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Quantitative Methods for Managers OPMT 5515

Operations Management Course

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International Fees

International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.

Course details

This course emphasizes the use of decision-making models in business. Students will learn to use quantitative methods to choose alternatives in the decision-making process. Software applications (spreadsheets and databases) will be used to support the decision-making process.

Prerequisite(s)

  • No prerequisites are required for this course.

Credits

4.0

Not offered this term
This course is not offered this term. Please check back next term or subscribe to receive notifications of future course offerings and other opportunities to learn more about this course and related programs.

Learning Outcomes

Upon successful completion of this course, the student will be able to:

  • Apply descriptive statistics and basic probability theory to management science models.
  • Compare decision-making techniques including: Decision Analysis, Forecasting Methods including Simple Regression, Time Series, Linear Programming and basic Inventory models.
  • Construct and interpret a confidence interval estimates for a single population means or proportions using the appropriate standard normal or t distributions.
  • Manipulate data between databases and spreadsheets.
  • Carry out a hypothesis test comparing one or two population means or proportions.
  • Import data into a spreadsheet and carry out a statistical analysis of the data.
  • Manipulate data between databases and spreadsheets.
  • Import data into a spreadsheet and carry out a statistical analysis of the data.

Effective as of Winter 2020

Related Programs

Quantitative Methods for Managers (OPMT 5515) is offered as a part of the following programs:

  • Indicates programs accepting international students.
  • Indicates programs with a co-op option.

School of Business + Media

  1. Business Management - Advanced Diploma
    Advanced Diploma Full-time/Part-time

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