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Coursework Instructions

BEMM461 Analytics and Visualisation for Managers and Consultants

CW1 : Visualisation Critique Presentation  40%

CW2 : Final Visualisation Project  60%

Dr Shirley Atkinson November 2023

Deadlines:

· Visualisation Critique Presentation : 2nd November 2023

· Final Visualisation Project : 11th December 2023

1 Introduction

The instructions in this document cover the two parts of your coursework for this module.  The Visualisation Critique Presentation is worth 40% of the module mark, the Final Visualisation Project worth 60% of the module mark.

2 Visualisation Critique Presentation Video

Produce a 10-minute video presentation where you critique a visualisation project that you have chosen.  You can use up to 10 slides to help support your presentation.  You are not required to submit these slides in addition to the video.  The file type to be submitted must be a browser-compatible video format.

Using the established state of the art you are to critique your chosen visualisation, assessing the strengths and weaknesses of the visualisation.  This critical review must include appropriate theories from authoritative literature signposted from the module.  A basic answer will only cover the literature provided, a good answer will go beyond the given texts from the module having sought further reading around the topic.

Your face must be visible in your video.  Do not just talk over the slides.  You are presenting.

3 Hints and tips

Consider the audience the visualisation is addressing and the questions it aims to answer. Does the visualisation tell a clear and compelling story? Are the design choices made within the visualisation appropriate and, if not, then how could the visualisation have been more effective?

Link your critique to established data visualisation theory. For example, you could apply Tufte’s (2001) measures of effectiveness to the visualisation, you could describe and explain the extent to which the visualisation represents successful human-centred design (Norman, 2013) or you could apply Munzner’s (2014) 4 levels of validation to the visualisation.

However, only using these suggested authors will limit your work.  A good piece of work will go beyond these authors.

4 Final Visualisation Project

Your final project requires you to create a dashboard visualising key information for a scenario that you choose.  The dashboard is to be created using the Dash python framework.  No other implementation is acceptable.

Alongside your dashboard you are required to keep a reflective blog of your design process.  This should be a weekly summary of your thinking and decision making.  This blog will provide evidence of your design process.

The blog must be created on the ELE page for the module.  It is labelled CW2 : Individual Blog and can be found in the assessment section.

On completion of your dashboard you are to create a Jupyter Notebook for submission.  The template for this is provided with helpful guidance for each of the sections.  Please note the template guidance.

Note: CW2 : Final Visualisation Project submission point will only accept a Jupyter Notebook file – ipynb.

5 Hints and tips

You have a great degree of autonomy over the scope of this project.  You will start by considering your interest, skills and the kind of things you might want to learn or demonstrate to employers after the project is complete (i.e. if you are going into finance, you might consider a financial dashboard and it will be filled with time series; if you are interested in logistics and operations, you may consider a mapping and spatial project that shows linkages and movement of resources).

Search out publicly available data, or if you have access to a dataset ensure you have permission to share it.  There are many sources of data (e.g., the UK Data Service, Kaggle, Tidy Tuesday, Harvard Dataverse as well as many others).  You can scrape your own data as well, but it is strongly recommended that you use existing data and focus your time on designing your final project.

6 Jupyter Notebook and Blog

The notebook must reflect on your design process and your blog must record it.  Use your blog to save materials as you work on your project, from initial sketches, through first drafts to final.  These will help you as you reflect on your design decisions and write up your approach.

Explain the domain situation and the tasks you consider your users will want to perform when they use your project.  Provide an explanation of how your design choices help to provide for the needs of these users.  Explain your design choices in terms of the relevant threats to validity at each level.  Explain how you would evaluate your project and determine if it functions as expected.

7 Assessed Learning Outcomes

1. Demonstrate knowledge and understanding of fundamental, and domain-specific, analytics methods and tools.

2. Create, manage, interrogate, interpret and visualise data from a wide range of different sources, types and including structured and unstructured forms.

3. Communicate effectively through oral presentations and written reports, presenting methodologies, findings in a way that is appropriate to the intended audience.

4. Contribute effectively to managerial decision processes within a business context.

5. A collaborative mind-set.  Our graduates are enterprising and motivated individuals who are able to actively collaborate and effectively communicate within a range of diverse settings.

6. Technological and digital literacy: Our graduates are able to use technologies to source, process and communicate information.

8 Word count

The word count is 3000 words (including +10% allowance).  This limit excludes the Title page, Table of Contents, Tables, Figures and Bibliography.  It does include headings and sub-headings.

9 Referencing Style and Guidance

Referencing is an essential part of academic practice.  You are expected to conduct research into the background of your information system and then reference the corresponding bibliographical resources when drawing upon it in the report.

· You are encouraged to make good use of the course literature.

· You are encouraged to find additional articles that could be helpful to explain the background to your information system.

· You are expected to use the APA (American Psychological Association) style for referencing and the Bibliography section.  For more details, please see: https://libguides.exeter.ac.uk/referencing

10 Style and Formatting Guide

Format of report : 12pt. Arial, line and a half spacing.

Screenshots and evidence should go into the body of the text.

File type : Jupyter Notebook (ipynb)

11 Submission Method

Submission: Via ELE

Deadline:

Late Submission:

Coursework submitted within one hour of the deadline, and which has reached the standard of the module pass mark or above, will be awarded a penalty of 5% of the total available marks for the coursework, down to a minimum score of the module pass mark. Coursework submitted within one hour of the deadline, which does not reach the standard of the module pass mark, will not be awarded a penalty of 5%. Late submission of coursework more than one hour after a submission deadline and up to 24 hours beyond a submission deadline must receive a mark capped at the module pass mark, unless an application for mitigation is approved. First submissions submitted later than 24 hours after the deadline will receive a mark of zero.

More details on mitigation circumstances can be found at: https://www.exeter.ac.uk/students/infopoints/yourinfopointservices/mitigation/

12 Plagiarism

This coursework is individual.  The problem must be different from those used as examples in the classes and labs and those of other students.  The work will be checked to verify this.  Please familiarise yourself with guidance on plagiarism - https://business-school.exeter.ac.uk/study/international/culture/#tab4

13 Marking Criteria

13.1 Visualisation critique presentation


Criteria / Category

Fail (< 40%)

Condonable fail (40-50)

Pass (50-60)

Merit (60-70)

Distinction (> 70%)

Introduction & Aims

(10%)

Cursory or no introduction.

Satisfactory introduction to topic of visualisation.

Reasonable attempt at introducing topic of visualisation.

Clear and coherent introduction of topic of visualisation and chosen dataset.

All of previous – plus originality of identification of aims.

Quality and relevance of information

(30%)

Lacking in basic knowledge of the topic area.

Irrelevant information provided.

Quality of information presented inconsistent.  Structure and organisation of presentation inadequate in places.

Satisfactory structure to presentation and organisation of material.

Materials presented cover basics of topic of visualisation and come from authoritative sources.

Well-structured and organised presentation with clear knowledge of material demonstrated.

All of previous – plus originality of ideas, clearly demonstrating understanding beyond taught materials.

Analytical skills

(30%)

Inappropriate integration of theory and practice

Limited use of analysis.  Bulk of presentation is descriptive.

Satisfactory and methodological analysis of key concepts of visualisation and applied to chosen dataset.

Dataset chosen analysed clearly using key concepts from visualisation domain.  Clear links to key authors provided in analysis.

All of previous – plus outstanding critical analysis showing clear application of current body of thought for visualisation.

Summary

(10%)

Major defects in understanding when bringing topic to a conclusion

Limited conclusions.

Satisfactory conclusions reached based on adequate working knowledge of key concepts of visualisation.

Working knowledge of material demonstrated and good competence shown in drawing to a conclusion.

All of previous – plus outstanding summarising that is original and thought provoking without use of hyperbole.

Use and effectiveness of visual aids

(10%)

No visual aids, or poor use of visual aids in conjunction with narrative.

Unimaginative use of visual aids.

Acceptable use of visual aids.

Effective use of visual aids with clear engagement with materials.

All of previous – plus originality of ideas shown, innovative use of visuals.

Clarity of voice

(5%)

Voice difficult to understand and not clear

Limited clarity of voice.

Good voice clarity and pacing.

Clear, well-paced voice

All of previous – plus real engagement with topic shown.

Confidence

(5%)

Total lack of confidence

Obvious lack of confidence

Overall confident delivery.

Confident throughout.

Supreme confidence without arrogance

13.2 Final Visualisation project

The marking for the project places more emphasis on demonstrating skills learnt rather than research.

Criteria / Category

Fail (< 40%)

Condonable fail (40-50)

Pass (50-60)

Merit (60-70)

Distinction (> 70%)

Knowledge and understanding of subject

(30%)

· Little knowledge or understanding of visualisation is demonstrated.

· Significant weaknesses in knowledge base are shown or knowledge is simply reproduced without demonstration of understanding

· Demonstrates knowledge of visualisation and awareness of current issues but with some notable weaknesses.

· Lacks knowledge and understanding of some key areas.

· Demonstrates sound knowledge and understanding of visualisation topics.

· Demonstrates an understanding of current approaches and how these affect the way that visualisations are created.

· Produces work with a well-defined focus.

· Demonstrates a systematic knowledge, understanding and critical awareness of current issues and insights at the forefront of the visualisation field.

· Produces work of exceptional standard, reflecting outstanding knowledge and understanding of visualisation materials.

· Displays exceptional mastery of the core visualisation knowledge and skills with an exceptional critical awareness of current insights.

Cognitive / Intellectual skills

(30%)

· Very little or no critical ability demonstrated.

· Poor, inconsistent analysis

· Some appropriate analysis but some significant inconsistencies which affect the soundness of the discussions.

· Demonstrates very limited critical ability.

· Provides evidence of relevant and sound analysis within the area of visualisation with some ability to evaluate critically.

· Can analyse complex issues and make appropriate judgements

· Can evaluate visualisation approaches critically and where appropriate propose new hypotheses.

· Demonstrates an ability to deal with complex issues systematically and creatively, making sound judgements in the absence of complete data

· Shows outstanding ability to evaluate visualisation approaches critically and where appropriate propose new hypotheses.

· Can deal with a range of complex issues both systematically and creatively, making excellent judgements in the absence of complete data

Research skills

(10%)

· Little or no skill shown in design techniques applicable to visualisations.

· Little to no understanding demonstrated of how established techniques in visualisation and enquiry are used to create and interpret knowledge.

· Demonstrates some skill in applying selected techniques to own visualisation process but significant areas of weakness shown.

· Lacks sufficient understanding of how established visualisation techniques are used to create and interpret knowledge

· Demonstrates understanding of selected visualisation techniques in relation to own project.

· Shows some originality in the application of knowledge and some understanding of how established techniques of visualisation are used to create and interpret knowledge.

· Displays a comprehensive understanding of and skills in techniques applicable to own visualisation.

· Shows originality in the application of knowledge, together with a good understanding of how established visualisation techniques are applied to create and interpret knowledge.

· Employs advanced skills to conduct research and where appropriate advanced technical activity.

· Displays an exceptional grasp of visualisation techniques.

· Shows originality in application of knowledge and excellent understanding of how established visualisation techniques create and interpret knowledge

Use of research-informed literature

(10%)

· Failure to evidence or discuss and apply appropriate examples from literature relating to field of visualisation.

· References are flawed and/or inconsistent

· Can evidence and apply examples of literature to current visualisation but lacks critical engagement.

· References to appropriate literature are insufficient or inconsistent.

· Can evaluate critically examples of literature relating to current issues in visualisation.

· Makes consistently sound use of appropriate academic conventions and academic honesty.

· Able to communicate and provide evidence clearly to specialist and non-specialist audiences

· Able to critically evaluate a range of literature relating to current thinking in visualisation.

· Makes consistently good use of appropriate academic conventions and academic honesty.

· Able to communicate effectively and provide evidence to specialist and non-specialist audiences

· Able to evaluate critically with exceptional insight, a range of literature relating to current research in the visualisation discipline.

· Makes consistently excellent use of appropriate academic conventions and academic honesty.

· Able to communicate at a very high-level arguments, evidence and conclusions to specialist and non-specialist audiences.

Skills for life and professional employment

(20%)

· Significant weaknesses evidence in key areas such as communication, problem-solving, project management.

· No ability to adapt demonstrated.

· No ability to work flexibly and/or independently demonstrated

· Demonstrates generally effective employability skills including communication and problem-solving but with some problematic areas.

· Limited ability to adapt.

· Some evidence of working flexibly and/or independently shown but with areas of weakness.

· Shows a consistently good level of employability skills, including problem-solving and project management, technical skills, creativity, and flexibility.

· Demonstrates capabilities to support effective communication in range of complex visualisation contexts.

· Shows consistent ability in tackling and solving demanding problems.

· Demonstrates ability to advance own knowledge and understanding and to develop new skills.

· Demonstrates the independent learning ability required for continuing professional development.

· Shows a high level of employability skills including project management, problem, solving, technical skills in visualisation.

· Demonstrates very effective communication in range of complex visualisation contexts.

· Can act autonomously in planning and implementing tasks at a professional level.

· Demonstrates skills and attitudes needed to advance own knowledge and understanding to develop new skills.

· Demonstrates independent learning ability required for continuing professional development.

· Shows a very high level of employability skills including project management, problem, solving, technical skills in visualisation.

· Demonstrates very high-level communication skills in range of complex visualisation contexts and ability to write at a publishable standard.

· Demonstrates autonomy and notable originality in tackling and solving demanding visualisation problems.

· Shows a high level of consistency and autonomy in planning and implementing tasks at a professional level.

· Demonstrates the skills and attitudes needed to advance own knowledge and understanding.

· Demonstrates the independent learning ability required for continuing professional development.