Current course offerings

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Course description

Understanding data, identifying patterns and knowledge from data, developing models to use data to estimate or predict phenomena are essential skills to civil engineers in the 21st century. Civil engineers collect and analyse large amounts of data almost on a daily basis to make better and more informed decisions. Mastering common data analytic techniques therefore essential for a productive civil engineering career. This course is designed to meet this critical need by providing students with the necessary skills and knowledge in processing, analysing, and interpreting data collected in civil engineering. This includes techniques for handling common data issues, approaches for exploratory data analysis, and methods for confirmatory data analysis. A range of popular techniques are covered, including descriptive analysis, imputation and denoising, comparison analysis, pattern classification and recognition, estimation and prediction, etc. Each technique's application in civil engineering is the focus of the course.

Archived offerings