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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Graduate School
  2. Department of Open and Distance Learning
  3. Non-Thesis Master’s Degree in Open and Distance Learning
  4. Non-Thesis Master’s Degree in Measurement and Data Analytics (Distance Education)
  5. Course Structure Diagram with Credits
  6. Spatial Analysis with GIS
  7. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
ÖVA512 - Spatial Analysis with GIS II. SEMESTER 3 +0 6.0
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) PROF. DR. SEMRA GÜNAY
Mode of Delivery Distance Education
Place of Delivery
Used Educational Platforms
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There are no lessons related with the suggested lesson.
Recommended Resources AÖF (2022) Coğrafi Bilgi Sistemlerine Giriş. Ed: Ö. Yayla, S.Ekincek. AÖF yayınları, EskişehirÇabuk A.Avdan U.,Çömert R., Uyguçgil H., Şorman A., Küpçü S., Bektöre E.M., Işık Ö., (2011). Coğrafi bilgi sistemleri Eskişehir: Anadolu Üniversitesi Yayınları.
Work Placement Bu ders için uygun değildir.
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Basic Concepts in GIS
Week - 2 Basic map knowledge and map design
Week - 3 Data Types And Data Models
Week - 4 Spatial data sources
Week - 5 Measurement, querying and classification
Week - 6 Basic Spatial Analysis
Week - 7 Open Source Software QGIS
Week - 8 main format of the software, Features, General functions
Week - 9 Displaying raster and vector data, Digitization
Week - 10 Coordinating raster data, Determining geometric types of vector data
Week - 11 Defining attributes, Projection systems
Week - 12 Query operations, Graphical display operations
Week - 13 Relational databases, Creating thematic maps, Output preparing
Week - 14 Geographical analysis functions, 3D representation of data

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

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