Training Structure
College of Sciences
Program
Automatic Multivariable
5 creditsSignal Processing
4 creditsAnalog Electronics, Photonics, and Systems
6 creditsDigital Electronics
3 creditsEnergy Conversion Systems
5 creditsComputer Engineering for the EEA
4 creditsLogic Synthesis / VHDL
3 credits
English
2 creditsProject
5 creditsInternship or Final Project
10 creditsCommunication Techniques
3 creditsPower Generation and Electrical Grid Modeling
6 creditsRenewable Energy - Smart Grids
4 credits
Automatic Multivariable
ECTS
5 credits
Training Structure
College of Sciences
The module will cover the following topics:
- The Relationship Between Transfer Functions and Differential Equations
- Representation and Continuous Status Feedback (Eigenvalues, Stability)
- Sampled State Representation and Feedback
- Feedback Control Without and With Full-Loop Control, LQR Control
- State observers
- Nonlinear Control with Examples
Practical exercises: applying what you've learned to real-world examples (e.g., electric motors), programming in Python (using the NumPy and Control libraries).
Signal Processing
ECTS
4 credits
Training Structure
College of Sciences
This course complements a basic education in signal processing with in-depth knowledge of deterministic and random digital signals. This knowledge is essential in all engineering disciplines, as digital signal processing is currently used in the majority of applications.
In the first part (10:30 a.m. lectures, 6 hours of lab work), the course covers the sampling and quantization of continuous signals and the relationship between digital signals and the original continuous signal. It defines the discrete Fourier transform of digital signals, its estimation, and its application to real deterministic signals.
The second part of the course (9 hours of lectures, 4 hours and 30 minutes of tutorials, 3 hours of lab) is devoted to random signals and how the properties of certain random signals can be used either to reduce the random component of a signal when the deterministic component is of primary interest (filtering, increasing the signal-to-noise ratio, etc.), to improve information transmission, or to identify linearized complex systems.
Analog Electronics, Photonics, and Systems
ECTS
6 credits
Training Structure
College of Sciences
- This course complements the foundational training in analog electronics with in-depth knowledge of signal filtering, amplification, and modulation. This knowledge is essential for understanding and designing analog electronic systems in all fields of engineering.
- Instruction is organized in the form of lectures, tutorials, and lab sessions, which provide opportunities for mini-projects.
Digital Electronics
ECTS
3 credits
Training Structure
College of Sciences
This course, which focuses on the fundamentals of digital electronics, is structured in a unique way around a technical project—carried out individually or in pairs—whose progress will follow the pace of the associated lectures.
Each project topic will be assigned at the beginning of the course.
The key concepts of digital electronics will be explored in depth through lectures, and lab sessions will supplement the theoretical aspects to guide the project’s progress.
Energy Conversion Systems
ECTS
5 credits
Training Structure
College of Sciences
This course consists of several sections. The first section covers the power electronics structures required to power an electronic system. The second section will focus on current- or voltage-based control of these structures. A third section will cover the conversion functions required to control MCC and brushless DC actuators.
The final section presents actuator topologies for robotics and their implementation. The control of a DC motor and the self-driving control of a synchronous motor will illustrate this final section.
Hands-on exercises will allow students to observe the principles and implementation of controlled systems for electronics and actuators. This course unit may serve as the basis for M1 project topics.
Computer Engineering for the EEA
ECTS
4 credits
Training Structure
College of Sciences
Computer engineering is the discipline that deals with the design, development, and manufacture of computer systems, from both a hardware and software perspective.
This field has become fundamental to engineering sciences—whether in electronics, robotics, signal processing, or measurement—due to the significant role that computers have come to play in all of these areas.
This module aims to help students develop computer code on a scale commensurate with that of a complete software application. The volume of code involved naturally creates a need to structure the code so that it remains manageable, and the concepts related to code structuring will therefore be introduced or reinforced.
Instruction is thus organized primarily around practical exercises and projects. The context largely involves core topics of the EEA program: signal processing (data acquisition chain), instrument interfacing, and data transmission over the Internet via an embedded Linux platform. The topic of event-driven programming through the development of graphical user interfaces will also be covered. The programming languages used will be LabVIEW and Python. Students may choose to incorporate elements of C/C++ into their projects.
Logic Synthesis / VHDL
ECTS
3 credits
Training Structure
College of Sciences
- Controller overview.
- Robust synthesis and risk management.
- Representation and synthesis of synchronous machines.
- Description/synthesis language.
- The basics of the VHDL language (entities, architecture, etc.).
- Behavioral and structural descriptions.
- Simulation (Testbench).
- Reprogrammable circuits (SPLDs, CPLDs, FPGAs).
English
ECTS
2 credits
Training Structure
College of Sciences
A tutorial course in specialized English and communicative English designed to foster professional autonomy in the English language.
Project
ECTS
5 credits
Training Structure
College of Sciences
A project in partnership with a research laboratory and/or a company, highlighting the student’s scientific skills, independence, and adaptability.
Internship or Final Project
ECTS
10 credits
Training Structure
College of Sciences
The internship or final project should highlight the student’s scientific skills, independence, and adaptability:
- A 2- to 3-month internship (maximum 5 months) to be completed in a research laboratory or at a company;
- or a 3-month final project in a research laboratory or an educational project room.
Communication Techniques
ECTS
3 credits
Training Structure
College of Sciences
Description*:
1 - The goal is to help students understand the importance of a well-prepared application that matches an internship or job posting, or aligns with the activities of a professional organization in the case of an unsolicited application; to write resumes and cover letters; to gain a better understanding of their own personalities; to use new technologies (social media and job boards); and to tailor their job search to their career goals. Finally, to know how to prepare for and conduct themselves during job interviews.
2 - The goal is to enable students to write a scientific article following the completion of a project. To do so, they must understand the article’s objectives and characteristics, the outline to follow, the various stages of the writing process, and the formatting guidelines. Next, to present their project orally, students must understand and be able to apply the general structure of a presentation; select appropriate and relevant visual aids; follow the rules of oral communication to express themselves correctly and professionally (vocabulary, syntax, etc.); and adopt behaviors that energize their speech and help engage their audience.
Power Generation and Electrical Grid Modeling
ECTS
6 credits
Training Structure
College of Sciences
Electricity is one of the key energy carriers in energy management. It is becoming increasingly important in new applications that help reduce the carbon footprint—for example, in electric propulsion. Electricity is generated by high-capacity power plants (thermal power plants) but also, increasingly, by intermittent sources derived from renewable energy (solar, wind, etc.). This generated electricity must be transmitted and distributed, and the overall management of transmission and distribution networks poses a major challenge.
This course unit will:
- Provide theoretical knowledge of modeling the components of electricity generation, transmission, and distribution.
- Enables the definition of three-phase sinusoidal operation, the quality of electrical power, and the analysis of unbalanced networks using symmetrical components.
- Enable the modeling of transformers, inductive components (neutral-point coils, etc.), synchronous alternators, and asynchronous generators. It will provide experimental methods for characterizing these components.
- Provide the conditions for connecting generators to power grids, parallel operation, and the associated settings.
- This course will enable students to develop models for power distribution lines and cables. It will provide an introduction to power management and the impact of short circuits in high-power networks. Network simulation software will be used to illustrate these phenomena.
Renewable Energy - Smart Grids
ECTS
4 credits
Training Structure
College of Sciences
The energy transition is often associated with goals for deploying renewable energy generation sources (wind, solar, hydroelectric, etc.). The use of intermittent sources creates specific challenges for electricity transmission and distribution networks. This course will consist of three parts: a technological and theoretical section on power grids; a second section on power generation and renewable energy sources, with a focus on wind power; and finally, a third section on the digital evolution of power grids: smart grids.
This course unit will:
- Define the technology used in all components of a high- and low-voltage electrical distribution network.
- To provide the knowledge necessary to understand the functions and characteristics of electrical power systems (architectures, overhead and underground lines, voltage levels, power ratings, transformers, alternators, etc.) and
- Enable the selection and installation of equipment based on specific needs (insulation, protective devices, controls, etc.).
- Define electrical safety rules for work activities, thereby enabling workers to understand and follow lockout procedures.
- Enable students to determine, select, and set protection parameters based on the characteristics of the power system and equipment, by explaining how to calculate fault currents and the basic use of professional calculation software.
- Describe the selection of grounding schemes that meet specific technical specifications and economic criteria, as well as constraints related to availability, quality, and so on…
- To provide an overview of the current state of the art in electrical energy storage technologies and to present the use of hydrogen as an energy carrier in conjunction with electrical energy and the energy transition.
- Describe the means of production and explain the conversion principle for wind and hydroelectric power generation.
- Introduce methods for studying wind power projects, analyzing wind resources, understanding regulations, addressing grid connection issues, and assessing environmental impacts.
- Introduce smart grids and the use of the Internet and industrial networks in the protection and control of power grids.
Admission
Registration Procedures
Applications can be submitted through the following platforms:
- French and European students: Follow the “Mon Master” procedure on the website:https://www.monmaster.gouv.fr/
- International students from outside the EU: Follow the “Études en France” procedure:https://pastel.diplomatie.gouv.fr/etudesenfrance/dyn/public/authentification/login.html