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| FBE5009 | Geographical Information Systems | 3+0+0 | ECTS:7.5 | | Year / Semester | Spring Semester | | Level of Course | Second Cycle | | Status | Elective | | Department | | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Prof. 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 Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | xxx | | | | PO - 2 : | xxxxxxx | | | | PO - 3 : | xxxx | | | | PO - 4 : | xxxx | | | | 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 | | |
| 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 Data Infrastructures (SDI) concepts, standards. Spatial Analyses (SA); Classification of SA operations, Vector SA; Vector overlay operations, Spatial queries. Raster SA. Characterizing neighborhood (Slope, orientation, convexity), Reclassificiation operations, raster overlay, proximity, Network Analyses; road, utilities, and hydrographic networks, Shortest Path Algorithms, technologies, Modelling dynamic processes and spatio-temporal data; Space-time cube, Computational Fluid dynamics and its applications in GIS, Statistics and GIS; Hot Spot Analyses, Term project. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | GIS; fundamentals, applications and current status trends. Graph theory. Topology and its role in GIS, Topological data structures a | | | Week 2 | Lab Building topology in a GIS software (QGIS) | | | Week 3 | Database management systems, data models, relational, E_R, and UML models, Database design, related UKVA, INSPIRE concepts | | | Week 4 | Lab-SQL (structured Query Language) applications in PostGIS | | | Week 5 | | | | Week 6 | Spatial analyses and their classification in Berry's article. Multicriteria decision making, eigenvectors, raster analyses, slope aspect, flow accumulation. | | | Week 7 | Spatial analyses case study application- avalanche risk ranking of objects | | | Week 8 | midterm | | | Week 9 | | | | Week 10 | | | | Week 11 | Web GIS | | | Week 12 | Web GIS - Lab | | | Week 13 | term project | | | Week 14 | Modelling dynamical processses and Spatio-temporal data; CFD (Computational Fluid dynamics) and its application in flow modelling | | | Week 15 | Term project presentation and oral exam | | | Week 16 | Term project presentation and oral exam | | | |
| 1 | An Introduction to Digital maping, S.E. Masry, Y.C. Lee, Lecture Notes, Department of Surveying Engineering, University of new Brunswick, Fredericton, Canada, June 1988. | | | 2 | Fundamental operations in computer-assisted map analysis, International Journal of Geographical Information Science, Volume 1, Issue 2 1987 , pages 119-136 | | | |
| 1 | Principles of Geographical Information Systems for Land resources assessment, P.A. Burrough, Oxford University Press, 2nd edition, 1998 | | | 2 | Geographic Information Systems and Science, Longley P.A., Goodchild M.F., Maguire D.J., Rhind D.W., Willey 2001. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 8 | 01/12/2021 | | 20 | | Project | 15 | 15/01/2022 | | 30 | | End-of-term exam | 16 | 26/01/2022 | | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Arasınav | 1 | 1 | 1 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 44 |
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