This lecture intends to present the basics of infectious disease epidemiology, mathématical modelling (compartmental models and IBM), machine learning process on real data, age-structured models and use of real contact data, statistical inference (MCMC, bootstrapping), ... The student whould be able to buikld and implement his own model.
More information can be found in the French description.
| Training | Study programme | Block | Credits | Mandatory |
|---|---|---|---|---|
| Master in Mathematics, Teaching focus | Standard | 0 | 6 | |
| Master in Mathematics, Research focus | Standard | 0 | 6 | |
| Master in Mathematics | Standard | 0 | 6 | |
| Master in Mathematics, Project Engineering | Standard | 0 | 6 | |
| Master in Mathematics, Professional focus in Data Science | Standard | 0 | 6 | |
| Master in Mathematics, Teaching focus | Standard | 1 | 6 | |
| Master in Mathematics, Research focus | Standard | 1 | 6 | |
| Master in Mathematics | Standard | 1 | 6 | |
| Master in Mathematics, Project Engineering | Standard | 1 | 6 | |
| Master in Mathematics, Professional focus in Data Science | Standard | 1 | 6 |