Unit Outline

AI and Big Data are popular buzzwords that are generating significant interest by businesses in today’s digital world. Business managers are increasingly investing in these technologies with the hope that automation and access to more data can lead to cost savings, create new business opportunities and sustain competitive advantages. This unit seeks to demystify AI and Big data for business managers and to engender critical reflection on the unintended consequences and ethical issues for businesses associated with the introduction of these emerging technologies.

Intended Learning Outcomes

As per the Assessment and Results Policy 1.3, your results will reflect your achievement against specified learning outcomes.

On completion of this unit, you will be able to:


1	Describe the local and global impact of AI and Big data on individuals, organisations, and society
2	Appraise AI technologies and cloud computing services for businesses.
3	Solve complex business problems using artificial intelligence and big data technologies.
4	Critically evaluate the ethical issues and risks associated with AI and big data for businesses.
5	Recommend appropriate approaches for the tactical implementation of AI and Big Data for businesses.

Requisites


REQUISITE TYPE	REQUISITES
Pre-requisite	BEA212 Fundamentals of Business Analytics

Alterations as a result of student feedback

How will I be Assessed?

For more detailed assessment information please see MyLO.

Assessment schedule


ASSESSMENT TASK #	ASSESSMENT TASK NAME	DATE DUE	WEIGHT	LINKS TO INTENDED LEARNING OUTCOMES
Assessment Task 1:	AI Solution Evaluation Report and Presentation	Week 5	35 %	LO1, LO2, LO4, LO5
Assessment Task 2:	Strategic AI and Big Data Evaluation Portfolio	Week 9	35 %	LO1, LO2, LO4, LO5
Assessment Task 3:	Analytics Implementation Plan Project	Week 13	30 %	LO3, LO4, LO5

Assessment details

Assessment Task 1: AI Solution Evaluation Report and Presentation

Task Description:

Students analyse a provided organisational scenario and evaluate the application of a machine learning or AI solution in addressing a business problem. The evaluation considers data use, organisational context, risks and ethical issues, and the extent to which the solution supports decision-making and strategic objectives. Students submit a written report and deliver an individual presentation communicating their findings and recommendations.

Task Length:

Report 1,500 to 2,000 words and individual presentation of approximately 10 minutes (recorded for online students).

Due Date:

Week 5

Weight:

35 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)


1	Describe the organisational context and explain the AI or big data application being used	LO1
2	Evaluate how the AI solution supports business objectives and decision-making	LO2
3	Critically evaluate the ethical issues and risks associated with AI and big data for businesses	LO4
4	Recommend appropriate approaches for the tactical implementation of AI and Big Data for businesses.	LO5

Assessment Task 2: Strategic AI and Big Data Evaluation Portfolio

Task Description:

Students undertake a strategic evaluation of an organisation’s adoption of an AI or big data solution. The assessment requires analysis of business value, strategic alignment, and the suitability of relevant AI technologies and cloud computing services. Students also critically evaluate ethical issues and risks, and propose recommendations for improvement. The assessment is submitted as a portfolio comprising an executive-style report, an individual presentation, and a peer review of another student’s work.

Task Length:

Executive report: 1,800 to 2,200 words Presentation: 8 to 10 minutes Peer review: approximately 300 words

Due Date:

Week 9

Weight:

35 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)


1	Evaluate strategic value, including local and global impacts on individuals, organisations, and society	LO1
2	Analyse the organisational context and appraise the suitability of the AI technology and any enabling cloud services	LO2
3	Critically evaluate the technology in terms of risks, challenges and ethical issues	LO4
4	Make recommendations based on your analysis and evaluation of the technology(ies).	LO5
5	Write a report based on your analysis and evaluation for management.	LO5

Assessment Task 3: Analytics Implementation Plan Project

Task Description:

Students develop a structured implementation plan outlining how an organisation can adopt and sustain an AI or big data solution. The assessment requires evaluation of organisational readiness and the design of an approach addressing people, process, technology, governance, and risk considerations. Students propose a practical solution to a business problem and communicate recommendations suitable for management decision-making.

Task Length:

Implementation plan report: 2,000 to 2,400 words (excluding references and appendices)

Due Date:

Week 13

Weight:

30 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)


1	Analyse organisational requirements and define the business problem to be addressed using AI or big data	LO3
2	Evaluate risks, governance, and ethical considerations associated with implementation	LO4
3	Present a coherent and justified implementation plan suitable for organisational decision-making	LO3, LO5

How your final result is determined

To pass this unit, you need to demonstrate your attainment of each of the Intended Learning Outcomes, achieve a final unit grade of 50% or greater, and pass any hurdle tasks.

Academic progress review

The results for this unit may be included in a review of your academic progress. For information about progress reviews and what they mean for all students, see Academic Progress Review in the Student Portal.

Submission of assignments

Where practicable, assignments should be submitted to an assignment submission folder in MYLO. You must submit assignments by the due date or receive a penalty (unless an extension of time has been approved by the Unit Coordinator). Students submitting any assignment in hard copy, or because of a practicum finalisation, must attach a student cover sheet and signed declaration for the submission to be accepted for marking.

Academic integrity

Academic integrity is about acting responsibly, honestly, ethically, and collegially when using, producing, and communicating information with other students and staff members.

In written work, you must correctly reference the work of others to maintain academic integrity. To find out the referencing style for this unit, see the assessment information in the MyLO site, or contact your teaching staff. For more detail about Academic Integrity, see Important Guidelines & Support.

Requests for extensions

If you are unable to submit an assessment task by the due date, you should apply for an extension.

A request for an extension should first be discussed with your Unit Coordinator or teaching support team where possible. A request for an extension must be submitted by the assessment due date, except where you can provide evidence it was not possible to do so. Typically, an application for an extension will be supported by documentary evidence: however, where it is not possible for you to provide evidence please contact your Unit Coordinator.

The Unit Coordinator must notify you of the outcome of an extension request within 3 working days of receiving the request.

Late penalties

Assignments submitted after the deadline will receive a late penalty of 5% of the original available mark for each calendar day (or part day) that the assignment is late. Late submissions will not be accepted more than 10 calendar days after the due date, or after assignments have been returned to other students on a scheduled date, whichever occurs first. Further information on Late Penalties can be found on the Assessments and Results Procedure.