Teaching activities
Jean-Yves Tourneret is teaching in the department of
Telecommunications & Networking and the department
of Electronics & Signal Processing 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)
- Stationarity and ergodicity
- Wiener Filtering
- Matched Filtering
- Kalman Filter
- Introduction to non-stationarity
- Principal component Analysis
- Linear Discriminant Analysis
- Bayes classifier
- The k-Nearest-Neighbor rule
- Parzen windows
- Support Vector Machines
- Neural Networks
- Estimation Theory
- The maximum Likelihood estimator
- Bayesian estimation
- The posterior Craler-Rao bound
- Detection Theory
- Neyman-Pearson
- Bayes test
- Composite hypothesis testing
- Goodness-of-fit tests (Kolmogorov, Chi-Square)
- Markov chains
- Stationary Sequences
- Markov Chain Monte Carlo Methods