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🟣编程 Programming

  • David Malan's Harvard CS50 Intro to the Intellectual Enterprises of CS and the Art of Programming📺⭐

  • MIT 6.0001+2 Intro to Computational Thinking and Data Science📺

  • Coursera Computer Science 1+2📺⭐

  • John DeNero's Berkeley CS61A Structure and Interpretation of Computer Programs📺⭐

  • UMich EECS280 Programming and Intro Data Structures📺

  • MIT 6.S083 Introduction To Computational Thinking📺

  • MIT 6.005 Software Construction

  • MIT The Missing Semester of Your CS Education📺

  • Harvard CS51 Abstraction and Design in Computation

  • Stanford CS106B Programming Abstractions

  • Stanford CS107 Programming Paradigms📺

  • Stanford CS106L Standard C++ Programming

🔴算法与数据结构 Algorithm & Data Structure

  • Josh Hug's Berkeley CS61B Data Structures📺⭐

  • Princeton COS226 Algorithms and Data Structures

  • Coursera Algorithms1+2📺⭐

  • MIT 6.006 Introduction to Algorithms📺⭐

  • Stanford CS161 Design and Analysis of Algorithms

  • Berkeley CS170 Efficient Algorithms and Intractable Problems📺

  • UIUC CS374 Algorithms and Models of Computation📺

  • MIT 6.046J Design and Analysis of Algorithms📺

  • MIT 6.851 Advanced Data Structures📺

  • MIT 6.890 Algorithmic Lower Bounds📺

  • Berkeley CS270 Combinatorial Algorithms and Data Structures

  • Stanford CS265 Randomized Algorithms and Probabilistic Analysis

  • SBU CSE373 Analysis of Algorithms📺

  • UIUC CS473 Algorithms📺

🔵计算机组成与系统编程 Computer Organization & System Programming

  • Onur Mutlu's ETH Zurich Digital Design and Computer Architecture📺⭐

  • Eddie Kohler's Harvard CS61 Systems Programming and Machine Organization

  • Berkeley CS61C Machine Structures📺⭐

  • CMU 15-213 Intro to Computer Systems📺⭐

  • 南京大学 计算机系统基础📺

  • 华中科技大学 计算机硬件系统设计📺

  • MIT 6.033 Computer System Engineering

  • Onur Mutlu's ETH Zurich Computer Architecture📺

  • Berkeley CS152 Computer Architecture and Engineering📺

  • Berkeley CS164 Programming Languages and Compilers

  • MIT 6.826 Principles of Computer Systems📺

  • Cornell CS6120 Advanced Compilers📺

🟤操作系统与网络 Operating System & Network

  • Harvard CS161 Operating Systems

  • MIT 6.828 Operating System Engineering📺

  • JHU CS318 Principles of Operating Systems

  • Berkeley CS162 Operating Systems and Systems Programming📺⭐

  • JYY 南京大学 操作系统📺

  • 湖科大教书匠 计算机网络📺

  • Standford CS144 Introduction to Computer Networking

⚫分布式系统与并行计算 Distributed System & Parallel Computing

  • MIT 6.824 Distributed Systems📺⭐

  • Stanford CS149 Parallel Computing

  • CMU 15-418 Parallel Computer Architecture and Programming📺

  • Berkeley CS267 Applications of Parallel Computers📺

  • MIT 6.172 Performance Engineering of Software Systems📺

🟡数据库系统 Database System

  • Andy Pavlo's CMU 15-445 Database Systems📺⭐

  • Berkeley CS186 Introduction to Database Systems📺

  • Andy Pavlo's CMU 15-721 Advanced Database Systems📺⭐

🟢计算机安全 Computer Security

  • Berkeley CS161 Computer Security

  • Stanford CS155 Computer and Network Security

  • Stanford CS251 Cryptocurrencies and Blockchain Technologies

  • Stanford CS255 Introduction to Cryptography

  • MIT 6.858 Computer System Security📺⭐

  • PWN.COLLEGE Computer Systems Security📺⭐

⚪数学 Math

  • 浙江大学 微积分📺

  • UIUC CS173 Discrete Structures📺

  • MIT 6.042J Mathematics for Computer Science📺⭐

  • Berkeley CS70 Discrete Mathematics and Probability Theory

  • Berkeley EE126 Probability and Random Processes

  • Berkeley EE127 Optimization Models in Engineering📺

  • MIT 6.041 Probabilistic Systems Analysis and Applied Probability📺

  • MIT 18.06 Linear Algebra📺⭐

  • MIT 18.065 Matrix Methods in Data Analysis Signal Processing Machine Learning📺

  • MIT 18.404J Theory of Computation📺

  • CMU 15-251 Great Ideas in Theoretical Computer Science📺

🤖人工智能 Artificial Intelligence

  • Berkeley CS188 Introduction to Artificial Intelligence📺⭐

  • Berkeley CS189 Introduction to Machine Learning📺

  • Berkeley CS182 Deep Neural Networks📺

  • Berkeley CS285 Deep Reinforcement Learning📺

  • NYU DS-GA1008 Deep Learning📺

  • 李宏毅 國立臺灣大學 機器學習📺⭐

  • 國立臺灣大學 機器學習基石上+📺

  • 國立臺灣大學 機器學習技法📺

  • MIT 6.S191 Introduction to Deep Learning📺

  • Stanford CS234 Reinforcement Learning📺

  • Stanford CS330 Deep Multi-Task and Meta Learning📺

  • Stanford CS224N Natural Language Processing with Deep Learning📺

  • Stanford CS224U Natural Language Understanding📺

  • Stanford CS224W Machine Learning with Graphs📺

  • Stanford CS231n Deep Learning for Computer Vision📺

  • Stanford CS324 Large Language Models

  • UPenn ESE5140 Graph Neural Networks📺

  • CMU 10-708 Probabilistic Graphical Models📺

  • Berkeley Data100 Principles and Techniques of Data Science📺

🕹计算机图形学 Computer Graphics

  • Stanford CS148 Introduction to Computer Graphics and Imaging

  • Berkeley CS184 Computer Graphics and Imaging

  • CMU 15-462 Computer Graphics📺⭐

  • UPenn CIS565 GPU Programming and Architecture📺

🟠电气工程 Electrical Engineering

  • Berkeley EECS16A Designing Information Devices and Systems I📺

  • Berkeley EECS16B Designing Information Devices and Systems II

  • Berkeley EE105 Microelectronic Devices and Circuits📺

  • Berkeley EE120 Signals and Systems

  • Berkeley EECS151 Introduction to Digital Design and Integrated Circuits📺

  • MIT 6.003 Signals and Systems📺

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😄Courses with open lecture notes and assignments. DO NOT pull requests.

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