IEMS 317: Discrete-Event System Simulation

Quarter Offered

Fall : MWF 2:00-2:50 (Lab: TH 11:00, 12:30) ; Nelson
Winter : MWF 10:00-10:50 (Lab: T 11:00, 12:30) ; Nelson


IEMS 303; 310 or 315


Computer simulation of discrete-change systems subject to uncertainty. Choice of input distributions; development of models; design and analysis of simulation experiments. Miniprojects, exams, and computer labs.

  • This course is a major requirement for Industrial Engineering


  • Develop complex simulation models of real or conceptual systems subject to risk
  • Design an effective simulation experiment to be run on the model
  • Analyze, interpret and communicant the simulation results
  • Manage simulation projects


  • Spreadsheet and systems simulation
  • Selecting probability distributions with and without data
  • Measures of risk and error
  • Experiment design
  • Assessing sensitivity and model risk
  • Random-number and random-variate generation
  • Simulation optimization
  • Reporting simulation results


  • W. David Kelton, Jeffrey S. Smith, David T. Sturrock. 2014. Simio and Simulation: Modeling, Analysis, Applications, 3rd edition. ISBN 13: 9780073408927  (color e-book $29)
  • Course pack with lecture notes and labs (approximately $20).