ACADEMICS
Course Details

ELE626 - Computational Methods in Electromagnetics

2022-2023 Fall term information
The course is not open this term
ELE626 - Computational Methods in Electromagnetics
Program Theoretýcal hours Practical hours Local credit ECTS credit
MS 3 0 3 8
Obligation : Elective
Prerequisite courses : -
Concurrent courses : -
Delivery modes : Face-to-Face
Learning and teaching strategies : Lecture, Question and Answer, Problem Solving
Course objective : - Understand the introductory concepts of the current computational electromagnetics methods. - Be able to formulate electromagnetic problems and to suggest a solution method. - Be able to use current electromagnetics softwares efficiently. - Have foundation to work on further aspects of the computational electromagnetics.
Learning outcomes : To understand the introductory concepts of the current computational electromagnetics methods. To be able to reduce encountered engineering problems to electromagnetic equations and to suggest a solution method. To develop skills and understanding to be able to use current EM softwares efficiently. To have foundation to work on special aspects of the computational electromagnetics.
Course content :
References : 1 )M.N.O. Sadiku, Numerical Techniques in Electromagnetics, CRC Press, 1992.; 2) Computational Methods for Electromagnetics, A.F. Peterson, S.L. Scott, R. Mittra, IEEE Press, 1998.; 3) R.F. Harrington, Field Computation by Moment Methods, MacMillan, 1968.; 4) S.M. Rao, Time Domain Electromagnetics, Academic Press, 1999. ; 5) P.Zhou, Numerical Analysis of Electromagnetic Fields, Fall/ Springer-Verlag, 1993.
Course Outline Weekly
Weeks Topics
1 Introduction.
2 Classification of EM problems
3 Method of Moments: Theory
4 Method of Moments. Applications to electrostatics
5 Method of Moments:Two dimensional scattering problemsRadiation and scattering form wire structures
6 Method of Moments:Radiation and scattering form wire structures.Current research topics.
7 Time Domain Integral Equation Methods:Wire Structures
8 Time Domain Integral Equation Methods:Wire Structures. Two and three dimensional problems
9 Midterm Exam
10 Finite Difference Method: Theory
11 Finite Difference Method: Treatment of Boundaries Analysis of TEM structures
12 Finite Difference Time Domain Method
13 Finite Elements Method: Theory, Elements and shape functions
14 Finite Elements Method: Applications
15 Final Exam
16 Final Exam
Assessment Methods
Course activities Number Percentage
Attendance 0 0
Laboratory 0 0
Application 0 0
Field activities 0 0
Specific practical training 0 0
Assignments 5 30
Presentation 0 0
Project 0 0
Seminar 0 0
Quiz 0 0
Midterms 1 30
Final exam 1 40
Total 100
Percentage of semester activities contributing grade success 60
Percentage of final exam contributing grade success 40
Total 100
Workload and ECTS Calculation
Course activities Number Duration (hours) Total workload
Course Duration 14 3 42
Laboratory 0 0 0
Application 0 0 0
Specific practical training 0 0 0
Field activities 0 0 0
Study Hours Out of Class (Preliminary work, reinforcement, etc.) 14 6 84
Presentation / Seminar Preparation 0 0 0
Project 0 0 0
Homework assignment 5 16 80
Quiz 0 0 0
Midterms (Study duration) 1 16 16
Final Exam (Study duration) 1 18 18
Total workload 35 59 240
Matrix Of The Course Learning Outcomes Versus Program Outcomes
Key learning outcomes Contribution level
1 2 3 4 5
1. Has general and detailed knowledge in certain areas of Electrical and Electronics Engineering in addition to the required fundamental knowledge.
2. Solves complex engineering problems which require high level of analysis and synthesis skills using theoretical and experimental knowledge in mathematics, sciences and Electrical and Electronics Engineering.
3. Follows and interprets scientific literature and uses them efficiently for the solution of engineering problems.
4. Designs and runs research projects, analyzes and interprets the results.
5. Designs, plans, and manages high level research projects; leads multidiciplinary projects.
6. Produces novel solutions for problems.
7. Can analyze and interpret complex or missing data and use this skill in multidiciplinary projects.
8. Follows technological developments, improves him/herself , easily adapts to new conditions.
9. Is aware of ethical, social and environmental impacts of his/her work.
10. Can present his/her ideas and works in written and oral form effectively; uses English effectively.
1: Lowest, 2: Low, 3: Average, 4: High, 5: Highest
General Information | Course & Exam Schedules | Real-time Course & Classroom Status
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