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FDD3270 Computational Methods for Electromagnetics 7.5 credits

Administer About course

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.

Choose semester and course offering

Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.

Application

For course offering

Autumn 2023 Start 30 Oct 2023 programme students

Application code

51554

Headings with content from the Course syllabus FDD3270 (Autumn 2021–) are denoted with an asterisk ( )

Content and learning outcomes

Course disposition

  • 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.

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

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.

Literature and preparations

Specific prerequisites

No information inserted

Recommended prerequisites

Basic knowledge of Matlab and Python programming

Equipment

A laptop or a workstation is necessary to complete the assignments and the final project.

Literature

The recommended textbook is "Computational Electromagnetics" by T. Rylander. P. Ingelström and Anders Bondeson. The book is available online in KTH electronic library.

Examination and completion

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

Grading scale

P, F

Examination

  • EXA1 - Written examination, 7.5 credits, grading scale: P, 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 order to pass the course, the student must pass three assignments, one final course adavanced project (report and presentation) and the presentation of an article on the field.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Profile picture Stefano Markidis

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

EECS/Computational Science and Technology

Main field of study

This course does not belong to any Main field of study.

Education cycle

Third cycle

Add-on studies

No information inserted

Contact

Stefano Markidis (markidis@kth.se)

Postgraduate course

Postgraduate courses at EECS/Computational Science and Technology