Basic Information
Course Name:
Electromagnetic Waves and Antennas
Language of Instruction:
English
Instructor:
Dr. Öğr. Üyesi Yusuf ÖZTÜRK
Course Objectives
The objective of this course is to provide students with fundamental knowledge of electromagnetic wave theory and antenna systems. The course covers electromagnetic wave propagation based on Maxwell’s equations, plane waves, polarization, transmission lines, waveguides, and basic antenna structures.The course also aims to develop students’ ability to solve electromagnetic problems using analytical methods, interpret modern communication and RF systems, and gain awareness of basic simulation tools used in electromagnetic system analysis.
Course Content
Review of Maxwell’s equations, electromagnetic wave propagation, plane waves, polarization, reflection and transmission of electromagnetic waves at boundaries, transmission lines, Smith chart, waveguides, electromagnetic radiation principles, dipole antennas, antenna parameters, antenna arrays, and electromagnetic wave applications in modern wireless communication systems are covered. Analytical and simulation-based analysis of fundamental electromagnetic problems is also included throughout the course.
Course Books / Materials / Recommended Resources
Textbook: Fawwaz T. Ulaby, Umberto Ravaioli, Fundamentals of Applied Electromagnetics, 7th Edition, Pearson Education, 2015. Supplementary References: 1) Constantine A. Balanis, Antenna Theory: Analysis and Design, Wiley. 2) David K. Cheng, Field and Wave Electromagnetics, Pearson. 3) David M. Pozar, Microwave Engineering, Wiley. Course Materials: Lecture notes and presentationsMATLAB/Python-based introductory electromagnetic analysis applicationsAntenna and electromagnetic wave simulation examplesProblem-solving and application documents
Academic Integrity and Artificial Intelligence
Full compliance with academic integrity and ethical principles is expected in this course. Plagiarism, cheating, unauthorized citation, and all other forms of unethical behavior are strictly prohibited in assignments, projects, reports, examinations, and all academic work. The use of artificial intelligence-based tools (such as ChatGPT, Copilot, Gemini, etc.) is strongly encouraged to accelerate the learning process, improve research efficiency, support coding activities, and enhance the quality of academic work. However, these tools should only be considered as supportive tools. Students are expected to analyze, verify, improve, and critically evaluate the content generated by AI tools and to incorporate their own academic contributions into their work. Submitting AI-generated content directly and verbatim without original student contribution will be considered a violation of academic integrity and may be treated as plagiarism. When deemed necessary, students may be asked to verbally explain the details of their submitted work, code, or reports and technically defend the methods they used.