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Aerospace Education Catalogue

Master 2 Systèmes Intelligents Automobiles et Aéronautiques

  • Organisations :
  • Type of Course: Life-long learning - Sandwich/Apprenticeship training
  • Language(s): English, French
  • Place: Evry (French Regions: Ile-de-France)
  • Prepared diploma/grade/title: Master or DNM: French National Master Degree
  • Level of entry: French Baccalaureat + 4
  • This training is included in RNCP / RS

Course Details

Objectives: The objective of the "Automotive and Aeronautical Intelligent Systems" focus is to master the concepts, models and techniques necessary for the design and development of intelligent systems: land vehicles (cars, 2-wheelers), air vehicles, aeronautical robotics and space, etc. The SIAA course deals with the entire “perception, decision, action” cycle without obscuring the communication and interfacing aspects between the control part and the operational part. The disciplines covered are: modelling, simulation, automation, signal and image processing, on-board computing, communication, risk factors, knowledge of the company.

Pedagogically, the Master E3A apprenticeship training on the Evry site, high-level training as close as possible to the latest technologies and in close contact with manufacturers and recognized research laboratories in the field, provides the skills necessary to participate in the many technological challenges of the industry and to be able to exercise responsibilities quickly. Apprenticeship training, based on the principle of alternation, combines the advantages of traditional university training (theoretical and practical) and in business (acquisition of experience). Apprentices are gradually prepared to become field engineers who perfectly meet the current demands of ETIs and large companies, using their experience in the professional environment and capable of ensuring a certain versatility in the workplace.

Degree Level (EU) : 7 - (EQC level or equivalent)

Acquired skills during the training : In terms of know-how and skills, the apprentice will know:
- Model and optimize a complex system
-Implement a system approach on concrete engineering problems in the innovation professions
- Master: dynamic modeling of vehicles, vehicle architecture, on-board architectures and interface methodology, the functional chain associating sensors, actuators and effectors as well as the hardware and software architectures of the interfaces between the different elements of an automated system, simulation tools and software-hardware rapid prototyping
- Acquire: transversal vision in automatic control of embedded systems, knowledge of embedded signal processing, basics necessary for the processing of two-dimensional signals (algorithms)
- Being able to exploit the signals
-Know how to comply with design objectives and constraints
- Have a developed sense of analysis and observation
- Have listening, exchange and pedagogy skills
- Master English, scientific English.

Notes: The training involves on the one hand an acquisition of experience within the company and on the other hand a higher education within the framework of the UFR ST of the University of Evry Val d'Essonne. Master E3A apprenticeship training - Site Evry - is organized in collaboration with the CFA-EVE.

Partnerships with national organisations: CFA-EVE

Dedicated web site: https://www.universite-paris-saclay.fr/formation/master/electronique-energie-electrique-automatique/m2-systemes-intelligents-automobiles-et-aeronautiques-apprentissage#presentation

Dedicated web site : https://formations.univ-evry.fr/plugins/evry/odf/_content/subprogram-systemes-intelligents-automobiles-et-aeronautiques-apprentissage.pdf (Univ. Evry)

Disciplines

  • Engineering Sciences
  • System Engineering, Programme Management, Production

Topics

  • 8 - Avionics and on-board Systems (embedded networks, sensors, instrumentation, etc.), Real-time Systems
  • 10 - Control Systems, Robotics, Guidance and Control, Autonomous Systems
  • 11 - Computer Science, Applied Mathematics, Modelling, Optimisation, Digital and Data Sciences, Big Data, Cryptography, Cybersecurity, Artificial Intelligence
  • 14 - Transports, Intelligent Transportations Systems (ITS), Mobility, Vehicles, Unmanned Aerial Vehicles (UAV)
  • 16 - System Engineering, Product Assurance and Safety, Qualification/Testing, Validation & Verification, Metrology, Certification