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EI2403 Electromagnetic modelling 8.0 credits

Administer About course

This course introduces the student to numerical modelling of electromagnetic problems. The methods discussed in this course are relevant and are used by industry and academia for research and development.

Information per 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.

Termin

Information for Autumn 2025 TEFRM programme students

Course location

KTH Campus

Duration
27 Oct 2025 - 12 Jan 2026
Periods
P2 (8.0 hp)
Pace of study

50%

Application code

51395

Form of study

Normal Daytime

Language of instruction

English

Course memo
Course memo is not published
Number of places

Min: 6

Target group

Compulsory for the Master's Programme, Electromagnetics, Fusion and Space Engineering, (TEFRM).
Conditionally elective for the Master (Two Years), Electric Power Engineering (TELPM).
Open for all master programs at KTH as long as it can be included in your program.

Planned modular schedule
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Schedule
Schedule is not published

Contact

Examiner
No information inserted
Course coordinator
No information inserted
Teachers
No information inserted

Course syllabus as PDF

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

Course syllabus EI2403 (Autumn 2024–)
Headings with content from the Course syllabus EI2403 (Autumn 2024–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

This course introduces the student to the fundamentals of numerical modelling of electromagnetic problems. The methods introduced are relevant and are used daily in industry and academia for research and development. We deal with

  • numerical methods (FEM, FDTD, etc.) for solving electromagnetic problems
  • development of own simulation tool for a specific problem
  • use of commercial simulation tools for solving general and advanced problems.

Intended learning outcomes

After passing the course, the student should be able to

  • describe the differences between different numerical methods and determine which methods are suitable for a given problem
  • set up a mathematical model for simpler electromagnetic problems
  • use simulation tools (COMSOL, CST, Matlab, etc.) to solve electromagnetic problems
  • analyse the results of modelling problems based on self-written code and commercial simulation tools
  • evaluate the uncertainty in simulation result based on the model and the method.

Literature and preparations

Specific prerequisites

Knowledge in electromagnetic field theory, 9 higher education credits, equivalent completed course EI1320 or both courses EI1220 and EI1222.

Knowledge in plasma physics, 7.5 higher education credits, equivalent completed course EF2200.

Active participation in a course offering where the final examination is not yet reported in LADOK is considered equivalent to completion of the course. Being registered for a course counts as active participation. The term 'final examination' encompasses both the regular examination and the first re-examination.

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

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

  • INL1 - Hand-in assignments, 6.0 credits, grading scale: A, B, C, D, E, FX, F
  • TEN1 - Written exam, 2.0 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.

Examiner

Profile picture Oscar Quevedo Teruel

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/Electrical Engineering

Main field of study

Electrical Engineering

Education cycle

Second cycle