Business Modelling and Analysis
Duration
One Semester or equivalent
Contact hours
- 36 hours
On-campus unit delivery combines face-to-face and digital learning. For Online unit delivery, learning is conducted exclusively online.
2021 teaching periods
Hawthorn
| Higher Ed. Semester 2 | ||
|---|---|---|
Dates: Results: Last self enrolment: Census: |
Prerequisites
Nil
Corequisites
Nil
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.
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
Face to Face Mode:
Online: SOL
Student workload:
For all teaching and learning structures (both face to face and online), students are expected to spend an average of 150 hours per unit in total over the duration of the study period
This includes all:
• Scheduled teaching and learning events and activities (contact hours timetabled in a face-to-face teaching space) and scheduled online learning events (contact hours scheduled in an online teaching space), and
To be successful, students should:
• Read all prescribed materials and/or view videos in preparation for each class
• Attend and engage in all scheduled classes (face to face or online)
• Start assessment tasks well ahead of the due date, and submit assessments promptly
• Read / listen to all feedback carefully, and consider it for future assessment
• Engage with fellow students and teaching staff (don’t hesitate to ask questions)
Scheduled hours: Class (12 x 3 hrs)
Engaging with online content and discussions
For all teaching and learning structures (both face to face and online), students are expected to spend an average of 150 hours per unit in total over the duration of the study period
This includes all:
• Scheduled teaching and learning events and activities (contact hours timetabled in a face-to-face teaching space) and scheduled online learning events (contact hours scheduled in an online teaching space), and
• Non-scheduled learning events and activities (including directed online learning activities, assessments, independent study, student group meetings, and research)
• Read all prescribed materials and/or view videos in preparation for each class
• Attend and engage in all scheduled classes (face to face or online)
• Start assessment tasks well ahead of the due date, and submit assessments promptly
• Read / listen to all feedback carefully, and consider it for future assessment
• Engage with fellow students and teaching staff (don’t hesitate to ask questions)
Assessment
Online Tests (Individual) 20-30%
Assignment (Individual) 35-45%
Assignment (Individual) 35-45%
Presentation (Individual) 5-15%
Examination (Individual) 30-50%
Examination (Individual) 30-50%
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.