AI for Urban Data

Catalog description

This course provides a broad overview of the opportunities and challenges related to urban data and helps familiarize students with key datasets and the tools and methodologies to visualize and analyze them.The course will introduce a framework to reason about urban data and will present various tools and methodologies to process the data, including data mining, machine learning, GIS, network analysis, simulation, agent-based modeling, and data visualization. Traditional Big Data challenges will be reviewed and the associated challenges speci?c to urban data such as quality, privacy, bias, and data governance will be highlighted. Students will also be introduced to the relevant optimization and simulation models so as to enable them to leverage these tools for data-driven decision-making and creating policy.