 | Study programme 2022-2023 | Français | |
| Artificial intelligence | |||
Learning Activity |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
|---|---|---|---|---|
| M-DOYM-070 |
|
|
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Anglais | Anglais | 27 | 0 | 0 | 0 | 0 | Q1 |
Content of Learning Activity
On Eduverse :
- Introduction to Artificial Intelligence
- Expert systems and their role in the healthcare sector
- Introduction to machine learning
- Machine learning in the healthcare sector
- Introduction to machine vision
- Image recognition in the healthcare sector
On BrainTop : "Introduction à la Médecine Digitale" e-learning course
Required Learning Resources/Tools
Not applicable
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
Not applicable
Mode of delivery
- Hybrid
Type of Teaching Activity/Activities
- Cours magistraux
- Conférences
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