The course aims to equip students with a foundational understanding of how Artificial Intelligence (AI) techniques can be applied to design, construct, operate, and maintain intelligent systems across the built environment. Students will explore data-driven methods for automating decision-making processes, optimizing lifecycle performance, and enhancing sustainability in civil infrastructure and facility operations.

The course introduces students to Artificial Intelligence (AI) applications within the built environment, emphasizing both foundational knowledge and domain-specific implementations. It begins with an overview of AI in the construction and infrastructure sectors, followed by fundamental concepts of machine learning and deep learning. The course explores AI-driven solutions for construction automation, site monitoring, and predictive analytics in facility management. It covers intelligent infrastructure systems such as roads, bridges, and utilities, and delves into digital sensing and contextual data processing for real-time decision-making. Students will examine optimization strategies for lifecycle performance, proactive maintenance, and resilience of assets. Ethical considerations and responsible use of AI in civil engineering contexts are also addressed. The course concludes with discussions on smart cities and infrastructure intelligence, supported by real-world case studies and hands-on data analysis activities.