cd\u4e8e\u8d1d\u53f6\u65af\u5b66\u6d3e\u4e0b\u7684\u6982\u7387\u5efa\u6a21\u65b9\u6cd5\uff0c\u4e5f\u4f1a\u6d89\u53ca\u5230\u5404\u9879\u76f8\u5173\u5b66\u79d1\u7684\u4ea4\u53c9\u77e5\u8bc6\u3002 \u5fc5\u8bfb\u6559\u6750 PRML: Pattern Recognition and Machine Learning. Christopher Bishop \u7ecf\u5178\u8d1d\u53f6\u65af\u5b66\u6d3e\u6559\u6750 AoS: All of Statistics. Larry Wasserman \u7ecf\u5178\u9891\u7387\u5b66\u6d3e\u6559\u6750 \u6240\u4ee5\u8fd9\u4e24\u672c\u4e66\u521a\u597d\u76f8\u8f85\u76f8\u6210 \u5b57\u5178 MLAPP: Machine Learning: A Probabilistic Perspective. Kevin Murphy Convex Optimization. Stephen Boyd and Lieven Vandenberghe \u8fdb\u9636\u4e66\u7c4d W&J: Graphical Models, Exponential Families, and Variational Inference. Martin Wainwright and Michael Jordan Theory of Point Estimation. E. L. Lehmann and George Casella \u5982\u4f55\u9605\u8bfb Guidelines \u5fc5\u8bfb\u6559\u6750\u5c31\u662f\u4e00\u5b9a\u8981\u8bfb\u7684\u6559\u6750 \u5b57\u5178\u7684\u610f\u601d\u662f\uff0c\u4e00\u822c\u60c5\u51b5\u4e0b\u4e0d\u7ba1\u5b83\uff0c\u4f46\u5f53\u9047\u5230\u4e86\u4e0d\u61c2\u7684\u6982\u5ff5\u7684\u65f6\u5019\uff0c\u5c31\u53bb\u5b57\u5178\u91cc\u9762\u67e5\uff08\u800c\u4e0d\u662f\u7ef4\u57fa\u767e\u79d1\uff09 \u8fdb\u9636\u4e66\u7c4d\u5148\u4e0d\u8bfb\uff0c\u5148\u8bfb\u5b8c\u5fc5\u8bfb\u4e66\u7c4d\u3002\u5fc5\u8bfb\u4e66\u7c4d\u4e00\u822c\u90fd\u662f\u8981\u524d\u524d\u540e\u540e\u53cd\u590d\u770b\u8fc7 N \u904d\u624d\u7b97\u8bfb\u5b8c \u8bfb\u7684\u8fc7\u7a0b\u4e2d\uff0c\u6700\u91cd\u8981\u7684\u8bfb\u6cd5\u5c31\u662f\u5bf9\u6bd4\u9605\u8bfb (contrastive-comparative reading)\uff1a\u540c\u65f6\u6253\u5f00\u4e24\u672c\u4e66\u8bb2\u540c\u4e00\u4e3b\u9898\u7684\u7ae0\u8282\uff0c\u7136\u540e\u5bf9\u6bd4\u76f8\u540c\u70b9\u548c\u4e0d\u540c\u70b9\u548c\u8054\u7cfb \u8bfb\u7684\u8fc7\u7a0b\u4e2d\uff0c\u5c3d\u91cf\u53bb\u56de\u60f3\u4e4b\u524d\u8bfb\u8fc7\u7684\u8bba\u6587\uff0c\u6bd4\u8f83\u8bba\u6587\u548c\u6559\u6750\u7684\u76f8\u540c\u70b9\u4e0e\u4e0d\u540c\u70b9 \u57fa\u7840\u8def\u5f84 \u5148\u8bfb AoS \u7b2c\u516d\u7ae0: Models, Statistical Inference and Learning\uff0c\u8fd9\u4e00\u90e8\u5206\u662f\u6700\u57fa\u7840\u7684\u79d1\u666e \u7136\u540e\u8bfb PRML \u7b2c 10, 11 \u7ae0 \u7b2c 10 \u7ae0\u7684\u5185\u5bb9\u662f Variational Inference, \u7b2c 11 \u7ae0\u7684\u5185\u5bb9\u662f MCMC, \u8fd9\u4e24\u79cd\u65b9\u6cd5\u662f\u8d1d\u53f6\u65af\u63a8\u65ad\u7684\u4e24\u6761\u6700\u4e3b\u8981\u8def\u7ebf \u5982\u679c\u5728\u8bfb PRML \u7684\u8fc7\u7a0b\u4e2d\u53d1\u73b0\u6709\u4efb\u4f55\u4e0d\u61c2\u7684\u540d\u8bcd\uff0c\u5c31\u53bb\u7ffb\u524d\u9762\u7684\u7ae0\u8282\u3002\u5f88\u5927\u6982\u7387\u80fd\u591f\u5728\u7b2c 3\uff0c4 \u7ae0\u627e\u5230\u76f8\u5bf9\u5e94\u7684\u5b9a\u4e49\uff1b\u5982\u679c\u627e\u4e0d\u5230\u6216\u8005\u4e0d\u591f\u8be6\u7ec6\uff0c\u5c31\u53bb\u67e5 MLAPP AoS \u7b2c 8 \u7ae0 (Parametric Inference) \u548c\u7b2c 11 \u7ae0 (Bayesian Inference) \u4e5f\u53ef\u4ee5\u4f5c\u4e3a\u53c2\u8003\u3002\u6700\u597d\u7684\u65b9\u6cd5\u662f\u591a\u672c\u4e66\u5bf9\u6bd4\u9605\u8bfb\uff0c\u6d41\u7a0b\u5982\u4e0b \u5047\u8bbe\u6211\u5728\u8bfb PRML \u7b2c 10 \u7ae0\u7684\u65f6\u5019\u53d1\u73b0\u4e86\u4e00\u4e2a\u4e0d\u61c2\u7684\u8bcd\uff1aposterior inference \u4e8e\u662f\u6211\u5f80\u524d\u7ffb\uff0c\u7ffb\u5230\u4e86\u7b2c 3 \u7ae0 (Linear Model for Regression)\uff0c\u770b\u5230\u4e86\u6700\u7b80\u5355\u7684 posterior \u7136\u540e\u6211\u63a5\u7740\u7ffb AoS\uff0c\u7ffb\u5230\u4e86\u7b2c 11 \u7ae0\uff0c\u4e5f\u6709\u5bf9 posterior \u7684\u63cf\u8ff0 \u7136\u540e\u6211\u5bf9\u6bd4 PRML \u7b2c 10 \u7ae0\uff0c\u7b2c 3 \u7ae0\uff0cAoS \u7b2c 11 \u7ae0\uff0c\u4e09\u5904\u4e0d\u540c\u5730\u65b9\u5bf9 posterior \u7684\u89e3\u8bfb\uff0c\u6bd4\u8f83\u5176\u76f8\u540c\u70b9\u548c\u4e0d\u540c\u70b9\u548c\u8054\u7cfb \u8bfb\u5b8c PRML \u7b2c 10 \u548c 11 \u7ae0\u4e4b\u540e\uff0c\u63a5\u7740\u8bfb AoS \u7b2c 24 \u7ae0 (Simulation Methods)\uff0c\u7136\u540e\u628a\u5b83\u548c PRML \u7b2c 11 \u7ae0\u5bf9\u6bd4\u9605\u8bfb -- \u8fd9\u4fe9\u90fd\u662f\u8bb2 MCMC \u5982\u679c\u5230\u6b64\u5904\u53d1\u73b0\u8fd8\u6709\u57fa\u7840\u6982\u5ff5\u8bfb\u4e0d\u61c2\uff0c\u5c31\u56de\u5230 PRML \u7b2c 3 \u7ae0\uff0c\u628a\u5b83\u548c AoS \u7b2c 11 \u7ae0\u5bf9\u6bd4\u9605\u8bfb Again\uff0c\u5bf9\u6bd4\u9605\u8bfb\u975e\u5e38\u91cd\u8981\uff0c\u4e00\u5b9a\u8981\u628a\u4e0d\u540c\u672c\u4e66\u7684\u7c7b\u4f3c\u5185\u5bb9\u540c\u65f6\u6446\u5728\u9762\u524d\u76f8\u4e92\u5bf9\u6bd4\uff0c\u8fd9\u6837\u53ef\u4ee5\u663e\u8457\u589e\u5f3a\u8bb0\u5fc6 \u7136\u540e\u8bfb PRML \u7b2c 13 \u7ae0\uff08\u8df3\u8fc7\u7b2c 12 \u7ae0\uff09\uff0c\u8fd9\u4e00\u7ae0\u53ef\u4ee5\u548c MLAPP \u7684\u7b2c 17, 18 \u7ae0\u5bf9\u6bd4\u9605\u8bfb MLAPP \u7b2c 17 \u7ae0\u662f PRML \u7b2c 13.2 \u7ae0\u7684\u8be6\u7ec6\u7248\uff0c\u4e3b\u8981\u8bb2 HMM MLAPP \u7b2c 18 \u7ae0\u662f PRML \u7b2c 13.3 \u7ae0\u7684\u8be6\u7ec6\u7248\uff0c\u4e3b\u8981\u8bb2 LDS \u8bfb\u5b8c PRML \u7b2c 13 \u7ae0\u4e4b\u540e\uff0c\u518d\u53bb\u8bfb PRML \u7b2c 8 \u7ae0 (Graphical Models) -- \u6b64\u65f6\u8fd9\u90e8\u5206\u5e94\u8be5\u4f1a\u8bfb\u5f97\u5f88\u8f7b\u677e \u4ee5\u4e0a\u7684\u5185\u5bb9\u53ef\u4ee5\u8fdb\u4e00\u6b65\u5bf9\u7167 CMU 10-708 PGM \u8bfe\u7a0b\u6750\u6599 \u5230\u76ee\u524d\u4e3a\u6b62\uff0c\u5e94\u8be5\u80fd\u591f\u638c\u63e1 \u6982\u7387\u6a21\u578b\u7684\u57fa\u7840\u5b9a\u4e49 \u7cbe\u51c6\u63a8\u65ad - Sum-Product \u8fd1\u4f3c\u63a8\u65ad - MCMC \u8fd1\u4f3c\u63a8\u65ad - VI \u7136\u540e\u5c31\u53ef\u4ee5\u53bb\u505a\u66f4\u8fdb\u9636\u7684\u5185\u5bb9","title":"\u8fdb\u9636\u8def\u7ebf\u56fe"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/roadmap/#_1","text":"\u6b64\u8def\u7ebf\u56fe\u9002\u7528\u4e8e\u5df2\u7ecf\u5b66\u8fc7\u4e86\u57fa\u7840\u673a\u5668\u5b66\u4e60 (ML, NLP, CV, RL) \u7684\u540c\u5b66 (\u9ad8\u5e74\u7ea7\u672c\u79d1\u751f\u6216\u4f4e\u5e74\u7ea7\u7814\u7a76\u751f)\uff0c\u5df2\u7ecf\u53d1\u8868\u8fc7\u81f3\u5c11\u4e00\u7bc7\u9876\u4f1a\u8bba\u6587 (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, CVPR, ICCV) \u60f3\u8981\u8d70\u673a\u5668\u5b66\u4e60\u79d1\u7814\u8def\u7ebf\u7684\u9009\u624b\u3002 \u6b64\u8def\u7ebf\u7684\u76ee\u6807\u662f\u4e3a\u8bfb\u61c2\u4e0e\u53d1\u8868\u673a\u5668\u5b66\u4e60\u9876\u4f1a\u8bba\u6587\u6253\u4e0b\u7406\u8bba\u57fa\u7840\uff0c\u7279\u522b\u662f Probabilistic Methods \u8fd9\u4e2a track \u4e0b\u7684\u6587\u7ae0 \u673a\u5668\u5b66\u4e60\u8fdb\u9636\u53ef\u80fd\u5b58\u5728\u591a\u79cd\u4e0d\u540c\u7684\u5b66\u4e60\u8def\u7ebf\uff0c\u6b64\u8def\u7ebf\u53ea\u80fd\u4ee3\u8868\u4f5c\u8005 Yao Fu \u6240\u7406\u89e3\u7684\u6700\u4f73\u8def\u5f84\uff0c\u4fa7\u91cd\u4e8e\u8d1d\u53f6\u65af\u5b66\u6d3e\u4e0b\u7684\u6982\u7387\u5efa\u6a21\u65b9\u6cd5\uff0c\u4e5f\u4f1a\u6d89\u53ca\u5230\u5404\u9879\u76f8\u5173\u5b66\u79d1\u7684\u4ea4\u53c9\u77e5\u8bc6\u3002","title":"\u673a\u5668\u5b66\u4e60\u8fdb\u9636"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/roadmap/#_2","text":"PRML: Pattern Recognition and Machine Learning. Christopher Bishop \u7ecf\u5178\u8d1d\u53f6\u65af\u5b66\u6d3e\u6559\u6750 AoS: All of Statistics. Larry Wasserman \u7ecf\u5178\u9891\u7387\u5b66\u6d3e\u6559\u6750 \u6240\u4ee5\u8fd9\u4e24\u672c\u4e66\u521a\u597d\u76f8\u8f85\u76f8\u6210","title":"\u5fc5\u8bfb\u6559\u6750"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/roadmap/#_3","text":"MLAPP: Machine Learning: A Probabilistic Perspective. Kevin Murphy Convex Optimization. Stephen Boyd and Lieven Vandenberghe","title":"\u5b57\u5178"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/roadmap/#_4","text":"W&J: Graphical Models, Exponential Families, and Variational Inference. Martin Wainwright and Michael Jordan Theory of Point Estimation. E. L. Lehmann and George Casella","title":"\u8fdb\u9636\u4e66\u7c4d"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/roadmap/#_5","text":"","title":"\u5982\u4f55\u9605\u8bfb"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/roadmap/#guidelines","text":"\u5fc5\u8bfb\u6559\u6750\u5c31\u662f\u4e00\u5b9a\u8981\u8bfb\u7684\u6559\u6750 \u5b57\u5178\u7684\u610f\u601d\u662f\uff0c\u4e00\u822c\u60c5\u51b5\u4e0b\u4e0d\u7ba1\u5b83\uff0c\u4f46\u5f53\u9047\u5230\u4e86\u4e0d\u61c2\u7684\u6982\u5ff5\u7684\u65f6\u5019\uff0c\u5c31\u53bb\u5b57\u5178\u91cc\u9762\u67e5\uff08\u800c\u4e0d\u662f\u7ef4\u57fa\u767e\u79d1\uff09 \u8fdb\u9636\u4e66\u7c4d\u5148\u4e0d\u8bfb\uff0c\u5148\u8bfb\u5b8c\u5fc5\u8bfb\u4e66\u7c4d\u3002\u5fc5\u8bfb\u4e66\u7c4d\u4e00\u822c\u90fd\u662f\u8981\u524d\u524d\u540e\u540e\u53cd\u590d\u770b\u8fc7 N \u904d\u624d\u7b97\u8bfb\u5b8c \u8bfb\u7684\u8fc7\u7a0b\u4e2d\uff0c\u6700\u91cd\u8981\u7684\u8bfb\u6cd5\u5c31\u662f\u5bf9\u6bd4\u9605\u8bfb (contrastive-comparative reading)\uff1a\u540c\u65f6\u6253\u5f00\u4e24\u672c\u4e66\u8bb2\u540c\u4e00\u4e3b\u9898\u7684\u7ae0\u8282\uff0c\u7136\u540e\u5bf9\u6bd4\u76f8\u540c\u70b9\u548c\u4e0d\u540c\u70b9\u548c\u8054\u7cfb \u8bfb\u7684\u8fc7\u7a0b\u4e2d\uff0c\u5c3d\u91cf\u53bb\u56de\u60f3\u4e4b\u524d\u8bfb\u8fc7\u7684\u8bba\u6587\uff0c\u6bd4\u8f83\u8bba\u6587\u548c\u6559\u6750\u7684\u76f8\u540c\u70b9\u4e0e\u4e0d\u540c\u70b9","title":"Guidelines"},{"location":"%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%BF%9B%E9%98%B6/roadmap/#_6","text":"\u5148\u8bfb AoS \u7b2c\u516d\u7ae0: Models, Statistical Inference and Learning\uff0c\u8fd9\u4e00\u90e8\u5206\u662f\u6700\u57fa\u7840\u7684\u79d1\u666e \u7136\u540e\u8bfb PRML \u7b2c 10, 11 \u7ae0 \u7b2c 10 \u7ae0\u7684\u5185\u5bb9\u662f Variational Inference, \u7b2c 11 \u7ae0\u7684\u5185\u5bb9\u662f MCMC, \u8fd9\u4e24\u79cd\u65b9\u6cd5\u662f\u8d1d\u53f6\u65af\u63a8\u65ad\u7684\u4e24\u6761\u6700\u4e3b\u8981\u8def\u7ebf \u5982\u679c\u5728\u8bfb PRML \u7684\u8fc7\u7a0b\u4e2d\u53d1\u73b0\u6709\u4efb\u4f55\u4e0d\u61c2\u7684\u540d\u8bcd\uff0c\u5c31\u53bb\u7ffb\u524d\u9762\u7684\u7ae0\u8282\u3002\u5f88\u5927\u6982\u7387\u80fd\u591f\u5728\u7b2c 3\uff0c4 \u7ae0\u627e\u5230\u76f8\u5bf9\u5e94\u7684\u5b9a\u4e49\uff1b\u5982\u679c\u627e\u4e0d\u5230\u6216\u8005\u4e0d\u591f\u8be6\u7ec6\uff0c\u5c31\u53bb\u67e5 MLAPP AoS \u7b2c 8 \u7ae0 (Parametric Inference) \u548c\u7b2c 11 \u7ae0 (Bayesian Inference) \u4e5f\u53ef\u4ee5\u4f5c\u4e3a\u53c2\u8003\u3002\u6700\u597d\u7684\u65b9\u6cd5\u662f\u591a\u672c\u4e66\u5bf9\u6bd4\u9605\u8bfb\uff0c\u6d41\u7a0b\u5982\u4e0b \u5047\u8bbe\u6211\u5728\u8bfb PRML \u7b2c 10 \u7ae0\u7684\u65f6\u5019\u53d1\u73b0\u4e86\u4e00\u4e2a\u4e0d\u61c2\u7684\u8bcd\uff1aposterior inference \u4e8e\u662f\u6211\u5f80\u524d\u7ffb\uff0c\u7ffb\u5230\u4e86\u7b2c 3 \u7ae0 (Linear Model for Regression)\uff0c\u770b\u5230\u4e86\u6700\u7b80\u5355\u7684 posterior \u7136\u540e\u6211\u63a5\u7740\u7ffb AoS\uff0c\u7ffb\u5230\u4e86\u7b2c 11 \u7ae0\uff0c\u4e5f\u6709\u5bf9 posterior \u7684\u63cf\u8ff0 \u7136\u540e\u6211\u5bf9\u6bd4 PRML \u7b2c 10 \u7ae0\uff0c\u7b2c 3 \u7ae0\uff0cAoS \u7b2c 11 \u7ae0\uff0c\u4e09\u5904\u4e0d\u540c\u5730\u65b9\u5bf9 posterior \u7684\u89e3\u8bfb\uff0c\u6bd4\u8f83\u5176\u76f8\u540c\u70b9\u548c\u4e0d\u540c\u70b9\u548c\u8054\u7cfb \u8bfb\u5b8c PRML \u7b2c 10 \u548c 11 \u7ae0\u4e4b\u540e\uff0c\u63a5\u7740\u8bfb AoS \u7b2c 24 \u7ae0 (Simulation Methods)\uff0c\u7136\u540e\u628a\u5b83\u548c PRML \u7b2c 11 \u7ae0\u5bf9\u6bd4\u9605\u8bfb -- \u8fd9\u4fe9\u90fd\u662f\u8bb2 MCMC \u5982\u679c\u5230\u6b64\u5904\u53d1\u73b0\u8fd8\u6709\u57fa\u7840\u6982\u5ff5\u8bfb\u4e0d\u61c2\uff0c\u5c31\u56de\u5230 PRML \u7b2c 3 \u7ae0\uff0c\u628a\u5b83\u548c AoS \u7b2c 11 \u7ae0\u5bf9\u6bd4\u9605\u8bfb Again\uff0c\u5bf9\u6bd4\u9605\u8bfb\u975e\u5e38\u91cd\u8981\uff0c\u4e00\u5b9a\u8981\u628a\u4e0d\u540c\u672c\u4e66\u7684\u7c7b\u4f3c\u5185\u5bb9\u540c\u65f6\u6446\u5728\u9762\u524d\u76f8\u4e92\u5bf9\u6bd4\uff0c\u8fd9\u6837\u53ef\u4ee5\u663e\u8457\u589e\u5f3a\u8bb0\u5fc6 \u7136\u540e\u8bfb PRML \u7b2c 13 \u7ae0\uff08\u8df3\u8fc7\u7b2c 12 \u7ae0\uff09\uff0c\u8fd9\u4e00\u7ae0\u53ef\u4ee5\u548c MLAPP \u7684\u7b2c 17, 18 \u7ae0\u5bf9\u6bd4\u9605\u8bfb MLAPP \u7b2c 17 \u7ae0\u662f PRML \u7b2c 13.2 \u7ae0\u7684\u8be6\u7ec6\u7248\uff0c\u4e3b\u8981\u8bb2 HMM MLAPP \u7b2c 18 \u7ae0\u662f PRML \u7b2c 13.3 \u7ae0\u7684\u8be6\u7ec6\u7248\uff0c\u4e3b\u8981\u8bb2 LDS \u8bfb\u5b8c PRML \u7b2c 13 \u7ae0\u4e4b\u540e\uff0c\u518d\u53bb\u8bfb PRML \u7b2c 8 \u7ae0 (Graphical Models) -- \u6b64\u65f6\u8fd9\u90e8\u5206\u5e94\u8be5\u4f1a\u8bfb\u5f97\u5f88\u8f7b\u677e \u4ee5\u4e0a\u7684\u5185\u5bb9\u53ef\u4ee5\u8fdb\u4e00\u6b65\u5bf9\u7167 CMU 10-708 PGM \u8bfe\u7a0b\u6750\u6599 \u5230\u76ee\u524d\u4e3a\u6b62\uff0c\u5e94\u8be5\u80fd\u591f\u638c\u63e1 \u6982\u7387\u6a21\u578b\u7684\u57fa\u7840\u5b9a\u4e49 \u7cbe\u51c6\u63a8\u65ad - Sum-Product \u8fd1\u4f3c\u63a8\u65ad - MCMC \u8fd1\u4f3c\u63a8\u65ad - VI \u7136\u540e\u5c31\u53ef\u4ee5\u53bb\u505a\u66f4\u8fdb\u9636\u7684\u5185\u5bb9","title":"\u57fa\u7840\u8def\u5f84"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS224n/","text":"CS224n: Natural Language Processing \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1a\u6df1\u5ea6\u5b66\u4e60\u57fa\u7840 + Python \u7f16\u7a0b\u8bed\u8a00\uff1aPython \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a80 \u5c0f\u65f6 Stanford \u7684 NLP \u5165\u95e8\u8bfe\u7a0b\uff0c\u7531\u81ea\u7136\u8bed\u8a00\u5904\u7406\u9886\u57df\u7684\u5de8\u4f6c Chris Manning \u9886\u8854\u6559\u6388\uff08word2vec \u7b97\u6cd5\u7684\u5f00\u521b\u8005\uff09\u3002\u5185\u5bb9\u8986\u76d6\u4e86\u8bcd\u5411\u91cf\u3001RNN\u3001LSTM\u3001Seq2Seq \u6a21\u578b\u3001\u673a\u5668\u7ffb\u8bd1\u3001\u6ce8\u610f\u529b\u673a\u5236\u3001Transformer \u7b49\u7b49 NLP \u9886\u57df\u7684\u6838\u5fc3\u77e5\u8bc6\u70b9\u3002 5 \u4e2a\u7f16\u7a0b\u4f5c\u4e1a\u96be\u5ea6\u5faa\u5e8f\u6e10\u8fdb\uff0c\u5206\u522b\u662f\u8bcd\u5411\u91cf\u3001word2vec \u7b97\u6cd5\u3001Dependency parsing\u3001\u673a\u5668\u7ffb\u8bd1\u4ee5\u53ca Transformer \u7684 fine-tune\u3002 \u6700\u7ec8\u7684\u5927\u4f5c\u4e1a\u662f\u5728 Stanford \u8457\u540d\u7684 SQuAD \u6570\u636e\u96c6\u4e0a\u8bad\u7ec3 QA \u6a21\u578b\uff0c\u6709\u5b66\u751f\u7684\u5927\u4f5c\u4e1a\u751a\u81f3\u76f4\u63a5\u53d1\u8868\u4e86\u9876\u4f1a\u8bba\u6587\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a http://web.stanford.edu/class/cs224n/index.html \u8bfe\u7a0b\u89c6\u9891\uff1aB \u7ad9\u641c\u7d22 CS224n \u8bfe\u7a0b\u6559\u6750\uff1a\u65e0 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a http://web.stanford.edu/class/cs224n/index.html \uff0c5 \u4e2a\u7f16\u7a0b\u4f5c\u4e1a + 1 \u4e2a Final Project \u8d44\u6e90\u6c47\u603b @PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/CS224n - GitHub \u4e2d\u3002","title":"Stanford CS224n: Natural Language Processing"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS224n/#cs224n-natural-language-processing","text":"","title":"CS224n: Natural Language Processing"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS224n/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1a\u6df1\u5ea6\u5b66\u4e60\u57fa\u7840 + Python \u7f16\u7a0b\u8bed\u8a00\uff1aPython \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a80 \u5c0f\u65f6 Stanford \u7684 NLP \u5165\u95e8\u8bfe\u7a0b\uff0c\u7531\u81ea\u7136\u8bed\u8a00\u5904\u7406\u9886\u57df\u7684\u5de8\u4f6c Chris Manning \u9886\u8854\u6559\u6388\uff08word2vec \u7b97\u6cd5\u7684\u5f00\u521b\u8005\uff09\u3002\u5185\u5bb9\u8986\u76d6\u4e86\u8bcd\u5411\u91cf\u3001RNN\u3001LSTM\u3001Seq2Seq \u6a21\u578b\u3001\u673a\u5668\u7ffb\u8bd1\u3001\u6ce8\u610f\u529b\u673a\u5236\u3001Transformer \u7b49\u7b49 NLP \u9886\u57df\u7684\u6838\u5fc3\u77e5\u8bc6\u70b9\u3002 5 \u4e2a\u7f16\u7a0b\u4f5c\u4e1a\u96be\u5ea6\u5faa\u5e8f\u6e10\u8fdb\uff0c\u5206\u522b\u662f\u8bcd\u5411\u91cf\u3001word2vec \u7b97\u6cd5\u3001Dependency parsing\u3001\u673a\u5668\u7ffb\u8bd1\u4ee5\u53ca Transformer \u7684 fine-tune\u3002 \u6700\u7ec8\u7684\u5927\u4f5c\u4e1a\u662f\u5728 Stanford \u8457\u540d\u7684 SQuAD \u6570\u636e\u96c6\u4e0a\u8bad\u7ec3 QA \u6a21\u578b\uff0c\u6709\u5b66\u751f\u7684\u5927\u4f5c\u4e1a\u751a\u81f3\u76f4\u63a5\u53d1\u8868\u4e86\u9876\u4f1a\u8bba\u6587\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS224n/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a http://web.stanford.edu/class/cs224n/index.html \u8bfe\u7a0b\u89c6\u9891\uff1aB \u7ad9\u641c\u7d22 CS224n \u8bfe\u7a0b\u6559\u6750\uff1a\u65e0 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a http://web.stanford.edu/class/cs224n/index.html \uff0c5 \u4e2a\u7f16\u7a0b\u4f5c\u4e1a + 1 \u4e2a Final Project","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS224n/#_3","text":"@PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/CS224n - GitHub \u4e2d\u3002","title":"\u8d44\u6e90\u6c47\u603b"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS224w/","text":"CS224w: Machine Learning with Graphs 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\u8bfe\u7a0b\u4f5c\u4e1a\uff1a http://web.stanford.edu/class/cs224w/ \uff0c6 \u4e2a\u7f16\u7a0b\u4f5c\u4e1a\uff0c3 \u4e2a LaTeX \u4e66\u9762\u4f5c\u4e1a","title":"Stanford CS224w: Machine Learning with Graphs"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS224w/#cs224w-machine-learning-with-graphs","text":"","title":"CS224w: Machine Learning with Graphs"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS224w/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1a\u6df1\u5ea6\u5b66\u4e60\u57fa\u7840 + Python \u7f16\u7a0b\u8bed\u8a00\uff1aPython, LaTeX \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a80 \u5c0f\u65f6 Stanford \u7684\u56fe\u795e\u7ecf\u7f51\u7edc\u5165\u95e8\u8bfe\uff0c\u8fd9\u95e8\u8bfe\u6211\u6ca1\u6709\u4e0a\u8fc7\uff0c\u4f46\u4f17\u591a\u505a GNN \u7684\u670b\u53cb\u90fd\u5411\u6211\u529b\u8350\u8fc7\u8fd9\u95e8\u8bfe\uff0c\u60f3\u5fc5 Stanford \u7684\u8bfe\u8d28\u91cf\u8fd8\u662f\u4e00\u5982\u65e2\u5f80\u5730\u6709\u4fdd\u8bc1\u7684\u3002\u53e6\u5916\u5c31\u662f\u8fd9\u95e8\u8bfe\u7684\u6388\u8bfe\u8001\u5e08\u975e\u5e38\u5e74\u8f7b\u5e05\u6c14:)","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS224w/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a http://web.stanford.edu/class/cs224w/ \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.youtube.com/watch?v=JAB_plj2rbA \u8bfe\u7a0b\u6559\u6750\uff1a\u65e0 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a http://web.stanford.edu/class/cs224w/ \uff0c6 \u4e2a\u7f16\u7a0b\u4f5c\u4e1a\uff0c3 \u4e2a LaTeX \u4e66\u9762\u4f5c\u4e1a","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS230/","text":"Coursera: Deep Learning \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1a\u673a\u5668\u5b66\u4e60\u57fa\u7840 + Python \u7f16\u7a0b\u8bed\u8a00\uff1aPython 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https://www.coursera.org/specializations/deep-learning \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.coursera.org/specializations/deep-learning \uff0cB\u7ad9\u6709\u642c\u8fd0 \u8bfe\u7a0b\u6559\u6750\uff1a\u65e0 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a https://www.coursera.org/specializations/deep-learning","title":"Coursera: Deep Learning"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS230/#coursera-deep-learning","text":"","title":"Coursera: Deep Learning"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS230/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1a\u673a\u5668\u5b66\u4e60\u57fa\u7840 + Python \u7f16\u7a0b\u8bed\u8a00\uff1aPython \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a80 \u5c0f\u65f6 \u5434\u6069\u8fbe\u5728 Coursera \u5f00\u8bbe\u7684\u53e6\u4e00\u95e8\u7f51\u7ea2\u8bfe\u7a0b\uff0c\u5b66\u4e60\u8005\u65e0\u6570\uff0c\u582a\u79f0\u5723\u7ecf\u7ea7\u7684\u6df1\u5ea6\u5b66\u4e60\u5165\u95e8\u8bfe\u3002\u6df1\u5165\u6d45\u51fa\u7684\u8bb2\u89e3\uff0c\u773c\u82b1\u7f2d\u4e71\u7684 Project\u3002\u4ece\u6700\u57fa\u7840\u7684\u795e\u7ecf\u7f51\u7edc\uff0c\u5230 CNN, RNN\uff0c\u518d\u5230\u6700\u8fd1\u5927\u70ed\u7684 Transformer\u3002\u5b66\u5b8c\u8fd9\u95e8\u8bfe\uff0c\u4f60\u5c06\u521d\u6b65\u638c\u63e1\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u5fc5\u5907\u7684\u77e5\u8bc6\u548c\u6280\u80fd\uff0c\u5e76\u4e14\u53ef\u4ee5\u5728 Kaggle \u4e2d\u53c2\u52a0\u81ea\u5df1\u611f\u5174\u8da3\u7684\u6bd4\u8d5b\uff0c\u5728\u5b9e\u8df5\u4e2d\u953b\u70bc\u81ea\u5df1\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS230/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a https://www.coursera.org/specializations/deep-learning \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.coursera.org/specializations/deep-learning \uff0cB\u7ad9\u6709\u642c\u8fd0 \u8bfe\u7a0b\u6559\u6750\uff1a\u65e0 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a https://www.coursera.org/specializations/deep-learning","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS231/","text":"CS231n: CNN for Visual Recognition \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1a\u673a\u5668\u5b66\u4e60\u57fa\u7840 \u7f16\u7a0b\u8bed\u8a00\uff1aPython \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a80 \u5c0f\u65f6 Stanford \u7684 CV \u5165\u95e8\u8bfe\uff0c\u7531\u8ba1\u7b97\u673a\u9886\u57df\u7684\u5de8\u4f6c\u674e\u98de\u98de\u9662\u58eb\u9886\u8854\u6559\u6388\uff08CV \u9886\u57df\u5212\u65f6\u4ee3\u7684\u8457\u540d\u6570\u636e\u96c6 ImageNet \u7684\u7814\u7a76\u56e2\u961f\uff09\uff0c\u4f46\u5176\u5185\u5bb9\u76f8\u5bf9\u57fa\u7840\u4e14\u53cb\u597d\uff0c\u5982\u679c\u4e0a\u8fc7 CS230 \u7684\u8bdd\u53ef\u4ee5\u76f4\u63a5\u4e0a\u624b Project \u4f5c\u4e3a\u7ec3\u4e60\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a http://cs231n.stanford.edu/ \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.bilibili.com/video/BV1nJ411z7fe \u8bfe\u7a0b\u6559\u6750\uff1a\u65e0 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a http://cs231n.stanford.edu/schedule.html \uff0c3\u4e2a\u7f16\u7a0b\u4f5c\u4e1a","title":"Stanford CS231n: CNN for Visual Recognition"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS231/#cs231n-cnn-for-visual-recognition","text":"","title":"CS231n: CNN for Visual Recognition"},{"location":"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/CS231/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1a\u673a\u5668\u5b66\u4e60\u57fa\u7840 \u7f16\u7a0b\u8bed\u8a00\uff1aPython 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\u90fd\u6709\u8fdc\u7a0b\u5728\u7ebf\u7248\uff0c\u975e\u5e38\u9002\u5408\u5927\u5bb6\u5728\u5bb6\u81ea\u5b66\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E7%94%B5%E5%AD%90%E5%9F%BA%E7%A1%80/EE16/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a EE16A , EE16B \u8bfe\u7a0b\u89c6\u9891\uff1aB \u7ad9\u641c\u7d22 \u8bfe\u7a0b\u6559\u6750\uff1a\u53c2\u89c1\u8bfe\u7a0b notes \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u53c2\u89c1\u8bfe\u7a0b\u4e3b\u9875","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E7%94%B5%E5%AD%90%E5%9F%BA%E7%A1%80/EE16/#_3","text":"@PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/EE16A - GitHub \u4e2d\u3002","title":"\u8d44\u6e90\u6c47\u603b"},{"location":"%E7%94%B5%E5%AD%90%E5%9F%BA%E7%A1%80/Signals_and_Systems_AVO/","text":"MIT 6.007 Signals and Systems \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1aCalculus, Linear 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Oppenheim \u597d\u7684\uff0c\u4e0a\u8fd9\u95e8\u8bfe\u7684\u7406\u7531\u5df2\u7ecf\u8db3\u591f\u4e86\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://ocw.mit.edu/resources/res-6-007-signals-and-systems-spring-2011/index.htm \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.bilibili.com/video/BV1CZ4y1j7hs \u8bfe\u7a0b\u6559\u6750\uff1aSignals and Systems, 2nd Edition \u8bfe\u7a0b\u4f5c\u4e1a\uff1a https://ocw.mit.edu/resources/res-6-007-signals-and-systems-spring-2011/assignments","title":"MIT 6.007 Signals and Systems"},{"location":"%E7%94%B5%E5%AD%90%E5%9F%BA%E7%A1%80/Signals_and_Systems_AVO/#mit-6007-signals-and-systems","text":"","title":"MIT 6.007 Signals and Systems"},{"location":"%E7%94%B5%E5%AD%90%E5%9F%BA%E7%A1%80/Signals_and_Systems_AVO/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1aCalculus, Linear Algebra \u7f16\u7a0b\u8bed\u8a00\uff1aMatlab Preferred \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a50-70 \u5c0f\u65f6 \u770b\u5230\u8bfe\u7a0b\u8001\u5e08\u7684\u540d\u5b57\uff1aProf. Alan V. Oppenheim \u597d\u7684\uff0c\u4e0a\u8fd9\u95e8\u8bfe\u7684\u7406\u7531\u5df2\u7ecf\u8db3\u591f\u4e86\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E7%94%B5%E5%AD%90%E5%9F%BA%E7%A1%80/Signals_and_Systems_AVO/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a https://ocw.mit.edu/resources/res-6-007-signals-and-systems-spring-2011/index.htm \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.bilibili.com/video/BV1CZ4y1j7hs \u8bfe\u7a0b\u6559\u6750\uff1aSignals and Systems, 2nd Edition \u8bfe\u7a0b\u4f5c\u4e1a\uff1a https://ocw.mit.edu/resources/res-6-007-signals-and-systems-spring-2011/assignments","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E7%94%B5%E5%AD%90%E5%9F%BA%E7%A1%80/signal/","text":"UCB EE120: Signal and Systems \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aUC Berkeley \u5148\u4fee\u8981\u6c42\uff1aCS61A, CS70\uff0c\u5fae\u79ef\u5206\uff0c\u7ebf\u6027\u4ee3\u6570 \u7f16\u7a0b\u8bed\u8a00\uff1aPython \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a100 \u5c0f\u65f6 \u8fd9\u95e8\u8bfe\u6700\u7cbe\u534e\u7684\u90e8\u5206\u5c31\u662f 6 \u4e2a\u8d85\u6709\u8da3\u7684\u7f16\u7a0b\u4f5c\u4e1a\u4e86\uff0c\u4f1a\u8ba9\u4f60\u7528 Python \u901a\u8fc7\u5b66\u4e60\u5230\u7684\u4fe1\u53f7\u4e0e\u7cfb\u7edf\u7684\u7406\u8bba\u77e5\u8bc6\uff0c\u89e3\u51b3\u5404\u7c7b\u5b9e\u9645\u95ee\u9898\u3002\u4f8b\u5982 lab3 \u4f1a\u8ba9\u4f60\u5b9e\u73b0 FFT \u7b97\u6cd5\uff0c\u5e76\u548c Numpy \u7684\u5b98\u65b9\u5b9e\u73b0\u8fdb\u884c\u6027\u80fd\u5bf9\u6bd4\uff1blab4 \u4f1a\u901a\u8fc7\u5206\u6790\u624b\u6307\u5934\u7684\u5f71\u50cf\u6570\u636e\u63a8\u65ad\u5fc3\u7387\uff1blab5 \u5c31\u66f4\u725b\u4e86\uff0c\u4f1a\u8ba9\u4f60\u7ed9\u54c8\u52c3\u671b\u8fdc\u955c\u62cd\u5230\u7684\u7167\u7247\u8fdb\u884c\u964d\u566a\u5904\u7406\uff0c\u6062\u590d\u7eda\u70c2\u6e05\u6670\u7684\u661f\u7a7a\uff1blab6 \u4f1a\u8ba9\u4f60\u6784\u9020\u4e00\u4e2a\u53cd\u9988\u7cfb\u7edf\uff0c\u5e73\u8861\u5c0f\u8f66\u4e0a\u7684\u7ec6\u6746\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://inst.eecs.berkeley.edu/~ee120/fa19/ \u8bfe\u7a0b\u6559\u6750\uff1a\u53c2\u89c1\u8bfe\u7a0b notes \u8bfe\u7a0b\u4f5c\u4e1a\uff1a5 \u4e2a\u4e66\u9762\u4f5c\u4e1a + 6 \u4e2a\u7f16\u7a0b\u4f5c\u4e1a \u8d44\u6e90\u6c47\u603b @PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/UCB-EE120 - 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GitHub \u4e2d\u3002","title":"\u8d44\u6e90\u6c47\u603b"},{"location":"%E7%A8%8B%E5%BA%8F%E8%AF%AD%E8%A8%80%E8%AE%BE%E8%AE%A1/CS242/","text":"","title":"CS242"},{"location":"%E7%B3%BB%E7%BB%9F%E5%AE%89%E5%85%A8/CS161/","text":"UCB CS161: Computer Security \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aUC Berkeley \u5148\u4fee\u8981\u6c42\uff1aCS61A, CS61B, CS61C \u7f16\u7a0b\u8bed\u8a00\uff1aC, Go \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a150 \u5c0f\u65f6 \u4f2f\u514b\u5229\u7684\u8ba1\u7b97\u673a\u7cfb\u7edf\u5b89\u5168\u8bfe\u7a0b\uff0c\u8bfe\u7a0b\u5185\u5bb9\u5206\u4e3a5\u4e2a\u90e8\u5206\uff1a Security principles: how to design a secure system Memory safety: buffer overflow attack Cryptography: symmetric encryption, asymmetric encryption, MAC, digital signature ......... Web: SQL-injection, XSS, XSRF ....... Networking: attacks for each layer \u8fd9\u95e8\u8bfe\u8ba9\u6211\u5370\u8c61\u6700\u4e3a\u6df1\u523b\u7684\u90e8\u5206\u662f Project2\uff0c\u8ba9\u4f60\u7528 Go \u8bed\u8a00\u8bbe\u8ba1\u548c\u5b9e\u73b0\u4e00\u4e2a\u5b89\u5168\u7684\u6587\u4ef6\u5206\u4eab\u7cfb\u7edf\u3002\u6211\u82b1\u4e86\u6574\u6574\u4e09\u5929\u624d\u5b8c\u6210\u4e86\u8fd9\u4e2a\u975e\u5e38\u8650\u7684 Project\uff0c\u603b\u4ee3\u7801\u91cf\u8d85\u8fc7 3k \u884c\u3002\u5728\u8fd9\u6837\u5bc6\u96c6\u578b\u7684\u5f00\u53d1\u8fc7\u7a0b\u4e2d\uff0c\u80fd\u6781\u5927\u5730\u953b\u70bc\u4f60\u8bbe\u8ba1\u548c\u5b9e\u73b0\u4e00\u4e2a\u5b89\u5168\u7cfb\u7edf\u7684\u80fd\u529b\u3002 2020 \u5e74\u590f\u5b63\u5b66\u671f\u7684\u7248\u672c\u5f00\u6e90\u4e86\u8bfe\u7a0b\u5f55\u5f71\uff0c\u5927\u5bb6\u53ef\u4ee5\u5728\u4e0b\u9762\u7684\u8bfe\u7a0b\u7f51\u7ad9\u94fe\u63a5\u91cc\u627e\u5230\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://su20.cs161.org/ \u8bfe\u7a0b\u89c6\u9891\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9 \u8bfe\u7a0b\u6559\u6750\uff1a https://textbook.cs161.org/ \u8bfe\u7a0b\u4f5c\u4e1a\uff1a7 \u4e2a\u5728\u7ebf HW + 3 \u4e2a Lab + 3 \u4e2a Project \u8d44\u6e90\u6c47\u603b @PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/UCB-CS161 - GitHub \u4e2d\u3002","title":"UCB CS161: Computer Security"},{"location":"%E7%B3%BB%E7%BB%9F%E5%AE%89%E5%85%A8/CS161/#ucb-cs161-computer-security","text":"","title":"UCB CS161: Computer Security"},{"location":"%E7%B3%BB%E7%BB%9F%E5%AE%89%E5%85%A8/CS161/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aUC Berkeley \u5148\u4fee\u8981\u6c42\uff1aCS61A, CS61B, CS61C \u7f16\u7a0b\u8bed\u8a00\uff1aC, Go \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a150 \u5c0f\u65f6 \u4f2f\u514b\u5229\u7684\u8ba1\u7b97\u673a\u7cfb\u7edf\u5b89\u5168\u8bfe\u7a0b\uff0c\u8bfe\u7a0b\u5185\u5bb9\u5206\u4e3a5\u4e2a\u90e8\u5206\uff1a Security principles: how to design a secure system Memory safety: buffer overflow attack Cryptography: symmetric encryption, asymmetric encryption, MAC, digital signature ......... Web: SQL-injection, XSS, XSRF ....... Networking: attacks for each layer \u8fd9\u95e8\u8bfe\u8ba9\u6211\u5370\u8c61\u6700\u4e3a\u6df1\u523b\u7684\u90e8\u5206\u662f Project2\uff0c\u8ba9\u4f60\u7528 Go \u8bed\u8a00\u8bbe\u8ba1\u548c\u5b9e\u73b0\u4e00\u4e2a\u5b89\u5168\u7684\u6587\u4ef6\u5206\u4eab\u7cfb\u7edf\u3002\u6211\u82b1\u4e86\u6574\u6574\u4e09\u5929\u624d\u5b8c\u6210\u4e86\u8fd9\u4e2a\u975e\u5e38\u8650\u7684 Project\uff0c\u603b\u4ee3\u7801\u91cf\u8d85\u8fc7 3k \u884c\u3002\u5728\u8fd9\u6837\u5bc6\u96c6\u578b\u7684\u5f00\u53d1\u8fc7\u7a0b\u4e2d\uff0c\u80fd\u6781\u5927\u5730\u953b\u70bc\u4f60\u8bbe\u8ba1\u548c\u5b9e\u73b0\u4e00\u4e2a\u5b89\u5168\u7cfb\u7edf\u7684\u80fd\u529b\u3002 2020 \u5e74\u590f\u5b63\u5b66\u671f\u7684\u7248\u672c\u5f00\u6e90\u4e86\u8bfe\u7a0b\u5f55\u5f71\uff0c\u5927\u5bb6\u53ef\u4ee5\u5728\u4e0b\u9762\u7684\u8bfe\u7a0b\u7f51\u7ad9\u94fe\u63a5\u91cc\u627e\u5230\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E7%B3%BB%E7%BB%9F%E5%AE%89%E5%85%A8/CS161/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a https://su20.cs161.org/ \u8bfe\u7a0b\u89c6\u9891\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9 \u8bfe\u7a0b\u6559\u6750\uff1a https://textbook.cs161.org/ \u8bfe\u7a0b\u4f5c\u4e1a\uff1a7 \u4e2a\u5728\u7ebf HW + 3 \u4e2a Lab + 3 \u4e2a Project","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E7%B3%BB%E7%BB%9F%E5%AE%89%E5%85%A8/CS161/#_3","text":"@PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/UCB-CS161 - GitHub \u4e2d\u3002","title":"\u8d44\u6e90\u6c47\u603b"},{"location":"%E7%B3%BB%E7%BB%9F%E5%AE%89%E5%85%A8/MIT6.858/","text":"MIT 6.858: Computer System Security \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1a\u8ba1\u7b97\u673a\u4f53\u7cfb\u7ed3\u6784\uff0c\u5bf9\u8ba1\u7b97\u673a\u7cfb\u7edf\u6709\u521d\u6b65\u4e86\u89e3 \u7f16\u7a0b\u8bed\u8a00\uff1aC, Python \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a150 \u5c0f\u65f6 MIT \u7684\u8ba1\u7b97\u673a\u7cfb\u7edf\u5b89\u5168\u8bfe\u7a0b\uff0c\u5b9e\u9a8c\u73af\u5883\u662f\u4e00\u4e2a Web Application Zoobar\u3002\u5b66\u751f\u5b66\u4e60\u653b\u9632\u6280\u672f\u5e76\u5e94\u7528\u4e8e\u8be5 Web Application\u3002 Lab 1: you will explore the zoobar web application, and use buffer overflow attacks to break its security properties. Lab 2: you will improve the zoobar web application by using privilege separation, so that if one component is compromised, the adversary doesn't get control over the whole web application. Lab 3: you will build a program analysis tool based on symbolic execution to find bugs in Python code such as the zoobar web application. Lab 4: you will improve the zoobar application against browser attacks. \u8fd9\u4e2a\u8bfe\u6211\u4e3b\u8981\u662f\u505a\u4e86 Lab 3\u3002Lab 3 \u662f\u901a\u8fc7\u6df7\u5408\u7b26\u53f7\u6267\u884c\u6765\u904d\u5386\u7a0b\u5e8f\u7684\u6240\u6709\u5206\u652f\uff0c\u7406\u89e3\u4e86\u7b26\u53f7\u6267\u884c\u7684\u601d\u60f3\u540e Lab \u5e76\u4e0d\u96be\u505a\u3002\u8fd9\u4e2a Lab \u76f4\u89c2\u5c55\u793a\u7b26\u53f7\u6267\u884c\u8fd9\u79cd\u6280\u672f\u7684\u4f7f\u7528\u65b9\u6cd5\u3002 \u8fd9\u4e2a\u8bfe\u7684 Final Project \u662f\u5b9e\u73b0 SecFS \uff0c\u4e00\u4e2a\u8fdc\u7aef\u6587\u4ef6\u7cfb\u7edf\uff0c\u9762\u5bf9\u5b8c\u5168\u4e0d\u53ef\u4fe1\u7684\u670d\u52a1\u5668\uff0c\u63d0\u4f9b\u673a\u5bc6\u6027\u548c\u5b8c\u6574\u6027\u3002\u53c2\u8003\u8bba\u6587\u4e3a SUNDR \u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a http://css.csail.mit.edu/6.858/2022/ \u8bfe\u7a0b\u89c6\u9891\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9 \u8bfe\u7a0b\u6559\u6750\uff1a\u65e0 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a4 \u4e2a Lab + Final Project / Lab5","title":"MIT 6.858: Computer System Security"},{"location":"%E7%B3%BB%E7%BB%9F%E5%AE%89%E5%85%A8/MIT6.858/#mit-6858-computer-system-security","text":"","title":"MIT 6.858: Computer System Security"},{"location":"%E7%B3%BB%E7%BB%9F%E5%AE%89%E5%85%A8/MIT6.858/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1a\u8ba1\u7b97\u673a\u4f53\u7cfb\u7ed3\u6784\uff0c\u5bf9\u8ba1\u7b97\u673a\u7cfb\u7edf\u6709\u521d\u6b65\u4e86\u89e3 \u7f16\u7a0b\u8bed\u8a00\uff1aC, Python \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a150 \u5c0f\u65f6 MIT \u7684\u8ba1\u7b97\u673a\u7cfb\u7edf\u5b89\u5168\u8bfe\u7a0b\uff0c\u5b9e\u9a8c\u73af\u5883\u662f\u4e00\u4e2a Web Application Zoobar\u3002\u5b66\u751f\u5b66\u4e60\u653b\u9632\u6280\u672f\u5e76\u5e94\u7528\u4e8e\u8be5 Web Application\u3002 Lab 1: you will explore the zoobar web application, and use buffer overflow attacks to break its security properties. Lab 2: you will improve the zoobar web application by using privilege separation, so that if one component is compromised, the adversary doesn't get control over the whole web application. Lab 3: you will build a program analysis tool based on symbolic execution to find bugs in Python code such as the zoobar web application. Lab 4: you will improve the zoobar application against browser attacks. \u8fd9\u4e2a\u8bfe\u6211\u4e3b\u8981\u662f\u505a\u4e86 Lab 3\u3002Lab 3 \u662f\u901a\u8fc7\u6df7\u5408\u7b26\u53f7\u6267\u884c\u6765\u904d\u5386\u7a0b\u5e8f\u7684\u6240\u6709\u5206\u652f\uff0c\u7406\u89e3\u4e86\u7b26\u53f7\u6267\u884c\u7684\u601d\u60f3\u540e Lab \u5e76\u4e0d\u96be\u505a\u3002\u8fd9\u4e2a Lab \u76f4\u89c2\u5c55\u793a\u7b26\u53f7\u6267\u884c\u8fd9\u79cd\u6280\u672f\u7684\u4f7f\u7528\u65b9\u6cd5\u3002 \u8fd9\u4e2a\u8bfe\u7684 Final Project \u662f\u5b9e\u73b0 SecFS \uff0c\u4e00\u4e2a\u8fdc\u7aef\u6587\u4ef6\u7cfb\u7edf\uff0c\u9762\u5bf9\u5b8c\u5168\u4e0d\u53ef\u4fe1\u7684\u670d\u52a1\u5668\uff0c\u63d0\u4f9b\u673a\u5bc6\u6027\u548c\u5b8c\u6574\u6027\u3002\u53c2\u8003\u8bba\u6587\u4e3a SUNDR \u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E7%B3%BB%E7%BB%9F%E5%AE%89%E5%85%A8/MIT6.858/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a http://css.csail.mit.edu/6.858/2022/ \u8bfe\u7a0b\u89c6\u9891\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9 \u8bfe\u7a0b\u6559\u6750\uff1a\u65e0 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a4 \u4e2a Lab + Final Project / Lab5","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E7%BC%96%E7%A8%8B%E5%85%A5%E9%97%A8/CS106B_CS106X/","text":"Stanford CS106B/X: Programming Abstractions in C++ \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1a\u8ba1\u7b97\u673a\u57fa\u7840 (CS50/CS106A/CS61A or equivalent) \u7f16\u7a0b\u8bed\u8a00\uff1aC++ \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a50-70 \u5c0f\u65f6 Stanford \u7684\u8fdb\u9636\u7f16\u7a0b\u8bfe\uff0cCS106X \u5728\u96be\u5ea6\u548c\u6df1\u5ea6\u4e0a\u4f1a\u6bd4 CS106B \u6709\u6240\u63d0\u9ad8\uff0c\u4f46\u4e3b\u4f53\u5185\u5bb9\u7c7b\u4f3c\u3002\u4e3b\u8981\u901a\u8fc7 C++ \u8bed\u8a00\u8ba9\u5b66\u751f\u5728\u5b9e\u9645\u7684\u7f16\u7a0b\u4f5c\u4e1a\u91cc\u57f9\u517b\u901a\u8fc7\u7f16\u7a0b\u62bd\u8c61\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\u7684\u80fd\u529b\uff0c\u540c\u65f6\u4e5f\u4f1a\u6d89\u53ca\u4e00\u4e9b\u7b80\u5355\u7684\u6570\u636e\u7ed3\u6784\u548c\u7b97\u6cd5\u7684\u77e5\u8bc6\uff0c\u4f46\u603b\u4f53\u6765\u8bf4\u6ca1\u6709\u4e00\u95e8\u4e13\u95e8\u7684\u6570\u636e\u7ed3\u6784\u8bfe\u90a3\u4e48\u7cfb\u7edf\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a CS106B , CS106X \u8bfe\u7a0b\u6559\u6750\uff1a https://web.stanford.edu/class/cs106x/res/reader/CS106BX-Reader.pdf \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.bilibili.com/video/BV1G7411k7jG","title":"Stanford CS106B/X"},{"location":"%E7%BC%96%E7%A8%8B%E5%85%A5%E9%97%A8/CS106B_CS106X/#stanford-cs106bx-programming-abstractions-in-c","text":"","title":"Stanford CS106B/X: Programming Abstractions in C++"},{"location":"%E7%BC%96%E7%A8%8B%E5%85%A5%E9%97%A8/CS106B_CS106X/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1a\u8ba1\u7b97\u673a\u57fa\u7840 (CS50/CS106A/CS61A or equivalent) \u7f16\u7a0b\u8bed\u8a00\uff1aC++ \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a50-70 \u5c0f\u65f6 Stanford \u7684\u8fdb\u9636\u7f16\u7a0b\u8bfe\uff0cCS106X \u5728\u96be\u5ea6\u548c\u6df1\u5ea6\u4e0a\u4f1a\u6bd4 CS106B \u6709\u6240\u63d0\u9ad8\uff0c\u4f46\u4e3b\u4f53\u5185\u5bb9\u7c7b\u4f3c\u3002\u4e3b\u8981\u901a\u8fc7 C++ \u8bed\u8a00\u8ba9\u5b66\u751f\u5728\u5b9e\u9645\u7684\u7f16\u7a0b\u4f5c\u4e1a\u91cc\u57f9\u517b\u901a\u8fc7\u7f16\u7a0b\u62bd\u8c61\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\u7684\u80fd\u529b\uff0c\u540c\u65f6\u4e5f\u4f1a\u6d89\u53ca\u4e00\u4e9b\u7b80\u5355\u7684\u6570\u636e\u7ed3\u6784\u548c\u7b97\u6cd5\u7684\u77e5\u8bc6\uff0c\u4f46\u603b\u4f53\u6765\u8bf4\u6ca1\u6709\u4e00\u95e8\u4e13\u95e8\u7684\u6570\u636e\u7ed3\u6784\u8bfe\u90a3\u4e48\u7cfb\u7edf\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E7%BC%96%E7%A8%8B%E5%85%A5%E9%97%A8/CS106B_CS106X/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a CS106B , CS106X \u8bfe\u7a0b\u6559\u6750\uff1a https://web.stanford.edu/class/cs106x/res/reader/CS106BX-Reader.pdf \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.bilibili.com/video/BV1G7411k7jG","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E7%BC%96%E7%A8%8B%E5%85%A5%E9%97%A8/CS106L/","text":"CS106L: Standard C++ Programming \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1a\u6700\u597d\u638c\u63e1\u81f3\u5c11\u4e00\u95e8\u7f16\u7a0b\u8bed\u8a00 \u7f16\u7a0b\u8bed\u8a00\uff1aC++ \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a20 \u5c0f\u65f6 \u6211\u4ece\u5927\u4e00\u5f00\u59cb\u4e00\u76f4\u90fd\u662f\u5199\u7684 C++ \u4ee3\u7801\uff0c\u76f4\u5230\u5b66\u5b8c\u8fd9\u95e8\u8bfe\u6211\u624d\u610f\u8bc6\u5230\uff0c\u6211\u5199\u7684 C++ \u4ee3\u7801\u5927\u6982\u53ea\u662f C \u8bed\u8a00 + cin / cout \u800c\u5df2\u3002 \u8fd9\u95e8\u8bfe\u4f1a\u6df1\u5165\u5230\u5f88\u591a\u6807\u51c6 C++ \u7684\u7279\u6027\u548c\u8bed\u6cd5\uff0c\u8ba9\u4f60\u7f16\u5199\u51fa\u9ad8\u8d28\u91cf\u7684 C++ \u4ee3\u7801\u3002\u4f8b\u5982 auto binding, uniform initialization, lambda function, move semantics\uff0cRAII \u7b49\u6280\u5de7\u90fd\u5728\u6211\u6b64\u540e\u7684\u4ee3\u7801\u751f\u6daf\u4e2d\u88ab\u53cd\u590d\u7528\u5230\uff0c\u975e\u5e38\u5b9e\u7528\u3002 \u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0c\u8fd9\u95e8\u8bfe\u7684\u4f5c\u4e1a\u91cc\u4f60\u4f1a\u5b9e\u73b0\u4e00\u4e2a HashMap\uff08\u7c7b\u4f3c\u4e8e STL \u4e2d\u7684 unordered_map ), \u8fd9\u4e2a\u4f5c\u4e1a\u51e0\u4e4e\u628a\u6574\u4e2a\u8bfe\u7a0b\u4e32\u8054\u4e86\u8d77\u6765\uff0c\u975e\u5e38\u8003\u9a8c\u4ee3\u7801\u80fd\u529b\u3002\u7279\u522b\u662f iterator \u7684\u5b9e\u73b0\uff0c\u505a\u5b8c\u8fd9\u4e2a\u4f5c\u4e1a\u6211\u5f00\u59cb\u7406\u89e3\u4e3a\u4ec0\u4e48 Linus \u5bf9 C/C++ \u55e4\u4e4b\u4ee5\u9f3b\u4e86\uff0c\u56e0\u4e3a\u771f\u7684\u5f88\u96be\u5199\u5bf9\u3002 \u603b\u7684\u6765\u8bb2\u8fd9\u95e8\u8bfe\u5e76\u4e0d\u96be\uff0c\u4f46\u662f\u4fe1\u606f\u91cf\u5f88\u5927\uff0c\u9700\u8981\u4f60\u5728\u4e4b\u540e\u7684\u5f00\u53d1\u5b9e\u8df5\u4e2d\u53cd\u590d\u5de9\u56fa\u3002Stanford \u4e4b\u6240\u4ee5\u5355\u5f00\u4e00\u95e8 C++ \u7684\u7f16\u7a0b\u8bfe\uff0c\u662f\u56e0\u4e3a\u5b83\u540e\u7eed\u7684\u5f88\u591a CS \u8bfe\u7a0b Project \u90fd\u662f\u57fa\u4e8e C++\u7684\u3002\u4f8b\u5982 CS144 \u8ba1\u7b97\u673a\u7f51\u7edc\u548c CS143 \u7f16\u8bd1\u5668\u3002\u8fd9\u4e24\u95e8\u8bfe\u5728\u672c\u4e66\u4e2d\u5747\u6709\u6536\u5f55\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a http://web.stanford.edu/class/cs106l/ \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.youtube.com/channel/UCSqr6y-eaQT_qZJVUm_4QxQ/playlists \u8bfe\u7a0b\u6559\u6750\uff1a http://web.stanford.edu/class/cs106l/full_course_reader.pdf Assignment1\u4e0b\u8f7d\u7f51\u5740\uff1a https://github.com/snme/cs106L-assignment1 Assignment2\u4e0b\u8f7d\u7f51\u5740\uff1a https://github.com/snme/cs106L-assignment2 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u5177\u4f53\u5185\u5bb9\u89c1\u8bfe\u7a0b\u7f51\u7ad9\uff0c\u6211\u505a\u7684\u65f6\u5019\u4e00\u5171\u662f\u4e24\u4e2a\uff1a \u5b9e\u73b0\u4e00\u4e2a WikiRacer \u7684\u5c0f\u6e38\u620f \u5b9e\u73b0\u4e00\u4e2a\u7c7b\u4f3c STL \u5e93\u7684 HashMap \u8d44\u6e90\u6c47\u603b @PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/CS106L - GitHub \u4e2d\u3002","title":"Stanford CS106L: Standard C++ Programming"},{"location":"%E7%BC%96%E7%A8%8B%E5%85%A5%E9%97%A8/CS106L/#cs106l-standard-c-programming","text":"","title":"CS106L: Standard C++ Programming"},{"location":"%E7%BC%96%E7%A8%8B%E5%85%A5%E9%97%A8/CS106L/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1a\u6700\u597d\u638c\u63e1\u81f3\u5c11\u4e00\u95e8\u7f16\u7a0b\u8bed\u8a00 \u7f16\u7a0b\u8bed\u8a00\uff1aC++ \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a20 \u5c0f\u65f6 \u6211\u4ece\u5927\u4e00\u5f00\u59cb\u4e00\u76f4\u90fd\u662f\u5199\u7684 C++ \u4ee3\u7801\uff0c\u76f4\u5230\u5b66\u5b8c\u8fd9\u95e8\u8bfe\u6211\u624d\u610f\u8bc6\u5230\uff0c\u6211\u5199\u7684 C++ \u4ee3\u7801\u5927\u6982\u53ea\u662f C \u8bed\u8a00 + cin / cout \u800c\u5df2\u3002 \u8fd9\u95e8\u8bfe\u4f1a\u6df1\u5165\u5230\u5f88\u591a\u6807\u51c6 C++ \u7684\u7279\u6027\u548c\u8bed\u6cd5\uff0c\u8ba9\u4f60\u7f16\u5199\u51fa\u9ad8\u8d28\u91cf\u7684 C++ \u4ee3\u7801\u3002\u4f8b\u5982 auto binding, uniform initialization, lambda function, move semantics\uff0cRAII \u7b49\u6280\u5de7\u90fd\u5728\u6211\u6b64\u540e\u7684\u4ee3\u7801\u751f\u6daf\u4e2d\u88ab\u53cd\u590d\u7528\u5230\uff0c\u975e\u5e38\u5b9e\u7528\u3002 \u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0c\u8fd9\u95e8\u8bfe\u7684\u4f5c\u4e1a\u91cc\u4f60\u4f1a\u5b9e\u73b0\u4e00\u4e2a HashMap\uff08\u7c7b\u4f3c\u4e8e STL \u4e2d\u7684 unordered_map ), \u8fd9\u4e2a\u4f5c\u4e1a\u51e0\u4e4e\u628a\u6574\u4e2a\u8bfe\u7a0b\u4e32\u8054\u4e86\u8d77\u6765\uff0c\u975e\u5e38\u8003\u9a8c\u4ee3\u7801\u80fd\u529b\u3002\u7279\u522b\u662f iterator \u7684\u5b9e\u73b0\uff0c\u505a\u5b8c\u8fd9\u4e2a\u4f5c\u4e1a\u6211\u5f00\u59cb\u7406\u89e3\u4e3a\u4ec0\u4e48 Linus \u5bf9 C/C++ \u55e4\u4e4b\u4ee5\u9f3b\u4e86\uff0c\u56e0\u4e3a\u771f\u7684\u5f88\u96be\u5199\u5bf9\u3002 \u603b\u7684\u6765\u8bb2\u8fd9\u95e8\u8bfe\u5e76\u4e0d\u96be\uff0c\u4f46\u662f\u4fe1\u606f\u91cf\u5f88\u5927\uff0c\u9700\u8981\u4f60\u5728\u4e4b\u540e\u7684\u5f00\u53d1\u5b9e\u8df5\u4e2d\u53cd\u590d\u5de9\u56fa\u3002Stanford \u4e4b\u6240\u4ee5\u5355\u5f00\u4e00\u95e8 C++ \u7684\u7f16\u7a0b\u8bfe\uff0c\u662f\u56e0\u4e3a\u5b83\u540e\u7eed\u7684\u5f88\u591a CS \u8bfe\u7a0b Project \u90fd\u662f\u57fa\u4e8e C++\u7684\u3002\u4f8b\u5982 CS144 \u8ba1\u7b97\u673a\u7f51\u7edc\u548c CS143 \u7f16\u8bd1\u5668\u3002\u8fd9\u4e24\u95e8\u8bfe\u5728\u672c\u4e66\u4e2d\u5747\u6709\u6536\u5f55\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E7%BC%96%E7%A8%8B%E5%85%A5%E9%97%A8/CS106L/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a http://web.stanford.edu/class/cs106l/ \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.youtube.com/channel/UCSqr6y-eaQT_qZJVUm_4QxQ/playlists \u8bfe\u7a0b\u6559\u6750\uff1a http://web.stanford.edu/class/cs106l/full_course_reader.pdf Assignment1\u4e0b\u8f7d\u7f51\u5740\uff1a https://github.com/snme/cs106L-assignment1 Assignment2\u4e0b\u8f7d\u7f51\u5740\uff1a https://github.com/snme/cs106L-assignment2 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u5177\u4f53\u5185\u5bb9\u89c1\u8bfe\u7a0b\u7f51\u7ad9\uff0c\u6211\u505a\u7684\u65f6\u5019\u4e00\u5171\u662f\u4e24\u4e2a\uff1a \u5b9e\u73b0\u4e00\u4e2a WikiRacer \u7684\u5c0f\u6e38\u620f \u5b9e\u73b0\u4e00\u4e2a\u7c7b\u4f3c STL \u5e93\u7684 HashMap","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E7%BC%96%E7%A8%8B%E5%85%A5%E9%97%A8/CS106L/#_3","text":"@PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/CS106L - GitHub \u4e2d\u3002","title":"\u8d44\u6e90\u6c47\u603b"},{"location":"%E7%BC%96%E7%A8%8B%E5%85%A5%E9%97%A8/CS110L/","text":"CS110L: Safety in Systems Programming \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aStanford \u5148\u4fee\u8981\u6c42\uff1a\u6700\u597d\u6709\u4e00\u5b9a\u7684\u7f16\u7a0b\u80cc\u666f\u5e76\u5bf9\u8ba1\u7b97\u673a\u7cfb\u7edf\u6709\u521d\u6b65\u7684\u8ba4\u8bc6\u3002 \u7f16\u7a0b\u8bed\u8a00\uff1aRust \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a30 \u5c0f\u65f6 \u5728\u8fd9\u95e8\u8bfe\u4e2d\u4f60\u5c06\u4f1a\u5b66\u4e60 Rust \u8fd9\u95e8\u795e\u5947\u7684\u8bed\u8a00\u3002 \u5982\u679c\u4f60\u5b66\u8fc7 C \u5e76\u63a5\u89e6\u8fc7\u4e00\u4e9b\u7cfb\u7edf\u7f16\u7a0b\u7684\u8bdd\uff0c\u5e94\u8be5\u5bf9 C \u7684\u5185\u5b58\u6cc4\u6f0f\u4ee5\u53ca\u6307\u9488\u7684\u5371\u9669\u6709\u6240\u8033\u95fb\uff0c\u4f46 C \u7684\u5e95\u5c42\u7279\u6027\u4ee5\u53ca\u9ad8\u6548\u4ecd\u7136\u8ba9\u5b83\u5728\u7cfb\u7edf\u7ea7\u7f16\u7a0b\u4e2d\u65e0\u6cd5\u88ab\u4f8b\u5982 Java \u7b49\u81ea\u5e26\u5783\u573e\u6536\u96c6\u673a\u5236\u7684\u9ad8\u7ea7\u8bed\u8a00\u6240\u66ff\u4ee3\u3002\u800c Rust \u7684\u76ee\u6807\u5219\u662f\u5e0c\u671b\u5728 C \u7684\u9ad8\u6548\u57fa\u7840\u4e0a\uff0c\u5f25\u8865\u5176\u5b89\u5168\u4e0d\u8db3\u7684\u7f3a\u70b9\u3002\u56e0\u6b64 Rust \u5728\u8bbe\u8ba1\u4e4b\u521d\uff0c\u5c31\u6709\u5e26\u6709\u5f88\u591a\u7cfb\u7edf\u7f16\u7a0b\u7684\u89c2\u70b9\u3002\u5b66\u4e60 Rust\uff0c\u4e5f\u80fd\u8ba9\u4f60\u4e4b\u540e\u80fd\u7528 C \u8bed\u8a00\u7f16\u5199\u51fa\u66f4\u5b89\u5168\u66f4\u4f18\u96c5\u7684\u7cfb\u7edf\u7ea7\u4ee3\u7801\uff08\u4f8b\u5982\u64cd\u4f5c\u7cfb\u7edf\u7b49\uff09\u3002 \u8fd9\u95e8\u8bfe\u7684\u540e\u534a\u90e8\u5206\u5173\u6ce8\u5728\u5e76\u53d1\uff08concurrency\uff09\u8fd9\u4e00\u4e3b\u9898\u4e0a\uff0c\u4f60\u5c06\u4f1a\u7cfb\u7edf\u5730\u638c\u63e1\u591a\u8fdb\u7a0b\u3001\u591a\u7ebf\u7a0b\u3001\u57fa\u4e8e\u4e8b\u4ef6\u9a71\u52a8\u7684\u5e76\u53d1\u7b49\u82e5\u5e72\u5e76\u53d1\u6280\u672f\uff0c\u5e76\u5728\u7b2c\u4e8c\u4e2a Project \u4e2d\u6bd4\u8f83\u5b83\u4eec\u5404\u81ea\u7684\u4f18\u52a3\u3002Rust \u4e2d \u201cfutures\u201d \u7684\u6982\u5ff5\u975e\u5e38\u6709\u8da3\u548c\u4f18\u96c5\uff0c\u8fd9\u4e9b\u57fa\u7840\u77e5\u8bc6\u5bf9\u4f60\u540e\u7eed\u5bf9\u8ba1\u7b97\u673a\u7cfb\u7edf\u76f8\u5173\u8bfe\u7a0b\u7684\u5b66\u4e60\u5f88\u6709\u5e2e\u52a9\u3002\u53e6\u5916\uff0c\u6e05\u534e\u5927\u5b66\u7684\u64cd\u7edf\u5b9e\u9a8c rCore \u5c31\u662f\u57fa\u4e8e Rust \u7f16\u5199\u7684\uff0c\u5177\u4f53\u53c2\u89c1 \u6587\u6863 \u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a https://reberhardt.com/cs110l/spring-2020/ \u8bfe\u7a0b\u89c6\u9891\uff1a https://youtu.be/j7AQrtLevUE \u8bfe\u7a0b\u6559\u6750\uff1a\u65e0 \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u5171 6 \u4e2a Lab \u548c 2 \u4e2a Project\uff0c\u4f5c\u4e1a\u6587\u6863\u548c\u4ee3\u7801\u6846\u67b6\u8be6\u89c1\u8bfe\u7a0b\u7f51\u7ad9\u3002\u5176\u4e2d\u4e24\u4e2a Project \u975e\u5e38\u6709\u8da3\uff0c\u5206\u522b\u662f\uff1a \u7528 Rust \u5b9e\u73b0\u4e00\u4e2a\u7c7b\u4f3c\u4e8e GDB \u7684 debugger \u7528 Rust 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http://composingprograms.com/ \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u8bfe\u7a0b\u7f51\u7ad9\u4f1a\u6709\u6bcf\u4e2a\u4f5c\u4e1a\u5bf9\u5e94\u7684\u6587\u6863\u94fe\u63a5\u4ee5\u53ca\u4ee3\u7801\u6846\u67b6\u7684\u4e0b\u8f7d\u94fe\u63a5\u3002 \u8d44\u6e90\u6c47\u603b @PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPic/CS61A - GitHub \u4e2d\u3002","title":"UCB CS61A: Structure and Interpretation of Computer Programs"},{"location":"%E7%BC%96%E7%A8%8B%E5%85%A5%E9%97%A8/CS61A/#cs61a-structure-and-interpretation-of-computer-programs","text":"","title":"CS61A: Structure and Interpretation of Computer Programs"},{"location":"%E7%BC%96%E7%A8%8B%E5%85%A5%E9%97%A8/CS61A/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aUC Berkeley \u5148\u4fee\u8981\u6c42\uff1a\u65e0 \u7f16\u7a0b\u8bed\u8a00\uff1aPython, Scheme, SQL \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f 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\u4f1a\u6709\u4e9b\u61f5\u5708\uff09\u3002 \u8bfe\u7a0b\u5185\u5bb9\u5305\u62ec \u5927\u90e8\u5206 \u81ea\u9876\u5411\u4e0b\u65b9\u6cd5\u91cc\u7684\u5185\u5bb9\uff0c\u540c\u65f6 \u6db5\u76d6 \u8003\u8bd5\u5185\u5bb9\uff0c\u53ef\u653e\u5fc3\u89c2\u770b\u3002 \u8bfe\u7a0b\u89c6\u9891\u662f\u90d1\u70c7\u8001\u5e08\u672c\u4eba\u5728\u54d4\u54e9\u54d4\u54e9\u4e0a\u4e0a\u4f20\u7684\uff0c\u4e14\u4ece2020\u5e74\u81f3\u4eca\u4e00\u76f4\u575a\u6301\u5728\u8bc4\u8bba\u533a\u7b54\u7591\uff0c\u5c5e\u5b9e\u8d1f\u8d23\u4e14\u8ba4\u771f\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E8%AE%A1%E7%AE%97%E6%9C%BA%E7%BD%91%E7%BB%9C/topdown_ustc/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a http://staff.ustc.edu.cn/~qzheng/teaching.html \u8bfe\u7a0b\u89c6\u9891\uff1a https://www.bilibili.com/video/BV1JV411t7ow/ \u8bfe\u7a0b\u8bfe\u4ef6\uff1a http://staff.ustc.edu.cn/~qzheng/cn.zip \u8bfe\u7a0b\u6559\u6750\uff1a\u8ba1\u7b97\u673a\u7f51\u7edc\uff08\u81ea\u9876\u5411\u4e0b\u65b9\u6cd5 \u7b2c7\u7248\uff09\uff0c\u673a\u68b0\u5de5\u4e1a\u51fa\u7248\u793e\uff0c2016","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E8%BD%AF%E4%BB%B6%E5%B7%A5%E7%A8%8B/6031/","text":"MIT 6.031: Software Construction \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1a\u638c\u63e1\u81f3\u5c11\u4e00\u95e8\u7f16\u7a0b\u8bed\u8a00 \u7f16\u7a0b\u8bed\u8a00\uff1aJava \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a100 \u5c0f\u65f6 \u8fd9\u95e8\u8bfe\u7684\u76ee\u6807\u5c31\u662f\u8ba9\u5b66\u751f\u5b66\u4f1a\u5982\u4f55\u5199\u51fa\u9ad8\u8d28\u91cf\u7684\u4ee3\u7801\uff0c\u6240\u8c13\u9ad8\u8d28\u91cf\uff0c\u5219\u662f\u6ee1\u8db3\u4e0b\u9762\u4e09\u4e2a\u76ee\u6807\uff08\u8bfe\u7a0b\u8bbe\u8ba1\u8005\u539f\u8bdd\u590d\u5236\uff0c\u4ee5\u9632\u81ea\u5df1\u7ffb\u8bd1\u66f2\u89e3\u672c\u610f\uff09\uff1a Safe from bugs. Correctness (correct behavior right now) and defensiveness (correct behavior in the future) are required in any software we build. Easy to understand. The code has to communicate to future programmers who need to understand it and make changes in it (fixing bugs or adding new features). That future programmer might be you, months or years from now. You\u2019ll be surprised how much you forget if you don\u2019t write it down, and how much it helps your own future self to have a good design. Ready for change. Software always changes. Some designs make it easy to make changes; others require throwing away and rewriting a lot of code. \u4e3a\u6b64\uff0c\u8fd9\u95e8\u8bfe\u7684\u8bbe\u8ba1\u8005\u4eec\u7cbe\u5fc3\u7f16\u5199\u4e86\u4e00\u672c\u4e66\u6765\u9610\u91ca\u8bf8\u591a\u8f6f\u4ef6\u6784\u5efa\u7684\u6838\u5fc3\u539f\u5219\u4e0e\u524d\u4eba\u603b\u7ed3\u4e0b\u6765\u7684\u5b9d\u8d35\u7ecf\u9a8c\uff0c\u5185\u5bb9\u7ec6\u8282\u5230\u5982\u4f55\u7f16\u5199\u6ce8\u91ca\u548c\u51fd\u6570 Specification\uff0c\u5982\u4f55\u8bbe\u8ba1\u62bd\u8c61\u6570\u636e\u7ed3\u6784\u4ee5\u53ca\u8bf8\u591a\u5e76\u884c\u7f16\u7a0b\u7684\u5185\u5bb9\uff0c\u5e76\u4e14\u4f1a\u8ba9\u4f60\u5728\u7cbe\u5fc3\u8bbe\u8ba1\u7684 Java \u7f16\u7a0b\u9879\u76ee\u91cc\u4f53\u9a8c\u548c\u7ec3\u4e60\u8fd9\u4e9b\u7f16\u7a0b\u6a21\u5f0f\u3002 2016\u5e74\u6625\u5b63\u5b66\u671f\u8fd9\u95e8\u8bfe\u5f00\u6e90\u4e86\u5176\u6240\u6709\u7f16\u7a0b\u4f5c\u4e1a\u7684\u4ee3\u7801\u6846\u67b6\uff0c\u800c\u6700\u65b0\u7684\u8bfe\u7a0b\u6559\u6750\u53ef\u4ee5\u5728\u5176\u6700\u65b0\u7684\u6559\u5b66\u7f51\u7ad9\u4e0a\u627e\u5230\uff0c\u5177\u4f53\u94fe\u63a5\u53c2\u89c1\u4e0b\u65b9\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a 2021spring , 2016spring \u8bfe\u7a0b\u89c6\u9891\uff1a\u65e0 \u8bfe\u7a0b\u6559\u6750\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9\u7684\u8bfe\u7a0b notes \u8bfe\u7a0b\u4f5c\u4e1a\uff1a4 \u4e2a\u7f16\u7a0b\u4f5c\u4e1a + 1 \u4e2a Project \u8d44\u6e90\u6c47\u603b @PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/MIT6.031-software-construction - GitHub \u4e2d\u3002 @pengzhangzhi \u5b8c\u6210\u4e86\u8fd9\u95e8\u8bfe\u7684\u4f5c\u4e1a\u5e76\u8bb0\u5f55\u4e86\u7b14\u8bb0, \u4ee3\u7801\u5f00\u6e90\u5728 pengzhangzhi/self-taught-CS/Software Construction - Github \u3002","title":"MIT 6.031: Software Construction"},{"location":"%E8%BD%AF%E4%BB%B6%E5%B7%A5%E7%A8%8B/6031/#mit-6031-software-construction","text":"","title":"MIT 6.031: Software Construction"},{"location":"%E8%BD%AF%E4%BB%B6%E5%B7%A5%E7%A8%8B/6031/#_1","text":"\u6240\u5c5e\u5927\u5b66\uff1aMIT \u5148\u4fee\u8981\u6c42\uff1a\u638c\u63e1\u81f3\u5c11\u4e00\u95e8\u7f16\u7a0b\u8bed\u8a00 \u7f16\u7a0b\u8bed\u8a00\uff1aJava \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a100 \u5c0f\u65f6 \u8fd9\u95e8\u8bfe\u7684\u76ee\u6807\u5c31\u662f\u8ba9\u5b66\u751f\u5b66\u4f1a\u5982\u4f55\u5199\u51fa\u9ad8\u8d28\u91cf\u7684\u4ee3\u7801\uff0c\u6240\u8c13\u9ad8\u8d28\u91cf\uff0c\u5219\u662f\u6ee1\u8db3\u4e0b\u9762\u4e09\u4e2a\u76ee\u6807\uff08\u8bfe\u7a0b\u8bbe\u8ba1\u8005\u539f\u8bdd\u590d\u5236\uff0c\u4ee5\u9632\u81ea\u5df1\u7ffb\u8bd1\u66f2\u89e3\u672c\u610f\uff09\uff1a Safe from bugs. Correctness (correct behavior right now) and defensiveness (correct behavior in the future) are required in any software we build. Easy to understand. The code has to communicate to future programmers who need to understand it and make changes in it (fixing bugs or adding new features). That future programmer might be you, months or years from now. You\u2019ll be surprised how much you forget if you don\u2019t write it down, and how much it helps your own future self to have a good design. Ready for change. Software always changes. Some designs make it easy to make changes; others require throwing away and rewriting a lot of code. \u4e3a\u6b64\uff0c\u8fd9\u95e8\u8bfe\u7684\u8bbe\u8ba1\u8005\u4eec\u7cbe\u5fc3\u7f16\u5199\u4e86\u4e00\u672c\u4e66\u6765\u9610\u91ca\u8bf8\u591a\u8f6f\u4ef6\u6784\u5efa\u7684\u6838\u5fc3\u539f\u5219\u4e0e\u524d\u4eba\u603b\u7ed3\u4e0b\u6765\u7684\u5b9d\u8d35\u7ecf\u9a8c\uff0c\u5185\u5bb9\u7ec6\u8282\u5230\u5982\u4f55\u7f16\u5199\u6ce8\u91ca\u548c\u51fd\u6570 Specification\uff0c\u5982\u4f55\u8bbe\u8ba1\u62bd\u8c61\u6570\u636e\u7ed3\u6784\u4ee5\u53ca\u8bf8\u591a\u5e76\u884c\u7f16\u7a0b\u7684\u5185\u5bb9\uff0c\u5e76\u4e14\u4f1a\u8ba9\u4f60\u5728\u7cbe\u5fc3\u8bbe\u8ba1\u7684 Java \u7f16\u7a0b\u9879\u76ee\u91cc\u4f53\u9a8c\u548c\u7ec3\u4e60\u8fd9\u4e9b\u7f16\u7a0b\u6a21\u5f0f\u3002 2016\u5e74\u6625\u5b63\u5b66\u671f\u8fd9\u95e8\u8bfe\u5f00\u6e90\u4e86\u5176\u6240\u6709\u7f16\u7a0b\u4f5c\u4e1a\u7684\u4ee3\u7801\u6846\u67b6\uff0c\u800c\u6700\u65b0\u7684\u8bfe\u7a0b\u6559\u6750\u53ef\u4ee5\u5728\u5176\u6700\u65b0\u7684\u6559\u5b66\u7f51\u7ad9\u4e0a\u627e\u5230\uff0c\u5177\u4f53\u94fe\u63a5\u53c2\u89c1\u4e0b\u65b9\u3002","title":"\u8bfe\u7a0b\u7b80\u4ecb"},{"location":"%E8%BD%AF%E4%BB%B6%E5%B7%A5%E7%A8%8B/6031/#_2","text":"\u8bfe\u7a0b\u7f51\u7ad9\uff1a 2021spring , 2016spring \u8bfe\u7a0b\u89c6\u9891\uff1a\u65e0 \u8bfe\u7a0b\u6559\u6750\uff1a\u53c2\u89c1\u8bfe\u7a0b\u7f51\u7ad9\u7684\u8bfe\u7a0b notes \u8bfe\u7a0b\u4f5c\u4e1a\uff1a4 \u4e2a\u7f16\u7a0b\u4f5c\u4e1a + 1 \u4e2a Project","title":"\u8bfe\u7a0b\u8d44\u6e90"},{"location":"%E8%BD%AF%E4%BB%B6%E5%B7%A5%E7%A8%8B/6031/#_3","text":"@PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/MIT6.031-software-construction - GitHub \u4e2d\u3002 @pengzhangzhi \u5b8c\u6210\u4e86\u8fd9\u95e8\u8bfe\u7684\u4f5c\u4e1a\u5e76\u8bb0\u5f55\u4e86\u7b14\u8bb0, \u4ee3\u7801\u5f00\u6e90\u5728 pengzhangzhi/self-taught-CS/Software Construction - Github \u3002","title":"\u8d44\u6e90\u6c47\u603b"},{"location":"%E8%BD%AF%E4%BB%B6%E5%B7%A5%E7%A8%8B/CS169/","text":"UCB CS169: software engineering \u8bfe\u7a0b\u7b80\u4ecb \u6240\u5c5e\u5927\u5b66\uff1aUC Berkeley \u5148\u4fee\u8981\u6c42\uff1a\u65e0 \u7f16\u7a0b\u8bed\u8a00\uff1aRuby/JavaScript \u8bfe\u7a0b\u96be\u5ea6\uff1a\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f\ud83c\udf1f \u9884\u8ba1\u5b66\u65f6\uff1a100 \u5c0f\u65f6 \u4f2f\u514b\u5229\u7684\u8f6f\u4ef6\u5de5\u7a0b\u8bfe\u7a0b\uff0c\u4e0d\u540c\u4e8e\u5f88\u591a\u4f20\u7edf\u7684\u8f6f\u4ef6\u5de5\u7a0b\u8bfe\u5f3a\u8c03\u5404\u79cd\u7c7b\u56fe\u3001\u6587\u6863\u8bbe\u8ba1 (plan and document \u6a21\u5f0f)\uff0c\u8fd9\u95e8\u8bfe\u4e13\u6ce8\u4e8e\u6700\u8fd1\u9010\u6e10\u6d41\u884c\u8d77\u6765\u7684\u654f\u6377\u5f00\u53d1 (Agile Development)\u6a21\u5f0f\uff0c\u5229\u7528\u4e91\u5e73\u53f0\u63d0\u4f9b\u8f6f\u4ef6\u5373\u670d\u52a1 (software as a service)\u3002\u4e3a\u6b64\uff0c\u8bfe\u7a0b\u8bbe\u8ba1\u8005\u7f16\u5199\u4e86 Software as a service \u8fd9\u672c\u6559\u6750\uff0c\u901a\u8fc7 Ruby/Rails \u6846\u67b6\u6765\u9610\u91ca SaaS \u8fd9\u4e2a\u6982\u5ff5\uff0c\u5e76\u4e14\u6709\u4e30\u5bcc\u7684\u914d\u5957\u7f16\u7a0b\u7ec3\u4e60\u3002 \u8fd9\u95e8\u8bfe\u5728 Edx \u8fd9\u4e2a\u7531 MIT \u548c Havard \u5927\u5b66\u53d1\u8d77\u7684\u5728\u7ebf\u6559\u80b2\u5e73\u53f0\u5168\u8d44\u6599\u5f00\u6e90\uff0c\u5927\u5bb6\u53ef\u4ee5\u5728 Edx \u81ea\u884c\u641c\u7d22 Agile SaaS Development \u8fd9\u95e8\u8bfe\u7a0b\u8fdb\u884c\u5b66\u4e60\u3002\u8bfe\u7a0b\u5185\u5bb9\u57fa\u672c\u6309\u7167\u6559\u6750\u7684\u987a\u5e8f\u5e26\u4f60\u4e00\u6b65\u6b65\u4ee5\u654f\u6377\u5f00\u53d1\u7684\u65b9\u5f0f\u642d\u5efa\u4e00\u4e2a\u8f6f\u4ef6\u5e76\u514d\u8d39\u90e8\u7f72\u5728\u4e91\u5e73\u53f0\u4e0a\u3002 \u8bfe\u7a0b\u8d44\u6e90 \u8bfe\u7a0b\u7f51\u7ad9\uff1a http://www.saasbook.info/courses \u8bfe\u7a0b\u89c6\u9891\uff1a\u53c2\u89c1 Edx \u8bfe\u7a0b\u4e3b\u9875\u3002 \u8bfe\u7a0b\u6559\u6750\uff1a Software as a service \u8bfe\u7a0b\u4f5c\u4e1a\uff1a\u53c2\u89c1 Edx \u8bfe\u7a0b\u4e3b\u9875\u3002 \u8d44\u6e90\u6c47\u603b @PKUFlyingPig \u5728\u5b66\u4e60\u8fd9\u95e8\u8bfe\u4e2d\u7528\u5230\u7684\u6240\u6709\u8d44\u6e90\u548c\u4f5c\u4e1a\u5b9e\u73b0\u90fd\u6c47\u603b\u5728 PKUFlyingPig/CS169-Software-Engineering - 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GitHub \u4e2d\u3002","title":"\u8d44\u6e90\u6c47\u603b"}]} \ No newline at end of file diff --git a/sitemap.xml b/sitemap.xml index 5bf7d7a9..e73bbbc9 100644 --- a/sitemap.xml +++ b/sitemap.xml @@ -246,12 +246,12 @@ daily - https://csdiy.wiki/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%B3%BB%E7%BB%9F/MLC/ + https://csdiy.wiki/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%B3%BB%E7%BB%9F/CMU10-414/ 2022-09-07 daily - https://csdiy.wiki/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%B3%BB%E7%BB%9F/MLSys/ + https://csdiy.wiki/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%B3%BB%E7%BB%9F/MLC/ 2022-09-07 daily diff --git a/sitemap.xml.gz b/sitemap.xml.gz index 7ed28334099030128b9790a5f3fffe48260ee135..6106eaaf40191db01b6de35ca203246d77d5dc80 100644 GIT binary patch delta 412 zcmV;N0b~B938x7LABzYGb;z*>7z2Mj$1uGkxEqk54PvH~1fY!HA1CZ@5@Oa0F=lp8 z+n{7N=Yb#gTOwu7d`#M)rIy*!R5Q9JCDyAFImYCN4AVP)FQ|ZW??H0+F-&X%5}OU+ zVNX7Na|~KP5o@^9PFRHB$yKK*q420@#j46mWs{4uC)J3pTJSHQ;R#Vzh;x73+JCb6 zXzQldh#@{U8q5i^WwM7V^iw%HH+9H<;5#SeZIo|+3H=0rDpTjo?xGTS*oRuL0dtQ$ zF=hX+O^DetdlPeo#{tJQUf9D|p!gGz+ysNW4O(iMElnk(Yf@spE|FtAe#kDpKSU_0zD1JMDr+_?OcfaE3^B)4-l;eSL;35SP0+HFKPk-J)nI_q9lO)a|# zJQ;d%>`n`%ifYxJiLKD_LG6F43hP-9dloFUYkg>6@}eHa{Q*2`Q(Ns?p5qvzyvfwR zWD8;&#@Ls@xc{^W&i*H diff --git a/人工智能/CS188/index.html b/人工智能/CS188/index.html index 161cc836..6ec348c9 100644 --- a/人工智能/CS188/index.html +++ b/人工智能/CS188/index.html @@ -1,2 +1,2 @@ - UCB CS188: Introduction to Artificial Intelligence - CS自学指南

CS188: Introduction to Artificial Intelligence

课程简介

  • 所属大学:UC Berkeley
  • 先修要求:CS70
  • 编程语言:Python
  • 课程难度:🌟🌟🌟
  • 预计学时:50 小时

伯克利的人工智能入门课,课程 notes 写得非常深入浅出,基本不需要观看课程视频。课程内容的安排基本按照人工智能的经典教材 Artificial intelligence: A Modern Approach 的章节顺序,覆盖了搜索剪枝、约束满足问题、马尔可夫决策过程、强化学习、贝叶斯网络、隐马尔可夫模型以及基础的机器学习和神经网络的相关内容。

2018年秋季学期的版本免费开放了 gradescope,大家可以在线完成书面作业并实时得到测评结果。同时课程的 6 个 Project 也是质量爆炸,复现了经典的 Packman(吃豆人)小游戏,会让你利用学到的 AI 知识,去实现相关算法,让你的吃豆人在迷宫里自由穿梭,躲避鬼怪,收集豆子。

课程资源


最后更新: April 3, 2022

CS188: Introduction to Artificial Intelligence

课程简介

  • 所属大学:UC Berkeley
  • 先修要求:CS70
  • 编程语言:Python
  • 课程难度:🌟🌟🌟
  • 预计学时:50 小时

伯克利的人工智能入门课,课程 notes 写得非常深入浅出,基本不需要观看课程视频。课程内容的安排基本按照人工智能的经典教材 Artificial intelligence: A Modern Approach 的章节顺序,覆盖了搜索剪枝、约束满足问题、马尔可夫决策过程、强化学习、贝叶斯网络、隐马尔可夫模型以及基础的机器学习和神经网络的相关内容。

2018年秋季学期的版本免费开放了 gradescope,大家可以在线完成书面作业并实时得到测评结果。同时课程的 6 个 Project 也是质量爆炸,复现了经典的 Packman(吃豆人)小游戏,会让你利用学到的 AI 知识,去实现相关算法,让你的吃豆人在迷宫里自由穿梭,躲避鬼怪,收集豆子。

课程资源


最后更新: April 3, 2022
Back to top
\ No newline at end of file diff --git a/人工智能/CS50/index.html b/人工智能/CS50/index.html index 89260f10..92e9486a 100644 --- a/人工智能/CS50/index.html +++ b/人工智能/CS50/index.html @@ -1,2 +1,2 @@ - Harvard CS50's Introduction to AI with Python - CS自学指南

CS50’s Introduction to AI with Python

课程简介

  • 所属大学:Harvard
  • 先修要求:基本概率论 + Python基础
  • 编程语言:Python
  • 课程难度:🌟🌟🌟
  • 预计学时:30 小时

一门非常基础的AI入门课,让人眼前一亮的是12个设计精巧的编程作业,都会用学到的AI知识去实现一个简易的游戏AI,比如用强化学习训练一个Nim游戏的AI,用alpha-beta剪枝去扫雷等等,非常适合新手入门或者大佬休闲。

课程资源

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/cs50_ai - GitHub 中。


最后更新: September 6, 2022

CS50’s Introduction to AI with Python

课程简介

  • 所属大学:Harvard
  • 先修要求:基本概率论 + Python基础
  • 编程语言:Python
  • 课程难度:🌟🌟🌟
  • 预计学时:30 小时

一门非常基础的AI入门课,让人眼前一亮的是12个设计精巧的编程作业,都会用学到的AI知识去实现一个简易的游戏AI,比如用强化学习训练一个Nim游戏的AI,用alpha-beta剪枝去扫雷等等,非常适合新手入门或者大佬休闲。

课程资源

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/cs50_ai - GitHub 中。


最后更新: September 6, 2022
Back to top
\ No newline at end of file diff --git a/人工智能/CYJ/index.html b/人工智能/CYJ/index.html index aaae2107..4d8d6fd4 100644 --- a/人工智能/CYJ/index.html +++ b/人工智能/CYJ/index.html @@ -1,2 +1,2 @@ - 智能计算系统 - CS自学指南

智能计算系统

课程简介

  • 所属大学:中国科学院大学
  • 先修要求:体系结构,深度学习
  • 编程语言:Python, C++, BCL
  • 课程难度:🌟🌟🌟
  • 预计学时:100 小时+

智能计算系统是智能的核心物质载体,每年全球要制造数以十亿计的智能计算系统(包括智能手机、智能服务器、智能可穿戴设备等),需要大量的智能计算系统的设计者和开发者。智能计算系统人才的培养直接关系到我国智能产业的核心竞争力。因此,对智能计算系统的认识和理解是智能时代计算机类专业学生培养方案中不可或缺的重要组成部分,是计算机类专业学生的核心竞争力。

国内的陈云霁老师开的课,在其他若干个大学也都有开对应的课程。这门课用一个个实验带大家以一个完整的视野理解人工智能的技术栈。从上层的深度学习框架,到用底层语言编写算子,再到硬件中 MLU 的设计,让大家形成系统思维,体会自上而下,融会贯通的乐趣。

我做了其中的 2,3,4,5 这几个实验,其中综合实验和硬件实验没有做,如果有做了的同学欢迎大家补上你的链接。

个人体会是第三章实现算子的实验让我对深度学习框架的了解加深了很多。第五章的实验BCL语言编写算子如果了解 CUDA 的话会感觉很熟悉。

推荐去买一本教材看一看,会让我们理解整体的技术栈。熟悉深度学习的同学可以直接从第五章开始看,看看深度学习框架底层到底是什么样的。

我因为这门课的启发,参考一本书(书名在仓库中)写了一个简易的深度学习框架。在这个框架里可以看到智能计算系统实验中的一些影子。同时受到 build-your-own-x 系列的启发,我也打算写一下教程,教大家写一个自己的深度学习框架。代码用 Python 写的,代码量较少,适合有一定基础的同学阅读。之后打算添加更多的算子,有望实现一个较为全面的框架,并希望移植到 C++ 中,以兼顾性能与开发效率。

课程资源

资源汇总

@ysj1173886760 在学习这门课中用到的所有资源和作业实现都汇总在 ysj1173886760/Learning: ai-system - GitHub 中。


最后更新: September 6, 2022

智能计算系统

课程简介

  • 所属大学:中国科学院大学
  • 先修要求:体系结构,深度学习
  • 编程语言:Python, C++, BCL
  • 课程难度:🌟🌟🌟
  • 预计学时:100 小时+

智能计算系统是智能的核心物质载体,每年全球要制造数以十亿计的智能计算系统(包括智能手机、智能服务器、智能可穿戴设备等),需要大量的智能计算系统的设计者和开发者。智能计算系统人才的培养直接关系到我国智能产业的核心竞争力。因此,对智能计算系统的认识和理解是智能时代计算机类专业学生培养方案中不可或缺的重要组成部分,是计算机类专业学生的核心竞争力。

国内的陈云霁老师开的课,在其他若干个大学也都有开对应的课程。这门课用一个个实验带大家以一个完整的视野理解人工智能的技术栈。从上层的深度学习框架,到用底层语言编写算子,再到硬件中 MLU 的设计,让大家形成系统思维,体会自上而下,融会贯通的乐趣。

我做了其中的 2,3,4,5 这几个实验,其中综合实验和硬件实验没有做,如果有做了的同学欢迎大家补上你的链接。

个人体会是第三章实现算子的实验让我对深度学习框架的了解加深了很多。第五章的实验BCL语言编写算子如果了解 CUDA 的话会感觉很熟悉。

推荐去买一本教材看一看,会让我们理解整体的技术栈。熟悉深度学习的同学可以直接从第五章开始看,看看深度学习框架底层到底是什么样的。

我因为这门课的启发,参考一本书(书名在仓库中)写了一个简易的深度学习框架。在这个框架里可以看到智能计算系统实验中的一些影子。同时受到 build-your-own-x 系列的启发,我也打算写一下教程,教大家写一个自己的深度学习框架。代码用 Python 写的,代码量较少,适合有一定基础的同学阅读。之后打算添加更多的算子,有望实现一个较为全面的框架,并希望移植到 C++ 中,以兼顾性能与开发效率。

课程资源

资源汇总

@ysj1173886760 在学习这门课中用到的所有资源和作业实现都汇总在 ysj1173886760/Learning: ai-system - GitHub 中。


最后更新: September 6, 2022
Back to top
\ No newline at end of file diff --git a/体系结构/CS61C/index.html b/体系结构/CS61C/index.html index 66e33b1c..dcebfee8 100644 --- a/体系结构/CS61C/index.html +++ b/体系结构/CS61C/index.html @@ -1,2 +1,2 @@ - UCB CS61C: Great Ideas in Computer Architecture - CS自学指南

CS61C: Great Ideas in Computer Architecture

课程简介

  • 所属大学:UC Berkeley
  • 先修要求:CS61A, CS61B
  • 编程语言:C
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:100 小时

伯克利 CS61 系列的最后一门课程,深入计算机的硬件细节,带领学生逐步理解 C 语言是如何一步步转化为 RISC-V 汇编并在 CPU 上执行的。和 Nand2Tetris 不同,这门课 在难度和深度上都会提高很多,具体会涉及到流水线、Cache、虚存以及并发相关的内容。

这门课的 Project 也非常新颖有趣。Project1 会让你用 C 语言写一个小程序,20 年秋季学期是著名的游戏 Game of Life。Project2 会让你用 RISC-V 汇编编写一个神经网络,用来 识别 MNIST 手写数字,非常锻炼你对汇编代码的理解和运用。Project3 中你会用 Logisim 这个数字电路模拟软件搭建出一个二级流水线的 CPU,并在上面运行 RISC-V 汇编代码。Project4 会让你使用 OpenMP, SIMD 等方法并行优化矩阵运算,实现一个简易的 Numpy。

总而言之,这是个人上过的最好的计算机体系结构的课程。

课程资源

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/CS61C-summer20 - GitHub 中。


最后更新: September 6, 2022

CS61C: Great Ideas in Computer Architecture

课程简介

  • 所属大学:UC Berkeley
  • 先修要求:CS61A, CS61B
  • 编程语言:C
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:100 小时

伯克利 CS61 系列的最后一门课程,深入计算机的硬件细节,带领学生逐步理解 C 语言是如何一步步转化为 RISC-V 汇编并在 CPU 上执行的。和 Nand2Tetris 不同,这门课 在难度和深度上都会提高很多,具体会涉及到流水线、Cache、虚存以及并发相关的内容。

这门课的 Project 也非常新颖有趣。Project1 会让你用 C 语言写一个小程序,20 年秋季学期是著名的游戏 Game of Life。Project2 会让你用 RISC-V 汇编编写一个神经网络,用来 识别 MNIST 手写数字,非常锻炼你对汇编代码的理解和运用。Project3 中你会用 Logisim 这个数字电路模拟软件搭建出一个二级流水线的 CPU,并在上面运行 RISC-V 汇编代码。Project4 会让你使用 OpenMP, SIMD 等方法并行优化矩阵运算,实现一个简易的 Numpy。

总而言之,这是个人上过的最好的计算机体系结构的课程。

课程资源

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/CS61C-summer20 - GitHub 中。


最后更新: September 6, 2022
Back to top
\ No newline at end of file diff --git a/体系结构/CSAPP/index.html b/体系结构/CSAPP/index.html index 6e53c41f..efe8be7f 100644 --- a/体系结构/CSAPP/index.html +++ b/体系结构/CSAPP/index.html @@ -1,2 +1,2 @@ - CMU 15-213: CSAPP - CS自学指南

CMU CS15213: CSAPP

课程简介

  • 所属大学:CMU
  • 先修要求:CS61A, CS61B
  • 编程语言:C
  • 课程难度:🌟🌟🌟🌟🌟
  • 预计学时:150 小时

CMU 大名鼎鼎的镇系神课,以其内容庞杂,Project 巨难而闻名遐迩。课程内容覆盖了汇编语言、体系结构、操作系统、编译链接、并行、网络等,作为系统入门课,兼具深度和广度,如果自学确实需要相当的毅力和代码功底。

这门课配合的教材由 CMU 计算机系主任 Bryant 教授执笔,也即所谓的 CSAPP。这也是我第一本认认真真一页一页读过去的计算机教材,虽然很难啃,但着实收获良多。

北大购买了这门课的版权并开设了 Introduction to Computer System 这门课,但其实 CSAPP 所有的课程资源和实验代码都能在它的官方主页上访问到(具体参见下方链接)。

这门课由于过于出名,全世界的码农争相学习,导致其 Project 的答案在网上几乎唾手可得。但如果你真的想锻炼自己的代码能力,希望你不要借鉴任何第三方代码。

认真学完这一门课,你对计算机系统的理解绝对会上升一个台阶。

课程资源

英语有困难的同学可以参考B站UP主九曲阑干对 CSAPP 的中文讲解(据说CMU的中国留学生也在CMU的课堂上看这个视频呢)。另外如果大家在看完 CSAPP 后对书中的第七章链接有一定的疑问,推荐阅读《程序员的自我修养》这本书,书的副标题是链接,装载与库。这本书能够帮助我们完善对程序链接的理解,相信你在看完这本书以后可以对程序的链接,ELF 文件,动态库都将有一个更加深入的理解。十分推荐在读完 CSAPP,对计算机系统有一定的了解以后作为补充资料来阅读。


最后更新: September 6, 2022

CMU CS15213: CSAPP

课程简介

  • 所属大学:CMU
  • 先修要求:CS61A, CS61B
  • 编程语言:C
  • 课程难度:🌟🌟🌟🌟🌟
  • 预计学时:150 小时

CMU 大名鼎鼎的镇系神课,以其内容庞杂,Project 巨难而闻名遐迩。课程内容覆盖了汇编语言、体系结构、操作系统、编译链接、并行、网络等,作为系统入门课,兼具深度和广度,如果自学确实需要相当的毅力和代码功底。

这门课配合的教材由 CMU 计算机系主任 Bryant 教授执笔,也即所谓的 CSAPP。这也是我第一本认认真真一页一页读过去的计算机教材,虽然很难啃,但着实收获良多。

北大购买了这门课的版权并开设了 Introduction to Computer System 这门课,但其实 CSAPP 所有的课程资源和实验代码都能在它的官方主页上访问到(具体参见下方链接)。

这门课由于过于出名,全世界的码农争相学习,导致其 Project 的答案在网上几乎唾手可得。但如果你真的想锻炼自己的代码能力,希望你不要借鉴任何第三方代码。

认真学完这一门课,你对计算机系统的理解绝对会上升一个台阶。

课程资源

英语有困难的同学可以参考B站UP主九曲阑干对 CSAPP 的中文讲解(据说CMU的中国留学生也在CMU的课堂上看这个视频呢)。另外如果大家在看完 CSAPP 后对书中的第七章链接有一定的疑问,推荐阅读《程序员的自我修养》这本书,书的副标题是链接,装载与库。这本书能够帮助我们完善对程序链接的理解,相信你在看完这本书以后可以对程序的链接,ELF 文件,动态库都将有一个更加深入的理解。十分推荐在读完 CSAPP,对计算机系统有一定的了解以后作为补充资料来阅读。


最后更新: September 6, 2022
Back to top
\ No newline at end of file diff --git a/体系结构/DDCA/index.html b/体系结构/DDCA/index.html index 865dc48c..09d1aff9 100644 --- a/体系结构/DDCA/index.html +++ b/体系结构/DDCA/index.html @@ -1,2 +1,2 @@ - Digital Design and Computer Architecture - CS自学指南

Digital Design and Computer Architecture

课程简介

  • 所属大学:ETH Zurich
  • 先修要求:CS50 或同阶课程,最好有 C 语言基础。
  • 编程语言:C,Verilog,MIPS 汇编,LC3 汇编
  • 课程难度:🌟🌟🌟
  • 预计学时:100 小时

体系结构领域的大牛 Onur Mutlu 来教你数字电路和计算机体系结构。课程完全从计算机设计的角度出发,从晶体管、逻辑门开始,一直讲解到微架构、缓存和虚拟内存,还会介绍 很多体系结构领域最新的研究进展。课程共有 9 个 lab,使用 Basys 3 FPGA 开发板(可自行购买)和 Xilinx 公司的 Vivado 软件(可在官网免费下载使用)进行电路设计,从组合电路 和时序电路开始,一直到最后部署一个完整的 CPU。课程资料除了 lab 答案和当期考试答案之外全部开源,学完之后你可以掌握计算机相关的数字电路,Verilog 硬件描述语言,MIPS 与 C 之间的转换关系,MIPS 单周期多周期流水线 CPU 的设计和性能分析,缓存,虚拟内存等重要概念。

课程资源


最后更新: September 6, 2022

Digital Design and Computer Architecture

课程简介

  • 所属大学:ETH Zurich
  • 先修要求:CS50 或同阶课程,最好有 C 语言基础。
  • 编程语言:C,Verilog,MIPS 汇编,LC3 汇编
  • 课程难度:🌟🌟🌟
  • 预计学时:100 小时

体系结构领域的大牛 Onur Mutlu 来教你数字电路和计算机体系结构。课程完全从计算机设计的角度出发,从晶体管、逻辑门开始,一直讲解到微架构、缓存和虚拟内存,还会介绍 很多体系结构领域最新的研究进展。课程共有 9 个 lab,使用 Basys 3 FPGA 开发板(可自行购买)和 Xilinx 公司的 Vivado 软件(可在官网免费下载使用)进行电路设计,从组合电路 和时序电路开始,一直到最后部署一个完整的 CPU。课程资料除了 lab 答案和当期考试答案之外全部开源,学完之后你可以掌握计算机相关的数字电路,Verilog 硬件描述语言,MIPS 与 C 之间的转换关系,MIPS 单周期多周期流水线 CPU 的设计和性能分析,缓存,虚拟内存等重要概念。

课程资源


最后更新: September 6, 2022
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\ No newline at end of file diff --git a/体系结构/N2T/index.html b/体系结构/N2T/index.html index b4afaba8..448b7dd3 100644 --- a/体系结构/N2T/index.html +++ b/体系结构/N2T/index.html @@ -1,2 +1,2 @@ - Coursera: Nand2Tetris - CS自学指南

Coursera: Nand2Tetris

课程简介

  • 所属大学:希伯来大学
  • 先修要求:无
  • 编程语言:任选一个编程语言
  • 课程难度:🌟🌟🌟
  • 预计学时:40 小时

Coursera 上被数万人评为满分,在全球四百多所高校、高中被采用,让一个完全没有计算机基础的人从与非门开始造一台计算机,并在上面运行俄罗斯方块小游戏。

听起来就很酷对不对?实现起来更酷!这门课分为硬件和软件两个部分。在硬件部分,你将进入 01 的世界,用与非门构造出逻辑电路,并逐步搭建出一个 CPU 来运行一套课程作者定义的简易汇编代码。在软件部分,你将编写一个编译器,将作者开发的一个名为Jack的高级语言编译为可以运行在虚拟机上的字节码,然后进一步翻译为汇编代码。你还将开发一个简易的 OS,让你的计算机支持输入输出图形界面。至此,你可以用 Jack 开发一个俄罗斯方块的小游戏,将它编译为汇编代码,运行在你用与非门搭建出的 CPU 上,通过你开发的 OS 进行交互。学完这门课程,你将对整个计算机的体系结构有一个全局且深刻的理解,对于你后续课程的学习有着莫大的帮助。

你也许会担心课程会不会很难,但这门课面向的人群是完全没有计算机基础的人,课程作者的目标是让高中生都能理解。因此,只要你按部就班跟着课程规划走,一个月内学完应该绰绰有余。麻雀虽小但是五脏俱全,这门课很好地提取出了计算机的本质,而不过多地陷于现代计算机为了性能而设计出的众多复杂细节。让学习者能在轻松愉快的学习体验中感受计算机的优雅与神奇。

课程资源

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/NandToTetris - GitHub 中。


最后更新: September 6, 2022

Coursera: Nand2Tetris

课程简介

  • 所属大学:希伯来大学
  • 先修要求:无
  • 编程语言:任选一个编程语言
  • 课程难度:🌟🌟🌟
  • 预计学时:40 小时

Coursera 上被数万人评为满分,在全球四百多所高校、高中被采用,让一个完全没有计算机基础的人从与非门开始造一台计算机,并在上面运行俄罗斯方块小游戏。

听起来就很酷对不对?实现起来更酷!这门课分为硬件和软件两个部分。在硬件部分,你将进入 01 的世界,用与非门构造出逻辑电路,并逐步搭建出一个 CPU 来运行一套课程作者定义的简易汇编代码。在软件部分,你将编写一个编译器,将作者开发的一个名为Jack的高级语言编译为可以运行在虚拟机上的字节码,然后进一步翻译为汇编代码。你还将开发一个简易的 OS,让你的计算机支持输入输出图形界面。至此,你可以用 Jack 开发一个俄罗斯方块的小游戏,将它编译为汇编代码,运行在你用与非门搭建出的 CPU 上,通过你开发的 OS 进行交互。学完这门课程,你将对整个计算机的体系结构有一个全局且深刻的理解,对于你后续课程的学习有着莫大的帮助。

你也许会担心课程会不会很难,但这门课面向的人群是完全没有计算机基础的人,课程作者的目标是让高中生都能理解。因此,只要你按部就班跟着课程规划走,一个月内学完应该绰绰有余。麻雀虽小但是五脏俱全,这门课很好地提取出了计算机的本质,而不过多地陷于现代计算机为了性能而设计出的众多复杂细节。让学习者能在轻松愉快的学习体验中感受计算机的优雅与神奇。

课程资源

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/NandToTetris - GitHub 中。


最后更新: September 6, 2022
Back to top
\ No newline at end of file diff --git a/后记/index.html b/后记/index.html index f9b8091d..30554b19 100644 --- a/后记/index.html +++ b/后记/index.html @@ -1,2 +1,2 @@ - 后记 - CS自学指南

后记

从最初的想法开始,到断断续续完成这本书,再到树洞的热烈反响,我很激动,但也五味杂陈。原来在北大这个园子里,也有那么多人,对自己的本科生涯并不满意。而这里,可是囊括了中国非常优秀的一帮年轻人。所以问题出在哪里?我不知道。

我只是个籍籍无名的本科生呀,只是一个单纯的求学者,我的目标只是想快乐地、自由地、高质量地掌握那些专业知识,我想,正在看这本书的大多数本科生也是如此,谁想付出时间但却收效甚微呢?又是谁迫使大家带着痛苦去应付呢?我不知道。

我写这本书绝不是为了鼓励大家翘课自学,试问谁不想在课堂上和那么多优秀的同学济济一堂,热烈讨论呢?谁不想遇到问题直接找老师答疑解惑呢?谁不想辛苦学习的成果可以直接化作学校承认的学分绩点呢?可如果一个兢兢业业、按时到堂的学生收获的却是痛苦,而那个一学期只有考试会出席的学生却学得自得其乐,这公平吗?我不知道。

我只是不甘,不甘心这些通过高考战胜无数人进入高校的学子本可以收获一个更快乐的本科生涯,但现实却留给了他们遗憾。我反问自己,本科教育究竟应该带给我们什么呢?是学完所有这些课程吗?倒也未必,它也许只适合我这种nerd。但我觉得,本科教育至少得展现它应有的诚意,一种分享知识的诚意,一种以人为本的诚意,一种注重学生体验的诚意。它至少不应该是一种恶意,一种拼比知识的恶意,一种胜者为王的恶意,一种让人学无所得的恶意。但这一切能改变吗?我不知道。

我只知道我做了应该做的事情,学生们会用脚投票,树洞的关注量和回帖数证明了这样一份资料是有价值的,也道出了国内CS本科教育和国外的差距。也许这样的改变是微乎其微的,但别忘了我只是一个籍籍无名的本科生,是北大信科一千多名本科生中的普通一员,是中国几百万在读本科生中的一分子,如果有更多的人站出来,每个人做一点点,也许是分享一个帖子,也许是当一门课的助教,也许是精心设计一门课的lab,更或许是将来获得教职之后开设一门高质量的课程,出版一本经典的教材。本科教育真的有什么技术壁垒吗?我看未必,教育靠的是诚意,靠的是育人之心。

今天是2021年12月12日,我期待在不久的将来这个帖子会被遗忘,大家可以满心欢喜地选着自己培养方案上的课程,做着学校自行设计的各类编程实验,课堂没有签到也能济济一堂,学生踊跃地发言互动,大家的收获可以和努力成正比,那些曾经的遗憾和痛苦可以永远成为历史。我真的很期待那一天,真的真的真的很期待。

PKUFlyingPig

2021年12月12日写于燕园


最后更新: April 3, 2022

后记

从最初的想法开始,到断断续续完成这本书,再到树洞的热烈反响,我很激动,但也五味杂陈。原来在北大这个园子里,也有那么多人,对自己的本科生涯并不满意。而这里,可是囊括了中国非常优秀的一帮年轻人。所以问题出在哪里?我不知道。

我只是个籍籍无名的本科生呀,只是一个单纯的求学者,我的目标只是想快乐地、自由地、高质量地掌握那些专业知识,我想,正在看这本书的大多数本科生也是如此,谁想付出时间但却收效甚微呢?又是谁迫使大家带着痛苦去应付呢?我不知道。

我写这本书绝不是为了鼓励大家翘课自学,试问谁不想在课堂上和那么多优秀的同学济济一堂,热烈讨论呢?谁不想遇到问题直接找老师答疑解惑呢?谁不想辛苦学习的成果可以直接化作学校承认的学分绩点呢?可如果一个兢兢业业、按时到堂的学生收获的却是痛苦,而那个一学期只有考试会出席的学生却学得自得其乐,这公平吗?我不知道。

我只是不甘,不甘心这些通过高考战胜无数人进入高校的学子本可以收获一个更快乐的本科生涯,但现实却留给了他们遗憾。我反问自己,本科教育究竟应该带给我们什么呢?是学完所有这些课程吗?倒也未必,它也许只适合我这种nerd。但我觉得,本科教育至少得展现它应有的诚意,一种分享知识的诚意,一种以人为本的诚意,一种注重学生体验的诚意。它至少不应该是一种恶意,一种拼比知识的恶意,一种胜者为王的恶意,一种让人学无所得的恶意。但这一切能改变吗?我不知道。

我只知道我做了应该做的事情,学生们会用脚投票,树洞的关注量和回帖数证明了这样一份资料是有价值的,也道出了国内CS本科教育和国外的差距。也许这样的改变是微乎其微的,但别忘了我只是一个籍籍无名的本科生,是北大信科一千多名本科生中的普通一员,是中国几百万在读本科生中的一分子,如果有更多的人站出来,每个人做一点点,也许是分享一个帖子,也许是当一门课的助教,也许是精心设计一门课的lab,更或许是将来获得教职之后开设一门高质量的课程,出版一本经典的教材。本科教育真的有什么技术壁垒吗?我看未必,教育靠的是诚意,靠的是育人之心。

今天是2021年12月12日,我期待在不久的将来这个帖子会被遗忘,大家可以满心欢喜地选着自己培养方案上的课程,做着学校自行设计的各类编程实验,课堂没有签到也能济济一堂,学生踊跃地发言互动,大家的收获可以和努力成正比,那些曾经的遗憾和痛苦可以永远成为历史。我真的很期待那一天,真的真的真的很期待。

PKUFlyingPig

2021年12月12日写于燕园


最后更新: April 3, 2022
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\ No newline at end of file diff --git a/培养方案Pro/index.html b/培养方案Pro/index.html index 370723c7..e0158774 100644 --- a/培养方案Pro/index.html +++ b/培养方案Pro/index.html @@ -1,2 +1,2 @@ - 培养方案Pro - CS自学指南

培养方案Pro

under construction.


最后更新: November 30, 2021

培养方案Pro

under construction.


最后更新: November 30, 2021
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\ No newline at end of file diff --git a/好书推荐/index.html b/好书推荐/index.html index ce4b0007..8d5a668e 100644 --- a/好书推荐/index.html +++ b/好书推荐/index.html @@ -1,4 +1,4 @@ - 好书推荐 - CS自学指南

好书推荐

这是 CMU 2022年秋季学期开设的一门新课,聚焦于深度学习框架的具体实现,课程 Project 会实现一个迷你的类似于 Pytorch 深度学习框架。课程免费提供了面向非 CMU 学生的在线版本,9月13日正式授课,作者持续跟进中。

课程资源

资源汇总

TBA


最后更新: September 7, 2022
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\ No newline at end of file diff --git a/机器学习系统/MLC/index.html b/机器学习系统/MLC/index.html index 4a37cd32..3ab0a567 100644 --- a/机器学习系统/MLC/index.html +++ b/机器学习系统/MLC/index.html @@ -1,8 +1,8 @@ - Machine Learning Compilation - CS自学指南

Machine Learning Compilation

课程简介

  • 所属大学:Bilibili 大学
  • 先修要求:机器学习/深度学习基础
  • 编程语言:Python
  • 课程难度:🌟🌟🌟
  • 预计学时:30小时

这门课是机器学习编译领域的顶尖学者陈天奇在2022年暑期开设的一门在线课程。其实机器学习编译无论在工业界还是学术界仍然是一个非常前沿且快速更迭的领域,国内外此前还没有为这个方向专门开设的相关课程。因此如果对机器学习编译感兴趣想有个全貌性的感知的话,可以学习一下这门课。

本课程主要以 Apache TVM 这一主流的机器学习编译框架为例(陈天奇是这个框架的创始人之一),聚焦于如何将开发模式下(如 Tensorflow, Pytorch, Jax)的各类机器学习模型,通过一套普适的抽象和优化算法,变换为拥有更高性能并且适配各类底层硬件的部署模式。课程讲授的知识点都是相对 High-Level 的宏观概念,同时每节课都会有一个配套的 Jupyter Notebook 来通过具体的代码讲解知识点,因此如果从事 TVM 相关的编程开发的话,这门课有丰富且规范的代码示例以供参考。

所有的课程资源全部开源并且有中文和英文两个版本,B站和油管分别有中文和英文的课程录影。

课程资源


最后更新: September 5, 2022
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\ No newline at end of file +
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\ No newline at end of file diff --git a/机器学习系统/MLSys/index.html b/机器学习系统/MLSys/index.html deleted file mode 100644 index 72db7827..00000000 --- a/机器学习系统/MLSys/index.html +++ /dev/null @@ -1,8 +0,0 @@ - Machine Learning System - CS自学指南

Machine Learning System

课程简介

  • 所属大学:CMU
  • 先修要求:系统入门、深度学习入门
  • 编程语言:N/A
  • 课程难度:N/A
  • 预计学时:N/A

这是 CMU 2022年秋季学期开设的一门新课,聚焦于深度学习框架的具体实现,课程 Project 会实现一个迷你的类似于 Pytorch 深度学习框架。课程免费提供了面向非 CMU 学生的在线版本,9月13日正式授课,作者持续跟进中。

课程资源

资源汇总

TBA


最后更新: September 5, 2022
Back to top
\ No newline at end of file diff --git a/机器学习进阶/CMU10-708/index.html b/机器学习进阶/CMU10-708/index.html index 0d2d1cb8..f5351f9d 100644 --- a/机器学习进阶/CMU10-708/index.html +++ b/机器学习进阶/CMU10-708/index.html @@ -1,2 +1,2 @@ - CMU 10-708: Probabilistic Graphical Models - CS自学指南

CMU 10-708: Probabilistic Graphical Models

课程简介

  • 所属大学:CMU
  • 先修要求:Machine Learning, Deep Learning, Reinforcement Learning
  • 课程难度:🌟🌟🌟🌟🌟
  • 课程网站:https://sailinglab.github.io/pgm-spring-2019/
  • 这个网站包含了所有的资源:slides, nots, video, homework, project

这门课程是 CMU 的图模型基础 + 进阶课,授课老师为 Eric P. Xing,涵盖了图模型基础,与神经网络的结合,在强化学习中的应用,以及非参数方法。相当硬核


最后更新: April 3, 2022

CMU 10-708: Probabilistic Graphical Models

课程简介

  • 所属大学:CMU
  • 先修要求:Machine Learning, Deep Learning, Reinforcement Learning
  • 课程难度:🌟🌟🌟🌟🌟
  • 课程网站:https://sailinglab.github.io/pgm-spring-2019/
  • 这个网站包含了所有的资源:slides, nots, video, homework, project

这门课程是 CMU 的图模型基础 + 进阶课,授课老师为 Eric P. Xing,涵盖了图模型基础,与神经网络的结合,在强化学习中的应用,以及非参数方法。相当硬核


最后更新: April 3, 2022
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\ No newline at end of file diff --git a/机器学习进阶/CS229M/index.html b/机器学习进阶/CS229M/index.html index 91e2af49..47f19986 100644 --- a/机器学习进阶/CS229M/index.html +++ b/机器学习进阶/CS229M/index.html @@ -1,2 +1,2 @@ - Stanford STATS214 / CS229M: Machine Learning Theory - CS自学指南

STATS214 / CS229M: Machine Learning Theory

课程简介

经典学习理论 + 最新深度学习理论,非常硬核。授课老师之前是 Percy Liang,现在是 Tengyu Ma


最后更新: April 3, 2022

STATS214 / CS229M: Machine Learning Theory

课程简介

经典学习理论 + 最新深度学习理论,非常硬核。授课老师之前是 Percy Liang,现在是 Tengyu Ma


最后更新: April 3, 2022
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\ No newline at end of file diff --git a/机器学习进阶/STA4273/index.html b/机器学习进阶/STA4273/index.html index 0bacbd2d..0a96b419 100644 --- a/机器学习进阶/STA4273/index.html +++ b/机器学习进阶/STA4273/index.html @@ -1,2 +1,2 @@ - U Toronto STA 4273 Winter 2021: Minimizing Expectations - CS自学指南

STA 4273 Winter 2021: Minimizing Expectations

课程简介

这是一门较为进阶的 Ph.D. 研究课程,核心内容是 inference 和 control 之间的关系。授课老师为 Chris Maddison (AlphaGo founding member, NeurIPS 14 best paper)


最后更新: April 3, 2022

STA 4273 Winter 2021: Minimizing Expectations

课程简介

这是一门较为进阶的 Ph.D. 研究课程,核心内容是 inference 和 control 之间的关系。授课老师为 Chris Maddison (AlphaGo founding member, NeurIPS 14 best paper)


最后更新: April 3, 2022
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\ No newline at end of file diff --git a/机器学习进阶/STAT8201/index.html b/机器学习进阶/STAT8201/index.html index 8672e240..8009f5b7 100644 --- a/机器学习进阶/STAT8201/index.html +++ b/机器学习进阶/STAT8201/index.html @@ -1,2 +1,2 @@ - Columbia STAT 8201: Deep Generative Models - CS自学指南

Columbia STAT 8201: Deep Generative Models

课程简介

这门课是一门 PhD 讨论班,每周的内容是展示 + 讨论论文,授课老师是 John Cunningham。Deep Generative Models (深度生成模型) 是图模型与神经网络的结合,也是现代机器学习最重要的方向之一


最后更新: April 3, 2022

Columbia STAT 8201: Deep Generative Models

课程简介

这门课是一门 PhD 讨论班,每周的内容是展示 + 讨论论文,授课老师是 John Cunningham。Deep Generative Models (深度生成模型) 是图模型与神经网络的结合,也是现代机器学习最重要的方向之一


最后更新: April 3, 2022
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\ No newline at end of file diff --git a/机器学习进阶/roadmap/index.html b/机器学习进阶/roadmap/index.html index ae41b28e..80a4b6c5 100644 --- a/机器学习进阶/roadmap/index.html +++ b/机器学习进阶/roadmap/index.html @@ -1,2 +1,2 @@ - 进阶路线图 - CS自学指南

机器学习进阶

此路线图适用于已经学过了基础机器学习 (ML, NLP, CV, RL) 的同学 (高年级本科生或低年级研究生),已经发表过至少一篇顶会论文 (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, CVPR, ICCV) 想要走机器学习科研路线的选手。

此路线的目标是为读懂与发表机器学习顶会论文打下理论基础,特别是 Probabilistic Methods 这个 track 下的文章

机器学习进阶可能存在多种不同的学习路线,此路线只能代表作者 Yao Fu 所理解的最佳路径,侧重于贝叶斯学派下的概率建模方法,也会涉及到各项相关学科的交叉知识。

必读教材

  • PRML: Pattern Recognition and Machine Learning. Christopher Bishop
  • 经典贝叶斯学派教材
  • AoS: All of Statistics. Larry Wasserman
  • 经典频率学派教材

所以这两本书刚好相辅相成

字典

  • MLAPP: Machine Learning: A Probabilistic Perspective. Kevin Murphy
  • Convex Optimization. Stephen Boyd and Lieven Vandenberghe

进阶书籍

  • W&J: Graphical Models, Exponential Families, and Variational Inference. Martin Wainwright and Michael Jordan
  • Theory of Point Estimation. E. L. Lehmann and George Casella

如何阅读

Guidelines

  • 必读教材就是一定要读的教材
  • 字典的意思是,一般情况下不管它,但当遇到了不懂的概念的时候,就去字典里面查(而不是维基百科)
  • 进阶书籍先不读,先读完必读书籍。必读书籍一般都是要前前后后反复看过 N 遍才算读完
  • 读的过程中,最重要的读法就是对比阅读 (contrastive-comparative reading):同时打开两本书讲同一主题的章节,然后对比相同点和不同点和联系
  • 读的过程中,尽量去回想之前读过的论文,比较论文和教材的相同点与不同点

基础路径

  • 先读 AoS 第六章: Models, Statistical Inference and Learning,这一部分是最基础的科普
  • 然后读 PRML 第 10, 11 章
  • 第 10 章的内容是 Variational Inference, 第 11 章的内容是 MCMC, 这两种方法是贝叶斯推断的两条最主要路线
  • 如果在读 PRML 的过程中发现有任何不懂的名词,就去翻前面的章节。很大概率能够在第 3,4 章找到相对应的定义;如果找不到或者不够详细,就去查 MLAPP
  • AoS 第 8 章 (Parametric Inference) 和第 11 章 (Bayesian Inference) 也可以作为参考。最好的方法是多本书对比阅读,流程如下
    • 假设我在读 PRML 第 10 章的时候发现了一个不懂的词:posterior inference
    • 于是我往前翻,翻到了第 3 章 (Linear Model for Regression),看到了最简单的 posterior
    • 然后我接着翻 AoS,翻到了第 11 章,也有对 posterior 的描述
    • 然后我对比 PRML 第 10 章,第 3 章,AoS 第 11 章,三处不同地方对 posterior 的解读,比较其相同点和不同点和联系
  • 读完 PRML 第 10 和 11 章之后,接着读 AoS 第 24 章 (Simulation Methods),然后把它和 PRML 第 11 章对比阅读 -- 这俩都是讲 MCMC
  • 如果到此处发现还有基础概念读不懂,就回到 PRML 第 3 章,把它和 AoS 第 11 章对比阅读
  • Again,对比阅读非常重要,一定要把不同本书的类似内容同时摆在面前相互对比,这样可以显著增强记忆
  • 然后读 PRML 第 13 章(跳过第 12 章),这一章可以和 MLAPP 的第 17, 18 章对比阅读
  • MLAPP 第 17 章是 PRML 第 13.2 章的详细版,主要讲 HMM
  • MLAPP 第 18 章是 PRML 第 13.3 章的详细版,主要讲 LDS
  • 读完 PRML 第 13 章之后,再去读 PRML 第 8 章 (Graphical Models) -- 此时这部分应该会读得很轻松
  • 以上的内容可以进一步对照 CMU 10-708 PGM 课程材料

到目前为止,应该能够掌握

  • 概率模型的基础定义
  • 精准推断 - Sum-Product
  • 近似推断 - MCMC
  • 近似推断 - VI

然后就可以去做更进阶的内容


最后更新: April 3, 2022

机器学习进阶

此路线图适用于已经学过了基础机器学习 (ML, NLP, CV, RL) 的同学 (高年级本科生或低年级研究生),已经发表过至少一篇顶会论文 (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, CVPR, ICCV) 想要走机器学习科研路线的选手。

此路线的目标是为读懂与发表机器学习顶会论文打下理论基础,特别是 Probabilistic Methods 这个 track 下的文章

机器学习进阶可能存在多种不同的学习路线,此路线只能代表作者 Yao Fu 所理解的最佳路径,侧重于贝叶斯学派下的概率建模方法,也会涉及到各项相关学科的交叉知识。

必读教材

  • PRML: Pattern Recognition and Machine Learning. Christopher Bishop
  • 经典贝叶斯学派教材
  • AoS: All of Statistics. Larry Wasserman
  • 经典频率学派教材

所以这两本书刚好相辅相成

字典

  • MLAPP: Machine Learning: A Probabilistic Perspective. Kevin Murphy
  • Convex Optimization. Stephen Boyd and Lieven Vandenberghe

进阶书籍

  • W&J: Graphical Models, Exponential Families, and Variational Inference. Martin Wainwright and Michael Jordan
  • Theory of Point Estimation. E. L. Lehmann and George Casella

如何阅读

Guidelines

  • 必读教材就是一定要读的教材
  • 字典的意思是,一般情况下不管它,但当遇到了不懂的概念的时候,就去字典里面查(而不是维基百科)
  • 进阶书籍先不读,先读完必读书籍。必读书籍一般都是要前前后后反复看过 N 遍才算读完
  • 读的过程中,最重要的读法就是对比阅读 (contrastive-comparative reading):同时打开两本书讲同一主题的章节,然后对比相同点和不同点和联系
  • 读的过程中,尽量去回想之前读过的论文,比较论文和教材的相同点与不同点

基础路径

  • 先读 AoS 第六章: Models, Statistical Inference and Learning,这一部分是最基础的科普
  • 然后读 PRML 第 10, 11 章
  • 第 10 章的内容是 Variational Inference, 第 11 章的内容是 MCMC, 这两种方法是贝叶斯推断的两条最主要路线
  • 如果在读 PRML 的过程中发现有任何不懂的名词,就去翻前面的章节。很大概率能够在第 3,4 章找到相对应的定义;如果找不到或者不够详细,就去查 MLAPP
  • AoS 第 8 章 (Parametric Inference) 和第 11 章 (Bayesian Inference) 也可以作为参考。最好的方法是多本书对比阅读,流程如下
    • 假设我在读 PRML 第 10 章的时候发现了一个不懂的词:posterior inference
    • 于是我往前翻,翻到了第 3 章 (Linear Model for Regression),看到了最简单的 posterior
    • 然后我接着翻 AoS,翻到了第 11 章,也有对 posterior 的描述
    • 然后我对比 PRML 第 10 章,第 3 章,AoS 第 11 章,三处不同地方对 posterior 的解读,比较其相同点和不同点和联系
  • 读完 PRML 第 10 和 11 章之后,接着读 AoS 第 24 章 (Simulation Methods),然后把它和 PRML 第 11 章对比阅读 -- 这俩都是讲 MCMC
  • 如果到此处发现还有基础概念读不懂,就回到 PRML 第 3 章,把它和 AoS 第 11 章对比阅读
  • Again,对比阅读非常重要,一定要把不同本书的类似内容同时摆在面前相互对比,这样可以显著增强记忆
  • 然后读 PRML 第 13 章(跳过第 12 章),这一章可以和 MLAPP 的第 17, 18 章对比阅读
  • MLAPP 第 17 章是 PRML 第 13.2 章的详细版,主要讲 HMM
  • MLAPP 第 18 章是 PRML 第 13.3 章的详细版,主要讲 LDS
  • 读完 PRML 第 13 章之后,再去读 PRML 第 8 章 (Graphical Models) -- 此时这部分应该会读得很轻松
  • 以上的内容可以进一步对照 CMU 10-708 PGM 课程材料

到目前为止,应该能够掌握

  • 概率模型的基础定义
  • 精准推断 - Sum-Product
  • 近似推断 - MCMC
  • 近似推断 - VI

然后就可以去做更进阶的内容


最后更新: April 3, 2022
Back to top
\ No newline at end of file diff --git a/深度学习/CS224n/index.html b/深度学习/CS224n/index.html index 27e2fed3..6757f1b7 100644 --- a/深度学习/CS224n/index.html +++ b/深度学习/CS224n/index.html @@ -1,2 +1,2 @@ - Stanford CS224n: Natural Language Processing - CS自学指南

CS224n: Natural Language Processing

课程简介

  • 所属大学:Stanford
  • 先修要求:深度学习基础 + Python
  • 编程语言:Python
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:80 小时

Stanford 的 NLP 入门课程,由自然语言处理领域的巨佬 Chris Manning 领衔教授(word2vec 算法的开创者)。内容覆盖了词向量、RNN、LSTM、Seq2Seq 模型、机器翻译、注意力机制、Transformer 等等 NLP 领域的核心知识点。

5 个编程作业难度循序渐进,分别是词向量、word2vec 算法、Dependency parsing、机器翻译以及 Transformer 的 fine-tune。

最终的大作业是在 Stanford 著名的 SQuAD 数据集上训练 QA 模型,有学生的大作业甚至直接发表了顶会论文。

课程资源

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/CS224n - GitHub 中。


最后更新: September 6, 2022

CS224n: Natural Language Processing

课程简介

  • 所属大学:Stanford
  • 先修要求:深度学习基础 + Python
  • 编程语言:Python
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:80 小时

Stanford 的 NLP 入门课程,由自然语言处理领域的巨佬 Chris Manning 领衔教授(word2vec 算法的开创者)。内容覆盖了词向量、RNN、LSTM、Seq2Seq 模型、机器翻译、注意力机制、Transformer 等等 NLP 领域的核心知识点。

5 个编程作业难度循序渐进,分别是词向量、word2vec 算法、Dependency parsing、机器翻译以及 Transformer 的 fine-tune。

最终的大作业是在 Stanford 著名的 SQuAD 数据集上训练 QA 模型,有学生的大作业甚至直接发表了顶会论文。

课程资源

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/CS224n - GitHub 中。


最后更新: September 6, 2022
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\ No newline at end of file diff --git a/深度学习/CS224w/index.html b/深度学习/CS224w/index.html index f7b62d9e..b12093d6 100644 --- a/深度学习/CS224w/index.html +++ b/深度学习/CS224w/index.html @@ -1,2 +1,2 @@ - Stanford CS224w: Machine Learning with Graphs - CS自学指南

CS224w: Machine Learning with Graphs

课程简介

  • 所属大学:Stanford
  • 先修要求:深度学习基础 + Python
  • 编程语言:Python, LaTeX
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:80 小时

Stanford 的图神经网络入门课,这门课我没有上过,但众多做 GNN 的朋友都向我力荐过这门课,想必 Stanford 的课质量还是一如既往地有保证的。另外就是这门课的授课老师非常年轻帅气:)

课程资源


最后更新: April 3, 2022

CS224w: Machine Learning with Graphs

课程简介

  • 所属大学:Stanford
  • 先修要求:深度学习基础 + Python
  • 编程语言:Python, LaTeX
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:80 小时

Stanford 的图神经网络入门课,这门课我没有上过,但众多做 GNN 的朋友都向我力荐过这门课,想必 Stanford 的课质量还是一如既往地有保证的。另外就是这门课的授课老师非常年轻帅气:)

课程资源


最后更新: April 3, 2022
Back to top
\ No newline at end of file diff --git a/深度学习/CS230/index.html b/深度学习/CS230/index.html index ead80c1f..432109ce 100644 --- a/深度学习/CS230/index.html +++ b/深度学习/CS230/index.html @@ -1,2 +1,2 @@ - Coursera: Deep Learning - CS自学指南

Coursera: Deep Learning

课程简介

  • 所属大学:Stanford
  • 先修要求:机器学习基础 + Python
  • 编程语言:Python
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:80 小时

吴恩达在 Coursera 开设的另一门网红课程,学习者无数,堪称圣经级的深度学习入门课。深入浅出的讲解,眼花缭乱的 Project。从最基础的神经网络,到 CNN, RNN,再到最近大热的 Transformer。学完这门课,你将初步掌握深度学习领域必备的知识和技能,并且可以在 Kaggle 中参加自己感兴趣的比赛,在实践中锻炼自己。

课程资源


最后更新: April 3, 2022
Back to top
\ No newline at end of file + Coursera: Deep Learning - CS自学指南

Coursera: Deep Learning

课程简介

  • 所属大学:Stanford
  • 先修要求:机器学习基础 + Python
  • 编程语言:Python
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:80 小时

吴恩达在 Coursera 开设的另一门网红课程,学习者无数,堪称圣经级的深度学习入门课。深入浅出的讲解,眼花缭乱的 Project。从最基础的神经网络,到 CNN, RNN,再到最近大热的 Transformer。学完这门课,你将初步掌握深度学习领域必备的知识和技能,并且可以在 Kaggle 中参加自己感兴趣的比赛,在实践中锻炼自己。

课程资源


最后更新: April 3, 2022
Back to top
\ No newline at end of file diff --git a/深度学习/CS231/index.html b/深度学习/CS231/index.html index ef61aa6b..4d52b388 100644 --- a/深度学习/CS231/index.html +++ b/深度学习/CS231/index.html @@ -1,2 +1,2 @@ - Stanford CS231n: CNN for Visual Recognition - CS自学指南

CS231n: CNN for Visual Recognition

课程简介

  • 所属大学:Stanford
  • 先修要求:机器学习基础
  • 编程语言:Python
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:80 小时

Stanford 的 CV 入门课,由计算机领域的巨佬李飞飞院士领衔教授(CV 领域划时代的著名数据集 ImageNet 的研究团队),但其内容相对基础且友好,如果上过 CS230 的话可以直接上手 Project 作为练习。

课程资源


最后更新: April 3, 2022

CS231n: CNN for Visual Recognition

课程简介

  • 所属大学:Stanford
  • 先修要求:机器学习基础
  • 编程语言:Python
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:80 小时

Stanford 的 CV 入门课,由计算机领域的巨佬李飞飞院士领衔教授(CV 领域划时代的著名数据集 ImageNet 的研究团队),但其内容相对基础且友好,如果上过 CS230 的话可以直接上手 Project 作为练习。

课程资源


最后更新: April 3, 2022
Back to top
\ No newline at end of file diff --git a/深度学习/CS285/index.html b/深度学习/CS285/index.html index 02a1cd55..128dba7e 100644 --- a/深度学习/CS285/index.html +++ b/深度学习/CS285/index.html @@ -1,2 +1,2 @@ - UCB CS285: Deep Reinforcement Learning - CS自学指南

CS285: Deep Reinforcement Learning

课程简介

  • 所属大学:UC Berkeley
  • 先修要求:CS188, CS189
  • 编程语言:Python
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:80 小时

伯克利的强化学习研究生课程,所有课程录影、slides、作业代码均在网站开源。在我的收藏夹里吃灰很久了,一直想找机会学习一下。

课程资源


最后更新: April 3, 2022

CS285: Deep Reinforcement Learning

课程简介

  • 所属大学:UC Berkeley
  • 先修要求:CS188, CS189
  • 编程语言:Python
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:80 小时

伯克利的强化学习研究生课程,所有课程录影、slides、作业代码均在网站开源。在我的收藏夹里吃灰很久了,一直想找机会学习一下。

课程资源


最后更新: April 3, 2022
Back to top
\ No newline at end of file diff --git a/深度学习/LHY/index.html b/深度学习/LHY/index.html index a4d120f2..ddd91b6e 100644 --- a/深度学习/LHY/index.html +++ b/深度学习/LHY/index.html @@ -1,2 +1,2 @@ - 国立台湾大学:李宏毅机器学习 - CS自学指南

国立台湾大学:李宏毅机器学习

课程简介

  • 所属大学:國立台灣大學
  • 先修要求:熟练掌握 Python
  • 编程语言:Python
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:80 小时

李宏毅老师是国立台湾大学的教授,其风趣幽默的授课风格深受大家喜爱,并且尤其喜欢在 PPT 中插入宝可梦等动漫元素,是个非常可爱的老师。

这门课挂着机器学习的牌子,但其课程内容之广实在令人咋舌,其作业一共包含 15 个 lab,分别是 Regression、Classification、CNN、Self-Attention、Transformer、GAN、BERT、Anomaly Detection、Explainable AI、Attack、Adaptation、 RL、Compression、Life-Long Learning 以及 Meta Learning。可谓是包罗万象,能让学生对于深度学习的绝大多数领域都有一定了解,从而可以进一步选择想要深入的方向进行学习。

大家也大可不必担心作业的难度,因为所有作业都会提供助教的示例代码,帮你完成数据处理、模型搭建等,你只需要在其基础上进行适量的修改即可。这也是一个学习别人优质代码的极好机会,大家需要水课程大作业的话,这里也是一个不错的资料来源。

课程资源


最后更新: May 11, 2022

国立台湾大学:李宏毅机器学习

课程简介

  • 所属大学:國立台灣大學
  • 先修要求:熟练掌握 Python
  • 编程语言:Python
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:80 小时

李宏毅老师是国立台湾大学的教授,其风趣幽默的授课风格深受大家喜爱,并且尤其喜欢在 PPT 中插入宝可梦等动漫元素,是个非常可爱的老师。

这门课挂着机器学习的牌子,但其课程内容之广实在令人咋舌,其作业一共包含 15 个 lab,分别是 Regression、Classification、CNN、Self-Attention、Transformer、GAN、BERT、Anomaly Detection、Explainable AI、Attack、Adaptation、 RL、Compression、Life-Long Learning 以及 Meta Learning。可谓是包罗万象,能让学生对于深度学习的绝大多数领域都有一定了解,从而可以进一步选择想要深入的方向进行学习。

大家也大可不必担心作业的难度,因为所有作业都会提供助教的示例代码,帮你完成数据处理、模型搭建等,你只需要在其基础上进行适量的修改即可。这也是一个学习别人优质代码的极好机会,大家需要水课程大作业的话,这里也是一个不错的资料来源。

课程资源


最后更新: May 11, 2022
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\ No newline at end of file diff --git a/电子基础/EE16/index.html b/电子基础/EE16/index.html index 71199675..0e6fae07 100644 --- a/电子基础/EE16/index.html +++ b/电子基础/EE16/index.html @@ -1,2 +1,2 @@ - EE16A&B: Designing Information Devices and Systems I&II - CS自学指南

UCB EE16A&B: Designing Information Devices and Systems I&II

课程简介

  • 所属大学:UC Berkeley
  • 先修要求:无
  • 编程语言:Python
  • 课程难度:🌟🌟🌟
  • 预计学时:150 小时

UC Berkeley 电子系学生的大一入门课,通过电路基础知识的讲授,配合各类动手实操的 lab,让学生体验通过电路从环境中收集信息并进行分析,作出预测和反馈。由于疫情的缘故,所有 lab 都有远程在线版,非常适合大家在家自学。

课程资源

  • 课程网站:EE16A, EE16B
  • 课程视频:B 站搜索
  • 课程教材:参见课程 notes
  • 课程作业:参见课程主页

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/EE16A - GitHub 中。


最后更新: September 6, 2022

UCB EE16A&B: Designing Information Devices and Systems I&II

课程简介

  • 所属大学:UC Berkeley
  • 先修要求:无
  • 编程语言:Python
  • 课程难度:🌟🌟🌟
  • 预计学时:150 小时

UC Berkeley 电子系学生的大一入门课,通过电路基础知识的讲授,配合各类动手实操的 lab,让学生体验通过电路从环境中收集信息并进行分析,作出预测和反馈。由于疫情的缘故,所有 lab 都有远程在线版,非常适合大家在家自学。

课程资源

  • 课程网站:EE16A, EE16B
  • 课程视频:B 站搜索
  • 课程教材:参见课程 notes
  • 课程作业:参见课程主页

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/EE16A - GitHub 中。


最后更新: September 6, 2022
Back to top
\ No newline at end of file diff --git a/电子基础/Signals_and_Systems_AVO/index.html b/电子基础/Signals_and_Systems_AVO/index.html index 2daadc81..5ddea3fc 100644 --- a/电子基础/Signals_and_Systems_AVO/index.html +++ b/电子基础/Signals_and_Systems_AVO/index.html @@ -1,2 +1,2 @@ - MIT 6.007 Signals and Systems - CS自学指南

MIT 6.007 Signals and Systems

课程简介

  • 所属大学:MIT
  • 先修要求:Calculus, Linear Algebra
  • 编程语言:Matlab Preferred
  • 课程难度:🌟🌟
  • 预计学时:50-70 小时

看到课程老师的名字:Prof. Alan V. Oppenheim

好的,上这门课的理由已经足够了。

课程资源


最后更新: April 3, 2022

MIT 6.007 Signals and Systems

课程简介

  • 所属大学:MIT
  • 先修要求:Calculus, Linear Algebra
  • 编程语言:Matlab Preferred
  • 课程难度:🌟🌟
  • 预计学时:50-70 小时

看到课程老师的名字:Prof. Alan V. Oppenheim

好的,上这门课的理由已经足够了。

课程资源


最后更新: April 3, 2022
Back to top
\ No newline at end of file diff --git a/电子基础/signal/index.html b/电子基础/signal/index.html index 587c9a6f..b370133b 100644 --- a/电子基础/signal/index.html +++ b/电子基础/signal/index.html @@ -1,2 +1,2 @@ - UCB EE120 : Signal and Systems - CS自学指南

UCB EE120: Signal and Systems

课程简介

  • 所属大学:UC Berkeley
  • 先修要求:CS61A, CS70,微积分,线性代数
  • 编程语言:Python
  • 课程难度:🌟🌟🌟🌟🌟
  • 预计学时:100 小时

这门课最精华的部分就是 6 个超有趣的编程作业了,会让你用 Python 通过学习到的信号与系统的理论知识,解决各类实际问题。例如 lab3 会让你实现 FFT 算法,并和 Numpy 的官方实现进行性能对比;lab4 会通过分析手指头的影像数据推断心率;lab5 就更牛了,会让你给哈勃望远镜拍到的照片进行降噪处理,恢复绚烂清晰的星空;lab6 会让你构造一个反馈系统,平衡小车上的细杆。

课程资源

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/UCB-EE120 - GitHub 中。


最后更新: September 6, 2022

UCB EE120: Signal and Systems

课程简介

  • 所属大学:UC Berkeley
  • 先修要求:CS61A, CS70,微积分,线性代数
  • 编程语言:Python
  • 课程难度:🌟🌟🌟🌟🌟
  • 预计学时:100 小时

这门课最精华的部分就是 6 个超有趣的编程作业了,会让你用 Python 通过学习到的信号与系统的理论知识,解决各类实际问题。例如 lab3 会让你实现 FFT 算法,并和 Numpy 的官方实现进行性能对比;lab4 会通过分析手指头的影像数据推断心率;lab5 就更牛了,会让你给哈勃望远镜拍到的照片进行降噪处理,恢复绚烂清晰的星空;lab6 会让你构造一个反馈系统,平衡小车上的细杆。

课程资源

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/UCB-EE120 - GitHub 中。


最后更新: September 6, 2022
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\ No newline at end of file diff --git a/程序语言设计/CS242/index.html b/程序语言设计/CS242/index.html index 71701c46..c20730f3 100644 --- a/程序语言设计/CS242/index.html +++ b/程序语言设计/CS242/index.html @@ -1,2 +1,2 @@ - CS242 - CS自学指南

CS242


最后更新: December 9, 2021

CS242


最后更新: December 9, 2021
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\ No newline at end of file diff --git a/系统安全/CS161/index.html b/系统安全/CS161/index.html index 4a1b67f1..f8e833c9 100644 --- a/系统安全/CS161/index.html +++ b/系统安全/CS161/index.html @@ -1,2 +1,2 @@ - UCB CS161: Computer Security - CS自学指南

UCB CS161: Computer Security

课程简介

  • 所属大学:UC Berkeley
  • 先修要求:CS61A, CS61B, CS61C
  • 编程语言:C, Go
  • 课程难度:🌟🌟🌟🌟🌟
  • 预计学时:150 小时

伯克利的计算机系统安全课程,课程内容分为5个部分:

  • Security principles: how to design a secure system
  • Memory safety: buffer overflow attack
  • Cryptography: symmetric encryption, asymmetric encryption, MAC, digital signature .........
  • Web: SQL-injection, XSS, XSRF .......
  • Networking: attacks for each layer

这门课让我印象最为深刻的部分是 Project2,让你用 Go 语言设计和实现一个安全的文件分享系统。我花了整整三天才完成了这个非常虐的 Project,总代码量超过 3k 行。在这样密集型的开发过程中,能极大地锻炼你设计和实现一个安全系统的能力。

2020 年夏季学期的版本开源了课程录影,大家可以在下面的课程网站链接里找到。

课程资源

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/UCB-CS161 - GitHub 中。


最后更新: September 6, 2022

UCB CS161: Computer Security

课程简介

  • 所属大学:UC Berkeley
  • 先修要求:CS61A, CS61B, CS61C
  • 编程语言:C, Go
  • 课程难度:🌟🌟🌟🌟🌟
  • 预计学时:150 小时

伯克利的计算机系统安全课程,课程内容分为5个部分:

  • Security principles: how to design a secure system
  • Memory safety: buffer overflow attack
  • Cryptography: symmetric encryption, asymmetric encryption, MAC, digital signature .........
  • Web: SQL-injection, XSS, XSRF .......
  • Networking: attacks for each layer

这门课让我印象最为深刻的部分是 Project2,让你用 Go 语言设计和实现一个安全的文件分享系统。我花了整整三天才完成了这个非常虐的 Project,总代码量超过 3k 行。在这样密集型的开发过程中,能极大地锻炼你设计和实现一个安全系统的能力。

2020 年夏季学期的版本开源了课程录影,大家可以在下面的课程网站链接里找到。

课程资源

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/UCB-CS161 - GitHub 中。


最后更新: September 6, 2022
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\ No newline at end of file diff --git a/系统安全/MIT6.858/index.html b/系统安全/MIT6.858/index.html index 6d6a921f..741df055 100644 --- a/系统安全/MIT6.858/index.html +++ b/系统安全/MIT6.858/index.html @@ -1,2 +1,2 @@ - MIT 6.858: Computer System Security - CS自学指南

MIT 6.858: Computer System Security

课程简介

  • 所属大学:MIT
  • 先修要求:计算机体系结构,对计算机系统有初步了解
  • 编程语言:C, Python
  • 课程难度:🌟🌟🌟🌟🌟
  • 预计学时:150 小时

MIT 的计算机系统安全课程,实验环境是一个 Web Application Zoobar。学生学习攻防技术并应用于该 Web Application。

  • Lab 1: you will explore the zoobar web application, and use buffer overflow attacks to break its security properties.
  • Lab 2: you will improve the zoobar web application by using privilege separation, so that if one component is compromised, the adversary doesn't get control over the whole web application.
  • Lab 3: you will build a program analysis tool based on symbolic execution to find bugs in Python code such as the zoobar web application.
  • Lab 4: you will improve the zoobar application against browser attacks.

这个课我主要是做了 Lab 3。Lab 3 是通过混合符号执行来遍历程序的所有分支,理解了符号执行的思想后 Lab 并不难做。这个 Lab 直观展示符号执行这种技术的使用方法。

这个课的 Final Project 是实现 SecFS,一个远端文件系统,面对完全不可信的服务器,提供机密性和完整性。参考论文为 SUNDR

课程资源


最后更新: April 3, 2022

MIT 6.858: Computer System Security

课程简介

  • 所属大学:MIT
  • 先修要求:计算机体系结构,对计算机系统有初步了解
  • 编程语言:C, Python
  • 课程难度:🌟🌟🌟🌟🌟
  • 预计学时:150 小时

MIT 的计算机系统安全课程,实验环境是一个 Web Application Zoobar。学生学习攻防技术并应用于该 Web Application。

  • Lab 1: you will explore the zoobar web application, and use buffer overflow attacks to break its security properties.
  • Lab 2: you will improve the zoobar web application by using privilege separation, so that if one component is compromised, the adversary doesn't get control over the whole web application.
  • Lab 3: you will build a program analysis tool based on symbolic execution to find bugs in Python code such as the zoobar web application.
  • Lab 4: you will improve the zoobar application against browser attacks.

这个课我主要是做了 Lab 3。Lab 3 是通过混合符号执行来遍历程序的所有分支,理解了符号执行的思想后 Lab 并不难做。这个 Lab 直观展示符号执行这种技术的使用方法。

这个课的 Final Project 是实现 SecFS,一个远端文件系统,面对完全不可信的服务器,提供机密性和完整性。参考论文为 SUNDR

课程资源


最后更新: April 3, 2022
Back to top
\ No newline at end of file diff --git a/编程入门/CS106B_CS106X/index.html b/编程入门/CS106B_CS106X/index.html index 6b76a523..c8704457 100644 --- a/编程入门/CS106B_CS106X/index.html +++ b/编程入门/CS106B_CS106X/index.html @@ -1,2 +1,2 @@ - Stanford CS106B/X - CS自学指南

Stanford CS106B/X: Programming Abstractions in C++

课程简介

  • 所属大学:Stanford
  • 先修要求:计算机基础 (CS50/CS106A/CS61A or equivalent)
  • 编程语言:C++
  • 课程难度:🌟🌟
  • 预计学时:50-70 小时

Stanford 的进阶编程课,CS106X 在难度和深度上会比 CS106B 有所提高,但主体内容类似。主要通过 C++ 语言让学生在实际的编程作业里培养通过编程抽象解决实际问题的能力,同时也会涉及一些简单的数据结构和算法的知识,但总体来说没有一门专门的数据结构课那么系统。

课程资源


最后更新: June 6, 2022

Stanford CS106B/X: Programming Abstractions in C++

课程简介

  • 所属大学:Stanford
  • 先修要求:计算机基础 (CS50/CS106A/CS61A or equivalent)
  • 编程语言:C++
  • 课程难度:🌟🌟
  • 预计学时:50-70 小时

Stanford 的进阶编程课,CS106X 在难度和深度上会比 CS106B 有所提高,但主体内容类似。主要通过 C++ 语言让学生在实际的编程作业里培养通过编程抽象解决实际问题的能力,同时也会涉及一些简单的数据结构和算法的知识,但总体来说没有一门专门的数据结构课那么系统。

课程资源


最后更新: June 6, 2022
Back to top
\ No newline at end of file diff --git a/编程入门/CS106L/index.html b/编程入门/CS106L/index.html index 60a44346..2038de66 100644 --- a/编程入门/CS106L/index.html +++ b/编程入门/CS106L/index.html @@ -1,2 +1,2 @@ - Stanford CS106L: Standard C++ Programming - CS自学指南

CS106L: Standard C++ Programming

课程简介

  • 所属大学:Stanford
  • 先修要求:最好掌握至少一门编程语言
  • 编程语言:C++
  • 课程难度:🌟🌟🌟
  • 预计学时:20 小时

我从大一开始一直都是写的 C++ 代码,直到学完这门课我才意识到,我写的 C++ 代码大概只是 C 语言 + cin/cout 而已。

这门课会深入到很多标准 C++ 的特性和语法,让你编写出高质量的 C++ 代码。例如 auto binding, uniform initialization, lambda function, move semantics,RAII 等技巧都在我此后的代码生涯中被反复用到,非常实用。

值得一提的是,这门课的作业里你会实现一个 HashMap(类似于 STL 中的 unordered_map), 这个作业几乎把整个课程串联了起来,非常考验代码能力。特别是 iterator 的实现,做完这个作业我开始理解为什么 Linus 对 C/C++ 嗤之以鼻了,因为真的很难写对。

总的来讲这门课并不难,但是信息量很大,需要你在之后的开发实践中反复巩固。Stanford 之所以单开一门 C++ 的编程课,是因为它后续的很多 CS 课程 Project 都是基于 C++的。例如 CS144 计算机网络和 CS143 编译器。这两门课在本书中均有收录。

课程资源

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/CS106L - GitHub 中。


最后更新: September 6, 2022

CS106L: Standard C++ Programming

课程简介

  • 所属大学:Stanford
  • 先修要求:最好掌握至少一门编程语言
  • 编程语言:C++
  • 课程难度:🌟🌟🌟
  • 预计学时:20 小时

我从大一开始一直都是写的 C++ 代码,直到学完这门课我才意识到,我写的 C++ 代码大概只是 C 语言 + cin/cout 而已。

这门课会深入到很多标准 C++ 的特性和语法,让你编写出高质量的 C++ 代码。例如 auto binding, uniform initialization, lambda function, move semantics,RAII 等技巧都在我此后的代码生涯中被反复用到,非常实用。

值得一提的是,这门课的作业里你会实现一个 HashMap(类似于 STL 中的 unordered_map), 这个作业几乎把整个课程串联了起来,非常考验代码能力。特别是 iterator 的实现,做完这个作业我开始理解为什么 Linus 对 C/C++ 嗤之以鼻了,因为真的很难写对。

总的来讲这门课并不难,但是信息量很大,需要你在之后的开发实践中反复巩固。Stanford 之所以单开一门 C++ 的编程课,是因为它后续的很多 CS 课程 Project 都是基于 C++的。例如 CS144 计算机网络和 CS143 编译器。这两门课在本书中均有收录。

课程资源

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/CS106L - GitHub 中。


最后更新: September 6, 2022
Back to top
\ No newline at end of file diff --git a/编程入门/CS110L/index.html b/编程入门/CS110L/index.html index 9c79f5ae..970ea273 100644 --- a/编程入门/CS110L/index.html +++ b/编程入门/CS110L/index.html @@ -1,2 +1,2 @@ - Stanford CS110L: Safety in Systems Programming - CS自学指南

CS110L: Safety in Systems Programming

课程简介

  • 所属大学:Stanford
  • 先修要求:最好有一定的编程背景并对计算机系统有初步的认识。
  • 编程语言:Rust
  • 课程难度:🌟🌟🌟
  • 预计学时:30 小时

在这门课中你将会学习 Rust 这门神奇的语言。

如果你学过 C 并接触过一些系统编程的话,应该对 C 的内存泄漏以及指针的危险有所耳闻,但 C 的底层特性以及高效仍然让它在系统级编程中无法被例如 Java 等自带垃圾收集机制的高级语言所替代。而 Rust 的目标则是希望在 C 的高效基础上,弥补其安全不足的缺点。因此 Rust 在设计之初,就有带有很多系统编程的观点。学习 Rust,也能让你之后能用 C 语言编写出更安全更优雅的系统级代码(例如操作系统等)。

这门课的后半部分关注在并发(concurrency)这一主题上,你将会系统地掌握多进程、多线程、基于事件驱动的并发等若干并发技术,并在第二个 Project 中比较它们各自的优劣。Rust 中 “futures” 的概念非常有趣和优雅,这些基础知识对你后续对计算机系统相关课程的学习很有帮助。另外,清华大学的操统实验 rCore 就是基于 Rust 编写的,具体参见文档

课程资源

  • 课程网站:https://reberhardt.com/cs110l/spring-2020/
  • 课程视频:https://youtu.be/j7AQrtLevUE
  • 课程教材:无
  • 课程作业:共 6 个 Lab 和 2 个 Project,作业文档和代码框架详见课程网站。其中两个 Project 非常有趣,分别是:
  • 用 Rust 实现一个类似于 GDB 的 debugger
  • 用 Rust 实现一个负载均衡器

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/CS110L - GitHub 中。


最后更新: September 6, 2022

CS110L: Safety in Systems Programming

课程简介

  • 所属大学:Stanford
  • 先修要求:最好有一定的编程背景并对计算机系统有初步的认识。
  • 编程语言:Rust
  • 课程难度:🌟🌟🌟
  • 预计学时:30 小时

在这门课中你将会学习 Rust 这门神奇的语言。

如果你学过 C 并接触过一些系统编程的话,应该对 C 的内存泄漏以及指针的危险有所耳闻,但 C 的底层特性以及高效仍然让它在系统级编程中无法被例如 Java 等自带垃圾收集机制的高级语言所替代。而 Rust 的目标则是希望在 C 的高效基础上,弥补其安全不足的缺点。因此 Rust 在设计之初,就有带有很多系统编程的观点。学习 Rust,也能让你之后能用 C 语言编写出更安全更优雅的系统级代码(例如操作系统等)。

这门课的后半部分关注在并发(concurrency)这一主题上,你将会系统地掌握多进程、多线程、基于事件驱动的并发等若干并发技术,并在第二个 Project 中比较它们各自的优劣。Rust 中 “futures” 的概念非常有趣和优雅,这些基础知识对你后续对计算机系统相关课程的学习很有帮助。另外,清华大学的操统实验 rCore 就是基于 Rust 编写的,具体参见文档

课程资源

  • 课程网站:https://reberhardt.com/cs110l/spring-2020/
  • 课程视频:https://youtu.be/j7AQrtLevUE
  • 课程教材:无
  • 课程作业:共 6 个 Lab 和 2 个 Project,作业文档和代码框架详见课程网站。其中两个 Project 非常有趣,分别是:
  • 用 Rust 实现一个类似于 GDB 的 debugger
  • 用 Rust 实现一个负载均衡器

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/CS110L - GitHub 中。


最后更新: September 6, 2022
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\ No newline at end of file diff --git a/编程入门/CS50/index.html b/编程入门/CS50/index.html index 9ef1c712..a8610d75 100644 --- a/编程入门/CS50/index.html +++ b/编程入门/CS50/index.html @@ -1,2 +1,2 @@ - Harvard CS50: This is CS50x - CS自学指南

CS50: This is CS50x

课程简介

  • 所属大学:Harvard
  • 先修要求:无
  • 编程语言:C, Python, SQL, HTML, CSS, JavaScript
  • 课程难度:🌟🌟
  • 预计学时:20 小时

连续多年被哈佛大学学生评为最受欢迎的公选课程。Malan 教授上课非常有激情,撕黄页讲二分法的场面让人记忆犹新(笑)。但因为它的入门以及全校公选的属性,课程内容难度比较温和,但是课程作业质量非常高而且全部免费开源,非常适合小白入门,或者大佬休闲。

课程资源


最后更新: April 6, 2022

CS50: This is CS50x

课程简介

  • 所属大学:Harvard
  • 先修要求:无
  • 编程语言:C, Python, SQL, HTML, CSS, JavaScript
  • 课程难度:🌟🌟
  • 预计学时:20 小时

连续多年被哈佛大学学生评为最受欢迎的公选课程。Malan 教授上课非常有激情,撕黄页讲二分法的场面让人记忆犹新(笑)。但因为它的入门以及全校公选的属性,课程内容难度比较温和,但是课程作业质量非常高而且全部免费开源,非常适合小白入门,或者大佬休闲。

课程资源


最后更新: April 6, 2022
Back to top
\ No newline at end of file diff --git a/编程入门/CS61A/index.html b/编程入门/CS61A/index.html index 027e5219..6e85633f 100644 --- a/编程入门/CS61A/index.html +++ b/编程入门/CS61A/index.html @@ -1,2 +1,2 @@ - UCB CS61A: Structure and Interpretation of Computer Programs - CS自学指南

CS61A: Structure and Interpretation of Computer Programs

课程简介

  • 所属大学:UC Berkeley
  • 先修要求:无
  • 编程语言:Python, Scheme, SQL
  • 课程难度:🌟🌟🌟
  • 预计学时:50 小时

伯克利 CS61 系列的第一门课程,也是我的 Python 入门课。

CS61 系列是伯克利 CS 专业的入门课,其中:

  • CS61A: 强调抽象,让学生掌握用程序来解决实际问题,而不关注底层的硬件细节。
  • CS61B: 注重算法与数据结构以及大规模程序的构建,学生会用 Java 语言结合算法与数据结构的知识来构建千行代码级别的大型项目(一个简易的谷歌地图,一个二维版的 Minecraft)。
  • CS61C: 关注计算机体系结构,让学生理解高级语言(例如 C)是如何一步步转换为机器可以理解的 01 串并在 CPU 执行的,学生将会学习 RISC-V 架构并自己用 Logism 实现一个 CPU。

CS61B 和 CS61C 在本书中均有收录。

回到 CS61A,注意这不仅仅是一门编程语言课,而是会深入到程序构造与运行的原理。最后你将在第 4 个 Project 中用 Python 实现一个 Scheme 的解释器。此外,抽象将是这门课的一大主题,你将学习到函数式编程、数据抽象、面向对象等等知识来让你的代码更易读,更模块化。当然,学习编程语言也是这门课的一大内容,你将会掌握 Python、Scheme 和 SQL 这三种编程语言,在它们的学习和比较中,相信你会拥有快速掌握一门新的编程语言的能力。

注意:如果此前完全没有编程基础,直接上手 CS61A 需要一定的学习能力和自律要求。为避免课程难度过高而导致的信心挫折,可以选择一个更为友好的入门编程课程。例如伯克利的 CS10 或者哈佛大学的 CS50

课程资源

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPic/CS61A - GitHub 中。


最后更新: September 6, 2022

CS61A: Structure and Interpretation of Computer Programs

课程简介

  • 所属大学:UC Berkeley
  • 先修要求:无
  • 编程语言:Python, Scheme, SQL
  • 课程难度:🌟🌟🌟
  • 预计学时:50 小时

伯克利 CS61 系列的第一门课程,也是我的 Python 入门课。

CS61 系列是伯克利 CS 专业的入门课,其中:

  • CS61A: 强调抽象,让学生掌握用程序来解决实际问题,而不关注底层的硬件细节。
  • CS61B: 注重算法与数据结构以及大规模程序的构建,学生会用 Java 语言结合算法与数据结构的知识来构建千行代码级别的大型项目(一个简易的谷歌地图,一个二维版的 Minecraft)。
  • CS61C: 关注计算机体系结构,让学生理解高级语言(例如 C)是如何一步步转换为机器可以理解的 01 串并在 CPU 执行的,学生将会学习 RISC-V 架构并自己用 Logism 实现一个 CPU。

CS61B 和 CS61C 在本书中均有收录。

回到 CS61A,注意这不仅仅是一门编程语言课,而是会深入到程序构造与运行的原理。最后你将在第 4 个 Project 中用 Python 实现一个 Scheme 的解释器。此外,抽象将是这门课的一大主题,你将学习到函数式编程、数据抽象、面向对象等等知识来让你的代码更易读,更模块化。当然,学习编程语言也是这门课的一大内容,你将会掌握 Python、Scheme 和 SQL 这三种编程语言,在它们的学习和比较中,相信你会拥有快速掌握一门新的编程语言的能力。

注意:如果此前完全没有编程基础,直接上手 CS61A 需要一定的学习能力和自律要求。为避免课程难度过高而导致的信心挫折,可以选择一个更为友好的入门编程课程。例如伯克利的 CS10 或者哈佛大学的 CS50

课程资源

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPic/CS61A - GitHub 中。


最后更新: September 6, 2022
Back to top
\ No newline at end of file diff --git a/编程入门/Duke-Coursera-Intro-C/index.html b/编程入门/Duke-Coursera-Intro-C/index.html index 9c3ddc5c..b39b8061 100644 --- a/编程入门/Duke-Coursera-Intro-C/index.html +++ b/编程入门/Duke-Coursera-Intro-C/index.html @@ -1,2 +1,2 @@ - Duke University: Introductory C Programming Specialization - CS自学指南

Introductory C Programming Specialization

课程简介

  • 所属大学:Duke
  • 先修要求:无
  • 编程语言:C
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:110 小时

非常好的课程,自我感觉收益非常大:

  • 侧重基础和基本概念:如 frame、stack memory、heap memory 等讲得很透。
  • 针对C最难掌握的指针,有好的练习和编程来加深和强化理解。
  • 非常好的 GDB,Valgrind 上手训练,作业也会涉及一些基本的 Git 练习。
  • 老师建议作业用 Emacs,所以对 Emacs 小白来说,是个不错的入门。如果你会用 Vim ,我建议你用 Evil 插件。这样你不会丢掉 Vim 的编辑功能,同时可以体会 Emacs 的强大。工具箱里同时有 Emacs 和 Vim 时,效率会有不少提高。Emacs 的 org-mode,和 GDB 的顺滑整合,等等等等,都会让你如虎添翼。
  • 虽然可能需要付费,但我觉得值。
  • Coursera 把这一大课分成了四个小课,但小课之间的作业文件的转移并不顺利。这是个有点讨厌的地方。幸运的是,后面的小课可以给以前小课的作业打分,所以我是接着把前面的作业又做了一遍。权当巩固,效果不错。
  • 虽说课名是入门,但兼具广度和深度。

课程资源

资源汇总

@haidongji 在学习这门课中的作业实现都汇总在 Duke Coursera Intro C 中。因为时间关系,我最后一课最后一周的几个作业到目前还没有完成。


最后更新: September 6, 2022

Introductory C Programming Specialization

课程简介

  • 所属大学:Duke
  • 先修要求:无
  • 编程语言:C
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:110 小时

非常好的课程,自我感觉收益非常大:

  • 侧重基础和基本概念:如 frame、stack memory、heap memory 等讲得很透。
  • 针对C最难掌握的指针,有好的练习和编程来加深和强化理解。
  • 非常好的 GDB,Valgrind 上手训练,作业也会涉及一些基本的 Git 练习。
  • 老师建议作业用 Emacs,所以对 Emacs 小白来说,是个不错的入门。如果你会用 Vim ,我建议你用 Evil 插件。这样你不会丢掉 Vim 的编辑功能,同时可以体会 Emacs 的强大。工具箱里同时有 Emacs 和 Vim 时,效率会有不少提高。Emacs 的 org-mode,和 GDB 的顺滑整合,等等等等,都会让你如虎添翼。
  • 虽然可能需要付费,但我觉得值。
  • Coursera 把这一大课分成了四个小课,但小课之间的作业文件的转移并不顺利。这是个有点讨厌的地方。幸运的是,后面的小课可以给以前小课的作业打分,所以我是接着把前面的作业又做了一遍。权当巩固,效果不错。
  • 虽说课名是入门,但兼具广度和深度。

课程资源

资源汇总

@haidongji 在学习这门课中的作业实现都汇总在 Duke Coursera Intro C 中。因为时间关系,我最后一课最后一周的几个作业到目前还没有完成。


最后更新: September 6, 2022
Back to top
\ No newline at end of file diff --git a/编程入门/MIT-Missing-Semester/index.html b/编程入门/MIT-Missing-Semester/index.html index 5196d8df..979e5f10 100644 --- a/编程入门/MIT-Missing-Semester/index.html +++ b/编程入门/MIT-Missing-Semester/index.html @@ -1,2 +1,2 @@ - MIT-Missing-Semester - CS自学指南

MIT-Missing-Semester

课程简介

  • 先修要求:无
  • 编程语言:shell
  • 课程难度:🌟🌟
  • 预计学时:10 小时

正如课程名字所言:“计算机教学中消失的一个学期”,这门课将会教会你许多大学的课堂上不会涉及但却对每个 CSer 无比重要的工具或者知识点。例如 Shell 编程、命令行配置、Git、Vim、tmuxssh 等等。如果你是一个计算机小白,那么我非常建议你学习一下这门课,因为它基本涉及了本书必学工具中的绝大部分内容。

除了 MIT 官方的学习资料外,北京大学图灵班开设的前沿计算实践中也开设了相关课程,资料位于这个网站下,供大家参考。

课程资源


最后更新: April 3, 2022

MIT-Missing-Semester

课程简介

  • 先修要求:无
  • 编程语言:shell
  • 课程难度:🌟🌟
  • 预计学时:10 小时

正如课程名字所言:“计算机教学中消失的一个学期”,这门课将会教会你许多大学的课堂上不会涉及但却对每个 CSer 无比重要的工具或者知识点。例如 Shell 编程、命令行配置、Git、Vim、tmuxssh 等等。如果你是一个计算机小白,那么我非常建议你学习一下这门课,因为它基本涉及了本书必学工具中的绝大部分内容。

除了 MIT 官方的学习资料外,北京大学图灵班开设的前沿计算实践中也开设了相关课程,资料位于这个网站下,供大家参考。

课程资源


最后更新: April 3, 2022
Back to top
\ No newline at end of file diff --git a/编译原理/6035/index.html b/编译原理/6035/index.html index 27fa792b..2562114d 100644 --- a/编译原理/6035/index.html +++ b/编译原理/6035/index.html @@ -1,2 +1,2 @@ - 6035 - CS自学指南

6035


最后更新: December 9, 2021

6035


最后更新: December 9, 2021
Back to top
\ No newline at end of file diff --git a/编译原理/CS143/index.html b/编译原理/CS143/index.html index 7d7754bf..1bc79776 100644 --- a/编译原理/CS143/index.html +++ b/编译原理/CS143/index.html @@ -1,2 +1,2 @@ - Stanford CS143: Compilers - CS自学指南

Stanford CS143: Compilers

课程简介

  • 所属大学:Stanford
  • 先修要求:计算机体系结构
  • 编程语言:Java 或 C++
  • 课程难度:🌟🌟🌟🌟🌟
  • 预计学时:150 小时

斯坦福的编译原理课程,设计者开发了一个 Class-Object-Oriented-Language,简称 COOL 语言。这门课的核心就是通过理论知识的学习,为 COOL 语言实现一个编译器,将 COOL 高级语言编译为 MIPS 汇编并在 Spim 这个 MIPS 模拟器上成功执行。

理论部分基本按照龙书的顺序覆盖了词法分析、语法分析、语义分析、运行时环境、寄存器分配、代码优化与生成等内容,实践部分则相应地分为词法分析、语法分析、语义分析、代码生成四个阶段,难度循序渐进,并在优化部分给学生留下了很大的设计空间。

课程资源

资源汇总

@skyzluo 在学习这门课中用到的所有资源和作业实现都汇总在 skyzluo/CS143-Compilers-Stanford - GitHub 中。


最后更新: September 6, 2022

Stanford CS143: Compilers

课程简介

  • 所属大学:Stanford
  • 先修要求:计算机体系结构
  • 编程语言:Java 或 C++
  • 课程难度:🌟🌟🌟🌟🌟
  • 预计学时:150 小时

斯坦福的编译原理课程,设计者开发了一个 Class-Object-Oriented-Language,简称 COOL 语言。这门课的核心就是通过理论知识的学习,为 COOL 语言实现一个编译器,将 COOL 高级语言编译为 MIPS 汇编并在 Spim 这个 MIPS 模拟器上成功执行。

理论部分基本按照龙书的顺序覆盖了词法分析、语法分析、语义分析、运行时环境、寄存器分配、代码优化与生成等内容,实践部分则相应地分为词法分析、语法分析、语义分析、代码生成四个阶段,难度循序渐进,并在优化部分给学生留下了很大的设计空间。

课程资源

资源汇总

@skyzluo 在学习这门课中用到的所有资源和作业实现都汇总在 skyzluo/CS143-Compilers-Stanford - GitHub 中。


最后更新: September 6, 2022
Back to top
\ No newline at end of file diff --git a/计算机图形学/CS148/index.html b/计算机图形学/CS148/index.html index 5b5a6604..adaab1d9 100644 --- a/计算机图形学/CS148/index.html +++ b/计算机图形学/CS148/index.html @@ -1,2 +1,2 @@ - Stanford CS148 - CS自学指南

Stanford CS148

课程简介

  • 所属大学:Stanford
  • 先修要求:线性代数,高等数学,Python
  • 编程语言:Python
  • 课程难度:🌟🌟🌟
  • 预计学时:40 小时

官方介绍:

这是一门计算机图形学的入门课程,这门课的一开始使用 Blender 去生成图像,并且理解底层的数学知识,包括三角形、法向量、插值、纹理映射、凹凸贴图等等。之后会介绍光线和颜色以及它们如何影响计算机的显示和打印。同时也会介绍 BRDF 以及一些基本的光照和着色模型。课程的最后,会涉及到光线追踪、反走样、加速结构等内容。

具体课程信息可以查看课程网站

这门课程比起 GAMES101 浅一些,编程语言使用的是 Python,对于不熟悉 C++ 的同学比较友好。

课程资源


最后更新: June 6, 2022

Stanford CS148

课程简介

  • 所属大学:Stanford
  • 先修要求:线性代数,高等数学,Python
  • 编程语言:Python
  • 课程难度:🌟🌟🌟
  • 预计学时:40 小时

官方介绍:

这是一门计算机图形学的入门课程,这门课的一开始使用 Blender 去生成图像,并且理解底层的数学知识,包括三角形、法向量、插值、纹理映射、凹凸贴图等等。之后会介绍光线和颜色以及它们如何影响计算机的显示和打印。同时也会介绍 BRDF 以及一些基本的光照和着色模型。课程的最后,会涉及到光线追踪、反走样、加速结构等内容。

具体课程信息可以查看课程网站

这门课程比起 GAMES101 浅一些,编程语言使用的是 Python,对于不熟悉 C++ 的同学比较友好。

课程资源


最后更新: June 6, 2022
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\ No newline at end of file diff --git a/计算机图形学/CS184/index.html b/计算机图形学/CS184/index.html index 412768e2..15498865 100644 --- a/计算机图形学/CS184/index.html +++ b/计算机图形学/CS184/index.html @@ -1,2 +1,2 @@ - CS184 - CS自学指南

CS184


最后更新: December 9, 2021

CS184


最后更新: December 9, 2021
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\ No newline at end of file diff --git a/计算机图形学/GAMES101/index.html b/计算机图形学/GAMES101/index.html index f88e2456..3db16525 100644 --- a/计算机图形学/GAMES101/index.html +++ b/计算机图形学/GAMES101/index.html @@ -1,2 +1,2 @@ - GAMES101 - CS自学指南

GAMES101

课程简介

  • 所属大学:UCSB
  • 先修要求:线性代数,高等数学,C++
  • 编程语言:C++
  • 课程难度:🌟🌟🌟
  • 预计学时:80 小时

官方介绍:

本课程将全面而系统地介绍现代计算机图形学的四大组成部分:(1)光栅化成像,(2)几何表示,(3)光的传播理论,以及(4)动画与模拟。每个方面都会从基础原理出发讲解到实际应用,并介绍前沿的理论研究。通过本课程,你可以学习到计算机图形学背后的数学和物理知识,并锻炼实际的编程能力。 作为入门,本课程会尽可能的覆盖图形学的方方面面,把每一部分的基本概念都尽可能说清楚,让大家对计算机图形学有一个完整的、自上而下的全局把握。全局的理解很重要,学完本课程后,你会了解到图形学不等于 OpenGL,不等于光线追踪,而是一套生成整个虚拟世界的方法。从本课程的标题,大家还可以看到“现代”二字,也就是说,这门课所要给大家介绍的都是现代化的知识,也都是现代图形学工业界需要的图形学基础。

GAMES101 是国内相当有名的图形学公开课。和大家印象中满是数学和算法的图形学不同,这门课以十分生动的方式带我们进入了图形学这个领域的大门。

每个project代码量都不会很多,但是却都十分有趣。在做这些project的过程中,我们会实现简单的光栅化,并渲染一个简易的模型,我们还会实现光线追踪,以追求渲染更好的质量。每个project中还有选做的拓展作业,可以让我们渲染的模型具有更好的质量,更快的渲染速度。

喜欢玩游戏的同学应该对实时光线追踪有一定的了解,这门课的老师闫令琪就对这一技术有直接的推动作用。

跟着课程的视频,做完每一个project,相信你会和我一样对图形学,以及现代的渲染技术产生浓厚的兴趣。

课程资源

资源汇总

@ysj1173886760 在学习这门课中用到的所有资源和作业实现都汇总在ysj1173886760/Learning: graphics/GAMES101 - GitHub 中。


最后更新: September 6, 2022

GAMES101

课程简介

  • 所属大学:UCSB
  • 先修要求:线性代数,高等数学,C++
  • 编程语言:C++
  • 课程难度:🌟🌟🌟
  • 预计学时:80 小时

官方介绍:

本课程将全面而系统地介绍现代计算机图形学的四大组成部分:(1)光栅化成像,(2)几何表示,(3)光的传播理论,以及(4)动画与模拟。每个方面都会从基础原理出发讲解到实际应用,并介绍前沿的理论研究。通过本课程,你可以学习到计算机图形学背后的数学和物理知识,并锻炼实际的编程能力。 作为入门,本课程会尽可能的覆盖图形学的方方面面,把每一部分的基本概念都尽可能说清楚,让大家对计算机图形学有一个完整的、自上而下的全局把握。全局的理解很重要,学完本课程后,你会了解到图形学不等于 OpenGL,不等于光线追踪,而是一套生成整个虚拟世界的方法。从本课程的标题,大家还可以看到“现代”二字,也就是说,这门课所要给大家介绍的都是现代化的知识,也都是现代图形学工业界需要的图形学基础。

GAMES101 是国内相当有名的图形学公开课。和大家印象中满是数学和算法的图形学不同,这门课以十分生动的方式带我们进入了图形学这个领域的大门。

每个project代码量都不会很多,但是却都十分有趣。在做这些project的过程中,我们会实现简单的光栅化,并渲染一个简易的模型,我们还会实现光线追踪,以追求渲染更好的质量。每个project中还有选做的拓展作业,可以让我们渲染的模型具有更好的质量,更快的渲染速度。

喜欢玩游戏的同学应该对实时光线追踪有一定的了解,这门课的老师闫令琪就对这一技术有直接的推动作用。

跟着课程的视频,做完每一个project,相信你会和我一样对图形学,以及现代的渲染技术产生浓厚的兴趣。

课程资源

资源汇总

@ysj1173886760 在学习这门课中用到的所有资源和作业实现都汇总在ysj1173886760/Learning: graphics/GAMES101 - GitHub 中。


最后更新: September 6, 2022
Back to top
\ No newline at end of file diff --git a/计算机图形学/GAMES103/index.html b/计算机图形学/GAMES103/index.html index edaf3ab2..c3972525 100644 --- a/计算机图形学/GAMES103/index.html +++ b/计算机图形学/GAMES103/index.html @@ -1,2 +1,2 @@ - GAMES103 - CS自学指南

GAMES103

课程简介

  • 所属大学:Style3D/OSU
  • 先修要求:线性代数,高等数学,大学物理,编程能力,基本图形知识
  • 编程语言:C#
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:50 小时

官方介绍:

本课程将作为基于物理的计算机动画技术入门,着重介绍各种基础的物理动画模拟技术。

该课程主要涵盖四个方向,分别为:1)刚体模拟;2)质点弹簧、约束与布料模拟;3)基于有限元的弹性体模拟;4)流体模拟。

本课程内容将不会涉及具体的物理模拟引擎,但会讨论各种引擎背后的技术,以及它们的优缺点等等。由于开发学习物理模拟需要一定的数学基础,课程初始阶段也会花一定的时间复习必备的数学知识。顺利完成课程之后,同学们应该会对基础的物理模拟技术有深入理解,对高级的模拟技术也会有部分接触。

图形学可粗略分为渲染、模拟、几何三个领域。GAMES101 和 GAMES202 主要以渲染为主,而对于物理模拟,GAMES103 则是很棒的学习资源。

课程资源

资源汇总

@indevn 在学习这门课中用到的所有资源和作业要求都汇总在 GAMES103 Unoffical 中。对于作业的具体实现,在知乎上有很多相关文章进行了细致讲解可以参考。


最后更新: September 6, 2022

GAMES103

课程简介

  • 所属大学:Style3D/OSU
  • 先修要求:线性代数,高等数学,大学物理,编程能力,基本图形知识
  • 编程语言:C#
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:50 小时

官方介绍:

本课程将作为基于物理的计算机动画技术入门,着重介绍各种基础的物理动画模拟技术。

该课程主要涵盖四个方向,分别为:1)刚体模拟;2)质点弹簧、约束与布料模拟;3)基于有限元的弹性体模拟;4)流体模拟。

本课程内容将不会涉及具体的物理模拟引擎,但会讨论各种引擎背后的技术,以及它们的优缺点等等。由于开发学习物理模拟需要一定的数学基础,课程初始阶段也会花一定的时间复习必备的数学知识。顺利完成课程之后,同学们应该会对基础的物理模拟技术有深入理解,对高级的模拟技术也会有部分接触。

图形学可粗略分为渲染、模拟、几何三个领域。GAMES101 和 GAMES202 主要以渲染为主,而对于物理模拟,GAMES103 则是很棒的学习资源。

课程资源

资源汇总

@indevn 在学习这门课中用到的所有资源和作业要求都汇总在 GAMES103 Unoffical 中。对于作业的具体实现,在知乎上有很多相关文章进行了细致讲解可以参考。


最后更新: September 6, 2022
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\ No newline at end of file diff --git a/计算机图形学/GAMES202/index.html b/计算机图形学/GAMES202/index.html index 041633d5..d4f32206 100644 --- a/计算机图形学/GAMES202/index.html +++ b/计算机图形学/GAMES202/index.html @@ -1,2 +1,2 @@ - GAMES202 - CS自学指南

GAMES202

课程简介

  • 所属大学:UCSB
  • 先修要求:线性代数,高等数学,C++,GAMES101
  • 编程语言:C++
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:60 小时

官方介绍:

本课程将全面地介绍现代实时渲染中的关键问题与解决方法。由于实时渲染 (>30 FPS) 对速度要求极高,因此本课程的关注点将是在苛刻的时间限制下,人们如何打破速度与质量之间的权衡,同时保证实时的高速度与照片级的真实感。

本课程将以专题的形式呈现,课程内容会覆盖学术界与工业界的前沿内容,包括:(1)实时软阴影的渲染;(2)环境光照;(3)基于预计算或无预计算的全局光照;(4)基于物理的着色模型与方法;(5)实时光线追踪;(6)抗锯齿与超采样;以及一些常见的加速方式等等。

除了最新最全的内容之外,本课程与其它任何实时渲染的教程还有一个重要的区别,那就是本课程不会讲授任何与游戏引擎的使用相关的内容,并且不会特别强调具体的着色器实现技术,而主要讲授实时渲染背后的科学与知识。本课程的目标是在你学习完这门课的时候,你将有深厚的功底去开发一个属于你自己的实时渲染引擎。

作为 GAMES101 的进阶课程,难度有一定的提升,但不会很大,相信完成了 GAMES101 的同学都有能力完成这门课程。每个 project 代码量都不会很多,但是都需要一定的思考。

课程资源


最后更新: May 11, 2022

GAMES202

课程简介

  • 所属大学:UCSB
  • 先修要求:线性代数,高等数学,C++,GAMES101
  • 编程语言:C++
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:60 小时

官方介绍:

本课程将全面地介绍现代实时渲染中的关键问题与解决方法。由于实时渲染 (>30 FPS) 对速度要求极高,因此本课程的关注点将是在苛刻的时间限制下,人们如何打破速度与质量之间的权衡,同时保证实时的高速度与照片级的真实感。

本课程将以专题的形式呈现,课程内容会覆盖学术界与工业界的前沿内容,包括:(1)实时软阴影的渲染;(2)环境光照;(3)基于预计算或无预计算的全局光照;(4)基于物理的着色模型与方法;(5)实时光线追踪;(6)抗锯齿与超采样;以及一些常见的加速方式等等。

除了最新最全的内容之外,本课程与其它任何实时渲染的教程还有一个重要的区别,那就是本课程不会讲授任何与游戏引擎的使用相关的内容,并且不会特别强调具体的着色器实现技术,而主要讲授实时渲染背后的科学与知识。本课程的目标是在你学习完这门课的时候,你将有深厚的功底去开发一个属于你自己的实时渲染引擎。

作为 GAMES101 的进阶课程,难度有一定的提升,但不会很大,相信完成了 GAMES101 的同学都有能力完成这门课程。每个 project 代码量都不会很多,但是都需要一定的思考。

课程资源


最后更新: May 11, 2022
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\ No newline at end of file diff --git a/计算机网络/CS144/index.html b/计算机网络/CS144/index.html index 0c30f67a..389dff89 100644 --- a/计算机网络/CS144/index.html +++ b/计算机网络/CS144/index.html @@ -1,2 +1,2 @@ - Stanford CS144: Computer Network - CS自学指南

CS144: Computer Network

课程简介

  • 所属大学:Stanford
  • 先修要求:一定的计算机系统基础,CS106L
  • 编程语言:C++
  • 课程难度:🌟🌟🌟🌟🌟
  • 预计学时:100 小时

这门课的主讲人之一是网络领域的巨擘 Nick McKeown 教授。这位拥有自己创业公司的学界业界双巨佬会在他慕课每一章节的最后采访一位业界的高管或者学界的高人,非常开阔眼界。

在这门课的 Project 中,你将用 C++ 循序渐进地搭建出整个 TCP/IP 协议栈,实现 IP 路由以及 ARP 协议,最后利用你自己的协议栈代替 Linux Kernel 的网络协议栈和其他学生的计算机进行通信,非常 amazing!

课程资源

资源汇总


最后更新: September 6, 2022

CS144: Computer Network

课程简介

  • 所属大学:Stanford
  • 先修要求:一定的计算机系统基础,CS106L
  • 编程语言:C++
  • 课程难度:🌟🌟🌟🌟🌟
  • 预计学时:100 小时

这门课的主讲人之一是网络领域的巨擘 Nick McKeown 教授。这位拥有自己创业公司的学界业界双巨佬会在他慕课每一章节的最后采访一位业界的高管或者学界的高人,非常开阔眼界。

在这门课的 Project 中,你将用 C++ 循序渐进地搭建出整个 TCP/IP 协议栈,实现 IP 路由以及 ARP 协议,最后利用你自己的协议栈代替 Linux Kernel 的网络协议栈和其他学生的计算机进行通信,非常 amazing!

课程资源

资源汇总


最后更新: September 6, 2022
Back to top
\ No newline at end of file diff --git a/计算机网络/topdown/index.html b/计算机网络/topdown/index.html index ebada07e..6bee5850 100644 --- a/计算机网络/topdown/index.html +++ b/计算机网络/topdown/index.html @@ -1,2 +1,2 @@ - Computer Networking: A Top-Down Approach - CS自学指南

Computer Networking: A Top-Down Approach

课程简介

  • 所属大学:马萨诸塞大学
  • 先修要求:有一定的计算机系统基础
  • 编程语言:无
  • 课程难度:🌟🌟🌟
  • 预计学时:40 小时

《自顶向下方法》是计算机网络领域的一本经典教材,两位作者 Jim Kurose 和 Keith Ross 精心制作了教材配套的课程网站,并且公开了自己录制的网课视频,交互式的在线章节测试,以及利用 WireShark 进行抓包分析的 lab。唯一遗憾的是这门课并没有硬核的编程作业,而 Stanford 的 CS144 能很好地弥补这一点。

课程资源

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/Computer-Network-A-Top-Down-Approach - GitHub 中。


最后更新: September 6, 2022

Computer Networking: A Top-Down Approach

课程简介

  • 所属大学:马萨诸塞大学
  • 先修要求:有一定的计算机系统基础
  • 编程语言:无
  • 课程难度:🌟🌟🌟
  • 预计学时:40 小时

《自顶向下方法》是计算机网络领域的一本经典教材,两位作者 Jim Kurose 和 Keith Ross 精心制作了教材配套的课程网站,并且公开了自己录制的网课视频,交互式的在线章节测试,以及利用 WireShark 进行抓包分析的 lab。唯一遗憾的是这门课并没有硬核的编程作业,而 Stanford 的 CS144 能很好地弥补这一点。

课程资源

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/Computer-Network-A-Top-Down-Approach - GitHub 中。


最后更新: September 6, 2022
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\ No newline at end of file diff --git a/计算机网络/topdown_ustc/index.html b/计算机网络/topdown_ustc/index.html index 8aed2199..30512aef 100644 --- a/计算机网络/topdown_ustc/index.html +++ b/计算机网络/topdown_ustc/index.html @@ -1,2 +1,2 @@ - USTC Computer Networking:A Top-Down Approach - CS自学指南

USTC Computer Networking:A Top-Down Approach

课程简介

  • 所属大学:中国科学技术大学
  • 授课教师:郑烇、杨坚
  • 先修要求:操作系统(非必需)
  • 编程语言:无
  • 课程难度:🌟🌟🌟
  • 预计学时:40 小时

这门课应该是中文互联网上比较火的计算机网络课了,教材采用神书计算机网络(自顶向下方法),授课风格更偏向实际而非纯理论(强烈建议先阅读教材预习再看课,否则上课时可能会有些懵圈)。

课程内容包括大部分自顶向下方法里的内容,同时涵盖考试内容,可放心观看。

课程视频是郑烇老师本人在哔哩哔哩上上传的,且从2020年至今一直坚持在评论区答疑,属实负责且认真。

课程资源


最后更新: September 6, 2022

USTC Computer Networking:A Top-Down Approach

课程简介

  • 所属大学:中国科学技术大学
  • 授课教师:郑烇、杨坚
  • 先修要求:操作系统(非必需)
  • 编程语言:无
  • 课程难度:🌟🌟🌟
  • 预计学时:40 小时

这门课应该是中文互联网上比较火的计算机网络课了,教材采用神书计算机网络(自顶向下方法),授课风格更偏向实际而非纯理论(强烈建议先阅读教材预习再看课,否则上课时可能会有些懵圈)。

课程内容包括大部分自顶向下方法里的内容,同时涵盖考试内容,可放心观看。

课程视频是郑烇老师本人在哔哩哔哩上上传的,且从2020年至今一直坚持在评论区答疑,属实负责且认真。

课程资源


最后更新: September 6, 2022
Back to top
\ No newline at end of file diff --git a/软件工程/6031/index.html b/软件工程/6031/index.html index 0861ca2a..57f34275 100644 --- a/软件工程/6031/index.html +++ b/软件工程/6031/index.html @@ -1,2 +1,2 @@ - MIT 6.031: Software Construction - CS自学指南

MIT 6.031: Software Construction

课程简介

  • 所属大学:MIT
  • 先修要求:掌握至少一门编程语言
  • 编程语言:Java
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:100 小时

这门课的目标就是让学生学会如何写出高质量的代码,所谓高质量,则是满足下面三个目标(课程设计者原话复制,以防自己翻译曲解本意):

Safe from bugs. Correctness (correct behavior right now) and defensiveness (correct behavior in the future) are required in any software we build.

Easy to understand. The code has to communicate to future programmers who need to understand it and make changes in it (fixing bugs or adding new features). That future programmer might be you, months or years from now. You’ll be surprised how much you forget if you don’t write it down, and how much it helps your own future self to have a good design.

Ready for change. Software always changes. Some designs make it easy to make changes; others require throwing away and rewriting a lot of code.

为此,这门课的设计者们精心编写了一本书来阐释诸多软件构建的核心原则与前人总结下来的宝贵经验,内容细节到如何编写注释和函数 Specification,如何设计抽象数据结构以及诸多并行编程的内容,并且会让你在精心设计的 Java 编程项目里体验和练习这些编程模式。

2016年春季学期这门课开源了其所有编程作业的代码框架,而最新的课程教材可以在其最新的教学网站上找到,具体链接参见下方。

课程资源

  • 课程网站:2021spring, 2016spring
  • 课程视频:无
  • 课程教材:参见课程网站的课程 notes
  • 课程作业:4 个编程作业 + 1 个 Project

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/MIT6.031-software-construction - GitHub 中。

@pengzhangzhi 完成了这门课的作业并记录了笔记, 代码开源在 pengzhangzhi/self-taught-CS/Software Construction - Github


最后更新: September 6, 2022

MIT 6.031: Software Construction

课程简介

  • 所属大学:MIT
  • 先修要求:掌握至少一门编程语言
  • 编程语言:Java
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:100 小时

这门课的目标就是让学生学会如何写出高质量的代码,所谓高质量,则是满足下面三个目标(课程设计者原话复制,以防自己翻译曲解本意):

Safe from bugs. Correctness (correct behavior right now) and defensiveness (correct behavior in the future) are required in any software we build.

Easy to understand. The code has to communicate to future programmers who need to understand it and make changes in it (fixing bugs or adding new features). That future programmer might be you, months or years from now. You’ll be surprised how much you forget if you don’t write it down, and how much it helps your own future self to have a good design.

Ready for change. Software always changes. Some designs make it easy to make changes; others require throwing away and rewriting a lot of code.

为此,这门课的设计者们精心编写了一本书来阐释诸多软件构建的核心原则与前人总结下来的宝贵经验,内容细节到如何编写注释和函数 Specification,如何设计抽象数据结构以及诸多并行编程的内容,并且会让你在精心设计的 Java 编程项目里体验和练习这些编程模式。

2016年春季学期这门课开源了其所有编程作业的代码框架,而最新的课程教材可以在其最新的教学网站上找到,具体链接参见下方。

课程资源

  • 课程网站:2021spring, 2016spring
  • 课程视频:无
  • 课程教材:参见课程网站的课程 notes
  • 课程作业:4 个编程作业 + 1 个 Project

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/MIT6.031-software-construction - GitHub 中。

@pengzhangzhi 完成了这门课的作业并记录了笔记, 代码开源在 pengzhangzhi/self-taught-CS/Software Construction - Github


最后更新: September 6, 2022
Back to top
\ No newline at end of file diff --git a/软件工程/CS169/index.html b/软件工程/CS169/index.html index 1fea6e02..a6ac5850 100644 --- a/软件工程/CS169/index.html +++ b/软件工程/CS169/index.html @@ -1,2 +1,2 @@ - UCB CS169: software engineering - CS自学指南

UCB CS169: software engineering

课程简介

  • 所属大学:UC Berkeley
  • 先修要求:无
  • 编程语言:Ruby/JavaScript
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:100 小时

伯克利的软件工程课程,不同于很多传统的软件工程课强调各种类图、文档设计 (plan and document 模式),这门课专注于最近逐渐流行起来的敏捷开发 (Agile Development)模式,利用云平台提供软件即服务 (software as a service)。为此,课程设计者编写了 Software as a service 这本教材,通过 Ruby/Rails 框架来阐释 SaaS 这个概念,并且有丰富的配套编程练习。

这门课在 Edx 这个由 MIT 和 Havard 大学发起的在线教育平台全资料开源,大家可以在 Edx 自行搜索 Agile SaaS Development 这门课程进行学习。课程内容基本按照教材的顺序带你一步步以敏捷开发的方式搭建一个软件并免费部署在云平台上。

课程资源

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/CS169-Software-Engineering - GitHub 中。


最后更新: September 6, 2022

UCB CS169: software engineering

课程简介

  • 所属大学:UC Berkeley
  • 先修要求:无
  • 编程语言:Ruby/JavaScript
  • 课程难度:🌟🌟🌟🌟
  • 预计学时:100 小时

伯克利的软件工程课程,不同于很多传统的软件工程课强调各种类图、文档设计 (plan and document 模式),这门课专注于最近逐渐流行起来的敏捷开发 (Agile Development)模式,利用云平台提供软件即服务 (software as a service)。为此,课程设计者编写了 Software as a service 这本教材,通过 Ruby/Rails 框架来阐释 SaaS 这个概念,并且有丰富的配套编程练习。

这门课在 Edx 这个由 MIT 和 Havard 大学发起的在线教育平台全资料开源,大家可以在 Edx 自行搜索 Agile SaaS Development 这门课程进行学习。课程内容基本按照教材的顺序带你一步步以敏捷开发的方式搭建一个软件并免费部署在云平台上。

课程资源

资源汇总

@PKUFlyingPig 在学习这门课中用到的所有资源和作业实现都汇总在 PKUFlyingPig/CS169-Software-Engineering - GitHub 中。


最后更新: September 6, 2022
Back to top
\ No newline at end of file