Teaching Responsibility

LJMU Schools involved in Delivery:

Computer Science and Mathematics

Learning Methods

Lecture

Practical

Module Offerings

5125COMP-JAN-CTY

Aims

To develop critical awareness of the effective presentation of results/data To develop the skills to produce effective data presentations to highlight the unique properties of specific data sets

Learning Outcomes

1.
Compare and contrast appropriate approaches to the presentation of data/results.
2.
Appraise appropriate means for pre-processing data for presentation.

Module Content

Outline Syllabus:Outline Syllabus Understanding visual perception Limits of short-term memory Visually encoding data for rapid perception Gestalt principles of visual perception Seven stages of the data visualisation process Acquire Parse Filter Mine Represent Refine Interact Chart Types Time series Mapping geographical data Connections and correlations Scatterplot Maps Trees, Hierarchies and Recursion Networks and Graphs Design Guidelines Interactivity Highlighting Filters Hyperlinking Sizing Scrollbars Fitting views Information Dashboard Design Infographics Case studies in data visualisation
Module Overview:
To develop critical awareness of the effective presentation of results/data To develop the skills to produce effective data presentations to highlight the unique properties of specific data sets This is a practical module that generates effective data visualizations rather than presenting static images, thus developing real hands-on experience of data visualisation.
Additional Information:This is a practical module that generates effective data visualizations rather than presenting static images, thus developing real hands-on experience of data visualisation.

Assessments

Centralised Exam

Report