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
  • Graduate School of Sciences
  • Remote Sensing and Geographical Information Syst.
  • 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) PROFESÖR DOKTOR UĞUR AVDAN
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.
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 (%)
Homework 1 30
Final Exam 1 40
Toplam (%) 70
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