Module title: Interactive Data Visualisation

SCQF level: 09:
SCQF credit value: 20.00
ECTS credit value: 10

Module code: SET09424
Module leader: Thomas Methven
School School of Computing
Subject area group: Software Engineering
Prerequisites

N/A


Description of module content:

This module will introduce, explore, and develop interactive data visualisations. Students will explore the challenges and opportunities presented when users have the ability to explore, interrogate, and otherwise manipulate the visual representation of data in real-time. Importantly, students will be required to build interactive visualisations from fundamental building blocks, so that they get a deep understanding of how said visualisations work, as well as the ability to design new and unique visualisations.
First, fundamental design principles will be discussed and explored, with an emphasis on how these apply to visual and interaction design. Next, modern tools and techniques for data-driven visualisation will be examined so that students can create simple static visualisations in an interactive environment. For example, this might include how to create a bar chart or a scatter plot for display in a web browser. Finally, the module will explore how to add interaction to these visualisations. This will start with simple interaction, before students learn how to create more complex interactive visualisations using state-of-the-art tools and techniques. These final creations will allow students to explore, implement, and critically reflect on data-driven, interactive data visualisations.

Learning Outcomes for module:

LO1: Apply knowledge of fundamental design principles to visualisation design
LO2: Demonstrate how fundamental design principles apply to interaction
LO3: Apply modern tools and techniques in order to visualise data in an interactive environment
LO4: Construct and implement a complex interactive data visualisation
LO5: Critically reflect on the advantages and disadvantages of interaction in data visualisation

Indicative References and Reading List - URL:

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