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20 lines
1.7 KiB
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20 lines
1.7 KiB
Markdown
# CS188: Introduction to Artificial Intelligence
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## Course Overview
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- University：UC Berkeley
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- Prerequisites：CS70
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- Programming Language：Python
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- Course Difficulty：🌟🌟🌟
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- Estimated Hours：50 hours
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This introductory artificial intelligence course at UC Berkeley provides in-depth and accessible course notes, making it possible to grasp the material without necessarily watching the lecture videos. The course follows the chapters of the classic AI textbook *Artificial Intelligence: A Modern Approach*, covering topics such as search pruning, constraint satisfaction problems, Markov decision processes, reinforcement learning, Bayesian networks, Hidden Markov Models, as well as fundamental concepts in machine learning and neural networks.
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The Fall 2018 version of the course offered free access to gradescope, allowing students to complete written assignments online and receive real-time assessment results. The course also includes 6 projects of high quality, featuring the recreation of the classic Pac-Man game. These projects challenge students to apply their AI knowledge to implement various algorithms, enabling their Pac-Man to navigate mazes, evade ghosts, and collect pellets.
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## Course Resources
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- Course Websites：[Fall 2022](https://inst.eecs.berkeley.edu/~cs188/fa22/)，[Fall 2018](https://inst.eecs.berkeley.edu/~cs188/fa18/index.html)
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- Course Videos：[Fall 2022](https://inst.eecs.berkeley.edu/~cs188/fa22/)，[Fall 2018](https://inst.eecs.berkeley.edu/~cs188/fa18/index.html)，with links to each lecture on the course website
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- Course Textbook：Artificial intelligence: A Modern Approach
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- Course Assignments：Online assessments for written assignments and projects, details available on the course website
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