The Teaching Team
The year 2 Master's in Fundamental and Applied Mathematics is coordinated and directed by Sorin Dumitrescu
Analysis
 Thomas Rey
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Functional Analysis |
 Ivan Moyano
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Mathematical Tools for Partial Differential Equations |
 |
Numerical Methods for Partial Differential Equations |
 Stella Krell
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Advanced Methods for Numerical Analysis & Computer Science |
 Stephane Junca |
Advanced PDE Analysis |
Alegbra/Geometry
 François Labourie
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Differential Topology and Geometry |
 Stéphanie Nivoche
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Introduction to Several Complex Variables (Complex Analysis) |
 Sorin Dumitrescu
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Complex Geometry |
 Laurent Stolovitch
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Introduction to Nash-Moser Theory & Applications in Dynamical Systems & Geometry |
 Zhyan Zhao
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Introduction to Nash-Moser Theory & Applications in Dynamical Systems & Geometry |
 Khazkhgali Kozhasov
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Geometric Statistics |
Probability and Statistics
 Marco Corneli
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Statistical Learning from and for Graphs |
 Yassine Laguel
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Fundamentals of Machine Learning |
 Stéphane Descombes |
Computational Optimal Transport |
 Sylvain Rubenthaler |
Probabilistic Computational Methods |
 Etienne Tanré |
Advanced Optimization |
 Rémi Catellier |
Stochastic Calculus and Applications |
 François Delarue |
Advanced Stochastics and Applications |
 Elena Di Bernardino |
Mixed Effect Models and Population Variability |
| Roland Diel |
Probabilities; Modelisation and Simulation (probs/stats); Lessons on [Agregation] |
Asya Metelkin |
Modelisation and Simulation (probs/stats) |
Shared Courses
| Elena Di Bernardino |
Floods and Forest Fires |
Sylvain Rubenthaler |
Theory of Statistical Learning |
 Damien Garreau |
Linear Algebra for Data Analysis; Advanced Learning: Functional, Mixed and Text Data |