Computer Vision for the Built Environment (CEE 147C)

3–4 credits · Graduate

How can Computer Vision and Machine Learning transform the trillion-dollar architecture, engineering, and construction (AEC) industry? This course provides a hands-on introduction to visual machine perception, bridging the gap between foundational AI research and real-world applications in design, construction, and management. Students will explore two interwoven storylines: the technical building blocks - including 3D reconstruction, diffusion models, and large multimodal models - and their application to critical AEC challenges like circularity, construction safety, and robotic workers. Through interactive tutorials and a final project, students will learn to design computer vision systems that drive efficiency and sustainability in the built environment. No prior coding or computer vision experience is required.