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<div align="center">
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<img src=./docs/images/title.png >
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</div>
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# CS 自学指南
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> *Everyone should enjoy CS if you have a good teacher to teach you a good course.*
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@ -24,10 +28,12 @@
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## 如何成为贡献者
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一个人的力量终究是有限的，对于书中任意章节你若有想要补充的内容，欢迎各位提出 [Pull Request](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/creating-a-pull-request-from-a-fork)。如果你想贡献一门新的课程，可以参考目前 repo 中的 [template](./template.md) 文件作为模版，并在 [mkdocs.yml](./mkdocs.yml) 文件中添加其navigation，当然你还可以在 [CS 学习规划](./docs/CS学习规划.md) 里的对应模块为其添加言简意赅的导语。
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一个人的力量终究是有限的，对于书中任意章节你若有想要补充的内容，欢迎各位提出 [Pull Request](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/creating-a-pull-request-from-a-fork)。如果你想贡献一门新的课程，可以参考目前 repo 中的 [template](./template.md) 文件作为模版，并在 [mkdocs.yml](./mkdocs.yml) 文件中添加其navigation，当然你还可以在 [CS 学习规划](./docs/CS学习规划.md) 里的对应模块为其添加言简意赅的导语。如果你有想推荐的书籍，请参考 [好书推荐](https://raw.githubusercontent.com/PKUFlyingPig/cs-self-learning/master/docs/%E5%A5%BD%E4%B9%A6%E6%8E%A8%E8%8D%90.md) 模块上方的注释按相应格式添加内容。
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对于中英混合排版的要点规范，可以参考[这个仓库](https://github.com/sparanoid/chinese-copywriting-guidelines/blob/master/README.zh-Hans.md)，我们将会对您的 Pull Request 做相应的校对，具体原因参见这个 [issue](https://github.com/PKUFlyingPig/cs-self-learning/issues/114)。
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本书的英文版也正在翻译中，如果你想参与到翻译的队伍里，可以参考这个 [issue](https://github.com/PKUFlyingPig/cs-self-learning/issues/222)。
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同时由于个人水平有限，书中难免有笔误甚至概念错误之处，也请各位不吝赐教，在 issue 中提出来。
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## 关于交流社区的建立
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@ -40,10 +46,11 @@
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## ✨ 鸣谢
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特别感谢 @[AlfredThiel](https://github.com/AlfredThiel) 为项目制作了精美的 Logo。
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<!-- support by https://contrib.rocks -->
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<a href="https://github.com/PKUFlyingPig/cs-self-learning/graphs/contributors">
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<img src="https://contrib.rocks/image?repo=PKUFlyingPig/cs-self-learning"/>
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</a>
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<!-- https://contrib.rocks -->
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## 许可
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106
docs/CS学习规划.md
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# 一个仅供参考的 CS 学习规划
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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。
|
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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。我在多年自学的尝试中也走过不少弯路，最终提炼出了下面的内容，供大家参考。
|
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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](https://www.bilibili.com/video/BV1EW411u7th)，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。
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@ -12,9 +12,9 @@
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[MIT-Missing-Semester](编程入门/MIT-Missing-Semester.md) 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。
|
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[翻墙](必学工具/翻墙.md)：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）。
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[翻墙](必学工具/翻墙.md)：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 99% 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）。
|
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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](https://github.com/jlevy/the-art-of-command-line/blob/master/README-zh.md)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](https://www.shellscript.sh/)。
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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](https://github.com/jlevy/the-art-of-command-line/blob/master/README-zh.md)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](https://www.shellscript.sh/)。
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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）。
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>
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> 实际上的开发 —— 配环境配几天还没开始写代码。
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推荐一个非常不错的 GitHub 项目 [DevOps-Guide](https://github.com/Tikam02/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。
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### PC 端环境配置
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如果你是 Mac 用户，那么你很幸运，这份[指南](https://sourabhbajaj.com/mac-setup/) 将会手把手地带你搭建起整套开发环境。如果你是 Windows 用户，可以参考这个相对简略的[教程](https://github.com/orlp/dev-on-windows/wiki)。
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另外大家可以参考一份灵感来自 [6.NULL MIT-Missing-Semester](编程入门/MIT-Missing-Semester.md) 的 [环境配置指南][guide]，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。
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[guide]: https://taylover2016.github.io/%E6%96%B0%E6%9C%BA%E5%99%A8%E4%B8%8A%E6%89%8B%E6%8C%87%E5%8D%97%EF%BC%88%E6%96%B0%E6%89%8B%E5%90%91%EF%BC%89/index.html
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More contents under construction.
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### 服务器端环境配置
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推荐一个非常不错的 GitHub 项目 [DevOps-Guide](https://github.com/Tikam02/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。
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## 课程地图
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以下课程类别中除了含有 *基础* 和 *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。
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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。
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### 数学基础
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#### 微积分与线性代数
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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。
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[UCB CS70 : discrete Math and probability theory](./数学进阶/CS70.md) 和 [UCB CS126 : Probability theory](./数学进阶/CS126.md) 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。
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[UCB CS70 : discrete Math and probability theory](./数学进阶/CS70.md) 和 [UCB CS126 : Probability theory](./数学进阶/CS126.md) 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。
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#### 数值分析
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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](./数学进阶/numerical.md)，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](https://fncbook.github.io/fnc/frontmatter.html)，里面附有丰富的 Julia 代码实例和严谨的公式推导。
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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][18.335] 供你参考。
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如果你还意犹未尽的话，还有 MIT 的数值分析研究生课程 [18.335: Introduction to numerical method][18.335] 供你参考。
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[18.335]: https://ocw.mit.edu/courses/mathematics/18-335j-introduction-to-numerical-methods-spring-2019/index.htm
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[MIT18.04]: https://ocw.mit.edu/courses/mathematics/18-04-complex-variables-with-applications-spring-2018/
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[MIT18.03: differential equations][MIT18.03]) 主要覆盖了常微分方程的求解，在此基础之上 [MIT18.152: Partial differential equations][MIT18.152]) 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。
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[MIT18.03: differential equations][MIT18.03] 主要覆盖了常微分方程的求解，在此基础之上 [MIT18.152: Partial differential equations][MIT18.152] 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力工具，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。
|
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[MIT18.03]: https://ocw.mit.edu/courses/mathematics/18-03sc-differential-equations-fall-2011/unit-i-first-order-differential-equations/
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[MIT18.152]: https://ocw.mit.edu/courses/mathematics/18-152-introduction-to-partial-differential-equations-fall-2011/index.htm
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#### Python
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- [Harvard CS50: This is CS50x](编程入门/CS50.md) 最好的计算机基础入门课，你绝对会爱上的。
|
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- [Harvard CS50: This is CS50x](编程入门/CS50.md)
|
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- [UCB CS61A: Structure and Interpretation of Computer Programs](编程入门/CS61A.md)
|
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|
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#### C++
|
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### 数据结构与算法
|
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|
||||
#### 数据结构与算法
|
||||
|
||||
- [UCB CS61B: Data Structures and Algorithms](数据结构与算法/CS61B.md)
|
||||
- [Coursera: Algorithms I & II](数据结构与算法/Algo.md)
|
||||
|
||||
#### 算法设计与分析
|
||||
|
||||
- [UCB CS170: Efficient Algorithms and Intractable Problems](数据结构与算法/CS170.md)
|
||||
算法是计算机科学的核心，也是几乎一切专业课程的基础。如何将实际问题通过数学抽象转化为算法问题，并选用合适的数据结构在时间和内存大小的限制下将其解决是算法课的永恒主题。如果你受够了老师的照本宣科，那么我强烈推荐伯克利的 [UCB CS61B: Data Structures and Algorithms](数据结构与算法/CS61B.md) 和普林斯顿的 [Coursera: Algorithms I & II](数据结构与算法/Algo.md)，这两门课的都讲得深入浅出并且会有丰富且有趣的编程实验将理论与知识结合起来。此外，对一些更高级的算法以及 NP 问题感兴趣的同学可以学习伯克利的算法设计与分析课程 [UCB CS170: Efficient Algorithms and Intractable Problems](数据结构与算法/CS170.md)。
|
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|
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### 软件工程
|
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@ -214,13 +209,15 @@ More contents under construction.
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### 操作系统
|
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|
||||
> 没有什么能比自己写个内核更能加深对操作系统的理解了。
|
||||
|
||||
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](操作系统/MIT6.S081.md)，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](操作系统/CS162.md)，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](https://pkuos.systems)。
|
||||
[UCB CS162: Operating System](操作系统/CS162.md)，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](https://https://pku-os.github.io/sp22/)。
|
||||
|
||||
[NJU: Operating System Design and Implementation](操作系统/NJUOS.md)，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
|
||||
[NJU: Operating System Design and Implementation](操作系统/NJUOS.md)，南京大学的蒋炎岩老师开设的操作系统课程。蒋老师以其独到的系统视角结合丰富的代码示例将众多操作系统的概念讲得深入浅出，此外这门课的全部课程内容都是中文的，非常方便大家学习。
|
||||
|
||||
### 并行与分布式系统
|
||||
|
||||
|
|
@ -238,52 +235,43 @@ More contents under construction.
|
|||
|
||||
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
|
||||
#### 理论课程
|
||||
|
||||
[UCB CS161: Computer Security](系统安全/CS161.md) 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
|
||||
#### 实践课程
|
||||
|
||||
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](https://ctf-wiki.org/)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](https://geekgame.pku.edu.cn/)，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：
|
||||
|
||||
- [CTF-wiki](https://ctf-wiki.org/)
|
||||
- [CTF-101](https://ctf101.org/)
|
||||
- [Hacker-101](https://ctf.hacker101.com/auth?error=0)
|
||||
- [Hacker-101](https://ctf.hacker101.com/)
|
||||
|
||||
### 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](计算机网络/topdown.md)。
|
||||
> 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。
|
||||
|
||||
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](计算机网络/CS144.md)，8 个 Project 带你实现整个协议栈。
|
||||
大名鼎鼎的 [Stanford CS144: Computer Network](计算机网络/CS144.md)，8 个 Project 带你实现整个 TCP/IP 协议栈。
|
||||
|
||||
如果你只是想在理论上对计算机网络有所了解，那么推荐计网著名教材《自顶向下方法》的配套学习资源 [Computer Networking: A Top-Down Approach](计算机网络/topdown.md)。
|
||||
|
||||
### 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。
|
||||
> 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 的著名数据库神课 [CMU 15-445: Introduction to Database System](数据库系统/15445.md) 会通过 4 个 Project 带你为一个用于教学的关系型数据库 [bustub](https://github.com/cmu-db/bustub) 添加各种功能。实验的评测框架也免费开源了，非常适合大家自学。此外课程实验会用到 C++11 的众多新特性，也是一个锻炼 C++ 代码能力的好机会。
|
||||
|
||||
[CMU 15-445: Introduction to Database System](数据库系统/15445.md)
|
||||
|
||||
#### Java版
|
||||
|
||||
[UCB CS186: Introduction to Database System](数据库系统/CS186.md)
|
||||
Berkeley 作为著名开源数据库 postgres 的发源地也不遑多让，[UCB CS186: Introduction to Database System](数据库系统/CS186.md) 会让你用 Java 语言实现一个支持 SQL 并发查询、B+ 树索引和故障恢复的关系型数据库。
|
||||
|
||||
### 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。
|
||||
> 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](编译原理/CS143.md)
|
||||
|
||||
### 计算机图形学
|
||||
|
||||
[Stanford CS148](计算机图形学/CS148.md)
|
||||
[Games101](计算机图形学/GAMES101.md)
|
||||
[Games103](计算机图形学/GAMES103.md)
|
||||
[Games202](计算机图形学/GAMES202.md)
|
||||
[Stanford CS143: Compilers](编译原理/CS143.md) 带你手写编译器。
|
||||
|
||||
### 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。
|
||||
前后端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
|
||||
|
||||
|
|
@ -293,37 +281,33 @@ More contents under construction.
|
|||
|
||||
[Stanford CS142: Web Applications](Web开发/CS142.md)
|
||||
|
||||
### 计算机图形学
|
||||
|
||||
- [Stanford CS148](计算机图形学/CS148.md)
|
||||
- [Games101](计算机图形学/GAMES101.md)
|
||||
- [Games103](计算机图形学/GAMES103.md)
|
||||
- [Games202](计算机图形学/GAMES202.md)
|
||||
|
||||
### 数据科学
|
||||
|
||||
[UCB Data100: Principles and Techniques of Data Science](数据科学/Data100.md)
|
||||
其实数据科学和机器学习与深度学习有着很紧密的联系，但可能更侧重于实践。Berkeley 的 [UCB Data100: Principles and Techniques of Data Science](数据科学/Data100.md) 通过丰富的编程练习让你在实践中掌握各类数据分析工具和算法，并带领你体验从海量的数据集中提取出想要的结果，并对未来的数据或用户的行为做出相应的预测。但这只是一门基础课，如果想学习工业级别的数据挖掘与分析技术，可以尝试 Stanford 的大数据挖掘课程 [CS246: Mining Massive Data Sets](https://web.stanford.edu/class/cs246/)。
|
||||
|
||||
### 人工智能
|
||||
|
||||
#### 入门课
|
||||
|
||||
[Harvard CS50’s Introduction to AI with Python](人工智能/CS50.md)
|
||||
|
||||
#### 专业课
|
||||
|
||||
[UCB CS188: Introduction to Artificial Intelligence](人工智能/CS188.md)
|
||||
近十年人工智能应该算是计算机界最火爆的领域。如果你不满足于整日听各路媒体争相报道人工智能相关的进展，而想真正一探究竟，那么非常推荐学习 Harvard 神课 CS50 系列的人工智能课程 [Harvard CS50: Introduction to AI with Python](人工智能/CS50.md)。课程短小精悍，覆盖了传统人工智能领域的几大分支，并配有丰富有趣的 Python 编程练习来巩固你对人工智能算法的理解。美中不足的是这门课因为面向在线自学者的缘故内容较为精简，并且不会涉及特别深入的数学理论，如果想要系统深入地学习还需要一门本科生难度的课程，例如 Berkeley 的
|
||||
[UCB CS188: Introduction to Artificial Intelligence](人工智能/CS188.md)。这门课的 Project 复刻了经典游戏糖豆人，让你运用人工智能算法玩游戏，非常有趣。
|
||||
|
||||
### 机器学习
|
||||
|
||||
#### 入门课
|
||||
机器学习领域近些年最重要的进展就是发展出了基于神经网络的深度学习分支，但其实很多基于统计学习的算法依然在数据分析领域有着广泛的应用。如果你之前从未接触过机器学习的相关知识，而且不想一开始就陷入艰深晦涩的数学证明，那么不妨先从 Andrew Ng （吴恩达）的 [Coursera: Machine Learning](机器学习/ML.md) 学起。这门课在机器学习领域基本无人不晓，吴恩达以其深厚的理论功底和出色的表达能力把很多艰深的算法讲得深入浅出，并且非常实用。其配套的作业也是质量相当上乘，可以帮助你快速入门。
|
||||
|
||||
[Coursera: Machine Learning](机器学习/ML.md)
|
||||
|
||||
#### 专业课
|
||||
|
||||
- [Stanford CS229: Machine Learning](机器学习/CS229.md)
|
||||
- [UCB CS189: Introduction to Machine Learning](机器学习/CS189.md)
|
||||
但上过这门课只能让你从宏观上对机器学习这一领域有一定了解，如果想真正理解那些“神奇”算法背后的数学原理甚至从事相关领域的科研工作，那么还需要一门更“数学”的课程，例如 [Stanford CS229: Machine Learning](机器学习/CS229.md) 或者 [UCB CS189: Introduction to Machine Learning](机器学习/CS189.md)。
|
||||
|
||||
### 深度学习
|
||||
|
||||
#### 入门课
|
||||
前几年 AlphaGo 的大热让深度学习进入了大众的视野，不少大学甚至专门成立了相关专业。很多计算机的其他领域也会借助深度学习的技术来做研究，因此基本不管你干啥多少都会接触到一些神经网络、深度学习相关的技术需求。如果想快速入门，同样推荐 Andrew Ng （吴恩达）的 [Coursera: Deep Learning](深度学习/CS230.md)，质量无需多言，Coursera 上罕见的满分课程。此外如果你觉得英文课程学习起来有难度，推荐李宏毅老师的 [国立台湾大学：机器学习](深度学习/LHY.md) 课程。这门课打着机器学习的名号，却囊括了深度学习领域的几乎所有方向，非常全面，很适合你从宏观上对这个领域有一个大致的了解。而且老师本人也非常幽默，课堂金句频出。
|
||||
|
||||
- [Coursera: Deep Learning](深度学习/CS230.md)
|
||||
- [国立台湾大学：李宏毅机器学习](深度学习/LHY.md)
|
||||
当然因为深度学习领域发展非常迅速，已经拥有了众多研究分支，如果想要进一步深入，可以按需学习下面罗列的代表课程，
|
||||
|
||||
#### 计算机视觉
|
||||
|
||||
|
|
|
|||
17
docs/Web开发/CS142.en.md
Normal file
17
docs/Web开发/CS142.en.md
Normal file
|
|
@ -0,0 +1,17 @@
|
|||
# Stanford CS142: Web Applications
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: Stanford
|
||||
- Prerequisites: CS107 and CS108
|
||||
- Programming Languages: JavaScript/HTML/CSS
|
||||
- Difficulty: 🌟🌟🌟🌟
|
||||
- Class Hour: 100 hours
|
||||
|
||||
This is Stanford's Web Application course covers HTML, CSS, JavaScript, ReactJs, NodeJS, ExpressJS, Web Security, and more. Eight projects will enhance your web development skills in practice.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <https://web.stanford.edu/class/cs142/index.html>
|
||||
- Recordings: <https://web.stanford.edu/class/cs142/lectures.html>
|
||||
- Assignments: <https://web.stanford.edu/class/cs142/projects.html>
|
||||
19
docs/Web开发/fullstackopen.en.md
Normal file
19
docs/Web开发/fullstackopen.en.md
Normal file
|
|
@ -0,0 +1,19 @@
|
|||
# University of Helsinki: Full Stack open 2022
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: University of Helsinki
|
||||
- Prerequisites: Good programming skills, basic knowledge of web programming and databases, and have mastery of the Git version management system.
|
||||
- Programming Languages: JavaScript/HTML/CSS/NoSQL/SQL
|
||||
- Difficulty: 🌟🌟
|
||||
- Class Hour: Varying according to the learner
|
||||
|
||||
This course serves as an introduction to modern web application development with JavaScript. The main focus is on building single page applications with ReactJS that use REST APIs built with Node.js. The course also contains a section on GraphQL, a modern alternative to REST APIs.
|
||||
|
||||
The course covers testing, configuration and environment management, and the use of MongoDB for storing the application’s data.
|
||||
|
||||
## Resources
|
||||
- Course Website: <https://fullstackopen.com/en/>
|
||||
- Assignments: refer to the course website
|
||||
- Course group on Discord: <https://study.cs.helsinki.fi/discord/join/fullstack/>
|
||||
- Course group on Telegram: <https://t.me/fullstackcourse/>
|
||||
20
docs/Web开发/fullstackopen.md
Normal file
20
docs/Web开发/fullstackopen.md
Normal file
|
|
@ -0,0 +1,20 @@
|
|||
# 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
|
||||
|
||||
- 课程网站：<https://fullstackopen.com/zh/>
|
||||
- 课程作业：参见课程网站
|
||||
- 课程 Discord 群组：<https://study.cs.helsinki.fi/discord/join/fullstack/>
|
||||
- 课程 Telegram 群组：<https://t.me/fullstackcourse/>
|
||||
19
docs/Web开发/mitweb.en.md
Normal file
19
docs/Web开发/mitweb.en.md
Normal file
|
|
@ -0,0 +1,19 @@
|
|||
# MIT Web Development Crash Course
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: MIT
|
||||
- Prerequisites: better if you are already proficient in a programming language
|
||||
- Programming Languages: JavaScript/HTML/CSS/NoSQL
|
||||
- Difficulty: 🌟🌟🌟
|
||||
- Class Hour: Varying according to the learner
|
||||
|
||||
[Independent Activities Period](https://elo.mit.edu/iap/) (IAP) is a four-week period in January during which faculty and students are freed from the rigors of regularly scheduled classes for flexible teaching and learning and for independent study and research, and that's how this web development course was born.
|
||||
|
||||
Within a month, you will master the core content of designing, building, beautifying, and publishing a website from scratch, basically covering full-stack web development. If you don't need to learn web development systematically, but just want to add it to your toolkit out of interest, then this class will be perfect for you.
|
||||
|
||||
## Resources
|
||||
|
||||
- Course Website: <https://weblab.mit.edu/schedule/>
|
||||
- Recordings: refer to the course website
|
||||
- Assignments: refer to the course website
|
||||
BIN
docs/images/favicon16x16.png
Normal file
BIN
docs/images/favicon16x16.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 963 B |
BIN
docs/images/logo.png
Normal file
BIN
docs/images/logo.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 111 KiB |
BIN
docs/images/title.png
Normal file
BIN
docs/images/title.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 245 KiB |
86
docs/index.en.md
Normal file
86
docs/index.en.md
Normal file
|
|
@ -0,0 +1,86 @@
|
|||
<figure markdown>
|
||||
{ width="600" }
|
||||
</figure>
|
||||
|
||||
# Foreword
|
||||
|
||||
**The English version is still under development, please check [this issue](https://github.com/PKUFlyingPig/cs-self-learning/issues/222) if you want to contribute.**
|
||||
|
||||
This is a self-learning guide to computer science, and a memento of my three years of self-learning at university.
|
||||
|
||||
It is also a gift to the young students at Peking University. It would be a great encouragement and comfort to me if this book could be of even the slightest help to you in your college life.
|
||||
|
||||
The book is currently organized to include the following sections (if you have other good suggestions, or would like to join the ranks of contributors, please feel free to email [zhongyinmin@pku.edu.cn](mailto:zhongyinmin@pku.edu.cn) or ask questions in the issue).
|
||||
|
||||
- Productivity Toolkit: IDE, VPN, StackOverflow, Git, Github, Vim, Latex, GNU Make and so on.
|
||||
- Environment configuration: PC/Server development environment setup, DevOps tutorials and so on.
|
||||
- Book recommendations: Those who have read the CSAPP must have realized the importance of good books. I will list links to books and resources in different areas of Computer Science that I find rewarding to read.
|
||||
- **List of high quality CS courses**: I will summarize all the high quality foreign CS courses I have taken into different categories and give relevant self-learning advice. Most of them will have a separate repository containing relevant resources as well as my homework/project implementations.
|
||||
|
||||
## The place where dreams start —— CS61A
|
||||
|
||||
In my freshman year, I was a novice who knew nothing about computers. I installed a giant IDE Visual Studio and fight with OJ every day. With my high school maths background, I did pretty well in maths courses, but I felt struggled to learn courses in my major. When it came to programming, all I could do was open up that clunky IDE, create a new project that I didn't know exactly what it was for, and then `cin`, `cout`, `for` loops, and then CE, RE, WA loops. I was in a state where I was desperately trying to learn well but I didn't know how to learn. I listened carefully in class but I couldn't solve the homework problems. I spent almost all my spare time doing the homework after class, but the results were disappointing. I still retain the source code of the project for Introduction to Computing course —— a single 1200-line C++ file with no header files, no class abstraction, no unit tests, no makefile, no version control. The only good thing is that it can run, the disadvantage is the complement of "can run". For a while I wondered if I wasn't cut out for computer science, as all my childhood imaginings of geekiness had been completely ruined by my first semester's experience.
|
||||
|
||||
It all turned around during the winter break of my freshman year, when I had a hankering to learn Python. I overheard someone recommend CS61A, a freshman introductory course at UC Berkeley on Python. I'll never forget that day, when I opened the [CS61A](https://cs61a.org/) course website. It was like Columbus discovering a new continent, and I opened the door to a new world.
|
||||
|
||||
I finished the course in 3 weeks and for the first time I felt that CS could be so fulfilling and interesting, and I was shocked that there existed such a great course in the world.
|
||||
|
||||
To avoid any suspicion of pandering to foreign courses, I will tell you about my experience of studying CS61A from the perspective of a pure student.
|
||||
|
||||
- ***Course website developed by course staffs***: The course website integrates all the course resources into one, with a well organised course schedule, links to all slides, recorded videos and homework, detailed and clear syllabus, list of exams and solutions from previous years. Aesthetics aside, this website is so convenient for students.
|
||||
|
||||
- ***Textbook written by course instructor***: The course instructor has adapted the classic MIT textbook *Structure and Interpretation of Computer Programs* (SICP) into Python (the original textbook was based on Scheme). This is a great way to ensure that the classroom content is consistent with the textbook, while adding more details. The entire book is open source and can be read directly online.
|
||||
|
||||
- ***Various, comprehensive and interesting homework***: There are 14 labs to reinforce the knowledge gained in class, 10 homework assignments to practice, and 4 projects each with thousands of lines of code, all with well-organized skeleton code and babysitting instructions. Unlike the old-school OJ and Word document assignments, each lab/homework/project has a detailed handout document, fully automated grading scripts, and CS61A staffs have even developed an [automated assignment submission and grading system](https://okpy.org/). Of course, one might say "How much can you learn from a project where most of code are written by your teaching assistants?" . For someone who is new to CS and even stumbling over installing Python, this well-developed skeleton code allows students to focus on reinforcing the core knowledge they've learned in class, but also gives them a sense of achievement that they already can make a little game despite of learning Python only for a month. It also gives them the opportunity to read and learn from other people's high quality code so that they can reuse it later. I think in the freshman year, this kind of skeleton code is absolutely beneficial. The only bad thing perhaps is for the instructors and teaching assistants, as developing such assignments can conceivably require a considerable time commitment.
|
||||
|
||||
- ***Weekly discussion sessions***: The teaching assistants will explain the difficult knowledge in class and add some supplementary materials which may not be covered in class. Also, there will be exercises from exams of previous years. All the exercises are written in LaTeX with solutions.
|
||||
|
||||
In CS61A, You don't need any prerequesites about CS at all. You just need to pay attention, spend time and work hard. The feeling that you do not know what to do, that you are not getting anything in return for all the time you put in, is gone. It suited me so well that I fell in love with self-learning.
|
||||
|
||||
Imagine that if someone could chew up the hard knowledge and present it to you in a vivid and straightforward way, with so many fancy and varied projects to reinforce your theoretical knowledge, you'd think they were really trying their best to make you fully grasp the course, and it was even an insult to the course builders not to learn it well.
|
||||
|
||||
If you think I'm exaggerating, start with [CS61A](https://cs61a.org/), because it's where my dreams began.
|
||||
|
||||
## Why write this book?
|
||||
|
||||
In the 2020 Fall semester, I worked as a teaching assistant for the class Introduction to Computer Systems at Peking University. At that time, I had been studying totally on my own for over a year. I enjoyed this style of learning immensely. To share this joy, I have made a [CS Self-learning Materials List](https://github.com/PKUFlyingPig/Self-learning-Computer-Science) for students in my seminar. It was purely on a whim at the time, as I wouldn't dare to encourage my students to skip classes and study on their own.
|
||||
|
||||
But after another year of maintenance, the list has become quite comprehensive, covering most of the courses in Computer Science, Artificial Intelligence and Soft Engineering, and I have built separate repositories for each course, summarising the self-learning materials that I used.
|
||||
|
||||
In my last college year, when I opened up my curriculum book, I realized that it was already a subset of my self-learning list. By then, it was only two and a half years after I had started my self-learning journey. Then, a bold idea came to my mind: perhaps I could create a self-learning book, write down the difficulty I encountered and the interest I found during these years of self-learning, hoping to make it easy for students who may also enjoy self-learning to start their wonderful self-learning journey.
|
||||
|
||||
If you can build up the whole CS foundation in less than three years, have relatively solid mathematical skills and coding ability, experience dozens of projects with thousands of lines of code, master at least C/C++/Java/JS/Python/Go/Rust and other mainstream programming languages, have a good understanding of algorithms, circuits, architectures, networks, operating systems, compilers, artificial intelligence, machine learning, computer vision, natural language processing, reinforcement learning, cryptography, information theory, game theory, numerical analysis, statistics, distributed systems, parallel computing, database systems, computer graphics, web development, cloud computing, supercomputing etc. I think you will be confident enough to choose the area you are interested in, and you will be quite competitive in both industry and academia.
|
||||
|
||||
I firmly believe that if you have read to this line, you do not lack the ability and committment to learn CS well, you just need a good teacher to teach you a good course. And I will try my best to pick such courses for you, based on my three years of experience.
|
||||
|
||||
## Pros
|
||||
|
||||
For me, the biggest advantage of self-learning is that I can adjust the pace of learning entirely according to my own progress. For difficult parts, I can watch the videos over and over again, Google it online and ask questions on StackOverflow until I have it all figured out. For those that I mastered relatively quickly, I could skip them at twice or even three times the speed.
|
||||
|
||||
Another great thing about self-learning is that you can learn from different perspectives. I have taken core courses such as architectures, networking, operating systems, and compilers from different universities. Different instructors may have different views on the same knowledge, which will broaden your horizon.
|
||||
|
||||
A third advantage of self-learning is that you do not need to go to the class, listening to the boring lectures.
|
||||
|
||||
## Cons
|
||||
|
||||
Of course, as a big fan of self-learning, I have to admit that it has its disadvantages.
|
||||
|
||||
The first is the difficulty of communication. I'm actually a very keen questioner, and I like to follow up all the points I don't understand. But when you're facing a screen and you hear a teacher talking about something you don't understand, you can't go to the other end of the network and ask him or her for clarification. I try to mitigate this by thinking independently and making good use of Google, but it would be great to have a few friends to study together. You can refer to `README` for more information on participating a community group.
|
||||
|
||||
The second thing is that these courses are basically in English. From the videos to the slides to the assignments, all in English. You may struggle at first, but I think it's a challenge that if you overcome, it will be extremely rewarding. Because at the moment, as reluctant as I am, I have to admit that in computer science, a lot of high quality documentation, forums and websites are all in English.
|
||||
|
||||
The third, and I think the most difficult one, is self-discipline. Because have no DDL can sometimes be a really scary thing, especially when you get deeper, many foreign courses are quite difficult. You have to be self-driven enough to force yourself to settle down, read dozens of pages of Project Handout, understand thousands of lines of skeleton code and endure hours of debugging time. With no credits, no grades, no teachers, no classmates, just one belief - that you are getting better.
|
||||
|
||||
## Who is this book for?
|
||||
|
||||
As I said in the beginning, anyone who is interested in learning computer science on their own can refer to this book. If you already have some basic skills and are just interested in a particular area, you can selectively pick and choose what you are interested in to study. Of course, if you are a novice who knows nothing about computers like I did back then, and just begin your college journey, I hope this book will be your cheat sheet to get the knowledge and skills you need in the least amount of time. In a way, this book is more like a course search engine ordered according to my experience, helping you to learn high quality CS courses from the world's top universities without leaving home.
|
||||
|
||||
Of course, as an undergraduate student who has not yet graduated, I feel that I am not in a position nor have the right to preach one way of learning. I just hope that this material will help those who are also self-motivated and persistent to gain a richer, more varied and satisfying college life.
|
||||
|
||||
## Special thanks
|
||||
|
||||
I would like to express my sincere gratitude to all the professors who have made their courses public for free. These courses are the culmination of decades of their teaching careers, and they have chosen to selflessly make such a high quality CS education available to all. Without them, my university life would not have been as fulfilling and enjoyable. Many of the professors would even reply with hundreds of words in length after I had sent them a thank you email, which really touched me beyond words. They also inspired me all the time that if decide to do something, do it with all heart and soul.
|
||||
|
||||
## Want to join as a contributor?
|
||||
|
||||
There is a limit to how much one person can do, and this book was written by me under a heavy research schedule, so there are inevitably imperfections. In addition, as I work in the area of systems, many of the courses focus on systems, and there is relatively little content related to advanced mathematics, computing theory, and advanced algorithms. If any of you would like to share your self-learning experience and resources in other areas, you can directly initiate a Pull Request in the project, or feel free to contact me by email ([zhongyinmin@pku.edu.cn](mailto:zhongyinmin@pku.edu.cn)).
|
||||
|
|
@ -1,17 +1,23 @@
|
|||
<figure markdown>
|
||||
{ width="600" }
|
||||
</figure>
|
||||
|
||||
# 前言
|
||||
|
||||
**最近更新：增加南京大学[操作系统课程](操作系统/NJUOS.md)，增加毕业论文[写作教程](必学工具/thesis.md) ～**
|
||||
**最近更新：英文版正在[建设中](https://github.com/PKUFlyingPig/cs-self-learning/issues/222)，增加陈天奇[机器学习编译](机器学习系统/MLC.md)，增加 CMU [机器学习系统](机器学习系统/CMU10-414.md), 增加 [学习工作流](必学工具/workflow.md)**
|
||||
<!-- **最近更新：增加[Caltech CS 122: Database System Implementation](./数据库系统/CS122.md) ，重新整理[好书推荐](./%E5%A5%BD%E4%B9%A6%E6%8E%A8%E8%8D%90.md)模块 ~** -->
|
||||
<!-- **最近更新：增加南京大学[操作系统课程](操作系统/NJUOS.md)，增加毕业论文[写作教程](必学工具/thesis.md) ～** -->
|
||||
|
||||
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](mailto:zhongyinmin@pku.edu.cn) 或者在 issue 里提问)：
|
||||
本书目前包括了以下部分(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](mailto: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 ...
|
||||
- 环境配置：PC端以及服务器端开发环境配置、各类运维相关教材及资料 ...
|
||||
- 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。
|
||||
- **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。
|
||||
|
||||
## 梦开始的地方 —— CS61A
|
||||
|
||||
|
|
|
|||
|
|
@ -19,4 +19,4 @@
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我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](https://github.com/PKUFlyingPig/cs50_ai) 中。
|
||||
@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](https://github.com/PKUFlyingPig/cs50_ai) 中。
|
||||
|
|
|
|||
|
|
@ -10,7 +10,15 @@
|
|||
|
||||
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（比如我们这里）。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。
|
||||
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](https://github.com/ysj1173886760/PyToy)。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
|
||||
|
||||
|
|
@ -23,12 +31,4 @@
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我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](https://github.com/ysj1173886760/Learning/tree/master/ai-system) 中。
|
||||
|
||||
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](https://github.com/ysj1173886760/PyToy)。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。
|
||||
@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](https://github.com/ysj1173886760/Learning/tree/master/ai-system) 中。
|
||||
|
|
|
|||
26
docs/体系结构/CS61C.en.md
Normal file
26
docs/体系结构/CS61C.en.md
Normal file
|
|
@ -0,0 +1,26 @@
|
|||
# CS61C: Great Ideas in Computer Architecture
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: UC Berkeley
|
||||
- Prerequisites: CS61A, CS61B
|
||||
- Programming Languages: C
|
||||
- Difficulty: 🌟🌟🌟🌟
|
||||
- Class Hour: 100 hours
|
||||
|
||||
This is the last course in Berkeley's CS61 series, which dives into the internal of computer architecture and will make you understand how the C language is translated into RISC-V assembly language and executed on the CPU. Unlike [Nand2Tetris](https://github.com/PKUFlyingPig/cs-self-learning/blob/master/docs/%E4%BD%93%E7%B3%BB%E7%BB%93%E6%9E%84/N2T.md), this course is much more difficult and more in-depth, covering pipelining, cache, virtual memory, and concurrency-related content.
|
||||
|
||||
The projects are very innovative and interesting. Project1 is a warmup assignment in C. In 2020Fall, you will implement the famous *Game of Life*. Project2 requires you to write a fully-connected neural network in RISC-V assembly to classify handwritten digits in MNIST dataset, which is a great exercise to write assembly code. In Project3, you will use Logisim, a digital circuit simulation software, to build a two-stage pipeline CPU from scratch and run RISC-V assembly code on it. In Project4 you will implement a toy version of Numpy, using OpenMP, SIMD, and other techniques to speed up matrix operations.
|
||||
|
||||
In a word, this is the best computer architecture course I have ever taken.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <https://cs61c.org/su20/>
|
||||
- Recordings: [Youtube](https://www.youtube.com/playlist?list=PLDoI-XvXO0aqgoMQvogzmf7CKiSMSUS3M)
|
||||
- Textbook: None
|
||||
- Assignments: 11 Labs, 4 Projects, the course website has specific requirements
|
||||
|
||||
## Personal Resources
|
||||
|
||||
All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPig/CS61C-summer20 - GitHub](https://github.com/PKUFlyingPig/CS61C-summer20)
|
||||
|
|
@ -26,4 +26,4 @@
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我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](https://github.com/PKUFlyingPig/CS61C-summer20) 中。
|
||||
@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](https://github.com/PKUFlyingPig/CS61C-summer20) 中。
|
||||
|
|
|
|||
28
docs/体系结构/CSAPP.en.md
Normal file
28
docs/体系结构/CSAPP.en.md
Normal file
|
|
@ -0,0 +1,28 @@
|
|||
# CMU CS15213: CSAPP
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: CMU
|
||||
- Prerequisites: CS61A, CS61B
|
||||
- Programming Languages: C
|
||||
- Difficulty: 🌟🌟🌟🌟🌟
|
||||
- Class Hour: 150 hours
|
||||
|
||||
This course is one of CMU's most reputable courses, and is known for its extensive content and difficult projects. The course covers assembly language, computer architecture, operating systems, compilation and linking, parallelism, networking, etc. As an introductory course of computer system, it has both breadth and depth, and does require considerable perseverance and coding skills if you learn it on your own.
|
||||
|
||||
The textbook for this course, known as CSAPP, was written by Professor Bryant, Dean of the School of Computer Science at CMU. This is also the first computer textbook that I read carefully from the start to the end, although it was tough, I gained a lot from it.
|
||||
|
||||
Peking University purchased the copyright of the course and opened a similar one, but you can have access to all of the course resources on its official homepage (see the link below for details).
|
||||
|
||||
This course is so famous that you can easily have access to the project solutions on the Internet. But if you really want to practice your coding skills, it is highly recommended to implement the projects on your own.
|
||||
|
||||
After completing this course, your understanding of computer systems will definitely go up a notch.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <http://csapp.cs.cmu.edu/>
|
||||
- Recordings: <https://scs.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx#folderID=%22b96d90ae-9871-4fae-91e2-b1627b43e25e%22>
|
||||
- Textbook: Computer Systems: A Programmer's Perspective, 3/E
|
||||
- Assignments: 11 Projects, [skeleton code all open source](http://csapp.cs.cmu.edu/3e/labs.html)
|
||||
|
||||
If you have trouble with Chapter 7 Linking, I recommend reading the book *Programmer's Self-Cultivation*, subtitled link. load and library. This book can complete our understanding of program linking, and I believe after reading this book you will have a deeper comprehension of program linking, ELF files, and dynamic libraries. It is highly recommended to be read as a supplementary material after reading CSAPP and having a certain understanding of computer systems.
|
||||
|
|
@ -25,5 +25,4 @@ CMU 大名鼎鼎的镇系神课，以其内容庞杂，Project 巨难而闻名
|
|||
- 课程教材：Computer Systems: A Programmer's Perspective, 3/E
|
||||
- 课程作业：11 个 Project，[代码框架全部开源](http://csapp.cs.cmu.edu/3e/labs.html)
|
||||
|
||||
补充：
|
||||
英语有困难的同学可以参考B站UP主[九曲阑干](https://space.bilibili.com/354767108/)对 CSAPP 的[中文讲解](https://www.bilibili.com/video/BV1cD4y1D7uR)（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。
|
||||
|
|
|
|||
21
docs/体系结构/DDCA.en.md
Normal file
21
docs/体系结构/DDCA.en.md
Normal file
|
|
@ -0,0 +1,21 @@
|
|||
# Digital Design and Computer Architecture
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: ETH Zurich
|
||||
- Prerequisites: CS50 or same level course; Better have a basic knowledge of C
|
||||
- Programming Languages: C, Verilog, MIPS, LC3
|
||||
- Difficulty: 🌟🌟🌟
|
||||
- Class Hour: 100 hours
|
||||
|
||||
In this course, Onur Mutlu, a great expert in the field of Computer Architecture, will teach you about digital circuits and computer architecture. The course is entirely from the perspective of a computer designer, starting with transistors and logic gates and extending to microarchitecture, caches, and virtual memory. It also covers many of the latest research advances in the field of computer architecture. After learning, you will master digital circuits, hardware description language Verilog, MIPS instruction set, CPU design and performance analysis, pipelining, cache, virtual memory, and so on.
|
||||
|
||||
There are 9 labs in the course. You will use the Basys 3 FPGA board and [Vivado](https://china.xilinx.com/products/design-tools/vivado.html) to design and synthesize the circuits, starting from combinational and sequential circuits, and eventually assembly into a complete CPU. Except for assignment solutions, all the course materials are open source.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <https://safari.ethz.ch/digitaltechnik/spring2020/>
|
||||
- Recordings: <https://www.youtube.com/playlist?list=PL5Q2soXY2Zi_FRrloMa2fUYWPGiZUBQo2>
|
||||
- Textbook1: Patt and Patel, Introduction to Computing Systems
|
||||
- Textbook2: Harris and Harris, Digital Design and Computer Architecture (MIPS Edition)
|
||||
- Assignments: refer to the course website
|
||||
|
|
@ -10,13 +10,12 @@
|
|||
|
||||
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](https://china.xilinx.com/products/design-tools/vivado.html)（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。
|
||||
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
|
||||
|
||||
- 课程网站：<https://safari.ethz.ch/digitaltechnik/spring2020/>
|
||||
- 课程视频：<https://www.youtube.com/playlist?list=PL5Q2soXY2Zi_FRrloMa2fUYWPGiZUBQo2>
|
||||
- 课程教材1：Patt and Patel, Introduction to Computing Systems
|
||||
- 课程教材1：Patt and Patel, Introduction to Computing Systems
|
||||
- 课程教材2：Harris and Harris, Digital Design and Computer Architecture (MIPS Edition)
|
||||
- 课程实验：9 个实验从零开始设计 MIPS CPU，详见课程网站
|
||||
- 课程实验：9 个实验从零开始设计 MIPS CPU，详见课程网站
|
||||
|
|
|
|||
38
docs/体系结构/N2T.en.md
Normal file
38
docs/体系结构/N2T.en.md
Normal file
|
|
@ -0,0 +1,38 @@
|
|||
# Coursera: Nand2Tetris
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: Hebrew University of Jerusalem
|
||||
- Prerequisites: None
|
||||
- Programming Languages: Chosen by the course taker
|
||||
- Difficulty: 🌟🌟🌟
|
||||
- Class Hour: 40 hours
|
||||
|
||||
As one of the most popular courses on [Coursera](https://www.coursera.org), tens of thousands of people give it a full score, and over four hundred colleges and high schools teach it. It guides the students who may have no preparatory knowledge in computer science to build a whole computer from Nand logic gates and finally run the Tetris game on it.
|
||||
|
||||
Sounds cool, right? It's even cooler when you implement it!
|
||||
|
||||
The course is divided into hardware modules and software modules respectively.
|
||||
|
||||
In the hardware modules, you will dive into a world based on 0 and 1, create various logic gates from Nand gates, and construct a CPU step by step to run a simplified instruction set designed by the course instructors.
|
||||
|
||||
In the software modules, you will first write a compiler to compile a high-level language *Jack* which is designed by the instructors into byte codes that can run on virtual machines. Then you will further translate the byte codes into assembly language that can run on the CPU you create in the hardware modules. You will also develop a simple operating system that enables your computer to support GUI.
|
||||
|
||||
Finally, you can use *Jack* to create the Tetris game, compile it into assembly language, run it on your self-made CPU, and interact with it through the OS built by yourself. After taking this course, you will have a comprehensive and profound understanding of the entire computer architecture, which might be extremely helpful to your subsequent learning.
|
||||
|
||||
You may think that the course is too difficult. Don't worry, because it is completely designed for laymen. In the instructors' expectations, even high school students can understand the content. So as long as you keep pace with the syllabus, you can finish it within a month.
|
||||
|
||||
This course extracts the essence of computers while omitting the tedious and complex details in modern computer systems that are designed for efficiency and performance. Surely you will enjoy the elegance and magic of computers in a relaxing and jolly journey.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: [Nand2Tetris I](https://www.coursera.org/learn/build-a-computer/home/week/1), [Nand2Tetris II](https://www.coursera.org/learn/nand2tetris2/home/welcome)
|
||||
- Recordings: Refer to course website
|
||||
- Textbook: [The Elements of Computing Systems: Building a Modern Computer from First Principles (CN-zh version)](book)
|
||||
- Assignments: 10 projects to construct a computer, refer to the course website for more details
|
||||
|
||||
[book]: https://github.com/PKUFlyingPig/NandToTetris/blob/master/%5B%E8%AE%A1%E7%AE%97%E6%9C%BA%E7%B3%BB%E7%BB%9F%E8%A6%81%E7%B4%A0%EF%BC%9A%E4%BB%8E%E9%9B%B6%E5%BC%80%E5%A7%8B%E6%9E%84%E5%BB%BA%E7%8E%B0%E4%BB%A3%E8%AE%A1%E7%AE%97%E6%9C%BA%5D.(%E5%B0%BC%E8%90%A8).%E5%91%A8%E7%BB%B4.%E6%89%AB%E6%8F%8F%E7%89%88.pdf
|
||||
|
||||
## Personal Resources
|
||||
|
||||
All the resources and assignments used by @PKUFlyingPig are maintained in [PKUFlyingPig/NandToTetris - GitHub](https://github.com/PKUFlyingPig/NandToTetris).
|
||||
|
|
@ -25,4 +25,4 @@
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我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](https://github.com/PKUFlyingPig/NandToTetris) 中。
|
||||
@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](https://github.com/PKUFlyingPig/NandToTetris) 中。
|
||||
|
|
|
|||
47
docs/使用指南.md
Normal file
47
docs/使用指南.md
Normal file
|
|
@ -0,0 +1,47 @@
|
|||
# 如何使用这本书
|
||||
|
||||
随着贡献者的不断增多，本书的内容也不断扩展，想把书中所有的课程全部学完是不切实际也没有必要的，甚至会起到事倍功半的反效果，吃力而不讨好。为了更好地贴合读者，让这本书真正为你所用，我将读者按照需求大致分为了如下三类，大家可以结合切身实际，精准地规划属于自己的自学方案。
|
||||
|
||||
## 初入校园
|
||||
|
||||
如果你刚刚进入大学校园或者还在低年级，并且就读的是计算机方向或者想要转到计算机方向，那么你很幸运，因为学习是你的本业，你可以有充足的时间和自由来学习自己感兴趣的东西，不会有工作的压力和生活的琐碎，不必过于纠结“学了有没有用”，“能不能找到工作”这类功利的想法。那么该如何安排自己的学业呢？我觉得首要的一点就是要打破在高中形成的“按部就班”式的被动学习。作为一个小镇做题家，我深知国内大部分高中会把大家一天当中的每一分钟都安排得满满当当，你只需要被动地跟着课表按部就班地完成一个个既定的任务。只要足够认真，结果都不会太差。但步入大学的校门，自由度一下子变大了许多。首先所有的课外时间基本都由你自由支配，没有人为你整理知识点，总结提纲，考试也不像高中那般模式化。如果你还抱着高中那种“乖学生”的心态，老老实实按部就班，结果未必如你所愿。因为专业培养方案未必就是合理，老师的教学未必就会负责，认真出席课堂未必就能听懂，甚至考试内容未必就和讲的有关系。说句玩笑话，你或许会觉得全世界都与你为敌，而你只能指望自己。
|
||||
|
||||
那么现状就是这么个现状，你想改变，也得先活过去，并且拥有足够的能力去质疑它。而在低年级，打好基础很重要。这里的基础是全方面的，课内的知识固然重要，但计算机很大程度上还是强调实践，因此有很多课本外的能力需要培养，而这恰恰是国内的计算机本科教育很欠缺的一点。我根据个人的体验总结出了下面几点建议，供大家参考。
|
||||
|
||||
其一就是了解如何写“优雅”的代码。国内的很多大一编程入门课都会讲成极其无聊的语法课，其效果还不如直接让学生看官方文档。事实上，在刚开始接触编程的时候，让学生试着去了解什么样的代码是优雅的，什么样的代码 "have bad taste" 是大有裨益的。一般来说，编程入门课会先介绍过程式编程（例如 C 语言）。但即便是面向过程编程，**模块化** 和 **封装** 的思想也极其重要。如果你只想着代码能在 OpenJudge 上通过，写的时候图省事，用大段的复制粘贴和臃肿的 main 函数，长此以往，你的代码质量将一直如此。一旦接触稍微大一点的项目，无尽的 debug 和沟通维护成本将把你吞没。因此，写代码时不断问自己，是否有大量重复的代码？当前函数是否过于复杂（Linux 提倡每个函数只需要做好一件事）？这段代码能抽象成一个函数吗？一开始你可能觉得很不习惯，甚至觉得这么简单的题需要如此大费周章吗？但记住好的习惯是无价的，C 语言初中生都能学会，凭什么公司要招你去当程序员呢？
|
||||
|
||||
学过面向过程编程后，大一下学期一般会讲面向对象编程（例如 C++ 或 Java）。这里非常推荐大家看 [MIT 6.031: Software Construction](./软件工程/6031.md) 这门课的 Notes，会以 Java 语言为例非常详细地讲解如何写出“优雅”的代码。例如 Test-Driven 的开发、函数 Specification 的设计、异常的处理等等等等。除此之外，既然接触了面向对象，那么了解一些常见的设计模式也是很有必要的。因为国内的面向对象课程同样很容易变成极其无聊的语法课，让学生纠结于各种继承的语法，甚至出一些无聊的脑筋急转弯一样的题目，殊不知这些东西在地球人的开发中基本不会用到。面向对象的精髓是让学生学会自己将实际的问题抽象成若干类和它们之间的关系，而设计模式则是前人总结出来的一些精髓的抽象方法。这里推荐[大话设计模式](https://book.douban.com/subject/2334288/) 这本书，写得非常浅显易懂。
|
||||
|
||||
其二就是尝试学习一些能提高生产力的工具和技能，例如 Git、Shell、Vim。这里强烈推荐学习 [MIT missing semester](./编程入门/MIT-Missing-Semester.md) 这门课，也许一开始接触这些工具用起来会很不习惯，但强迫自己用，熟练之后开发效率会直线提高。此外，还有很多应用也能极大提高的你生产力。一条定律是：一切需要让手离开键盘的操作，都应该想办法去除。例如切换应用、打开文件、浏览网页这些都有相关插件可以实现快捷操作（例如 Mac 上的 [Alfred](https://www.alfredapp.com/)）。如果你发现某个操作每天都会用到，并且用时超过1秒，那就应该想办法把它缩减到0.1秒。毕竟以后数十年你都要和电脑打交道，形成一套顺滑的工作流是事半功倍的。最后，学会盲打！如果你还需要看着键盘打字，那么赶紧上网找个教程学会盲打，这将极大提高你的开发效率。
|
||||
|
||||
其三就是平衡好课内和自学。我们质疑现状，但也得遵守规则，毕竟绩点在保研中还是相当重要的。因此在大一，我还是建议大家尽量按照自己的课表学习，但辅以一些优质的课外资源。例如微积分线代可以参考 [MIT 18.01/18.02](./数学基础/MITmaths.md) 和 [MIT 18.06](./数学基础/MITLA.md) 的课程 Notes。假期可以通过 [UCB CS61A](./编程入门/CS61A.md) 来学习 Python。同时做到上面第一、第二点说的，注重好的编程习惯和实践能力的培养。就个人经验，大一的数学课学分占比相当大，而且数学考试的内容方差是很大的，不同学校不同老师风格迥异，自学也许能让你领悟数学的本质，但未必能给你一个好成绩。因此考前最好有针对性地刷往年题，充分应试。
|
||||
|
||||
在升入大二之后，计算机方向的专业课将居多，此时大家可以彻底放飞自我，进入自学的殿堂了。具体可以参考 [一份仅供参考的CS学习规划](./CS学习规划.md)，这是我根据自己三年自学经历总结提炼出来的全套指南，每门课的特点以及为什么要上这门课我都做了简单的介绍。对于你课表上的每个课程，这份规划里应该都会有相应的国外课程，而且在质量上我相信基本是全方位的碾压。由于计算机方向的专业知识基本是一样的，而且高质量的课程会让你从原理上理解知识点，对于国内大多照本宣科式的教学来说基本是降维打击。一般来说只要考前将老师“辛苦”念了一学期的 PPT 拿来突击复习两天，取得一个不错的卷面分数并不困难。如果有课程大作业，则可以尽量将国外课程的 Lab 或者 Project 修改一番以应付课内的需要。我当时上操作系统课，发现老师还用着早已被国外学校淘汰的课程实验，便邮件老师换成了自己正在学习的 [MIT 6.S081](./操作系统/MIT6.S081.md) 的 xv6 Project，方便自学的同时还无意间推动了课程改革。总之，灵活变通是第一要义，你的目标是用最方便、效率最高的方式掌握知识，所有与你这一目标违背的所谓规定都可以想方设法地去“糊弄”。凭着这份糊弄劲儿，我大三之后基本没有去过线下课堂（大二疫情在家呆了大半年），对绩点也完全没有影响。
|
||||
|
||||
最后，希望大家少点浮躁和功利，多一些耐心和追求。很多人发邮件问我自学需不需要很强的自制力，我觉得得关键得看你自己想要什么。如果你依然抱着会一门编程语言便能月薪过万的幻想，想分一杯互联网的红利，那么我说再多也是废话。其实我最初的自学并没有太多功利的想法，只是单纯的好奇和本能的求知欲。自学的过程也没有所谓的“头悬梁，锥刺股”，该吃吃，该玩玩，不知不觉才发现竟然攒下了这么多资料。现如今中美的对抗已然成为趋势，而我们还在“卑微”地“师夷长技”，感叹国外高质量课程的同时也时常会有一种危机感。这一切靠谁来改变呢？靠的是刚刚入行的你们。所以，加油吧，少年！
|
||||
|
||||
## 删繁就简
|
||||
|
||||
如果你已经本科毕业开始读研或者走上了工作岗位，亦或是从事着其他领域的工作想要利用业余时间转码，那么你也许并没有充足的业余时间来系统地学完 [一份仅供参考的CS学习规划](./CS学习规划.md) 里的内容，但又想弥补本科时期欠下的基础。考虑到这部分读者通常有一定的编程经验，入门课程没有必要再重复学习。而且从实用角度来说，由于工作的大体方向已经确定，确实没有太大必要对于每个计算机分支都有特别深入的研究，更应该侧重一些通用性的原则和技能。因此我结合自身经历，选取了个人感觉最重要也是质量最高的几门核心专业课，希望能更好地加深读者对计算机的理解。学完这些课程，无论你具体从事的是什么工作，我相信你将不可能沦为一个普通的调包侠，而是对计算机的底层运行逻辑有更深入的了解。
|
||||
|
||||
|课程方向 |课程名 |
|
||||
|-------------|-------------------------------------------------|
|
||||
|离散数学和概率论|[UCB CS70 : discrete Math and probability theory](./数学进阶/CS70.md)|
|
||||
|数据结构与算法 |[Coursera: Algorithms I & II](数据结构与算法/Algo.md)|
|
||||
|软件工程 |[MIT 6.031: Software Construction](软件工程/6031.md)|
|
||||
|全栈开发 |[MIT web development course](Web开发/mitweb.md)|
|
||||
|计算机系统导论 |[CMU CS15213: CSAPP](./体系结构/CSAPP.md)|
|
||||
|体系结构入门 |[Coursera: Nand2Tetris](./体系结构/N2T.md) |
|
||||
|体系结构进阶 |[CS61C: Great Ideas in Computer Architecture](./体系结构/CS61C.md)|
|
||||
|数据库原理 |[CMU 15-445: Introduction to Database System](数据库系统/15445.md)|
|
||||
|计算机网络 |[Computer Networking: A Top-Down Approach](./计算机网络/topdown.md)|
|
||||
|人工智能 |[Harvard CS50: Introduction to AI with Python](人工智能/CS50.md)|
|
||||
|深度学习 |[Coursera: Deep Learning](深度学习/CS230.md)|
|
||||
|
||||
## 心有所属
|
||||
|
||||
如果你对于计算机领域的核心专业课都掌握得相当扎实，而且已经确定了自己的工作或研究方向，那么书中还有很多未在 [一份仅供参考的CS学习规划](./CS学习规划.md) 提到的课程供你探索。
|
||||
|
||||
随着贡献者的不断增多，左侧的目录中将不断增加新的分支，例如 **机器学习进阶** 和 **机器学习系统**。并且同一个分支下都有若干同类型课程，它们来自不同的学校，有着不同的侧重点和课程实验，例如 **操作系统** 分支下就包含了麻省理工、伯克利还有南京大学三个学校的课程。如果你想深耕一个领域，那么学习这些同类的课程会给你不同的角度来看待类似的知识。同时，本书作者还计划联系一些相关领域的科研工作者来分享某个细分领域的科研学习路径，让 CS自学指南 在追求广度的同时，实现深度上的提高。
|
||||
|
||||
如果你想贡献这方面的内容，欢迎和作者邮件联系 [zhongyinmin@pku.edu.cn](mailto:zhongyinmin@pku.edu.cn)
|
||||
184
docs/好书推荐.md
184
docs/好书推荐.md
|
|
@ -1,133 +1,133 @@
|
|||
# 好书推荐
|
||||
|
||||
由于版权原因，下面列举的图书中除了开源书籍提供了链接，其他的资源请大家自行通过 [libgen](http://libgen.is/) 查找。
|
||||
<!--
|
||||
汇总类的书籍资源请放在 资源汇总 板块下
|
||||
|
||||
另外再安利一个 GitHub 顶流热门项目 [free-programming-books](https://github.com/EbookFoundation/free-programming-books)，收集了非常多的免费开源编程书籍。
|
||||
书籍格式要求:
|
||||
书籍名(优先英文原版，开源则附上链接，多版本则默认最新版) [豆瓣链接] [其他相关资源链接（如相关课程）]
|
||||
|
||||
同板块下的顺序要求：
|
||||
先中文后英文，同种语言先开源后闭源，最后按从基础到深入或者字母序。
|
||||
-->
|
||||
|
||||
由于版权原因，下面列举的图书中除了开源资源提供了链接，其他的资源请大家自行通过 [libgen](http://libgen.is/) 或 [z-lib](https://z-lib.org/) 查找。
|
||||
|
||||
## 资源汇总
|
||||
|
||||
- [Free Programming Books](https://github.com/EbookFoundation/free-programming-books): 开源编程书籍资源汇总
|
||||
- [CS Textbook Recommendations](https://4chan-science.fandom.com/wiki/Computer_Science_and_Engineering): 计算机科学方向推荐教材列表
|
||||
- [C Book Guide and List](https://stackoverflow.com/questions/562303/the-definitive-c-book-guide-and-list): C语言相关的编程书籍推荐列表
|
||||
- [C++ Book Guide and List](https://stackoverflow.com/questions/388242/the-definitive-c-book-guide-and-list): C++语言相关的编程书籍推荐列表
|
||||
- [Python Book Guide and List](https://pythonbooks.org/): Python语言相关的编程书籍推荐列表
|
||||
|
||||
## 系统入门
|
||||
|
||||
- Principles of Computer System Design: An Introduction
|
||||
- Computer Systems: A Programmer's Perspective
|
||||
- Computer Systems: A Programmer's Perspective [[豆瓣](https://book.douban.com/subject/26912767/)]
|
||||
- Principles of Computer System Design: An Introduction [[豆瓣](https://book.douban.com/subject/3707841/)]
|
||||
|
||||
## 操作系统
|
||||
|
||||
- [Operating Systems: Three Easy Pieces](https://pages.cs.wisc.edu/~remzi/OSTEP/)
|
||||
- Operating Systems: Principles and Practice (2nd Edition)
|
||||
- [现代操作系统: 原理与实现 (银杏书)](https://ipads.se.sjtu.edu.cn/mospi/)
|
||||
- Modern Operating Systems
|
||||
- [现代操作系统: 原理与实现](https://ipads.se.sjtu.edu.cn/mospi/) [[豆瓣](https://book.douban.com/subject/35208251/)]
|
||||
- [Operating Systems: Three Easy Pieces](https://pages.cs.wisc.edu/~remzi/OSTEP/) [[豆瓣](https://book.douban.com/subject/19973015/)]
|
||||
- Modern Operating Systems [[豆瓣](https://book.douban.com/subject/27096665/)]
|
||||
- Operating Systems: Principles and Practice [[豆瓣](https://book.douban.com/subject/25984145/)]
|
||||
|
||||
## 计算机网络
|
||||
|
||||
- [Computer Networks: A Systems Approach](https://book.systemsapproach.org/foreword.html)
|
||||
- Computer Networking: A Top-Down Approach
|
||||
|
||||
## 编译原理
|
||||
|
||||
- [My First Language Frontend with LLVM Tutorial](https://llvm.org/docs/tutorial/MyFirstLanguageFrontend/index.html)
|
||||
- Compilers: Principles, Techniques, and Tools (Dragon Book)
|
||||
- Engineering a Compiler
|
||||
|
||||
## 计算机语言（PL）
|
||||
|
||||
- [Essentials of Programming Languages (EOPL)](https://eopl3.com/)
|
||||
- [Types and Programming Languages (TAPL)](https://www.cis.upenn.edu/~bcpierce/tapl/) ([北大相关课程](https://xiongyingfei.github.io/DPPL/2021/main.htm))
|
||||
- [Practical Foundations for Programming Languages (PFPL)](https://www.cs.cmu.edu/~rwh/pfpl.html)
|
||||
- [Software Foundations (SF)](https://softwarefoundations.cis.upenn.edu/) ([北大相关课程](https://xiongyingfei.github.io/SF/2021/))
|
||||
|
||||
## 体系结构
|
||||
|
||||
- Computer Architecture: A Quantitative Approach 5th Edition
|
||||
- Computer Organization and Design: The Hardware/Software Interface
|
||||
- [计算机体系结构基础(第三版)](https://github.com/foxsen/archbase)
|
||||
- 超标量处理器设计(姚永斌)
|
||||
- CPU 设计实战 (汪文祥 邢金璋)
|
||||
- [Computer Networks: A Systems Approach](https://book.systemsapproach.org/foreword.html) [[豆瓣](https://book.douban.com/subject/26417896/)]
|
||||
- Computer Networking: A Top-Down Approach [[豆瓣](https://book.douban.com/subject/30280001/)]
|
||||
|
||||
## 分布式系统
|
||||
|
||||
- [Patterns of Distributed System](https://github.com/dreamhead/patterns-of-distributed-systems)
|
||||
- [Distributed Systems for fun and profit](http://book.mixu.net/distsys/index.html)
|
||||
|
||||
## 数据密集型系统设计
|
||||
|
||||
- Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems ([开源中文翻译](https://github.com/Vonng/ddia))
|
||||
|
||||
## 理论计算机科学
|
||||
|
||||
- Introduction to the Theory of Computation，中文版：计算理论导引
|
||||
|
||||
## 密码学
|
||||
|
||||
- Introduction to modern cryptography (second edition) by Jonathon Katz & Yehuda Lindell
|
||||
- Cryptography Engineering: Design Principles and Practical Applications
|
||||
|
||||
## 逆向工程
|
||||
|
||||
- [Reverse engineering for beginners by Dennis Yurichev](https://beginners.re/) 有中文版，中文：逆向工程权威指南
|
||||
- 리버싱 핵심원리 by 李承远 有中文版，中文：逆向工程核心原理
|
||||
- [Patterns of Distributed System (Blog)](https://github.com/dreamhead/patterns-of-distributed-systems)
|
||||
- [Distributed Systems for Fun and Profit (Blog)](http://book.mixu.net/distsys/index.html)
|
||||
- [Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems](https://github.com/Vonng/ddia) [[豆瓣](https://book.douban.com/subject/26197294/)]
|
||||
|
||||
## 数据库系统
|
||||
|
||||
- Database System Concepts
|
||||
- [Architecture of a Database System](https://dsf.berkeley.edu/papers/fntdb07-architecture.pdf)
|
||||
- [Readings in Database Systems, 5th Edition](http://www.redbook.io/)
|
||||
- [Architecture of a Database System](https://dsf.berkeley.edu/papers/fntdb07-architecture.pdf) [[豆瓣](https://book.douban.com/subject/17665384/)]
|
||||
- [Readings in Database Systems](http://www.redbook.io/) [[豆瓣](https://book.douban.com/subject/2256069/)]
|
||||
- Database System Concepts [[豆瓣](https://book.douban.com/subject/10548379/)]
|
||||
|
||||
## 编译原理
|
||||
|
||||
- Engineering a Compiler [[豆瓣](https://book.douban.com/subject/5288601/)]
|
||||
- Compilers: Principles, Techniques, and Tools [[豆瓣](https://book.douban.com/subject/1866231/)]
|
||||
|
||||
## 计算机编程语言
|
||||
|
||||
- 计算机程序的构造和解释 [[豆瓣](https://book.douban.com/subject/1148282/)]
|
||||
- [Essentials of Programming Languages](https://eopl3.com/) [[豆瓣](https://book.douban.com/subject/3136252/)]
|
||||
- [Practical Foundations for Programming Languages](https://www.cs.cmu.edu/~rwh/pfpl.html) [[豆瓣](https://book.douban.com/subject/26782198/)]
|
||||
- [Software Foundations](https://softwarefoundations.cis.upenn.edu/) [[豆瓣](https://book.douban.com/subject/25712292/)] [[北大相关课程](https://xiongyingfei.github.io/SF/2021/)]
|
||||
- [Types and Programming Languages](https://www.cis.upenn.edu/~bcpierce/tapl/) [[豆瓣](https://book.douban.com/subject/1761910/)] [[北大相关课程](https://xiongyingfei.github.io/DPPL/2021/main.htm)]
|
||||
|
||||
## 体系结构
|
||||
|
||||
- 超标量处理器设计: Superscalar RISC Processor Design [[豆瓣](https://book.douban.com/subject/26293546/)]
|
||||
- Computer Organization and Design RISC-V Edition [[豆瓣](https://book.douban.com/subject/27103952/)]
|
||||
- Computer Organization and Design: The Hardware/Software Interface [[豆瓣](https://book.douban.com/subject/26604008/)]
|
||||
- Computer Architecture: A Quantitative Approach [[豆瓣](https://book.douban.com/subject/6795919/)]
|
||||
|
||||
## 理论计算机科学
|
||||
|
||||
- Introduction to the Theory of Computation [[豆瓣](https://book.douban.com/subject/1852515/)]
|
||||
|
||||
## 密码学
|
||||
|
||||
- Cryptography Engineering: Design Principles and Practical Applications [[豆瓣](https://book.douban.com/subject/26416592/)]
|
||||
- Introduction to Modern Cryptography [[豆瓣](https://book.douban.com/subject/2678340/)]
|
||||
|
||||
## 逆向工程
|
||||
|
||||
- 逆向工程核心原理 [[豆瓣](https://book.douban.com/subject/25866389/)]
|
||||
- 加密与解密 [[豆瓣](https://book.douban.com/subject/30288807/)]
|
||||
|
||||
## 计算机图形学
|
||||
|
||||
- Fundamentals of Computer Graphics
|
||||
- Fluid Simulation for Computer Graphics
|
||||
- Real-Time Rendering, 4th edition
|
||||
- Physically Based Rendering: From Theory To Implementation
|
||||
- Advanced global illumination, 2nd Edition
|
||||
- [Monte Carlo theory, methods and examples](https://artowen.su.domains/mc/)
|
||||
- GPU Pro 系列
|
||||
- Advanced Global Illumination [[豆瓣](https://book.douban.com/subject/2751153/)]
|
||||
- Fundamentals of Computer Graphics [[豆瓣](https://book.douban.com/subject/26868819/)]
|
||||
- Fluid Simulation for Computer Graphics [[豆瓣](https://book.douban.com/subject/2584523/)]
|
||||
- Physically Based Rendering: From Theory To Implementation [[豆瓣](https://book.douban.com/subject/4306242/)]
|
||||
- Real-Time Rendering [[豆瓣](https://book.douban.com/subject/30296179/)]
|
||||
|
||||
## 游戏性&游戏引擎
|
||||
- Game Engine Architecture, 3rd Edition by Jason Gregory (中文：游戏引擎架构，第二版有中文)
|
||||
- Game Engine Gems 系列
|
||||
- 游戏编程模式 by Robert Nystrom
|
||||
- Game Programming Gems 系列
|
||||
- Game Audio Programming 3: Principles and Practices by Guy Somberg
|
||||
- 实时碰撞检测算法技术 by Christer Ericson
|
||||
- AI for Games, 3rd edition by Ian Millington
|
||||
- [Game AI Pro 系列](http://www.gameaipro.com/)
|
||||
## 游戏引擎
|
||||
|
||||
## 深度学习
|
||||
|
||||
- [动手学深度学习](http://tangshusen.me/Dive-into-DL-PyTorch/#/)
|
||||
- [Speech and Language Processing](https://web.stanford.edu/~jurafsky/slp3/)
|
||||
- [神经网络与深度学习](https://nndl.github.io/)
|
||||
- [简单粗暴 TensorFlow 2](https://tf.wiki/)
|
||||
- 游戏编程模式: Game Programming Patterns [[豆瓣](https://book.douban.com/subject/26880704/)]
|
||||
- 实时碰撞检测算法技术 [[豆瓣](https://book.douban.com/subject/4861957/)]
|
||||
- [Game AI Pro Series](http://www.gameaipro.com/) [[豆瓣](https://search.douban.com/book/subject_search?search_text=Game+AI+Pro&cat=1001)]
|
||||
- Artificial Intelligence for Games [[豆瓣](https://book.douban.com/subject/3836472/)]
|
||||
- Game Engine Architecture [[豆瓣](https://book.douban.com/subject/25815142/)]
|
||||
- Game Programming Gems Series [[豆瓣](https://search.douban.com/book/subject_search?search_text=Game+Programming+Gems&cat=1001)]
|
||||
|
||||
## 软件工程
|
||||
|
||||
- [Software Engineering at Google](https://abseil.io/resources/swe_at_google.2.pdf)
|
||||
- [Software Engineering at Google](https://abseil.io/resources/swe-book) [[豆瓣](https://book.douban.com/subject/34875994/)]
|
||||
|
||||
## 设计模式
|
||||
|
||||
- 设计模式: 可复用面向对象软件的基础（Gang of Four）
|
||||
- 大话设计模式 by 程杰
|
||||
- [Head First 设计模式](https://awesome-programming-books.github.io/design-pattern/HeadFirst%E8%AE%BE%E8%AE%A1%E6%A8%A1%E5%BC%8F.pdf) (比较简单易懂，适合面向对象设计模式的入门)
|
||||
- 设计模式: 可复用面向对象软件的基础 [[豆瓣](https://book.douban.com/subject/1052241/)]
|
||||
- 大话设计模式 [[豆瓣](https://book.douban.com/subject/2334288/)]
|
||||
- [Head First 设计模式](https://awesome-programming-books.github.io/design-pattern/HeadFirst%E8%AE%BE%E8%AE%A1%E6%A8%A1%E5%BC%8F.pdf) [[豆瓣](https://book.douban.com/subject/2243615/)]
|
||||
|
||||
## C/C++
|
||||
## 深度学习
|
||||
|
||||
- The ANSI C Programming Language, 2nd Edition(中文：C程序设计语言第二版，C语言最经典的一本书)
|
||||
- C Primer Plus, 6th Edition(有中文版，适合0基础学习)
|
||||
- The C++ Programming Language, 4th Edition(中文：C++程序设计语言第四版)
|
||||
- C++ Primer, 5th Edition
|
||||
- STL源码剖析 by 侯捷
|
||||
- Effective C++
|
||||
- More Effective C++
|
||||
- Effective STL
|
||||
- Effective Modern C++
|
||||
- [动手学深度学习](https://zh.d2l.ai) [[豆瓣](https://book.douban.com/subject/33450010/)]
|
||||
- [神经网络与深度学习](https://nndl.github.io/) [[豆瓣](https://book.douban.com/subject/35044046/)]
|
||||
- 深度学习入门 [[豆瓣](https://book.douban.com/subject/30270959/)]
|
||||
- [简单粗暴 TensorFlow 2 (Tutorial)](https://tf.wiki/)
|
||||
- [Speech and Language Processing](https://web.stanford.edu/~jurafsky/slp3/) [[豆瓣](https://book.douban.com/subject/5373023/)]
|
||||
|
||||
## 计算机视觉
|
||||
|
||||
- Multiple View Geometry in Computer Vision
|
||||
- Multiple View Geometry in Computer Vision [[豆瓣](https://book.douban.com/subject/1841346/)]
|
||||
|
||||
## 机器人
|
||||
|
||||
- Probabilistic Robotics(中文：概率机器人，机器人行业圣经)
|
||||
- Probabilistic Robotics [[豆瓣](https://book.douban.com/subject/2861227/)]
|
||||
|
||||
## 面试
|
||||
|
||||
- Cracking The Coding Interview
|
||||
- 剑指 Offer：名企面试官精讲典型编程题 [[豆瓣](https://book.douban.com/subject/27008702/)]
|
||||
- Cracking The Coding Interview [[豆瓣](https://book.douban.com/subject/10436668/)]
|
||||
|
|
|
|||
24
docs/并行与分布式系统/CS149.en.md
Normal file
24
docs/并行与分布式系统/CS149.en.md
Normal file
|
|
@ -0,0 +1,24 @@
|
|||
# CMU 15-418/Stanford CS149: Parallel Computing
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: CMU and Stanford
|
||||
- Prerequisites: Computer Architecture, C++
|
||||
- Programming Languages: C++
|
||||
- Difficulty: 🌟🌟🌟🌟🌟
|
||||
- Class Hour: 150 hours
|
||||
|
||||
The professor [Kayvon Fatahalian](http://www.cs.cmu.edu/~kayvonf) used to teach course 15-418 at CMU. After he became an assistant professor at Stanford, he offered a similar course, CS149 at Stanford. In general, the 15-418 version is more comprehensive and has lecture recordings, but CS149's programming assignments are more fashionable. Personally, I watched the recordings of 15-418 but completed the assignments of CS149.
|
||||
|
||||
The goal of this course is to provide a deep understanding of the fundamental principles and engineering trade-offs involved in designing modern parallel computing systems, as well as to teach how to utilize hardwares and software programming frameworks (such as CUDA, MPI, OpenMP, etc.) for writing high-performance parallel programs. Due to the complexity of parallel computing architecture, this course involves a lot of advanced computer architecture and network communication content, the knowledge is quite low-level and hardcore. Meanwhile, the five assignments develop your understanding and application of upper-level abstraction through software, specifically by analyzing bottlenecks in parallel programs, writing multi-threaded synchronization code, learning CUDA programming, OpenMP programming, and the popular Spark framework, etc. It really combines theory and practice perfectly.
|
||||
|
||||
## Resources
|
||||
|
||||
- Course Website: [CMU15418](http://15418.courses.cs.cmu.edu/spring2016/), [CS149](https://gfxcourses.stanford.edu/cs149/fall21)
|
||||
- Recordings: <http://15418.courses.cs.cmu.edu/spring2016/lectures>
|
||||
- Textbook: None
|
||||
- Assignments: <https://gfxcourses.stanford.edu/cs149/fall21>, 5 assignments
|
||||
|
||||
## Personal Resources
|
||||
|
||||
All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPig/CS149-parallel-computing - GitHub](https://github.com/PKUFlyingPig/CS149-parallel-computing)
|
||||
|
|
@ -21,4 +21,4 @@
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我在学习这门课中用到的所有资源和作业实现都汇总在 [PKUFlyingPig/CS149-parallel-computing - GitHub](https://github.com/PKUFlyingPig/CS149-parallel-computing) 中。
|
||||
@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/CS149-parallel-computing - GitHub](https://github.com/PKUFlyingPig/CS149-parallel-computing) 中。
|
||||
|
|
|
|||
28
docs/并行与分布式系统/MIT6.824.en.md
Normal file
28
docs/并行与分布式系统/MIT6.824.en.md
Normal file
|
|
@ -0,0 +1,28 @@
|
|||
# MIT6.824: Distributed System
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: MIT
|
||||
- Prerequisites: Computer Architecture, Parallel Computing
|
||||
- Programming Languages: Go
|
||||
- Difficulty: 🌟🌟🌟🌟🌟🌟
|
||||
- Class Hour: 200 hours
|
||||
|
||||
This course, the same as MIT 6.S081, comes from the renowned MIT PDOS Lab. The instructor, Professor Robert Morris, was once a famous hacker who created 'Morris', the first worm virus in the world.
|
||||
|
||||
Each lecture will discuss a classic paper in the field of distributed systems, teaching you the important principles and key techniques of distributed systems design and implementation. The Project is known for its difficulty. In four programming assignments, you will implement a KV-store framework step by step based on the Raft consensus algorithm, allowing you to experience the randomness and complexity to implement and debug a distributed system.
|
||||
|
||||
This course is so famous that you can easily have access to the project solutions on the Internet. It is highly recommended to implement the projects on your own.
|
||||
|
||||
## Resources
|
||||
|
||||
- Course Website: <https://pdos.csail.mit.edu/6.824/schedule.html>
|
||||
- Assignments: refer to the course website
|
||||
- Textbook: None
|
||||
- Assignments: 4 torturing projects, the course website has specific requirements
|
||||
|
||||
## Personal Resources
|
||||
|
||||
All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPig/MIT6.824 - GitHub](https://github.com/PKUFlyingPig/MIT6.824)
|
||||
|
||||
@[OneSizeFitsQuorum](https://github.com/OneSizeFitsQuorum) has written a [Lab Documentation](https://github.com/OneSizeFitsQuorum/MIT6.824-2021) that quite clearly describes many of the details to be considered when implementing lab 1-4 and challenge 1-2, you can read when you encounter bottlenecks ~ ~
|
||||
|
|
@ -23,4 +23,6 @@
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我在学习这门课中用到的所有资源和作业实现都汇总在 [PKUFlyingPig/MIT6.824 - GitHub](https://github.com/PKUFlyingPig/MIT6.824) 中。此外也可以参考 [OneSizeFitsQuorum](https://github.com/OneSizeFitsQuorum) 的 [Lab 文档](https://github.com/OneSizeFitsQuorum/MIT6.824-2021)，其较为清晰地介绍了实现 lab 1-4 和 challenge 1-2 需要考虑的许多细节，在遇到瓶颈期时可以阅读一下~
|
||||
@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/MIT6.824 - GitHub](https://github.com/PKUFlyingPig/MIT6.824) 中。
|
||||
|
||||
@[OneSizeFitsQuorum](https://github.com/OneSizeFitsQuorum) 的 [Lab 文档](https://github.com/OneSizeFitsQuorum/MIT6.824-2021) 较为清晰地介绍了实现 lab 1-4 和 challenge 1-2 时需要考虑的许多细节，在遇到瓶颈期时可以阅读一下~~
|
||||
|
|
|
|||
9
docs/必学工具/CMake.en.md
Normal file
9
docs/必学工具/CMake.en.md
Normal file
|
|
@ -0,0 +1,9 @@
|
|||
# CMake
|
||||
|
||||
## Why CMake
|
||||
|
||||
Similar to GNU make, CMake is a cross-platform tool designed to build, test and package software. It uses CMakeLists.txt to define build configuration, and have more functionalities compared to GNU make. It is highly recommanded to learn GNU Make and get familiar with Makefile first before learning CMake.
|
||||
|
||||
## How to learn CMake
|
||||
|
||||
Compare to `Makefile`, `CMakeLists.txt` is more obscure and difficult to understand and use. Nowadays many IDEs (e.g., Visual Studio, CLion) offer functionalities to generate `CMakeLists.txt` automaticly, but it's still necessary to manage basic usage of `CMakeLists.txt`. Besides [Official CMake Tutorial](https://cmake.org/cmake/help/latest/guide/tutorial/index.html), [this one-hour video tutorial (in Chinese)](https://www.bilibili.com/video/BV14h41187FZ) presented by IPADS group at SJTU is also a good learning resource.
|
||||
19
docs/必学工具/Git.en.md
Normal file
19
docs/必学工具/Git.en.md
Normal file
|
|
@ -0,0 +1,19 @@
|
|||
# Git
|
||||
|
||||
## Why Git
|
||||
|
||||
Git is a distributed version control system. The father of Linux, Linus Torvalds developed Git to maintain the version control of Linux, replacing the centralized version control tools which were difficult and costly to use.
|
||||
|
||||
The design of Git is very elegant, but beginners usually find it very difficult to use without understanding its internal logic. It is very easy to mess up the version history if misusing the commands.
|
||||
|
||||
Git is a powerful tool and when you finally master it, you will find all the effort paid off.
|
||||
|
||||
## How to learn Git
|
||||
|
||||
Different from Vim, I don't suggest beginners use Git rashly without fully understanding it, because its inner logic can not be acquainted by practicing. Here is my recommended learning path:
|
||||
|
||||
1. Read this [Git tutorial](https://missing.csail.mit.edu/2020/version-control/) in English, or you can watch this [Git tutorial (by 尚硅谷)](https://www.bilibili.com/video/BV1vy4y1s7k6) in Chinese.
|
||||
2. Read Chap1 - Chap5 of this open source book [Pro Git](https://git-scm.com/book/en/v2). Yes, to learn Git, you need to read a book.
|
||||
3. Now that you have understood its principles and most of its usages, it's time to consolidate those commands by practicing. How to use Git properly is a kind of philosophy. I recommend reading this blog [How to Write a Git Commit Message](https://chris.beams.io/posts/git-commit/).
|
||||
4. You are now in love with Git and are not content with only using it, you want to build a Git by yourself! Great, that's exactly what I was thinking. [This tutorial](https://wyag.thb.lt/) will satisfy you!
|
||||
5. What? Building your own Git is not enough? Seems that you are also passionate about reinventing the wheels. These two GitHub projects, [build-your-own-x](https://github.com/danistefanovic/build-your-own-x) and [project-based-learning](https://github.com/tuvtran/project-based-learning), collected many wheel-reinventing tutorials, e.g., text editor, virtual machine, docker, TCP and so on.
|
||||
|
|
@ -14,9 +14,44 @@
|
|||
- [thingiverse](https://www.thingiverse.com/): 囊括各类 2D/3D 设计资源，其 STL 文件下载可直接 3D 打印。
|
||||
- [iconfont](https://www.iconfont.cn/): 国内最大的图标和插画资源库，可用于开发或绘制系统架构图。
|
||||
- [turbosquid](https://www.turbosquid.com/): 可以购买各式各样的模型。
|
||||
- [flaticon](https://www.flaticon.com/): 可下载免费且高质量的图标。
|
||||
|
||||
## 编程相关
|
||||
|
||||
- [sqlfiddle](http://www.sqlfiddle.com/): 一个简易的在线 SQL Playground。
|
||||
- [sqlzoo](https://sqlzoo.net/wiki/SQL_Tutorial)：在线练习 sql 语句。
|
||||
- [godbolt](https://godbolt.org/): 非常方便的编译器探索工具。你可以写一段 C/C++ 代码，选择一款编译器，然后便可以观察生成的具体汇编代码。
|
||||
- [explainshell](https://explainshell.com/): 你是否曾为一段 shell 代码的具体含义感到困扰？manpage 看半天还是不明所以？试试这个网站！
|
||||
- [regex101](https://regex101.com/): 正则表达式调试网站，支持各种编程语言的匹配标准。
|
||||
- [typingtom](https://www.typingtom.com/lessons): 针对程序员的打字练习/测速网站。
|
||||
- [wrk](https://github.com/wg/wrk): 网站压测工具。
|
||||
- [gbmb](https://www.gbmb.org/): 数据单位转换。
|
||||
- [tools](https://tools.fun/): 在线工具合集。
|
||||
- [Data Structure Visualizations](https://www.cs.usfca.edu/~galles/visualization/Algorithms.html): 数据结构与算法的可视化网站。
|
||||
- [github1s](https://github1s.com/): 用网页版 VS Code 在线阅读 GitHub 代码。
|
||||
- [visualgo](https://visualgo.net/en): 算法可视化网站。
|
||||
- [learngitbranching](https://learngitbranching.js.org/?locale=zh_CN): 可视化学习 git。
|
||||
|
||||
## 学习网站
|
||||
|
||||
- [HFS](https://hepsoftwarefoundation.org/training/curriculum.html): 各类软件教程。
|
||||
- [os-wiki](https://wiki.osdev.org/Main_Page): 操作系统技术资源百科全书。
|
||||
- [Shadertoy](https://www.shadertoy.com/): 编写各式各样的 shader。
|
||||
- [comments-for-awesome-courses](https://conanhujinming.github.io/comments-for-awesome-courses/): 名校公开课评价网。
|
||||
- [codetop](https://codetop.cc/home): 企业题库。
|
||||
- [cs-video-courses](https://github.com/Developer-Y/cs-video-courses): 带有视频讲座的计算机科学课程列表。
|
||||
- [bootlin](https://elixir.bootlin.com/linux/v2.6.39.4/source/include/linux): 在线阅读 Linux 源码。
|
||||
- [ecust-CourseShare](https://github.com/tianyilt/ecnu-PGCourseShare): 华东师范大学研究生课程攻略共享计划。
|
||||
- [REKCARC-TSC-UHT](https://github.com/PKUanonym/REKCARC-TSC-UHT): 清华大学计算机系课程攻略。
|
||||
- [seu-master](https://github.com/oneman233/seu-master): 东南大学研究生课程资料整理。
|
||||
|
||||
## 杂项
|
||||
|
||||
- [tophub](https://tophub.today/): 新闻热榜合集（综合了知乎、微博、百度、微信等）。
|
||||
- [feedly](https://feedly.com/): 著名的 RSS 订阅源阅读器。
|
||||
- [speedtest](https://www.speedtest.net/zh-Hans): 在线网络测速网站。
|
||||
- [public-apis](https://github.com/public-apis/public-apis): 公共 API 合集列表。
|
||||
- [numberempire](https://zh.numberempire.com/derivativecalculator.php): 函数求导工具。
|
||||
- [sustech-application](https://sustech-application.com/#/grad-application/computer-science-and-engineering/README): 南方科技大学经验分享网。
|
||||
- [vim-adventures](https://vim-adventures.com/): 一款基于 vim 键盘快捷键的在线游戏
|
||||
- [vimsnake](https://vimsnake.com/): 利用 vim 玩贪吃蛇
|
||||
|
|
|
|||
120
docs/必学工具/workflow.md
Normal file
120
docs/必学工具/workflow.md
Normal file
|
|
@ -0,0 +1,120 @@
|
|||
> Contributed by [@HardwayLinka](https://github.com/HardwayLinka)
|
||||
|
||||
计算机领域的知识覆盖面很广并且更新速度很快，因此保持终身学习的习惯很重要。但在日常开发和学习的过程中，我们获取知识的来源相对复杂且细碎。有成百上千页的文档手册，也有寥寥数语的博客，甚至闲暇时手机上划过的某则新闻和公众号都有可能包含我们感兴趣的知识。因此，如何利用现有的各类工具，形成一套适合自己的学习工作流，将不同来源的知识碎片整合进属于自己的知识库，方便之后的查阅与复习，就显得尤为重要。经过两年工作之余的学习后，我磨合出了以下学习工作流：
|
||||
|
||||
|
||||
|
||||
## 底层核心逻辑
|
||||
|
||||
一开始我学习新知识时会参考中文博客，但在代码实践时往往会发现漏洞和bug。我逐渐意识到我参考的信息可能是错误的，毕竟发博客的门槛低，文章可信度不高，于是我开始查阅一些相关的中文书籍。
|
||||
|
||||
中文书籍的确是比较全面且系统地讲解了知识点，但众所周知，计算机技术更迭迅速，又因为老美在 CS 方面一直都是灯塔，所以一般中文书籍里的内容会滞后于当前最新的知识，导致我跟着中文书籍实践会出现软件版本差异的问题。这时我开始意识到一手信息的重要性，有些中文书籍是翻译英文书籍的，一般翻译一本书也要一两年，这会导致信息传递的延迟，还有就是翻译的过程中信息会有损失。如果一本中文书籍不是翻译的呢，那么它大概率也参考了其他书籍，参考的过程会带有对英文原著中语义理解的偏差。
|
||||
|
||||
于是我就顺其自然地开始翻阅英文书籍。不得不说，英文书籍内容的质量整体是比中文书籍高的。后来随着学习的层层深入，以知识的时效性和完整性出发，我发现 `源代码` > `官方文档` > `英文书籍` > `英文博客` > `中文博客`，最后我得出了一张 `信息损失图`：
|
||||
|
||||
|
||||
|
||||
虽然一手信息很重要，但后面的 N 手信息并非一无是处，因为这 N 手资料里包含了作者对源知识的转化——例如基于某种逻辑的梳理（流程图、思维导图等）或是一些自己的理解（对源知识的抽象、类比、延伸到其他知识点），这些转化可以帮助我们更快地掌握和巩固知识的核心内容，就如同初高中学习时使用的辅导书。 此外，学习的过程中和别人的交流十分重要，这些 N 手信息同时起了和其他作者交流的作用，让我们能采百家之长。所以这提示我们学习一个知识点时先尽量选择质量更高的，信息损失较少的信息源，同时不妨参考多个信息源，让自己的理解更加全面准确。
|
||||
|
||||
现实工作生活中的学习很难像学校里一样围绕某个单一知识点由浅入深，经常会在学习过程中涉及到其他知识点，比如一些新的专有名词，一篇没有读过的经典论文，一段未曾接触过的代码等等。这就要求我们勤于思考，刨根究底地“递归”学习，给多个知识点之间建立联系。
|
||||
|
||||
## 选择合适的笔记软件
|
||||
|
||||
工作流的骨架围绕 `单个知识点多参考源，勤于提问给多个知识点之间建立联系` 的底层核心逻辑建立。我们写论文其实就是遵循这个底层逻辑的。论文一般会有脚注去解释一些关键字，并且论文末尾会有多个参考的来源，但是我们平时写笔记会随意得多，因此需要更灵活的方式。
|
||||
|
||||
平时写代码习惯在 IDE 里一键跳转，把相关的函数和实现很好地联系在了一起。你也许会想，如果笔记也能像代码那样可以跳转就好了。现在市面上 `双链笔记软件` 就可以很好地解决这一痛点，例如 Roam Research、Logseq、Notion 和 Obsidian。Roam Research 和 Logseq 都是基于大纲结构的笔记软件，而 `大纲结构` 是劝退我使用这两款软件的原因。一是 `大纲结构` 做笔记容易使文章纵向篇幅太长，二是如果嵌套结构过多会占横向的篇幅。Notion 页面打开慢，弃之。最终我选择了 Obsidian，原因如下：
|
||||
|
||||
* Obsidian 基于本地，打开速度快，且可存放很多电子书。我的笔记本是 32g 内存的华硕天选一代，拿来跑 Obsidian 可以快到飞起
|
||||
* Obsidian 基于 Markdown。这也是一个优势，如果笔记软件写的笔记格式是自家的编码格式，那么不方便其他第三方拓展，也不方便将笔记用其他软件打开，比如 qq 音乐下载歌曲有自己的格式，其他播放器播放不了，这挺恶心人的
|
||||
* Obsidian 有丰富的插件生态，并且这个生态既大又活跃，即插件数量多，且热门插件的 star 多，开发者会反馈用户 issue，版本会持续迭代。借助这些插件，可以使 Osidian 达到 `all in one` 的效果，即各类知识来源可以统一整合于一处
|
||||
|
||||
## 信息的来源
|
||||
|
||||
Obsidian 的插件使其可以支持 pdf 格式，而其本身又支持 Markdown 格式。如果想要 `all in one`，那么可以基于这两个格式，将其他格式文件转换为 pdf 或者 Markdown。 那么现在就面临着两个问题：
|
||||
|
||||
* 有什么格式
|
||||
* 怎么转换为 pdf 或 Markdown
|
||||
|
||||
|
||||
|
||||
### 有什么格式
|
||||
|
||||
文件格式依托于其展示的平台，所以在看有什么格式之前，可以罗列一下我平时获取信息的来源：
|
||||
|
||||
|
||||
|
||||
|
||||
可以看到主要分为`文章`、`论文`、`电子书`、`课程`四类，包含的格式主要有 `网页`、`pdf` 、`mobi`、`azw`、`azw3`。
|
||||
|
||||
### 怎么转换为 pdf 或 Markdown
|
||||
|
||||
在线的文章和课程等大多以网页形式呈现，而将网页转换为 Markdown 可以使用剪藏软件，它可以将网页文章转换为多种文本格式文件。我选择的工具是简悦，使用简悦可以将几乎所有平台的文章很好地剪藏为 Markdown 并且导入到 Obsidian。
|
||||
|
||||
|
||||
|
||||
对于论文和电子书而言如果格式本身就是 pdf 则万事大吉，但如果是其他格式则可以使用 calibre 进行转换：
|
||||
|
||||
|
||||
|
||||
现在利用 Obsidian 的 pdf 插件和其原生的 markdown 支持就可以畅快无比地做笔记并且在这些文章的对应章节进行无缝衔接地引用跳转啦（具体操作参考下文的“信息的处理”模块）。
|
||||
|
||||
|
||||
|
||||
### 如何统一管理信息来源
|
||||
|
||||
对于 pdf 等文件类资源可以本地或者云端存储，而网页类资源则可以分门别类地放入浏览器的收藏夹，或者剪藏成 markdown 格式的笔记，但是网页浏览器不能实现移动端的网页收藏。为了实现跨端网页收藏我选用了 Cubox，在手机端看到感兴趣的网页时只需小手一划，便能将网页统一保存下来。虽然免费版只能收藏 100 个网页，但其实够用了，还可以在收藏满时督促自己赶紧剪藏消化掉这些网页，让收藏不吃灰。
|
||||
|
||||
|
||||
|
||||
除此之外，回想一下我们平时收藏的网页，就会发现有很多并不是像知乎、掘金这类有完整功能的博客平台，更多的是个人建的小站，而这些小站往往没有移动端应用，这样平时刷手机的时候也看不到，放到浏览器的收藏夹里又容易漏了看，有新文章发布我们也不能第一时间收到通知，这个时候就需要一种叫 `RSS` 的通信协议。
|
||||
|
||||
`RSS`（英文全称：RDF Site Summary 或 Really Simple Syndication），中文译作简易信息聚合，也称聚合内容，是一种消息来源格式规范，用以聚合多个网站更新的内容并自动通知网站订阅者。电脑端可以借助 `RSSHub Radar` 来快速发现和生成 `RSS` 订阅源，接着使用 `Feedly` 来订阅这些 `RSS` 订阅源（`RSSHub Radar` 和 `Feedly` 在 chrome 浏览器中均有官方插件）。
|
||||
|
||||
|
||||
|
||||
到这里为止，收集信息的流程已经比较完备了。但资料再多，分类规整得再漂亮，也得真正内化成自己的才管用。因此在收集完信息后就得进一步地处理信息，即阅读这些信息，如果是英文信息的话还得搞懂英文的语义，加粗高亮重点句子段落，标记有疑问的地方，发散联想相关的知识点，最后写上自己的总结。那么在这过程中需要使用到什么工具呢？
|
||||
|
||||
## 信息的处理
|
||||
|
||||
### 英文信息
|
||||
|
||||
面对英文的资料，我以前是用 `有道词典` 来划词翻译，遇到句子的话就使用谷歌翻译，遇到大段落时就使用 `deepl`，久而久之，发现这样看英语文献太慢了，得用三个工具才能满足翻译这一个需求，如果有一个工具能够同时实现对单词、句子和段落的划词翻译就好了。我联想到研究生们应该会经常接触英语文献，于是我就搜 `研究生` + `翻译软件`，在检索结果里我最终选择了 `Quicker` + `沙拉查词` 这个搭配来进行划词翻译。
|
||||
|
||||
|
||||
|
||||
使用这套组合可以实现在浏览器外的其他软件内进行划词翻译，并且支持单词、句子和段落的翻译，以及每次的翻译会有多个翻译平台的结果。btw，如果查单词时不着急的话，可以顺便看看 `科林斯高阶` 的翻译，这个词典的优点就是会用英文去解释英文，可以提供多个上下文帮助你理解，对于学习英文单词也有帮助，因为用英文解释英文才更接近英语的思维。
|
||||
|
||||
|
||||
|
||||
### 多媒体信息
|
||||
|
||||
处理完文本类的信息后，我们还得思考一下怎么处理多媒体类的信息。此处的多媒体我特指英文视频，因为我没有用播客或录音学习的习惯，而且我已经基本不看中文教程了。现在很多国外名校公开课都是以视频的形式，如果能对视频进行做笔记会不会有帮助呢？不知道大家有没这样的想法，就是如果能把老师上课讲的内容转换成文本就好了，因为平时学习时我们看书的速度往往会比老师讲课的速度快。刚好 `Language Reactor` 这个软件可以将油管和网飞内视频的字幕导出来，同时附上中文翻译。
|
||||
|
||||
我们可以把 `Language Reactor` 导出的字幕复制到 `Obsidian` 里面作为文章来读。除了出于学习的需求，也可以在平时看油管的视频时打开这个插件，这个插件可以同时显示中英文字幕，并且可以单击选中英文字幕中你认为生僻的单词后显示单词释义。
|
||||
|
||||
|
||||
|
||||
但阅读文本对于一些抽象的知识点来说并不是效率最高的学习方式。俗话说，一图胜千言，能不能将某一段知识点的文本和对应的图片甚至视频画面操作联系起来呢？我在浏览 `Obsidian` 的插件市场时，发现了一个叫 `Media Extended` 的插件，这个插件可以在你的笔记里添加跳转到视频指定时间进度的链接，相当于把你的笔记和视频连接起来了！这刚好可以和我上文提到的生成视频中英文字幕搭配起来，即每一句字幕对应一个时间，并且能根据时间点跳转到视频的指定进度，如此一来如果需要在文章中展示记录了操作过程的视频的话，就不需要自己去截取对应的视频片段，而是直接在文章内就能跳转！
|
||||
|
||||
|
||||
|
||||
`Obsidian` 里还有一个很强大的插件，叫 `Annotator`，它可以实现笔记内跳转到 pdf 原文
|
||||
|
||||
|
||||
|
||||
现在，使用 `Obsidian` 自带的双链功能，可以实现笔记间相互跳转，结合上述两个插件，可以实现笔记到多媒体的跳转，信息的处理过程已经完备。一般我们学习的过程相当于上山和下山，刚学的时候就好像上山，很陌生、吃力，所谓学而时习之，复习或练习的过程就像下山，没有陌生感，不见得轻松，但非走不可。那么如何把复习这一过程纳入工作流的环节里呢？
|
||||
|
||||
## 信息的回顾
|
||||
|
||||
`Obsidian` 内已经有一个连接 `Anki` 的插件，`Anki` 就是大名鼎鼎的、基于间隔重复的记忆软件。使用该插件可以截取笔记的片段导出到 `Anki` 并变成一张卡片，卡片内也有跳转回笔记原文的链接
|
||||
|
||||
|
||||
|
||||
## 总结
|
||||
|
||||
这个工作流是在我这两年业余时间学习时所慢慢形成的，在学习过程中因为对一些重复性的过程而感到厌倦，正是这种厌倦产生了某种特定的需求，恰好在平时网上冲浪时了解到的一些工具满足了我这些需求。不要为了虚无的满足感而将工具强行拼凑到自己的工作流中，人生苦短，做实事最紧要。
|
||||
|
||||
btw，此篇文章是讲解工作流的演化思路，如果对此工作流的实现细节感兴趣，建议阅读完本文后再按顺序阅读以下文章
|
||||
|
||||
1. [3000 + 小时积累的学习工作流](https://sspai.com/post/75969)
|
||||
2. [Obsidian 的高级玩法 | 打造能跳转到任何格式文件的笔记](https://juejin.cn/post/7145351315705577485)
|
||||
32
docs/操作系统/CS162.en.md
Normal file
32
docs/操作系统/CS162.en.md
Normal file
|
|
@ -0,0 +1,32 @@
|
|||
# CS162: Operating System
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: UC Berkeley
|
||||
- Prerequisites: CS61A, CS61B, CS61C
|
||||
- Programming Languages: C, x86 Assembly
|
||||
- Difficulty: 🌟🌟🌟🌟🌟🌟
|
||||
- Class Hour: 200 hours+
|
||||
|
||||
The course impressed me in two aspects:
|
||||
|
||||
Firstly, the textbook: *Operating Systems: Principles and Practice (2nd Edition)* is written in an insightful but easy-to-understand way, well compensated for the lack of theoretical knowledge in MIT6.S081, I highly recommend you to read this book.
|
||||
|
||||
Secondly, the project for this course *Pintos* is a great journey for system hackers. *Pintos* is a toy operating system developed at Stanford for educational use. The author Ben Pfaff even published a [paper](https://benpfaff.org/papers/pintos.pdf) to explain the design principles of *Pintos*.
|
||||
|
||||
Unlike the small but comprehensive design philosophy in MIT's xv6 labs, *Pintos* emphasizes system design and implementation more. The codebase is about 10,000 LOC and only provides the basic functions of a working operating system. The four projects let you add scheduler (Project1), system calls (Project2), virtual memory (Project3), and the file system (Project4) to this extremely simple operating system. All projects leave a a big design space for students and require more than 2000 LOC. Based on the [feedback](https://www.quora.com/What-is-it-like-to-take-CS-140-Operating-Systems-at-Stanford) from Stanford students, the latter two projects take over 40 hours per person even in teams of 3-4 people.
|
||||
|
||||
Although it is tough, Stanford, Berkeley, JHU and many other top U.S. colleges have chosen *Pintos* as their OS course project. If you're really interested in operating systems, it will greatly improve your ability to write and debug low-level system code. For me, it is an invaluable experience to design, implement, and debug a large system independently.
|
||||
|
||||
*Pintos* will also be introduced as a course project in Peking University's OS Course. In the Spring 2022 semester, I worked with [another TA](https://github.com/AlfredThiel) to write a comprehensive [lab documentation](https://alfredthiel.gitbook.io/pintosbook/) and provided a docker image for the ease of cross-platform development. In the last semester before graduation, I hope such an attempt can make more people fall in love with systems and contribute to the field of systems in China.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <https://cs162.org/>
|
||||
- Lecture Videos: <https://www.youtube.com/watch?v=YfHY0pvpRkk>, videos for each lecture can be found on the course website.
|
||||
- Textbook: [Operating Systems: Principles and Practice (2nd Edition)](http://ospp.cs.washington.edu/)
|
||||
- Assignments: <https://cs162.org/>, 6 Homework, 3 Projects, the course website has specific requirements
|
||||
|
||||
## Personal Resources
|
||||
|
||||
Since the Operating System Course at PKU uses the project, my implementation is not open source to prevent plagiarism.
|
||||
54
docs/操作系统/MIT6.S081.en.md
Normal file
54
docs/操作系统/MIT6.S081.en.md
Normal file
|
|
@ -0,0 +1,54 @@
|
|||
# MIT 6.S081: Operating System Engineering
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: MIT
|
||||
- Prerequisites: Computer Architecture + Solid C Programming Skills + RISC-V Assembly
|
||||
- Programming Languages: C, RISC-V
|
||||
- Difficulty: 🌟🌟🌟🌟🌟
|
||||
- Class Hour: 150 hours
|
||||
|
||||
This is the undergraduate operating system course at MIT, offered by the well-known PDOS Group. One of the instructors, Robert Morris, was once a famous hacker who created 'Morris', the first worm virus in the world.
|
||||
|
||||
The predecessor of this course was the famous MIT6.828. The same instructors at MIT created an educational operating system called JOS based on x86, which has been adopted by many other famous universities. While after the birth of RISC-V, they implemented it based on RISC-V, and offered MIT 6.S081. RISC-V is lightweight and user-friendly, so students don't have to struggle with the confusing legacy features in x86 as in JOS, but focus on the operating system design and implementation.
|
||||
|
||||
The instructors have also written a [tutorial](https://pdos.csail.mit.edu/6.828/2021/xv6/book-riscv-rev2.pdf), elaborately explaining the ideas of design and details of the implementation of xv6 operating system.
|
||||
|
||||
The teaching style of this course is also interesting, the instructors guided the students to understand the numerous technical challenges and design principles in the operating systems by going through the xv6 source code, instead of merely teaching theoretical knowledge. Weekly Labs will let you add new features to xv6, which focus on enhancing students' practical skills. There are 11 labs in total during the whole semester which give you the chance to understand every aspect of the operating systems, bringing a great sense of achievement. Each lab has a complete framework for testing, some tests are more than a thousand lines of code, which shows how much effort the instructors have made to teach this course well.
|
||||
|
||||
In the second half of the course, the instructors will discuss a couple of classic papers in the operating system field, covering file systems, system security, networking, virtualization, and so on, giving you a chance to have a taste of the cutting edge research directions in the academic field.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <https://pdos.csail.mit.edu/6.828/2021/schedule.html>
|
||||
- Lecture Videos: <https://www.youtube.com/watch?v=L6YqHxYHa7A>, videos for each lecture can be found on the course website.
|
||||
- Translated documentation(Chinese) of Lecture videos: <https://mit-public-courses-cn-translatio.gitbook.io/mit6-s081/>
|
||||
- Text Book: <https://pdos.csail.mit.edu/6.828/2021/xv6/book-riscv-rev2.pdf>
|
||||
- Assignments: <https://pdos.csail.mit.edu/6.828/2021/schedule.html>, 11 labs, can be found on the course website.
|
||||
|
||||
## xv6 Resources
|
||||
|
||||
- [Detailed Explanation of xv6](https://space.bilibili.com/1040264970/)
|
||||
- [xv6 Documentation(Chinese)](https://th0ar.gitbooks.io/xv6-chinese/content/index.html)
|
||||
|
||||
## Complementary Resources
|
||||
|
||||
All resources used and assignments implemented by @PKUFlyingPig when learning this course are in [PKUFlyingPig/MIT6.S081-2020fall - GitHub][github_pkuflyingpig].
|
||||
|
||||
@[KuangjuX][KuangjuX] documented his [solutions][solution_kuangjux] with detailed explanations and complementary knowledge. Moreover, @[KuangjuX][KuangjuX] has reimplemented [the xv6 operating system in Rust][xv6-rust] which contains more detailed reviews and discussions about xv6.
|
||||
|
||||
[github_pkuflyingpig]: https://github.com/PKUFlyingPig/MIT6.S081-2020fall
|
||||
[KuangjuX]: https://github.com/KuangjuX
|
||||
[solution_kuangjux]: https://github.com/KuangjuX/xv6-riscv-solution
|
||||
[xv6-rust]: https://github.com/Ko-oK-OS/xv6-rust
|
||||
|
||||
### Some Blogs for References
|
||||
|
||||
- [doraemonzzz](http://doraemonzzz.com/tags/6-S081/)
|
||||
- [Xiao Fan (樊潇)](https://fanxiao.tech/posts/MIT-6S081-notes/)
|
||||
- [Miigon's blog](https://blog.miigon.net/categories/mit6-s081/)
|
||||
- [Zhou Fang](https://walkerzf.github.io/categories/6-S081/index.html)
|
||||
- [Yichun's Blog](https://www.yichuny.page/tags/Operating%20System)
|
||||
- [解析Ta](https://blog.csdn.net/u013577996/article/details/108679997)
|
||||
- [PKUFlyingPig](https://github.com/PKUFlyingPig/MIT6.S081-2020fall)
|
||||
- [星遥见](https://www.cnblogs.com/weijunji/tag/XV6/)
|
||||
|
|
@ -33,7 +33,9 @@
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我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.S081-2020fall - GitHub][github_pkuflyingpig] 中。此外也可以参考 [KuangjuX] 实现的 MIT 6.S081 的几个 lab 的[题解][solution_kuangjux]，里面亦有详细的解法和补充知识，另外，[KuangjuX] 还使用 Rust 语言重新实现过 xv6-riscv 操作系统：[xv6-rust]，里面对于 xv6-riscv 有更为详细的思考和讨论，感兴趣的同学可以看一下哦。
|
||||
@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.S081-2020fall - GitHub][github_pkuflyingpig] 中。
|
||||
|
||||
@[KuangjuX] 编写了 MIT 6.S081 的 lab 的[题解][solution_kuangjux]，里面有详细的解法和补充知识。另外，@[KuangjuX] 还使用 Rust 语言重新实现了 xv6-riscv 操作系统：[xv6-rust]，里面对于 xv6-riscv 有更为详细的思考和讨论，感兴趣的同学可以看一下哦。
|
||||
|
||||
[github_pkuflyingpig]: https://github.com/PKUFlyingPig/MIT6.S081-2020fall
|
||||
[KuangjuX]: https://github.com/KuangjuX
|
||||
|
|
|
|||
22
docs/数学基础/MITLA.en.md
Normal file
22
docs/数学基础/MITLA.en.md
Normal file
|
|
@ -0,0 +1,22 @@
|
|||
# MIT18.06: Linear Algebra
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: MIT
|
||||
- Prerequisites: English
|
||||
- Programming languages: None
|
||||
- Difficulty: 🌟🌟🌟
|
||||
- Class Hour: Varying from person to person
|
||||
|
||||
Gilbert Strang, a great mathematician at MIT, still insists on teaching in his eighties. His classic text book [Introduction to Linear Algebra](https://math.mit.edu/~gs/linearalgebra/) has been adopted as an official textbook by Tsinghua University. After reading the PDF version, I felt deeply guilty and spent more than 200 yuan to purchase a genuine version in English as collection. The cover of this book is attached below. If you can fully understand the mathematical meaning of the cover picture, then your understanding of linear algebra will definitely reach a new height.
|
||||
|
||||
|
||||
|
||||
In addition to the course materials, the famous Youtuber **3Blue1Brown**'s video series [The Essence of Linear Algebra](https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab) are also great learning resources.
|
||||
|
||||
## Resources
|
||||
|
||||
- Course Website: <https://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/syllabus/>
|
||||
- Recordings: refer to the course website
|
||||
- Textbook: Introduction to Linear Algebra, Gilbert Strang
|
||||
- Assignments: refer to the course website
|
||||
20
docs/数学基础/MITmaths.en.md
Normal file
20
docs/数学基础/MITmaths.en.md
Normal file
|
|
@ -0,0 +1,20 @@
|
|||
# MIT Calculus Course
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: MIT
|
||||
- Prerequisites: English
|
||||
- Programming Languages: None
|
||||
- Difficulty: 🌟🌟
|
||||
- Class Hour: Varying from person to person
|
||||
|
||||
The calculus course at MIT consists of MIT18.01: Single Variable Calculus and MIT18.02: Multivariable Calculus. If you are confident in your math, you can just read the course notes, which are written in a very simple and vivid way, so that you will not be tired of doing homework but can really see the essence of calculus.
|
||||
|
||||
In addition to the course materials, the famous Youtuber **3Blue1Brown**'s video series [The Essence of Calculus](https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr) are also great learning resources.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: [18.01](https://ocw.mit.edu/courses/mathematics/18-01sc-single-variable-calculus-fall-2010/syllabus/), [18.02](https://ocw.mit.edu/courses/mathematics/18-02sc-multivariable-calculus-fall-2010/)
|
||||
- Recordings: refer to course website
|
||||
- Textbook: refer to course website
|
||||
- Assignments: refer to course website
|
||||
|
|
@ -8,7 +8,7 @@
|
|||
- 课程难度：🌟🌟
|
||||
- 预计学时：因人而异
|
||||
|
||||
MIT 的微积分课由 MIT18.01: Single variable calculus 和 MIT18.02: Multi variable calculus 两门课组成。对自己数学基础比较自信的同学可以只看课程 notes，写得非常浅显生动并且抓住本质，让你不再疲于做题而是能够真正窥见微积分的本质魅力。
|
||||
MIT 的微积分课由 MIT18.01: Single Variable Calculus 和 MIT18.02: Multivariable Calculus 两门课组成。对自己数学基础比较自信的同学可以只看课程 notes，写得非常浅显生动并且抓住本质，让你不再疲于做题而是能够真正窥见微积分的本质魅力。
|
||||
|
||||
配合油管数学网红 **3Blue1Brown** 的[微积分的本质](https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr)系列视频食用更佳。
|
||||
|
||||
|
|
|
|||
17
docs/数学基础/information.en.md
Normal file
17
docs/数学基础/information.en.md
Normal file
|
|
@ -0,0 +1,17 @@
|
|||
# MIT6.050J: Information theory and Entropy
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: MIT
|
||||
- Prerequisites: None
|
||||
- Programming Languages: None
|
||||
- Difficulty: 🌟🌟🌟
|
||||
- Class Hour: 100 hours
|
||||
|
||||
This is MIT's introductory information theory course for freshmen, Professor Penfield has written a special [textbook](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-050j-information-and-entropy-spring-2008/syllabus/MIT6_050JS08_textbook.pdf) for this course as course notes, which is in-depth and interesting.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-050j-information-and-entropy-spring-2008/index.htm>
|
||||
- Textbook: <https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-050j-information-and-entropy-spring-2008/syllabus/MIT6_050JS08_textbook.pdf>
|
||||
- Assignments: see the course website for details, including written assignments and Matlab programming assignments.
|
||||
17
docs/数学进阶/6.042J.en.md
Normal file
17
docs/数学进阶/6.042J.en.md
Normal file
|
|
@ -0,0 +1,17 @@
|
|||
# MIT 6.042J: Mathematics for Computer Science
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: MIT
|
||||
- Prerequisites: Calculus, Linear Algebra
|
||||
- Programming Languages: Python preferred
|
||||
- Difficulty: 🌟🌟🌟
|
||||
- Class Hour: 50-70 hours
|
||||
|
||||
This is MIT‘s discrete mathematics and probability course taught by the notable Tom Leighton (co-founder of Akamai). It is very useful for learning algorithms subsequently.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/>
|
||||
- Recordings: <https://www.youtube.com/playlist?list=PLB7540DEDD482705B>
|
||||
- Assignments: <https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/assignments/>
|
||||
27
docs/数学进阶/CS126.en.md
Normal file
27
docs/数学进阶/CS126.en.md
Normal file
|
|
@ -0,0 +1,27 @@
|
|||
# UCB CS126 : Probability theory
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: UC Berkeley
|
||||
- Prerequisites: CS70, Calculus, Linear Algebra
|
||||
- Programming Languages: Python
|
||||
- Difficulty: 🌟🌟🌟🌟🌟
|
||||
- Class Hour: 100 hours
|
||||
|
||||
This is Berkeley's advanced probability course, which involves relatively advanced theoretical content such as statistics and stochastic processes, so a solid mathematical foundation is required. But as long as you stick with it you will certainly take your mastery of probability theory to a new level.
|
||||
|
||||
The course is designed by Professor Jean Walrand, who has written an accompanying textbook, [Probability in Electrical Engineering and Computer Science](https://link.springer.com/book/10.1007/978-3-030-49995-2), in which each chapter uses a specific algorithm as a practical example to demonstrate the application of theory in practice. Such as PageRank, Route Planing, Speech Recognition, etc. The book is open source and can be downloaded as a free PDF or Epub version.
|
||||
|
||||
Jean Walrand has also created accompanying Python implementations of the examples throughout the book, which are published online as [Jupyter Notebook](https://jeanwalrand.github.io/PeecsJB/intro.html) that readers can modify, debug and run them online interactively.
|
||||
|
||||
In addition to the Homework, nine Labs will allow you to use probability theory to solve practical problems in Python.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <https://inst.eecs.berkeley.edu/~ee126/fa20/content.html>
|
||||
- Textbook: [PDF](https://link.springer.com/content/pdf/10.1007%2F978-3-030-49995-2.pdf), [Epub](https://link.springer.com/download/epub/10.1007%2F978-3-030-49995-2.epub), [Jupyter Notebook](https://jeanwalrand.github.io/PeecsJB/intro.html)
|
||||
- Assignments: refer to the course website.
|
||||
|
||||
## Personal Resources
|
||||
|
||||
All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPig/EECS126 - GitHub](https://github.com/PKUFlyingPig/EECS126)
|
||||
|
|
@ -28,4 +28,4 @@
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我在学习这门课中用到的所有资源和作业实现都汇总在 [PKUFlyingPig/EECS126 - GitHub](https://github.com/PKUFlyingPig/EECS126) 中。
|
||||
@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/EECS126 - GitHub](https://github.com/PKUFlyingPig/EECS126) 中。
|
||||
|
|
|
|||
31
docs/数学进阶/CS70.en.md
Normal file
31
docs/数学进阶/CS70.en.md
Normal file
|
|
@ -0,0 +1,31 @@
|
|||
# UCB CS70: Discrete Math and Probability Theory
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: UC Berkeley
|
||||
- Prerequisites: None
|
||||
- Programming Languages: None
|
||||
- Difficulty: 🌟🌟🌟
|
||||
- Class Hour: 60 hours
|
||||
|
||||
This is Berkeley's introductory discrete mathematics course. The biggest highlight of this course is that it not only teaches you theoretical knowledge, but also introduce the applications of theoretical knowledge in practical algorithms in each module. In this way, students majoring in CS can understand the essence of theoretical knowledge and use it in practice rather than struggle with cold formal mathematical symbols.
|
||||
|
||||
Specific theory-algorithm correspondences are listed below.
|
||||
|
||||
- Logic proof: stable matching algorithm
|
||||
- Graph theory: network topology design
|
||||
- Basic number theory: RSA algorithm
|
||||
- Polynomial ring: error-correcting code design
|
||||
- Probability theory: Hash table design, load balancing, etc.
|
||||
|
||||
The course notes are also written in a very in-depth manner, with derivations of formulas and practical examples, providing a good reading experience.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <http://www.eecs70.org/>
|
||||
- Textbook: refer to the course website
|
||||
- Assignments: refer to the course website
|
||||
|
||||
## Personal Resources
|
||||
|
||||
All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPig/UCB-CS70 - GitHub](https://github.com/PKUFlyingPig/UCB-CS70)
|
||||
|
|
@ -28,4 +28,4 @@
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我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-CS70 - GitHub](https://github.com/PKUFlyingPig/UCB-CS70) 中。
|
||||
@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-CS70 - GitHub](https://github.com/PKUFlyingPig/UCB-CS70) 中。
|
||||
|
|
|
|||
|
|
@ -0,0 +1,20 @@
|
|||
# The Information Theory, Patter Recognition, and Neural Networks
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: Cambridge
|
||||
- Prerequisites: Calculus, Linear Algebra, Probabilities and Statistics
|
||||
- Programming Languages: Anything would be OK, Python preferred
|
||||
- Difficulty: 🌟🌟🌟
|
||||
- Class Hour: 30-50 hours
|
||||
|
||||
This is a course on information theory taught by Sir David MacKay at the University of Cambridge. The professor is a very famous scholar in information theory and neural networks, and the textbook for the course is a classic work in the field of information theory. Unfortunately, those whom God loves die young ...
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <http://www.inference.org.uk/mackay/itila/>
|
||||
- Recordings: <https://www.youtube.com/playlist?list=PLruBu5BI5n4aFpG32iMbdWoRVAA-Vcso6>
|
||||
- Textbooks: Information Theory, Inference, and Learning Algorithms
|
||||
- Assignments: At the end of each lesson video, there are post-lesson exercises from the textbook
|
||||
|
||||
## R.I.P Prof. David MacKay
|
||||
24
docs/数学进阶/convex.en.md
Normal file
24
docs/数学进阶/convex.en.md
Normal file
|
|
@ -0,0 +1,24 @@
|
|||
# Stanford EE364A: Convex Optimization
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: Stanford
|
||||
- Prerequisites: Python, Calculus, Linear Algebra, Probability Theory, Numerical Analysis
|
||||
- Programming Languages: Python
|
||||
- Difficulty: 🌟🌟🌟🌟🌟
|
||||
- Class Hour: 150 hours
|
||||
|
||||
Professor [Stephen Boyd](http://web.stanford.edu/~boyd) is a great expert in the field of convex optimization and his textbook **Convex Optimization** has been adopted by many prestigious universities. His team has also developed a programming framework for solving common convex optimization problems in Python, Julia, and other popular programming languages, and its homework assignments also use this programming framework to solve real-life convex optimization problems.
|
||||
|
||||
In practice, you will deeply understand that for the same problem, a small change in the modeling process can make a world of difference in the difficulty of solving the equation. It is an art to make the equations you formulate "convex".
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <http://stanford.edu/class/ee364a/index.html>
|
||||
- Recordings: <https://www.youtube.com/watch?v=VNON98dKjno&list=PLoCMsyE1cvdXeoqd1hGaMBsCAQQ6otUtO>
|
||||
- Textbook: [Convex Optimization](https://stanford.edu/~boyd/cvxbook/)
|
||||
- Assignments: refer to the course website
|
||||
|
||||
## Personal Resources
|
||||
|
||||
All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPic/Standford_CVX101 - GitHub](https://github.com/PKUFlyingPig/Standford_CVX101)
|
||||
|
|
@ -21,4 +21,4 @@
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我在学习这门课中用到的所有资源和作业实现都汇总在 [PKUFlyingPig/Standford_CVX101 - GitHub](https://github.com/PKUFlyingPig/Standford_CVX101) 中。
|
||||
@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/Standford_CVX101 - GitHub](https://github.com/PKUFlyingPig/Standford_CVX101) 中。
|
||||
|
|
|
|||
25
docs/数学进阶/numerical.en.md
Normal file
25
docs/数学进阶/numerical.en.md
Normal file
|
|
@ -0,0 +1,25 @@
|
|||
# MIT18.330 : Introduction to numerical analysis
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: MIT
|
||||
- Prerequisites: Calculus, Linear Algebra, Probability theory
|
||||
- Programming Languages: Julia
|
||||
- Difficulty: 🌟🌟🌟🌟🌟
|
||||
- Class Hour: 150 hours
|
||||
|
||||
While the computational power of computers has been helping people to push boundaries of science, there is a natural barrier between the discrete nature of computers and this continuous world, and how to use discrete representations to estimate and approximate those mathematically continuous concepts is an important theme in numerical analysis.
|
||||
|
||||
This course will explore various numerical analysis methods in the areas of floating-point representation, equation solving, linear algebra, calculus, and differential equations, allowing you to understand (1) how to design estimation (2) how to estimate errors (3) how to implement algorithms in Julia. There are also plenty of programming assignments to practice these ideas.
|
||||
|
||||
The designers of this course have also written an open source textbook for this course (see the link below) with plenty of Julia examples.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <https://github.com/mitmath/18330>
|
||||
- Textbook: <https://fncbook.github.io/fnc/frontmatter.html>
|
||||
- Assignments: 10 problem sets
|
||||
|
||||
## Personal Resources
|
||||
|
||||
All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPic/MIT18.330 - GitHub](https://github.com/PKUFlyingPig/MIT18.330)
|
||||
|
|
@ -10,7 +10,7 @@
|
|||
|
||||
计算机强大的计算能力帮助人们在科学领域不断突破边界，不过计算机的离散本质和这个连续的世界有着天然鸿沟，而如何用离散的表示去估计和逼近那些数学上连续的概念，则是数值分析的重要主题。
|
||||
|
||||
这门课会在浮点表示、方程求解、线性代数、微积分、线性代数、微分方程等领域探讨各类数值分析方法，让你在 Julia 的编程实践中反复体悟（1）如何建立估计（2）如何估计误差（3）如何用算法实现估计 这一系列步骤。
|
||||
这门课会在浮点表示、方程求解、线性代数、微积分、微分方程等领域探讨各类数值分析方法，让你在 Julia 的编程实践中反复体悟（1）如何建立估计（2）如何估计误差（3）如何用算法实现估计 这一系列步骤。
|
||||
|
||||
这门课的设计者还编写了配套的开源教材（参见下方链接），里面有丰富的 Julia 实例。
|
||||
|
||||
|
|
@ -22,4 +22,4 @@
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我在学习这门课中用到的所有资源和作业实现都汇总在 [PKUFlyingPig/MIT18.330 - GitHub](https://github.com/PKUFlyingPig/MIT18.330) 中。
|
||||
@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/MIT18.330 - GitHub](https://github.com/PKUFlyingPig/MIT18.330) 中。
|
||||
|
|
|
|||
|
|
@ -13,27 +13,27 @@
|
|||
|
||||
## 课程资源
|
||||
|
||||
- 课程网站：[Fall2019](https://15445.courses.cs.cmu.edu/fall2019/schedule.html), [Fall2020](https://15445.courses.cs.cmu.edu/fall2020/schedule.html)
|
||||
- 课程网站：[Fall2019](https://15445.courses.cs.cmu.edu/fall2019/schedule.html), [Fall2020](https://15445.courses.cs.cmu.edu/fall2020/schedule.html), [Fall2021](https://15445.courses.cs.cmu.edu/fall2021/schedule.html)
|
||||
- 课程视频：课程网站免费观看
|
||||
- 课程教材：Database System Concepts
|
||||
- 课程作业：4 个 Project
|
||||
|
||||
在 Fall2019 中，第二个 Project 是做哈希索引，第四个 Project 是做日志与恢复
|
||||
在 Fall2019 中，第二个 Project 是做哈希索引，第四个 Project 是做日志与恢复。
|
||||
|
||||
在 Fall2020 中，第二个 Project 是做 B 树，第四个 Project 是做并发控制
|
||||
在 Fall2020 中，第二个 Project 是做 B 树，第四个 Project 是做并发控制。
|
||||
|
||||
在 Fall2021 中，第二个 Project 是做缓存池管理，第三个 Project 是做哈希索引，第四个 Project 是做并发控制。
|
||||
|
||||
如果大家有精力的话可以都去尝试一下，或者在对书中内容理解不是很透彻的时候，尝试用代码写一个会加深你的理解。
|
||||
|
||||
我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: db - GitHub](https://github.com/ysj1173886760/Learning/tree/master/db) 中。
|
||||
## 资源汇总
|
||||
|
||||
由于 Andy 的要求，仓库中没有 Project 的实现，只有 Homework 的 Solution。特别的，对于 Homework1，我还写了一个 Shell 脚本来帮大家执行自动判分
|
||||
@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: db - GitHub](https://github.com/ysj1173886760/Learning/tree/master/db) 中。
|
||||
|
||||
另外在课程结束后，我十分推荐阅读一篇论文 [Architecture Of a Database System](https://github.com/ysj1173886760/paper_notes/tree/master/db)，对应的中文版我上传到了链接中的仓库。论文里综述了数据库系统的整体架构，让大家可以对数据库有一个更加全面的视野。
|
||||
由于 Andy 的要求，仓库中没有 Project 的实现，只有 Homework 的 Solution。特别的，对于 Homework1，@ysj1173886760 还写了一个 Shell 脚本来帮大家执行自动判分。
|
||||
|
||||
另外在课程结束后，推荐阅读一篇论文 [Architecture Of a Database System](https://github.com/ysj1173886760/paper_notes/tree/master/db)，对应的中文版也在上述仓库中。论文里综述了数据库系统的整体架构，让大家可以对数据库有一个更加全面的视野。
|
||||
|
||||
## 后续课程
|
||||
|
||||
[CMU15-721](https://15721.courses.cs.cmu.edu/spring2020/)
|
||||
|
||||
主要讲主存数据库有关的内容，每节课都有对应的 paper 要读，推荐给希望进阶数据库的小伙伴
|
||||
|
||||
我目前也在跟进这门课，完成后会在这里提 PR 以提供进阶的指导
|
||||
[CMU15-721](https://15721.courses.cs.cmu.edu/spring2020/) 主要讲主存数据库有关的内容，每节课都有对应的 paper 要读，推荐给希望进阶数据库的小伙伴。@ysj1173886760 目前也在跟进这门课，完成后会在这里提 PR 以提供进阶的指导。
|
||||
|
|
|
|||
|
|
@ -12,17 +12,20 @@
|
|||
|
||||
下面介绍一下这门课的前 3 个 Assignment 也就是实验 Lab 所要实现的功能：
|
||||
|
||||
### Assignment1：
|
||||
### Assignment1
|
||||
|
||||
- 为 NanoDB 提供 delete，update 语句的支持。
|
||||
- 为 Buffer Pool Manager 添加合适的 pin/unpin 代码。
|
||||
- 提升 insert 语句的性能， 同时不使数据库文件大小过分膨胀。
|
||||
|
||||
### Assignment2：
|
||||
### Assignment2
|
||||
|
||||
- 实现一个简单的计划生成器，将各种已经 Parser 过的 SQL 语句转化为可执行的执行计划。
|
||||
- 使用 nested-loop join 算法，实现支持 inner- and outer-join 的 Join 计划节点。
|
||||
- 添加一些单元测试， 保证 inner- and outer-join 功能实现正确。
|
||||
|
||||
### Assignment3：
|
||||
### Assignment3
|
||||
|
||||
- 完成收集表的统计信息。
|
||||
- 完成各种计划节点的计划成本计算。
|
||||
- 计算可出现在执行计划中的各种谓词的选择性。
|
||||
|
|
@ -35,4 +38,4 @@
|
|||
- 课程网站：<http://courses.cms.caltech.edu/cs122/>
|
||||
- 课程代码：<https://gitlab.caltech.edu/cs122-19wi>
|
||||
- 课程教材：无
|
||||
- 课程作业：7 Assignments + 2 Challenges
|
||||
- 课程作业：7 Assignments + 2 Challenges
|
||||
|
|
|
|||
23
docs/数据库系统/CS186.en.md
Normal file
23
docs/数据库系统/CS186.en.md
Normal file
|
|
@ -0,0 +1,23 @@
|
|||
# UCB CS186: Introduction to Database System
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: UC Berkeley
|
||||
- Prerequisites: CS61A, CS61B, CS61C
|
||||
- Programming Languages: Java
|
||||
- Difficulty: 🌟🌟🌟🌟🌟
|
||||
- Class Hour: 150 hours
|
||||
|
||||
How to write SQL queries? How are SQL commands disassembled, optimized, and transformed into on-disk query commands step by step? How to implement a high-concurrency database? How to implement database failure recovery? What is NoSQL? This course elaborates on the internal details of relational databases. Besides the theoretical knowledge, you will use Java to implement a real relational database that supports SQL concurrent query, B+ tree index, and failure recovery.
|
||||
|
||||
From a practical point of view, you will have the opportunity to write SQL queries and NoSQL queries in course projects, which is very helpful for building full-stack projects.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <https://cs186berkeley.net/>
|
||||
- Recordings: <https://www.youtube.com/playlist?list=PLYp4IGUhNFmw8USiYMJvCUjZe79fvyYge>
|
||||
- Assignments: <https://cs186.gitbook.io/project/>
|
||||
|
||||
## Personal Resources
|
||||
|
||||
All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPig/CS186 - GitHub](https://github.com/PKUFlyingPig/CS186).
|
||||
|
|
@ -14,11 +14,11 @@
|
|||
|
||||
## 课程资源
|
||||
|
||||
- 课程网站：<https://cs186berkeley.net/sp21/>
|
||||
- 课程网站：<https://cs186berkeley.net/>
|
||||
- 课程视频：<https://www.bilibili.com/video/BV13a411c7Qo>
|
||||
- 课程教材：无
|
||||
- 课程作业：6 个 Project
|
||||
|
||||
## 资源汇总
|
||||
|
||||
我在学习这门课中用到的所有资源和作业实现都汇总在 [PKUFlyingPig/CS186 - GitHub](https://github.com/PKUFlyingPig/CS186) 中。
|
||||
@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/CS186 - GitHub](https://github.com/PKUFlyingPig/CS186) 中。
|
||||
|
|
|
|||
17
docs/数据科学/Data100.en.md
Normal file
17
docs/数据科学/Data100.en.md
Normal file
|
|
@ -0,0 +1,17 @@
|
|||
# UCB Data100: Principles and Techniques of Data Science
|
||||
|
||||
## Description
|
||||
|
||||
- Offered by: UC Berkeley
|
||||
- Prerequisites: CS61A, Linear Algebra
|
||||
- Programming Languages: Python
|
||||
- Difficulty: 🌟🌟🌟
|
||||
- Class Hour: 80 hours
|
||||
|
||||
This is Berkeley's introductory course in data science, covering the basics of data cleaning, feature extraction, data visualization, machine learning and inference, as well as common data science tools such as Pandas, Numpy, and Matplotlib. The course is also rich in interesting programming assignments, which is one of the highlights of the course.
|
||||
|
||||
## Resources
|
||||
- Course Website: <https://ds100.org/fa21/>
|
||||
- Records: refer to the course website
|
||||
- Textbook: <https://www.textbook.ds100.org/intro.html>
|
||||
- Assignments: refer to the course website
|
||||
35
docs/数据结构与算法/Algo.en.md
Normal file
35
docs/数据结构与算法/Algo.en.md
Normal file
|
|
@ -0,0 +1,35 @@
|
|||
# Coursera: Algorithms I & II
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: Princeton
|
||||
- Prerequisites: CS61A
|
||||
- Programming Languages: Java
|
||||
- Difficulty: 🌟🌟🌟
|
||||
- Class Hour: 60 hours
|
||||
|
||||
This is the highest rated algorithms course on [Coursera](https://www.coursera.org), and Robert Sedgewick has the magic to make even the most complex algorithms incredibly easy to understand. To be honest, the KMP and network flow algorithms that I have been struggling with for years were made clear to me in this course, and I can even write derivations and proofs for both of them two years later.
|
||||
|
||||
Do you feel that you forget the algorithms quickly after learning them? I think the key to fully grasping an algorithm lies in understanding the three points as follows:
|
||||
|
||||
- Why should do this? (Correctness derivation, or the essence of the entire algorithm.)
|
||||
- How to implement it? (Talk is cheap. Show me the code.)
|
||||
- How to use it to solve practical problems? (Bridge the gap between theory and real life.)
|
||||
|
||||
The composition of this course covers the three points above very well. Watching the course videos and reading the professor's [textbook](https://algs4.cs.princeton.edu/home/) will help you understand the essence of the algorithm and allow you to tell others why the algorithm should look like this in very simple and vivid terms.
|
||||
|
||||
After understanding the algorithms, you can read the professor's [code implementation](https://algs4.cs.princeton.edu/code/) of all the data structures and algorithms taught in the course.
|
||||
Note that these codes are not demos, but production-ready, time-efficient implementations. They have extensive annotations and comments, and the modularization is also quite good. I learned a lot by just reading the codes.
|
||||
|
||||
Finally, the most exciting part of the course is the 10 high-quality projects, all with real-world backgrounds, rich test cases, and an automated scoring system (code style is also a part of the scoring). You'll get a taste of algorithms in real life.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: [Algorithm I](https://www.coursera.org/learn/algorithms-part1), [Algorithm II](https://www.coursera.org/learn/algorithms-part2)
|
||||
- Recordings: [Coursera: Algorithm I](https://www.coursera.org/learn/algorithms-part1), [Coursera: lgorithm II](https://www.coursera.org/learn/algorithms-part2), [CUvids: Algorithms, 4th Edition](https://cuvids.io/app/course/2/)
|
||||
- Textbooks: [Algorithms, 4th Edition](https://algs4.cs.princeton.edu/home/)
|
||||
- Assignments: 10 Projects, the course website has specific requirements
|
||||
|
||||
## Personal Resources
|
||||
|
||||
All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPig/Princeton-Algorithm - GitHub](https://github.com/PKUFlyingPig/Princeton-Algorithm).
|
||||
|
|
@ -34,4 +34,4 @@
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我在学习这门课中用到的所有资源和作业实现都汇总在 [PKUFlyingPig/Princeton-Algorithm - GitHub](https://github.com/PKUFlyingPig/Princeton-Algorithm) 中。
|
||||
@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/Princeton-Algorithm - GitHub](https://github.com/PKUFlyingPig/Princeton-Algorithm) 中。
|
||||
|
|
|
|||
24
docs/数据结构与算法/CS170.en.md
Normal file
24
docs/数据结构与算法/CS170.en.md
Normal file
|
|
@ -0,0 +1,24 @@
|
|||
# CS170: Efficient Algorithms and Intractable Problems
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: UC Berkeley
|
||||
- Prerequisites: CS61B, CS70
|
||||
- Programming Languages: LaTeX
|
||||
- Difficulty: 🌟🌟🌟
|
||||
- Class Hour: 60 hours
|
||||
|
||||
This is Berkeley's algorithm design and analysis course. It focuses on the theoretical foundations and complexity analysis of algorithms, covering Divide-and-Conquer, Graph Algorithms, Shortest Paths, Spanning Trees, Greedy Algorithms, Dynamic programming, Union Finds, Linear Programming, Network Flows, NP-Completeness, Randomized Algorithms, Hashing, etc.
|
||||
|
||||
The textbook for this course is well written and very suitable as a reference book. In addition, this class has written assignments and is recommended to use LaTeX. You can take this opportunity to practice your LaTeX skills.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <https://cs170.org/>
|
||||
- Recordings: <https://www.youtube.com/playlist?list=PLnocShPlK-Ft-o7NInBDw18be86dNaxlT>
|
||||
- Recordings: refer to the course website
|
||||
- Assignments: refer to the course website
|
||||
|
||||
## Personal Resources
|
||||
|
||||
All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPig/UCB-CS170 - GitHub](https://github.com/PKUFlyingPig/UCB-CS170)
|
||||
|
|
@ -21,4 +21,4 @@
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我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-CS170 - GitHub](https://github.com/PKUFlyingPig/UCB-CS170) 中。
|
||||
@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-CS170 - GitHub](https://github.com/PKUFlyingPig/UCB-CS170) 中。
|
||||
|
|
|
|||
30
docs/数据结构与算法/CS61B.en.md
Normal file
30
docs/数据结构与算法/CS61B.en.md
Normal file
|
|
@ -0,0 +1,30 @@
|
|||
# CS61B: Data Structures and Algorithms
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: UC Berkeley
|
||||
- Prerequisites: CS61A
|
||||
- Programming Languages: Java
|
||||
- Difficulty: 🌟🌟🌟
|
||||
- Class Hour: 60 hours
|
||||
|
||||
It is the second course of UC Berkeley's CS61 series. It mainly focuses on the design of data structures and algorithms as well as giving students the opportunity to be exposed to thousands of lines of engineering code and gain a preliminary understanding of software engineering through Java.
|
||||
|
||||
I took the version for 2018 Spring. Josh Hug, the instructor, generously made the autograder open-source. You can use [gradescope](https://gradescope.com/) invitation code published on the website for free and easily test your implementation.
|
||||
|
||||
All programming assignments in this course are done in Java. Students without Java experience don't have to worry. There will be detailed tutorials in the course from the configuration of IDEA to the core syntax and features of Java.
|
||||
|
||||
The quality of homework in this class is also unparalleled. The 14 labs will allow you to implement most of the data structures mentioned in the class by yourself, and the 10 homework will allow you to use data structures and algorithms to solve practical problems.
|
||||
In addition, there are 3 projects that give you the opportunity to be exposed to thousands of lines of engineering code and enhance your Java skills in practice.
|
||||
|
||||
## Resources
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <https://sp18.datastructur.es/>
|
||||
- Recordings: refer to the course website
|
||||
- Textbook: None
|
||||
- Assignments: Slightly different every year. In the spring semester of 2018, there are 14 Labs, 10 Homework and 3 Projects. Please refer to the course website for specific requirements.
|
||||
|
||||
## Personal resources
|
||||
|
||||
All resources and homework implementations used by @PKUFlyingPig in this course are summarized in [PKUFlyingPig/CS61B - GitHub](https://github.com/PKUFlyingPig/CS61B).
|
||||
|
|
@ -27,21 +27,4 @@
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我在学习这门课中用到的所有资源和作业实现都汇总在 [PKUFlyingPig/CS61B - GitHub](https://github.com/PKUFlyingPig/CS61B) 中。
|
||||
Algorithms, 4th Edition: <https://algs4.cs.princeton.edu/home/>
|
||||
CS61B Exams and Solutions: <https://tbp.berkeley.edu/courses/cs/61B/>
|
||||
COS226 Spring 2008 Midterm Solution: <https://www.cs.princeton.edu/courses/archive/spring15/cos226/exams/mid-s08-sol.pdf>
|
||||
COS226 Fall 2008 Midterm Solution: <https://www.cs.princeton.edu/courses/archive/spring15/cos226/exams/mid-f08-sol.pdf>
|
||||
COS226 Fall 2009 Midterm Solution: <https://www.cs.princeton.edu/courses/archive/spring15/cos226/exams/mid-f09-sol.pdf>
|
||||
CS61B Fall 2009 Exam Solutions (Final, Midterm, Midterm2, Midterm3): <https://inst.eecs.berkeley.edu//~cs61b/fa13/samples/>
|
||||
COS226 Fall 2010 Midterm Solution: <https://www.cs.princeton.edu/courses/archive/spring15/cos226/exams/mid-f10.pdf>
|
||||
COS226 Fall 2011 Midterm Solution: <https://www.cs.princeton.edu/courses/archive/spring15/cos226/exams/mid-f11-sol.pdf>
|
||||
COS226 Spring 2012 Midterm Solution: <https://www.cs.princeton.edu/courses/archive/spring15/cos226/exams/mid-s12-sol.pdf>
|
||||
COS226 Fall 2012 Midterm Solution: <https://www.cs.princeton.edu/courses/archive/spring15/cos226/exams/mid-f12-sol.pdf>
|
||||
COS226 Spring 2013 Midterm Solution: <https://www.cs.princeton.edu/courses/archive/fall13/cos226/exams/mid-s13-sol.pdf>
|
||||
CS61B Fall 2014 Test Solutions (Final, Final2, Final3, Midterm, Midterm2): <https://inst.eecs.berkeley.edu/~cs61b/fa14/test-solutions/>
|
||||
CS61B Spring 2016 Midterm2 Walkthrough: <https://www.youtube.com/watch?v=rciRgoiJVGY>
|
||||
CS61B Spring 2017 Midterm2 Walkthrough: <https://www.youtube.com/channel/UCqiudaLea8HNE23GBC34R5Q/videos>
|
||||
CS61B Spring 2016 MT1, Spring 2017 Exam Prep, Spring 2018 MT1, Spring 2019 MT1, Spring 2019 MT2, Fall 2020 MT1: <https://www.youtube.com/channel/UCNBSbBTFx8nFahcQyZOYOgQ/videos>
|
||||
CS61B Spring 2019 Discussion: <https://www.youtube.com/channel/UCdh0Rpk6C1w1ypiEjjKh_Uw/videos>
|
||||
CS61B Fall 2020 Discussion: <https://www.youtube.com/channel/UCtic6FhXmfR0PSntIXjhwaw/videos>
|
||||
@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/CS61B - GitHub](https://github.com/PKUFlyingPig/CS61B) 中。
|
||||
|
|
|
|||
18
docs/机器学习/CS189.en.md
Normal file
18
docs/机器学习/CS189.en.md
Normal file
|
|
@ -0,0 +1,18 @@
|
|||
# CS189: Introduction to Machine Learning
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: UC Berkeley
|
||||
- Prerequisites: CS188, CS70
|
||||
- Programming Languages: Python
|
||||
- Difficulty: 🌟🌟🌟🌟
|
||||
- Class Hour: 100 Hours
|
||||
|
||||
I did not take this course but used its lecture notes as reference books. From the course website, I think it is better than CS299 because all the assignments and autograder are open source. Also, this course is quite theoretical and in-depth.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <https://www.eecs189.org/>
|
||||
- Recordings: <https://www.youtube.com/playlist?list=PLOOm2AoWIPEyZazQVnIcaK2KnezpGZV-X>
|
||||
- Textbooks: <https://www.eecs189.org/>
|
||||
- Assignments: <https://www.eecs189.org/>
|
||||
|
|
@ -19,4 +19,4 @@
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我在学习这门课中用到的所有资源和作业实现都汇总在 [PKUFlyingPig/CS229 - GitHub](https://github.com/PKUFlyingPig/CS229) 中。
|
||||
@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/CS229 - GitHub](https://github.com/PKUFlyingPig/CS229) 中。
|
||||
|
|
|
|||
26
docs/机器学习/ML.en.md
Normal file
26
docs/机器学习/ML.en.md
Normal file
|
|
@ -0,0 +1,26 @@
|
|||
# Coursera: Machine Learning
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: Stanford
|
||||
- Prerequisites: entry level of AI and proficient in Python
|
||||
- Programming Languages: Python
|
||||
- Difficulty: 🌟🌟🌟
|
||||
- Class Hour: 100 hours
|
||||
|
||||
When it comes to Andrew Ng, no one in the AI community should be unaware of him. He is one of the founders of the famous online education platform [Coursera](https://www.coursera.org), and also a famous professor at Stanford. This introductory machine learning course must be one of his famous works (the other is his deep learning course), and has hundreds of thousands of learners on Coursera (note that these are people who paid for the certificate, which costs several hundred dollars), and the number of nonpaying learners should be far more than that.
|
||||
|
||||
The class is extremely friendly to novices, and Andrew has the ability to make machine learning as straightforward as 1+1=2. You'll learn about linear regression, logistic regression, support vector machines, unsupervised learning, dimensionality reduction, anomaly detection, and recommender systems, etc. and solidify your understanding with hands-on programming. The quality of the assignments needs no word to say. With detailed code frameworks and practical background, you can use what you've learned to solve real problems.
|
||||
|
||||
Of course, as a public mooc, the difficulty of this course has been deliberately lowered, and many mathematical derivations are skimmed over. If you are interested in machine learning theory and want to investigate the mathematical theory behind these algorithms, you can refer to [CS229](./CS229.md) and [CS189](./CS189.md).
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <https://www.coursera.org/learn/machine-learning>
|
||||
- Recordings: refer to the course website
|
||||
- Textbook: None
|
||||
- Assignments: refer to the course website
|
||||
|
||||
## Personal Resources
|
||||
|
||||
My implementation is lost in system reinstallation. However, the course is so famous that you can easily find related resources online. Also, course material is available on Coursera.
|
||||
29
docs/机器学习系统/CMU10-414.md
Normal file
29
docs/机器学习系统/CMU10-414.md
Normal file
|
|
@ -0,0 +1,29 @@
|
|||
# CMU 10-414/714: Deep Learning Systems
|
||||
|
||||
## 课程简介
|
||||
|
||||
- 所属大学：CMU
|
||||
- 先修要求：系统入门(eg.15-213)、深度学习入门、基本的数学知识
|
||||
- 编程语言：N/A（据课程主页，要求熟悉Python、C/C++）
|
||||
- 课程难度：N/A
|
||||
- 预计学时：N/A
|
||||
|
||||
<!-- 用一两段话介绍这门课程，内容包括但不限于：
|
||||
（1）课程覆盖的知识点范围
|
||||
（2）与同类课程相比它的优势与特点
|
||||
（3）学习这门课程的体验与感受
|
||||
（4）自学这门课的注意点（踩过的坑、难度预警等等）
|
||||
（5）... ...
|
||||
-->
|
||||
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
|
||||
|
||||
- 课程网站：<https://dlsyscourse.org>
|
||||
- 课程视频：N/A
|
||||
- 课程教材：N/A
|
||||
- 课程作业：TBA
|
||||
|
||||
## 资源汇总
|
||||
|
||||
TBA
|
||||
32
docs/机器学习系统/MLC.md
Normal file
32
docs/机器学习系统/MLC.md
Normal file
|
|
@ -0,0 +1,32 @@
|
|||
# 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
|
||||
|
||||
<!-- 用一两段话介绍这门课程，内容包括但不限于：
|
||||
（1）课程覆盖的知识点范围
|
||||
（2）与同类课程相比它的优势与特点
|
||||
（3）学习这门课程的体验与感受
|
||||
（4）自学这门课的注意点（踩过的坑、难度预警等等）
|
||||
（5）... ...
|
||||
-->
|
||||
|
||||
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](https://tvm.apache.org/) 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
|
||||
|
||||
- 课程网站：<https://mlc.ai/summer22-zh/>
|
||||
- 课程视频：[Bilibili][Bilibili_link]
|
||||
- 课程笔记：<https://mlc.ai/zh/index.html>
|
||||
- 课程作业：<https://github.com/mlc-ai/notebooks/blob/main/assignment>
|
||||
|
||||
[Bilibili_link]: https://www.bilibili.com/video/BV15v4y1g7EU?spm_id_from=333.337.search-card.all.click&vd_source=a4d76d1247665a7e7bec15d15fd12349
|
||||
|
|
@ -23,4 +23,4 @@ Stanford 的 NLP 入门课程，由自然语言处理领域的巨佬 Chris Manni
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我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](https://github.com/PKUFlyingPig/CS224n) 中。
|
||||
@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](https://github.com/PKUFlyingPig/CS224n) 中。
|
||||
|
|
|
|||
18
docs/深度学习/CS230.en.md
Normal file
18
docs/深度学习/CS230.en.md
Normal file
|
|
@ -0,0 +1,18 @@
|
|||
# Coursera: Deep Learning
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: Stanford
|
||||
- Prerequisites: fundamental machine learning + Python
|
||||
- Programming Language: Python
|
||||
- Difficulty: 🌟🌟🌟🌟
|
||||
- Class Hour: 80 hours
|
||||
|
||||
Yet another popular online course offered by Andrew Ng on Coursera. It has attracted many learners and can be seen as the Bible of fundamental deep learning. The course provides well-covered projects, with clear but thorough instructions. The course starts from basic neural networks, to CNN, RNN, and all the way to Transformer, which has been a hot topic these days. After learning this course, you'll be equipped with the basic knowledge and skills for deep learning, and you may want to participate in [Kaggle](https://www.kaggle.com/) competitions to practice your skills with real tasks.
|
||||
|
||||
## Couse Resources
|
||||
|
||||
- Course Website: <https://www.coursera.org/specializations/deep-learning>
|
||||
- Lecture Videos: <https://www.coursera.org/specializations/deep-learning>, can be found on Bilibili
|
||||
- Text Book: none
|
||||
- Assignments: <https://www.coursera.org/specializations/deep-learning>
|
||||
|
|
@ -17,7 +17,7 @@ RL、Compression、Life-Long Learning 以及 Meta Learning。可谓是包罗万
|
|||
|
||||
## 课程资源
|
||||
|
||||
- 课程网站：<https://speech.ee.ntu.edu.tw/~hylee/ml/2021-spring.html>
|
||||
- 课程视频：<https://speech.ee.ntu.edu.tw/~hylee/ml/2021-spring.html>，每节课的链接参见课程网站
|
||||
- 课程网站：<https://speech.ee.ntu.edu.tw/~hylee/ml/2022-spring.php>
|
||||
- 课程视频：<https://speech.ee.ntu.edu.tw/~hylee/ml/2022-spring.php>，每节课的链接参见课程网站
|
||||
- 课程教材：无
|
||||
- 课程作业：<https://speech.ee.ntu.edu.tw/~hylee/ml/2021-spring.html>，15 个 lab，几乎覆盖了主流深度学习的所有领域
|
||||
- 课程作业：<https://speech.ee.ntu.edu.tw/~hylee/ml/2022-spring.php>，15 个 lab，几乎覆盖了主流深度学习的所有领域
|
||||
|
|
|
|||
22
docs/电子基础/EE16.en.md
Normal file
22
docs/电子基础/EE16.en.md
Normal file
|
|
@ -0,0 +1,22 @@
|
|||
# UCB EE16A&B: Designing Information Devices and Systems I&II
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: UC Berkeley
|
||||
- Prerequisites: None
|
||||
- Programming Languages: Python
|
||||
- Difficulty: 🌟🌟🌟
|
||||
- Class Hour: 150 hours
|
||||
|
||||
This introductory class for freshmen majoring in electronics at UC Berkeley teaches the fundamentals of circuitry. Through a variety of hands-on labs, students will experience collecting information from the environment through sensors and analyzing it to make predictions. Due to the COVID-19, all labs have remote online version, making them ideal for self-study.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: [EE16A](https://inst.eecs.berkeley.edu/~ee16a/su20/), [EE16B](https://eecs16b.org/)
|
||||
- Recordings: [EE16A](https://www.youtube.com/playlist?list=PL6nn4B7IPh8YwpxeJqCoNJ7wh0jme6WNr), [EE16B](https://www.youtube.com/playlist?list=PLfSttCKflps1UrUS1ZaV9KQJkoPFzdZAk)
|
||||
- Textbooks: [EE16A](https://inst.eecs.berkeley.edu/~ee16a/sp22/#notes), [EE16B](https://eecs16b.org/#notes)
|
||||
- Assignments: [EE16A](https://inst.eecs.berkeley.edu/~ee16a/sp22/hw-practice.html), [EE16B](https://eecs16b.org/hw-practice/?)
|
||||
|
||||
## Personal Resources
|
||||
|
||||
All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPig/EE16A - GitHub](https://github.com/PKUFlyingPig/EE16A).
|
||||
|
|
@ -19,4 +19,4 @@ UC Berkeley 电子系学生的大一入门课，通过电路基础知识的讲
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我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](https://github.com/PKUFlyingPig/EE16A) 中。
|
||||
@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](https://github.com/PKUFlyingPig/EE16A) 中。
|
||||
|
|
|
|||
20
docs/电子基础/Signals_and_Systems_AVO.en.md
Normal file
20
docs/电子基础/Signals_and_Systems_AVO.en.md
Normal file
|
|
@ -0,0 +1,20 @@
|
|||
# MIT 6.007 Signals and Systems
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: MIT
|
||||
- Prerequisites: Calculus, Linear Algebra
|
||||
- Programming Languages: Matlab Preferred
|
||||
- Difficulty: 🌟🌟
|
||||
- Class Hour: 50-70 hours
|
||||
|
||||
The name of the instructor: Prof. Alan V. Oppenheim
|
||||
|
||||
Okay, enough reason to take this class.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <https://ocw.mit.edu/resources/res-6-007-signals-and-systems-spring-2011/index.htm>
|
||||
- Recordings: <https://www.bilibili.com/video/BV1CZ4y1j7hs>
|
||||
- Textbooks: Signals and Systems, 2nd Edition
|
||||
- Assignments: <https://ocw.mit.edu/resources/res-6-007-signals-and-systems-spring-2011/assignments>
|
||||
21
docs/电子基础/signal.en.md
Normal file
21
docs/电子基础/signal.en.md
Normal file
|
|
@ -0,0 +1,21 @@
|
|||
# UCB EE120: Signal and Systems
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: UC Berkeley
|
||||
- Prerequisites: CS61A, CS70, Calculus, Linear Algebra
|
||||
- Programming Languages: Python
|
||||
- Difficulty: 🌟🌟🌟🌟🌟
|
||||
- Class Hour: 100 hours
|
||||
|
||||
The highlight of this course is the six exciting labs that will allow you to use signals and systems theory to solve practical problems in Python. For example, in lab3 you will implement the FFT algorithm and compare the performance with Numpy's official implementation. In lab4 you will infer the heart rate by processing the video of fingers. Lab5 is the most awesome one where you will reduce the noise in the photos taken by the Hubble telescope to recover the brilliant and bright starry sky. In lab6 you will build a feedback system to stabilize the pole on the cart.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <https://inst.eecs.berkeley.edu/~ee120/fa19/>
|
||||
- Recordings: refer to the course website
|
||||
- Assignments: refer to the course website
|
||||
|
||||
## Personal Resources
|
||||
|
||||
All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPig/UCB-EE120 - GitHub](https://github.com/PKUFlyingPig/UCB-EE120)
|
||||
|
|
@ -18,4 +18,4 @@
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我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](https://github.com/PKUFlyingPig/UCB-EE120) 中。
|
||||
@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](https://github.com/PKUFlyingPig/UCB-EE120) 中。
|
||||
|
|
|
|||
32
docs/系统安全/CS161.en.md
Normal file
32
docs/系统安全/CS161.en.md
Normal file
|
|
@ -0,0 +1,32 @@
|
|||
# UCB CS161: Computer Security
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: UC Berkeley
|
||||
- Prerequisites: CS61A, CS61B, CS61C
|
||||
- Programming Languages: C, Go
|
||||
- Difficulty: 🌟🌟🌟🌟🌟
|
||||
- Class Hour: 150 Hours
|
||||
|
||||
Computer Security course from UC Berkeley, devided into 5 parts:
|
||||
|
||||
- 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
|
||||
|
||||
The most impressive part to me is Project2, which requires you to design and implement a secure file sharing system in Go. It took me three full days to complete this extremely difficult project, with over 3 thousand lines of code. Such an intensive development experience can greatly enhance your ability to design and implement a secure system.
|
||||
|
||||
In 2020 summer semester, the lecture recordings are posted publicly, which can be found in the links below.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <https://su20.cs161.org/>
|
||||
- Recordings: refer to the course website
|
||||
- Textbooks: <https://textbook.cs161.org/>
|
||||
- Assignments: 7 online HWs + 3 Labs + 3 Projects
|
||||
|
||||
## Personal Resources
|
||||
|
||||
All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPig/UCB-CS161 - GitHub](https://github.com/PKUFlyingPig/UCB-CS161).
|
||||
|
|
@ -16,7 +16,7 @@
|
|||
- 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。
|
||||
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。这样密集型的开发过程，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。
|
||||
|
||||
|
|
@ -24,9 +24,9 @@
|
|||
|
||||
- 课程网站：<https://su20.cs161.org/>
|
||||
- 课程视频：参见课程网站
|
||||
- 课程教材：无
|
||||
- 课程教材：<https://textbook.cs161.org/>
|
||||
- 课程作业：7 个在线 HW + 3 个 Lab + 3 个 Project
|
||||
|
||||
## 资源汇总
|
||||
|
||||
我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](https://github.com/PKUFlyingPig/UCB-CS161) 中。
|
||||
@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](https://github.com/PKUFlyingPig/UCB-CS161) 中。
|
||||
|
|
|
|||
29
docs/系统安全/MIT6.858.en.md
Normal file
29
docs/系统安全/MIT6.858.en.md
Normal file
|
|
@ -0,0 +1,29 @@
|
|||
# MIT 6.858: Computer System Security
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: MIT
|
||||
- Prerequisites: Computer Architecture, basic knowledge about programming and computer system
|
||||
- Programming Languages: C, Python
|
||||
- Difficulty:🌟🌟🌟🌟🌟
|
||||
- Class Hour: 150 hours
|
||||
|
||||
This is MIT's Computer Systems Security course. Lectures cover threat models, attacks that compromise security, and techniques for achieving security, based on recent research papers. Topics include operating system (OS) security, capabilities, information flow control, language security, network protocols, hardware security, and security in web applications.
|
||||
|
||||
Assignments include labs that involve implementing and compromising a secure web server and web application, and a group final project:
|
||||
|
||||
- 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.
|
||||
|
||||
I mainly did Lab 3 in this course. Lab 3 requires you to traverse all the branches of a program by concolic execution, and it is not difficult to do once you understand the idea of symbolic execution. This Lab visually demonstrates the use of symbolic execution.
|
||||
|
||||
In the Final Project, you will build a remote file system, [SecFS](https://www.usenix.org/legacy/event/osdi04/tech/full_papers/li_j/li_j.pdf), that provides both confidentiality and integrity in the face of a completely untrusted server. Reference Papers: [SUNDR](https://www.usenix.org/legacy/event/osdi04/tech/full_papers/li_j/li_j.pdf)
|
||||
|
||||
## Resources
|
||||
|
||||
- Course Website: <http://css.csail.mit.edu/6.858/2022/>
|
||||
- Assignments: refer to the course website
|
||||
- Textbook: None
|
||||
- Assignments: 4 Labs + Final Project / Lab5
|
||||
17
docs/编程入门/CS106B_CS106X.en.md
Normal file
17
docs/编程入门/CS106B_CS106X.en.md
Normal file
|
|
@ -0,0 +1,17 @@
|
|||
# Stanford CS106B/X: Programming Abstractions in C++
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: Stanford
|
||||
- Prerequisites: CS50/CS106A/CS61A or equivalent
|
||||
- Programming Languages: C++
|
||||
- Difficulty: 🌟🌟
|
||||
- Class Hour: 50-70 hours
|
||||
|
||||
CS106B/X are advanced programming courses at Stanford. CS106X is more difficult and in-depth than CS106B, but the main content is similar. Based on programming assignments in C++ language, students will develop the ability to solve real-world problems through programming abstraction. It also covers some simple data structures and algorithms, but is generally not as systematic as a specialized data structures course.
|
||||
|
||||
## Resources
|
||||
|
||||
- Course Website: [CS106B](https://web.stanford.edu/class/cs106b/), [CS106X](https://web.stanford.edu/class/cs106x/)
|
||||
- Textbook: <https://web.stanford.edu/class/cs106x/res/reader/CS106BX-Reader.pdf>
|
||||
- Recordings: <https://www.bilibili.com/video/BV1G7411k7jG>
|
||||
30
docs/编程入门/CS106L.en.md
Normal file
30
docs/编程入门/CS106L.en.md
Normal file
|
|
@ -0,0 +1,30 @@
|
|||
# CS106L: Stanford C++ Programming
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: Stanford
|
||||
- Prerequisites: better if you are already proficient in a programming language
|
||||
- Programming Languages: C++
|
||||
- Difficulty: 🌟🌟🌟
|
||||
- Class Hour: 20 hours
|
||||
|
||||
I've been writing C++ code since freshman year, and it wasn't until I finished this class that I realized the C++ code I was writing was probably just C + `cin`/`cout`.
|
||||
|
||||
This class will dive into a lot of standard C++ features and syntax that will allow you to write quality C++ code. Techniques such as auto binding, uniform initialization, lambda function, move semantics, RAII, etc. have been used repeatedly in my coding career since then and are very useful.
|
||||
|
||||
It is worth mentioning that in this class, you will implement a HashMap (similar to `unordered_map` in STL), which almost ties the whole course together and is a great test of coding skills. Especially after the implementation of `iterator`, I started to understand why Linus is so sarcastic about C/C++, because it is really hard to write correctly.
|
||||
|
||||
In short, the course is not difficult but very informative which requires you to consolidate repeatedly in later practice. The reason why Stanford offers a single C++ programming class is that many of the subsequent CS courses' projects are based on C++. For example, CS144 Computer Networks and CS143 Compilers. Both of these courses are included in this book.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <http://web.stanford.edu/class/cs106l/>
|
||||
- Recordings: <https://www.youtube.com/channel/UCSqr6y-eaQT_qZJVUm_4QxQ/playlists>
|
||||
- Textbook: <http://web.stanford.edu/class/cs106l/full_course_reader.pdf>
|
||||
- Assignment1 Download: <https://github.com/snme/cs106L-assignment1>
|
||||
- Assignment2 Download: <https://github.com/snme/cs106L-assignment2>
|
||||
- Assignments: refer to the course website
|
||||
|
||||
## Personal Resources
|
||||
|
||||
All the resources and assignments used by @PKUFlyingPig are maintained in [PKUFlyingPig/CS106L - GitHub](https://github.com/PKUFlyingPig/CS106L).
|
||||
|
|
@ -29,4 +29,4 @@
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我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](https://github.com/PKUFlyingPig/CS106L) 中。
|
||||
@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](https://github.com/PKUFlyingPig/CS106L) 中。
|
||||
|
|
|
|||
28
docs/编程入门/CS110L.en.md
Normal file
28
docs/编程入门/CS110L.en.md
Normal file
|
|
@ -0,0 +1,28 @@
|
|||
# CS110L: Safety in Systems Programming
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: Stanford
|
||||
- Prerequisites: basic knowledge about programming and computer system
|
||||
- Programming Languages: Rust
|
||||
- Difficulty: 🌟🌟🌟
|
||||
- Class Hour: 30 hours
|
||||
|
||||
In this course, you will learn a fantastic language, Rust.
|
||||
|
||||
If you have studied C and have some knowledge of systems programming, you should have heard about memory leaks and the danger of pointers, but C's high efficiency makes it impossible to be replaced by other higher-level languages with garbage collection such as Java in system-level programming. Whereas Rust aims to make up for C's lack of security while having competitive efficiency. Therefore, Rust was designed from a system programmer's point of view. By learning Rust, you will learn the principles to write safer and more elegant system code (e.g., operating systems, etc.).
|
||||
|
||||
The latter part of this course focuses on the topic of concurrency, where you will systematically learn multi-processing, multi-threading, event-driven programming, and several other techniques. In the second project, you will compare the pros and cons of each method.
|
||||
|
||||
Personally, I find the concept of "futures" in Rust fascinating and elegant, and mastering this idea will help you in your following systems-related courses. In addition, Tsinghua University's operating system lab, rCore is based on Rust. You can see the [documentation](https://rcore-os.github.io/rCore-Tutorial-Book-v3/index.html) for more details.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <https://reberhardt.com/cs110l/spring-2020/>
|
||||
- Recordings: <https://youtu.be/j7AQrtLevUE>
|
||||
- Textbook: None
|
||||
- Assignments: 6 Labs, 2 Projects, the course website has specific requirements. The projects are quite interesting where you will Implement a GDB-like debugger and a load balancer in Rust.
|
||||
|
||||
## Personal Resources
|
||||
|
||||
All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPig/CS110L - GitHub](https://github.com/PKUFlyingPig/CS110L)
|
||||
|
|
@ -25,4 +25,4 @@
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我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](https://github.com/PKUFlyingPig/CS110L) 中。
|
||||
@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](https://github.com/PKUFlyingPig/CS110L) 中。
|
||||
|
|
|
|||
17
docs/编程入门/CS50.en.md
Normal file
17
docs/编程入门/CS50.en.md
Normal file
|
|
@ -0,0 +1,17 @@
|
|||
# CS50: This is CS50x
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: Harvard
|
||||
- Prerequisites: None
|
||||
- Programming Languages: C, Python, SQL, HTML, CSS, JavaScript
|
||||
- Difficulty: 🌟🌟
|
||||
- Class Hour: 20 hours
|
||||
|
||||
This course has been voted the most popular public course by Harvard students for many years. Professor Malan is very passionate in class. I still remember the scene where he tears up the Yellow pages to explain the dichotomy method. Since this is a university-wide public course, the contents are pretty friendly to beginners and even if you already have some programming experience, all the programming assignments are quite exciting and worth a try.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <https://cs50.harvard.edu/x/2022/>
|
||||
- Recordings: <https://cs50.harvard.edu/x/2022/>
|
||||
- Assignments: <https://cs50.harvard.edu/x/2022/>
|
||||
34
docs/编程入门/CS61A.en.md
Normal file
34
docs/编程入门/CS61A.en.md
Normal file
|
|
@ -0,0 +1,34 @@
|
|||
# CS61A: Structure and Interpretation of Computer Programs
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: UC Berkeley
|
||||
- Prerequisites: None
|
||||
- Programming Languages: Python, Scheme, SQL
|
||||
- Difficulty: 🌟🌟
|
||||
- Class Hour: 50 hours
|
||||
|
||||
This is the first course in the Berkeley CS61 series, and my introductory course to Python.
|
||||
|
||||
The CS61 series is composed of introductory courses to the CS major at Berkeley, where
|
||||
|
||||
- CS61A: Emphasizes abstraction and equips students to use programs to solve real-world problems without focusing on the underlying hardware details.
|
||||
- CS61B: Focuses on algorithms and data structures and the construction of large-scale programs, where students combine knowledge of algorithms and data structures with the Java language to build large-scale projects at the thousand-line code level (such as a simple Google Maps, a two-dimensional version of Minecraft).
|
||||
- CS61C: Focusing on computer architecture, students will understand how high-level languages (e.g. C) are converted step-by-step into machine-understandable bit strings and executed on CPUs. Students will learn about the RISC-V architecture and implement a CPU on their own by using Logism.
|
||||
|
||||
CS61B and CS61C are both included in this guidebook.
|
||||
|
||||
Going back to CS61A, you will note that this is not just a programming language class, but goes deeper into the principles of program construction and operation. Finally you will implement an interpreter for Scheme in Python in Project 4. In addition, abstraction will be a major theme in this class, as you will learn about functional programming, data abstraction, object orientation, etc. to make your code more readable and modular. Of course, learning a programming language is also a big part of this course. You will master three programming languages, Python, Scheme, and SQL, and in learning and comparing them, you will be equiped with the ability to quickly master a new programming language.
|
||||
|
||||
Note: If you have no prior programming experience at all, getting started with CS61A requires a relatively high level of learning ability and self-discipline. To avoid the frustration of a struggling experience, you may choose a more friendly introductory programming course at first. For example, [CS10](https://cs10.org/sp22/) at Berkeley or [CS50](https://csdiy.wiki/编程入门/CS50/) at Harvard are both good choices.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <https://inst.eecs.berkeley.edu/~cs61a/su20/>
|
||||
- Recordings: refer to the course website
|
||||
- Textbook: <http://composingprograms.com/>
|
||||
- Assignments: refer to the course website
|
||||
|
||||
## Personal Resources
|
||||
|
||||
All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPig/CS61A - GitHub](https://github.com/PKUFlyingPig/CS61A)
|
||||
|
|
@ -31,4 +31,4 @@ CS61B 和 CS61C 在本书中均有收录。
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我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](https://github.com/PKUFlyingPig/CS61A) 中。
|
||||
@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/CS61A - GitHub](https://github.com/PKUFlyingPig/CS61A) 中。
|
||||
|
|
|
|||
29
docs/编程入门/Duke-Coursera-Intro-C.en.md
Normal file
29
docs/编程入门/Duke-Coursera-Intro-C.en.md
Normal file
|
|
@ -0,0 +1,29 @@
|
|||
# Introductory C Programming Specialization
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: Duke
|
||||
- Prerequisites: None
|
||||
- Programming Languages: C
|
||||
- Difficulty: 🌟🌟🌟🌟
|
||||
- Class Hour: 110 hours
|
||||
|
||||
This is an excellent course which I benefited a lot from.
|
||||
|
||||
- The course teaches fundamental concepts such as frame, stack memory, heap memory, etc.
|
||||
- There are great programming assignments to deepen and reinforce your understanding of the hardest part in C, like pointers.
|
||||
- The course provides excellent practice in GDB, Valgrind, and the assignments will cover some basic Git exercises.
|
||||
- The course instructor recommends using Emacs for homework, so it's a good opportunity to learn Emacs. If you already know how to use Vim, I suggest you use Evil. This way you don't lose the editing capabilities of Vim, and you get to experience the power of Emacs. Having both Emacs and Vim in your kit will increase your efficiency considerably. Emacs' org-mode, smooth integration of GDB, etc., are convenient for developers.
|
||||
- It may require payment, but I think it's worth it.
|
||||
- Although this is an introductory course, it has both breadth and depth.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <https://www.coursera.org/specializations/c-programming>
|
||||
- Recordings: refer to the course website
|
||||
- Textbook: refer to the course website
|
||||
- Assignments: refer to the course website
|
||||
|
||||
## Personal Resources
|
||||
|
||||
All the resources and assignments used by in this course are maintained in [Duke Coursera Intro C](https://code.haidongji.com/Duke_Coursera_Intro_C/). Several assignments have not been completed so far for time reasons.
|
||||
|
|
@ -15,7 +15,6 @@
|
|||
- 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
|
||||
|
|
@ -27,4 +26,4 @@
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我在学习这门课中的作业实现都汇总在 [Duke Coursera Intro C](https://code.haidongji.com/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。
|
||||
@haidongji 在学习这门课中的作业实现都汇总在 [Duke Coursera Intro C](https://code.haidongji.com/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。
|
||||
|
|
|
|||
17
docs/编程入门/MIT-Missing-Semester.en.md
Normal file
17
docs/编程入门/MIT-Missing-Semester.en.md
Normal file
|
|
@ -0,0 +1,17 @@
|
|||
# MIT: The Missing Semester of Your CS Education
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: MIT
|
||||
- Prerequisites: None
|
||||
- Programming Languages: Shell
|
||||
- Difficulty: 🌟🌟
|
||||
- Class Hour: 10 hours
|
||||
|
||||
Just as the course name indicated, this course will teach the missing things in the university courses. It will cover shell programming, git, vim editor, tmux, ssh, sed, awk and even how to beautify your terminal. Trust me, this will be your first step to become a hacker!
|
||||
|
||||
## Resources
|
||||
|
||||
- Homepage: <https://missing.csail.mit.edu/>
|
||||
- Records: <https://www.youtube.com/playlist?list=PLyzOVJj3bHQuloKGG59rS43e29ro7I57J>
|
||||
- Assignments: Some exercises after each lecture.
|
||||
|
|
@ -21,4 +21,4 @@
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我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](https://github.com/skyzluo/CS143-Compilers-Stanford) 中。
|
||||
@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](https://github.com/skyzluo/CS143-Compilers-Stanford) 中。
|
||||
|
|
|
|||
|
|
@ -11,7 +11,6 @@
|
|||
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。
|
||||
|
|
@ -31,4 +30,4 @@ GAMES101 是国内相当有名的图形学公开课。和大家印象中满是
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我们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](https://github.com/ysj1173886760/Learning/tree/master/graphics/GAMES101) 中。
|
||||
@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](https://github.com/ysj1173886760/Learning/tree/master/graphics/GAMES101) 中。
|
||||
|
|
|
|||
|
|
@ -27,7 +27,5 @@
|
|||
- 课程作业：共四次作业，可见官方BBS小程序或非官方的Repo：[GAMES103 HW](https://github.com/indevn/GAMES103/tree/main/HW)
|
||||
|
||||
## 资源汇总
|
||||
我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](https://github.com/indevn/GAMES103) 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。
|
||||
|
||||
|
||||
|
||||
@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](https://github.com/indevn/GAMES103) 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。
|
||||
|
|
|
|||
35
docs/计算机网络/CS144.en.md
Normal file
35
docs/计算机网络/CS144.en.md
Normal file
|
|
@ -0,0 +1,35 @@
|
|||
# CS144: Computer Network
|
||||
|
||||
## Introduction
|
||||
|
||||
- Offered by: Stanford
|
||||
- Prerequisites: Computer System Fundamentals, CS106L
|
||||
- Programming Language: C++
|
||||
- Difficulty: 🌟🌟🌟🌟🌟
|
||||
- Class Hour: 100 hours
|
||||
|
||||
One of the lecturers of this course is Professor [Nick McKeown](http://yuba.stanford.edu/~nickm/index.html), a giant in the field of Networking. At the end of each chapter of MOOC, he will interview an executive in the industry or an expert in the academia, which can certainly broaden your horizons.
|
||||
|
||||
In the projects, you will use C++ to build the entire TCP/IP protocol stack, the IP router, and the ARP protocol step by step from scratch. Finally, you will replace Linux Kernel's protocol stack with your own and use socket programming to communicate with your classmates, which is really amazing and exciting.
|
||||
|
||||
## Resources
|
||||
|
||||
- Course Website: <https://cs144.github.io/>
|
||||
- Video: <https://www.youtube.com/watch?v=r2WZNaFyrbQ&list=PL6RdenZrxrw9inR-IJv-erlOKRHjymxMN>
|
||||
- Textbook: None
|
||||
- Assignments: refer to the course website
|
||||
|
||||
## Reference
|
||||
|
||||
- [PKUFlyingPig](https://github.com/PKUFlyingPig/CS144-Computer-Network)
|
||||
- [Lexssama's Blogs](https://lexssama.github.io/tags/CS144/)
|
||||
- [huangrt01](https://github.com/huangrt01/CS-Notes/blob/master/Notes/Output/Computer-Networking-Lab-CS144-Stanford.md)
|
||||
- [kiprey](https://kiprey.github.io/tags/CS144/)
|
||||
- [康宇PL's Blog](https://www.cnblogs.com/kangyupl/p/stanford_cs144_labs.html)
|
||||
- [doraemonzzz](http://doraemonzzz.com/tags/CS144/)
|
||||
- [ViXbob's libsponge](https://vixbob.moe/25.html)
|
||||
- [吃着土豆坐地铁的博客](https://www.epis2048.net/categories/Code/Stanford-CS144/)
|
||||
- [Smith](https://www.inlighting.org/archives/2021-cs144-notes/)
|
||||
- [星遥见](https://www.cnblogs.com/weijunji/tag/CS144/)
|
||||
- [EIMadrigal](https://www.cnblogs.com/EIMadrigal/p/15500472.html)
|
||||
- [Joey](http://yuzijun.life/2021-02/CS144)
|
||||
|
|
@ -21,10 +21,7 @@
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我在学习这门课中用到的所有资源和作业实现都汇总在 [PKUFlyingPig/CS144-Computer-Network - GitHub](https://github.com/PKUFlyingPig/CS144-Computer-Network) 中。
|
||||
|
||||
### 一些可以参考的博客
|
||||
|
||||
- [PKUFlyingPig](https://github.com/PKUFlyingPig/CS144-Computer-Network)
|
||||
- [Lexssama's Blogs](https://lexssama.github.io/tags/CS144/)
|
||||
- [huangrt01](https://github.com/huangrt01/CS-Notes/blob/master/Notes/Output/Computer-Networking-Lab-CS144-Stanford.md)
|
||||
- [kiprey](https://kiprey.github.io/tags/CS144/)
|
||||
|
|
@ -33,7 +30,6 @@
|
|||
- [ViXbob's libsponge](https://vixbob.moe/25.html)
|
||||
- [吃着土豆坐地铁的博客](https://www.epis2048.net/categories/Code/Stanford-CS144/)
|
||||
- [Smith](https://www.inlighting.org/archives/2021-cs144-notes/)
|
||||
- [PKUFlyingPig](https://github.com/PKUFlyingPig/CS144-Computer-Network)
|
||||
- [星遥见](https://www.cnblogs.com/weijunji/tag/CS144/)
|
||||
- [EIMadrigal](https://www.cnblogs.com/EIMadrigal/p/15500472.html)
|
||||
- [Joey](http://yuzijun.life/2021-02/CS144)
|
||||
|
|
|
|||
22
docs/计算机网络/topdown.en.md
Normal file
22
docs/计算机网络/topdown.en.md
Normal file
|
|
@ -0,0 +1,22 @@
|
|||
# Computer Networking: A Top-Down Approach
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: UMass
|
||||
- Prerequisites: basic knowledge about computer system
|
||||
- Programming Languages: None
|
||||
- Difficulty: 🌟🌟🌟
|
||||
- Class Hour: 40 hours
|
||||
|
||||
*Computer Networking: A Top-Down Approach* is a classic textbook in the field of computer networking. The two authors, Jim Kurose and Keith Ross, have carefully crafted a course website to support the textbook, with lecture recordings, interactive online questions, and WireShark labs for network packet analysis. The only pity is that this course doesn't have hardcore programming assignments, and Stanford's [CS144](./CS144.en.md) makes up for that.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <https://gaia.cs.umass.edu/kurose_ross/index.php>
|
||||
- Recordings: <https://gaia.cs.umass.edu/kurose_ross/lectures.php>
|
||||
- Textbooks: Computer Networking: A Top-Down Approach
|
||||
- Assignments: <https://gaia.cs.umass.edu/kurose_ross/wireshark.php>
|
||||
|
||||
## Personal Resources
|
||||
|
||||
All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPig/Computer-Network-A-Top-Down-Approach - GitHub](https://github.com/PKUFlyingPig/Computer-Network-A-Top-Down-Approach).
|
||||
|
|
@ -19,4 +19,4 @@
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我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](https://github.com/PKUFlyingPig/Computer-Network-A-Top-Down-Approach) 中。
|
||||
@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](https://github.com/PKUFlyingPig/Computer-Network-A-Top-Down-Approach) 中。
|
||||
|
|
|
|||
23
docs/计算机网络/topdown_ustc.en.md
Normal file
23
docs/计算机网络/topdown_ustc.en.md
Normal file
|
|
@ -0,0 +1,23 @@
|
|||
# USTC Computer Networking:A Top-Down Approach
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: USTC
|
||||
- Instructor: Quan Zheng, Jian Yang
|
||||
- Prerequisites: operating system (not required)
|
||||
- Programming Languages: None
|
||||
- Difficulty: 🌟🌟🌟
|
||||
- Class Hour: 40 hours
|
||||
|
||||
This course is a well-known computer networking course on the Chinese Internet, it adopts the renowned textbook: _Computer Networking: A Top-Down Approach, 7th Edition_. This a practical course that is not limited to theoretical knowledge, but it is **Strongly recommended** to read the textbook before watching videos, otherwise you _may_ not catch up with the course easily.
|
||||
|
||||
|
||||
The course covers the **majority** of the textbook and also **includes** exam content, so enjoy it.
|
||||
|
||||
The recordings of the lectures were uploaded by Prof. Zheng himself on Bilibili. Moreover, he has been answering questions in the comments below the videos since 2020, which is very patient and responsible.
|
||||
## Resources
|
||||
|
||||
- Course Website: <http://staff.ustc.edu.cn/~qzheng/teaching.html>
|
||||
- Recordings: <https://www.bilibili.com/video/BV1JV411t7ow/>
|
||||
- Slides: <http://staff.ustc.edu.cn/~qzheng/cn.zip>
|
||||
- Textbook: _Computer Networking: A Top-Down Approach, 7th Edition_
|
||||
|
|
@ -19,12 +19,5 @@
|
|||
|
||||
- 课程网站：<http://staff.ustc.edu.cn/~qzheng/teaching.html>
|
||||
- 课程视频：<https://www.bilibili.com/video/BV1JV411t7ow/>
|
||||
- 课程课件：<http://staff.ustc.edu.cn/~qzheng/cn.zip>
|
||||
- 课程教材：计算机网络（自顶向下方法 第7版），机械工业出版社，2016
|
||||
|
||||
## 资源汇总
|
||||
|
||||
课程课件：<http://staff.ustc.edu.cn/~qzheng/cn.zip>
|
||||
|
||||
## 备注
|
||||
|
||||
根据[USTC评课社区](https://icourse.club/course/6266/)里对该课的评价，该课有实验且有一半课会点名，科大学生慎选。
|
||||
33
docs/软件工程/6031.en.md
Normal file
33
docs/软件工程/6031.en.md
Normal file
|
|
@ -0,0 +1,33 @@
|
|||
# MIT 6.031: Software Construction
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: MIT
|
||||
- Prerequisites: better if you are already proficient in a programming language
|
||||
- Programming Languages: Java
|
||||
- Difficulty: 🌟🌟🌟🌟
|
||||
- Class Hour: 100 hours
|
||||
|
||||
The goal of this course is for you to learn how to write high quality code, and what is meant by high quality is to meet the following three targets:
|
||||
|
||||
> 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.
|
||||
|
||||
To achieve this, the instructors write a book explaining many of the core principles of software construction and valuable lessons learned from the past. The book covers many practical topics such as how to write comments and specifications, how to design abstract data structures, and many parallel programming caveats. You will explore all of these ideas in the programming assignments.
|
||||
|
||||
In the 2016 spring, the course open-sourced all of its programming assignments, and the textbook can be found on the latest website (see links below).
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: [2021spring](http://web.mit.edu/6.031/www/sp21/), [2016spring](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-005-software-construction-spring-2016/)
|
||||
- Recordings: None
|
||||
- Assignments: 4 Problem Sets + 1 Project
|
||||
|
||||
## Personal Resources
|
||||
|
||||
All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPig/ MIT6.031-Software-Engineering - GitHub](https://github.com/PKUFlyingPig/MIT6.031-software-construction)
|
||||
|
||||
@pengzhangzhi completed the assignments and took some notes, maintained at [pengzhangzhi/self-taught-CS/Software Construction - Github](https://github.com/pengzhangzhi/self-taught-CS/tree/main/Software%20Construction)
|
||||
|
|
@ -29,4 +29,6 @@
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我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](https://github.com/PKUFlyingPig/MIT6.031-software-construction) 中。
|
||||
@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](https://github.com/PKUFlyingPig/MIT6.031-software-construction) 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](https://github.com/pengzhangzhi/self-taught-CS/tree/main/Software%20Construction)。
|
||||
|
|
|
|||
24
docs/软件工程/CS169.en.md
Normal file
24
docs/软件工程/CS169.en.md
Normal file
|
|
@ -0,0 +1,24 @@
|
|||
# UCB CS169: software engineering
|
||||
|
||||
## Descriptions
|
||||
|
||||
- Offered by: UC Berkeley
|
||||
- Prerequisites: None
|
||||
- Programming Languages: Ruby/JavaScript
|
||||
- Difficulty: 🌟🌟🌟🌟
|
||||
- Class Hour: 100 hours
|
||||
|
||||
This is Berkeley's software engineering course. Unlike many traditional software engineering courses that emphasize UML diagrams, plans, and documents, this course adopts agile development methodologies and uses the cloud platform to provide software as a service. The instructors wrote a textbook [Software as a service](https://github.com/PKUFlyingPig/CS169-Software-Engineering/blob/master/saasbook.pdf) to explain the concept of SaaS and agile development. Also, there are plenty of programming assignments using Ruby + Rails framework.
|
||||
|
||||
This course is available on [Edx](https://www.edx.org/), an online education platform sponsored by MIT and Harvard, where you can search for the course `Agile SaaS Development` and learn it yourself. The course content follows the textbook's order and takes you to build software step by step in an agile development way and deploy it on the cloud platform for free.
|
||||
|
||||
## Course Resources
|
||||
|
||||
- Course Website: <http://www.saasbook.info/courses>
|
||||
- Recordings: refer to the course website.
|
||||
- Textbook: [Software as a service](https://github.com/PKUFlyingPig/CS169-Software-Engineering/blob/master/saasbook.pdf)
|
||||
- Assignments: refer to the course website
|
||||
|
||||
## Personal Resources
|
||||
|
||||
All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPig/CS169-Software-Engineering - GitHub](https://github.com/PKUFlyingPig/CS169-Software-Engineering)
|
||||
|
|
@ -12,7 +12,7 @@
|
|||
|
||||
[Software_as_a_service]: https://github.com/PKUFlyingPig/CS169-Software-Engineering/blob/master/saasbook.pdf
|
||||
|
||||
这门课在 [Edx](https://www.edx.org/) 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。
|
||||
这门课在 [Edx](https://www.edx.org/) 这个由 MIT 和 Harvard 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
|
||||
|
||||
|
|
@ -23,4 +23,4 @@
|
|||
|
||||
## 资源汇总
|
||||
|
||||
我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](https://github.com/PKUFlyingPig/CS169-Software-Engineering) 中。
|
||||
@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](https://github.com/PKUFlyingPig/CS169-Software-Engineering) 中。
|
||||
|
|
|
|||
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