2023: Co-supervising with Madalina Deaconu à M2 IMSD Stage.
2022: Supervising a Projet 3A for a M2 student of école de Mines de Nancy, co-supervising with Madalina Deaconu a M2 IMSD Stage, co-supervising with Antoine Lejay and Lionel Lenotre a M2 Student of Master 2 from Paris Sorbonne.
2021: Supervising of two couples of Master 1 students for TER, a Master 2 IMSD student for Projet Long, a Projet 3A for a M2 student of école de Mines de Nancy.
2020: Co-supervising a Bachelor thesis in Statistical Mechanics and an Academic reading and writing (sort of pre-master thesis) on Erdős-Rényi graphs
Statistique - Lecture 15h and Tutorial 25h, M1.
Probabilités et statistique - Tutorial 45h, L3.
Colle pour “Compléments d’analyse” en CPU 1.
Statistique - Lecture 15h and Tutorial 25h, M1.
Mathématiques Financiaires - Tutorial 11h, M2.
Mathématiques Remediation - Tutorial 20h, L1 SPI.
Probabilités et Statistiques - Lecture 18h and Tutorial 18h. ENSEM, ISN students.
Probabilités et statistique - Tutorial 45h, L3.
Training on teaching skills - 20h (optional for teacher arrived since less than five years).
UE2 (coordination) et 6 Licence PASS - Tutorial. Bachelor, first year.
Statistique - Lecture 15h and Tutorial 25h, M1.
Statistiques - Lecture 10h and Practical 12h. ENSEM, ISN students.
Probabilités et Statistiques - Lecture 18h and Tutorial 18h. ENSEM, ISN students.
Probabilités et statistique - Tutorial 45h, L3.
UE2 et 6 Licence PASS - Tutorial. Bachelor, first year. Partly online.
Statistique - Lecture 15h and Tutorial 25h, M1. Online.
Statistiques - Lecture 10h and Practical 12h. ENSEM, ISN students. Partly online.
Probabilités et statistique - Tutorial 45h, L3. Partly online.
Training on teaching skills 32h (compulsory for new teachers).
Stochastic Analysis - Tutorial 30 h, Master.
Zufällige Modelle - Tutorial and practical 30 h, Bachelor last year.
Stochastic processes (Markov Chains) - Lecture and tutorial 60 h, Bachelor last year and Master. Online.
Classification supervisée - Lecture 14h and practical 20h.
Modelisation avancée - Practical 12h.
Probabilité 2 -Tutoral 26h and practical 12h.
Classification supervisée - Practical 20h.
Mise au niveau - Lecture and tutorial 20h.
Probabilité 1 - Practical 6h.
Probabilités et Statistiques - Lecture 12h, tutorial 12h, and practical 12h.
Stochastic Analysis - Tutorial and Practical 30 h. Master.
Einführung in die mathematische Statistik - Practical 4 h. Bachelor of Informatics.