The Teaching Team
The year 2 Master's in Fundamental and Applied Mathematics is coordinated and directed by Sorin Dumitrescu
Analysis
 Rémy Rodiac
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 Ivan Moyano
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Mathematical Tools for Partial Differential Equations |
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Numerical Methods for Partial Differential Equations |
 Stella Krell
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Advanced Methods for Numerical Analysis & Computer Science |
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Isabelle Tristani
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Alegbra/Geometry
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Michele Ancona
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Ursula Ludwig
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 Sorin Dumitrescu
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Complex Geometry |
Thierry Goudon
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Emmanuel Militon
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 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 |
 François Delarue |
Advanced Stochastics and Applications |
 Rémi Catellier |
Stochastic Calculus and Applications |
Shared Courses
 Damien Garreau |
Linear Algebra for Data Analysis; Advanced Learning: Functional, Mixed and Text Data |
Sylvain Rubenthaler |
Theory of Statistical Learning |