EE690 Computational Electromagnetics

There has been a noticeable increase of interest in computational electromagnetics (CEM), also known as numerical electromagnetics. In spite of available powerful computational tools, there is a need to learn the fundamental analytical and numerical concepts behind the codes. It is beneficial to understand the inherent limitations of the software. The course will provide studets with a working knowledge in the fundamental mathematical and physical basis of CEM. By the end of the course, students should be able to know how to do build CEM models of physical problems, develop critical thinking in interpreting results from CEM analysis, and identify incorrect results.  Moreover, validate experimental results against numerical modeling.

Learning Objectives

  • Develop working knowledge in the fundamental mathematical and physical basis of CEM.
  • Know how to do build CEM models of physical problems.
  • Develop and exercise critical thinking in interpreting results from CEM analysis.
  • Be able to develop a complete CEM solution strategy for analysis of different systems.

Topics

  • Fundamental Concepts
  • Analytical Methods
  • Finite Difference Methods
  • Variational Methods
  • Moment Methods
  • Finite Element Method
  • Transmission-Line-Matrix Method
  • Monte Carlo Methods
  • Method of Lines

Textbooks

  • Sadiku, Matthew N. O., Computational electromagnetics with MATLAB, 4th Edition, CRC Press, 2018
  • Sadiku, Matthew N. O. and Nelatury, Sudarshan R, Analytical Techniques in Electromagnetics, CRC Press, 2015
  • Balanis, Constantine A, Advanced engineering electromagnetics, 2nd Edition, John Wiley and Sons, 2012
Last Update
8/1/2021 9:30:35 AM