Teaching directory
Course 2023-2024

Modélisation mathématique des maladies infectieuses [SMATM128]

  • 6 credits
  • 30h+30h
  • 2nd quarter
Language of instruction: French / Français

Learning outcomes

This course aims to bring together different skills related to the mathematical modeling of infectious diseases, and in particular covid-19.

Objectives

The objective for the student would be to acquire a certain autonomy regarding the design and construction of a mathematical model on infectious diseases, using machine learning techniques applied to real data.

Content

• General introduction to epidemiology
• Simple SIR-like compartmental mathematical models
• Complex age-structured compartmental models
• Blackbox optimisation and MCMC
• Scenarios and interpretation of results

Teaching methods

Magistral lectures (4H to 6h/week) during the first weeks. Then, the student will have to implement their own model in a free language, under the supervision of an assistant.
 

Evaluations

The exam will consist of a presentation of the work carried out regarding the implementation of the model and the results obtained.
 

Recommended readings

Slides on webcampus.
Handbook of Infectious Disease Data Analysis, Leonhard Held, Niel Hens, Philip O'Neill, Jacco Wallinga, Chapman & Hall/CRC handbooks of modern statistical methods, CRC Press, 2019

Language of instruction

French / Français

Location for course

NAMUR

Organizer

Faculté des sciences
Rue de Bruxelles, 61
5000 NAMUR

Degree of Reference

Master's Degree