This course explores the unique modeling and analysis challenges faced by transportation engineers.  Students will be introduced to these challenges in a wide range of transportation areas – ranging from traffic flow theory to safety to pedestrian flow.  Data characteristics from these areas will be investigated, along with well-suited modeling and analysis techniques.  Topics to be covered include descriptive statistics and data representation, fitting data to distributions, hypothesis testing, non-parametric tests, regression analysis, experimental design, and sampling. These methods will be used to gain an understanding of key concepts in traffic flow theory, considerations in the design of simulation experiments, safety analysis, and characteristics of non-highway modes.