Department of Electrical and Electronics Engineering

Course Details

ELE728 - Antenna Theory and Analysis

2023-2024 Spring term information
The course is not open this term
ELE728 - Antenna Theory and Analysis
 Program Theoretýcal hours Practical hours Local credit ECTS credit PhD 3 0 3 10
 Obligation : Elective Prerequisite courses : - Concurrent courses : - Delivery modes : Face-to-Face Learning and teaching strategies : Lecture, Discussion, Question and Answer, Preparing and/or Presenting Reports, Problem Solving Course objective : The aim of the course is to give the students the advanced antenna theory as well as the analytical and numerical methods for analysis of some practical antennas. Learning outcomes : At the end of course, the students can use the method of moments to solve integral equations. can design antennas such as aperture, horn, reflector and microstrip. can analyze many advanced antenna structures. are able to conduct research in antenna analysis and design. are able to understand and talk about recent literature on antennas. Course content : Wire antennas, Method of Moments, Aperture antennas, Horn antennas, Reflector antennas, Ray optical methods, Transmission line and cavity models for microstrip antenna analysis, Finite Difference (FD) methods, Recent advances in antenna theory and design. References : 1) Balanis C.A., Antenna Theory: Analysis and Design, Wiley, 2005. ; 2) Stutzman W.L. and Thiele G.A., Antenna Theory and Design, John Wiley & Sons, 1998.; 3) Selected papers from IEEE Antennas and Propagation Society Publications.
Course Outline Weekly
Weeks Topics
1 Electric and magnetic field integral equations
2 Finite diameter wires and Moment method solution
3 Field equivalence principle, radiation equations
4 Rectangular and circular apertures
5 Babinet?s principle, Fourier transform in aperture antenna theory
6 E-plane and H-plane sectoral horns, other horn antennas
7 Ray optical methods
8 Plane, corner and parabolic reflector antennas
9 Midterm Exam
10 Transmission line and cavity models for microstrip antennas
11 Rectangular patches, circular patches, arrays and feed networks
12 Finite Difference (FD) methods for antenna analysis
13 Recent advances in antenna theory and analysis
14 Recent advances in antenna theory and analysis
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 4 20
Presentation 1 10
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 8 112
Presentation / Seminar Preparation 0 0 0
Project 1 25 25
Homework assignment 4 10 40
Quiz 0 0 0
Midterms (Study duration) 1 40 40
Final Exam (Study duration) 1 40 40
Total workload 35 126 299
Matrix Of The Course Learning Outcomes Versus Program Outcomes
Key learning outcomes Contribution level
1 2 3 4 5
1. Has highest level of knowledge in certain areas of Electrical and Electronics Engineering.
2. Has knowledge, skills and and competence to develop novel approaches in science and technology.
3. Follows the scientific literature, and the developments in his/her field, critically analyze, synthesize, interpret and apply them effectively in his/her research.
4. Can independently carry out all stages of a novel research project.
5. Designs, plans and manages novel research projects; can lead multidisiplinary projects.
6. Contributes to the science and technology literature.
7. Can present his/her ideas and works in written and oral forms effectively; in Turkish or English.
8. Is aware of his/her social responsibilities, evaluates scientific and technological developments with impartiality and ethical responsibility and disseminates them.
1: Lowest, 2: Low, 3: Average, 4: High, 5: Highest