Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Science
  • Department of Physics
  • Course Structure Diagram with Credits
  • Satellite Data Analysis Techniques
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title FİZ444 - Satellite Data Analysis Techniques
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 2+0
ECTS 3.0
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ METİN ALTAN
Mode of Delivery Face to face training is provided.
Prerequisites Since this course is mainly practice, each student must have his / her own laptop and the windows operating system must be installed.
Courses Recomended There is no need for students to get another lesson.
Recommended Reading List It is recommended to examine the sources including theoretical and application algorithms related to Remote Sensing and Geographical Information Systems.
Assessment methods and criteria One midterm, one final and one homework note will be given.
Work Placement Within the scope of the course, each student will make a project with positional modeling and take homework grade.
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Teaching geometric, magnetic and atmospheric properties of Earth
Week - 2 Teaching atmospheric absorption, permeability and spread principles
Week - 3 Teaching interaction of electromagnetic energy with matter
Week - 4 Teaching properties of physical, geometric and resolution of satellite
Week - 5 Teaching spectral properties of satellite data
Week - 6 Teaching properties and variety of digital data
Week - 7 Teaching preparation for applications of digital data analysis and modeling
Week - 8 Teaching positional modeling techniques on digital data
Week - 9 Teaching software functions on satellite data analysis
Week - 10 Teaching projection definition for positional analysis
Week - 11 Teaching statistical functions for use satellite data analysis
Week - 12 Teaching methodologies of classification on satellite data
Week - 13 Teaching combine 3-dimensional topographical data with satellite data
Week - 14 Teaching use satellite data on project studies.

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Team/Group Work
  • Demonstration
  • Drill - Practise
  • Case Study
  • Brain Storming
  • Proje Design/Management
  • Competences
  • Productive
  • Rational
  • Questoning
  • Entrepreneur
  • Creative
  • Follow ethical and moral rules
  • Environmental awareness
  • Work in teams
  • Use time effectively
  • Abstract analysis and synthesis
  • Problem solving
  • Applying theoretical knowledge into practice
  • Information Management
  • Organization and planning
  • Decision making
  • To work in interdisciplinary projects
  • Project Design and Management
  • To work in international projects

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
2.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100
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