Unit Code: PSY4409

Contact Hours: 20-24 hours of study per week

Duration: 6 weeks

Description:

‘21st century applications of psychology’ is a multidisciplinary unit that draws together distinct strands of psychological theory and practice. Divided across 6 modules, you will study psychology from the following perspectives: the mind/body and self (e.g. body modification, embodied cognition, the 'selfies' epidemic), family and relationships (e.g. step-families, same-sex families), society and culture (e.g. modern racism, psychological perspectives in terrorism, acculturation and integration within multicultural Australia), health, stress and coping (e.g. resilience, positive education, cross-cultural approaches to therapy), ePsychology (e.g. cyber-bullying, virtual reality, artificial intelligences), and psychology of work (e.g. flow, flourishing)

Unit Code: PSY5019

Contact Hours: 20-24 hours of study per week

Duration: 6 weeks

Description:

This unit explores lived and living experiences of addiction and recovery. You will consider the ways in which substance and behavioural addictions can impact individuals, families and communities, and the impact of dominant discourses and frameworks. Approaches to holistic care and wellbeing will be considered alongside insights into the intersect between addiction and co-occurring mental ill-health. Developing your skills in reflective and trauma informed practices will equip you with an understanding of how to support people across diverse contexts and potential next steps when more intensive interventions are required.

Unit Code: FIT9136

Contact Hours: 20-24 hours of study per week

Duration: 6 weeks

Description:

Python is the industry-standard programming language for data science, ideally suited to implementing algorithms in data analysis. ‘Algorithms and programming foundations in Python’ introduces the data structures and algorithms widely used in modern programming language, and how they can be used to solve simple problems. You will also cover data science-relevant topics including IOs, control structures, and object-oriented design principles such as lists, stacks, queues, trees, recursion, and searching/sorting algorithms.

Unit Code: ITO5214

Contact Hours: 20-24 hours of study per week

Duration: 6 weeks

Description:

Blockchain is predicted to be the next revolution of the internet. In ‘Blockchain’ you will gain a basic knowledge of blockchain technology and how they can be applied to real-world scenarios. Your learning will focus on understanding different blockchain systems including consensus, privacy-preserving protocols and smart contract, which are increasingly being used in different industries.

Unit Code: LEO5130

Contact Hours: 20-24 hours of study per week

Duration: 6 weeks

Description:

A key challenge for organisations and leaders is the implementation of system-wide changes to fundamental processes, products, services, culture and/or ways of doing business. Digital transformation is a key example of these major change initiatives confronting many organisations. Current conditions within organisations include volatility, uncertainty, complexity and ambiguity therefore you need to be increasingly adept at managing and implementing change. Different approaches to implementing and managing transformation, including planned change approaches, emergent change approaches and agile are introduced, explored and applied.

Unit Code: ITO5225

Contact Hours: 20-24 hours of study per week

Duration: 6 weeks

Description:

‘Cloud computing and security’ will enable you to build a foundational knowledge of cloud computing technology and teach you how to design and implement cloud applications. You will also interrogate issues of security and privacy of off-the-shelf cloud services. Your learning will focus on understanding cloud delivery and service models, identifying different cloud platforms and fundamental cloud technologies.

Unit Code: FIT5195

Contact Hours: 20-24 hours of study per week

Duration: 6 weeks

Description:

Data warehousing is an important consideration for any business collecting large amounts of data, because there is a need to find ways to integrate that data into decision support mechanisms. ‘Business Intelligence and Data Warehousing’ situates data warehousing in its historical context, and the development of today’s data warehousing methodologies, using relational database management systems, in combination with multi-dimensional modelling for structuring business intelligence data. You will learn about the different facets of data warehousing, including architecture, design, implementation and optimisation, and acquire hands-on experience developing data warehouse modelling and OLAP using relational database management systems.