I teach the following courses:
Sûreté de fonctionnement et Retour d'expériences ( Reliability and Feedback Data Collection) , 5th Engineering Year in Management opérationnel Maintenance et Maîtrise des risques (M3)
Introduction to Deep Learning and Artificial Intelligence (5th year, Ingénierie de l’Information et des Systèmes) :
- Theory: Basics, ANN, CNNs, RNNs and LSTM.
- Practicals: In Jupyter notebook, ANN: classification MNIST data, MNIST fashion data; CNN based: CIFAR data classification, LSTM based: prediction of time series
- Slides available at request.
- Student Feedback ( in French) 2019-20, 2020-2021,
Introduction to Reinforcement Learning and Deep Reinforcement Learning for Control
- Theory: Basics, Markov Decision Processes, Dynammic Programming, Model free control (SARSA and TD control), Function Approximation (Deep Neural netowrks),
- Deep reinforcement Leanring ( DQN and DDPG).
- Environments solved in Tutorials (OpenAI gym based Environments)
Cartpole , Inverted Pendulum and Bipedal Walker
Decision support and Artifical Intelligence for Predictive Maintenance (5th Year, M3)
- Decision support ( multi-criteria decision making): AHP, TOPISIS
- Deep Neural netowrks for decision : ANNS, RNNs,
- Deep leanring based Prognostics for Predictive maintenance.
Digital Signal processing (Traitement du signal numérique), 4th Year, Tutorials and Practicals (TD et TPs) , M3)
Codage et Architecture des Ordinateurs (1st year)
Youtube Videos of TD (study from home-COVID19): TD1,TD2,TD3