DN2274 Computational Electromagnetics 7.5 credits
This course has been discontinued.
Last planned examination: Spring 2015
Decision to discontinue this course:
No information inserted
An introduction to numerical methods for mathematical models for electromagnetics, in particular wave-problems.
Content and learning outcomes
Course contents
The Maxwell equations.
Time-domain methods: finite differences and finite elements.
Frequency-domain methods: The method of moments, finite elements.
High frequency methods: Geometrical optics, diffraction and multipole methods. Areas of application.
Intended learning outcomes
The aim of the course is to give the students knowledge of numerical solution of electromagnetic wave problems, relevant mathematical theory, and some insight into industrial application domains, as well as pros and cons of different formulations and software approaches.
After successful completion of course requirements, the students will be able to
- understand limitations of and independently apply standard methods for electromagnetic wave propagation;
- contribute to development of new methods and software for finite difference and finite element differential equation models as well as integral equation models for frequency domain models:
- use commercial application software with insight into fundamental properties and limitations
- be educated novices in application of techniques for high-frequency Asymptotics.
Course disposition
Literature and preparations
Specific prerequisites
Recommended prerequisites
One of the courses DN2221 Applied Numerical Methods, part 1, DN2222 Applied Numerical Methods, part 2 or DN2266 Mathematical Models, Analysis and Simulation, part 1.
Equipment
Literature
Material from A Taflove: Computational electrodynamics, Artec House, A. Peterson, S. Ray, R. Mittra: Computational methods for electromagnetics, IEEE Press and lecture notes available at the department.
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 Work, 4.5 credits, grading scale: A, B, C, D, E, FX, F
- TEN1 - Examination, 3.0 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.
In this course all the regulations of the code of honor at the School of Computer science and Communication apply, see: http://www.kth.se/csc/student/hederskodex/1.17237?l=en_UK.
Other requirements for final grade
Examination (TEN1; 3 university credits).
Problem solving assignments (LAB1; 4,5 university credits).
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 DN2274Offered by
Main field of study
Education cycle
Add-on studies
Reading courses specializing in finite differences in the time-domain, the method of moments or high frequency methods are possible.
Contact
Supplementary information
The course is not given every year.