During their final year, students may choose from among 8 specializations, followed by a 6-month internship which may be done in France or abroad, either in a company or in a lab.
Control and Power Engineering
Through this specialization, students are trained in process control and automation when related to industrial systems. Stress is put on the control of electrical power.
Courses revolve around two complementary areas :
- Controls :
Industrial computer science, industrial electronics, digital servo-control, advanced control, diagnosis
- Actuators :
Electrical machines, power electronics, quality of energy, sensors
The multidisciplinary nature of this specialization gives future engineers the ability to design and realise the automation of complex industrial systems, with a strong background in electronics and actuators.
This specialization enables students to supplement their general training with a more detailed one in analog electronics.
Students specialize in microwaves, antennas and optical communications and what they acquire is easily implemented in various fields using analog electronics (hertzian telecommunications, radiocommunications, telecommunication networks, electromagnetic compatibility, the implementation of sensors (electromagnetic, optical or ultrasonic), and analog integrated circuits.
Students specialize in industrial measurement and biotechnologies.
It is a way to deepen their knowledge in applied electronics and physics. This provides an opening towards medical and biotechnological applications via courses dealing with the fundamental questions related to biotechnologies combined with analog and digital electronics. Students are thus able to design measurement systems from sensors to data digital processing, together with instrumentation and data acquisition.
This specialization enables students to design a complete electronic system, with measurement, data acquisition, processing, communication and control algorithms.
Therefore, it is a system complete with analog electronics, digital electronics and adequate software.
Embedded systems are the most obvious outcomes in this specialization which include various fields : automobile industry, aeronautics, medical industry, trains, telecommunications and/or electronics.
Computer Science and Systems
A strong knowledge in computer science is provided to students through this specialization. They will be able to manage and control projects related to industrial computer science.
One part of the course is devoted to the study of computer architecture and operating systems, while the other part deals with studying and experimenting with new techniques in cognitive sciences, image processing and pattern recognition.
Future engineers learn how to manage the design of a mechatronic system. The objective of the course is to enable students to specify, model and analyze a system characterized by the simultaneous use of mechanics, electronics and computer science.
Active suspensions, automatically guided vehicles and camcorders are examples resulting from research in mechatronics.
4 scientific modules comprise this specialization :
- specification and modelling of a mechatronic system
- mechanical engineering
- industrial computer science
This specialization is taught in partnership with the Institut Supérieur de Mécanique de Paris (Supméca) and students from both schools have classes together.
Networks and Telecommunications
Students acquire concepts and tools used in the design and implementation of telecommunication systems. Future engineers also learn how to design network architectures.
The "telecommunications" part deals with information coding and digital communication (from the more classic means to the newest methods) using general knowledge in transmission and signal processing,
Some of the competencies achieved are analysis of how a complete system works, assessment of its performance and implementation of measurement techniques.
The "networks" part deals with the major types of protocols, LAN/WAN profiles, technological solutions, what operators currently offer and tools to appraise the performances of a network and its administration so as to design networks architecture.
Signal Processing and Artificial Intelligence
A good knowledge in signal processing (problematics, methods, theoretical models, algorithms) is necessary to follow this specialization.
Students will be able to design, program and realise real time systems with the help of various tools (C language, DSP, ASIC, FPGA).
A deeper knowledge in digital communications as a specific field to implement signal processing is also given.
Special training to master the theoretical part of signal processing as well as the operational ability to realise electronic systems is involved.