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Advanced Computer Applications 2 for Finance FMGT 4720

Financial Management Course

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 builds upon the fundamentals of Excel learned at BCIT and in the students’ Finance and Accounting courses. It does so by approaching the subject of computer modeling from the perspective of an analyst who wishes to construct dynamic computer based models and scenarios which allow him/her to understand, and manipulate, the information associated with common financial and accounting problems. Rather than using the traditional lecture format, students will be expected to analyze various financial concepts and, on the basis of their analysis, construct a spreadsheet model which allows them to test hypotheses, compare the performance of alternative options under various scenarios and provide detailed information for the decision making process. In their project, students will be expected to design a working spreadsheet model based on a problem typically encountered in the assigned topic.

Prerequisite(s)

Credits

2.5

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, the student will be able to:

  • Understand how to use a spreadsheet in computer modeling.
  • Be capable of designing interactive and dynamic spreadsheet models based on common financial and accounting problems.
  • Learn how to provide managers, clients and colleagues with models which allow the testing of hypotheses and which allow the user to compare the performance of alternatives under various scenarios and which provide detailed information for the decision making process.
  • Be able to analyze and evaluate various opportunities using those models.

Effective as of Winter 2016

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