Module 17421 (2003)
Syllabus page 2003/2004
06-17421
Imaging and Visualisation Systems
Level 3/H
Bob Hendley:5
Links | Outline | Aims | Outcomes | Prerequisites | Teaching | Assessment | Books | Detailed Syllabus
The Module Description is a strict subset of this Syllabus Page. (The University module description has not yet been checked against the School's.)
Relevant Links
Outline
Through both lectures and practical work, the module introduces a range of state-of-the-art techniques in the fields of imaging and visualisation. The 'information revolution' has generated large amounts of data, but valuable information is often hidden and hence unusable. Visualisation techniques seek to provide graphical answers to questions such as "How does the data look?", "What structures are there?" or "What model should be used?". Imaging techniques include the generation of realistic models, such as fractal models of landscapes. The module includes some practical work.
Aims
The aims of this module are to:
- introduce the fields of imaging and visualisation
- investigate the purposes of visualisation and the constraints imposed on visualisation systems
- explore significant techniques in imaging and visualisation
- enable students to independently extend the range of techniques that they can use
Learning Outcomes
| On successful completion of this module, the student should be able to: | Assessed by: | |
| 1 | demonstrate an understanding of the range of imaging and visualisation techniques available | Examination |
| 2 | analyse the requirements of visualisation applications | Examination and coursework |
| 3 | identify and justify suitable techniques to solve imaging and visualisation problems | Examination and coursework |
| 4 | use appropriate tools and techniques to produce visualisation systems | Coursework |
| 5 | demonstrate an understanding of the constraints of the human perceptual system | Examination and coursework |
Restrictions, Prerequisites and Corequisites
Restrictions:
Registration is limited to 25 students.
Prerequisites:
06-02504 (Graphics 1)
Co-requisites:
None
Teaching
Teaching Methods:
2 hours/week lectures/exercise classes plus labs
Contact Hours:
Assessment
- Supplementary (where allowed): As the sessional assessment
- 2 hr examination (80%), continuous assessment (20%). Resit (where allowed) by examination only.
Recommended Books
| Title | Author(s) | Publisher, Date |
| Introduction to Visualisation and Virtual Environments | Chaomei Chen | Springer, 2002 |
| Data Visualization: The state of the art | Frits H. Post, Gregory M. Nielson, Georges-Pierre Bonneau (eds) | Kluwer Academic, 2002 |
| Fractals Everywhere | Michael F. Barnsley | Morgan Kaufmann, 2000 |
Detailed Syllabus
-
Introduction (1)
- Motivations for visualisation
- Properties of human perception
- Overview of the range of visualisation techniques and applications
- Visualisation of vector and structured data (6)
- Principle Component analysis
- Factor Analysis
- Latent Trait models
- Enhancing the information content of visualisation plots
- Hierarchical visualisation
- Fractal Images (4)
- Mandelbrot set
- Julia sets
- Recurrent iterated functions
- Fractal modelling of real world objects
- Scientific visualisation (3)
- Isosurfaces, glyphs and other representations
- Languages and techniques
- Examples
- Information visualisation (6)
- Features and feature extraction
- Network visualisation
- Text visualisation
- Virtual environments
Last updated: 17 Mar 2004
Source file: /internal/modules/COMSCI/2003/xml/17421.xml
Links | Outline | Aims | Outcomes | Prerequisites | Teaching | Assessment | Books | Detailed Syllabus