Program

The M2 ATSI aims to train students with a coherent program to address academic and industrial topics in the domains of

• systems and control,
• signal & image processing, and
• the foundations of machine learning with statistical learning, estimation or optimisation.

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…

Details about each unit are available here.

First Semester

The core syllabus covers the concepts that are common to and essential for all the subjects covered in the master’s program, whatever their orientation in control or signal-image.

Control Signal Image Stat.

Bloc 1 — Refresher course & introduction to research — Mandatory courses

• Introduction to research
• Mathematical tools for control, signal and image processing
• Numerical computation

Bloc 2 — Core and foundations — Mandatory courses

• Estimation
• Optimization
• Statistical Learning and Reinforcement Learning

Bloc 3 — Specialisation — Two elective courses among four

• Computational statistics Signal Image Stat.
• Control of multivariable linear systems Control
• Signal processing and imaging systems Signal Image
• Stability of nonlinear systems Control

Second Semester

Bloc 4 — Track — Four elective courses among height

Students must choose four elective courses among height, in parallel with project work and bibliographic research

• Advanced methods in image processing Image Stat.
• Control and observation for nonlinear systems Control
• Hybrid systems Control
• Inverse problems Signal Image Stat.
• Machine Learning Image Stat.
• Medical imaging Image C.V.
• Model predictive control Control
• Multi-agent systems Control

Bloc 5 — Internship

Minimum duration of 4 months between April and August in academic or industrial environment, with a report and a defense.

Remarks

Curriculum 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.