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Unit of study_
CSYS5010: Introduction to Complex Systems
2024 unit information
Globalisation, rapid technological advances, the development of integrated and distributed systems, cross-disciplinary technical collaboration, and the emergence of "evolved" (as opposed to designed) systems are some of the reasons why many systems have begun to be described as complex systems in recent times. Complex technological, biological, socio-economic and socio-ecological systems (power grids, communication and transport systems, food webs, megaprojects, and interdependent civil infrastructure) are composed of large numbers of diverse interacting parts and exhibit self-organisation and/or emergent behaviour. This unit will introduce the basic concepts of "complex systems theory", and focus on methods for the quantitative analysis and modelling of collective emergent phenomena, using diverse computational approaches such as agent-based modelling and simulation, cellular automata, bio-inspired algorithms, and game theory. Students will gain theoretical knowledge of complex adaptive systems, coupled with practical skills in computational simulation and forecasting using a range of modern toolkits.
Unit details and rules
Managing faculty or University school:
Computer Science
| Code | CSYS5010 |
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| Academic unit | Computer Science |
| Credit points | 6 |
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Prerequisites:
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None |
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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None |
At the completion of this unit, you should be able to:
- LO1. understand and analyse the dynamics of complex systems using intermediate critical analysis skills
- LO2. analyse and evaluate models of complex systems using scientific programming and the 'Modelling Loop'
- LO3. Create, using a scientific modelling language such as NetLogo, multi-agent models of complex systems
- LO4. understand the nature, structure, function and evolution of complex systems and emergent behaviour in multiple different fields
- LO5. select and apply different approaches to analysing complex systems in different domains (e.g. game theory, dynamical systems, genetic algorithms)
- LO6. design and evaluate large systems that satisfy structural and functional criteria within given domains and contexts integrating complex systems approaches.
Unit availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 1 2024
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Normal evening | Camperdown/Darlington, Sydney | |
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Semester 2 2024
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Normal evening | Camperdown/Darlington, Sydney |
Outline unavailable
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Modes of attendance (MoA)
This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.
