DD2370 Computational Methods for Electromagnetics 7.5 credits

The aim of the course is to give the students knowledge of numerical approaches to solve electromagnetics problems, relevant mathematical theory, and some insight into industrial application domains, as well as pros and cons of different formulations and commercial software approaches.
After successful completion of course requirements, the students will be able to
- solve numerically electromagnetics problems to study wave propagation, transmission lines and antennas
- develop and implement numerical methods and software for finite difference and finite element differential equation models as well as integral equation models
- describe and list the advantages and limitations of different numerical techniques- use commercial software to identify its limitations.
The course covers:
- Maxwell Equations and fundamental concepts in electromagnetics.
- Numerical methods based on finite difference and finite element methods and on method of moments.
- Theory of convergence, stability and error analysis.
- Programming codes for solving electromagnetics problems
- Commercial software for solving electromagnetics problems
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Content and learning outcomes
Course contents
Maxwell's equations and basic concepts in electromagnetics.
Numerical methods based on discretisation with finite differences and finite elements as well as the method of moments.
Theory of convergence, stability and error analysis.
Development of software for electromagnetic problems.
Commercial software for electromagnetic problems.
Intended learning outcomes
On completion of the course, the students should be able to
• independently apply established methods for the solution of electromagnetic problems
• develop and implement numerical methods and software for differential models with finite differences and finite elements as well as integral equation models
• account for the advantages and the limitations with different numerical technologies
• use available commercial software and with consideration to basic properties and limitations of it.
Course disposition
Literature and preparations
Specific prerequisites
Recommended prerequisites
Basic knowledge of Matlab programming
Equipment
Literature
The recommended textbook is "Computational Electromagnetics" by T. Rylander. P. Ingelström and Anders Bondeson. The book is available online in KTHs electronic library.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
- LAB1 - Laboratory, 1.0 credits, grading scale: P, F
- LAB2 - Laboratory, 1.0 credits, grading scale: P, F
- LAB3 - Laboratory, 1.0 credits, grading scale: P, F
- LAB4 - Laboratory, 1.0 credits, grading scale: P, F
- TEN1 - Exam, 3.5 credits, grading scale: A, B, C, D, E, FX, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course web
Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.
Course web DD2370Offered by
Main field of study
Education cycle
Add-on studies
Contact
Supplementary information
In this course, the EECS code of honor applies, see:
http://www.kth.se/en/eecs/utbildning/hederskodex