Australia

This course examines the science of marketing. It focuses on the role of marketing and its importance in contemporary organizations and society. 

This course examines representations of the Australia's sporting past through the lenses of memorials, museums, film and the internet. As part of this approach, there is a focus on Australian sporting icons including Les Darcy, Dawn Fraser, Eddie Gilbert, Peter Norman and Michael O'Loughlin as well as the Australian Sport Museum (Melbourne), the Ration Shed Museum (Cherbourg) and the Australian Paralympic Movement.

This course examines typical communication development in English across the lifespan and in cultures relevant to the Australian context. It covers the sequence of normal communication development from prelinguistic communication development through to adult language; the significance of context and function in the development of language; the universality of communication development, and the effect of gender in communication development. 

This course examines the Australian legal system, a common law system, and contrasts it with the civil law system. It covers the historical origins of the Australian legal system, some of the principles underpinning the legal system, including the importance of the concept of the rule of law. It also covers the operation of the principal institutions of the legal system, the legislative and executive arms of government and the judiciary and courts. This will include the jurisdiction of Australian courts, the process by which cases are decided and the doctrine of precedent, consideration of alternative methods of dispute resolution and an examination of the role of the legal profession. There will also be an overview of the main branches of law. Aboriginal customary law will be looked at and there will be a critical analysis of the circumstances of the adoption of the common law in Australia and the effect on the indigenous people. There will also be examination of the recognition of customary law and native title.

This course examines the creative process of writing literary work, from the first idea through the development, editing and presentation, including the identification of sources, and choice of style and form. Students will be encouraged to attempt a variety of forms including creative non-fiction, graphic narratives, photo-essays, screenplays, and scripts for games and podcasts. 

This course covers historical and contemporary concepts and techniques relating to non-objective painting. Painting is addressed in its history and as a category of contemporary art. It is broadly defined as an extended practice with a broad range of material, spatial and intellectual possibilities. Geometric abstraction, gestural abstraction and minimalism have all made their marks on contemporary painting, which often mixes them together. In the course a variety of these approaches are explored through focused and self-initiated projects. As their studies progress, students are encouraged to develop their own approaches and set out their own parameters to create a valid studio practice.

This practice-based drawing course focuses on developing skills and techniques in botanical drawing, using drawing and watercolor media. Students will be introduced to specialist botanical drawing techniques. Lectures and writing tasks that explore the botanical in historic and contemporary visual art will complement the drawing program. 

This course examines numerical methods and statistics essential in a wide range of engineering disciplines. Numerical methods covers computing with real numbers, numerical differentiation, integration, interpolation and curve fitting (regression analysis), solution of linear and nonlinear algebraic equations, matrix operations and applications to solution of systems of linear equations, elimination and tri-diagonal matrix algorithms, and an introduction to numerical solution of ordinary and partial differential equations. Statistics covers exploratory data analysis, probability and distribution theory including the Binomial, Poisson and Normal distributions, large sample theory including the Central Limit Theorem, elements of statistical inference including estimation, confidence intervals and hypothesis testing, one sample and two-sample t-tests and F-tests, simple and multiple linear regression and analysis of variance and statistical quality control.