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OPMT 3197 - Management Science

Operations Management Part-time Studies Course

School of Business

Course Details

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.


OPMT 1197 with a minimum grade of 65% or an equivalent college level Business Stats course with a minimum B grade, Accessibility to and basic knowledge of personal computers. The following calculator is required for this course: BA II Plus / Financial Calculator by Texas Instruments




$596.68 - $619.09 See individual course offerings below for actual costs.

Fall 2019

Below is one offering of this course for the Fall 2019 term.

CRN 43890

Thu Sep 05 - Thu Dec 05 14 Weeks

Class Meeting Times

Dates Days Times Locations
Sep 05 - Dec 05 Thu 18:00 - 21:30 BBY SE06 Rm. 105


Sam Choo

Course Outline



This course offering is in progress. Please check this page for other currently available offerings or subscribe to receive email updates.

In Progress

Winter 2020

Below is one offering of this course for the Winter 2020 term.

CRN 84363

Tue Jan 07 - Tue Apr 07 14 Weeks

Class Meeting Times

Dates Days Times Locations
Jan 07 - Apr 07 Tue 18:00 - 21:30 BBY NE01 Rm. 334



Course Outline

TBD – see Learning Outcomes in the interim




  1. No class on Monday, Feb 7th and Monday, April 13th

1 seat remaining as of Nov 21, 2019 2:53 am (PST). Availability may change at any time.

Learning Outcomes

Upon successful completion of the 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.


  • 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 2016

Programs and courses are subject to change without notice.

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English Language Proficiency

BCIT's Part-time Studies English Language Proficiency Standard is English 12 (or equivalency). Students who do not meet this requirement should upgrade their English skills prior to any future registration.

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Registration News

Registration is now open for the Winter 2020 term.

Classroom Locations

Classroom locations are subject to last minute changes. Please check the Part-time Studies Classroom Locations listing at on the first day of any course you are registered for.

Part-time Studies Financial Aid

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