## Teaching activities

Jean-Yves Tourneret is teaching in the departments "Digital
Sciences" and "Electronics, Electrical Engineering &
Automatics" of the engineering school INP-ENSEEIHT, Toulouse
(France). He is responsible of the following courses at the
undergraduate and graduate levels:

- Deterministic and random signals
- Linear filtering
- Sampling
- Poisson Processes

- Discrete and continuous random variables
- Mathematical Expectation

- Change of variables
- Extension to random vectors

- Properties of Gaussian vectors

- The statistical model
- Estimation theory
- Maximum likelihood method
- Moment method
- Bayesian estimation

- Hypothesis testing
- Neyman-Pearson
- Generalized likelihood ratio

- Goodness-of-fit tests (Kolmogorov, Chi-Square)

- Supervised classification (Bayes,...)

- Unsupervised classification (K-means, DBSCAN, ...)

- Support Vector Machines
- Neural Networks

- Goodness-of-fit tests (Kolmogorov, Chi-Square)
- Tests based on ranks (Wilcoxon, Mann-Whitney)

- Normality tests