 | Study programme 2025-2026 | Français | |
| Basic Understanding of AI and BCI | |||
Learning Activity |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
|---|---|---|---|---|
| M-NEUR-066 |
|
|
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Anglais | Anglais | 30 | 0 | 0 | 0 | 0 | Q1 |
Content of Learning Activity
The course is articulated around 3 main parts:
- Introduction to Artificial Intelligence (about 16 hours)
- Introduction to Brain-Computer Interfaces (about 8 hours)
- Project (about 6 hours)
The main objectives of this course are to:
- Introduce the fundamental notions and principles of Artificial Intelligence (AI) and Brain-Computer Interfaces (BCI)
- Apply these fundamental principles with state-of-the-art algorithms on neurophysiological data
- Identify and avoid methodological pitfalls and biases
- Discuss recent research results related to the use of AI and BCI in Neuroscience
Required Learning Resources/Tools
- Powerpoint presentations
- Lecture videos from the previous year
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
Not applicable
Mode of delivery
- Face-to-face
Type of Teaching Activity/Activities
- Cours magistraux
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)
Location of learning activity
- Université de Mons - Mons
Location of assessment
- Université de Mons - Mons