BUT Génie Electrique et Informatique Industrielle (GEII)
- Organisation : IUT Lyon 1 – Université Claude Bernard Lyon 1
(Université de Lyon) - Way of training : Initial education - Sandwich/Apprenticeship training
- Language(s): French
- Place: Lyon (French Regions: Auvergne-Rhône-Alpes)
- Prepared diploma/grade/title: BUT (three-year technological university degree)
- 1st required level : French baccalauréat + 0
- This training is included in RNCP / RS
Course Details
Objectives : The Electrical Engineering and Industrial Computing [GEII] department of IUT Lyon 1 is aimed at students interested in new technologies, computing, automation, renewable energies, automobiles or simply in science.
Our vocation: to train versatile senior technicians with multiple vocations capable of responding to technological developments in our society, whether in the fields of automobiles, telecommunications, housing, etc.
Several routes offered.
BUT Electrical Engineering and Industrial Computing Course: Automation and Industrial Computing
BUT Electrical Engineering and Industrial Computing Course: Electricity and energy management
BUT Electrical Engineering and Industrial Computing Course: Electronics and embedded systems
Degree Level (EU) : 6 - (EQC level or equivalent)
Dedicated web site : https://iut.univ-lyon1.fr/formation/offre-de-formations/geii
Disciplines
Topics
- 6 - Electrical Engineering: Generation and Storage of Electrical Energy, Conversion, Regulation, Power Electronics, Actuators, Electric Propulsion, Microsystems, Mechatronics...
- 7 - Embedded/Cyberphysical Systems: Embedded Networks, Real Time Systems, Formal Methods, Embedded Software, Avionics, Instrumentation...
- 8 - Electronics Systems : Analog and digital functions, Components, Microelectronics, Integrated Circuits, Samplers, ASIC/FPGA, Digital Signal Processors, Nanotechnologies
- 9 - Microwave and Photonics: Radiofrequency Functions, Propagation, Antennas, MIMO, Metasurfaces, Terrahertz, Optics, Optoelectronics, Laser, Photonic Circuits, Plasmonics, Quantum Technologies...
- 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.