Essential Information

Dates

27.09.2021 - 19.01.2022

Project Briefs:

Phase 1: Data as Material

Phase 2: Data as Enquiry

Phase 3: Data for Change

Submission

Online submission 19th January 2022 by 3:00pm (15:00) GMT

Submission method

Electronic submission (via Moodle)

1 PDF document, maximum size 100MB

Unit Credit

40 credits

Submission Type

Holistic.

Unit Introduction

This unit introduces you to data visualisation design both technically and conceptually building upon the long established practice of information design. You will interrogate selected data sets and produce interactive visualisations that enhance understanding and communication. You will also be introduced to the ethical dimension of data collection and asked to consider your intentions and responsibility when selecting and visually representing data.

You will be introduced to forming and managing data sets and prepare them to be visualised. This unit will revisit design methods and processes that will help you to create meaningful outcomes driven by data. You will use existing platforms and tools for data manipulation and visualisation and be encouraged to develop your own solutions through code as well as other tools.

This unit is taught through a series of workshops and set project briefs that will develop your technical skills as well as introduce you to the common vocabulary of data visualisation design and build.

Learning Outcomes

<aside> 💡 The unit submission will be assessed against the five UAL assessment criteria: Enquiry, Knowledge, Process, Communication, and Realisation. See arts.ac.uk/assessment.

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You will show familiarity with data visualisation as a method for visual communication including its function, aesthetics and histories. (Enquiry)
You will show how you engaged in data collection and visualisation techniques to advance understanding of the themes within your project for yourself and others. (Enquiry)
You will show that you have critically engaged in contemporary debates around data collection, manipulation and presentation. (Knowledge)
Evidence of an iterative practice including experiments with form, content and concept should be demonstrated including making clear your design decisions, data sources and/or collection methods. (Process)
You will show that you have designed and constructed interactive design work intended for a specific 'public', that advances a specific standpoint or argument with the given topic. (Communication)
You will demonstrate the use of pre-existing or personally constructed datasets to create bespoke and detailed data-driven design and visualisations to further your own and others’ understanding of a topic. (Realisation)