Centrale Lyon training courses
en
fr
2023-2024 M2 Mathématiques Appliquées, Statistique - parcours Math en Action - Semestre 3
Master in Applied Mathematics, Statistics
M2 Applied Mathematics, Statistics - Math in Action track
Content
Modélisation déterministe (obligatoire)
Numerical methods for PDEs
Variational methods for PDEs
Modélisation stochastique et apprentissage statistique (obligatoire)
Stochastic differential equations and probabilistic numerical methods
en
Statistical engineering
Wave propagation : theory and applications Wave propagation : theory and applications Wave propagation : theory and applications
en/fr
Optimal transport for learning
en/fr
Mathématiques Appliquées, statistique (optionnel)
Parcimonie et grande dimension
Markov processes and Gaussian processes for modelling temporal and spatial phenomena
Variational methods for inverse problems in medical imaging
Optimal transport for learning
en/fr
Evolutionary Biology
en/fr
Cellular Dynamics and Complex Systems
en/fr
Epidemiology - Mathematics, Biology and Medicine field
en/fr
Modelling in spatial ecology
en/fr
Equations of fluid mechanics and their numerical approximation
en/fr
Modelling to assess the risks associated with climate change
en/fr
Graphs and ecological networks
en/fr
Geometric approaches to images and shapes
en/fr
Neural networks
en
Physical problems in unbounded media : mathematical analysis and numerics
en/fr
Code
24_M_MAS_M2_MEA_S3
Managers
Laurent SEPPECHER
Master in Applied Mathematics, Statistics
M2 Applied Mathematics, Statistics - Math in Action track
2023-2024 M2 Mathématiques Appliquées, Statistique - parcours Math en Action - Semestre 3
Modélisation déterministe (obligatoire)
Numerical methods for PDEs
Variational methods for PDEs
Modélisation stochastique et apprentissage statistique (obligatoire)
Stochastic differential equations and probabilistic numerical methods
en
Statistical engineering
Wave propagation : theory and applications Wave propagation : theory and applications Wave propagation : theory and applications
en/fr
Optimal transport for learning
en/fr
Mathématiques Appliquées, statistique (optionnel)
Parcimonie et grande dimension
Markov processes and Gaussian processes for modelling temporal and spatial phenomena
Variational methods for inverse problems in medical imaging
Optimal transport for learning
en/fr
Evolutionary Biology
en/fr
Cellular Dynamics and Complex Systems
en/fr
Epidemiology - Mathematics, Biology and Medicine field
en/fr
Modelling in spatial ecology
en/fr
Equations of fluid mechanics and their numerical approximation
en/fr
Modelling to assess the risks associated with climate change
en/fr
Graphs and ecological networks
en/fr
Geometric approaches to images and shapes
en/fr
Neural networks
en
Physical problems in unbounded media : mathematical analysis and numerics
en/fr
2023-2024 M2 Mathématiques Appliquées, Statistique - parcours Math en Action - Semestre 4
Optimisation et Représentation Parcimonieuse (obligatoire)
Optimisation and Sparse Representation
Langue Vivante
English - shared Masters course
en
Stage
Stage MEA