EE 472 Antennas and PropagationMEF UniversityDegree Programs Computer EngineeringGeneral Information For StudentsDiploma SupplementErasmus Policy Statement
Computer Engineering
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute Faculty of Engineering
Course Code EE 472
Course Title in English Antennas and Propagation
Course Title in Turkish Antenler ve Yayılım
Language of Instruction EN
Type of Course Seçiniz
Level of Course Seçiniz
Semester Spring
Contact Hours per Week
Lecture: 3 Recitation: None Lab: None Other: None
Estimated Student Workload 150 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites EE 304 - Electromagnetic Fields
Expected Prior Knowledge None
Co-requisites None
Registration Restrictions None
Overall Educational Objective
Course Description
Course Description in Turkish

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) Comprehend fundamental principles of antennas;
2) Analyse and design antennas and antenna arrays for some given specifications;
3) Describe fundamental principles of electromagnetic wave propagation.
Program Learning Outcomes/Course Learning Outcomes 1 2 3
1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3) An ability to communicate effectively with a range of audiences
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics H Exam,HW
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors H Exam,HW
3) An ability to communicate effectively with a range of audiences N
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts N
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives N
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions N
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies. N
Prepared by and Date CAGATAY ULUISIK ,
Course Coordinator EGEMEN BİLGİN
Semester Spring
Name of Instructor

Course Contents

Week Subject
1) Introduction : Review of coordinate systems, vector algebra and Maxwell’s equations
2) Basic antenna definitions and terms: directivity, efficiency, gain, polarization, beamwidth, isotropic radiator, far-field region, Voltage Standing Wave Ratio
3) The Electric (Hertzian or Ideal) Dipole: magnetic vector potential, magnetic and electric field vectors, complex poynting vector
4) The Electric (Hertzian or Ideal) Dipole: radiated power, radiation resistance, antenna efficiency, gain, directivity, radiation pattern
5) The Magnetic Dipole: magnetic vector potential, magnetic and electric field vectors, complex poynting vector, radiated power, radiation resistance, antenna efficiency, gain, directivity, radiation pattern.
6) Image theory, small antennas & short dipoles, resonant antennas and their radiation patterns.
7) Travelling wave antennas : Rhombic antennas and their radiation patterns
8) Log Periodic Dipole Arrays (LPDA)
9) Uniformly excited, equally spaced linear arrays. Element pattern, array factor, pattern multiplication, Half-Power BeamWidth (HPBW) and BeamWidth between First Nulls (BWFN) for the broadside and endfire cases
10) ANTEN-GUI : A Matlab-based visualisation package for planar arrays of isotropic radiators. The antenna simulator : NEC-WIN Professional
11) Fundamentals of radiowave propagation: polarisation, reflection, refraction, diffraction Free space propagation, Friis formula and free space path loss
12) Ground reflection and 2-ray model, knife edge diffraction.
13) Numerical propagation simulators: Ray approaches, Split Step Parabolic Equation (SSPE) method, Method of Moments (MoM)
14) Microstrip filter design, microstrip lines
15) Final Exam/Project/Presentation Period
16) Final Exam/Project/Presentation Period
Required/Recommended Readings1. C. A. Balanis, Antenna Theory - Analysis & Design, 2nd Ed., John Wiley & Sons, NY 1997 2. J. D. Kraus, Antennas, 2nd Ed., MacGraw-Hill Book Co., NY 1988 3. R. E. Collins, Antennas and Radiowave Propagation, MacGraw-Hill Book Co., NY 1985 4. D. K. Cheng, Field and Wave Electromagnetics, Second Ed., Addison-Wesley, New York, 1992
Teaching MethodsLectures/contact hours using “flipped classroom” as an active learning technique
Homework and ProjectsNone
Laboratory WorkNone
Computer UseNone
Other ActivitiesNone
Assessment Methods
Assessment Tools Count Weight
Homework Assignments 1 % 10
Midterm(s) 3 % 90
TOTAL % 100
Course Administration

Instructor’s office: TBD office hours: TBD email address: culuisik@dogus.edu.tr Rules for attendance: : - Missing a midterm: Provided that proper documents of excuse are presented, a make-up exam will be given for each missed midterm. Missing a final: Faculty regulations. A reminder of proper classroom behavior, code of student conduct: YÖK Regulations Statement on plagiarism: YÖK Regulations

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 3 3 84
Homework Assignments 1 3 6 9
Midterm(s) 3 17 2 57
Total Workload 150
Total Workload/25 6.0
ECTS 6