You will undertake two (2) quizzes on Moodle throughout the term. The quizzes will assess your knowledge of the lecture content and tutorial activities. Some questions may require you to use software, e.g., software demonstrated in lectures and /or used in tutorial activities. Each quiz will consist of multiple questions which may be of various types (e.g., multiple-choice, matching etc.). All quizzes are individual assessments. The two quizzes will be conducted differently:

Quiz 1 will be conducted online. You will have a set period of time during Week 4 to complete the Quiz. The quiz has time limits. The quiz time limits, topics, and open/close times can be found on Moodle.

Quiz 2 will be conducted in-class, in the 1st hour only, under the supervision of your tutor. You must attend your allocated tutorial class in Week 10. Online students will need undertake Quiz in a Zoom session in week 10 (During the scheduled Online tutorial). Online students will need access to a webcam, speakers and microphone (e.g., headset).

You will not be allowed to take a quiz at any time outside of the specified open/close time unless an Assessment Extension Request is approved. In Quiz 2, if you arrive late for class, you will not be granted extra time. Changes to quiz time can only be granted with approval by the Unit Coordinator.

While quizzes will be open-book (e.g., you can use lecture slides), you will be expected to produce the answers yourself. That is, you are not allowed to communicate with others during the quiz (including other students or people online). 

You are assumed to have a working computer and Internet connection during term, and especially during times when attempting a quiz. Technical problems, such as a computer crash or loss of Internet connection, will not usually be a reason for an extra attempt or extension. You are expected to prepare your computer before the quiz starts. If problems outside of your control occur during a quiz, report immediately to your tutor, who may either extend the time or allow you to undertake the quiz at another time (with the Unit Coordinator's approval).

Quiz 1: AI ASSESSMENT SCALE – AI PLANNING 

You may use Al to assist with specific tasks such as drafting text, refining and evaluating your work. You must critically evaluate and modify any Al-generated content you use.

Quiz 2: AI ASSESSMENT SCALE - NO AI

You must not use AI at any point during the assessment. You must demonstrate your core skills and knowledge.

Quiz 1 is exempt from the 72-hour submission grace period and must be completed by the stated submission date/time.

Quiz 2 is exempt from the 72-hour submission grace period and must be completed in the first hour of your Week 10 tutorial class.

There are two (2) quizzes, split as follows

• Quiz 1: 10 % 
• Quiz 2: 10 %

Total: 20 marks 

This assessment is aligned with Learning Outcomes 1, 2, and 3 and is an individual task. It must be submitted in Week 5.

For this assessment, you will complete data manipulation exercises using Power BI, enabling you to gain insights from data through interactive visualisations. Each week, you will be presented with a data-related challenge and explore Power BI’s data visualisation capabilities to analyse and interpret the data.

This assessment is designed to strengthen your understanding of data formats, retrieval methods, and analysis techniques. Details of the challenges will be provided via the Moodle unit website in Week 2.

This assessment contributes 30% of the total module marks.

AI ASSESSMENT SCALE – AI PLANNING 

You may use AI for planning, idea development, and research. Your final submission should show how you have developed and refined these ideas.

For example, you can use AI to explore data visualisations and explanations. 

You must not use AI to write your project report. You must complete all practical tasks yourself (e.g. Data Analysis Expression (DAX) function, create a bar chart).

The assessment will be evaluated based on the following criteria:

• Knowledge and Understanding – Demonstrates a clear understanding of the topic and the given problem.
• Analytical Skills and Technical Literacy – Uses appropriate analysis techniques to interpret data effectively.
• Discussion and Justification – Evaluates the relevance of the findings based on the analysis.
• Referencing and Citation – Properly includes references and citations where necessary.

Mark Distribution 

Submitted screenshots of all questions – 5 marks
Analysis of the generated output – 20 marks
Quality of the written report – 5 marks

Total: 30 marks

This is an individual assessment and contributes to Learning Outcomes 1, 3, 4 and 5. This report will follow a standard business report format and the report template will be provided via Moodle.  You will be investigating how you might advise an organisation, whose details are given in the case study on data processing, data analysis and to provide the organisation with meaningful insights into their data. You will also be developing an analytical dashboard using Power BI for the organisation and show your analysis on the developed dashboard. The assessment will be marked out of a total of 100 marks and form 30% of the total marks for the unit.

Please refer to the module’s Moodle site for a detailed description of the task.

AI ASSESSMENT SCALE - AI PLANNING

You may use AI for planning, idea development, and research. Your final submission should show how you have developed and refined these ideas.

For example, you can use AI to explore data cleaning methods, dashboard layouts and understand the project.

You must not use AI to write your project report. You must complete all practical tasks yourself (e.g., Data processing, exploratory data analysis).

Your business report assessment will be evaluated based on the following criteria:

• Knowledge and Understanding – Demonstrates a strong understanding of the topic through the selection, analysis, and presentation of relevant data.
• Communication and Information Literacy – Effectively conveys insights with clear discussion, logical structure, and well-supported interpretations. 
• Technical Literacy – Showcases proficiency in selecting and integrating appropriate elements within the report, including data visualisation where applicable.
• Critical Discussion – Assesses the relevance, accuracy, and appropriateness of the included elements, particularly with respect to the dashboard.
• Referencing and Citations – Uses credible sources and correctly applies referencing standards to support findings.
• Report Structure and Presentation – Follows a professional structure with well-organised sections, proper formatting, and clear readability.
• Milestone –  Achieves key milestones in Week 5  and Week 9, ensuring the timely completion of specific report sections.

Report Structure

• Title Page – Includes report title, author name, student ID, and date of submission.
• Executive Summary – Provides a concise summary of key findings, insights, and recommendations.
• Table of Contents – Lists report sections with corresponding page numbers.
• Introduction – Outlines the background, purpose, scope, and objectives of the report.
• Data Preprocessing – Describes data cleaning and preprocessing steps with justifications.
• Analysis and Discussion – Interprets findings based on processed data and supported by evidence.
• Dashboard and Technical Components – Explains selected dashboard elements and their relevance.
• Conclusion and Recommendations – Summarises findings and provides actionable recommendations.
• References – Lists properly formatted citations following the required referencing style.
• Appendices (if applicable) – Includes additional supporting materials such as raw data, charts, or screenshots.

For a detailed description of the task and marks distribution, please refer to the unit's Moodle site.

This assessment aligns with Learning Outcomes 2 and 5. It is an individual recorded presentation based on your own work in Assessment 3, where you will showcase your personal contributions through an in-depth analysis of the study, emerging technologies, and relevant tools used to address the case study.

All students are required to deliver an oral presentation that includes:

• You can use either PowerPoint or Zoom to record your presentation (5-7 minutes) as long as your submitted file is in .mp4.
• You can ensure you turn ON the camera to show you, as a person, presenting your PowerPoint slides.
• A demonstration of the dashboard you developed in the Assessment.
• A clear explanation of your design choices, data insights and the tools or technologies used.
• The recorded video and PowerPoint slides must be submitted via Moodle by Monday Week 12.

AI ASSESSMENT SCALE – AI PLANNING 

You may use AI for planning, idea development, and research. Your final submission should show how you have developed and refined these ideas.               

The assessment will be evaluated based on the following key aspects of the presentation:

1. Analysis and Critical Thinking

• Demonstrates a well-reasoned and in-depth analysis of the case study within the given context.
• Critically evaluates and compares various tools, assessing their effectiveness and applicability.
• Clearly communicates the significance and impact of the findings, ensuring audience understanding.
• Effectively explains the individual contributions made to Assessment 3.

2. Presentation Structure and Content

• Begins with a strong and engaging introduction, clearly outlining the purpose and key thesis.
• The body of the presentation logically flows from the thesis, presenting information in a structured and coherent manner.
• The conclusion effectively summarises key insights and reinforces the overall argument.
•  Includes all necessary components: title slide, structured dashboard demonstration, summary/conclusion slides, and a properly formatted reference list.
  
  

3. Slide Design and Visual Presentation

• Uses concise, point-form content rather than full sentences.
• Slide numbers, footers, and minimal text enhance clarity and professionalism.
• Large font sizes and clear contrast between text and background ensure readability.
• Consistent colour schemes, fonts, and layouts contribute to a polished and professional appearance.
• Only relevant visual elements are included to support understanding.

4. Delivery and Engagement

• The presenter is well-prepared and confident.
• Maintains good posture, speaks clearly and audibly, and uses appropriate pacing.
• Effective eye contact with minimal reliance on cue cards (avoiding reading directly from slides or notes).
• Manages time efficiently, ensuring all key points are covered within the allocated timeframe.

5. Accuracy and Mechanics

• Ensures data, charts, and insights are accurately presented and clearly explained.
• Adheres to high standards of spelling, grammar, and referencing.
• Accurately responds to the questions posed by the lecturer/tutor and effectively uses the tool to demonstrate the required tasks.
   

Total: 20 marks