Course Information

Course Name	Turkish	Konumsal Veri Analizleri
	English	Spatial Data Analysis
Course Code	GIT 502	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	-	3	3	-	-
Course Language		Turkish
Course Coordinator		Adalet Dervişoğlu
Course Objectives		*Understanding and applying spatial analysis • Raster and vector data analysis • Visualization of the analyzed results
Course Description		The spatial data structure, Vector and raster data use, Fundamental approaches , and strategy for spatial analysis, Surfece analysis, Grid Analysis, Geostatistics Analysis, Vector overlay and geometric processes, Network Analysis, Visualization and generalization methods, New Approaches for Spatial Analysis.
Course Outcomes		M.Sc. students who successfully pass this course gain knowledge, skill, and competency in the following subjects; i. Grasping the inter-disciplinary interaction related to one’s area ii. The ability to use the expert-level theoretical and practical knowledge acquired in the area iii. Interpreting and forming new types of knowledge by combining the knowledge from the area and the knowledge from various other disciplines iv. Solving the problems faced in the area by making use of the research methods v. Developing new strategic approaches to solve the unforeseen and complex problems arising in the practical processes of one’s area and coming up with solutions while taking responsibility vi. Using the computer software together with the information and communication technologies efficiently and according to the needs of the area vii. Paying regard to social, scientific, cultural, and ethical values during the collecting, interpreting, practicing, and announcing processes of the area-related data and the ability to teach these values to others viii. Developing strategy, policy, and application plans concerning the subjects related to the area and the ability to evaluate the end results of these plans within the frame of quality processes ix. Using the knowledge and the skills for problem-solving and/or application (which are processed within the area) in interdisciplinary studies
Pre-requisite(s)		Homework to use spatial analysis and network analysis functions; Project about developing spatial analysis algorithms for problem-solving
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