物理學和AI
AI for Physicists
| 節 | 週二 |
|---|---|
7 15:30–16:20 | 物理學和AI SC159(光復) 2 節連堂 |
8 16:30–17:20 |
* 根據陽明交大上課時間表所列
Machine learning and AI are quickly transforming society and are revolutionising how we do science. Throughout their development, physicists have been early adopters, expert users, and researchers who have contributed to many of the most important aspects of how these methods work and are used today. In this course, we will present and practice machine learning methods and concepts, with an eye toward both broad theoretical understanding and practical applications. Through lectures, practice sessions, and homework problems, we will learn the theory and methods of machine learning and develop basic skills in applying this technology to solve physics problems. Topics of the course will include: - Data science basics - Supervised and unsupervised machine learning - Deep neural networks - Generative AI - Quantum machine learning - Applications in astrophysics - Applications in high-energy physics
教師未提供此項資料
無備註
教師未提供此項資料
50% exam and 50% computational projects. (To be confirmed in class)
教師未提供此項資料
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction and course format. 2026-02-24(二) |
| 第 2 週 | Supervised Machine Learning 2026-03-03(二) |
| 第 3 週 | Unsupervised Machine Learning 2026-03-10(二) |
| 第 4 週 | Deep Neural Networks 2026-03-17(二) |
| 第 5 週 | Backpropagation 2026-03-24(二) |
| 第 6 週 | Convolutional Neural Networks 2026-03-31(二) |
| 第 7 週 | Autoencoders 2026-04-07(二) |
| 第 8 週 | Generative AI 2026-04-14(二) |
| 第 9 週 | Generative AI 2026-04-21(二) |
| 第 10 週 | AI in high performance computing 2026-04-28(二) |
| 第 11 週 | Quantum Machine Learning 2026-05-05(二) |
| 第 12 週 | Applications in Astroparticle Physics 2026-05-12(二) |
| 第 13 週 | Applications in Astroparticle Physics 2026-05-19(二) |
| 第 14 週 | Applications in High-Energy Physics 2026-05-26(二) |
| 第 15 週 | Applications in High-Energy Physics 2026-06-02(二) |
| 第 16 週 | Applications outside of Physics 2026-06-09(二) |
教師未提供此項資料
- 地點
- SC457, SC406
- 時間
- T10
- 聯絡方式
- afrancis@nycu.edu.tw, sitam@nycu.edu.tw
