IE 4130: Stochastic Modeling, Analysis and Simulation
Credits: 4. Contact Hours: Lecture 3, Discussion 1.
Prereq: MATH 2650 and STAT 2310
Development of probabilistic models and simulation models using a simulation language. Fitting of parametric distributions to data. Introduction to Markov processes and queueing models. Model output analysis and utilization for improved decision-making. Application of models to engineering design of effective and efficient manufacturing and service systems.
(Typically Offered: Fall)