​This course will introduce you to the planning, analysis, and design of transportation systems. Topics include travel demand modeling, mode choice, network analysis principles, and transit operations; traffic flow principles, level of service, and signal control; and roadway geometric design. This course is taught using inquiry-based learning; concepts will be introduced through mini-lectures separated by engineering problem-solving and student-led discussion. After completing this course, you will have a fundamental understanding of transportation system concepts and experience with problem-solving in the transportation engineering context.

​This course provides a mathematical and rigorous coverage of traffic flow parameters and relationships, queueing models of traffic flow, kinematic wave theory and solution methods, mesoscopic node models, and optimal control. This course is taught using a modified Moore method. Class time is primarily spent working collaboratively to prove analytical properties of traffic flow theory, which is designed to advance your proof skills as well as their subject knowledge. Assignments emphasize the implementation of analytical concepts in software to facilitate dynamic network loading on city networks. After completing this course, you should have a deep analytical understanding of the standard traffic flow models as well as the skills to further develop them through independent research. 

This course provides an overview of civil air transportation system design and operations. After completing this course, you should be able to describe the operations of civil transport aircraft from the pilot, company, and air traffic control perspectives; conduct basic economic analysis on airline operations and demand; conduct capacity analysis for airspace and airports; and conduct basic optimization for air transportation operations. This course will prepare students for working with the civil aviation industry.