https://zhuanlan.zhihu.com/p/102083014
今天我们带来本系列第2篇：加州大学伯克利分校CS课程全集的整理。本系列今后将持续保持一周一更的频率，想学习更多请点击关注专栏大学模拟器，点赞支持，或搜索关注公众号（也可以扫描下方二维码）：Univ模拟器。最近正在开放大学模拟器论坛注册，可以在公众号后台发邮箱地址获取注册邀请邮件，近期将上传几门UCB的CS课程的含字幕视频。
课程链接
CS C8. Foundations of Data Science
CS 9A. Matlab for Programmers
http://www-inst.eecs.berkeley.edu/~selfpace/matlab/
CS 9C. C for Programmers
http://www-inst.eecs.berkeley.edu/~selfpace/c/
CS 9D. Scheme and Functional Programming for Programmers
CS 9E. Productive Use of the UNIX Environment
http://www-inst.eecs.berkeley.edu/~selfpace/unix/
CS 9F: C++ for Programmers
http://www-inst.eecs.berkeley.edu/~selfpace/cpp/
CS 9G. JAVA for Programmers
http://www-inst.eecs.berkeley.edu/~selfpace/java
CS 9H. Python for Programmers
http://www-inst.eecs.berkeley.edu/~selfpace/python/
CS 10. The Beauty and Joy of Computing
CS 47B: Completion of Work in Computer Science 61B
http://www-inst.eecs.berkeley.edu/~selfpace/47b/
CS 47A. Completion of Work in Computer Science 61A
CS 39-001: SYMMETRY & TOPOLOGY
CS 61A. The Structure and Interpretation of Computer Programs
CS61AS: The Structure and Interpretation of Computer Programs
CS 61B: Data Structures
CS 61BL: Data Structures and Programming Methodology
CS 61C. Machine Structures
CS 70. Discrete Mathematics and Probability Theory
CS 88. Computational Structures in Data Science
CS 97. Field Study
http://inst.eecs.berkeley.edu/~cs97/sp15
CS98/198 Directed Group Studies for Advanced Undergraduates
CS C100. Principles & Techniques of Data Science
CS152/ CS252: Computer Architecture and Engineering
Home Page for UCB CS152/CS252, Spring 2019
CS 160. User Interface Design and Development
CS 161 : Computer Security
CS 162. Operating Systems and System Programming
CS 164. Programming Languages and Compilers
Programming Languages and Compilers, Spring 2019
CS 168. Introduction to the Internet: Architecture and Protocols
http://inst.eecs.berkeley.edu/~cs168/fa16/
CS 169. Software Engineering
Software Engineering (Spring 2019)
CS 170. Efficient Algorithms and Intractable Problems
CS 171. Cryptography
http://inst.eecs.berkeley.edu/~cs171
CS 172. Computability and Complexity
CS 174. Combinatorics and Discrete Probability
CS 176. Algorithms for Computational Biology
CS 182. Designing, Visualizing and Understanding Deep Neural Networks
CS 184. Foundations of Computer Graphics
CS 186. Introduction to Database Systems
CS 188. Introduction to Artificial Intelligence
Introduction to Artificial Intelligence, Fall 2019
CS 189. Introduction to Machine Learning
Chem/CS/Phys191: Qubits, Quantum Mechanics, and Computers
CS 194. Special Topics
CS 195. Social Implications of Computer Technology
Social Implications of Computer Technology
CS98/198 Directed Group Studies for Advanced Undergraduates
CS C200A. Principles and Techniques of Data Science
http://inst.eecs.berkeley.edu/~cs200a
CS C249A. Introduction to Embedded Systems
http://inst.eecs.berkeley.edu/~cs249a
CS 250. VLSI Systems Design
Home Page for UCB CS250, Spring 2017
CS 252. Graduate Computer Architecture
Home Page for UCB CS152/CS252, Spring 2018
CS 260A. User Interface Design and Development
http://inst.eecs.berkeley.edu/~cs260a
http://inst.eecs.berkeley.edu/~cs260b
CS 261. Security in Computer Systems
CS 262A. Advanced Topics in Computer Systems
CS 262B. Advanced Topics in Computer Systems
CS 263. Design of Programming Languages
CS 264. Implementation of Programming Languages
CS 265. Compiler Optimization and Code Generation
http://inst.eecs.berkeley.edu/~cs265
CS C267. Applications of Parallel Computers
https://sites.google.com/lbl.gov/cs267-spr2019/
CS W267. Applications of Parallel Computers
https://sites.google.com/lbl.gov/cs267-spr2019/
CS 268. Computer Networks
CS 270. Combinatorial Algorithms and Data Structures
CS 271. Randomness and Computation
http://inst.eecs.berkeley.edu/~cs271
CS 273. Foundations of Parallel Computation
CS 274. Computational Geometry
CS 274: Computational Geometry
CS C280. Computer Vision
CS C281A. Statistical Learning Theory
CS281B: Advanced Topics in Learning and Decision Making
CS 282A. Designing, Visualizing and Understanding Deep Neural Networks
http://inst.eecs.berkeley.edu/~cs282a
CS 284A. Foundations of Computer Graphics
http://inst.eecs.berkeley.edu/~cs284a
CS 284B. Advanced Computer Graphics Algorithms and Techniques
http://inst.eecs.berkeley.edu/~cs284b
CS 285. Deep Reinforcement Learning, Decision Making, and Control
CS 286A. Introduction to Database Systems
http://inst.eecs.berkeley.edu/~cs286a
CS 286B. Implementation of Data Base Systems
http://inst.eecs.berkeley.edu/~cs286b
CS 287. Advanced Robotics
CS 287H. Algorithmic Human-Robot Interaction
CS 288. Natural Language Processing
CS 289A. Introduction to Machine Learning
CS 294. Special Topics
CS 302. Designing Computer Science Education
CS302 : Designing Computer Science Education
CS 370. Adaptive Instruction Methods in Computer Science
EECS 16A. Designing Information Devices and Systems I
EECS 16B. Designing Information Devices and Systems II
EECS 47F. Completion of work in Computer Science 70
http://inst.eecs.berkeley.edu/~eecs47f
EE C106a/206a | Introduction to Robotics
EECS C106B. Robotic Manipulation and Interaction
说在后面
大学模拟器专栏旨在为广大学习爱好者收集公开/非公开资源，降低在校学生与工作人士的学习成本，提供免费可得的课程培养方案。最终达到降低内卷、打击智商税收割者的目的。
从今天开始，本专栏在之后几个月将陆续发出关于北美名校CS专业的相关课程主页链接，课程主题全面覆盖人工智能（自然语言处理、计算机视觉、增强学习）、机器学习理论与应用、数据结构与算法分析、大数据与并行计算、操作系统与编译原理、网络与信息安全、分布式系统与数据库、机器人、数值分析与计算机基础数学、人机交互、机器人、计算机图形学等方面的内容，目前主要面向Stanford、MIT、UCB、CMU、UIUC、Cornell、Princeton、Caltech、Harvard、UW、Georgia Tech、UT Austin这几所CS强校。
由于本人平时需要上班，现在的文章将主要列出课号、名称与主页链接。其他资源链接将在有精力的时候补上。非常欢迎志同道合的有为青年加入我们（私信我），帮忙收集资料或者发一些与课程相关的学习心得体会。