Since Sep. 2020 

Master OIVM - SDTS (Distributed Systems and Data Science Technologies) UPEC

  • Stochastic Optimization 
  • Deep learning 
  • Non-superivsed learning 
  •  Supervised Learning 
  • Design and complexity of Algorithms 
  • Linear and gradient based optimization

2015-2019 

DSTI (Data Science Tech Institue) Paris 

 

  • Stochastic Optimization 
  • Artificial neural Networks and Deep learning 

 2010-2020 

Master SDTR (Distributed Systems and Network Technologies) UPEC

  • Optimization and metaheuristics 
  • Industrial local networks 
  • C/C++ programming 
  •  Machine Learning 
  • Algorithms and graphs 
  • Introduction to Parallel and Distributed systems.

Engineering school ISBS (BioSciences Engineering education) 

  • Matlab programming
  • Projects Supervising 

DSTI (Data Science Tech Institue) Paris 

  • Algorithms design
  • Introduction to Bayesian Neural Networks

ESME SUDRIA Paris

  • Operational research 
  • Pattern recognition 

ESIEE Paris schools of higher education

  • Image and signal processing

 


2006-2010

Université Paris 12 

  • Medical image processing 
  • Applied numerical methods
  • Supervising students' projects.  

 2004-2005

Université Paris 12

  • Automation and Control 
  • Signal Processing
  • Operating Systems

 


2000-2002

 

University of Batna

  • Introduction to Algorithms and programming