Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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  • Türkçe
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.
  • (Non-Thesis) Master of Science (MS) Degree
  • Course Structure Diagram with Credits
  • Fundamentals of Mapping and Geographical Information Systems
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title UCS533 - Fundamentals of Mapping and Geographical Information Systems
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s)
Mode of Delivery This course is given only face to face.
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended After this course complementarily, UCS508 Interpretation and Analysis Techniques on Geographic  Informatıon Systems course is also recommended.
Required or Recommended Resources
Recommended Reading List
Assessment methods and criteria 2 midterm exams, 1 final exam
Work Placement
Sustainability Development Goals

Content

Weeks Topics
Week - 1 What is data and information? What is Information System? What is Spatial Data? What is GIS?
Week - 2 History of GIS GIS Components Analysis used in GIS Uses of GIS
Week - 3 Basic concepts of map History of Map Map types
Week - 4 Scale and scale types Map elements How to read maps?
Week - 5 Basic Consepts of Spatial Reference Systems Geodesy Geoid/Elipsoid
Week - 6 Datums Map Projections Coordinate Systems
Week - 7 Data types in GIS Attribute data Spatial data Spatial data models
Week - 8 Rater data model Vector data model Topology and topological rules
Week - 9 Data preperation in GIS Data sources of GIS Data collection techniques in GIS
Week - 10 Feaure datasetsin GIS Feature Classes (point, line, polygon) Field types of feature classes
Week - 11 Georeferencing of raster data Spatial data generation and editing Layer concept and structure
Week - 12 Spatial data visualization Sembology in GIS Tematic maps
Week - 13 Data Conversion Tools Projection Transformations Geographic Trasformation Parameters
Week - 14 Google Earth and GIS Data conversion to Google Earth environment KML and KMZ data format

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Question & Answer
  • Observation
  • Field Trip
  • Team/Group Work
  • Experiment
  • Drill - Practise
  • Case Study
  • Brain Storming
  • Report Preparation and/or Presentation
  • Role Playing/Dramatization
  • Competences
  • Productive
  • True to core values
  • Questoning
  • Creative
  • Civic awareness
  • Environmental awareness
  • Effective use of a foreign language
  • Adapt to different situations and social roles
  • Work in teams

Assessment Methods

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