CEE 522 - Visual Data Analytics

Spring 2023

TitleRubricSectionCRNTypeHoursTimesDaysLocationInstructor
Visual Data AnalyticsCEE522DA74729LCD41530 - 1650 T R    Mani Golparvar Fard
Visual Data AnalyticsCEE522ONL74730ONL4 -    Mani Golparvar Fard

Official Description

An introduction to 2D and 3D visual sensing for data acquisition and analysis of buildings and civil infrastructure systems. It is intended mainly for graduate students who want to acquire basic understanding of the theoretical concepts as well as application of computer vision and image processing for sensing buildings, civil infrastructure systems and sustainable construction operations. Course Information: 4 graduate hours. No professional credit. Prerequisite: CEE 420, CEE 421 and CEE 422 recommended.

Subject Area

  • Civil and Environmental Engineering

Course Description

This course provides an introduction to 2D and 3D visual sensing for data acquisition and analysis of buildings and civil infrastructure systems. It is intended mainly for graduate students who want to acquire basic understanding of the theoretical concepts as well as application of computer vision and image processing for sensing buildings, civil infrastructure systems and sustainable construction operations.

Credit Hours

4 hours

Prerequisites

An undergraduate degree and CEE 420, CEE 421 and CEE 422 are recommended.

Last updated

10/11/2022