Course Name Code Semester T+U Hours Credit ECTS
Analytical and Numerical Methods In Electromagneti EEM 601 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Doctorate Degree
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi AHMET YAHYA TEŞNELİ
Course Lecturers
Course Assistants
Course Category
Course Objective To show the commonly used analytical and numerical computation techniques at solving the electromagnetics and antenna problems
Course Content The fundamentals of electromagnetic theory, Laplace’s equation, The wave equation, Poisson’s equation, Analytical techniques, Separation of Variables, Series Expansion, Integral Equations, Numerical Techniques, Finite Difference, Finite Element, Transmission-line-matrix (TLM) method, Variational Methods, Moment Method, Monte Carlo Methods, Applications
# Course Learning Outcomes Teaching Methods Assessment Methods
1 To comprehend the analytical methods used solution of the electromagnetic problems Lecture, Self Study, Problem Solving, Discussion, Drilland Practice, Homework, Testing,
2 To comprehend the numerical methods Simulation, Homework, Testing,
3 To gain ability to apply the numerical methods to the electromagnetic Motivations to Show, Drilland Practice, Testing, Homework,
4 To gain ability to design and create computer programs that solve the engineering problems Drilland Practice, Simulation, Homework, Testing,
Week Course Topics Preliminary Preparation
1 The fundamentals of electromagnetic theory
2 Laplace’s equation, The wave equation, Poisson’s equation
3 Separation of Variables
4 Series Expansion
5 Integral Equations
6 Finite Difference Methods
7 Finite Element Method
8 Finite Element Method
9 Transmission-line-matrix (TLM) method
10 Variational Methods
11 Moment Method
12 Moment Method
13 Monte Carlo Methods
14 Applications
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Ability; to Access to wide and deep information with scientific researches in the field of Engineering, evaluate, interpret knowledge and implement. X
1 Ability; to Access to wide and deep information with scientific researches in the field of Engineering, evaluate, interpret knowledge and implement. X
2 Ability; To complete and implement “Limited or incomplete data” by using the scientific methods. To stick knowledge of different disciplinarians together. X
2 Ability; To complete and implement “Limited or incomplete data” by using the scientific methods. To stick knowledge of different disciplinarians together. X
3 Ability; to consolidate engineering problems, develop proper method to solve and apply innovative solutions. X
3 Ability; to consolidate engineering problems, develop proper method to solve and apply innovative solutions. X
4 Ability; To develop new and original ideas and methods, To develop new innovative solutions at design of system, component or process X
4 Ability; To develop new and original ideas and methods, To develop new innovative solutions at design of system, component or process X
5 Comprehensive information on modern techniques, methods and their borders which are being applied to engineering. X
5 Comprehensive information on modern techniques, methods and their borders which are being applied to engineering. X
6 Ability; to design and apply analytical, modeling and experimental based research, analyze and interpret the faced complex issues during the design and apply process. X
6 Ability; to design and apply analytical, modeling and experimental based research, analyze and interpret the faced complex issues during the design and apply process. X
7 High level ability to define the required information, data and reach, assess. X
7 High level ability to define the required information, data and reach, assess. X
8 Ability; To lead multi-disciplinary teams To take responsibility to define approaches for complex situations. X
8 Ability; To lead multi-disciplinary teams To take responsibility to define approaches for complex situations. X
9 Systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
9 Systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
10 Social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, announcement. X
10 Social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, announcement. X
11 Awareness at new and developing application of profession and ability to analyze and study on those applications. X
11 Awareness at new and developing application of profession and ability to analyze and study on those applications. X
12 Ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment. X
12 Ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment. X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 60
1. Ödev 40
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 16 16
Assignment 1 32 32
Final examination 1 16 16
Total Workload 144
Total Workload / 25 (Hours) 5.76
dersAKTSKredisi 6