信息技术学士

This subject introduces students to core concepts of Networking and Database Systems. Students will explore fundamentals of Database Management Systems and networking communication including peerto-peer and client-server typologies, various protocols and networking architectures. They are introduced to database models and apply fundamentals of querying and mutation of databases. Students will implement these concepts through completing multiple software engineering projects.

Bachelor of Information Technology: MIS102 Data and Networking

Assessment Tasks: Software Program, Database

Delivery Mode: On Campus, Online

This subject explores the importance of understanding drivers of human behaviour throughout the software development process. The subject covers broad themes such as: the theory of knowledge, human cognition, ethical and moral values, analysis of human history, critical analysis, appreciation of literature and arts and social interaction among human beings through a technological context. Human Centred Design provides students the opportunity to recognise the factors that influence human behaviour and interactions so that they can apply specialised skills to solve problems that affect diverse societies.

Assessment Tasks: Essay, presentation, report, software program prototype

Delivery Mode: On Campus, Online

Ethical practice, teamwork and professional communication skills are the key concepts that students will explore and apply in IT Professional Practice. Industry focused learning activities and assessment tasks allow students to examine authentic case studies to identify compliance issues that compromise the safeguarding of IT governance. Working with peers, students will practice interpersonal and problem-solving skills as they collaboratively design and develop an IT solution. The learning journey concludes with students presenting their final solution, demonstrating the ability to professionally articulate their ideas to an audience.

Assessment Tasks: Report, Journal, Presentation

Delivery Mode: On Campus, Online

This subject introduces students to the fundamentals of entrepreneurship in the technology sector. It stimulates new ways of thinking about entrepreneurial behaviour in a multi-disciplinary environment. Students have the opportunity to identify market gaps and opportunities, creatively solve problems, network, communicate persuasively and work effectively in a team. In addition, this subject promotes the creation of ventures that focus on positive social impact.

Assessment Tasks: Software Program Prototype, Report

Delivery Mode: On Campus, Online

This subject provides students with introductory knowledge of data, life cycle of data science, ecosystem of data science, data scientist tools and relevant industry scenarios. In addition to students being introduced to the ideas behind turning data into information, they will also be introduced to the data scientist's toolbox that includes basic statistical knowledge and fundamentals of Python programming language. Key topics include data scientist skills and responsibilities in a business setting such as planning, performing and presenting insights, data manipulation tools and techniques, and data science codes of ethics.

Assessment Tasks: Essay, report, programming project

Delivery Mode: On Campus, Online

This subject provides students with an opportunity to work collaboratively on a series of projects, enhancing skills in a project-based environment such as time management, prioritisation, resilience and working within a team of people across multiple specialisations. Additionally, students will be challenged to find creative solutions to product development and small-scale rapid prototypes in the context of software engineering. Students will engage in peer learning through agile development and processes. This learning experience provides an opportunity to enhance self-development and promote continuous learning.

Assessment Tasks: Prototype project, Presentation, Report

Delivery Mode: On Campus, Online

The intended aim of this subject is to equip students with fundamentals of Secure by Design and enable abstraction of its underlying key principles. The course content is oriented towards the core pillars of Information Security: Confidentiality, Integrity and Availability. The subject is structured around the main Secure Development Lifecycle (SDLC) Models, Security by Design principles, appropriate SDLC model selection, application of secure development techniques, vulnerabilities and techniques to tackle, secure design and development best practices, introduction to encryption, introduction to the classification of security flaws and application security.

Pre-requisite: NDS203 Networking and Database Systems

Assessment Tasks: Online test, report

Delivery Mode: On Campus, Online

In Cloud Architecture, students will explore and examine the interwoven elements of cloud computing architecture that comprises hardware, software, and networking. Building upon their database and networking design skills, students will apply their knowledge on the design, construction, and testing of cloud architecture, with explicit consideration of relevant governance, cybersecurity, and ICT service requirements. Through collaborative project based learning, students will construct and present schematics and simulated prototypes to communicate IT solutions which are scalable, efficient, dependable and cost effective.

Pre-requisite: NDS203 Network and Database System and ICC104 Introduction to Cloud Computing

Assessment Tasks: Report, prototype

Delivery Mode: On Campus, Online

Through the exploration and critical analysis of ICT tools and technologies, students will further advance their industry skills and knowledge in enterprise computing. With consideration of Human Centered Design Principles, user-factors and cybersecurity, students gain further insight into enterprise computing models and applications including data and information management systems, and contemporary emerging technologies. Through the synthesis of skills and knowledge gained throughout the subject, students will collaborate with peers to design, produce and present a viable large-scale enterprise computing solution to meet complex and conflicting industry requirements. The skills and experiences gained from Enterprise Computing Systems will prepare students for their work integrated learning project.

Pre-requisite: CLA321 Cloud Architecture

Assessment Tasks: Presentation, report, journal

Delivery Mode: On Campus, Online

Smart Industry Applications focusses on students synthesising existing knowledge and skills in contemporary Information Communication Technology (ICT) technologies. This includes Artificial Intelligence (AI), Internet of Things (IoT) and Cloud Computing. Building upon their knowledge of cloud architecture and creative design methodology, students will collaboratively develop and propose inventive smart industry 4.0 applications with consideration of end-user social impact and ethical practice which will support them when they undertake their work integrated learning project.

Pre-requisite: CEN207 Creative Enterprise

Assessment Tasks: Poster, video presentation, and report

Delivery Mode: On Campus, Online

This subject is designed to provide students with the experience in a professional environment in an area related to their specialisation. The aim of providing industry-specific opportunities is to enable students to develop skills to enhance their prospects of gaining meaningful employment and building their career as software engineers in the future. Much of the benefit of work integrated learning comes from observation, practicing under supervision and reflection. Work Integrated Learning is an excellent way to broaden the student's learning environment while they are studying. It allows them to see first-hand how what they are learning in their degree, translates into practice, as well as how 'real world' practice relates to what they are learning at university. This subject is designed to develop work ready skills to boost students' employability while they are studying.

There are two work integrated learning options available to students:

Option 2: Industry Project
This subject requires students to respond to criteria set within the context of an Industry Project. An understanding of research methodologies appropriate to professional practice and the documentation of personal creative investigation will be explored. Students will also further investigate and examine entrepreneurial and commercial opportunities through collaborative work practice. The subject is delivered from a cross specialisation perspective and draws on both specialised and common software engineering practices.
Students are required to work both independently or as part of a collaborative team in order to conduct research, analyse and define project parameters and deliver innovative solutions that expand the notion of an Industry Project.

Assessment Tasks: Report, presentation

Delivery Mode: On Campus, Online

Credit: This is a 30-credit point subject

This subject will build on student’s existing programming knowledge by exploring the fundamentals of object oriented programming (OOP) paradigms. Using project-based learning, students will solve software engineering problems by implementing classical data structures and algorithms. Through the examination of programming patterns and solutions and the interpretation of data sets, students will be enabled to solve more complex programming problems by selecting efficient and optimised algorithms.

Pre-requisite: ISE102 – Introduction to Software Engineering

Assessment Tasks: Programming solutions

Delivery Mode: On Campus, Online

Ethics and sustainability are closely intertwined concepts that guide how we interact with the world and make decisions that affect both current and future generations. By integrating ethics and sustainability, we can create a more just and equitable world that respects the rights and needs of all beings, both now and in the future.

In this subject, you will participate in transformational learning that will challenge your choices. You will learn about ethical frameworks to understand of ways of living and working ethically in different societies, developing ethical reasoning skills that can be used in the workplace. You will also be empowered to challenge your values and professional ethics.

Assessment Tasks: Report

Delivery Mode: On Campus, Online

This subject provides an elementary introduction to probability and statistics with applications.

In probability, students will learn about probability and distribution theory by defining probability and then studying its key properties. The subject will also introduce concepts of random variables, outcomes of random experiments and data analysis techniques using statistical computing packages.

In statistics, students will study data and uncertainty. Students will learn how to use statistics in the design of effective experiments and in determining the type of data collected. Underlying these techniques is the assumption that these data are samples of a random variable that follows a probability distribution describing their behaviour.

Assessment Tasks: Online Test, Report

Delivery Mode: On Campus, Online

This subject introduces students to fundamental statistical machine learning models for regression and classification. Key topics of classification algorithms and regression algorithms in machine learning are covered including the practical use of both methods, how to evaluate the proposed models, and how to choose between the different available methods.

Main concepts are followed by examples of practical applications of different classification and regression problems to assist with prediction using machine learning algorithms.

Pre-requisite: PST107 Probabilities & Statistics

Assessment Tasks: Report, Source Code, Analysis of Source Code

Delivery Mode: On Campus, Online

This subject introduces students to data mining techniques for both structured and unstructured data. The technologies to analyse moderate-to-large sized datasets, data preparation, handling missing data, modelling, prediction and classification will be explored. Effective visualisation techniques will be applied to communicate complex information based on data analytics.

Assessment Tasks: Report, Source Code, Data Visualisation

Delivery Mode: On Campus, Online

In this subject, you will collaboratively take an idea and create it into a potential business opportunity.  You will assess, research, develop and create a proposed opportunity. This opportunity must currently  not be on the market and could be a new product, service, process or operational improvement. By  the end of this subject, you will enhance your skills in creating a venture-ready business plan and a presentation pitch to persuade relevant stakeholders.

Assessment Tasks: Report, Group Venture Plan, Presentation

Delivery Mode: On Campus, Online, Intensive 

The goal of this subject is to familiarise the student with the fundamentals of artificial intelligence (AI) and the problems AI can solve. The course content is organised around the three main areas of AI: Search, Logic and Learning. Topics covered include basic search, heuristic search, adversarial search, constraint satisfaction, logical agents, logic and inference, knowledge representation, probabilistic reasoning, knowledge in learning, learning probabilistic models, learning and ethics of AI.

Assessment Tasks: Test, Workbook, Report, Source Code

Delivery Mode: On Campus, Online

This subject builds on the skills and knowledge students acquired from Concepts of Artificial Intelligence (AI). The subject explores different topics of AI (e.g. Expert Systems, Planning and scheduling, Natural Language Processing (NLP) and Speech Recognition, Machine Learning, and Computer Vision) and their current applications. Students investigate case studies focusing on the most commonly used applications of AI and Machine Learning. This subject also covers the AI for Good movement and how AI is being used to address economic and socially relevant problems. 

Pre-requisite: CAI104 Concepts of Artificial Intelligence

Assessment Tasks: Report

Delivery Mode: On Campus, Online

This subject introduces students to the concepts, principles, and techniques of machine learning, such as supervised and unsupervised methods, learning theory, reinforcement learning and model performance improvement. Applications such as robotics, data mining, computer vision, bioinformatics and natural language processing as well as the risks and limitations of machine learning will also be explored.

Pre-requisite: CLR204 Classification and Regression

Assessment Tasks: Presentation, Source code, Report

Delivery Mode: On Campus, Online

This subject builds on the skills and knowledge students acquired from Machine Learning Principles and focuses on Deep Learning. Deep learning is a subset of machine learning, and machine learning is a subset of Artificial Intelligence (AI). Students are introduced to foundations of neural networks, their applications to sequence modelling, computer vision, generative models and reinforcement learning. They will learn how to model and train deep neural networks to implement a variety of computer vision applications. Students will be presented with practical examples on how to develop applications using Deep Learning. Knowledge in programming and understanding of machine learning concepts is required in this subject.

Pre-requisite: MLP301 Machine Learning Principle

Assessment Tasks: Online Test, Report, Presentation

Delivery Mode: On Campus, Online

This subject introduces students to the fundamentals of JavaScript and the application of this knowledge in web development. The subject explores principles of JavaScript to broaden understanding of programming languages. Students apply these fundamentals to navigate and manipulate the document object model (DOM) of a webpage. They subsequently design and develop their own interactive components and interfaces, expanding beyond the capabilities that web design languages such as HTML and CSS afford. This subject culminates in exploring design and coding interactive web animations using various JavaScript libraries, increasing ability and skillsets for modern web design and development.

Assessment Tasks: Design Research Project, Wireframe, Prototype, Interactive Web, Video

Delivery Mode: On Campus, Online

This subject introduces students to the fundamentals of user experience design by introducing research methods to identify and explore user needs in contemporary digital applications. Students will first define the user experience problem and hypothesise on solutions before analysing and addressing audience and content requirements. Students will work through concept development, prototyping, validation and testing phases to create and refine user-centred design solutions for interactive media.

Pre-requisite: DIG103 Interaction Design

Assessment Tasks: Web Based UI Prototype, Report, Video

Delivery Mode: On Campus, Online

Social Enterprise is an exciting theoretically-based subject that is driven by the desire to create positive change through entrepreneurial activities. These activities harness design thinking and problem-solving processes in the realisation of pragmatic, viable project proposals from initiation to client presentation. By providing students with a framework to understand business model generation and the skills to source, evaluate, and measure opportunities through systematic research and competitor analysis, Social Enterprise empowers students to conceptualise, develop and propose new ventures and products that focus primarily upon social change for good. In addition, this subject will help students understand and address the practical challenges of working within this environment; to analyse different entrepreneurial business strategies, to explore diverse funding strategies, as well as incorporate theoretical discussions on major trends and issues in the social economy. Social Enterprise enables students to appreciate the power of creativity in problem-solving and the importance of the designer’s role in making a difference and precipitating change.

Assessment Tasks: Report, Presentation

Delivery Mode: On Campus, Online, Intensive

This subject introduces students to advanced UX applications and methodologies that reflect professional UX employment opportunities. Through a series of design sprints this subject explores the scoping, planning, designing and delivery of a complex feature of a UX design project following user-centred and agile design processes. A range of UX methodologies such as accessibility, information architecture, functionality, user psychology and behaviour, and project management are examined. Students extend their knowledge of research, design, prototyping, and validation methodologies through the development of a single innovative complex feature of a mobile app or web service.

Pre-requisite: UXF200 UX Fundamentals

Assessment Tasks: Report, Interactive Prototypes, Video, Video Presentation

Delivery Mode: On Campus, Online

In this subject, students will be introduced to foundational programming concepts and game development principles using an industry-standard video game engine and its associated programming language. Students will explore strategies to unpack complex 2D game development problems into smaller, manageable tasks. The skills acquired in this subject will enable students to engage and respond to 2D game design briefs.

Assessment Tasks: Activity and Response Workbook, Programming Exercises, Arcade Game Project

Delivery Mode: On Campus, Online

AIP201 introduces students to the fields of Physics & Artificial Intelligence (AI) within the context of software development for digital games. Students will learn to build simple physics & artificial intelligence systems for games. These systems will extend the students’ knowledge in software engineering process skills, modelling techniques and validation by applying these concepts to games physics & AI development.

AIP201 will explore modern techniques and theory for making efficient interactive agents and intelligent systems by exploring the concepts of game theory, path-finding, state driven design and autonomous decision making. Students will also understand the application of Newtonian mechanics in game engines through the use of physics programming, middleware and mathematics.

Pre-requisite: GDP102 Game Design Principles, MAT102 Maths 2 and GPR103 2D Game Programming

Assessment Tasks: Software program

Delivery Mode: On Campus, Online

The goal of this subject is to provide the students with an opportunity to collaborate on a series of projects, and enhance collaborative skills working within a team of people across multiple disciplines. Additionally, the assignments in this subject will challenge the student in finding creative solutions to project management and small scale rapid game creation. In teams, students will be asked to create and present various game prototypes over the duration of the subject.

Pre-requisite: Bachelor of Game Design & Development: ACR101 2D Asset Creation, GDP102 Game Design Principles, ACR103 3D Asset Creation, GPF104 Game Production Foundation

Bachelor of Software Engineering (Game Programming): GDP102 Game Design Principles, GPR103 2D Game Programming

Assessment Tasks: Software Project and Journal

Delivery Mode: On Campus, Online

Students specialise in developing games for the Sony PlayStation® platform utilising available game engines for input, graphics, sound and physics. Topics covered include the theory of PlayStation® architecture including SDK installation and network neighbourhood. Students will also learn how to port a project to the platform.

Pre-requisite: Bachelor of Software Engineering (Game Programing): GDP102 Game Design Principles and GPR103 2D Game Programming

Bachelor of Game Design and Development: GDP102 Game Design Principles, GPF104 Game Production Foundation and ACR103 3D Asset Creation

Assessment Tasks: Project Plan, Software, Plan

Delivery Mode: On Campus, Online

Cybersecurity Principles lays the foundation for students to apply their software and networking knowledge in order to identify the impact of security threats on contemporary business environments. Fundamentals of cybersecurity will be explored such as cybersecurity attack vectors, available security measures, and risk management best practice. Within a professional IT context, students will present a cybersecurity proposal to address potential threats that impact business outcomes and sustainability.

Assessment Tasks: Report, video demonstration

Delivery Mode: On Campus, Online

Contemporary cybersecurity requires proactive and offensive security approaches to protect business systems. This subject provides the opportunity for students to examine and understand the principles of offensive security paradigms and the impact on business computer systems. Students will explore and apply ethical hacking and penetration testing practices for vulnerability testing in order to propose security recommendations.

Pre-requisite: CBS131 Cybersecurity Principles

Assessment Tasks: Report and presentation

Delivery Mode: On Campus, Online

Planning, designing, securing and managing enterprise computing systems against cybersecurity attacks are the core themes that students will explore as their knowledge of cybersecurity continues to evolve. Security technologies and tools will be examined and assessed with consideration of cybersecurity standards and IT governance frameworks. Collaborating with peers, students will critically analyse and assess potential security risks to an enterprise system, culminating in the development and recommendation of an IT solution to secure its digital infrastructure. These skills will be developed and utilised further as students move on to their WIL major project.

Pre-requisite: EPT232 Ethical Hacking and Penetration Testing

Assessment Tasks: Report

Delivery Mode: On Campus, Online