Computational Electromagnetics Training

Commitment 2 Days, 7-8 hours a day.
Language English
User Ratings Average User Rating 4.8 See what learners said
Delivery Options Instructor-Led Onsite, Online, and Classroom Live


Computational Electromagnetics Training teaches the basics of CEM with application examples. Fundamental concepts in the solution of EM radiation and scattering problems are presented. Emphasis is on applying computational methods to practical applications. You will develop a working knowledge of popular methods such as the FEM, MOM, FDTD, FIT, and TLM including asymptotic and hybrid methods. Students will then be able to identify the most relevant CEM method for various applications, avoid common user pitfalls, understand model validation, and correctly interpret results. Students are encouraged to bring their laptops to work examples using the provided FEKO Lite code. With the Computational Electromagnetics course, you will learn the importance of model development and meshing, post-processing for scientific visualization, and presentation of results.

  • 2 days of Computational Electromagnetics Training with an expert instructor
  • Computational Electromagnetics Electronic Course Guide
  • Certificate of Completion
  • 100% Satisfaction Guarantee



Upon completing this Computational Electromagnetics Training course, learners will be able to meet these objectives:

  • A review of electromagnetics and antennas with modern applications.
  • An overview of popular CEM methods with commercial codes as examples
  • Hands-on experience with FEKO Lite to demonstrate modeling guidelines and common pitfalls.
  • An understanding of the latest developments in CEM methods and High-Performance Computing.
  • We can adapt this Computational Electromagnetics Training course to your group’s background and work requirements at little to no added cost.
  • If you are familiar with some aspects of this Computational Electromagnetics course, we can omit or shorten their discussion.
  • We can adjust the emphasis placed on the various topics or build the Computational Electromagnetics course around the mix of technologies of interest to you (including technologies other than those included in this outline).
  • If your background is nontechnical, we can exclude the more technical topics, include the topics that may be of special interest to you (e.g., as a manager or policy-maker), and present the Computational Electromagnetics course in a manner understandable to lay audiences.

The target audience for this Computational Electromagnetics course:

  • All

The knowledge and skills that a learner must have before attending this Computational Electromagnetics Training course are:

  • N/A


  1. Maxwell’s Equations. Surface Equivalence Principle, Duality and Huygens Principle.
  2. Basic Concepts in Antenna Theory. Gain/Directivity, apertures, reciprocity.
  3. Basic Concepts in Scattering Theory. Radar cross-section frequency dependence.
  4. Antenna Systems. Various antenna types, array antennas, periodic structures, electromagnetic symmetry, and beam steering.
  5. Overview of Computational Methods in Electromagnetics. Introduction to frequency and time domain methods. Compare and contrast differential/ volume and surface/integral methods with popular commercial codes as examples (adjusted to class interests).
  6. Finite Element Method Tutorial. Mathematical basis and algorithms with application to electromagnetics (adjusted to class mathematical background). Orbital debris.
  7. Computational Electromagnetics Training – Method of Moments Tutorial. Mathematical basis and algorithms (adjusted to class mathematical background). Implementation and examples using FEKO Lite.
  8. Finite Difference Time Domain Tutorial. Mathematical basis and algorithm implementations (adjusted to class mathematical background). Computational Electromagnetics Training
  9. Transmission Line Matrix Method. Overview and algorithms.
  10. Finite Integration Technique. Overview.
  11. Asymptotic Methods. Scattering mechanisms and high-frequency approximations.
  12. Hybrid Methods. Overview and FEKO examples.
  13. High-Performance Computing. Overview of parallel methods and examples.
  14. Summary. With an emphasis on practical applications and intelligent decision-making.
  15. Questions and FEKO examples. Adjusted to class problems of interest.
Computational Electromagnetics TrainingComputational Electromagnetics Training Course Recap, Q/A, and Evaluations


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