26h Th, 26h Pr
Number of credits
|Master of Science (MSc) in Biomedical Engineering||5 crédits|
|Master of Science (MSc) in Electrical Engineering||5 crédits|
|Master of Science (MSc) in Electromechanical Engineering||5 crédits|
|Master of Science (MSc) in Engineering Physics||5 crédits|
Language(s) of instruction
Organisation and examination
Teaching in the second semester
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
Description of the course:
This course presents modern numerical techniques for the modeling and simulation of electromagnetic phenomena, as well as the basic design rules used in designing electromagnetic systems.
Table of contents: The first part of the course is devoted to the study of finite element techniques for electromagnetics, as well as basic rules for the design of electromagnetic devices. Electrostatic, magnetostatic, electrokinetic, magnetodynamic and wave propagagtion models are presented. Different formulations and regimes are considered, as well as various couplings (thermal, mecanical, electrical and electronic circuits). The course is focused both on the mathematical foundations of the studied methods and models, and on their practical software implementation.
The second part is devoted to the study of specific topics or applications through individual and group projets. Applications covered during the last few years include: break down prevention in high-voltage room, magnetic field produced by underground cables, electric car motor, micro-satellite antenna, rocket electric valve, high-concentration solar cell, passive satellite attitude control, induced currents in the human body, capacity of depleted semiconductor, design of a microcoil, induction heating, direct EEG problem, magnetron model, scattering by micro mirrors, etc.
Learning outcomes of the learning unit
At the end of the course the student will have a general understanding of design, modeling and simulation techniques in electromagnetism, and will be able to simulate the behaviour of an electromagnetic device with finite elements using the open source software Gmsh and GetDP.
Prerequisite knowledge and skills
Course in mathematical analysis and course in numerical analysis.
Planned learning activities and teaching methods
Theory lectures, practical computer sessions, individual and group projects.
The number of projects varies from year to year, but is typically 3 or 4. The first projet is usually assigned early in the quadrimester, e.g. during the second or third week. The deadline for the last project usually coincides with the end of the quadrimester.
Mode of delivery (face to face, distance learning, hybrid learning)
Organisational adjustments related to the current health context
Recommended or required readings
Cf. the course web site.
Assessment methods and criteria
Below you will find information on the evaluation methods planned for in-person and remote exams as well as those planned for hybrid sessions. Depending on how the health crisis evolves, the chosen method will be communicated to you no later than one month before the start of the exam session.
Written project reports.
Prof. C. Geuzaine (email@example.com)