Cours enseignés cette année (A.A. 2025-2026)
- MATH-414: Stochastic simulation
- MATH-105(a): Analyse avancée II – analyse vectorielle
- MATH-450: Numerical integration of stochastic differential equations
Cours enseignés dans le passé
- MATH-305: Introduction to Partial Differential Equations
- MATH-251(a/b/c/d): Analyse Numérique
- MATH-451: Numerical approximation of PDEs I
- MATH-472: Computational finance
- MATH-106(b): Analyse II
Cours doctoraux et reading courses
- MATH-660: Numerical methods for data assimilation
- MATH-661: Numerical methods for random PDEs and uncertainty quantification
- MATH-631: Mathematical foundation of neural networks
- MATH-633: High Dimensional Approximation for PDEs with random parameters
Autres cours et écoles d’hiver / été
- Mathematical and Algorithmic Aspects of Uncertainty Quantification (PhD course, Mathematical Models and Methods in Engineering , Politecnico di Milano, June 3-10, 2015)
- Numerical techniques for PDEs with random input data, by F. Nobile & R. Tempone. CIMPA School « Current trends in Computational methods for PDEs », IISc, Bangalore, India, July 8-19, 2013