Course List

CE 252. Data Science for Civil Engineers, Fall 

Undergraduate introductory course on the probability theory and statistical inference and their applications to Civil & Environmental Engineering (CEE) dataset; data reduction and sampling; set theory; probability theory; random variables and expectation; statistical inference; supervised and unsupervised learning algorithms. Application to a CEE dataset with python codes. Additional topics may be covered on data analysis of different domains of CEE. 

CE 452. Advanced Transportation System Analysis, Spring (co-listed in GSDS)

Focus on transportation system modeling and analysis with multi-disciplinary approach. Topics vary by semesters. Past topics include driver detection with electro-physical sensory data, 3D urban geospatial analysis, large-scale traffic safety data analytics, traffic management principles, advanced regression analysis, convex optimization, microeconomics and decision analysis.

CE 545. AI + Transportation System, Fall (co-listed in GSDS)

Project oriented graduate level course with emphasis on AI applications both to the traditional and emerging transportation system with spatio-temporal elements. Lectures include linear algebra, probability, algebraic topology, information theory, computational statistics, machine learning basics. Several case studies will be explored and discussed. Students are encouraged to bring their own study cases.