 | Study programme 2021-2022 | Français | |
| Séminaire d'intelligence artificielle | |||
Learning Activity |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
|---|---|---|---|---|
| I-ISIA-201 |
|
|
|
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Français | Français | 0 | 12 | 0 | 0 | 0 | Q1 |
Content of Learning Activity
12h of seminars to allow students to see AI in action in various areas.
Seminars may include sessions from the " Deep Learning Academy " (https://www.linkedin.com/groups/8614751 ), composed of informal seminars already organized by UMONS, UCL, and MULTITEL, where researchers and industrial actors expose case studies.
Required Learning Resources/Tools
Not applicable
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
Not applicable
Mode of delivery
- Face to face
- Mixed
Type of Teaching Activity/Activities
- Ateliers et projets encadrés au sein de l'établissement
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)
(*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term