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.
  • Program in Remote Sensing and Geographical Inform (Distance Learning)
  • Course Structure Diagram with Credits
  • Statistical Applications in Geographical Information Systems
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title UCS568 - Statistical Applications in Geographical Information Systems
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ EMRAH PEKKAN
Mode of Delivery Distant Education
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended Basic level knowledge of statistics is needed in this course. Therefore, as an advise İST533 Fundamentals of Statistics course is recommended.
Recommended Reading List
Assessment methods and criteria 2 midterm exams, 1 final exam 
Work Placement Not Applicable
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction to Statistics
Week - 2 Introduction to Spatial Statistics
Week - 3 Centrographic Statistics
Week - 4 Exercise 1
Week - 5 Ponit Pattern Analysis
Week - 6 Exercise 2
Week - 7 Spatial Autocorrelation
Week - 8 Spatial Autokorelation in Regional Scale
Week - 9 Exercise 3
Week - 10 Spatial Autocorrelation in Local Scale
Week - 11 Exercise 4
Week - 12 Correlation
Week - 13 Clasical Regression Model and Spatial Alternatives
Week - 14 Exercise 5

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Team/Group Work
  • Drill - Practise
  • Case Study
  • Competences
  • Questoning
  • Abstract analysis and synthesis
  • Problem solving
  • To work autonomously
  • Decision making
  • Project Design and Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%) 0
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