CIEG-620 : Transportation Systems Modeling and Analysis

This course is mainly oriented towards transportation engineering students interested in learning the fundamentals of econometric and machine learning studies. The course is structured on the basic objective for students to be able to conduct several literature reviews, data collection, analysis, modeling, forecasting, and report writing. To facilitate this, the course will introduce students to count data modeling, econometric modeling, machine learning modeling, and coding in Gauss and Python. Prerequisites: Graduate status or approval of instructor.