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Prescriptive Analytics and Simulation
This course provides an overview of prescriptive analytics and simulation techniques important to developing solutions to business problems. This course will take a problem-driven approach to developing students' skills in applying decision trees, decision tables, linear programming, and Monte Carlo and discrete event simulation techniques applied to real-world problems. Students will be required to do problem formulation, develop applications and implement problem solutions using industry-standard software tools.
Weekly Contact: Lab: 1 hr. Lecture: 2 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1
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*List may not include courses that are on a common table shared between programs.