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Title: GitHub - binchengecon/Self-learning-Computer-Science: the resources I use to learn computer science in my spare time · GitHub

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Description: the resources I use to learn computer science in my spare time - binchengecon/Self-learning-Computer-Science

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这里https://github.com/PKUFlyingPig/pku-cs-self-learning
https://github.com/binchengecon/Self-learning-Computer-Science#overview
Great Resourceshttps://github.com/binchengecon/Self-learning-Computer-Science#great-resources
Maths Courseshttps://github.com/binchengecon/Self-learning-Computer-Science#maths-courses-
Programming Basicshttps://github.com/binchengecon/Self-learning-Computer-Science#programming-basics-
Data structures and Algorithmshttps://github.com/binchengecon/Self-learning-Computer-Science#data-structures-and-algorithms-
Electronical Engineering Basicshttps://github.com/binchengecon/Self-learning-Computer-Science#electronical-engineering-basics-
Computer Architecturehttps://github.com/binchengecon/Self-learning-Computer-Science#computer-architecture-
Machine Learning and Deep Learninghttps://github.com/binchengecon/Self-learning-Computer-Science#machine-learning-and-deep-learning-
Computer Systemshttps://github.com/binchengecon/Self-learning-Computer-Science#computer-systems-
Software Engineeringhttps://github.com/binchengecon/Self-learning-Computer-Science#software-engineering
https://github.com/binchengecon/Self-learning-Computer-Science#great-resources
MIT OpenCouse Warehttps://ocw.mit.edu/courses/#electrical-engineering-and-computer-science
UC berkeley EECS course maphttps://hkn.eecs.berkeley.edu/courseguides
https://github.com/binchengecon/Self-learning-Computer-Science/blob/main/images/coursemap.png
UC berkeley CS Course Listhttps://www2.eecs.berkeley.edu/Courses/CS/?_ga=2.49145060.370293363.1598336094-476512950.1598336094
MIT CS Course Listhttp://student.mit.edu/catalog/m6a.html
↩https://github.com/binchengecon/Self-learning-Computer-Science#overview
https://github.com/binchengecon/Self-learning-Computer-Science#maths-courses-
https://github.com/binchengecon/Self-learning-Computer-Science#1-basics-
https://github.com/binchengecon/Self-learning-Computer-Science#11-calculus-and-linear-algebra
MIT18.01: Single variable calculushttps://ocw.mit.edu/courses/mathematics/18-01sc-single-variable-calculus-fall-2010/syllabus/
MIT18.02: Multi variable calculushttps://ocw.mit.edu/courses/mathematics/18-02sc-multivariable-calculus-fall-2010/
MIT18.06: Linear Algebrahttps://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/syllabus/
https://github.com/binchengecon/Self-learning-Computer-Science#12-basics-of-information-theory
MIT6.050J: Information theory and Entropyhttps://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-050j-information-and-entropy-spring-2008/index.htm
↩https://github.com/binchengecon/Self-learning-Computer-Science#overview
https://github.com/binchengecon/Self-learning-Computer-Science#2-intermediate-
https://github.com/binchengecon/Self-learning-Computer-Science#21-probability-theory
UCB CS70 : discrete Math and probility theoryhttp://www.eecs70.org
Completedhttps://github.com/PKUFlyingPig/UCB-CS70
MIT6.431: Probabilistic Systems Analysis and Applied Probabilityhttps://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041sc-probabilistic-systems-analysis-and-applied-probability-fall-2013/index.htm
UCB CS126 : Probility theoryhttps://inst.eecs.berkeley.edu/~ee126/fa20/content.html
Ongoinghttps://github.com/PKUFlyingPig/EECS126
https://github.com/binchengecon/Self-learning-Computer-Science#22-differential-equations
MIT18.03: differential equationshttps://ocw.mit.edu/courses/mathematics/18-03sc-differential-equations-fall-2011/unit-i-first-order-differential-equations/
MIT18.04: Complex variables functionshttps://ocw.mit.edu/courses/mathematics/18-04-complex-variables-with-applications-spring-2018/
MIT18.152: Partial differential equationshttps://ocw.mit.edu/courses/mathematics/18-152-introduction-to-partial-differential-equations-fall-2011/index.htm
https://github.com/binchengecon/Self-learning-Computer-Science#23-numerical-thinking
MIT18.S191: Introduction to Computational Thinkinghttps://computationalthinking.mit.edu/Fall20/
MIT18.330 : Introduction to numerical analysishttps://github.com/mitmath/18330
Ongoinghttps://github.com/PKUFlyingPig/MIT18.330
MIT18.335 : Introduction to numerical methodhttps://ocw.mit.edu/courses/mathematics/18-335j-introduction-to-numerical-methods-spring-2019/index.htm
↩https://github.com/binchengecon/Self-learning-Computer-Science#overview
https://github.com/binchengecon/Self-learning-Computer-Science#3-advanced-
MIT18.650: Statistics for Applicationshttps://ocw.mit.edu/courses/mathematics/18-443-statistics-for-applications-spring-2015/index.htm
MIT18.781: Theory of Numbershttps://ocw.mit.edu/courses/mathematics/18-781-theory-of-numbers-spring-2012/index.htm
MIT6.441: Information Theoryhttps://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-441-information-theory-spring-2016/syllabus/
Standford EE364A: Convex Optimizationhttp://stanford.edu/class/ee364a/index.html
Completedhttps://github.com/PKUFlyingPig/Standford_CVX101
Standford CS255: Cryptographyhttp://crypto.stanford.edu/~dabo/cs255/
↩https://github.com/binchengecon/Self-learning-Computer-Science#overview
https://github.com/binchengecon/Self-learning-Computer-Science#programming-basics-
MIT missing-semesterhttps://missing.csail.mit.edu/2020/
UCB CS61A: Structure and Interpretation of Computer Programshttps://inst.eecs.berkeley.edu/~cs61a/su20/
Completedhttps://github.com/PKUFlyingPig/CS61A
Havard: cs50https://cs50.harvard.edu/x/2020/syllabus/
Havard: cs50 aihttps://cs50.harvard.edu/ai/2020/
Completedhttps://github.com/PKUFlyingPig/cs50_ai
Stanford: CS106Lhttp://web.stanford.edu/class/cs106l/
Completedhttps://github.com/PKUFlyingPig/CS106L
↩https://github.com/binchengecon/Self-learning-Computer-Science#overview
https://github.com/binchengecon/Self-learning-Computer-Science#data-structures-and-algorithms-
UCB CS61B: data structures and algorithmshttps://sp18.datastructur.es
Completedhttps://github.com/PKUFlyingPig/CS61B
Princeton: Algorithms Ihttps://www.coursera.org/learn/algorithms-part1
Princeton: Algorithms IIhttps://www.coursera.org/learn/algorithms-part2/home/welcome
Completedhttps://github.com/PKUFlyingPig/Princeton-Algorithm
open-sourced textbookhttps://algs4.cs.princeton.edu/home/
all the algorithms in Javahttps://algs4.cs.princeton.edu/code/
UCB CS170: Efficient Algorithms and Intractable Problemshttps://cs170.org
Completedhttps://github.com/PKUFlyingPig/UCB-CS170
↩https://github.com/binchengecon/Self-learning-Computer-Science#overview
https://github.com/binchengecon/Self-learning-Computer-Science#electronical-engineering-basics-
UCB: EE16Ahttps://inst.eecs.berkeley.edu/~ee16a/su20/#schedule
Completedhttps://github.com/PKUFlyingPig/EE16A
UCB: EE16Bhttps://www.eecs16b.org/#schedule
MIT 6.003 : signal and systemshttps://www.eecs16b.org/#schedule
UCB EE120 : signal and systemshttps://inst.eecs.berkeley.edu/~ee120/fa19/
Completedhttps://github.com/PKUFlyingPig/UCB-EE120
↩https://github.com/binchengecon/Self-learning-Computer-Science#overview
https://github.com/binchengecon/Self-learning-Computer-Science#computer-architecture-
Nand2Tetris Ihttps://www.coursera.org/learn/build-a-computer/home/week/1
Nand2Tetrix IIhttps://www.coursera.org/learn/nand2tetris2/home/welcome
Completedhttps://github.com/PKUFlyingPig/NandToTetris
UCB CS61C: Great Ideas in Computer Architecturehttps://cs61c.org/su20/
Completedhttps://github.com/PKUFlyingPig/CS61C-summer20
CMU CS15213: CASPPhttp://csapp.cs.cmu.edu
↩https://github.com/binchengecon/Self-learning-Computer-Science#overview
https://github.com/binchengecon/Self-learning-Computer-Science#machine-learning-and-deep-learning-
https://github.com/binchengecon/Self-learning-Computer-Science#1-introduction-courses
UCB CS188: Introduction to Artificial Intelligencehttps://inst.eecs.berkeley.edu/~cs188/fa18/index.html
MIT 6.S191: Introduction to Deep Learninghttp://introtodeeplearning.com
https://github.com/binchengecon/Self-learning-Computer-Science#2-machine-learning
Stanford CS229: Machine Learninghttp://cs229.stanford.edu/syllabus.html
My repositoryhttps://github.com/PKUFlyingPig/CS229
UCB CS189: Machine Learninghttps://www.eecs189.org
https://github.com/binchengecon/Self-learning-Computer-Science#3-deep-learning
Stanford CS231n: Convolutional Neural Networks for Visual Recognition http://cs231n.stanford.edu
Stanford CS224n: Natural Language Processinghttp://web.stanford.edu/class/cs224n/index.html
My repositoryhttps://github.com/PKUFlyingPig/CS224n
Stanford CS224W: Graphic Neural Networkhttp://web.stanford.edu/class/cs224w/
Stanford CS234: Reinforce Learninghttps://github.com/Zhenye-Na/reinforcement-learning-stanford
↩https://github.com/binchengecon/Self-learning-Computer-Science#overview
https://github.com/binchengecon/Self-learning-Computer-Science#computer-systems-
https://github.com/binchengecon/Self-learning-Computer-Science#0-system-programming
Stanford CS110Lhttps://reberhardt.com/cs110l/spring-2020/
Completedhttps://github.com/PKUFlyingPig/CS110L
Rusthttps://www.rust-lang.org/
https://github.com/binchengecon/Self-learning-Computer-Science#1-operating-system
MIT 6.S081: Operating Systemhttps://github.com/PKUFlyingPig/MIT6.S081-2020fall
Completedhttps://github.com/PKUFlyingPig/MIT6.S081-2020fall
https://github.com/binchengecon/Self-learning-Computer-Science#2-distributed-system
MIT 6.824: Distributed Systemshttps://pdos.csail.mit.edu/6.824/schedule.html
Ongoinghttps://github.com/PKUFlyingPig/MIT6.824
https://github.com/binchengecon/Self-learning-Computer-Science#3-computer-network
Computer Networking: A top down approachhttps://gaia.cs.umass.edu/kurose_ross/wireshark.htm
Completedhttps://github.com/PKUFlyingPig/Computer-Network-A-Top-Down-Approach
stanford CS144: Introduction to computer networkhttps://cs144.github.io
Completedhttps://github.com/PKUFlyingPig/CS144-Computer-Network
https://github.com/binchengecon/Self-learning-Computer-Science/blob/main/images/cs144labs.png
https://github.com/binchengecon/Self-learning-Computer-Science#4-compiler
Stanford CS143: Compilershttp://web.stanford.edu/class/cs143/
Ongoinghttps://github.com/skyzluo/CS143-Compilers-Stanford
https://github.com/binchengecon/Self-learning-Computer-Science#5-computer-security
UCB CS161: Computer Securityhttps://cs161.org
Completedhttps://github.com/PKUFlyingPig/UCB-CS161
Here is my implementation and design doc.https://github.com/PKUFlyingPig/CS161-Project2-SecureFileShareSystem
Hacker101https://ctf.hacker101.com/ctf
https://github.com/binchengecon/Self-learning-Computer-Science#6-parallel-computing
Stanford CS149 : Parallel Computinghttp://cs149.stanford.edu/fall20/
Completedhttps://github.com/PKUFlyingPig/CS149-parallel-computing
https://github.com/binchengecon/Self-learning-Computer-Science#7-database-system
UCB CS186: Introduction to Database Systemhttps://cs186berkeley.net/sp21/
Completedhttps://github.com/PKUFlyingPig/CS186
↩https://github.com/binchengecon/Self-learning-Computer-Science#overview
https://github.com/binchengecon/Self-learning-Computer-Science#software-engineering
MIT 6.031 : Software Constructionhttp://web.mit.edu/6.031/www/sp20/
Ongoinghttps://github.com/PKUFlyingPig/MIT6.031-software-construction
UCB CS169 : software engineeringhttp://www.saasbook.info/courses
Ongoinghttps://github.com/PKUFlyingPig/CS169-Software-Engineering
MIT web development coursehttps://weblab.mit.edu/schedule/
↩https://github.com/binchengecon/Self-learning-Computer-Science#overview
Readme https://github.com/binchengecon/Self-learning-Computer-Science#readme-ov-file
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