University of Sydney

This interdisciplinary course provides students with the opportunity to address complex problems identified by industry, community, and government organizations, and gain valuable experience in working across disciplinary boundaries. In collaboration with a
major industry partner and an academic lead, students integrate their academic skills and knowledge by working in teams with students from a range of disciplinary backgrounds. This experience allows students to research, analyze and present solutions to a real-world problem, and to build on their interpersonal and transferable skills by engaging with and learning from industry experts and presenting their ideas and solutions to the industry partner.

This course examines the foundation for statistics and data science skills that are needed for a career in science and for further study in applied statistics and data science. It covers exploring data, modelling data, sampling data and making decisions with data. Students will use problems and data from the physical, health, life and social sciences to develop adaptive problem-solving skills in a team setting. 

This course examines the diversity of cell types, how these different cells interact with each other, how the cell cycle is controlled, as well as studying the roles of cellular movement, differentiation and interaction in reproduction and development. The laboratory program provides students with hands on training in key techniques such as cell culture, cell signal transduction, mitochondrial physiology, drug discovery in marine organisms, digital microscopy and tissue specific gene expression. 

This course examines the fundamental concepts, methods and techniques of usability engineering. 

This course examines methods to model and analyze statistical dependencies in data. The methods are useful for detecting, analyzing and making inference about patterns and dependences within the data so as to support business decisions. This course offers an insight into the main statistical methodologies for modelling statistical dependence in both discrete and continuous business data. This provides the information required for a range of specific tasks, e.g. in financial asset valuation and risk measurement, market research, demand and sales forecasting and financial analysis, among others. The course emphasizes real empirical applications in business, finance, accounting and marketing, using modern software tools.

This course examines the mechanisms that drive neurons and neural circuits throughout the brain and body. The lectures explore how environmental and neuronal signals are translated into and encoded in nerve impulses and how this information is conveyed through synapses to transmit information about the external world to control the body as well as different behaviors and to store information for future use (learning and memory). The mechanisms by which sensory and motor information are integrated through neural circuits in the brain and spinal cord are also explored in detail. Practical classes provide an accessible and engaging experience to delve into the inner workings of neurons and sensory systems. 

This course examines the relationship between crime, law, medicine and science. It focuses on criminal detection practices, death investigation systems, the coroner's office, autopsies and socio-legal management of the dead body, human tissue and organ controversies, and the role of medicine, science and psychology in criminal justice.