Bachelor of Game Programming

Maths for Games introduces students to advanced mathematical principles and techniques used in game programming. The subject focuses on the application of mathematics to solve practical problems encountered in game programming, including concepts such as vectors, matrices, geometry, trigonometry, and physics. Students will explore how these mathematical tools are used to create realistic movement, 3D environments, and interactive gameplay mechanics. By the end of the subject, students will be able to use mathematics to enhance game mechanics, implement realistic movement systems, and create immersive gaming experiences.

Pre-requisite: GAM102 Game Programming I

Delivery Mode: On Campus, Online

In this subject, students are introduced to the historical and contemporary application of computer graphics. They will explore and discuss the fundamental principles of graphics pipelines, rendering techniques and Graphic Processing Unit (GPU) programming. Using computer graphics Application Programing Interfaces (APIs), students will utilise appropriate rendering techniques to solve a variety of contemporary computer graphics application requirements. This subject aims to provide students with the theoretical and practical foundation in computer graphics to support emerging computing industry requirements.

Pre-requisite: MAT101 Mathematics 1, ISE102 Introduction to Software Engineering

Assessment Tasks: Video Presentation, Workbook, Graphical Application

Delivery Mode: On Campus, Online

Game Programming II builds upon the foundational principles introduced in Game Programming I, providing students with a deeper understanding of the programming and design skills required for game development.

In this subject, students will engage with an industry-standard game engine and programming language, further developing their abilities to design, implement, and debug games. Emphasis will be placed on breaking down complex game development problems into smaller, manageable tasks and applying object-oriented programming concepts to solve these challenges efficiently. The subject will also cover key industry-standard practices in code management and version control, providing students with valuable tools to effectively manage complex software projects. By the end of this subject, students will be able to respond effectively to game design briefs and contribute meaningfully to the development of engaging, high-quality games.

Pre-requisite: GAM101 Game Programming I

Delivery Mode: On Campus, Online

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

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. 

Assessment Tasks: Software Project and Journal

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

Complex graphical programming topics are explored, and tool construction is introduced. The analysis requirements for tools are discussed to increase the likelihood of designing a useful tool. Students expand on already existing libraries and create plug-ins for pre-existing technologies. Additionally, students will design, construct, test, and evaluate a 3D scene - drawing on a collection of human-computer interaction, visual design, and game design elements to enhance it. Visual and non-visual elements that enable the creation of the 3D scene are evaluated.

Pre-requisite: ICG202 Introduction to Computer Graphics, MAT102 Maths l

Assessment Tasks: Report

Delivery Mode: On Campus, Online

This subject delves into the rapidly evolving domains of mobile and immersive technologies, focusing on their application in creating engaging games for casual markets. It encompasses the study of mobile platforms and applications of extended reality (XR), emphasising both theoretical foundations and practical implementations. Students will explore the design, development, and deployment of mobile games, considering user experience (UX) principles, interface design, and the integration of sensory modalities. Ethical considerations, industry standards, and emerging trends will also be examined to provide a comprehensive understanding of the field.

Pre-requisite: RGP204 Rapid Game Prototype

Delivery Mode: On Campus, Online

This subject is designed to provide students with professional experience in an area related to their field of study or the career they are working towards. The aim of providing industry specific opportunities is to enable students to develop skills that will enhance their prospects of gaining meaningful employment and building their career for 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 students 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 will develop work ready skills and boost students’ employability while they are studying. There are two work integrated learning options available to students:

Option 1: WIL302

Internship Students are offered the opportunity to work within a professional design environment for an extended period of time. It encourages students to build long-term relationships with the design industry and exposes them to the rigour of applied design practice while building their confidence in adapting to new environments. It also provides a context in which to enhance their communication skills and work collaboratively in a professional arena. Students will undertake a series of research tasks, conducting interviews and gathering data in order to understand the key concepts in managing a professional design practice with emphasis placed on the operation of the professional design environment.

Option 2: WIL302B Industry Live Brief

This subject requires students to respond to criteria set within the context of an Industry Live 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 discipline perspective and draws on both discipline specific and common design 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 live brief.

Assessment Tasks: Internship, e-Journal

Delivery Mode: On Campus, Online

Students develop game project documentation to be used in the development of a game, enhancing their skills in the areas of industry procedures and game design principles. Students draw on learning from previous materials to debate and justify the contents of their design. Teams need to communicate the project, ideas and scope through presentation, documentation, and playable prototypes. During this preproduction period, the environment is studio based, helping students prepare for industry realities.

Pre-requisite: GPR202 3D Graphics Programming, RGP204 Rapid Game Prototype, GDP204 Game Development PlayStation (only a pre-requisite for Bachelor of Game Design & Development and Bachelor of Software Engineering (Game Programming)

Assessment Tasks: Software Prototype, Report

Delivery Mode: On Campus, Online

This subject focusses on developing and producing an industry-ready creative technology project. In the pre-requisite subject (PPR301 Pre-Production Capstone 1), students addressed the pre-production components of a digital game. During this subject, students move from pre-production planning, to product development.

Students will work collaboratively to manage the processes surrounding production, design and development of their projects. They will formulate strategies that can be used to solve problems and adapt to changes and modifications so that the final product aligns with agreed outcomes.

Additionally, students will be required to explore developing technologies that can be incorporated into a digital project, and to reflect on, communicate and document their experiences.

Pre-requisite: PPR301 Pre-Production capstone 1

Assessment Tasks: Software project and report

Delivery Mode: On Campus, Online

Credit: This is a 30-credit point subject

This subject explores the intersection of technology and design across a range of industries in the modern workforce. A broadened understanding of potential career opportunities is provided by challenging existing stereotypes where students’ specialist skills are used. Students are encouraged to analyse interdisciplinary case studies and identify emergent digital trends. Students investigate the concept of function over form to produce viable outcomes as a specialist for the modern workforce. Students collaborate on an interdisciplinary response to a client brief utilising the skills learnt in this subject.

Assessment Tasks: Report, Presentation

Delivery Mode: On Campus, Online

2D Asset Creation utilises traditional art foundation theories and contextualises these practices for the digital domain. The focus of this subject is to develop a strong artistic process in the development of characters, environments and other digital assets related to the games, animation and creative technology industry. Students will create artefacts in digital formats for a variety of uses in digital product development. These artefacts will be supported by rigorous investigation and ideation techniques to develop coherent visual concepts that support a theme or idea.

Assessment Tasks: Art Portfolio, Journal

Delivery Mode: On Campus, Online

In this course students explore the historical, pedagogical, and social foundations of game-based learning and education. Students will evaluate contemporary best-practice in serious game design, development, and assessment, critically assessing the scholarly literature and identifying gaps in game-based learning research and practice. Students will apply what they have learned to the creation of their own digital prototypes, expanding their game design repertoire by confronting the unique challenges associated with developing games to educate, inform, and persuade.

Pre-requisite: GDP102 Game Design Principles and GPF104 Game Production Foundation

Delivery Mode: On Campus, Online

This subject explores the groundwork theory and practice of user experience (UX), user interface (UI) and frontend web development and design. The subject initially covers fundamental concepts in UX and UI design. It then transitions to the fundamentals of front-end development and design by teaching students how to code webpages using HTML and CSS. Students will code their own visual designs using a knowledge base of the fundamentals within these two markup languages. In addition to this, students will learn the basic principles of responsive design, and how web pages need to be designed for a variety of screen based media including phones, tablets, laptops and televisions. This subject gives students a foundation of web based digital skills that are required in a variety of design related career opportunities.

Assessment Tasks: Design Documentation, Webpage Development, Responsive Webpage

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 dynamic web development and database driven web design both with and without frameworks. The traditional backend web language PHP is initially introduced to develop custom web templates that pull data via MySQL. From these fundamentals, students develop custom coded templates using modern content management systems (CMS) such as WordPress. Students will be required to code flexible design solutions to visualise and manage complex and variable content. How to develop custom web solutions for clients and the tools to meet specific design and project requirements is also explored.

Pre-requisite: DIG103 Interaction Design

Assessment Tasks: PHP Web Page, Video, Presentation

Delivery Mode: On Campus, Online

This subject introduces web app development, which is a blend of web design, development, and software engineering. The relationship between data, design and logic are explored in modern frameworks to develop complex web-based interfaces that are reactive and real-time. The subject will examine modern backend and frontend technologies that have changed the approach to designing and developing for the modern web. The subject will also include methods for using dynamic application programming interfaces (APIs), decoding and displaying JavaScript object notation (JSON) to develop dynamic web design.

Pre-requisite: JSF100 JavaScript Fundamentals

Assessment Tasks: 3-5 Webpage Site and 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

This subject explores the programming concepts behind the Python language, giving students an entry into a range of diverse fields that use Python for digital outcomes to extend their career opportunities and capabilities. The subject introduces fundamental programming concepts such as object-oriented programming, algorithms, data manipulation and visualisation methodologies. Students will be required to complete fundamental learning tasks that explore data, incorporate frameworks and external libraries and the visualisation of data with an emphasis on design opportunities implementing the coding concepts of Python.

Pre-requisite: JSF100 Javascript Fundamentals

Assessment Tasks: Programming project, report, interactive application, video

Delivery Mode: On Campus, Online

This subject introduces User Interface (UI) methodologies for designing component libraries for scalable projects. Students will design, develop and code their own library of reusable web design components for future client projects. This subject also introduces alternative web design theories such as atomic structure and Git code project management. Students are required to produce a library of web components within a modern framework in response to a client brief. Students will need to employ all web coding and design skillsets learnt throughout their degree to develop their own feature library.

Pre-requisite: WAD200 Web App Development

Assessment Tasks: Webpage, Webpage Components, Web Development Folder

Delivery Mode: On Campus, Online

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 learn the fundamentals and core concepts of Service Oriented Architecture and characteristics of microservices. They compare microservice architecture with monolithic style, emphasising why the former is better for continuous delivery. They also deal with operational complexities that are created while managing, monitoring, logging and updating microservices, and learn about the tools used to successfully manage, deploy and monitor applications based on microservice.

Pre-requisite: ISE102 Introduction to Software Engineering

Assessment Tasks: Online Test, Report

Delivery Mode: On Campus, Online

In this subject, students will be introduced to the fundamental concepts and methodologies utilised in programming. Students will develop problem solving skills in order to identify appropriate tools and methodologies to address software requirements. Decision logics and iterative programming will be explored and applied through software coding, debugging and testing on various platforms. Lastly, students will produce and present verified and validated software solutions and documentation to meet project goals.

Assessment Tasks: Programming code, Report

Delivery Mode: On Campus, Online

The management of data underpins most aspects of information systems at both theoretical level and the application in real life situations. Data are often stored in a distributed environment and its management requires you to build an understanding of data networking, data communication and network administration. Students will learn fundamental computer networking concepts and terms, including but not limited to network protocols, network topologies, network application architectures, network performance, transmission media, and components of communications cybersecurity. This subject sets the foundations for many subsequent subjects in this course.

Assessment Tasks: Report, Presentation, Action Plan

Delivery Mode: On Campus, Online

In this subject students learn the fundamental elements of Cloud Computing. They identify the building blocks of Cloud Computing including essential characteristics, different service models and how these models differ from each other. In addition, students also develop an understanding of resource pooling and virtualisation in Cloud. They learn about various deployment models in cloud computing and how these deployment models differ from traditional IT deployment models.

Assessment Tasks: Online Test, Test, Report

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

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: Bachelor of Information Technology: NDS203 Network and Database System

Bachelor of Cybersecurity: CC104 Introduction to Cloud Computing

Assessment Tasks: Report, prototype

Delivery Mode: On Campus, Online

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 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 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 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 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 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