Data Visualisation Project
| Code | School | Level | Credits | Semesters |
| COMP3022 | Computer Science | 3 | 10 | Spring UK |
- Code
- COMP3022
- School
- Computer Science
- Level
- 3
- Credits
- 10
- Semesters
- Spring UK
Summary
This module provides an opportunity to put into practice knowledge and understanding that you have developed through the linked module COMP3021. You will gain practical experience of how to design and evaluate a distinctive interactive visualisation which presents information gathered from a complex and interesting data source.
Your project will be supported by seminars that introduce practical topics that are essential to effective visualisation design, and which have not been considered in COMP3021, including specific algorithms for extracting information from data, structured processes for designing visualisations and selected elements of design aesthetics (such as colour choice and typography). You will gain experience in web-based technologies that enable the implementation of multi-layered and interactive data visualisations.
This module will require some challenging programming work, and assumes advanced knowledge of HTML, CSS and JavaScript.
Target Students
Available to Level 3 and 4 students in the School of Computer Science. COMP3021 is a pre-requisite. This module is part of the Human-Computer Interaction theme in the School of Computer Science.Additional Requirements: Extensive web development knowledge and experience.
Co-requisites
Modules you must take in the same academic year, or have taken in a previous year, to enrol in this module:
Classes
- One 2-hour seminar each week for 3 weeks
Activities will take place at the beginning and in the middle of the semester. There is a final presentation at the end of the semester.
Assessment
- 20% Presentation 1: A demonstration session, where the candidate presents their work.
- 80% Coursework 1: Structured portfolio of documents and code repositories demonstrating the candidate's ability to conceptualise, design, implement and evaluate a data visualisation to a specified brief.
Assessed by end of spring semester
Educational Aims
To develop students' ability to design, implement and evaluate a distinctive data visualisation.Learning Outcomes
Knowledge, understanding and practical experience of the application of technologies that support the design and delivery of data visualisations.
Knowledge, understanding and practical experience of the process of designing, implementing and evaluating data visualisations.