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 I -Basic Applications
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title UCS1001 - Remote Sensing and GIS Studio I -Basic Applications
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 Definition of geography, general concepts, the place we live, the earth sphere, parallel-meridian, clock concepts
Week - 2 Map Information, map types, scale and types,
Week - 3 What are coordinates, coordinate systems, types, datum, geoid and ellipoid concepts
Week - 4 Map projections, map projections used in Turkey
Week - 5 Basic concepts of surveying and surveying knowledge, basic surveying instruments and cartographic calculations
Week - 6 Basic concepts of geographic information systems, history, components, softwarecbs
Week - 7 Software installation, use of basic menus, opening, editing, saving data
Week - 8 Data types and data models; vector data; data types, data layout, digitization, georeferencing,
Week - 9 Organization of attribute data, vector-based analysis functions
Week - 10 Queries based on attribute data, location based queries
Week - 11 Data types and data models; raster data, raster-based analysis functions
Week - 12 Data acquisition techniques, metadata, examination of data quality, data transformations
Week - 13 Presentation of data and analysis as output and thematic mapping
Week - 14 Urban information systems, land information systems, decision support systems, application examples, decision making in GIS projects

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Demonstration
  • Drill - Practise
  • Competences
  • Productive
  • Creative
  • Abstract analysis and synthesis
  • Problem solving

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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