2026-27 Fall
AIAA5032 · L01
DAI, Enyan
3 Credits · Class #6024 · Reference Capacity 60
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COURSE
Foundations of Artificial Intelligence
Information Hub / Artificial Intelligence · 3 Credits
This course aims to provide students with an overview of Artificial Intelligence (AI) principles and techniques. Key topics include machine learning, search, game theories, Markov decision process, constraint satisfaction problems, Bayesian networks, etc. Through this course, students will learn and practice the foundational principles, techniques and tools to tackle new AI problems.
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难度 · 从难到易
工作量 · 从劳累到轻松
评分 · 从苛刻到宽松
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3 Credits
官方数据更新时间: 2026-08-28 05:35:00
背景: Programming in Python; Basic probability theory and linear algebra; Discrete Math
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Programming in Python; Basic probability theory and linear algebra; Discrete Math
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Programming in Python; Basic probability theory and linear algebra; Discrete Math
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Programming in Python; Basic probability theory and linear algebra; Discrete Math
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Programming in Python; Basic probability theory and linear algebra; Discrete Math
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Programming in Python; Basic probability theory and linear algebra; Discrete Math
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Programming in Python; Basic probability theory and linear algebra; Discrete Math
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Programming in Python; Basic probability theory and linear algebra; Discrete Math