Business Modelling and Analysis
Duration
One Semester or equivalent
Contact hours
- 24 hours face to face + blended
On-campus unit delivery combines face-to-face and digital learning. For Online unit delivery, learning is conducted exclusively online.
2023 teaching periods
Hawthorn Higher Ed. Semester 2 |
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Dates: Results: Last self enrolment: Census: Last withdraw without fail: |
Aims and objectives
This unit incorporates the application of statistical analysis tools to business problems, which is considered an essential skill for competitive advantage. This unit focuses on the application of statistical tools and concepts to real-world decision making in order to motivate students to learn, understand, utilise and communicate business statistics appropriately. To enhance students’ appreciation of the power of statistics emphasis is placed on calculator and computer based analysis. In particular this unit provides students with knowledge of statistical techniques and skills to analyse and interpret the results of statistical analysis.
Unit Learning Outcomes (ULO)
Students who successfully complete this unit will be able to:
2 Critically analyse financial data and solve contemporary business problems
3 Implement problem solving, design and decision making methodologies to analyse and interpret a range of statistical outcomes to find solutions for real world business problems
4 Apply coherent and advanced knowledge of probability and regression techniques to facilitate accounting and finance research
Unit information in detail
- Teaching methods, assessment and content.
Teaching methods
Hawthorn
Type | Hours per week | Number of Weeks | Total |
On Campus Class | 2 | 12 | 24 |
Online (asynchronous) lecture | 1 | 12 | 12 |
Unspecified Activities Independent Learning | 9.5 | 12 | 114 |
TOTAL | 150 hours |
Assessment
Types | Individual/Group Role | Weighting | Unit Learning Outcomes (ULOs) |
Assignment | Individual | 35-45% | 1,2,3,4 |
Examination | Individual | 30-50% | 1,2,3,4 |
Presentation | Individual | 5-15% | 1,2,3 |
Online Tests | Individual | 10-20 | 1,2 |
Content
- Introduction to Statistics
- Descriptive statistics
- Probability and the normal distribution
- Sampling and estimation
- Hypothesis Testing
- Regression and correlation
- Time series analysis and forecasting
- Business Analytics
- Data Analytics using Power BI and Python
Study resources
- Reading materials.
Reading materials
Students are advised to check the unit outline in the relevant teaching period for appropriate textbooks and further reading.