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.
Antirequisite(s): The former Geography 3226A/B.
Prerequisite(s): Registration in third or fourth year and Geography 2220A/B, or permission of the instructor.
Extra Information: 2 lecture hours, 2 laboratory hours.
Course Weight: 0.50
Breadth:
CATEGORY A
i
Subject Code: GEOGRAPH
This Course is Mentioned in the Following Calendar Pages: