https://zhuanlan.zhihu.com/p/102083014
今天我們帶來本系列第2篇：加州大學伯克利分校CS課程全集的整理。本系列今后將持續保持一周一更的頻率，想學習更多請點擊關注專欄大學模擬器，點贊支持，或搜索關注公眾號（也可以掃描下方二維碼）：Univ模擬器。最近正在開放大學模擬器論壇注冊，可以在公眾號后台發郵箱地址獲取注冊邀請郵件，近期將上傳幾門UCB的CS課程的含字幕視頻。
課程鏈接
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
說在后面
大學模擬器專欄旨在為廣大學習愛好者收集公開/非公開資源，降低在校學生與工作人士的學習成本，提供免費可得的課程培養方案。最終達到降低內卷、打擊智商稅收割者的目的。
從今天開始，本專欄在之后幾個月將陸續發出關於北美名校CS專業的相關課程主頁鏈接，課程主題全面覆蓋人工智能（自然語言處理、計算機視覺、增強學習）、機器學習理論與應用、數據結構與算法分析、大數據與並行計算、操作系統與編譯原理、網絡與信息安全、分布式系統與數據庫、機器人、數值分析與計算機基礎數學、人機交互、機器人、計算機圖形學等方面的內容，目前主要面向Stanford、MIT、UCB、CMU、UIUC、Cornell、Princeton、Caltech、Harvard、UW、Georgia Tech、UT Austin這幾所CS強校。
由於本人平時需要上班，現在的文章將主要列出課號、名稱與主頁鏈接。其他資源鏈接將在有精力的時候補上。非常歡迎志同道合的有為青年加入我們（私信我），幫忙收集資料或者發一些與課程相關的學習心得體會。