Assignment workshop: drafting, feedback and improvement

This week’s topics

Assignment workshop: drafting, feedback and improvement

1. Drafting against the criteria
2. Tutor and peer feedback
3. Improving the final submission

What you will be able to do

• 1.1 Explain common terminology in 'data analytics'.
• 1.2 Critically evaluate the use of data analytic methods.
• 1.3 Summarise the importance of data analytics for businesses.
• 2.1 Evaluate analytical model data preparation processes.
• 2.2 Critically evaluate potential issues in the preparation of data for use in an applied analytical model.
• 3.1 Critically evaluate methods to visualise the output from an applied analytical model.
• 3.2 Apply an appropriate programming language or tool to demonstrate how descriptive analytic techniques contribute to decision-making.
• 3.3 Apply an appropriate programming language or tool to demonstrate how predictive analytic techniques are used in forecasting future events.
• 3.4 Apply an appropriate programming language or tool to demonstrate how prescriptive analytic techniques are used to find the best course of action in a situation.

Activity

Draft the assignment, get feedback and improve it before submission.

Study materials

Further resources

• Writing Guide, 3.5: Peer review and using feedback · PDF · OpenStax, textbook chapter; pp. 92–94 · for registered students
• Supporting learners' agentic engagement with feedback: a systematic review · PDF · Reading, article · for registered students