ENGRCEE 221C
Transportation Systems Analysis III: Stochastic Simulation for Design of Mobility and Logistics Services
Fundamentals and applied methods for simulating stochastic and stochastic-dynamic transportation systems. Topics include uncertainty modeling of inputs, discrete-event simulation, programming simulation logic in Python, generating random variates, analyzing simulation outputs, experimental design, model verification and validation.
Topics
- uncertainty modeling of inputs
- discrete-event simulation
- programming simulation logic in Python
- generating random variates
- analyzing simulation outputs
- experimental design
- model verification and validation
Topics explicitly listed in official catalogue description
Prerequisites & course information
Fundamentals and applied methods for simulating stochastic and stochastic-dynamic transportation systems. Topics include uncertainty modeling of inputs, discrete-event simulation, programming simulation logic in Python, generating random variates, analyzing simulation outputs, experimental design, model verification and validation.
Sources
- Course catalogue ↗2026-2027