腦機介面系統(英文授課)
Brain-Computer Interface
| 節 | 週五 |
|---|---|
3 10:10–11:00 | 腦機介面系統(英文授課) EC329 3 節連堂 |
4 11:10–12:00 | |
N 12:20–13:10 |
* 根據陽明交大上課時間表所列
Course outline: This course explores state-of-the-art brain-sensing methodology and its application to neuroscience, neurology, and human-machine interaction. Lectures will be given on the relevant topics including the background to brain function, sensing technology, signal processing, machine learning methods, and applications of brain-computer interfacing (BCI) in various domains. Course objectives: 1. Understand the background to conduct research in neuromonitoring and BCI. 2. Understand the literature in the field of BCI. 3. Understand and use engineering approaches in BCI. 4. Be able to apply tools required for real-time BCI systems. 5. Understand the domains and contexts in which BCIs are effective. 6. Understand the open questions and challenges in real-world applications of BCI.
Programming (Python)
- The enrollment on the online course registration system is the primary way. (加選本課程以選課系統操作為主。) - Due to the pandemic, the first class meeting on Feb 18 will be online (link: https://meet.google.com/vah-rqug-ezm). We will announce the course format and the link to the waitlist. (2/18第一堂課將改為線上進行,將公布課程進行方式和加簽順序登記,) - As the experimental equipment is limited, there will be no additional enrollment if it is in-person class. Additional enrollment will be open only if the course runs fully online for the entire semester. (受限於實驗設備數量,如果本學期為實體課程,則不接受超過上限之加簽,只有當本課程改為全學期線上才接受超過上限之加簽) - Every student taking this course is required to fill out a pre-course survey (link: https://forms.gle/8ADXeC9CAYBYqjHt6) by 12:00, Feb 25, 2022. (所有選修此課程同學皆需填寫課前問卷)
Participation 10%; Projects 90% (subject to change based on the needs of the class)
| 週次 | 主題 |
|---|---|
| 第 1 週 | Course introduction |
| 第 2 週 | Introduction to BCI |
| 第 3 週 | Fundamental neuroscience |
| 第 4 週 | Neuromonitoring |
| 第 5 週 | EEG acquisition |
| 第 6 週 | EEG processing |
| 第 7 週 | Intercollegiate Activities; Working day but no class |
| 第 8 週 | EEG feature extraction 1 |
| 第 9 週 | EEG feature extraction 2 |
| 第 10 週 | Machine learning for BCI 1 |
| 第 11 週 | Machine learning for BCI 2 |
| 第 12 週 | Proposal presentation |
| 第 13 週 | Challenges and Ethical issues in BCI applications |
| 第 14 週 | Invited talk |
| 第 15 週 | Project presentation |
| 第 16 週 | Project presentation |
| 第 17 週 | TBD |
| 第 18 週 | TBD |
Literature reading; Online resources
- 地點
- (If in-person) EC329, Engineering Building III, Guang-Fu Campus
- 時間
- By appointment
- 聯絡方式
- wei@nycu.edu.tw