DATA 3113 - Advanced Data Analytics in Transportation

Credits: 3

The purpose of this course is to provide students with a solid foundation in advanced data analysis techniques necessary for understanding and analyzing transportation related datasets and data driven asset managements. Advanced data analysis techniques for transportation databases related to transportation systems and transportation facilities are discussed. Topics to be covered include but not limited to transportation asset management process, dimensions of data needs for transportation asset management, data collection, integration and management methods, performance and models estimation techniques, transportation impact modeling and needs assessment, life-cycle cost analysis, economic analysis on transportation facilities preservation, environmental and safety impact data analysis, decision and investment models. This course builds the foundation for the students who plan to peruse careers as transportation data analyst professionals.

Prerequisite(s): CIVT 2113/DATA 2113