Data Visualisation Project
| Code | School | Level | Credits | Semesters |
| COMP3045 | Computer Science | 3 | 10 | Spring Malaysia |
- Code
- COMP3045
- School
- Computer Science
- Level
- 3
- Credits
- 10
- Semesters
- Spring Malaysia
Summary
This module provides an opportunity to put into practice knowledge and understanding that you have developed through the linked module COMP3042. 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 COMP3042, 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 requires 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. Available to students with intercalated year in computer science. Available to inter-campus mobility students and other exchange students in Computer Science. This module is not available to students not listed above, without explicit approval from the module convenor(s). COMP3042 is a pre-requisite. This module is part of the Human-Computer Interaction theme in the School of Computer Science.
Classes
- One 2-hour seminar each week for 3 weeks
Activities may take place every teaching week of the Semester or only in specified weeks. It is usually specified above if an activity only takes place in some weeks of a Semester
Assessment
- 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.
- 20% Presentation 1: A demonstration session, where the candidate presents their work.
Educational Aims
To develop student's 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.
Conveners
- Dr Kher Hui Ng