AI and Machine Learning for Construction
Master AI, machine learning, and NLP applications in e-Construction through hands-on development of intelligent construction solutions.
Master AI, machine learning, and NLP applications in e-Construction through hands-on development of intelligent construction solutions.
This advanced course explores the integration of artificial intelligence and computational tools in the construction industry. As the third course in a sequence focusing on computer applications in construction, it emphasizes advanced computational methods including AI, machine learning, and natural language processing. Students develop practical skills through hands-on activities targeting real construction problems. The curriculum covers spreadsheet applications, database design, Python programming, NLP for construction specifications, and machine learning applications in digital inspection systems. By combining theoretical foundations with practical implementation, students learn to develop intelligent e-Construction applications for modern construction management.
Instructors:
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What you'll learn
Program and develop spreadsheet applications for construction project management
Implement machine learning algorithms for construction data processing
Create natural language processing solutions for construction documentation
Design and manage engineering databases for construction projects
Develop Python-based applications for construction automation
Implement digital inspection systems using machine learning
Skills you'll gain
This course includes:
Live video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 5 modules in this course
This comprehensive course focuses on advanced computational tools and their applications in construction management. The curriculum progresses through five key areas: e-Construction and spreadsheet applications, engineering database design and implementation, Python programming fundamentals, natural language processing for construction documents, and machine learning applications in digital inspection. Students gain practical experience through hands-on activities, learning to develop intelligent solutions for construction management challenges. The course emphasizes both theoretical understanding and practical implementation of AI technologies in construction contexts.
e-Construction and Spreadsheet Applications
Module 1
Engineering Database Systems
Module 2
Python Programming Fundamentals
Module 3
Natural Language Processing
Module 4
Machine Learning Applications
Module 5
Instructors
Distinguished Construction Engineering and Technology Innovator
Hubo Cai is a distinguished dual-appointment professor at Purdue University, serving both in the Lyles School of Civil Engineering and the Division of Construction Engineering and Management. His academic journey began at Tongji University, where he earned his Bachelor's Degree in Construction Management Engineering in 1998, followed by MS and Ph.D. degrees in Civil Engineering from North Carolina State University in 2002 and 2004 respectively. As a Professional Engineer (P.E.), he has established himself as a leading expert in engineering informatics, multimodal sensing, building information modeling, and artificial intelligence applications in construction. His research integrates cutting-edge technology with traditional civil engineering practices, focusing on advancing the field through digital innovation and smart construction methodologies.
Construction Technology and AI Researcher
Yuxi Zhang is a doctoral candidate in the Lyles School of Civil Engineering at Purdue University, specializing in advanced construction technologies. Her academic journey includes a Bachelor's Degree in Construction Management Engineering from Tianjin University (2016) and a Master's in Civil Engineering from Purdue University (2019). Her research focuses on the intersection of construction engineering and digital technologies, with expertise in image processing, computer vision, building information modeling, and artificial intelligence applications in construction. Her work contributes to advancing the digital transformation of construction engineering through innovative technological solutions.
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