Graduate level, Practical sessions, Université Paul Sabatier, 2019 -- 2022
Name of the course: Big Data / Machine Learning
Type: Practical sessions
Level: Graduate (M2)
Dates: From 2019 to 2022 (3 years)
Aborded notions: (Un)supervised learning, classical tools such as k-NN, Neural Networks, Random Forest, Hierarchical Clustering…
Graduate level, Practical sessions, Université Paul Sabatier, 2019 -- 2022
Name of the course: Stochastic Simulations
Type: Practical sessions
Level: Graduate (M1)
Dates: From 2019 to 2022 (3 years)
Aborded notions: Simulations using Monte-Carlo, Gaussian models, Kalman Filter, MCMC, Branching Processes, Importance Sampling, Poisson Processes…
Undergraduate level, Complete course, Université Paul Sabatier, 2020 -- 2022
Name of the course: Introduction to Statistics
Type: Complete course
Level: Undergraduate (L3, Biology)
Dates: From 2020 to 2022 (2 years)
Aborded notions: Syllabus, p16 (in French). Introduction to statistics: Random variables, estimation, confidence interval, tests.
Undergraduate level, Practical sessions, Université Paul Sabatier, 2019 -- 2020
Name of the course: Numerical methods
Type: Practical sessions
Level: Undergraduate (L1, computer science)
Dates: From 2019 to 2020 (1 year)
Aborded notions: Syllabus, p27 (in French)