Discrete Event Simulation Modeling and Analysis

ISYE-4290

Introduction to discrete-event simulation modeling and analysis techniques including; graphical simulation modeling approaches, animation techniques, modeling large-scale and complex systems, pseudo-random number and random variate generation, stochastic processes, input modeling (data collection, analysis, and fitting distribution), output analysis (initial bias and termination bias, variance reduction techniques), sensitivity analysis, design of experiments, interactive simulation-based decision-support systems.

4 credits

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2023
Discrete Event Sim Modeling (4c)
  • Nima Ahmadi
Seats Taken: 14/30
2022
Discrete Event Sim Modeling (4c)
  • Nima Ahmadi
Seats Taken: 37/50
2021
Discrete Event Sim Modeling (4c)
  • Rostyslav Korolov
Seats Taken: 37/50
2020
Discrete Event Sim Modeling (4c)
  • Rostyslav Korolov
Seats Taken: 36/30
2019
Discrete Event Sim Modeling (4c)
  • Cheng Hsu
Seats Taken: 22/35
Discrete Event Simulation, Modeling And Analysis (4c)
  • Rostyslav Korolov
Seats Taken: 26/35
2018
Discrete Event Sim Modeling (4c)
  • Cheng Hsu
Seats Taken: 24/35
2017
Discrete Event Sim Modeling (4c)
  • Cheng Hsu
Seats Taken: 30/35
2016
Discrete Event Sim Modeling (4c)
  • Cheng Hsu
Seats Taken: 18/35
2015
Discrete Event Sim Modeling (4c)
  • Cheng Hsu
Seats Taken: 17/35
2014
Discrete Event Sim Modeling (4c)
  • Wai Kin Chan
Seats Taken: 52/50
2013
2012
2011
Discrete Event Sim, Modeling (3c)
  • Cheng Hsu
Seats Taken: 38/40
Discrete Event Simulation, Modeling And Analysis (3c)
  • William John Foley
Seats Taken: 8/40
2010
2009
2008
2007
2006
2005
2004
2003
2002
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1999
1998