Machine Learning for the Built Environment

Liangliang Nan, Shenglan Du, Nail Ibrahimli
2021-2022 Q3, 2022-2023 Q3, 2023-2024 Q3

This course is introductory for machine learning to equip students with the basic knowledge and skills for further study and research in machine learning. It introduces the theory/methods of well-established machine learning and a few state-of-the-art deep learning techniques for processing geospatial data (e.g., point clouds). Students will also gain hands-on experiences by applying commonly used machine learning techniques to solve practical problems through a series of lab exercises and assignments.