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 Pr.
  • 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
  • ECTS Credit Load

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) ÖĞRETİM GÖREVLİSİ DOKTOR GÖKBEN ADANA KARAAĞAÇ
Mode of Delivery Face to face
Prerequisites There are no prerequisites or co-requisites for this course.
Courses Recomended -
Required or Recommended Resources - Presentations and notes prepared by the lecturer.
Recommended Reading List -
Assessment methods and criteria 1 Midterm Exam, 1 Final Exam and 1 Assignment
Work Placement - The program includes compulsory internship training.
Sustainability Development Goals Quality Education , Industry, Innovation and Infrastructure , Responsible Production and Consumption , Climate Action , Terrestrial Life

Content

Weeks Topics
Week - 1 Spatial data, data model, transformation, comparison, evolution,
Week - 2 EN: Geodatabase 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 EN: Multi-criteria decision making methods and weighted overlay analysis applications II

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Demonstration
  • Drill - Practise
  • Competences
  • Productive
  • Questoning
  • Work in teams
  • Problem solving
  • Applying theoretical knowledge into practice
  • Information Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 30
Homework 1 20
Final Exam 1 50
Toplam (%) 100
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