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Oct 02, 2024
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CAE 5840 - Introduction to Artificial Intelligence in the Built Environment3 lecture hours 0 lab hours 3 credits
Course Description
Inspired by recent advances in machine learning, computer vision, natural language processing, and other fields; academic and industrial organizations are looking into AI-based solutions for construction processes such as design optimization, scheduling, documentation, safety, and project monitoring. This course presents a comprehensive introduction to the principles of AI with a particular focus on the field of construction. The course is centered around several main AI topics covering the notion of machine learning (ML) and deep learning (DL).
Prereq: Senior or graduate standing
Note: This course is open to qualified undergraduate students.
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Demonstrate knowledge of the principles of artificial intelligence and its major branches, including machine learning and deep learning
- Describe the history of artificial intelligence and see how far it has evolved since its inception
- Describe the areas of application, current limitations, and future potential of AI technologies
- Discover how AI-based solutions can help increase efficiency and decrease risks in construction
- Explore several ML/DL algorithms and understand the basic steps to develop a valid model
- Demonstrate knowledge of how to decompose a real-world problem into a form suitable for a solution using AI technologies
Prerequisites by Topic
- Prior familiarity with Python helpful, but not required
Course Topics
- Introduction to AI, its history and evolution
- Applications of AI in construction
- Machine learning
- Deep learning
- Logic programming
- Automation in construction
- Complexity and rationality analysis
Coordinator
Dr. Basel Elkhapery
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