Deep Learning in Urban Systems

Deep learning and advanced AI techniques are revolutionizing how we understand and address urban challenges, particularly in complex systems like transportation, housing access, and climate change.

Advanced Urban Analytics delves into cutting-edge topics such as neural networks, spatiotemporal modeling, and generative AI, offering powerful tools for solving intricate urban problems. This course provides hands-on experience with deep learning frameworks and real-world datasets, enabling students to develop innovative solutions for optimizing transportation systems, predicting urban dynamics, and designing smarter cities.