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This course provides students with theoretical knowledge and practical skills in advanced topics in database systems, big data and modern data-intensive systems. Specific topics include indexing methods, query processing and optimisation strategies for relational database systems, Object Relational Mapping and Object Database design, distributed database systems, and data mining on large databases.

Advanced relational database theory, database security, data backup and recovery, distributed databases, NoSQL databases, state-of-the-art research in the database field.

Various data models: Relational, XML, RDF, Graph and NoSQL Database indexing techniques Query optimization strategies Distributed Database systems Parallel database systems Cloud-based database systems Case studies and projects for advanced databases

How do we change over our lifespan? Developmental psychology combines many separate areas in psychology to examine the origins and age-related changes of several psychological processes with real life applicability. This course examines developmental psychology and developmentally relevant psychopathology and provides in-depth coverage of principles and theories of physical, cognitive, social, and personality changes that occur across the lifespan, as well as specialised topics in these areas. PSYC3700 is part of the Australian Psychology Accreditation Council's accredited sequence.

Signal Processing permeates a great range of applications in every day life. It aims to manipulate signals in order to shape, transmit or extract information. It provides a fundamental set of tools for applications such as communications, sensing, navigation, image and video processing, biomedical and health applications, as well as the control of power systems. This course builds on the third-year signal processing course to broaden the scope of the students' knowledge and to provide deeper insights into the theory that underlies them. The topics covered include:

Analyses the dynamic behaviour of D.C. and A.C machines in the context of their application. Space vector theory is utilised to develop control strategies for these machines especially vector control and torque and flux control. Advanced topics in power electronics, including design of gate and base circuits, multilevel converters, and electric utility applications are investigated.

This course covers a selection of advanced econometric methods such as maximum likelihood, generalised methods of moments, simulated maximum likelihood, simulated methods of moments, Bayesian inference, and bootstrap methods. Irrespective of the particular topics taught in any year, the course will emphasise the theoretical foundations of methods and their application to substantive economic problems in areas such as financial econometrics, micro-econometrics and macroeconometrics. This course is designed for you to acquire a higher level of knowledge in the area of econometrics beyond that expected of a good applied economist.

Many types of economic and financial data naturally occur as a series of data points in temporal order. Stock market indices are a classic example of such time series. Standard statistical methods are not appropriate for such data. This subject provides an introduction to time series econometrics with an emphasis on practical applications to typical economic and financial issues. Emphasis will be placed on determining when it is appropriate to use the various time series econometrics techniques and the use of appropriate software to conduct the analysis.