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https://github.com/alwqx/awesome-cs-course
awesome university cs core courses
https://github.com/alwqx/awesome-cs-course
List: awesome-cs-course
awesome awesome-list computer-science course
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awesome university cs core courses
- Host: GitHub
- URL: https://github.com/alwqx/awesome-cs-course
- Owner: alwqx
- Created: 2019-08-29T14:23:15.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-02-04T13:52:39.000Z (11 months ago)
- Last Synced: 2024-05-23T07:15:10.024Z (7 months ago)
- Topics: awesome, awesome-list, computer-science, course
- Homepage: https://git.io/cscourse
- Size: 31.3 KB
- Stars: 98
- Watchers: 6
- Forks: 19
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- ultimate-awesome - awesome-cs-course - Awesome university cs core courses. (Other Lists / Monkey C Lists)
README
# Awesome CS Course
[Chinese Edition](README_cn.md)
> some awesome CS core courses of MIT, UC Berkeley, Stanford and CMU from the Internet.
## LLM
| Field | Course | Source |
| :-----: | :------------------------------------------------------------------------------------------------------------------------------------------------------ | :-------------- |
| ChatGPT | [ChatGPT Prompt Engineering for Developers](https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/) | deeplearning.ai |
| ChatGPT | [Building Systems with the ChatGPT API](https://www.deeplearning.ai/short-courses/building-systems-with-chatgpt/) | deeplearning.ai |
| ML | [Generative AI for Everyone](https://www.deeplearning.ai/courses/generative-ai-for-everyone/) | deeplearning.ai |
| LLM | [Generative AI with LLMs](https://www.deeplearning.ai/courses/generative-ai-with-llms/) | deeplearning.ai |
| LLM | [Finetuning Large Language Models](https://www.deeplearning.ai/short-courses/finetuning-large-language-models/) | deeplearning.ai |
| LLM | [Large Language Models with Semantic Search](https://www.deeplearning.ai/short-courses/large-language-models-semantic-search/) | deeplearning.ai |
| LLM | [Automated Testing for LLMOps](https://www.deeplearning.ai/short-courses/automated-testing-llmops/) | deeplearning.ai |
| LLM | [LLMOps](https://www.deeplearning.ai/short-courses/llmops/) | deeplearning.ai |
| LLM | [Advanced Retrieval for AI with Chroma](https://www.deeplearning.ai/short-courses/advanced-retrieval-for-ai/) | deeplearning.ai |
| LLM/ML | [Reinforcement Learning from Human Feedback](https://www.deeplearning.ai/short-courses/reinforcement-learning-from-human-feedback/) | deeplearning.ai |
| LLM | [Building and Evaluating Advanced RAG Applications](https://www.deeplearning.ai/short-courses/building-evaluating-advanced-rag/) | deeplearning.ai |
| LLM | [Understanding Large Language Models](https://www.cs.princeton.edu/courses/archive/fall22/cos597G/) | Princeton |
| LLM | [CS324 - Large Language Models](https://stanford-cs324.github.io/winter2022/) | Stanford |
| LLM | [CS224N-Lecture 11: Prompting, Instruction Finetuning, and RLHF](https://web.stanford.edu/class/cs224n/slides/cs224n-2023-lecture11-prompting-rlhf.pdf) | Stanford |
## MIT
| Field | Course |
| :---------------------------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| Algorithm | [6.006 Introduction to Algorithms](https://courses.csail.mit.edu/6.006/) |
| Operation System | [6.828 Operating Systems](https://pdos.csail.mit.edu/6.828/2019/) |
| Distributed System | [6.824 Distributed Systems](https://pdos.csail.mit.edu/6.824/) |
| Computer Network | [6.207[J] Networks]() |
| Computer Architecture | [6.004 Computation Structures](https://computationstructures.org/) |
| Compilers | [6.035 Computer Language Engineering](http://web.mit.edu/6.035/) |
| Database | [6.830/6.814: Database Systems](http://db.csail.mit.edu/6.830/) |
| 计算机程序的构造和解释 | [6.001 Structure and Interpretation of Computer Programs](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-001-structure-and-interpretation-of-computer-programs-spring-2005/) |
| The Missing Semester of Your CS Education | [The Missing Semester of Your CS Education](https://missing.csail.mit.edu/) |
## Stanford
Field
Course
Operation System
CS 107 Computer Organization & Systems
CS 107E Computer Systems from the Ground Up
CS 110 Principles of Computer Systems
CS 140 Operating Systems
CS 240 Advanced Topics in Operating Systems
Algorithm
CS 161 Design and Analysis of Algorithms
Computer Network
CS 155 Computer and Network Security
Compilers
CS 143 Compiler construction
Database
CS 245 Principles of Data-Intensive Systems
ML
CS 221 CS221: Artificial Intelligence: Principles and Techniques
Numerical Optimization
CME 304 Numerical Optimization
## CMU
| Field | Course |
| :-------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| Algorithm | [15-451/651: Algorithms](http://www.cs.cmu.edu/afs/cs/academic/class/15451-s18/www/) |
| Operation System | [15-213 Introduction to Computer Systems](http://www.cs.cmu.edu/~213/) |
| Distributed Systems | [15-440 Distributed Systems](http://www.cs.cmu.edu/~srini/15-440/) & [course profiles](https://csd.cs.cmu.edu/course-profiles/15-440_640-distributed-systems) |
| Computer Network | [15-441/641 Computer Networks](https://computer-networks.github.io/sp19/) |
| Computer Architecture | [18-447 Introduction to Computer Architecture]() |
| Compilers | [15-411 Compiler Design](https://www.cs.cmu.edu/~fp/courses/15411-f13/) |
| Database | [15-445/645 Database Systems](https://15445.courses.cs.cmu.edu) |
## UC Berkeley
| Field | Course |
| :--------------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Algorithm | [CS61B Data Structures ](http://www-inst.eecs.berkeley.edu/~cs61b) |
| Operation System | [CS162 Operating Systems and System Programming](https://cs162.eecs.berkeley.edu/) |
| Computer Network | [CS168 Introduction to the Internet](http://www-inst.eecs.berkeley.edu/~cs168) |
| Computer Architecture | [CS152 Computer Architecture and Engineering](http://www-inst.eecs.berkeley.edu/~cs152) |
| Compilers | [CS164 Programming Languages and Compilers](http://www-inst.eecs.berkeley.edu/~cs164) |
| Database | [CS186 Introduction to Database Systems](http://www-inst.eecs.berkeley.edu/~cs186) |
| 计算机程序的构造和解释 | [CS61A Structure and Interpretation of Computer Programs](https://cs61a.org/) && [SICP of Python 描述 中文版](https://github.com/wizardforcel/sicp-py-zh) |
| AI | [CS188 Introduction to Artificial Intelligence](http://www-inst.eecs.berkeley.edu/~cs188) |
| ML | [CS189 Introduction to Machine Learning](http://www-inst.eecs.berkeley.edu/~cs189) |
All courses of UC Berkeley can be found in [EECS Course WEB Sites](http://www-inst.eecs.berkeley.edu/classes-eecs.html).
## Shanghai Jiao Tong University
| Field | Course |
| :--------------------: | :-------------------------------------------------------------------- |
| Reinforcement Learning | [CS26015, Fall 2019](http://www.cs.sjtu.edu.cn/~zou-jn/teaching.html) |
## NYU
| Field | Course |
| :--------------: | :----------------------------------------------------------------------- |
| Machine Learning | [DS-GA 1003, Spring 2019](https://davidrosenberg.github.io/ml2019/#home) |
## Summary
CS courses of university are helpful for us to learn computer science.As long as we stick to the right direction, keep working hard and adjust ourselves, everyone will make progress!
## Reference
- [chaozh/MIT-6.824](https://github.com/chaozh/MIT-6.824)
- [aQuaYi/MIT-6.824-Distributed-Systems](https://github.com/aQuaYi/MIT-6.824-Distributed-Systems)
- [机器学习最好的课程是什么？](https://www.zhihu.com/question/37031588)
- [MIT pdos GitHub](https://github.com/mit-pdos/)
- [研究了美国四大计算机名校的培养方案，核心课程都在这了](https://mp.weixin.qq.com/s/39Un5UkLULC39s3PX10AbA)
- [awesome-courses](https://github.com/prakhar1989/awesome-courses)
- [全民 CS、校训就是搬砖，这所学校计算机顶尖是有原因的](https://mp.weixin.qq.com/s/Nm4doXPPDzJJS0RSU5YSkA)
- [为了培养计算机学生，这所学校把地租给科技公司，没想到。.....](https://mp.weixin.qq.com/s/deq-cT9139bJF7UGN4H8cA)
- [麻省理工学院是如何培养计算机学生的](https://mp.weixin.qq.com/s/eS-9OWZ1nWSPcrNd_GbuVA)
- [UC Berkeley EECS 系是如何培养计算机学生的](https://mp.weixin.qq.com/s/P2tNxWQW8nIewvw_jHdhFQ)
- [CMU 2015 15-213 BiliBili videos](https://www.bilibili.com/video/av12977597)
- [知乎-如何的才能更好的学习 MIT6.824Distributed System 课程？
](https://www.zhihu.com/question/29597104)
- [GitHub-phil-opp/blog_os](https://github.com/phil-opp/blog_os)
- [oscourse-tsinghua/rcore_plus](https://github.com/oscourse-tsinghua/rcore_plus)
- [值得留给子孙后代的计算机课程](https://zhuanlan.zhihu.com/p/39030715)
### For Database
- [Database System Concepts Seventh Edition](https://www.db-book.com/db7/index.html)
- [GitHub of CMU DB](https://github.com/cmu-db)