TRSS 416 - Transportation Data Analytics

3 credits
3 lecture hours. 3 lab hours.

This course presents the fundamental principles for hands-on transportation data analytics. The main objective is to introduce the necessary knowledge, including data processing, exploratory data analysis, visualization, hypothesis testing, and regression analysis, and tools, including Excel and R (an open-source programming language for statistical computing), needed to analyze small to medium-sized real-world transportation datasets.

Prerequisite(s) TRSS 301 or CEGR 416 completed with a grade of “C” or higher and Junior standing required to register
Offered (SPRING)