This course is eligible to be entirely taken on-line.
This course is organised in 180 hours: 60 hours of theorical lecturing, and workshops, and 120 hours of supervised student independent work.
The teaching program will include mentoring sessions using Information and Communication Technologies. All the course material, including homework, training exercises, quizzes, self-assessment tests, discussion forums and workshops will be available on the course on-line teaching platform.
Exams
The evaluation of each teaching module is done according to its own modalities. Both continuous assessment of knowledge and a final exam will be considered to determine the PGDip/DESU final global grade. In order to pass each teaching module, a minimum grade of 10 out of 20 is required.
In order to obtain the final PGDip/DESU diploma a minimum global grade of 10 out of 20 is required. There is no compensation between teaching modules.
Only one evaluation session is organised per academic year.
Teaching location
Lectures will take place in the multimedia classrooms of the Faculté des sciences médicales et paramédicales of Marseille, France.
This course is eligible to be entirely taken on-line.
Overview of the programme
The main subjects taught are:
- The basic principles and methods of public health, statistics, computer science, epidemiology, human, economic and social sciences;
- The fundamentals of programming and the main artificial intelligence tools for public health;
- Advanced algorithms and methods of artificial intelligence and how to program them using Python and R;
- The organisation and management of an artificial intelligence-based project applied to health data.
| Name of the Teaching Unit | Descriptive sheet | Schedule |
|---|---|---|
| PHS-PHRM: Patient’s perceptual health measurement and narrative-based medicine | 📄 | 📅 |
| INF-PROF: Programming fundamentals for health data | 📄 | 📅 |
| INF-GRAM: Artificial intelligence programming | 📄 | 📅 |
| CHA-AIPH: Artificial intelligence challenges for public health |
