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DN2274 Computational Electromagnetics 7.5 credits

An introduction to numerical methods for mathematical models for electromagnetics, in particular wave-problems.

Course offering missing for current semester as well as for previous and coming semesters
Headings with content from the Course syllabus DN2274 (Autumn 2009–) are denoted with an asterisk ( )

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

No information inserted

Literature and preparations

Specific prerequisites

No information inserted

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.


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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

A, B, C, D, E, FX, F


  • 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:

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

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Opportunity to raise an approved grade via renewed examination

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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 DN2274

Offered by

Main field of study


Education cycle

Second cycle

Add-on studies

Reading courses specializing in finite differences in the time-domain, the method of moments or high frequency methods are possible.


Jesper Oppelstrup, tel: 790 6228, e-post:

Supplementary information

The course is not given every year.