 | Study programme 2018-2019 | Français | |
 | Séminaire d'intelligence artificielle | ||
Activité d'apprentissage à la Faculty of Science |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) |
|---|---|---|---|
| I-TCTS-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 » (<a href="https://www.linkedin.com/groups/8614751">https://www.linkedin.com/groups/8614751</a> ), 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
Type of Teaching Activity/Activities
- Séminaires
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