16014 Artificial Intelligence for AEC Industry

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Subject handbook information prior to 2025 is available in the Archives.

Description

Artificial Intelligence (AI) engineering and related technologies have emerged as the powerful technological forces, revolutionising various sectors of the economy. The use of AI for the architecture, engineering, and construction (AEC) industry has escalated dramatically in recent years. With the recent advancement in AI engineering and related technologies, they have the potential to revolutionise the construction industry by improving efficiency, safety, and sustainability. Recent advancements in AI, including machine learning (ML) and deep learning (DL), offer transformative potential for the AEC industry, enhancing efficiency, safety, and sustainability.

The subject explores different types and methods of AI engineering and related technologies, and how the construction sector has applied these technologies successfully. Students are guided to develop a critical point of view of the technologies, feasibility, effort and impacts. The subject also focuses on the ethics and risks of AI engineering and related technologies in the AEC industry. By the end of this subject, participants develop a foundational understanding of AI in construction towards innovation in their careers.

Teaching and learning strategies

The subject is structured as a series of lectures and a group research project. Students will be discussing readings in-class and engaging in lectures on a range of AI engineering and related technologies. In addition, students will need to complete guided research into evaluating and structuring AI solutions for the AEC industry.

All documents will be accessible via UTS Canvas either by direct download or as a link to external resources. A detailed brief associated tasks and assessments, and additional documentation will, therefore, be uploaded to this subject’s UTS Canvas site. The location of all documents referred to in any assessment task will be detailed in such a way as to make it easily accessible to students. To further assist learning in this subject, essential and recommended readings, online presentations, and curated online resources will be made available.

The subject provides a range of formative feedback strategies. The assessment tasks are progressive. Individual feedback on each assessment task will detail individual performance against the published marking criteria. Assessment tasks can be submitted at any time prior to a published due date, but grades and feedback will be withheld until after the due date and issued to all students collectively.

Content (topics)

• Introduction to AI engineering and related technologies;
• An overview of AI concepts, their applications, and their relevance to the field of construction management (CM);
• Machine learning and deep learning theory, concept and programme tool;
• Application of AI on site safety management;
• Application of AI on time and progress management;
• Mid-term reporting of the Major Group Project
• Application of AI on design optimization;
• Application of AI of cost management;
• AI in infrastructure projects;
• Ethics and risks of AI; AI misconception;
• Presentation of Major Group Project
• Final remarks