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Language of Instruction
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English
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Level of Course Unit
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Master's Degree
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Department / Program
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DATA SCIENCE
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Type of Program
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Formal Education
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Type of Course Unit
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Elective
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Course Delivery Method
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Face To Face
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Objectives of the Course
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Developing an understanding of geography and geographical analysis for advanced
economic studies.
Introducing the field of spatial economics and econometrics.
Providing hands-on instruction and practice for using spatial analysis software.
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Course Content
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Spatial Economics is an introductory course of urban economics, regional economics
and neighborhood analysis. The course examines the influence of contextual socio-
economic affairs on economic growth and development, and on the individuals’
outputs at micro-meso-macro scales. While introducing spatial econometric models,
the course uses GeoDa, QGIS, R and STATA software for applied examples.
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Course Methods and Techniques
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The course covers methods such as spatial data analysis, spatial econometric models (SAR, SEM), and accessibility. Applied analysis is conducted using software like GeoDa and R.
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Prerequisites and co-requisities
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None
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Course Coordinator
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Associate Prof.Dr. Umut Türk
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Name of Lecturers
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None
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Assistants
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None
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Work Placement(s)
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No
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Recommended or Required Reading
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Resources
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-
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• O’Sullivan, D, and DJ Unwin, 2010. Geographic Information Analysis. John Wiley & Sons.
• O’Flaherty, Brendan, City Economics. Cambridge, Mass: Harvard University Press, 2005.
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Course Category
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Engineering
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%20
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Social Sciences
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%80
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