Simulation and Modeling (CSC328) — Notes, Syllabus & Past Questions

Using mathematical models to simulate real-world systems on a computer.

Core Course8 Chapters

System components, discrete/continuous models, simulation study phases, differential equation models.

Analog/digital-hybrid simulation, discrete-event simulation, simulation clocks, arrival processes, and Monte Carlo simulation.

Queuing structures, single/multiple server queues, network queuing, and performance measurements.

Features, process states, transition matrices, and system applications.

Pseudo-random properties, generation techniques, uniformity/independence tests, and random variate generation.

Model calibration, 3-step validation approach, and model accreditation.

Confidence intervals, hypothesis testing, run statistics, and initial bias elimination.

Simulation tools, GPSS language, case studies, and sample model constructions.

Related Study Resources for Simulation and Modeling (CSC328)