- International Fees
International fees are typically 3.25 times the domestic tuition. Exact cost will be calculated upon completion of registration.
Course Overview
This course provides students with an introduction to an area of management science that is sometimes called quantitative methods or operations research. The objective of this course is to have students develop an appreciation of the management science approach to problem formulation and solution that is now so important in today’s business and industrial sectors. The course focuses on quantitative approaches to decision making and introduces a variety of management sciences models, methods, and procedures. The major areas of study are linear programming (LP), simulation modeling, and forecasting.
Prerequisite(s)
- OPMT 1197 or an equivalent college level Business Stats course. Accessibility to and basic knowledge of personal computers.
Credits
4.0
- Not offered this term
- This course is not offered this term. Notify me to receive email notifications when the course opens for registration next term.
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Linear Programming
- Use graphical solution procedures for LP problems with only two variables to understand how LP problems are solved.
- Understand how to setup LP problems in a spreadsheet and solve them using Excel Solver.
- Model a wide variety of LP problems: Understand major business application areas for LP problems such as manufacturing, marketing, labour scheduling, blending, transportation, and multi-period planning.
- Formulate Integer Programming (IP) models; setup and solve IP problems using Excel Solver.
- Monte Carlo Simulation
- Explain the advantages and disadvantages of simulation.
- Tackle a variety of problems using Monte Carlo simulation, such as NPV/IRR models, expected profit models, and models for operational decisions and policies.
- Setup and solve simulation models using Excel’s standard functions.
- Forecasting
- Understand and know when to use various families of forecasting models (qualitative models versus time series models).
- Develop stationary models: moving averages, weighted moving averages, and exponential smoothing.
- Develop a simple linear regression trend model. Students will be exposed to seasonality models, but they will not be covered in depth.
Effective as of Fall 2020
Related Programs
Quantitative Methods for Business (OPMT 3301) is offered as a part of the following programs:
- Indicates programs accepting international students.
- Indicates programs eligible for students to apply for Post-graduation Work Permit (PGWP).
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Programs and courses are subject to change without notice.