cs-self-learning/docs/人工智能/CS188.md
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# CS188: Introduction to Artificial Intelligence
## 课程简介
- 所属大学UC Berkeley
- 先修要求CS70
- 编程语言Python
- 课程难度:🌟🌟🌟
- 预计学时50 小时
伯克利的人工智能入门课,课程 notes 写得非常深入浅出,基本不需要观看课程视频。课程内容的安排基本按照人工智能的经典教材 *Artificial intelligence: A Modern Approach* 的章节顺序,覆盖了搜索剪枝、约束满足问题、马尔可夫决策过程、强化学习、贝叶斯网络、隐马尔可夫模型以及基础的机器学习和神经网络的相关内容。
2018年秋季学期的版本免费开放了 gradescope大家可以在线完成书面作业并实时得到测评结果。同时课程的 6 个 Project 也是质量爆炸,复现了经典的 Packman吃豆人小游戏会让你利用学到的 AI 知识,去实现相关算法,让你的吃豆人在迷宫里自由穿梭,躲避鬼怪,收集豆子。
## 课程资源
- 课程网站:<https://inst.eecs.berkeley.edu/~cs188/fa18/index.html>
- 课程视频:<https://inst.eecs.berkeley.edu/~cs188/fa18/index.html>,每节课的链接详见课程网站
- 课程教材Artificial intelligence: A Modern Approach
- 课程作业:<https://inst.eecs.berkeley.edu/~cs188/fa18/index.html>14个在线测评书面作业和 6 个Project