DATA SENSING AND ANALYSIS IN CONSTRUCTION
Introduction to data sensing and analysis technologies for the onsite data capture, analysis and visualization in construction projects. Experience of using close range remote sensors and computing tools to facilitate construction engineering and management tasks. Focus on 1) project 3D as-built modeling and documentation, 2) visual detection, tracking and activity recognition of construction equipment and personnel, and 3) virtual construction inspection and site tour in mixed reality.
Prerequisites & course information
Requisites: G L E/CIV ENGR 291 , graduate/professional standing, or member of Engineering Guest Students Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Describe challenges related to data sensing and analysis in construction Audience: Both Grad & Undergrad 2. Use computer tools to analyze and visualize construction project data and models Audience: Both Grad & Undergrad 3. Identify, formulate and solve construction engineering and management problems with remote sensors Audience: Both Grad & Undergrad 4. Critically evaluate sensing technologies and actively develop innovative solutions to improve construction safety, productivity and quality Audience: Graduate Learning Outcomes: 1. Describe challenges related to data sensing and analysis in construction Audience: Both Grad & Undergrad 2. Use computer tools to analyze and visualize construction project data and models Audience: Both Grad & Undergrad 3. Identify, formulate and solve construction engineering and management problems with remote sensors Audience: Both Grad & Undergrad 4. Critically evaluate sensing technologies and actively develop innovative solutions to improve construction safety, productivity and quality Audience: Graduate
Sources
- Course catalogue ↗2026-2027