This course is developed with the aim of preparing graduate students to obtain fundamental understanding on the data science concepts and practical skills in Python programming for analyzing databases in disciplines such as civil, mechanical, and electrical engineering. In particular, this course introduces students to scaling laws, Zipf’s law, regression analysis, agent-based modeling, network science, probability for data mining, k-nearest neighbor algorithm, clustering analysis, fisher information, decision tree learning and ensemble learning, neural networks and deep learning, principal component analysis, support vector machine, and network-based frequency analyses.
This course aims to introduce graduate students to conceptual underpinnings of methods applied in transportation decision-making, planning, and modeling as well as implications of the methods on the real-world transportation-related problems. In particular, this course provides an introduction to advanced concepts of transportation mathematical modeling (including statistics and optimization), trip-based models for transportation demand analysis and forecast (including trip generation; trip distribution; modal split; and trip assignment), and tour- and activity- based models.
With the aim of introducing students to transportation engineering within the broader field of civil engineering, this course is redesigned to prepare student for gaining fundamental knowledge on principles of transportation engineering and traffic analysis. Through learning both theory and practice, students learn to apply the principles and the approaches to solve real-world transportation-related problems. The topics covered are:
introduction to transportation and traffic engineering
the role of transportation and traffic engineering in economy and society
highway traffic theories
highway capacity analysis
traffic control systems
introduction to transportation planning and travel demand analysis and forecast
This course introduces senior students to both theory and practice in highway engineering and pavement design. In particular, the topics covered in this course are:
transportation and highway engineering within the broader field of civil engineering
fundamentals of highway system components: Vehicles, roads, and road users
highway geometric design
highway earthwork volumes
highway pavement design
pavement management for maintenance and rehabilitation of highway pavement systems