Yueyue Fan is an associate professor in the Department of Civil and Environmental Engineering. She is also affiliated with the Institute of Transportation Studies and is a faculty member in the Applied Mathematics Graduate Program.
Her research focus is on network optimization, decision making under uncertainty, and transportation and energy infrastructure systems management. Her current research projects include risk management of transportation networks subject to nature hazards and optimal planning and operation of infrastructure systems for alternative energy such as biofuel from biowastes.
Using stochastic and dynamic system modeling and computational methods, her goal is to provide decision support for improving the efficiency, reliability, and sustainability of alternative energy system under the uncertain and evolving environment. She is leading the infrastructure system modeling thread of the Sustainable Transportation Energy Pathway (STEPS) Program on these research efforts.
ECI 16 Spatial Data Analysis (2)
Lecture—1 hour; laboratory—3 hours. Restricted to Civil Engineering and Biological Systems Engineering majors; non-majors accommodated on a spaceavailable basis. Computer-aided design and geographic information systems in civil engineering practice.
ECI 153 Deterministic Optimization and Design (4)
Lecture—3 hours; laboratory—3 hours. Prerequisite: Mathematics 21C, 22A, computer programming course; Applied Science Engineering 115 recommended. Operations research. Optimization techniques such as linear programming, dynamic programming, and non-linear programming. Applications in water, transportation, environmental, infrastructure systems, and other civil engineering disciplines through computer-based course projects.
ECI 250 Civil Infrastructure System Optimization and Identification (4)
Lecture—4 hours. Prerequisite: Mathematics 21C, 22A, programming course; Applied Science Engineering 115 and mathematical modeling course recommended. Applied mathematics with a focus on modeling, identifying, and controlling dynamic, stochastic, and underdetermined systems. Applications in transportation networks, water resource planning, and other civil infrastructure systems.
ECI 253 Dynamic Programming and Multistage Decision Processes (4)
Lecture—4 hours. Prerequisite: Mathematics 21C, 22A, programming course; Applied Science Engineering 115 recommended. Operations research. Optimization techniques with a focus on dynamic programming in treating deterministic, stochastic, and adaptive multistage decision processes. Brief review of linear programming and non-linear programming. Applications in transportation networks and other civil infrastructure systems.
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