Advanced mathematics master 2nd year, 2022-2023
Courses are organized in thematic programs, and there will be five such programs in 2022-2023. Courses will start in mid September. However, the programs will also offer refresher courses, that will start during the week of August 29th. The following five programs will be offered.
Partial differential equations and applications
Basic courses (3x24h)
- Evolutionary PDEs, Dragos Iftimie
- Discontinuous finite-element methods and applications, Daniel Le Roux
- Calculus of variations and elliptic partial differential equations and systems, Petru Mironescu
Advanced courses (4x18h)
- Optimal transport: introduction, applications and derivation, Aymeric Baradat
- Compressible Viscous Flows with Low or Intermediate Regularity, Didier Bresch
- Many-body quantum mechanics and mean-field limits, Nicolas Rougerie
- Numerical methods for yield stress fluids, Paul Vigneaux
Basic courses (3x24h)
- Complex algebraic geometry, Sophie Morel
- Differentiable dynamical systems, Jean-Claude Sikorav
- Introduction to Lie groups and symmetric spaces, Bruno Sévennec
Advanced courses (3x24h)
- Introduction to symplectic dynamics, Marco Mazzucchelli
- Holomorphic foliations, Stéphane Druel
- Dynamics of complex differential equations, Aurélien Alvarez and Ghani Zeghib
Algebraic, topological, and homotopical aspects of computer algebra and formalisation
Basic courses (3x24h)
- Computational Algebraic Topology, Kenji Iohara and Olga Kravchenko
- Categorical representation theory, Stéphane Gaussent and Alistair Savage
- Introduction to homotopy type theory, Philippe Malbos and Samuel Mimram
Advanced courses (3x24h)
- Computational Topology and Persistent Homology, Kenji Iohara and Philippe Malbos
- Operadic and diagrammatic linear rewriting, Stéphane Gaussent and Yoann Dabrowski
- Formalisation for the working mathematician, Filippo Nuccio
Probability and statistics
Basic courses (3 out of 4x24h)
- Statistical Physics, Christophe Garban
- Stochastic Calculus, Grégory Miermont
- Concentration of measure, Guillaume Aubrun, Aurélien Garivier and Rémi Gribonval
- Stochastic Modelling and Statistical Learning, Aurélien Garivier and Clément Marteau
Advanced courses (4 out of 6x18h)
- Scaling Limits of Interacting Particle Systems, Oriane Blondel and Christophe Poquet
- Large random matrices and applications, Alice Guionnet
- An Approach of Disordered Systems, via PDEs, Jean-Christophe Mourrat
- Neural Networks, Aurélien Garivier
- Optimal Transport and Machine Learning, Filippo Santambrogio, Ivan Gentil, Yohann de Castro, Ievgen Reedko, Julie Digne and Nicolas Bonnel
- Inverse problems and parcimony, Yohann de Castro and Rémi Gribonval
p-adic Geometry and Representations
Basic courses (3x24h)
- Local fields, Laurent Berger
- Modular and automorphic forms, Olivier Taïbi
- Introduction to rigid analytic geometry, Sophie Morel
Advanced courses (3x24h)
- Galois representations, deformations, and families of Galois representations, Sandra Rozensztajn
- Rigid geometry of algebraic curves, Amaury Thuillier
- Reductive groups over local fields, Bertrand Rémy