Teaching
Winter term 2024/2025
- Méthodes Numériques pour les EDP 2
(Numerical methods for PDEs 2)
M2 Master course at the Université de Strasbourg → Moodle course
- Numerical resolution techniques for engineering
(TP)
M1 Master course at the Université de Strasbourg
- Implicit-Explicit Runge-Kutta time integration methods
Mini-course at the University of Verona
Previous courses
- Numerical resolution techniques for engineering
(TP), Winter term 2023/2024
M1 Master course at the Université de Strasbourg
JMU Würzburg & JGU Mainz (2015-2017, 2020-2023)
- Numerics for Ordinary Differential Equations (JGU, teaching assistant)
- Analysis 1, 2 (JGU, JMU, teaching assistant)
- Numerical Analysis 2 (JMU, teaching assistant)
- Mathematics for engineering (JMU, teaching assistant)
Master students
- Komi Joseph Beni Assigbe, Oussama Bouhenniche,
M2 project, co-advisor V. Michel-Dansac, 2024-2025.
Topic:
Well-balanced schemes for the Shallow-water equations with application to tsunami or flooding events.
- Adama Dieng, Chahid Rahouti,
M2 project, 2024-2025.
Topic:
Structure-preserving integration methods for ODEs with Hamiltonian structure.
- Antoine Regardin,
M1 project and internship, co-advisor E. Franck, 2024.
Topic:
Self-Adaptive-Theta (SATh) schemes applied to scalar hyperbolic PDEs and the RIPA model
- Virgile Bertrand,
M2 internship co-advisors E. Franck, V. Michel-Dansac, 2024.
Topic:
Introduction to the Taichi framework for simulation in fluid dynamics
- Jérémy Pawlus,
M1 project co-advisor V. Michel-Dansac and internship, 2023.
Topic:
Introduction to finite volume methods on unstructured grids: application to the Euler equations and implementation in Julia
- Diana Sol Angel Fonseca-Hincapie,
M2 project, co-advisors E. Franck, V. Michel-Dansac, L. Navoret, 2023.
Topic:
Approximation of hyperbolic partial differential equations with discontinuous neural networks