ECTS - Computational Electromagnetics

Computational Electromagnetics (EE621) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Computational Electromagnetics EE621 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
The prerequisites for this course; Electromagnetics (EE 319), Differential Equations (MATH 276), and MATLAB and basic computer programming skills
Course Language English
Course Type Elective Courses
Course Level Ph.D.
Mode of Delivery
Learning and Teaching Strategies .
Course Coordinator
Course Lecturer(s)
  • Prof. Dr. Elif AYDIN
Course Assistants
Course Objectives Understanding of computational electromagnetics, including formulation and implementation of several specific methods anda enabling students to identify interesting and important research topics for Ph.D. work.
Course Learning Outcomes The students who succeeded in this course;
  • provide students with an overview of the state-of-the-art in applied computational electromagnetics, covering analytical, numerical, and asymptotic techniques for solving complex electromagnetic problems.
  • develop computational skills in applied electromagnetics and related disciplines and ability not only to effectively use electromagnetic software, but also to understand the foundations of various codes.
  • expose students to examples of real-world applications of modern computational tools in electromagnetic scattering, propagation, and radiation.
Course Content Finite difference time domain (FDTD), Finite Element (FE), geometric theory of diffraction (GTD) and method of moments (MoM) applied to antennas and scattering.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Review of Electromagnetic Theory
2 Analytical Techniques
3 Surface Integral-Equation Techniques and Method of Moments
4 Subsectional Basis Functions for MultiDimensional and Vector Problems.
5 Integral Equation Methods for Three-Dimensional Bodies
6 Analysis of Wire Antennas and Scatterers
7 Finite-Difference Techniques
9 Finite-Element Techniques
10 Finite-Element Techniques
11 High-Frequency Asymptotic Techniques
12 Hybrid Techniques
14 Selected applications (reviewing research papers)
15 Selected applications (reviewing research papers)
16 Selected applications (reviewing research papers)


Course Book 1. Jianming Jin, Theory and Computation of Electromagnetic Fields, Wiley, Dec. 2010.
2. F. Peterson, S. L. Ray, and R. Mittra, “Computational Methods for Electromagnetics” (IEEE Press, New York, 1998).
3. C. A. Balanis, Advanced Engineering Electromagnetics, Chapters 5 and 12, 2nd edition, John Wiley & Sons, 2012.
4. • R. F. Harrington, Field Computation by Moment Methods, Wiley-IEEE Press, 1993.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 5 25
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 50
Final Exam/Final Jury 1 25
Toplam 8 100
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Ability to apply knowledge on Mathematics, Science and Engineering to advanced systems. X
2 Implementing long-term research and development studies in the major fields of Electrical and Electronics Engineering. X
3 Ability to use modern engineering tools, techniques and facilities in design and other engineering applications. X
4 Graduating researchers active on innovation and entrepreneurship.
5 Ability to report and present research results effectively.
6 Increasing the performance on accessing information resources and on following recent developments in science and technology.
7 An understanding of professional and ethical responsibility.
8 Increasing the performance on effective communications in both Turkish and English.
9 Increasing the performance on project management.
10 Ability to work successfully at project teams in interdisciplinary fields.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Special Course Internship
Field Work
Study Hours Out of Class 16 3 48
Presentation/Seminar Prepration
Homework Assignments 6 4 24
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 2 4
Prepration of Final Exams/Final Jury 1 3 3
Total Workload 127