Teaching Activities (Enseignements)

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