Systems and Computer Engineering (SYSC)
Department of Systems and Computer Engineering
Faculty of Engineering
SYSC 4005 [0.5 credit]
Discrete Simulation/Modeling
Simulation as a problem solving tool. Random variable generation, general discrete simulation procedure: event table and statistical gathering. Analyses of simulation data: point and interval estimation. Confidence intervals. Overview of modeling, simulation, and problem solving using SIMSCRIPT, MODSIM, and other languages.
Also offered at the graduate level, with additional or different requirements, as
SYSC 5001, for which additional credit is precluded.
Prerequisite: (
STAT 2605 or
STAT 3502) and fourth-year status in Engineering, or permission of the Department.
Lectures three hours a week, laboratory one hour a week.