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
QMS 210 or QMS 202 or QMS 204 or in the 2-year BTM Public Ontario College Diploma Graduate Program
Mentioned in the Following Calendar Pages
*List may not include courses that are on a common table shared between programs.