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INFO708 – Data Visualisation

Module code
Module title
Data Visualisation
To enable students to study and apply visual techniques that transform data into a format efficient for human perception, cognition, and communication, thus allowing for extraction of meaningful information and insight. Students will investigate data visualisation techniques, human visual systems and cognitive perception, and design, construct, and evaluate data visualisations.
  • BI1601
  • BI1804
NZQA Level
Level 7
NZQA Credits
Delivery method
  • Web-Supported
Learning hours
Total learning hours
Resources required
Learning Outcomes
1. Examine human visual systems and cognitive perception to gain a better understanding of
their role in data visualisation

2. Examine and apply data visualisation principles and techniques

3. Evaluate and select appropriate visualisation techniques for producing a data visualisation
for a given context

4. Construct and evaluate interactive visualisations based on a given context and data set
- Human perception and cognition

- Data visualisation techniques
- Visual encoding
- Spatial representations of data
- charts, graphs, maps
- Multivariate data representation
- Navigation
- Relationships: Hierarchies and Networks
- Visualising social patterns
- Interaction Techniques

- The data visualisation pipeline
- data analysis
- data filtering
- data mapping
- rendering

- Tools for data visualisation including (but not limited to)
- D3.js Data Visualisation Library
Teaching and Learning Strategy
Teaching methods will involve theoretical and practical classes which may include but not limited to lectures, class discussions, tutorials, case studies, simulations, computer laboratory work, group activities, face-to-face and online activities.
Assessment Criteria
In order to receive a passing grade, students must achieve a minimum 40% average over all supervised tests and achieve 50% overall for the module.

Learning and Teaching Resource
Wintec Learning Management Systems, Computer Laboratory
Required Textbooks
An extended reading list will be supplied by the tutor at commencement of the module. This will be updated annually.

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