2021

Devant l'explosion de masses de données émanant de toutes les activités, il apparaît un besoin croissant de développer des outils d'analyse, de traitement et de prédiction. L’École de Recherche «Approches d’apprentissage automatique - Applications aux données de santé » apportera les notions fondamentales et techniques en Statistiques, Machine Learning et Algorithmique pour appréhender l'exploitation de masses de données, les comprendre, les analyser, et en extraire des informations utiles pour la décision.

Optimization problems are encountered in many fields (engineering, finance, economics) an can lead to various mathematical formulations: convex or nonconvex type function, blackbox function, integer or continuous type and with various constraints. In some cases, it is also important to treat the effect of uncertainties and also to handle a large amount of data measurements. 

Le but de cette école est de présenter des outils algébriques et des logiciels de calcul formel qui interviennent dans des applications des mathématiques. Il s'agit d'une part de donner des cours de base concernant les suites récurrentes linéaires, l'application des courbes elliptiques à la cryptographie et d'initier les participants à l'utilisation d'outils de calcul formel nécessaires à la résolution de problèmes mathématiques (exemple : la résolution des systèmes polynomiaux).

Le projet a pour but d'initier les doctorants et les jeunes chercheurs à quelques techniques mathématiques modernes pour le traitement théorique et numérique des données, qu'ils soient signal, image, graphes et réseaux ou nuages de points, etc. La théorie du transport optimal de masse (TOM) sera mise en avant afin d'initier les jeunes chercheurs à cette thématique moderne à l'interface entre l'optimisation, les EDP et les probabilités. Elle permet de traiter une large gamme de problèmes d'applications.

The aim of the school is to introduce graduate students to the modern categorical methods in representation theory. The three courses of the first week will focus on the basic elements required for further topics. Thus, these courses will consist on brief recollections and introductions to: Categories and modules, group actions and bisets, linear representations of finite groups and block theory. For all of them there will be training sessions in the afternoons, where problems, doubts and related questions will be discussed.

The CIMPA school « Structures ordonnées et leurs applications en finance » claims to be multidisciplinary, while fostering constructive and positive interactions between the different fields that will be covered by the occurrence. Thus, this school is based upon two main lines of action, namely, Mathematical Finance and Stochastic Calculus. However, the look at these topics will be given from an "Order" point of view, that is, within the framework of Algebraic and Analytic Ordered Structures.

Mathematical Logic is a subfield of mathematics exploring the applications of formal logic to mathematics. Its inception was motivated by the study of foundations of mathematics and it has found applications in many areas, specially in Theoretical Computer Science. The four pillars of Mathematical Logic are Set Theory, Recursion Theory, Model Theory and Proof Theory. This school intends to cover all such subjects, on different levels and with different applications.  The proposed tree basic courses have the great advantage of requiring no or little prior knowledge.

The courses are introductory to carry research activity in contemporary trends in Hodge Theory and p-adic Hodge Theory given by main actors in each activity: Hodge structures, Hodge-Tate structures, De Rham Cohomology and Betti Cohomology, Torelli type theorems, Abelian Varieties.

This  school  aims  to  introduce  young  researchers  and  students  to  actual research  problems  in  the  field  of  tilings,  packings  and  optimization.  In particular,  we  shall  focus  on  possible  original  interactions between  these thematics, as well  as connections with more classic fields as number theory, transportation modeling or word combinatorics.

The main theme of the proposed school are graph algebras, which are objects of growing interest that lie at the boundary between algebra and analysis among other mathematical fields. Despite being introduced only about a decade ago, Leavitt path algebras, as algebraic counterpart of graph C ∗ -algebras, have arisen in a variety of different contexts as diverse as symbolic dynamics, noncommutative geometry, representation theory, and number theory.