BAN 516 - Transportation Analytics

Course Description: This course explores various statistical analysis techniques used in transportation systems. Various practical transportation topics will be covered, including model estimation, data analytics, traffic forecasting, incident prediction, traffic flow theory, and safety. Techniques to be covered include statistics, data mining, hypothesis testing, experimental design, and optimization, such as regression, time series modeling, classification, and clustering. Popular statistical modeling software will be used to assess transportation solutions.

Credit Hours: 3

Corequisite Courses: None
Prerequisite Courses: None
Additional Restrictions/ Requirements: None
Course Repeatability: Course may not be repeated Maximum Repeatable Hours: 3

ADDITIONAL COURSE INFORMATION

Equivalent Courses: None
Undergraduate Crosslisting: None
Additional Course Fees: None
Course Attribute: None

Click here for the Spring 2025 Class Schedule.