Program/Syllabus of 2018/2019



The second year of Master in Mathematics Research and Innovation at Université de Toulouse provides a high level training in Pure and Applied Mathematics.
Our program offers several courses and research specialisation in
– Pure Mathematics;
– Partial Differential Equations (PDE), Numerical Analysis and Control Theory;
– Probability and Statistics.

Here below we provide the list of the courses planned for the academic year 2018/2019 (some of the courses will be announced in the next month). If you are interested in our M2 you are welcome to contact us for more information.

ATTENTION: Check immediately the inscription page of Université Paul Sabatier and fill immediately the pre-inscription form: the deadlines are approaching.

If you are from a non European country, in order to apply for a French diploma you have to pass through the interview system of Campus France BEFORE THE END OF MARCH 2018. Our Master appears currently in the Campus France system as « Master professionnel Sciences, technologies, santé mention mathématiques et applications parcours Recherche et Innovation » in Toulouse Université Paul Sabatier.

Recall that the standard curriculum contains 3 basic courses (denoted Ax), 2 advanced courses (denoted By), a reading seminar course (denoted Cz), an english course and a dissertation.

Each student can choose among the following list of courses or propose to replace at most one course each term by another course offered in another M2. To become definitive, this choice has to be approved by one of the faculties in charge.


LIST OF COURSES  2018/2019.


A1.    An introduction to Riemann Surfaces.  (H. Guenancia) SyllabusA1

A2.    An introduction to metric and Riemannian geometry. (J. BertrandSyllabusA2

A3.    Introduction to dynamics : ergodic tools. (F. Berteloot) SyllabusA3

A4.     Elliptic PDEs and evolution problems (P. Laurençot, M.H. Vignal). (SyllabusA4)

A5.     Convex Analysis / Optimisation and applications. (C. Dossal, F. Malgouyres, A. Rondepierre)(SyllabusA5)

A6.     Discretization of PDEs* :

A7.     Convergence of probability measures, functional limit theorems and applications. (P. Fougères) SyllabusA7

A8.     Stochastic calculus. (F. Barthe ) SyllabusA8

A9.     Asymptotic statistics and modeling. (F.BachocP. NeuvialSyllabusA9



B1.      Special functions and q-calculus. (J.Sauloy) SyllabusB1

B2.     Introduction to geometric group theory and 3-manifolds topology (J. Raimbault) SyllabusB2

B3.     Theoretical and numerical analysis of dispersive PDEs (C. Besse, S. Le Coz) (SyllabusB3)

B4.     Qualitative studies of PDEs : a dynamical system approach (G. Faye) (SyllabusB4)

B5.     Learning. (E. Pauwels) SyllabusB5

B6.     Systems of particules. (R. Chhaibi) SyllabusB6



C1.     Pure mathematics. (J.F. Barraud) Syllabus C1

C2.     PDEs and applications. (J.F. Coulombel, F. Filbet, F. De Gournay) SyllabusC2

C3.     Markov Processes. (A. Joulin and G. Fort) Syllabus C3



 * This course will be composed of two mandatory courses

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