Study programme 2020-2021Français
Computational Electromagnetics
Programme component of Master's in Electrical Engineering : Specialist Focus on Electrical Energy and Smart Grids à la Faculty of Engineering

Students are asked to consult the ECTS course descriptions for each learning activity (AA) to know what special Covid-19 assessment methods are possibly planned for the end of Q3

CodeTypeHead of UE Department’s
contact details
Teacher(s)
UI-M2-IRELEE-002-MCompulsory UELOBRY JacquesF901 - Physique Générale
  • DEBLECKER Olivier
  • LOBRY Jacques

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Anglais
Anglais, Français222600044.001st term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
I-GELE-012Computational Electromagnetics2226000Q1100.00%
Programme component

Objectives of Programme's Learning Outcomes

  • Communicate and exchange information in a structured way - orally, graphically and in writing, in French and in one or more other languages - scientifically, culturally, technically and interpersonally, by adapting to the intended purpose and the relevant public.
    • Argue to and persuade collaborators, clients, teachers and boards, both orally and in writing.
  • Imagine, implement and operate systems/solutions/software to address a complex problem in the field of electrical engineering as an essential source of energy in modern society by integrating needs, contexts and issues (technical, economic, societal, ethical and environmental).
    • Based on modelling and experimentation, design one or more systems/solutions/software addressing the problem raised; evaluate them in light of various parameters of the specifications.
    • Implement a chosen system/solution/software in the form of a drawing, a schema, a plan, a model, a prototype, software and/or digital model.
  • Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out electrical engineering missions, with a focus on electrical power engineering, using their expertise and adaptability.
    • Master and appropriately mobilise knowledge, models, methods and techniques related to the basics of electricity, electronics, automatic control, signal processing and analysis, telecommunications, electrotechnical engineering (electrical machines, power electronics), engineering of electricity grids (generation, transmission and distribution), the development of renewable energy sources (wind, photovoltaic), the development, implementation and environmentally-friendly use of electrical systems, and specific techniques for the numerical modelling of power devices.
    • Analyse and model a problem by critically selecting theories and methodological approaches (modelling, calculations), and taking into account multidisciplinary aspects.
    • Assess the validity of models and results in view of the state of science and characteristics of the problem.
  • Plan, manage and lead projects in view of their objectives, resources and constraints, ensuring the quality of activities and deliverables.
    • Define and align the project in view of its objectives, resources and constraints.
    • Assess the approach and achievements, regulate them in view of the observations and feedback received.
    • Respect deadlines and timescales
  • Communicate and exchange information in a structured way - orally, graphically and in writing, in French and in one or more other languages - scientifically, culturally, technically and interpersonally, by adapting to the intended purpose and the relevant public.
    • Argue to and persuade collaborators, clients, teachers and boards, both orally and in writing.

Learning Outcomes of UE

Having skills in computational electromagnetic for electrotechnical problems: mathematical modelling, numerical schemes, choose the right geometry and boundary conditions ; having a good physical understanding of the problem and assess a first solution by hand.

Content of UE

Review of the concepts of 2-D and 3-D scalar and vector fields, operators, and partial differential equations (PDE). Maxwell equations and classical formulations of static and transient fields. Particular case of A-V formulation for 3-D eddy current and magnetostaitc problems, and in-depth treatment of the 2-D case. Local and global quantities. Basic numerical techniques for the solution of PDEs: finite differences, finite elements, method of moments and boundary element method. Solution methods for systems of linear equations.

Prior Experience

Electromagnetism, Maxwell equations, electrical machines, general numerical analysis.

Type of Assessment for UE in Q1

  • Presentation and/or works
  • Written examination

Q1 UE Assessment Comments

Project : design of a magnetic device Written exam : demonstrating that the student masters the subject on a given problem: mathematical modelling, numerical schemes, choosing the right geometry and boundary conditions, having a good physical understanding of the problem and assessing a first solution by hand.

Weighting :
Project (20h): 30%, Exam (3h): 70%.

Type of Assessment for UE in Q3

  • Written examination

Q3 UE Assessment Comments

Weighting :
Project (20h): 30%, Exam (3h): 70%.

Type of Resit Assessment for UE in Q1 (BAB1)

  • N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
I-GELE-012
  • Cours magistraux
  • Exercices dirigés
  • Utilisation de logiciels
  • Ateliers et projets encadrés au sein de l'établissement

Mode of delivery

AAMode of delivery
I-GELE-012
  • Face to face

Required Reading

AA
I-GELE-012

Required Learning Resources/Tools

AARequired Learning Resources/Tools
I-GELE-012Not applicable

Recommended Reading

AA
I-GELE-012

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
I-GELE-012Not applicable

Other Recommended Reading

AAOther Recommended Reading
I-GELE-012P.P. Silvester. R.L. Ferrari, Finite Elements for Electrical Engineers, Cambridge University Press, 1996.
M.V.K. Chari, S.J. Salon, Numerical Methods in Electromagnetism, Academic Press, 2000.
The Finite Element Method for Electromagnetic Modelling, Ed. G. Meunier, ISTE, 2008.
M.N.O. Sadiku, Numerical Techniques in Electromagnetics with Matlab®, CRC Press, 2009.
T. Rylander, P. Ingelström, A. Bondeson, Computational Electromagnetics, Springer, 2013.
A. Quarteroni, Numerical Models for Differential Problems, Springer, 2017
G. Allaire, Numerical analysis and optimization, Oxford University Press, 2007
H. Elman, D. Silvester, A. Wathen, Finite Elements and Fast Iterative Solvers - With Applications in Incompressible Fluid Dynamics, Oxford University Press, 2014
C.A. Brebbia, J. Dominguez, Boundary elements - An introductory course, WIT Press, 1992
W. Ford, Numerical Linear Algebra with Applications Using MATLAB®, Academic Press, 2015.

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
I-GELE-012Authorized
(*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term
Date de génération : 09/07/2021
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