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About course

DD2370 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.

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

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.

Headings with content from the Course syllabus DD2370 (Spring 2019–) are denoted with an asterisk ( )

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

No information inserted

Literature and preparations

Specific prerequisites

No information inserted

Recommended prerequisites

Basic knowledge of Matlab programming 

Equipment

No information inserted

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

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

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

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

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 DD2370

Offered by

Main field of study

Computer Science and Engineering

Education cycle

Second cycle

Add-on studies

No information inserted

Contact

Stefano Markidis markidis@kth.se

Supplementary information

In this course, the EECS code of honor applies, see:
http://www.kth.se/en/eecs/utbildning/hederskodex