In Progress
Please note that this Unit Profile is still in progress. The content below is subject to change.Overview
With today’s digitisation and technology development, many organisations can easily collect and consolidate tremendous amounts of data and store them in databases and data warehouses. In this unit, you will use various computational techniques and/or methods to evaluate and analyse “big” data in real-time for trends, patterns, classification, relationships, and other useful information. You will learn how to examine data sets for statistical inference and conduct quantitative and qualitative analysis, predictive modelling, regression, data mining, and optimisation. You will also use these analyses in relation to evaluating your proposed solution to a workplace problem. In addition, this unit is designed to develop critical thinking, problem-solving and communication skills fundamental to business law, business ethics and the ethical use of data. You will demonstrate your ability to analyse legal and ethical issues in a business context and apply your legal knowledge to make informed business decisions.
Details
Pre-requisites or Co-requisites
Pre-requisite - BUSN11018 Business ImprovementPre-requisite - BUSN11019 Business Systems and TechnologyCo-requisite - BUSN11021 Business Automation and Improvement Processes
Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).
Offerings For Term 2 - 2024
Attendance Requirements
All on-campus students are expected to attend scheduled classes – in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).
Recommended Student Time Commitment
Each 12-credit Undergraduate unit at CQUniversity requires an overall time commitment of an average of 25 hours of study per week, making a total of 300 hours for the unit.
Class Timetable
Assessment Overview
Assessment Grading
This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of ‘pass’ in order to pass the unit. If any ‘pass/fail’ tasks are shown in the table above they must also be completed successfully (‘pass’ grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the ‘assessment task’ section (note that in some instances, the minimum mark for a task may be greater than 50%). Consult the University’s Grades and Results Policy for more details of interim results and final grades.
All University policies are available on the CQUniversity Policy site.
You may wish to view these policies:
- Grades and Results Policy
- Assessment Policy and Procedure (Higher Education Coursework)
- Review of Grade Procedure
- Student Academic Integrity Policy and Procedure
- Monitoring Academic Progress (MAP) Policy and Procedure – Domestic Students
- Monitoring Academic Progress (MAP) Policy and Procedure – International Students
- Student Refund and Credit Balance Policy and Procedure
- Student Feedback – Compliments and Complaints Policy and Procedure
- Information and Communications Technology Acceptable Use Policy and Procedure
This list is not an exhaustive list of all University policies. The full list of University policies are available on the CQUniversity Policy site.
Feedback, Recommendations and Responses
Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.
Feedback from direct from students
Review volume of content
Revised the content to ensure the authenticity and relevance to the students.
- Analyse and reflect on key concepts of business analytics, including the ethical use of data
- Apply quantitative and qualitative tools and techniques to identify, analyse, and investigate data, as well as to assess proposed business problems
- Describe the fundamentals of business law and ethics that support the analysis of legal issues in a business context
- Communicate business advice/solutions and business risk management in legal and ethical issues commonly encountered within business situations
- Identify and explain different business structures and liability to business owners and other stakeholders
- Associate a variety of business systems and technology that are able to evaluate and analyse huge sources of data in real time for trends, patterns, classification, relationship, and other useful information.
Alignment of Assessment Tasks to Learning Outcomes
| Assessment Tasks | Learning Outcomes | |||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | |
| 1 - Portfolio - 0% | ||||||
| 2 - Reflective Practice Assignment - 50% | ||||||
| 3 - Report - 50% | ||||||
Alignment of Graduate Attributes to Learning Outcomes
| Graduate Attributes | Learning Outcomes | |||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | |
| 1 - Communication | ||||||
| 2 - Problem Solving | ||||||
| 3 - Critical Thinking | ||||||
| 4 - Information Literacy | ||||||
| 5 - Team Work | ||||||
| 6 - Information Technology Competence | ||||||
| 7 - Cross Cultural Competence | ||||||
| 8 - Ethical practice | ||||||
| 9 - Social Innovation | ||||||
| 10 - Aboriginal and Torres Strait Islander Cultures | ||||||