The Master of Engineering Cursus ( CMI ) is an engineering training course in 5 years after the baccalaureate, organized on the international model of the "master of engineering. It is developed in partnership with a network of universities with the aim of in place a training of excellence of license and master of engineering.
It is built in compliance with a national charter and benchmark. It has a national label: FIGURE .
Goals: What types of engineers are there
The CMI Systèmes Intelligents Communicants (SIC) is a 5-year course in computer science, preparing for the professions of expert engineer. The course is based on the reinforcement of the Mathematics-Computer science license then on the IISC master.
Backed by the ETIS research laboratory , the CMI aims to train high-level scientific executives with high human potential: experts in design, R&D and innovation in information technologies with a focus on intelligent solutions and their interface with the on-board, the masses of data and telecommunications.
These new technologies generate significant expertise needs for intelligent systems in connection with various thematic fields: intelligent data analysis, real-time and on-board computing, signal processing, networks and telecommunications, imaging , Human Machine Interfaces (HMI), artificial intelligence and pattern recognition. Access to inexpensive wireless communication systems and advancements in embedded technology allow computing to invest in everyday objects seamlessly. We must also distinguish the evolution of these technologies from their insertion in other application fields. They already allow the design:
Software tools (image and sound compression, digital image processing, pattern recognition for database indexing, etc.),
Dedicated products called communicating objects or info-appliances (home automation, personal assistants, intelligent systems for the automobile, etc.), HMI,
Services for electronic commerce (specialized websites, mobile software agents, data mining, etc.),
Intuitive multimodal human-machine interfaces.
Technological changes, the internationalization of products, techniques and production systems lead to demand from technical executives an ever-expanding culture on the technological and methodological level (project management, communication) but also on the level of knowledge of the company (management, organization, teamwork, ...), as well as the mastery of foreign languages. It is for these reasons that this training oriented towards "Information and Communication Sciences and Technologies" integrates technical and scientific components ("intelligent" data analysis, real-time and on-board computing, signal processing, networks. and telecommunications, imaging, Human Machine Interfaces (HMI),
For more information: see the CMI website :
Training content
A continuous and coherent curriculum
From the license, the acquisition of fundamental concepts is accompanied by scenarios allowing a progressive orientation, allowing the student to calmly construct his course according to his capacities and his motivations.
Flexibility of belonging to the LMD system
The CMI is built around teaching units (UE) and credits, and offers possibilities of adjustment through lateral entries / exits. This flexibility is notably guaranteed by the setting up of additional teaching units, accessible at several levels of the course, and thus allowing the necessary upgrades.
A mastery of a disciplinary field
This mastery is guaranteed on the one hand by the structure of the CMI - which imposes the volume devoted to it over the five years of the course, on the other hand by teacher-researchers working at the heart of the disciplines taught: the faculty is made up of mostly members of the ETIS laboratory and offers a wide range of recognized skills in the specialties offered.
A research experience
The proximity of the ETIS laboratory allows direct contact with the research community. From L1 to M2, more than 75% of laboratory researchers are present in teaching, with an increase in familiarization with research through internships, projects, workshops and specialized teaching units.
Reinforced professional experience
A network of companies has been set up to support students in their search for an internship and apprenticeship contract.
Development of autonomy
Autonomy and other specific skills are developed through the different forms of teaching (courses, workshops, mini-projects, etc.) and role-playing. The expected skills are indeed those of high-level scientists in the field of computer science, but with an openness to both related disciplines and the human sciences.
An initiation into research from L1.
The 5-week discovery internship (L1) takes place in the laboratory
The "Embedded Artificial Intelligence" seminar day organized every year for 10 years is programmed by the laboratory, for CMI students (The day is included in the timetable)
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