CS142 15 CATS (7.5 ECTS) Term 2
Option - CS, CSBS and DM
On completion of the module the student should be able to:
- Understand and demonstrate the core skills required to effectively visualise information and processes.
- Explore procedures, data and emergent systems as the subject of visualisations.
- Demonstrate an understanding of visualisations and their usage in a wide variety of applications.
- How visualisations convey information
- Principles and tecniques for creating effective visualisations
- Mapping information to images
- Limits of visualisation
- Ethical challenges
- Visualising algorithms e.g. travelling salesman problem, Dijkstra's algorithm, graph drawing, voronoi diagrams, geometric tessellation
- Visualising data sets, e.g. DNA sequences, sound files or a collection of tweets
- Coding natural systems e.g. cellular automata, flocking, reaction-diffusion systems and computationial biology applications
- Processing as a tool for visualising information
- Reas, C. and Fry, B. (2014) Processing: A Programming Handbook for Visual Designers (Second Edition) MIT Press.
- Schiffman, D. (2012) The Nature of Code: Simulating Natural Systems with Processing.
- Tufte, ER. (2001) The visual display of Quantative Information
- Sedgewick, R and Wayne, K. (2011) Algorithms (Second Edition)
Assessed coursework (100%)
20 one-hour lectures
10 two-hour lab sessions.