This course introduces you to the theory and practice of Australian foreign policy across a range of key relationships and policy areas in both historical and contemporary terms. You will consider the domestic and global contexts of Australia’s foreign policy and the ways in which they shape Australia’s international behaviour. You will explore a range of significant policy areas, including defence and national security, trade, foreign aid, and immigration. The emphasis is on developing a critical understanding of Australian foreign policy, Australia's international interests and the ways in which those interests are pursued. You are encouraged to address the subject through critical reflection and debate, drawing where possible on current issues in foreign policy development and practice.

This course teaches students about the operation of Australian immigration law. Emphasis is placed upon acquiring knowledge as to how immigration law works in practice through examining the structure and content of the Migration Act 1958 and the Migration Regulations 1994. This legislation is voluminous and critical to an understanding of Australian immigration law. This course teaches students how the Act and Regulations operate together to regulate entry and stay in Australia and then focuses upon some regulatory issues in detail.

This course introduces key concepts in geomorphology, sedimentology and soils through the study of landforms and the earth surface processes that create them across a range of environmental settings.  Emphasis is on Australian landscapes including rivers and floodplains, arid regions and coastal zones. Changes to landforms and surface deposits over time and in response to human modification of the landscape are considered. Field and laboratory based work will provide practical experience in physical landscape evaluation and land management techniques for geologists, physical geographers and ecologists.

This course introduces you to the institutions, practices and principles of representative democracy and justice, within a comparative context. You will learn about the Australian constitutional framework, the separation of powers and the judicial system, the "unwritten constitution" of governing conventions, and human rights. You will come to appreciate Australian electoral systems and behaviour, as well as the institutions of Prime Minister, Cabinet and political leadership. The course considers the role of political parties, the media, and questions of citizenship in regard to sex and gender, race, and class. These elements of Australian representative democracy, as well as the controversial issues that they cover, are compared to their counterparts in other countries. This course is predicated on the assumption that democracy is full of paradoxes and contradictions that need to be understood in order to change the world.

This course introduces a range of automobile powertrain systems including petrol/diesel engines, alternative fuel engines, hybrid engines and electric drives powered by batteries and fuel cells. The fluid flow, thermodynamics, combustion, and fuel properties are studied with reference to engine power, efficiency and emissions. Students examine the design features and operating characteristics of different types of automobile engines before studying advanced engine technologies. Students learn about formation principles and impacts of air-polluting emissions and their reduction technologies. Students also learn about alternative fuels and their use in powertrains as well as design features and operation principles of hybrid engines and electric drives. The course includes a lab for the performance test experiments of petrol and diesel engines.

Data modelling allows us to understand the relationship of various data within a system. Within an aviation context, data modelling can be used in areas such as safety data analytics, aviation econometrics and sustainability to model and forecast scenarios to optimise processes and understand how to improve systems. In this course, students will learn about the various tools and techniques used to perform data modelling in the aviation industry and how to apply these to various challenges in an aviation context. This course will focus on data modelling with machine learning-based models and neural network-based artificial intelligence (AI) models in aviation. Theories underpinning machine learning models and AI models will be covered in this course to provide students with theoretical knowledge about data modelling. Data analytics and Python programming skills are included to provide students with problem-solving skills in data preparation, exploration and modelling. Students are provided with computer programming training in the Python language. Tutorial sessions are an essential and significant part of this course. Data modelling projects are an integral part of this course to provide students with hands-on experience in building data models and practising programming skills.