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Unit of study_
QBUS5002: Quantitative Methods for Accounting
Accountants in the workplace need to be familiar with effective techniques for dealing with business data. This unit uses spreadsheet tools and accounting examples to introduce the most important data analysis methods. The unit helps students understand variability and detect when a variation is random and when something significant is going on. This unit also enables students to uncover the relationships between variables that can be hidden in business data. Students learn how to look at accounting data and use it to forecast business performance. Students are also given examples of the misuse of statistics in an accounting context. The unit is taught through data-driven examples, exercises and business case studies.
| Code | QBUS5002 |
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| Academic unit | Business Analytics |
| Credit points | 6 |
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Prerequisites:
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None |
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Corequisites:
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None |
| Prohibitions:
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ECMT5001 or QBUS5001 |
| Assumed knowledge:
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Students should be capable of reading data in tabulated form, working with Microsoft EXCEL, and doing High School level of mathematics |
At the completion of this unit, you should be able to:
- LO1. demonstrate an integrated understanding of key concepts and techniques in applying statistical analysis in real business and accounting applications
- LO2. question, assess and respond independently and creatively to assumptions, propositions and debates related to the application of statistical analysis
- LO3. analyse quantitative business and accounting data and solve related problems, and use evidence and findings to formulate strategically appropriate solutions
- LO4. use a range of communications strategies individually and to reach an agreement with others about appropriate responses to complex problems within the field of quantitative analysis for accounting
- LO5. Work collaboratively within the context of the group project to address complex problems within the field of quantitative analysis for accounting
Unit outlines
Unit outlines will be available 1 week before the first day of teaching for the relevant session.
- Semester 1, 2023 [Normal day] - Camperdown/Darlington, Sydney
- Semester 1, 2023 [Normal day] - Remote
- Semester 2, 2023 [Normal day] - Camperdown/Darlington, Sydney
- Semester 1, 2020 [Normal day] - Camperdown/Darlington, Sydney
- Semester 2, 2020 [Normal day] - Camperdown/Darlington, Sydney
- Semester 1, 2021 [Normal day] - Camperdown/Darlington, Sydney
- Semester 1, 2021 [Normal day] - Remote
- Semester 2, 2021 [Normal day] - Remote
- Semester 2, 2021 [Normal day] - Camperdown/Darlington, Sydney
- Semester 1, 2022 [Normal day] - Remote
- Semester 1, 2022 [Normal day] - Camperdown/Darlington, Sydney
- Semester 2, 2022 [Normal day] - Remote
- Semester 2, 2022 [Normal day] - Camperdown/Darlington, Sydney
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