EEE 525 | Course Introduction and Application Information - M.SC. in Electrical and Electronics Engineering (With Thesis)

Course Name

Computational Electromagnetism

Code	Semester	Theory (hour/week)	Application/Lab (hour/week)	Local Credits	ECTS
EEE 525	Fall/Spring	3	0	3	7.5

Prerequisites	None
Course Language	English
Course Type	Elective
Course Level	Second Cycle
Mode of Delivery	-
Teaching Methods and Techniques of the Course	-
National Occupation Classification	-
Course Coordinator	-
Course Lecturer(s)	Doç. Dr. Diaa GADELMAVLA
Assistant(s)	-

Course Objectives

This course covers topics such as the Maxwellequations, time-domain methods: finite differences and finite elements, frequency-domain methods: The method of moments, finite elements, high frequency methods: Geometrical optics, diffraction and multipole methods. Areas of application

Learning Outcomes

#	Content	PC Sub	* Contribution Level
#	Content	PC Sub	1	2	3	4	5
1	Understand limitations of and independently apply standard methods for electromagnetic wave propagation;
2	Use commercial application software within sight into fundamental properties and limitations
3	contribute to development of new methods and MatLab software for finite difference and finite element differential equation models as well as integral equation models for frequency domain models
4	Be educated novices in application of techniques for high-frequency Asymptotics.

Course Description

The Maxwell equations, time-domain methods: finite differences and finite elements, frequency-domain methods: The method of moments, finite elements, high frequency methods: Geometrical optics, diffraction and multipole methods. Areas of application.

Course Category	Core Courses
	Major Area Courses	X
	Supportive Courses
	Media and Management Skills Courses
	Transferable Skill Courses

Week	Subjects	Related Preparation	Learning Outcome
1	Introduction, review of electromagnetictheory, classification of EM Problems, someImportantTheorems	NumericalTechniques in Electromagneticswith MATLAB 3rd Edition , Matthew N.O. Sadiku, 2009 (Ch1)
2	AnalyticalMethods: Introduction, Separation of Variables, Separation of Variables in RectangularCoordinates, Separation of Variables in CylindricalCoordinates, Separation of Variables in SphericalCoordinates	NumericalTechniques in Electromagneticswith MATLAB 3rd Edition , Matthew N.O. Sadiku, 2009 (Ch2)
3	SomeUsefulOrthogonalFunctions, Series Expansion, Practical Applications, AttenuationDuetoRaindrops	NumericalTechniques in Electromagneticswith MATLAB 3rd Edition , Matthew N.O. Sadiku, 2009 (Ch2)
4	FiniteDifferenceMethods: Introduction, FiniteDifferenceSchemes, FiniteDifferencing of ParabolicPDEs, FiniteDifferencing of HyperbolicPDEs, FiniteDifferencing of EllipticPDEs, AccuracyandStability of FD Solutions	NumericalTechniques in Electromagneticswith MATLAB 3rd Edition , Matthew N.O. Sadiku, 2009 (Ch3)
5	Practical Applications I — GuidedStructures, Practical Applications II — WaveScattering (FDTD), AbsorbingBoundaryConditionsfor FDTD, FiniteDifferencingforNonrectangularSystems, Numerical Integration, ConcludingRemarks	NumericalTechniques in Electromagneticswith MATLAB 3rd Edition , Matthew N.O. Sadiku, 2009 (Ch3)
6	VariationalMethods: Introduction, Operators in LinearSpaces, Calculus of Variations, Construction of FunctionalsfromPDEs	NumericalTechniques in Electromagneticswith MATLAB 3rd Edition , Matthew N.O. Sadiku, 2009 (Ch4)
7	Rayleigh–RitzMethod, WeightedResidualMethod, EigenvalueProblems, Practical Applications	NumericalTechniques in Electromagneticswith MATLAB 3rd Edition , Matthew N.O. Sadiku, 2009 (Ch4)
8	Moment Methods: Introduction, IntegralEquations, Green’sFunctions, Applications I — Quasi-StaticProblems Applications II — Scattering, Problems Applications III— Radiation, Problems Applications IV — EM Absorption in the Human Body	NumericalTechniques in Electromagneticswith MATLAB 3rd Edition , Matthew N.O. Sadiku, 2009 (Ch5)
9	Finite Element Method:Introduction, Solution of Laplace’sEquation, Solution of Poisson’sEquation, Solution of theWaveEquation	NumericalTechniques in Electromagneticswith MATLAB 3rd Edition , Matthew N.O. Sadiku, 2009 (Ch6)
10	Automatic Mesh Generation I — RectangularDomains, Automatic Mesh Generation II — ArbitraryDomains, BandwidthReduction, HigherOrderElements, Three-DimensionalElements, Finite Element MethodsforExteriorProblems, Finite-Element Time-Domain Method	NumericalTechniques in Electromagneticswith MATLAB 3rd Edition , Matthew N.O. Sadiku, 2009 (Ch6)
11	Transmission-line-matrixMethod:Introduction, transmission-lineEquations, Solution of DiffusionEquation, Solution of WaveEquation	NumericalTechniques in Electromagneticswith MATLAB 3rd Edition , Matthew N.O. Sadiku, 2009 (Ch7)
12	InhomogeneousandLossy Media in TLM, Three-Dimensional TLM Mesh, ErrorSourcesandCorrection, AbsorbingBoundaryConditions	NumericalTechniques in Electromagneticswith MATLAB 3rd Edition , Matthew N.O. Sadiku, 2009 (Ch7)
13	Monte Carlo Methods:Introduction, Generation of RandomNumbersandVariables, Evaluation of Error, Numerical Integration, Solution of PotentialProblems, Regional Monte Carlo Methods, Time-DependentProblems	NumericalTechniques in Electromagneticswith MATLAB 3rd Edition , Matthew N.O. Sadiku, 2009 (Ch8)
14	Method of Lines:Introduction, Solution of Laplace’sEquation, Solution of WaveEquation, Time-Domain Solution.	NumericalTechniques in Electromagneticswith MATLAB 3rd Edition , Matthew N.O. Sadiku, 2009 (Ch9)
15	Review
16	Review of the Semester

Course Notes/Textbooks	The textbook referenced above and course slides
Suggested Readings/Materials	RelatedResearchPapers

Semester Activities	Number	Weighting	LO 1	LO 2	LO 3	LO 4
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury	1	20
Project	1	40
Seminar / Workshop
Oral Exams
Midterm
Final Exam	1	40
Total

Weighting of Semester Activities on the Final Grade	2	60
Weighting of End-of-Semester Activities on the Final Grade	1	40
Total

Semester Activities	Number	Duration (Hours)	Workload
Theoretical Course Hours (Including exam week: 16 x total hours)	16	3	48
Laboratory / Application Hours (Including exam week: '.16.' x total hours)	16		0
Study Hours Out of Class	16	5	80
Field Work			0
Quizzes / Studio Critiques			0
Portfolio			0
Homework / Assignments			0
Presentation / Jury	1	45	45
Project	1	50	50
Seminar / Workshop			0
Oral Exam			0
Midterms			0
Final Exam	1	2	2
		Total	225

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
#	PC Sub	Program Competencies/Outcomes	1	2	3	4	5
1	Accesses information in breadth and depth by conducting scientific research in Electrical and Electronics Engineering; evaluates, interprets and applies information		-	X	-	-	-
2	Is well-informed about contemporary techniques and methods used in Electrical and Electronics Engineering and their limitations		-	-	X	-	-
3	Uses scientific methods to complete and apply information from uncertain, limited or incomplete data; can combine and use information from different disciplines		-	-	X	-	-
4	Is informed about new and upcoming applications in the field and learns them whenever necessary.		-	-	X	-	-
5	Defines and formulates problems related to Electrical and Electronics Engineering, develops methods to solve them and uses progressive methods in solutions.		-	-	-	-	X
6	Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs.		-	-	X	-	-
7	Designs and implements studies based on theory, experiments and modeling; analyses and resolves the complex problems that arise in this process.		-	-	X	-	-
8	Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations; can work independently and takes responsibility.		-	-	X	-	-
9	Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale.		-	-	X	-	-
10	Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form.		X	-	-	-	-
11	Is knowledgeable about the social, environmental, health, security and law implications of Electrical and Electronics Engineering applications, knows their project management and business applications, and is aware of their limitations in Electrical and Electronics Engineering applications.		X	-	-	-	-
12	Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity. Adheres to the principles of research and publication ethics.		X	-	-	-	-

EEE 525 | Course Introduction and Application Information

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