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Simulation and Optimization for Business Analytics

Course Search > Management & Accounting > POMS.4060

Course No: POMS.4060-001; SIS Class Nbr: 14063; SIS Term: 3010
Course Status: Open

Course 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, Notes & Instructor

  • Prerequisites: POMS.3010 Operations Management.
  • Special Notes:
  • Section Notes: combined with POMS 4060 201
  • Core Codes: LDAY
  • Credits: 3; Contact Hours: 3
  • Instructor: Shahram Haydari
  • UMass Lowell Bookstore

When Offered & Tuition

  • T | 6:30 PM-9:20 PM EDT
  • Fall 2020: Sep 01 to Dec 18
  • Course Level: Undergraduate
  • Tuition: $1020
  • Note: There is a $30 per semester registration fee for credit courses.

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