ELE626 - COMPUTATIONAL METHODS IN ELECTROMAGNETICS

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
COMPUTATIONAL METHODS IN ELECTROMAGNETICS ELE626 Any Semester/Year 3 0 3 8
PrequisitesNone
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Question and Answer
Problem Solving
 
Instructor (s)Department Faculty 
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
  1. To understand the introductory concepts of the current computational electromagnetics methods.
  2. To be able to reduce encountered engineering problems to electromagnetic equations and to suggest a solution method.
  3. To develop skills and understanding to be able to use current EM softwares efficiently.
  4. To have foundation to work on special aspects of the computational electromagnetics.
Course Content路 Introduction路 Classification of EM problems路 Quick review of linear algebra concepts路 Method of Moments 路 Theory 路 Applications to electrostatics 路 Two dimensional scattering problems 路 Radiation and scattering form wire structures 路 Current research topics路 Time Domain Integral Equation Methods 路 Wire Structures 路 Two and three dimensional problems路 Finite Difference Method 路 Theory 路 Treatment of Boundaries 路 Analysis of TEM structures 路 Finite Difference Time Domain Method 路 Current research topics路 Finite Elements Method 路 Theory, Elements and shape functions 路 Applications 
References1 )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

WeeksTopics
Week 1Introduction.
Week 2Classification of EM problems
Week 3Method of Moments: Theory
Week 4Method of Moments. Applications to electrostatics
Week 5Method of Moments:Two dimensional scattering problemsRadiation and scattering form wire structures
Week 6Method of Moments:Radiation and scattering form wire structures.Current research topics.
Week 7Time Domain Integral Equation Methods:Wire Structures
Week 8Time Domain Integral Equation Methods:Wire Structures. Two and three dimensional problems
Week 9Midterm Exam
Week 10Finite Difference Method: Theory
Week 11Finite Difference Method: Treatment of Boundaries Analysis of TEM structures
Week 12Finite Difference Time Domain Method
Week 13Finite Elements Method: Theory, Elements and shape functions
Week 14Finite Elements Method: Applications
Week 15Final Exam
Week 16Final Exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments530
Presentation00
Project00
Seminar00
Midterms130
Final exam140
Total100
Percentage of semester activities contributing grade succes060
Percentage of final exam contributing grade succes040
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14684
Presentation / Seminar Preparation000
Project000
Homework assignment51680
Midterms (Study duration)11616
Final Exam (Study duration) 11818
Total Workload3559240

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Has general and detailed knowledge in certain areas of Electrical and Electronics Engineering in addition to the required fundamental knowledge.    X
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.    X
3. Follows and interprets scientific literature and uses them efficiently for the solution of engineering problems. X   
4. Designs and runs research projects, analyzes and interprets the results.X    
5. Designs, plans, and manages high level research projects; leads multidiciplinary projects.  X  
6. Produces novel solutions for problems. X   
7. Can analyze and interpret complex or missing data and use this skill in multidiciplinary projects. X   
8. Follows technological developments, improves him/herself , easily adapts to new conditions.   X  
9. Is aware of ethical, social and environmental impacts of his/her work.X    
10. Can present his/her ideas and works in written and oral form effectively; uses English effectively  X  

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest