Intermediate Urban Analytics

The practice of urban analytics is evolving rapidly, driven by the integration of advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques. This transformation enables planners and researchers to uncover hidden patterns in urban data, optimize decision-making, and address complex urban challenges with precision.

Intermediate Urban Analytics builds on foundational concepts, introducing students to advanced analytical tools and methodologies. Through hands-on projects and real-world case studies, this course empowers learners to apply AI and ML in areas like spatiotemporal analysis, predictive modeling, and urban simulations, bridging the gap between theory and impactful urban solutions. Recommend for students who completed Intro to Urban Analytics course or who has some experience with math and programming.