GEOGENV 4221A
0.50 credit · Main
This course covers advanced methods and applications of urban data science. Students learn visualizing, measuring, and explaining the city through urban data analytics. Topics include big and real-time data analysis, geovisualization, urban system simulations, and AI for solving real-world urban challenges. Labs develop computational skills to understand dynamic urban environments.
Registration in third or fourth year and Geography and Environment 2220A/B, or permission of the instructor.
The former Geography 3226A/B.
2 lecture hours, 2 laboratory hours.
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