If you are a JMU student looking for course content: everything is on WueCampus.
Explainable AI (MsC) (in the Sommersemester)
Theory of Machine Learning (BsC) (in the Wintersemester)
Selected Topics in Explainable AI (Seminar, MsC)
Theory of Machine Learning (BsC)
Neural Networks at Initialization (Seminar, MsC)
Introduction to Statistics (M1 IM)
Advanced Statistics and Applications (M2 IM)
Theory of Statistical learning (M1 DSAI)
Préparation à l'agrégation, option A : probabilités et statistiques
I am also giving a short introductory lecture on interpretability to the M2 students from the MSc.
Introduction to Statistics (M1 IM)
Advanced Statistics and Applications (M2 IM)
Theory of Statistical learning (M1 DSAI)
During my PhD, I was mentoring undergraduate and graduate courses in Statistics at Université Pierre et Marie Curie and ENSAE.
Introduction to Statistics (M1)
Applied Statistics (M1)
Data analysis and regression in R (L3)
Linear optimization and convexity in Scilab (L3)
Duration models (M2)