Study programme 2018-2019 | Français | ||
Selected topics in Data Science and AI | |||
Activité d'apprentissage à la Faculty of Science |
Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) |
---|---|---|---|
I-GRIG-071 |
|
Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
---|---|---|---|---|---|---|---|
Anglais | Anglais | 30 | 0 | 30 | 0 | 0 | Q2 |
Content of Learning Activity
Four applicative challenges in AI, coming from various domains are porposed. For each challenge, 3h are devoted to theory, followed by two 3-hours co-working sessions in teams, and a report is prepared by students at home.
Required Learning Resources/Tools
Not applicable
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
Not applicable
Mode of delivery
Type of Teaching Activity/Activities
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)