GMT747 - RADAR DATA PROCESSING and APPLICATIONS

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
RADAR DATA PROCESSING and APPLICATIONS GMT747 Any Semester/Year 3 0 3 10
PrequisitesNone
Course languageEnglish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Question and Answer
Preparing and/or Presenting Reports
Problem Solving
 
Instructor (s)Assoc. Prof. Dr. Saygın ABDÄ°KAN 
Course objectiveThe objective of the course is to teach students how to process and analyze the radar data. 
Learning outcomes
  1. The students who successfully completed this course:
  2. have the fundamental information and ability to process the radar images,
  3. extract information from radar images,
  4. make use of the radar and optical data integration.
Course ContentIntroduction and definitions. Basic concepts in radar data processing. Radar signal theory and analysis. Radar signal processing. Radar application areas: Urban, agriculture, forest and other applications. 
References- Digital signal processing techniques and applications in radar image processing, Wang, Bu-Chin, 2008.
- Fundamentals of radar signal processing, Richards, M. A, 2011. 

Course outline weekly

WeeksTopics
Week 1Introduction and definitions
Week 2Basic concepts in radar data processing
Week 3Radar signal theory and analysis
Week 4Radar signal theory and analysis
Week 5Radar signal processing
Week 6Radar signal processing
Week 7Radar application areas: Urban applications
Week 8Radar application areas: Urban applications
Week 9Midterm Exam
Week 10Radar application areas: Agriculture applications
Week 11Radar application areas: Agriculture applications
Week 12Radar application areas: Forest applications
Week 13Radar application areas: Forest applications
Week 14Radar application areas: Other applications
Week 15Preparation for the final exam
Week 16Final Exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments410
Presentation00
Project110
Seminar00
Midterms130
Final exam150
Total100
Percentage of semester activities contributing grade succes650
Percentage of final exam contributing grade succes150
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14798
Presentation / Seminar Preparation000
Project15050
Homework assignment41040
Midterms (Study duration)12525
Final Exam (Study duration) 13535
Total Workload35130290

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Advances contemporary knowledge in the field of geomatics engineering based on novel thinking and research.    X
2. Possesses creative and critical thinking, problem solving, and decision making abilities.  X  
3. Conducts a thorough novel research from scratch independently.    X
4. Acquires interdisciplinary knowledge of common terminology and joint working culture.  X  
5. Cooperates with national and international scientific research groups.    X
6. Attains the capacity to publish an international peer-reviewed journal manuscript.    X 
7. Maintains ethical responsibility.    X 
8. Obtains the skills to teach undergraduate and graduate level courses offered in geomatics engineering.   X 
9. Conducts verbal-written communication, surveys the literature, and prepares thesis in advanced level English.   X 

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest