The objective of this course is to introduce students to the fundamental concepts and application areas of rapidly evolving artificial intelligence, machine learning, and digital automation technologies in the construction industry. Within the scope of this course, it is aimed for students to comprehend innovative approaches in modern civil engineering and construction technology—ranging from the optimization of construction materials to smart jobsite management, and from Building Information Modeling (BIM) to autonomous construction equipment. Furthermore, the course aims to equip students with the vision and technical infrastructure necessary to adapt to the digital transformation in the construction sector by analyzing the contributions of these technologies to occupational health and safety, productivity, and sustainability processes.

This course covers the theoretical and practical foundations of digital transformation, artificial intelligence (AI), and automation applications in the construction industry. Throughout the course, the role of big data analytics and machine learning algorithms in construction technologies, AI integration with Building Information Modeling (BIM), smart jobsite management, autonomous construction equipment, and Internet of Things (IoT)-based safety systems will be examined. Additionally, the utilization of AI simulations in materials technology, such as industrial waste recycling and concrete mix optimization, alongside sustainable construction cycles will be emphasized. Students will analyze automation tools and intelligent decision-support systems in the modern construction sector through practical case studies.