No offerings have been identified for this subject in 2015
ITC330 Life, Chaos and Virtual Worlds (8)
Abstract| Why do stock markets crash? Why do rainforests have so many species? This introduction to complex systems attempts to answer such questions by looking at the ways in which order and chaos arise within systems of interacting objects. Computation, both natural and artificial, provides a unifying theme. Major topics include connectivity, control, criticality, fractals, evolutionary processes and self-organization. Practical topics include simulation and applications of these ideas to biology, environment and commerce. |
|
|
+ Subject Availability Modes and Location
Continuing students should consult the SAL for current offering details prior to contacting their course coordinator: ITC330
Where differences exist between the handbook and the SAL, the SAL should be taken as containing the correct subject offering details.
|
|
Subject information| Duration | Grading System | School: |
|---|
| One sesssion | HD/FL | School of Computing and Mathematics |
|
|
Assumed Knowledge| STA109 or STA201 or QBM217 or MTH220 or ITC215 or ITC569 |
|
|
Learning OutcomesUpon successful completion of this subject, students should:
? understand the fundamental role of connectivity in the structure and behaviour of complex systems;
? understand issues associated with chaotic processes, including sensitivity to initial conditions;
? understand simulation paradigms and methods; be able to develop elementary simulations of multi-agent systems;
? understand how local interactions can lead to global properties, such as emergent and evolutionary behaviour; and
? be able to model practical biological and/or economic problems.
|
|
|
SyllabusThe subject will cover the following topics:
? Introduction
What is complexity? Simulation models
? Natural computation
Computing and nature, language of nature
? Patterns and processes
Stability and equilibria, Chaos , Fractals
? Multi-agent systems
Cellular automata, Networks
? Self-organisation
Evolution in complex systems, evolutionary computation, Criticality and phase changes
? Case studies
Examples |
|
|
Back
The information contained in the 2015 CSU Handbook was accurate at the date of publication: 01 October 2015. The University reserves the right to vary the information at any time without notice.
