The M2 ATSI aims to train students to address academic and industrial research topics of a high scientific level in the domains of systems and control, data science, signal and image processing. The courses focus on methodological foundations and recent developments in these fields, which intervene directly or indirectly in many disciplines such as optics, medicine, robotics, energy, automotive...

Curriculum also trains student to research work through dedicated teaching initiatives (seminars, bibliographic work, project, etc.) and a strong involvement of the associated research laboratories. Part of the training may be given in English.

First Semester

Two mandatory courses

  • Mathematical tools for control, signal and image processing
  • Initiation to research

Four elective courses

  • Control of multivariable linear systems
  • Estimation
  • Optimization
  • Signal representation and sparse coding
  • Stability of nonlinear systems
  • Signal processing and imaging systems

Second Semester

Four elective courses

  • Machine learning
  • Model predictive control
  • Control and structural properties of nonlinear systems
  • Control for robotics
  • Robust statistics for signal processing
  • Medical imaging
  • Advanced methods in image processing
  • Inverse problems
  • Hybrid systems
  • Multi-agent systems

One internship

Minimum duration of 4 months between April and August in academic or industrial environment.