GMT749 - SPECIAL TOPICS IN REMOTE SENSING

Course Name Code Semester Theory
(hours/week)		 Application
(hours/week)		 Credit ECTS
SPECIAL TOPICS IN REMOTE SENSING GMT749 Any Semester/Year 3 0 3 10
Prequisites-
Course languageEnglish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Question and Answer
Drill and Practice
Problem Solving
 
Instructor (s)Prof. Dr. Mustafa TÃœRKER 
Course objectiveTeaching the up-to-date and special topics in remote sensing at postgraduate level.  
Learning outcomes
  1. A student who completes the course:
  2. understands and follows the up-to-date literature in remote sensing field, discusses his/her learnings,
  3. learns and develops methods, algorithms etc. related to the topic,
  4. performs literature survey about the topic, represents his/her findings and develops a project.
Course ContentUp-to-date and special topics in remote sensing at postgraduate level. 
References- Lillesand, T.M. and Kiefer, R.W., 1987. Remote sensing and Image Interpretation, John Wiley.
- Jensen, J. R. Introductory digital image processing a remote sensing perspective, Prentice Hall series in geographic information science.
- Schowengerdt, R. A., 2007. Remote Sensing: Models and Methods for Image Processing, Academic Press.
- Campbell, J.B., 1996. Introduction to Remote Sensing, Taylor & Francis, London.
- Cracknell, P. and Hayes, L. Introduction to remote sensing. 

Course outline weekly

WeeksTopics
Week 1Will be defined by the faculty member in charge.
Week 2Will be defined by the faculty member in charge.
Week 3Will be defined by the faculty member in charge.
Week 4Will be defined by the faculty member in charge.
Week 5Will be defined by the faculty member in charge.
Week 6Will be defined by the faculty member in charge.
Week 7Will be defined by the faculty member in charge.
Week 8Will be defined by the faculty member in charge.
Week 9Will be defined by the faculty member in charge.
Week 10Will be defined by the faculty member in charge.
Week 11Will be defined by the faculty member in charge.
Week 12Will be defined by the faculty member in charge.
Week 13Will be defined by the faculty member in charge.
Week 14Will be defined by the faculty member in charge.
Week 15Will be defined by the faculty member in charge.
Week 16Final Exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments00
Presentation00
Project00
Seminar00
Midterms250
Final exam150
Total100
Percentage of semester activities contributing grade succes250
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)1410140
Presentation / Seminar Preparation13030
Project14040
Homework assignment000
Midterms (Study duration)000
Final Exam (Study duration) 14040
Total Workload31123292

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