Complex systems, such as modern smart cities, infrastructure, power and data grids, bio- and ecosystems, are composed of numerous diverse interacting parts, making them susceptible to unexpected, large-scale, and apparently uncontrollable behaviours. This unit will develop an awareness of the complex nature of systems around and within us, with the view to develop and expand the expertise in computational modelling and policy development for crisis forecasting and management. It will define and explore core concepts that describe system dynamics in terms of how individual components interact locally to generate global system properties. This OLE will require an estimated 50 hours of course learning content, practical formative exercises and assessments. Graduates of this unit are expected to develop critical reasoning, depth of disciplinary expertise, interdisciplinary effectiveness/expertise and broader skills.
Refer to the assessment table in the unit outline.
This OLE requires no prior exposure to complex systems. The aim of this unit is to introduce students to complex systems understanding, inherently drawn from across disciplines, through building on basis concepts of complex systems science and engineering.