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Aerospace Education Catalogue

Ingénieurs ESILV, majeure : Industrie et Robotique

  • Organisation: ESILV
  • Type of Course: Initial education
  • Language(s): French
  • Place: Paris (French Regions: Ile-de-France)
  • Prepared diploma/grade/title: Diplôme d’ingénieur (French national engineering degree)
  • Level of entry: French Baccalaureat + 2
  • This training is included in RNCP / RS

Course Details

Objectives: - Modeling and simulation of manufacturing, assembly and logistics chains
- Management, control and optimization of processes and industrial data
- Product Lifecycle Management
- Lean management
- Digital twins, IoT and connected factory
- Virtual reality and augmented reality.
- Project management and innovation management
- Digital technologies and additive manufacturing
- Mechatronics and robotics
- Artificial intelligence and industry 4.0 tools

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

Acquired skills during the training : - Implement and manage modern industrial systems
- Master the production chain and methods (Lean, etc.)
- Design and size the overall organization of an industrial system: know how to model, design automated and robotized industrial production systems
- Mastering digital technologies (use of the digital model, virtualization, augmented reality, Internet of Things, AI, 3D printing)

Targeted careers : Production engineer, Quality and maintenance manager, Industrial risk engineer, Process and methods project manager, R&D engineer, 3D printing engineer, Cobotic engineer, Digital transformation project manager, Predictive maintenance engineer

Dedicated web site: https://www.esilv.fr/formations/cycle-ingenieur/majeures/

Disciplines

  • Engineering Sciences
  • System Engineering, Programme Management, Production

Topics

  • 3 - Mechanical and Materials Engineering: Solid Mechanics, Structural Dynamics, Composites, Metallurgy, Forming, Additive Manufacturing, Metamaterials, Processes, Plastics, Chemistry, Polymers, Surface Treatment, etc.
  • 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.