Assessment 3 Information
| Subject Code: | TECH3200 | ||
| Subject Name: | Artificial Intelligence and Machine Learning in IT | ||
| Assessment Title: | The Machine Learning Solution for Business | ||
| Assessment Type: | Proposal | ||
| Word Count: | 1800 | Words | (+/-10%) |
| Weighting: | 40% | ||
| Total Marks: | 40 | ||
| Submission: | MyKBS | ||
| Due Date: | Week13 | ||
Your Task
Your third assessment requires you to analyse the supplied business case and understand the problem of the business so that you, as the subject matter expert in Machine Learning will write a solution proposal to highlight how your solution is suitable for supporting the business in several areas.
Assessment Description
Proposal is a formal written offer from a seller to a prospective sponsor. In this assessment, it is a solution proposal that you will write to advocate your ML solution and to convince the Board of the business that your solution is the best. Apart from understanding the business requirements in the business case, you will also need to conduct research on AI/ML including their benefits to the industry where the business is in, how AI/ML is going to support the specified areas highlighted in the business case. You need to have a good understanding of ML algorithms and applications used in modeling e.g., prediction.
The learning outcomes you will demonstrate in performing this assessment includes:
| LO1: | Evaluate artificial intelligence algorithms in information technology |
| LO2: | Analyse machine learning and common algorithms |
| LO4: | Create supervised and unsupervised machine learning algorithms |
Assessment Instructions Business Case
Your Super Store is a market leader in grocery retail. It has over 2000 stores nationwide covering most of the major cities. It is becoming more and more important to fulfill people’s daily grocery needs. Due to the significant growth of the business. The old Loyalty Program that has over 3 million members is no longer suitable to support the business. The board has decided to implement a new Loyalty Program (hint: it is like “Everyday “in Wool worth’s) to advance the business in various areas:
AI and Machine Learning are rapidly transforming many industries including grocery retail. Your Super Store’s competitors have quickly made the move to invest in trending AI technologies. To retain its market-leading position, the business would like to incorporate machine learning into the new Loyalty Program.
The CEO has appointed you as the subject matter expert in Machine learning knowing the algorithms and applications to work with the project team for the Loyalty Program.
Proposal
Before project funding can be approved, you are required to write a solution proposal to outline:
Referencing
Add your references (at least 5)on the last page using any professional and consistent styling.
Submission Instructions
Important Study Information
Academic Integrity and Conduct Policy
https://www.kbs.edu.au/admissions/forms-and-policies
KBS values academic integrity. All students must understand the meaning and consequences of cheating, plagiarism and other academic offences under the Academic Integrity and Conduct Policy.
Please read the policy to learn the answers to these questions:
https://www.kbs.edu.au/admissions/forms-and-policies
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Length Limits for Assessments
Penalties may be applied for assessment submissions that exceed prescribed limits.
Study Assistance
Students may seek study assistance from their local Academic Learning Advisor or refer to the resources on the MyKBS Academic Success Centrepage. Further details can be accessed at https://elearning.kbs.edu.au/course/view.php?id=1481
Please see the level of Generative AI that this assessment is Level 2 has been designed to accept:
Traffic Light | Amount of Generative Artificial Intelligence (Generative AI) usage |
Evidence Required | This assessment (✓) |
Level1 |
Prohibited: No Generative AI allowed This assessment showcases your individual knowledge, skills and/or personal experiences in the absence of Generative AI support. |
The use of generative AI is prohibited for this assessment and may potentially result in penalties for academic misconduct, including but not limited to a mark of zero for the assessment. | |
Level2 |
Optional: You may use Generative AI for research and content generation that is appropriately referenced.
See assessment instructions for details This assessment allows you to engage with Generative AI as a means of expanding your understanding, creativity, and idea generation in the research phase of your assessment and to produce content that enhances your assessment. I.e., images. You do not have to use it. |
The use of Gen AI is optional for this assessment.
Your collaboration with Generative AI must be clearly referenced just as you would reference any other resource type used. Click on the link below to learn how to reference Generative AI. https://library.kaplan.edu.au/referencing-other-sources/referencing-other-sources-generative-ai
In addition, you must include an appendix that documents your Generative AI collaboration including all prompts and responses used for the assessment. Unapproved use of generative AI as per assessment details during the content generation parts of your assessment may potentially result in penalties for academic misconduct, including but not limited to a mark of zero for the assessment. Ensure you follow the specific assessment instructions in the section above. |
✓ |
Level3 |
Compulsory:
You must use Generative AI to complete your assessment See assessment instruction for details This assessment fully integrates Generative AI, allowing you to harness the technology's full potential in collaboration with your own expertise.
Always check your assessment instructions carefully as there may still be limitations on what constitutes acceptable use, and these may be specific to each assessment. | You will be taught how to use generative AI and assessed on its use.
Your collaboration with Generative AI must be clearly referenced just as you would reference any other resource type used. Click on the link below to learn how to reference Generative AI.
https://library.kaplan.edu.au/referencing-other-sources/referencing-other-sources-generative-ai In addition, you must include an appendix that documents your Generative AI collaboration including all prompts and responses used for the assessment.
Unapproved use of generative AI as per assessment details during the content generation parts of your assessment may potentially result in penalties for academic misconduct, including but not limited to a mark of zero for the assessment. Ensure you follow the specific Assessment instructions in the section above. |
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