Untitled Stacked Page

EMIS

3361

STOCHASTIC MODELS IN OPERATIONS RESEARCH

Catalog Description

This course covers the formulation, solution, and application of models for decision-making under uncertainty and risk. Probabilistic and statistical methodologies - including decision analysis, queueing theory, stochastic process, Markov chains, and simulation models - are used to address problems in the design, management, and usage of efficient systems for producing goods and delivering services. Specialized software and spreadsheet add-ins will be used for model-building and problem-solving. There is a weekly one-hour laboratory. Prerequisite: EMIS 3340

Prerequisites

Instructor(s)

Goals

EMIS 3340

Dr. Eli Olinick

 

[EMIS Home] [Programs] [Courses] [Faculty] [Research] [Forms] [Executive/OnSite] [Advising]

Legal statements and disclaimers