人工智慧概論
Intro. to Artificial Intelligence
| 節 | 週二 |
|---|---|
5 13:20–14:10 | 人工智慧概論 ED117（光復） 2 節連堂 |
6 14:20–15:10 |
* 根據陽明交大上課時間表所列
- Understand AI foundations - Develop computational thinking for AI - Apply essential AI methods - Build and assess AI solutions - Engage with AI research and applications
Programming (Python/C/C++) Linear Algebra Algorithm Probability (suggested)
無備註
Enrollment is available up to the classroom capacity.
Class participation - 10% Homework (individual) - 20% Paper presentation (group) - 10% Projects (group) - 30% Exams - 40%
教師未提供此項資料
| 週次 | 主題 |
|---|---|
| 第 1 週 | Course Introduction |
| 第 2 週 | Brief History of AI and its Future |
| 第 3 週 | Problem Solving by Searching |
| 第 4 週 | Informed Search |
| 第 5 週 | Adversarial Search |
| 第 6 週 | Machine Learning I |
| 第 7 週 | Machine Learning II |
| 第 8 週 | Midterm Exam |
| 第 9 週 | Guest Talk (TBD) |
| 第 10 週 | Markov Decision Process |
| 第 11 週 | Reinforcement Learning |
| 第 12 週 | Generative AI |
| 第 13 週 | Agentic AI |
| 第 14 週 | AI in Healthcare/Brain Research |
| 第 15 週 | Guest Talk (TBD) |
| 第 16 週 | Final Exam |
Optional
- 地點
- 教師未提供此項資料
- 時間
- Office Hours: By appointment
- 聯絡方式
- Contact Information: spring-intro-ai@googlegroups.com