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
  • Vocational School Of Information Technologies
  • Department Of Architecture And Urban Planning
  • Remote Sensing And Geographic Information Systems Programı
  • Course Structure Diagram with Credits
  • Remote Sensing and GIS Studio II -Data Processing and Analy.
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title UCS1002 - Remote Sensing and GIS Studio II -Data Processing and Analy.
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 2+6
ECTS 8.0
Course Instructor(s) GÖKBEN ADANA KARAAĞAÇ
Mode of Delivery Face to Face
Prerequisites
Courses Recomended
Required or Recommended Resources
Recommended Reading List
Assessment methods and criteria
Work Placement
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Spatial data, data model, transformation, comparison, evolution,
Week - 2 Spatial database theory, models, components
Week - 3 Vector data; spatial objects and geometry, spatial reference, spatial object tables and relationships between tables
Week - 4 Spatial object types (point, line, polygon, label, measurement, multiple point, multiple surface)
Week - 5 Raster data properties; usage areas, management strategies, data organization
Week - 6 Attribute and location based query applications
Week - 7 Spatial data processing; buffer, truncation, truncation, merging, merging, integration
Week - 8 Three-dimensional surface generation; digital surface model, digital terrain model, regular triangle mesh, digital elevation model
Week - 9 Surface analysis; slope, aspect, relief, field of view, elevation curve, watershed calculations
Week - 10 Data transformations, reclassification
Week - 11 Overlap analysis
Week - 12 Multi-criteria decision making methods
Week - 13 Multi-criteria decision making methods
Week - 14 Multi-criteria decision making methods and weighted registration analysis applications II

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Demonstration
  • Drill - Practise
  • Competences
  • Productive
  • Applying theoretical knowledge into practice
  • Information Management

Assessment Methods

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