This course covers key urban data science concepts and techniques, focusing on big data, generative AI, and GIS-based city planning. Topics include the collection and analysis of big data, the visualization and interpretation of urban environments, urban system simulations, and the integration of generative AI to address real-world urban challenges.
Prerequisite(s): Third or fourth year-status and Geography 2220A/B, or permission of the instructor.
Extra Information: 2 lecture hours, 2 lab hours.
Course Weight: 0.50
Breadth:
CATEGORY A
i
Subject Code: GEOGRAPH
This Course is Mentioned in the Following Calendar Pages: