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MOOC · CS 自学课程指南
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MOOC · CS 自学课程指南
EECS
EECS
Web开发
Web开发
Stanford CS142: Web Applications
CS571 Building UI (React & React Native)
University of Helsinki: Full Stack open 2022
MIT Web Development Crash Course
体系结构
体系结构
ETH: Computer Architecture
CS61C: Great Ideas in Computer Architecture
ETH Zurich:Digital Design and Computer Architecture
Coursera: Nand2Tetris
并行与分布式系统
并行与分布式系统
CMU 15-418/Stanford CS149: Parallel Computing
MIT 6.5840 (原 6.824): Distributed System
操作系统
操作系统
CS162: Operating System
HIT OS: Operating System
MIT 6.1810 (原 6.S081): Operating System Engineering
NJU OS: Operating System Design and Implementation
数据库系统
数据库系统
CMU 15-445: Database Systems
CMU 15-799: Special Topics in Database Systems
Caltech CS 122: Database System Implementation
UCB CS186: Introduction to Database System
Stanford CS 346: Database System Implementation
数据科学
数据科学
UCB Data100: Principles and Techniques of Data Science
数据结构与算法
数据结构与算法
MIT 6.006: Introduction to Algorithms
MIT 6.046: Design and Analysis of Algorithms
Coursera: Algorithms I & II
CS61B: Data Structures and Algorithms
CS170: Efficient Algorithms and Intractable Problems
电子基础
电子基础
UCB EE16A&B: Designing Information Devices and Systems I&II
UCB EE120: Signal and Systems
MIT 6.007 Signals and Systems
系统安全
系统安全
UCB CS161: Computer Security
ASU CSE365: Introduction to Cybersecurity
ASU CSE466: Computer Systems Security
MIT 6.858: Computer System Security
MIT6.1600: Foundations of Computer Security
SEEDLabs
编程入门
编程入门
C
C
CS50: This is CS50x
Introductory C Programming Specialization
cpp
cpp
Amirkabir University of Technology 1400-2: Advanced Programming Course
Stanford CS106B/X: Programming Abstractions in C++
CS106L: Standard C++ Programming
Functional
Functional
CS3110:OCaml Programming Correct + Efficient + Beautiful
Haskell MOOC
Java
Java
MIT 6.092: Introduction To Programming In Java
Python
Python
CS50P Introduction to Programming with Python
CS61A: Structure and Interpretation of Computer Programs
MIT6.100L: Introduction to CS and Programming using Python
Rust
Rust
CS110L: Safety in Systems Programming
CS220: Programming Principles
CS431: Concurrent Programming
UCB: Sysadmin DeCal
MIT-Missing-Semester
编程语言设计与分析
编程语言设计与分析
Cambridge: Semantics of Programming Languages
CS242 Programming Languages
NJU 软件分析
北京大学 软件分析技术
编译原理
编译原理
Stanford CS143: Compilers
CS420: Compiler Design
NJU 编译原理
PKU 编译原理实践
SJTU 编译原理
USTC: Principles and Techniques of Compiler
计算机图形学
计算机图形学
CMU 15-462 : COMPUTER GRAPHICS
Stanford CS148
GAMES101
GAMES103
GAMES202
USTC Computer Graphics
计算机系统基础
计算机系统基础
CS110: Principles of Computer Systems
CMU CS15213: CSAPP
计算机网络
计算机网络
CS144: Computer Network
CS 168:Introduction to the Internet: Architecture and Protocols
Computer Networking: A Top-Down Approach
USTC Computer Networking:A Top-Down Approach
软件工程
软件工程
MIT 6.031: Software Construction
CMU 17-803: Empirical Methods
UCB CS169: software engineering
Miscellaneous
Miscellaneous
必学工具
必学工具
CMake
Docker
Emacs
Git
GitHub
GNU Make
LaTeX
Scoop
毕业论文
实用工具箱
Vim
workflow
信息检索
翻墙
一个仅供参考的 CS 学习规划
如何使用这本书
好书推荐
格物致知
格物致知
Math
Math
MIT 6.042J: Mathematics for Computer Science
Stanford EE364A: Convex Optimization
UCB CS70 : discrete Math and probability theory
UCB CS126 : Probability theory
MIT6.050J: Information theory and Entropy
MIT18.06: Linear Algebra
MIT Calculus Course
MIT18.330 : Introduction to numerical analysis
The Information Theory, Pattern Recognition, and Neural Networks
超级智能
超级智能
人工智能
人工智能
CS50’s Introduction to AI with Python
CS188: Introduction to Artificial Intelligence
神经网络:从零到英雄
机器学习
机器学习
CS189: Introduction to Machine Learning
CS229: Machine Learning
Coursera: Machine Learning
机器学习系统
机器学习系统
智能计算系统
CMU 10-414/714: Deep Learning Systems
CMU 15-442/642: Machine Learning Systems
CSE234: Data Systems for Machine Learning
MIT6.5940: TinyML and Efficient Deep Learning Computing
Machine Learning Compilation
机器学习进阶
机器学习进阶
CMU 10-708: Probabilistic Graphical Models
STATS214 / CS229M: Machine Learning Theory
机器学习进阶学习路线
STA 4273 Winter 2021: Minimizing Expectations
Columbia STAT 8201: Deep Generative Models
深度学习
深度学习
CMU 11-785: Introduction to Deep Learning
CS224n: Natural Language Processing
CS224w: Machine Learning with Graphs
Coursera: Deep Learning
CS231n: CNN for Visual Recognition
CS285: Deep Reinforcement Learning
UMich EECS 498-007 / 598-005: Deep Learning for Computer Vision
国立台湾大学:李宏毅机器学习
MIT 6.7960: Deep Learning
NYU DLSP21: NYU Deep Learning Spring 2021
深度生成模型
深度生成模型
大语言模型
大语言模型
CMU11-667: Large Language Models: Methods and Applications
CMU 11-711: Advanced Natural Language Processing (ANLP)
CMU 11-868: Large Language Model Systems
CMU 15-779: Advanced Topics in Machine Learning Systems (LLM Edition)
MIT6.S184: Generative AI with Stochastic Differential Equations
深度生成模型学习路线
MOOC · CS 自学课程指南
Miscellaneous
必学工具
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