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
  • Graduate School of Sciences
  • Remote Sensing and Geographical Information Syst.
  • Master of Science (MS) Degree
  • Course Structure Diagram with Credits
  • Data Mining in Remote Sensing
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title UCS576 - Data Mining in Remote Sensing
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ DİLEK KÜÇÜK MATCI
Mode of Delivery Face to face
Prerequisites There is no precondition of this course.
Courses Recomended there is no recommended programme component
Recommended Reading List
Assessment methods and criteria 1 homework+ 1 project
Work Placement Not applicable
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction to Data Mining
Week - 2 Basic Conceps
Week - 3 Data Preproccessşng
Week - 4 Data Classification
Week - 5 Data Classification
Week - 6 Data Clustering
Week - 7 Data Clustering
Week - 8 Weka
Week - 9 Data Mining Applications in Remote Sensing
Week - 10 Data Mining Applications in Remote Sensing
Week - 11 Data Mining Applications in Remote Sensing
Week - 12 Data Mining Applications in Remote Sensing
Week - 13 Data Mining Applications in Remote Sensing
Week - 14 Data Mining Applications in Remote Sensing

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Drill - Practise
  • Proje Design/Management
  • Competences
  • True to core values
  • Creative
  • Work in teams
  • Use time effectively
  • To work in interdisciplinary projects
  • Project Design and Management

Assessment Methods

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