人工智慧導論
Introduction to Artificial Intelligence
| 節 | 週四 |
|---|---|
5 13:20–14:10 | 人工智慧導論 3 節連堂 |
6 14:20–15:10 | |
7 15:30–16:20 |
* 根據陽明交大上課時間表所列
This course introduces students to the fundamentals, problem-solving methods, and learning paradigms of artificial intelligence. Topics covered include intelligent agents, uninformed and informed searching, adversarial search and games, statistical learning, neural networks, and AI applications.
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無備註
課堂作業包括程式作業,修課學生需具備程式撰寫能力以及演算法的基本知識。 實體期末評量時間:2026年12月10日, 13:10~16:00 (所有學生需同步進行,在此時段無法應考的學生請勿修課)
• Five assignments (40%): Including programing, writing report, and short video • One exam (30%) • One final project (30%): Including project proposal, project implementation, writing report, and oral presentation
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| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction, Intelligent Agents |
| 第 2 週 | Intelligent Agents hw1公布 (Project分組、主題方向制定) |
| 第 3 週 | Solving Problems by Searching |
| 第 4 週 | Search in Complex Environments hw1繳交、hw2公布 |
| 第 5 週 | Search in Complex Environments |
| 第 6 週 | Quantifying Uncertainty hw2繳交、hw3公布(Project期中報告) |
| 第 7 週 | Learning from Examples |
| 第 8 週 | Learning Probabilistic Models hw3繳交, hw4公布 |
| 第 9 週 | Learning Probabilistic Models |
| 第 10 週 | Deep Learning hw4繳交, hw5公布(final project short video) |
| 第 11 週 | Deep Learning |
| 第 12 週 | Deep Learning for Natural Language Processing |
| 第 13 週 | Computer Vision hw5繳交 |
| 第 14 週 | Final Exam (同時段同步考試) |
| 第 15 週 | Generative AI |
| 第 16 週 | Final project報告 (優選團隊、線上線下同步報告) |
Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach 4th edition, Pearson, 2020.
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