Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
MAP INFORMATION BAU201 3. Semester 3 + 0 3.0 4.0

Prerequisites None

Language of Instruction Turkish
Course Level Associate's Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors
Assistants
Goals Submitting the fundamentals of CBS technologies, expressing physical and functional components of CBS, introduction of Global Positioning System and Map Projection concepts fundamentals, explanation of Data administration and spatial data models (vector and raster), submitting graph and feature data integrated analysis methods and concepts.
Course Content Digital geographic information, GIS definition, GIS components, GIS applications, disciplines associated with GIS, the importance of data for GIS, data input with the use of existing images, real-time digital data input, present digital data input, The World coordinate geometry, Three-dimesional systems, Plane coordinate systems, The relationship with map projections and GIP projection surface, Projection surfaces, Projection corruptions, selection of the proper map projection, Data management concepts, Data drafts, Data base management systems reviews, Vector data model, Raster data model, Transformation between Vector and Raster datas, symbolisation of features, Correction/ classification/generalisation, Overthrust analysis, network analysis, neighborhood analysis, Data quality and errors, Error sources of GIS
Learning Outcomes 1) Learning basic concepts related to map information and Geographic Information Systems
2) Map reading, coordinate finding, use of GPS
3) Major catastrophes in the world

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Digital geographic information, GIS definition, GIS components Lecture; Question Answer

 Homework Presentation (Including Preparation Time)
2. Week GIS applications, disciplines associated with GIS, Lecture; Question Answer; Discussion

 Homework Presentation (Including Preparation Time)
3. Week The importance of data for GIS, data input with the use of existing images Lecture; Question Answer; Discussion

 Homework Presentation (Including Preparation Time)
4. Week real-time digital data input, present digital data input, Lecture; Question Answer; Discussion

 Homework Presentation (Including Preparation Time)
5. Week The World coordinate geometry, Three-dimesional systems, Plane coordinate systems, Lecture; Question Answer; Discussion

 Homework Presentation (Including Preparation Time)
6. Week The relationship with map projections and GIS projection surface, Projection surfaces, Lecture; Question Answer; Discussion; Case Study

 Homework Presentation (Including Preparation Time)
7. Week Projection corruptions, selection of the proper map projection, Lecture; Question Answer; Discussion; Case Study

 Homework Presentation (Including Preparation Time)
8. Week Midterm exam Question Answer
Brainstorming
 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
9. Week Data management concepts, Data drafts, Lecture; Question Answer

 Homework Presentation (Including Preparation Time)
10. Week Data base management systems reviews, Lecture; Question Answer; Discussion

 Homework Presentation (Including Preparation Time)
11. Week Vector data model, Raster data model, Lecture; Question Answer; Discussion; Case Study

 Homework Presentation (Including Preparation Time)
12. Week Transformation between Vector and Raster datas, symbolisation of features, Lecture; Question Answer; Problem Solving; Discussion; Case Study

 Homework Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
13. Week Correction/ classification/generalisation, Lecture; Question Answer; Problem Solving; Discussion

 Homework Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
14. Week network analysis, neighborhood analysis, Lecture; Question Answer; Problem Solving; Discussion

 Homework Presentation (Including Preparation Time)
15. Week Data quality and errors, Error sources of GIS Lecture; Question Answer; Problem Solving; Discussion
Brainstorming
 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
16. Week Final Exam Question Answer

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)

Sources Used in This Course
Recommended Sources
ƒ Antenucci, J.C. (1991) Geographical Information Systems: Aguide to the Technology, Van Nostrand Reinhold, New York.
Aronoff S. (1989) Geographic Information Systems: A Management Perspective, WDL Publications, Ottawa, Canada
Burrough, P.A. (1986) Principles of Geographic Information Systems for Land Resource Assessment, Claredon Press, Oxford.
Magurie, D.J., M.F. Goodchild and D.W. Rhind (1991) Geographical Information Systems Principles and Applications, Longman Scientific and Technical.

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3
PY15000
PY25000
PY35000
PY45000
PY55000

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 3
Work Hour outside Classroom (Preparation, strengthening) 14 3
Homework 1 4
Presentation (Including Preparation Time) 1 4
Midterm Exam 1 1
Time to prepare for Midterm Exam 5 2
Final Exam 1 1
Time to prepare for Final Exam 10 2
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload