Department of Electrical and Computer Engineering

The General Engineering degree brochure - Summary Track

Course structure*   Year 1   Year 2   Year 3
* (available in English "EN" on the respective pdf files)


This department groups students according to the following majors of the General Engineering degree: "imaging, signals and data science" and "systems engineering, control theory and computer vision".

It covers all the disciplines of Télécom Physique Strasbourg that are related to:

  • signals, whether in analog or digital form, mono-dimensional or multidimensional, representing temporal data such as sound, spatial data such as image, or spatio-temporal data such as video
  • systems as a complex and structured set of constantly interactive mechanical, electronic and computer components such as robots, embedded systems or electronic circuits that perform useful tasks.

Imaging, Signals and Data Science

The Imaging, Signals and Data Science major course addresses problems and methods related to the processing and analysis of signals, images and data. It includes both methodological and application modules as well as practical work which is an important part of the course.

The issues linked to image and data processing and analysis (Data Science) are becoming increasingly important for companies and research structures. This evolution is due to the growing need to process the massive availability of data (more and more powerful scientific imagers, data generated by human activities and connected objects. Students have the possibility to follow a Master’s dual degree program via the Image and Data course from the Imaging, Robotics and Biomedical Engineering Master's degree.

Systems engineering, control theory and computer vision

The courses in this major aim to provide students with cross-disciplinary skills in the fields of robotics, computer vision, advanced control and industrial computing. In addition, a considerable portion of the program is allocated to projects.

The engineers must be able to meet the new challenges related to the factory of the future (robotics, field networks, connected objects, supervision systems), as well as autonomous systems (autonomous vehicles, drones, personal assistance) and energy transition (smart-grids, energy optimization, sustainable engineering).

The skills acquired allow for the modeling, simulation, control and optimization of complex dynamic systems. These systems use information from simple sensors as much as from more sophisticated sensors that have recently appeared in the industry, such as cameras used to control a manipulator arm or a mobile robot in real time.

Dual degree programs are accessible through the Control Theory and Robotics course of the Imaging, Robotics and Biomedical Engineering Master’s degree.

Internships and career opportunities

Top 5 of the companies that receive the highest number of students on internship:

  • Imaging, signals and data science: Thales, CEA, ONERA, Philips and General Electric
  • Systems engineering, control theory and vision: Bosch, Thales, Airbus, Renault and Daimler