Space applications
training courses

Ingénieur Filière Automatique et Systèmes Intelligents (ASI)

• Organisation : Grenoble INP - Ense3
• Way of training : Initial education - Life-long learning
• Language(s): French
• Place: Grenoble (French Regions: Auvergne-Rhône-Alpes)
• Prepared diploma/grade/title: Diplôme d’ingénieur (French national engineering degree)
• 1st required level : French baccalauréat + 3
• This training is included in RNCP / RS

Course Details

Objectives : Automatic Automatic and Intelligent Systems is a sector that allows to obtain the skills in modeling, simulation and design of cyber-physical systems, i.e. a system where computer elements collaborate for the control-command of physical entities. The sector also aims to make these systems more intelligent, optimized and automated. These same systems are thus safer, better diagnosed and monitored.
This sector leads to many trades around the sectors relative to energy, automotive and aerospace transports, as well as the environment and industrial processes.

Public concerned : Students coming from the 1st year of the core course of Ense 3
Students level M1 MST/UP3

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

Admission requirements : Student records for holders of French Bac+3 and 4

Prerequisites : Rather 1st year of the core course of Ense3

Targeted careers : This path trains engineers exercising functions such as: engineer of study and research, Engineering, Engineer systems, Engineer advice / service, Project manager, Engineer of affair, around domains Automatic, Contrôle-commande, Automatism, Production, Maintenance, safety, Surveillance, Diagnosis, and in the sectors of the transport, the energy, the environment and the industrial processes.
Firms in support:ACTIA, ACTEMIUM, ALSTOM, AREVA, ATOS ORIGIN, BOSCH, CNES, DCN, DELPHI, EADS, EDF, FRAMATOME, IFP, PSA, RENAULT, RTE, SAFRAN, SAMES TECHNOLOGIES, SCHNEIDER ELECTRIC, SHELL, SNCF, SNR, THALES, ST MICROELECTRONICS, TOTAL, VALEO.

Duration and terms : 4 semesters

Dedicated web site : https://tinyurl.com/wbjwyq5

Space Technologies and Scientific Disciplines

• Robotics and autonomous systems (Control systems, guidance, navigation...)
• Data processing and analysis (Signal and image processing, big data, learning algorithms, artificial intelligence...)