生醫資訊深度學習
Deep Learning in Biomedical Informatics
| 節 | 週五 |
|---|---|
3 10:10–11:00 | 生醫資訊深度學習 EC329 2 節連堂 |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
This course offers a comprehensive understanding of fundamental concepts, hands-on experience, and the ability to critically review and propose research in the field of deep learning for biomedical data analysis, with a focus on EEG data analysis. Objectives: - Understanding fundamental machine learning and deep learning (ML/DL) - Exploring EEG datasets and related works - Developing skills in conducting a comprehensive literature review in the field of biomedical data analysis - Ability to effectively present methodologies, findings, and insights obtained during laboratory exercises - Skills to draft research proposals in the domain of deep learning for biomedical data analysis
Math (calculus, linear algebra, etc) Fundamental machine learning/deep learning Basic Python programming
TA: Yi-Ning Huang (jg930432@gmail.com) - All registered students and waitlist students should attend the first class. Limited additional enrollment will be available at the end of the first class. Students fail to participate in the first meeting may be withdrawn from the class as a 'no show'. - No show in class may lead to loss in grades. ***** Course operation may be subject to change due to unforeseen causes. *****
Lab: 25% Paper review: 20% Proposal: 30% Participation: 25%
| 週次 | 主題 |
|---|---|
| 第 1 週 | Course introduction |
| 第 2 週 | Fundamental ML/DL |
| 第 3 週 | Fundamental ML/DL |
| 第 4 週 | Fundamental ML/DL |
| 第 5 週 | EEG datasets and related works |
| 第 6 週 | Lab: EEG analysis with explainable deep neural networks |
| 第 7 週 | No class (holiday) |
| 第 8 週 | EEG datasets and related works |
| 第 9 週 | Lab demo |
| 第 10 週 | Proposal drafting |
| 第 11 週 | Paper review |
| 第 12 週 | Paper review |
| 第 13 週 | Paper review |
| 第 14 週 | Invited talk |
| 第 15 週 | Proposal presentation |
| 第 16 週 | Proposal presentation |
Literature reading; Online resources.
- 地點
- EC240, Engineering Building III, Guang-Fu Campus
- 時間
- By appointment.
- 聯絡方式
- Chun-Shu Wei (wei@nycu.edu.tw)