I am offering two new courses at UCI this 2023-2024 academic year: CEE 298 Transportation Data Analysis II & CEE 298 Energy, Data and Modeling. Undergraduate and graduate students interested in research that aligns with the STEER lab are encouraged to consider enrolling in CEE 199/CEE 299.
Pop-in Office Hours for Spring 2024 are in-person on Thursdays from 1-2 PM. Students with scheduling conflicts or needing additional support can request another time slot.
CEE 298 Transportation Data Analysis II (Winter 2024)
Course Description. The purpose of this course is to provide civil engineering students with a background in statistical methods tailored for the analysis of civil engineering data (including transportation, land use, and pollution). Students will learn about spatial econometrics, discrete choice modeling, and structural equation models. Emphasis will be placed on analyzing discrete choice and ordinal scale variables.
Student Learning Outcomes. Students will be able to identify an appropriate statistical model to represent a civil engineering problem of their choice. Students will be able to use R to analyze data. Students will interpret model results and discuss the implications to technical and non-technical audiences.
Course Prerequisites. CEE 224A (or equivalent statistical class); Graduate course (Elective); Upper-division undergraduates need instructor permission.
Note: This course will likely be offered again in Winter 2025.
CEE 298 Energy, Data and Modeling (Spring 2024)
Course Description. The purpose of this course is to provide civil engineering students with a background in energy topics and to connect their discipline with energy systems. Students will learn an overview of energy sources, electricity generation, and the intersection of various civil infrastructure systems with energy through data analysis and a survey of methodological approaches to construct systems models. The survey of models may showcase spatial econometrics, simulation, optimization, equilibrium, and decision analysis. Emphasis will be placed on analyzing research problems from the fields of transportation, power systems, and climate change.
Student Learning Outcomes. Students will learn how to construct a model of an energy-related system. Students will explain how civil infrastructure fits within the context of broader energy systems. Students will develop data-driven models to study research problems and write academic reports, which could form the basis for a publication.
Course Prerequisites. Graduate course (Elective); Upper-division undergraduates need instructor permission.
Note: This course will likely be offered again in Fall 2024.