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.
If you are a PhD student that wants to be an auditor (guest, non-degree-seeking) to a course, ask to the staff and fill this form please.
Double degree
The master accepts students from CentraleSupélec, IOGS and Polytech Paris-Saclay for double degree. Choice rules are here and select the track you are interested in.
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.
Bloc 1 — Refresher course & introduction to research
Two mandatory courses
One elective course among two
Bloc 2 — Core and foundations
Mandatory courses
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 — Personalisation
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.
