As part of the formal assessment for the programme you are required to submit a Data Visualisation and Interpretation assignment. Please refer to your Student Handbook for full details of the programme assessment scheme and general information on preparing and submitting assignments.
After completing the module, you should be able to:
1) Evaluate methods of data visualisation in terms of presenting data in specific contexts.
2) Evaluate the effectiveness of data visualisation choices.
3) Apply data visualisation tools to present a complex dataset.
4) Understand the needs of an audience and tailor presentations to suit.
5) Present the findings of data analysis through a visual medium as part of a presentation.
6) Apply appropriate ‘story telling’ approaches to supplement visual media.
7) Communicate effectively both, verbally and in writing, using a range of media widely used in relevant professional context.
The communication of data through visual means is a subjective process. It is up to the presenter to help the audience to fully understand what is being shown, especially where they are not subject specialists. In this assessment, you will have the opportunity to critique the data presentation of another student to demonstrate your understanding of how to effectively communicate data.
A week before the submission deadline you will be provided with a copy of the poster along with either a recorded data presentation or a presentation deck, of another student on the programme. Applying the theory that you have learnt throughout the module, evaluate the methods used in terms of how well they communicate the data within the given context and evaluate the effectiveness of the data visualisation choices.
The evaluation of the work of others is not based upon your own preferences. Wherever you offer praise or constructive criticism you must support your points effectively with established theory. You are being assessed on your ability to evaluate the data presentation and your critique will not affect the grade allocated to the student whose work you are evaluating. The quality of your evaluation will contribute only to your own work.