Graduate Courses

Deep Learning for Engineering Applications

Course Description: This course introduces the principles of deep learning with a focus on engineering applications. Specific topics include deep learning basics, convolutional neural networks, sequences and recurrent neural networks, and graph neural networks.

Avg. Course Evaluations: 96%

Advanced Transportation Engineering

Course Description: This course focuses on theory and practice in transportation decision-making and planning through 1) an introduction to mathematical modeling principles (including optimization and statistics), 2) trip-based models for transportation demand analysis (including models of trip generation, trip distribution, trip mode choice, and trip assignment and network modeling), and 3) introduction to tour- and activity-based models for transportation demand analysis.

Avg. Course Evaluations: 95%

Infrastructure Asset Management

Course Description: This course focuses on the statistical, optimization, and data-driven methods and their applications to the 1) condition health monitoring, 2) future condition prediction, and 3) optimal maintenance and rehabilitation decision making, for the management of transportation infrastructure systems (for example, road and airport pavements, bridges, and rail tracks).

Avg. Course Evaluations: 91%

Undergraduate Courses

Transportation Engineering

Course Description: This course introduces principles of transportation engineering and traffic analysis in lecture and lab formats. The covered topics include 1) introduction to transportation systems, 2) fundamentals of traffic flow and queuing theory, 3) highway capacity and level of service analysis, 4) traffic control and analysis at signalized intersections, and 5) travel demand and traffic forecasting.

Avg. Course Evaluations: 89%

Highway Engineering

Course Description: This course introduces principles of highway geometric and pavement design, including 1) road, vehicle, and user characteristics, 2) highway geometric design (including horizontal and vertical elements), 3) highway earthwork volumes, 4) highway pavement design (including flexible and rigid pavements), and 5) intersections, interchanges, and grade separations.

Avg. Course Evaluations: 94%