BUSINESS SCHOOL Page 1 of 2 QBUS6600 Data Analytics for Business Capstone Semester 1, 2022 Assignment 3 (individual assignment) 1. Key information Required submissions: Written report (due: Friday, May 27). Weight: 30% of your final grade. Length: Your written report should have a maximum of 6 pages (single spaced, 11pt). Cover page, references, table of contents and appendix (if any) will not count towards the page limit. 2. Background You have worked on an industry project both individually and collaboratively with your peers. Now you have an opportunity to reflect on what you have done and what you have learnt from this semester-long project. For a general background on refection skills in business, please have a look at the following resource. 3. Outline of the written report and the marking scheme 1. Individual versus group investigation 15 marks 2. Contribution to the group a. Technical contribution b. Non-technical contribution 35 marks 3. Major difficulties 20 marks 4. Ethical considerations 15 marks 5. What could be done differently 15 marks Total 100 marks Please use the above outline for your report (you are welcome to break down the longer sections into smaller subsections). Please note that for this particular assignment the above outline is required rather than suggested. BUSINESS SCHOOL Page 2 of 2 4. Rubric (basic requirements) and further details Individual versus group investigation. Start with a brief introductory paragraph providing the context and background for the semester long project. Discuss how you applied the results and findings of your first individual assignment in your group project work. Explain why your findings were helpful to the group. If your results or findings were not adopted in the group project, reflect critically on why this happened and explain how the group achieved consensus. Contribution to the group work. Discuss your contribution (both technical and non- technical) to the group project. Critically reflect upon your role within the group. Discuss the tasks (both technical and non-technical) that you were responsible for and highlight the work that you hav
e done. Explain how your contributions benefited the group. If your technical contribution was minimal, you should also reflect on why this was the case and discuss what technical skills you would like to improve. Major difficulties. Discuss and reflect on the main difficulties or complications that you and your group faced in your work on the project. Explain how you overcame the difficulties and highlight your own contribution. The complications can be technical, non-technical, or both. Ethical considerations. Discuss potential ethical problems with the data that has been collected for your project. If you see no problems, discuss potential ethical problems that may come up in the future if more data is collected. Offer recommendations to Movember, Screen Australia or Sherpa on how to avoid or overcome these problems. What could be done differently. Discuss what you would do differently if you had the opportunity to re-consider this project as a data scientist at Movember, Screen Australia, or Sherpa. Explain why the changes would be beneficial. Discuss what you would like to investigate further and how this investigation would benefit your organization. General requirements that apply to all sections. Your writing should be clear, precise, and free of grammatical and spelling errors. Your paragraphs and sentences should follow a clear logic and be well-connected. Your report should be well-organised and professionally presented. There should be clear divisions between sections and paragraphs. If you use any tables or figures, they should be appropriately formatted and clearly presented. They should not contain irrelevant information and should be placed near the relevant discussion in your report. You should follow the University of Sydney referencing rules and guidelines. Your reflection should be critical, sound, and logical. You should explain things clearly with specific examples, drawing clear conclusions based on analysis and well-grounded arguments. 7. Late Submission of the report Late submissions are subject to a deduction of 5% of the maximum mark for each calendar day after the due date. After ten calendar days late, a mark of zero will be awarded.