Centrale Lyon training courses
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Optimization and Sparse Representation - Mandatory
Msster's Degree in Applied Mathematics, Statistics
Semester 4
Content
Optimisation and Sparse Representation
Code
25_M_MAS_M2_MEA_S4_ORP
Managers
Laurent SEPPECHER
Msster's Degree in Applied Mathematics, Statistics
Semester 3
Deterministic Modelling - Mandatory
Numerical methods for PDEs
EDP Mathematical Modelling and Analysis
Stochastic Modelling and Statistics Learning - Mandatory
Stochastic differential equations and probabilistic numerical methods
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Statistical engineering
Applied Mathematics, statistics - Optional
Sparsity & Convexity
Bayesian statistical methods for complex numerical models
Variational methods for inverse problems in medical imaging
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
Optimal transport for learning
en/fr
Deterministic mathematical models for the environment
Semester 4
Optimization and Sparse Representation - Mandatory
Optimisation and Sparse Representation
Language
English - shared Masters course (GoFluent)
en
Math in Action Internship
MEA Internship