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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Sebastian Minjeaud
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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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Algebra/Geometry
|
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
|
Statistical Learning from and for Graphs |
Yassine Laguel
|
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 |