COURSE

AIAA5032

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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仅展示 2026-27 Fall;历史教学班可通过学期筛选查看。

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官方 Course Catalog

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2026-27 Fall · PG

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

历史目录与其他学期
2025-26 Spring · PG

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

2025-26 Winter · PG

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

2025-26 Fall · PG

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

2024-25 Summer · PG

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

2024-25 Spring · PG

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

2024-25 Winter · PG

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

2024-25 Fall · PG

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