POMS.4060 Simulation and Optimization for Business Analytics

Id: 040943 Credits: 3-3

Description

Uncertainty manifests itself in most business dataset. Descriptive analytics tools help us explain the nature of the uncertainty that we have experienced, while predictive analytics tools further aid us in estimating outcomes for any given set of predictors. In this course, we cover simulation and optimization as prescriptive analytics methodologies. They take descriptive and predictive analytics results as input, helping us make managerial decision under such uncertainty. They are the art and science of creating and analyzing a model of real-world systems. This course covers business process design and analysis, simulation and optimization model development,and discrete-event simulation software application.

Prerequisites

Pre-Req: POMS.3010 Operations Management.

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Course prerequisites/corequisites are determined by the faculty and approved by the curriculum committees. Students are required to fulfill these requirements prior to enrollment. For courses offered through online or GPS delivery, students are responsible for confirming with the instructor or department that all enrollment requirements have been satisfied before registering.