To support you and your education, BCIT is adapting applied learning in formats appropriate to the unfolding global situation. All PTS classes are being delivered in an online format unless you are notified otherwise.
Presents a second course in the application of statistical methods to business problems. The course will provide detailed theoretical understanding and practical applications of two of the most commonly used techniques in mathematical modeling Linear Regression and Time Series Analysis. You will learn how to view business situations as mathematical models and formulate the equations required for the model solution. Extensive lab work using computer software will lead to theoretical solutions. You will then learn how to interpret these solutions as a guide to practical management action. The course provides the opportunity to use and evaluate current software.
Acceptance into the Bachelor of Business Administration program.
Enrollment is restricted to students accepted into the Bachelor of Business Administration Degree Program. Registration approval is automatically given upon full acceptance into the part-time program. Please note that this is an online course with no synchronous component, and the final exam will be held remotely July 27.
This course offering is in progress and full. Please check back next term or subscribe to receive email updates.
In Progress and Full
Upon successful completion of this course the student will be able to:
Use smoothing methods such as moving averages, exponential smoothing, Holt's and Holt-Winters' methods to predict time series.
Use a scatter plot to identify trend or seasonality in a time series.
Choose an appropriate forecasting method based on the characteristics of a time series.
Use a runs test to determine if a time series has the characteristics of a random walk series.
Forecast a series where appropriate using the random walk model.
Use linear regression to forecast or model business situations.
Evaluate the validity of linear regression in a given situation.
Assess the usefulness of linear regression in a given situation.
Select the most appropriate method for forecasting or modelling in a given situation.
Interpret the meaning of the coefficients and statistics generated by different mathematical models.
Analyse business mathematical models using Microsoft Excel 2002 (XP) together with add-ins provided.
Convert theoretical solutions into practical management terms.
Effective as of Fall 2015
OPMT 8751 is offered as a part of the following programs:
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