Ondokuz Mayıs Üniversitesi Bilgi Paketi - Ders Kataloğu

Description of Individual Course Units

Course Unit CodeCourse Unit TitleType of CourseYearSemesterECTS
HRT401 Geographical Information Systems-I 927006 4 7 5
Level of Course Unit
First Cycle
Objectives of the Course
The aim of this course is to provide knowledge on fundamental concepts and principles of Geographic Information Systems (GIS).
Name of Lecturer(s)
Doç. Dr. Derya Öztürk
Learning Outcomes
  1. Describe the functional components of GIS
  2. Describe differences among GIS, CAD, and DBMS
  3. Understand data structures and how to effectively organize data in a GIS database
  4. Understand spatial queries and spatial analysis
Mode of Delivery
Formal Education
Prerequisites and co-requisities
Recommended Optional Programme Components
Recommended or Required Reading
Yomralıoğlu, T., 2005. Coğrafi Bilgi Sistemleri Temel Kavramlar ve Uygulamalar, IBER Ofset, Trabzon.
Tecim, V., 2008. Coğrafi Bilgi Sistemleri Harita Tabanlı Bilgi Yönetimi, Renk Form Ofset, Ankara.
Masry, S. E., Lee, Y. C., 1988. An Introduction to Digital Mapping, Lecture Notes, Department of Surveying Engineering, University of New Brunswick, Fredericton, Canada.
Burrough, P. A., McDonnell, R. A., 1998. Principles of Geographical Information Systems, 2nd Edition, Oxford University Press, USA.
Michael N. DeMers, 2005. Fundamentals of Geographic Information Systems, 3rd Edition, Wiley & Sons, New York, USA.
Planned Learning Activities and Teaching Methods
Language of Instruction
Work Placement(s)
Course Contents
GIS theory; Data structures; Data standards; Spatial and non-spatial data; Topology; Spatial query and analysis.
Weekly Detailed Course Contents
Week Theoretical Practice Laboratory
1.Geographic Information Systems (GIS): Basic Concepts and Definitions
2.- GIS versus CAD versus DBMS: what are the differences?- Functions of DBMS and GIS
3.Characteristics of Spatial Data, Spatial Data Elements
4.- Comparison of vector and raster- Raster to Vector and Vector to Raster Conversion
5.Raster Data Model- Raster Data Compression Methods
6.Vector Data Model- Spaghetti Data Model- Topological Data Model- Difference between the spaghetti data model and the topological data model
7.- Concept of topology in GIS- Graph Theory- Topological data structures: DIME, POLYVRT, CARIS
8.- Topological Errors
9.- GIS Data Sources and Data Acquisition- Data Quality
11.Digital Elevation Models
12.Spatial query and spatial analysis
13.Vector Based Spatial Data Analysis
14.Raster Based Spatial Data Analysis
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight (%)
Midterm Examination1100
End Of Term (or Year) Learning ActivitiesQuantityWeight (%)
Final Examination1100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
Workload Calculation
ActivitiesQuantityTime(hours)Total Workload(hours)
Midterm Examination111
Final Examination122
Attending Lectures14342
Self Study14228
Individual Study for Mid term Examination12525
Individual Study for Final Examination12727