查看“计算机专业基础-相关课程”的源代码

*与斯坦福大学的计算机专业的教学课程对标。

=计算机原理=
==编程方法学==

对标课程：[https://web.stanford.edu/class/cs106a/ Programming Methodology]

==离散数学==

对标课程：[http://web.stanford.edu/class/cs103/ CS103: Mathematical Foundations of Computing]

#Richard Johnsonbaugh, Discrete Mathatics, Prentice-Hall, 2005.

==数据结构与算法==

对标课程：[http://web.stanford.edu/class/cs161/ CS 161: Design and Analysis of Algorithms]

对标课程：[http://web.stanford.edu/class/cs166/ CS 166: Data Structures]

 http://www.cs.princeton.edu/courses/archive/spr10/cos226/info.html

#Introduction to Algorithms-Third Edition-The MIT Press (2009)
#Algorithms, 4th Edition by Robert Sedgewick and Kevin Wayne 
#数据结构与算法分析C++描述

==形式语言与自动机==

自动机与复杂度理论导论

CS154-2010: Introduction to Automata and Complexity Theory

对标课程（Instructor: Jeffrey D. Ullman）: http://infolab.stanford.edu/~ullman/ialc/spr10/spr10.html

CS154: Introduction to Automata and Complexity Theory

对标课程（Instructor:  Omer Reingold）：https://see.stanford.edu/Course/cs154

==编程语言==

对标课程：

 [https://see.stanford.edu/Course/cs107 CS107 - Programming Paradigms] 

 [https://see.stanford.edu/Course/cs106A CS106A - Programming Methodologies] 

对标课程：[https://cs242.stanford.edu  CS 242:programming language]

#C++, LISP, Python编程语言

Types and Programming Languages, by Benjamin C. Pierce, MIT Press

==编译器==

对标课程：[http://web.stanford.edu/class/cs143/ CS143: Compilers]

# Compilers: Principles, Techniques & Tools, by Alfred Aho, Monica Lam, Ravi Sethi, and Jeffrey Ullman. Addison-Wesley, Second edition. ISBN 0-321-48681-1
# Crafting a Compiler, by Fischer, Cytron and LeBlanc, ISBN 0-13-606705-0 
# Modern Compiler Implementation in Java (Second Edition), Andrew Appel and Jens Palsberg., Cambridge University Press
# Engineering a Compiler, Keith Cooper and Linda Torczon, Morgan Kaufman

=计算机硬件与计算机软件=

==系统结构==

对标课程：[http://www-inst.eecs.berkeley.edu/~cs152  CS152 ： Computer Architecture]

#Computer Architecture: A Quantitative Approach, （计算机系统结构-量化研究方法-[英文版][第五版]）

==操作系统==

对标课程：[http://web.stanford.edu/class/cs140/ CS 140: Operating Systems] 

==计算机网络==

对标课程：[http://web.stanford.edu/class/cs244a cs244A: Introduction to Computer Networks]

对标课程：[http://cs244.stanford.edu/ cs244: Advanced Topics in Networking]

==软件工程==

对标课程：[https://see.stanford.edu/Course/CS106A CS106A：Programming Methodology] 

#Agile编程
#SCRUM，软件开发

==数据系统==

数据库与大数据系统

CS145：[http://web.stanford.edu/class/cs145/ CS145: Data Management and Data Systems]

CS245：[http://web.stanford.edu/class/cs245/ CS245: Principles of Data-Intensive Systems]

CS346：[http://web.stanford.edu/cs346 Database System Implementation]


CMU CS 15-721 [https://15445.courses.cs.cmu.edu Introduction to Database Systems] 

CMU CS 15-445 [https://15721.courses.cs.cmu.edu/ Advanced Database Systems]

==人工智能==

对标课程：[http://web.stanford.edu/class/cs121/ CS121: Introduction to Artificial Intelligence] or 

对标课程：[http://web.stanford.edu/class/cs221/ CS221: Artificial Intelligence: Principles and Techniques]

#Artificial Intelligence - A Modern Approach .3e. Third Edition. （[人工智能：一种现代方法.英文.第三版]）

==机器学习==

对标课程：[http://web.stanford.edu/class/cs229/ CS229: Machine Learning]

==密码学==

对标课程：[http://web.stanford.edu/class/cs255/ CS255：Introduction to Cryptography]

=参考=

Stanford Engineering Computer Science, https://cs.stanford.edu/academics/courses

https://exploredegrees.stanford.edu/coursedescriptions/cs/

https://exploredegrees.stanford.edu/coursedescriptions/ee/

=通俗读物=

改变未来的九大算法，

信息简史，

世界是数字的，

算法之美，