MOHAMED MBEHOU
Summary:
Modélisation des écoulements des fluides
Patrick Tchepmo Djomegni
Summary:
Algebraic curves over finite fields
Christophe Ritzenthaler
Summary:
Monomorphism Categories and Their Applications
Rasool Hafezi
Summary:
Topology and Big Data
Michel Jambu
Summary: La topologie computationnelle est une partie des mathĂ©matiques qui a vu le jour au dĂ©but des annĂ©es 2000 et qui est un domaine actif de recherches. De nombreux problĂšmes se posent et le centre dâErbil devrait pouvoir y apporter sa contribution.
AI and Deep Learning in Image Processing- Focus on Medical Image Processing
Maleika Mehr Nigar Mohamed Heenaye-Mamode Khan
Summary:
Extremal graph theory
Tomas Vetrik
Summary:
Extremal problems in graph theory related to distances in graphs, diameter of a graph, vertex degrees, vertex-transitive graphs and Cayley graphs will be studied in the lectures. The lecturer will introduce those concepts, and present theorems and proofs of some theorems. The theory will be illustrated by a lot of examples. The lecturer will also include research topics with applications in computer science, such as the degree-diameter problem, in his lectures.
Multilevel optimization : from theory to applications in energy management
Didier Aussel
Summary:
The aim of this course is fourfold, namely :
1. to introduce multi-leader-follower games
2. to explore the recent theoretical advances
3. to present some of the numerous applications of these optimization model
4. to present, in the case of Single-Leader-Follower games (SLMFG), the very recently tested SOS1-numerical scheme to determine, numerically, some solutions of these difficult problems.
Modélisation en Epidémiologie
Patrick Tchepmo Djomegni
Summary: De ce cours, nous espĂ©rons que les Ă©tudiants auront des outils minimums pour modĂ©liser la propagation des maladies Ă©pidĂ©miques, et Ă©tudier des stratĂ©gies de contrĂŽle. Les Ă©tudiants acquerront de connaissances nouvelles qui les prĂ©pareront pour leurs travaux thĂšse (mĂ©moire). LâuniversitĂ© en bĂ©nĂ©ficiera aussi Ă travers le renforcement des capacitĂ©s de ses futurs enseignants.
Mesures Aléatoires de Poisson
Etienne Pardoux
Summary: On prĂ©sente les mesures alĂ©atoires de Poisson, et comment celles-ci permettent de construire les processus de LĂ©vy, mais aussi les Ă©quations diffĂ©rentielles stochastiques Ă sauts, ainsi que les processus de branchement Ă espace dâĂ©tat continu