“计算机专业基础-相关课程”版本间的差异
来自iCenter Wiki
(→程序语言设计与编译器) |
(→人工智能) |
||
第36行: | 第36行: | ||
=人工智能= | =人工智能= | ||
+ | |||
+ | [http://web.stanford.edu/class/cs121/ CS121: Introduction to Artificial Intelligence] or | ||
+ | |||
+ | [http://web.stanford.edu/class/cs221/ CS221: Artificial Intelligence: Principles and Techniques] | ||
#Artificial Intelligence - A Modern Approach.3e.Third Edition. | #Artificial Intelligence - A Modern Approach.3e.Third Edition. |
2019年6月16日 (日) 09:28的版本
离散数学
- Richard Johnsonbaugh, Discrete Mathatics, Prentice-Hall, 2005.
对标: CS103: Mathematical Foundations of Computing
数据结构与算法
- Introduction to Algorithms-Third Edition-The MIT Press (2009)
对标:CS 161: Design and Analysis of Algorithms
编程语言
- 数据结构与算法分析C++描述
- Python编程语言
程序语言设计与编译器
1. Compilers: Principles, Techniques & Tools, by Aho, Lam, Sethi and Ullman, Second edition. ISBN 0-321-48681-1
2. Crafting a Compiler, by Fischer, Cytron and LeBlanc, ISBN 0-13-606705-0
系统结构
- Computer Architecture: A Quantitative Approach
(计算机系统结构-量化研究方法-[英文版][第五版])
软件工程
- Agile编程
- SCRUM,软件开发
人工智能
CS121: Introduction to Artificial Intelligence or
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])
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,