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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.

Application

For course offering

Autumn 2024 compelec24 programme students

Application code

50286

Headings with content from the Course syllabus DD2370 (Autumn 2024–) 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.

Literature and preparations

Specific prerequisites

  • Knowledge and skills in programming, 6 credits, equivalent to completed course DD1337/DD1310-DD1319/DD1321/DD1331/ DD100N/ID1018.
  • Knowledge in linear algebra, 7,5 credits, equivalent to completed course SF1624/SF1672/SF1684.
  • Knowledge in Calculus in One Variable, 7,5 credits, equivalent to completed course SF1625/SF1673.
  • Knowledge in Calculus in Several Variables, 7,5 credits, equivalent to completed course SF1626/SF1674.

Recommended prerequisites

Basic knowledge of Matlab programming 

Equipment

No information inserted

Literature

No information inserted

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
  • PRO1 - Project assignment, 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

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/Computer Science

Main field of study

Computer Science and Engineering

Education cycle

Second cycle

Add-on studies

No information inserted

Contact

Stefano Markidis markidis@kth.se

Transitional regulations

TEN1 is replaced by PRO1. 

Supplementary information

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