Aerospace Education Catalogue
LP SARII : Automatisme et informatique industrielle 4.0
- Organisation: IUT de Hagueneau
(Université de Strasbourg - Unistra) - Type of Course: Life-long learning
- Language(s): French
- Place: Hageneau (French Regions: Grand-Est)
- Prepared diploma/grade/title: Vocational bachelor, three-year university vocational degree
- Level of entry: French Baccalaureat + 2
- This training is included in RNCP / RS
Course Details
Objectives: The evolution of new technologies and the emergence of industry 4.0 have given rise to new industrial professions with specific skills.
The training is aimed at people interested in automation, industrial computing, electrical engineering, electromechanics, networks, industrial robots, connected objects, etc.
Thanks to the diversified teaching methods, lots of practical lessons, and role-playing with professional speakers, graduates will be able to demonstrate a wide range of skills that are highly sought after in the rapidly changing world of industry after a year of training.
The training begins with refresher courses and the scientific and technical fundamentals in electronics, electrical engineering, automation and industrial computing. It continues with an in-depth study of these areas and ends with the major specialties of industry 4.0.
Lessons are thus provided in the “Industry of the Future” school factory of the IUT of Haguenau, which consists of two technological platforms. The establishment offers training and supervision strongly focused on the acquisition of professional skills through learning through practice and projects.
Degree Level (EU) : 6 - (EQC level or equivalent)
Disciplines
- Engineering Sciences
- System Engineering, Programme Management, Production
Topics
- 8 - Electronics Systems : Analog and digital functions, Components, Microelectronics, Integrated Circuits, Samplers, ASIC/FPGA, Digital Signal Processors, Nanotechnologies
- 10 - Control Systems and Robotics: Linear systems, Identification, Optimization, Command and Control, Filtering, Non-linear Systems, Autonomous systems...
- 11 - Data Sciences: Applied Mathematics, Signal and Image Processing, Cryptography, Artificial Intelligence (machine learning, big data, etc.), Computer Science, Cloud, Software Engineering, Virtual Reality, Virtualization, Digital Twins, Metaverse, etc.
- 17 - Programme and Production Management: Project Management, Lean, Industrialization, Life Cycle, Ecodesign, Supply Chain, Assembly Line, Digital Transformation, Factory of the Future, Integration, Maintenance, Recycling, etc.