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DN2274 Computational Electromagnetics 7.5 credits

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Information per course offering

Course offerings are missing for current or upcoming semesters.

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus DN2274 (Autumn 2009–)
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.

Literature and preparations

Specific prerequisites

No information inserted

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

Grading scale

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

Examination

  • TEN1 - Examination, 3.0 credits, grading scale: A, B, C, D, E, FX, F
  • LAB1 - Laboratory Work, 4.5 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.

If the course is discontinued, students may request to be examined during the following two academic years.

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).

Examiner

No information inserted

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 room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

SCI/Mathematics

Main field of study

Mathematics

Education cycle

Second cycle

Supplementary information

The course is not given every year.