Tracks

The 2nd and 3rd year courses are gathered below by domain. The prerequisite courses (indicated by a*) for the Master in Data Science and appearing in the track of the same name remain valid and must be validated during the Bachelor.

Track 1 : Software Construction
  • Functional programming
  • Introduction to database systems
  • Introduction to operating systems
  • Operating systems implementation
  • Parallism and concurrency
  • Programmation orientée système
  • Projet programmation système
  • Software development project
  • Software engineering
Track 2 : Computer Engineering
  • Architecture des systems-on-chip
  • Computer architecture
  • Introduction to multiprocessor architecture
  • Projet de systems-on-chip
Track 3 : Computer Science Theory
  • Algorithms
  • Theory of computation
Track 4 : Networks and Communications
  • Signals and systems (for EL&IC)
  • Modèles stochastiques pour les communications
  • Principles of digital communications
Track 5 : Signal and Image Processing
  • Analyse IV
  • Signals and systems (for EL&IC)
  • Signal processing for communications
Track 6 : Visual Computing
  • Introduction à l’informatique visuelle
  • Introduction to computer graphics
  • Numerical methods for visual computing
Track 7 : Biocomputing
  • Chimie générale avancée
  • Introduction aux sciences du vivant (pour EL&IC)
Track 8 : Data Science
  • Analyse IV
  • Internet analytics
  • Introduction to machine learning*
  • Modèles stochastique pour les communications*
  • Signal processing for communications
  • Signals and systems (for EL&IC)*
* Mandatory courses in the track