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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of COMPUTER ENGINEERING
Computer Engineering, Masters with Thesis
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FBE
GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of COMPUTER ENGINEERING / Computer Engineering, Masters with Thesis
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FBE5009Geographical Information Systems3+0+0ECTS:7.5
Year / SemesterFall Semester
Level of CourseSecond Cycle
Status Elective
Department
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 3 hours of lectures per week
LecturerProf. Dr. Çetin CÖMERT
Co-Lecturer
Language of instruction
Professional practise ( internship ) None
 
The aim of the course:
Fundamentals of GIS, theoretical and practical knowledge on Spatial Analyses.
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : Define fundamental concepts and technologies of GIS
PO - 2 : Use GIS software (desktop)
PO - 3 : design their term project
PO - 4 : orally defend their term project
PO - 5 : carry out a lterature search for their term project.
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome

 
Contents of the Course
GIS Overwiew. Concepts and applications, Graph theory and Topology, Topological data structures, Building topology in a GIS, Database Design in GIS, SQL (Structured Query Language), Spatial-SQL. National Spatial Data Infrastructures (NSDI) Design, INSPIRE, NSDI concepts, standards, Web GIS relation. Multi-criteria decision making, AHP (Analytical Hierarchy Process). Spatial Analysis (SA); Overview and BoK (Body of Knowledge), Classification of SA operations, Vector SA; Vector overlay. Raster SA; reclassificiation, overlay, proximity, cost surfaces, accumulated cost, flow accumulation. Network Analyses; representation of networks, Shortest Path, location-allocation. Multi-criteria decision making and optimization in GIS. Modelling dynamic processes, Computational Fluid dynamics and GIS. Spatio-Temporal analyses; Space-time cube. Statistics and GIS; Hot Spot Analyses. Term project.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1GIS; fundamentals, applications and current status trends. Graph theory. Topology and its role in GIS, Topological data structures a
 Week 2Lab Building topology in a GIS software (QGIS)
 Week 3Database Design, Database management systems, data models, relational, E_R, and UML models, , related UKVA, INSPIRE concepts and technologies, Web GIS touch on. -Multi-criteria decision making, AHP (Analytical Hierarchy Process)-
 Week 4Lab-SQL (structured Query Language) applications in PostGIS -Lab: -Multi-criteria decision making, AHP .-
 Week 5Spatial Analysis (SA); Overview and BoK (Body of Knowledge), Classification of SA operations, Vector SA; Vector overlay. Raster SA; reclassification, overlay, proximity, cost surfaces, accumulated cost, flow accumulation.-1
 Week 6Spatial Analysis (SA); Overview and BoK (Body of Knowledge), Classification of SA operations, Vector SA; Vector overlay. Raster SA; reclassification, overlay, proximity, cost surfaces, accumulated cost, flow accumulation.-2
 Week 7Lab: Spatial analyses case study application- avalanche risk analysis.
 Week 8midterm
 Week 9Network Analyses; representation of networks, Shortest Path, location-allocation.
 Week 10 Lab: Network Analyses; representation of networks, Shortest Path, location-allocation.
 Week 11review of Multi-criteria decision making and optimization in GIS
 Week 12Modelling dynamic processes, CFD (Computational Fluid dynamics) and GIS; flood modelling.
 Week 13Lab: flood modelling.
 Week 14Statistics and GIS; Hot Spot Analyses. -Spatio-Temporal analyses; Space-time cube.-
 Week 15Term project presentation and oral exam -1
 Week 16Final exam
 
Textbook / Material
1An Introduction to Digital maping, S.E. Masry, Y.C. Lee, Lecture Notes, Department of Surveying Engineering, University of new Brunswick, Fredericton, Canada, June 1988.
2Fundamental operations in computer-assisted map analysis, International Journal of Geographical Information Science, Volume 1, Issue 2 1987 , pages 119-136
 
Recommended Reading
1Principles of Geographical Information Systems for Land resources assessment, P.A. Burrough, Oxford University Press, 2nd edition, 1998
2Geographic Information Systems and Science, Longley P.A., Goodchild M.F., Maguire D.J., Rhind D.W., Willey 2001.
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 8 01/12/2024 1 20
Laboratory exam 15 30
End-of-term exam 16 26/01/2024 1 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 14 42
Laboratuar çalışması 3 5 15
Arasınav için hazırlık 5 1 5
Arasınav 1 1 1
Proje 2 5 10
Dönem sonu sınavı için hazırlık 5 1 5
Dönem sonu sınavı 1 1 1
Total work load79