Syllabus

Introduction to Artificial Intelligence in Construction (6 hours)
• Fundamental concepts of Artificial Intelligence
• Role of Artificial Intelligence in the construction industry
• Overview of Artificial Intelligence-based tools used in construction engineering

Artificial Intelligence in Design and Structural Optimization (8 hours)
• Parametric design and generative design principles
• Structural optimization techniques using Artificial Intelligence
• Economic and practical benefits of design automation

Artificial Intelligence in Construction Planning and Productivity (8 hours)
• Basics of project scheduling and resource planning
• Application of Microsoft Project for construction scheduling
• Use of Artificial Intelligence for productivity improvement and delay prediction

Robotics and Automation in Construction (8 hours)
• Introduction to construction robotics and on-site automation
• Collaboration between humans and machines in construction tasks
• Smart building systems and digital representation of construction projects

Artificial Intelligence in Site Monitoring and Documentation (6 hours)
• Techniques for capturing real-world site data (drones, laser scanning, and image processing)
• Use of visual intelligence and computer vision for tracking construction activities
• Automation in construction documentation and reporting using Artificial Intelligence

To introduce the fundamentals of Artificial Intelligence and its relevance to modern construction engineering and management.

To familiarize students with AI-based tools used in design optimization, project planning, and site monitoring.

To demonstrate the application of automation and robotics in construction processes for enhancing productivity and safety.

To develop practical skills using software such as Microsoft Project and visual programming tools

To encourage critical thinking about emerging technologies and their role in sustainable, data-driven construction practices.

Understand and explain the key concepts of Artificial Intelligence and identify its potential applications in the construction industry.

Apply AI-supported tools for basic tasks in design optimization, scheduling, and productivity monitoring.

Analyze the impact of robotics and automation on construction efficiency, quality, and safety.

Create and interpret construction schedules using Microsoft Project and understand how AI tools can enhance traditional planning methods.

Evaluate and suggest AI-driven solutions for real-time site monitoring, documentation, and decision-making in construction projects.

J. L. Blanco, S. Fuchs, M. Parsons, and M. J. Ribeirinho, Artificial intelligence: Construction technology's next frontier, McKinsey

Limao Zhang, Yue Pan, Xianguo Wu, and Miroslaw J. Skibniewski, Artificial Intelligence in Construction Engineering and Management, Springer Nature Singapore

Mario Carpo, The Second Digital Turn - Design Beyond Intelligence, Cambridge, MIT Press

Aman Kumar, Harish Chandra Arora, Krishna Kumar, Moncef L. Nehdi, and Robertas Damaševicius, Artificial Intelligence Applications for Sustainable Construction, Elsevier Science

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