COURSE SYLLABUS

NUMERICAL ELECTROMAGNETICS

1	Course Title:	NUMERICAL ELECTROMAGNETICS
2	Course Code:	EEM4224
3	Type of Course:	Optional
4	Level of Course:	First Cycle
5	Year of Study:	4
6	Semester:	8
7	ECTS Credits Allocated:	4
8	Theoretical (hour/week):	3
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	0
11	Prerequisites:	None
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Doç. Dr. ESİN KARPAT
16	Course Lecturers:
17	Contactinformation of the Course Coordinator:	Dr. Öğr. Üye. Esin KARPAT Mühendislik Fakültesi Elektrik-Elektronik Mühendisliği Bölümü Ofis:320 0.224.294 20 20
18	Website:
19	Objective of the Course:	The students will learn to solve Electromagnetic Field problems with essential numerical techniques like FD,FDTD and etc..
20	Contribution of the Course to Professional Development	Students gain the ability to solve complex electromagnetic problems that cannot be solved analytically, via numerical methods.

Learning Outcomes:

1	The students will learn the key tools, techniques and principles of computational approaches at electromagnetic theory ;
2	The students will gain the ability to analyze and solve electromagnetic problems by homeworks and attendance to the lectures.;
3	The students will learn the processes to construct original methods, to develop analytical cogitation and problem solving approximations and techniques. will understand the basis developing original and independent software processes related to computational electromagnetics. ;

22	Course Content:

Week	Theoretical	Practical
1	Introduction to contemporary problems in electromagnetic wave engineering and techniques in computational electromagnetics
2	Review of the Fundamentals of Electromagnetic Theory
3	Finite Difference Methods. Derivation of finite difference from Taylor series and cutting error.
4	Forward, Backward and Center difference formulas for first and second order derivatives
5	Solution of parabolic, hyperbolic and elliptic partial differential equations with finite difference
6	Application of finite differences to 1-D wave equations.
7	Numerical dispersion of 1-D scalar wave equation, numerical stability of 1-D scalar wave equation, simple 1-D scalar wave source and absorber boundary conditions
8	Maxwell equations, wave equations, Transverse Electric (TE) and Transverse magnetic (TM) polarization
9	Introduction to Yee's definitions of central difference in space and time in 1-D. Numerical dispersion of 1-D Yee algorithm, numerical stability of 1-D Yee algorithm
10	Introduction to Yee's definitions of central difference in space and time in 2-D. Numerical dispersion of 2-D Yee algorithm, numerical stability of 2-D Yee algorithm
11	Analytical theory of absorber boundary conditions (ABC) in 2-D, theory and numerical applications of Liao absorber boundary conditions (ABC), introduction to Berenger PML ABC.
12	Finite difference application examples
13	Finite difference application examples
14	Finite difference application examples

23	Textbooks, References and/or Other Materials:	Sevgi, L. Elektromanyetik Problemler ve Sayısal Yöntemler, Birsen Yayınevi, 1999. Matthew N.O. SADIKU ,"Numerical Techniques in Electromagnetics",CRC Press,2001. - F. B. Hildebrand, "Finite-Difference Equations and Simulations", Prentice-Hall, Inc., 1968. - M. K. Jain, "Numerical Solution of Differential Equations", Wiley-Eastern Limited, 1984. - Richard.C.BOOTON,"Computational Methodes for Electromagnetics and Microwaves",John Wıley and Sons,1992. - Dennis M.SULLİVAN,"Electromagnetic Simulation Using the FDTD Method", 2nd Edition,Wiley-IEEE Press,2013
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	20
Quiz	0	0
Homeworks, Performances	2	20
Final Exam	1	60
Total	4	100
Contribution of Term (Year) Learning Activities to Success Grade		40
Contribution of Final Exam to Success Grade		60
Total		100
Measurement and Evaluation Techniques Used in the Course	Midterm Exam, Homewark and Final Exam
Information

ECTS / WORK LOAD TABLE

CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High