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COURSE SYLLABUS
RADAR CROSS SECTION PREDICTION AND REDUCTION TECHNIQUES
1 Course Title: RADAR CROSS SECTION PREDICTION AND REDUCTION TECHNIQUES
2 Course Code: EEM6205
3 Type of Course: Optional
4 Level of Course: Third Cycle
5 Year of Study: 1
6 Semester: 1
7 ECTS Credits Allocated: 6
8 Theoretical (hour/week): 3
9 Practice (hour/week) : 0
10 Laboratory (hour/week) : 0
11 Prerequisites:
12 Recommended optional programme components: None
13 Language: Turkish
14 Mode of Delivery: Face to face
15 Course Coordinator: Prof. Dr. UĞUR YALÇIN
16 Course Lecturers:
17 Contactinformation of the Course Coordinator: e-posta: uyalcin@uludag.edu.tr
Tel: +90 (224) 2942023
Adres: Bursa Uludağ Üniversitesi, Mühendislik Fak. Elektrik Elektronik Mühendisliği Bölümü
Nilüfer / BURSA
18 Website:
19 Objective of the Course: With the advent of the radar, radar cross-section area of defense technology as one of the most important areas of research in the design of the land / sea / air battleship vehicles. Synthesis and analysis of invisible objects and emitting coating technologies and the geometrical and physical properties of the absorber materials beginning the most important military secrets. In this course, the radar cross section analysis and synthesis techniques for electromagnetic analysis in the literature systematically examined and compared with a large number of examples
20 Contribution of the Course to Professional Development Provides the ability to reach and interpret information about the field of study
21 Learning Outcomes:
1 Ability to use radar cross-section area estimate techniques in advanced research;
2 Ability to analyze radar cross-section estimate techniques;
22 Course Content:
Week Theoretical Practical
1 Radar systems
2 Radar systems
3 Basic concepts about electromagnetics
4 Common occurrence of principles and theorems
5 The border / glow / edge conditions, polarization
6 Radar waveforms, induction theorems
7 Radar Cross Section (RCS) definitions
8 Radar Cross Section (RCS) definitions
9 Stealth technologies
10 Radar absorbing materials
11 Analytical / asymptotic techniques used in RCA analysis
12 The overall presentation of numerical techniques
13 Software used in the RCA
14 RCS measurement systems and techniques
23 Textbooks, References and/or Other Materials: 1.D.L. Adamy (Ed.) EW 101 : A First Course in Electronic Warfare, Artech House 2001. 2.Radar Signature Analysis and Imaging of Military Targets, Agard Conference Proceedings 583, 1996. 3.K. J. Vinoy, R. M. Jha, Radar Absorbing Materials: From Theory to Design and Characterization, Kluwer Academic Publishers; Book and Disk Ed. 1996. 4.D.C. Jenn, Radar and Laser Cross Section Engineering, American Institute of Aeronautics and Astronautics, Inc. 1995. 5.A.K. Bhattacharyya, High-Frequency Electromagnetic Techniques, John Wiley & Sons, Inc. 1995. 6.A.K. Bhattacharyya, D.L. Sengupta, Radar Cross Section Analysis and Control, Artech House 1991. 7.E.F. Knott, J.F. Shaeffer, M.T. Tuley, Radar Cross Section, Artech House, 2nd Ed. 1993. 8.M.I. Skolnik, Radar Handbook, 2nd Ed. McGraw Hill 1990. 9.J.W. Crispin, K.M. Siegel (Eds.), Methods of Radar Cross Section Analysis, Academic Press 1968.
24 Assesment
TERM LEARNING ACTIVITIES NUMBER PERCENT
Midterm Exam 1 40
Quiz 0 0
Homeworks, Performances 0 0
Final Exam 1 60
Total 2 100
Contribution of Term (Year) Learning Activities to Success Grade 40
Contribution of Final Exam to Success Grade 60
Total 100
Measurement and Evaluation Techniques Used in the Course Midterm Exam and Final Exam
Information
25 ECTS / WORK LOAD TABLE
Activites NUMBER TIME [Hour] Total WorkLoad [Hour]
Theoretical 14 3 42
Practicals/Labs 0 0 0
Self Study and Preparation 14 4 56
Homeworks, Performances 0 0 0
Projects 0 0 0
Field Studies 0 0 0
Midtermexams 1 30 30
Others 0 0 0
Final Exams 1 52 52
Total WorkLoad 180
Total workload/ 30 hr 6
ECTS Credit of the Course 6
26 CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6
LO1 5 0 0 0 0 0
LO2 0 5 0 0 0 0
LO: Learning Objectives PQ: Program Qualifications
Contribution Level: 1 Very Low 2 Low 3 Medium 4 High 5 Very High
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