Found 236 study abroad units
IFN666 Web and Mobile Application Development
Unit information
- School/discipline
- School of Computer Science
- Study level
- Postgraduate units
- Availability
- Semester 1 (February)
Unit synopsis
This unit provides a technical introduction to web and mobile application development and the software patterns which support them. We will introduce you to JavaScript on both the client and the server side, and you will build applications targeting desktops and mobile devices using modern standards and frameworks such as React and React Native. You will design and implement clean and responsive user interfaces, taking account of accessibility and internationalisation. We will introduce you to server side web computing using node.js and Express. You will understand security threats and their mitigation, and gain practical experience of HTTPS deployment.
Approval required
You can only enrol in this postgraduate unit if you meet the specified requirements and have significant background knowledge in the area of study. After you apply, we will assess the units and your background knowledge and let you know the outcome.
IFN667 Enterprise IoT Systems
Unit information
- School/discipline
- School of Information Systems
- Study level
- Postgraduate units
- Availability
- Semester 1 (February)
Unit synopsis
This is a foundational unit addressing the key technologies, industry examples and case studies, systems concepts and architecture techniques related to Enterprise IoT systems. It aims to provide students with technological expertise in IoT-enabled enterprise systems which supports the integration of business operations and real-time resource management. Students will gain an exposure to key technologies, case studies as well as critical practitioner skills involving systems analysis, design and architecture. These are essential for meeting the demands on IT professionals, for this contemporary and competitive area of IT underpinning the strategic ‘Industry 4.0’ vision for IT seen, for example, in the advanced industrial manufacturing, connected airports, provenance supply chains, smart transportation and other applications. The unit builds on IFN561 Enterprise Systems Lifecycle Management and focuses on IoT technologies transforming modern enterprise systems.
Approval required
You can only enrol in this postgraduate unit if you meet the specified requirements and have significant background knowledge in the area of study. After you apply, we will assess the units and your background knowledge and let you know the outcome.
IFN692 Interaction Design for Emerging Technologies
Unit information
- School/discipline
- School of Computer Science
- Study level
- Postgraduate units
- Availability
- Semester 2 (July)
Unit synopsis
In IFN692 you will learn how to use Interaction Design to imagine, prototype, evaluate, and critique Future and Emerging Technologies such as the Internet of Things, Augmented and Virtual Reality, Artificial Intelligence, Machine Learning, and Social Robotics. Interaction Design and User Centred methods allow to look beyond the new technologies, to the new experiences, business practices, and forms of social interactions that these technologies will make possible, which is key to leading design innovation. IFN692 builds on the methods and principles encountered in IFN591 – Understanding the User Experience - and will add tools, methods, knowledge and critical skills that you will apply in the context of a design project, from exploring the social and cultural context of the design intervention, to envisioning possible futures for, with, and by users, up to prototyping and testing the interaction with emerging technologies in a realistic setting.
Approval required
You can only enrol in this postgraduate unit if you meet the specified requirements and have significant background knowledge in the area of study. After you apply, we will assess the units and your background knowledge and let you know the outcome.
IFN711 IT Industry Project
Unit information
- School/discipline
- School of Information Systems
- Study level
- Postgraduate units
- Availability
- Semester 1 (February)
Unit synopsis
The aim of this unit is to help you apply skills previously attained in your degree in an advanced problem domain and to enable you to conduct a well-defined project with specific outcomes. The project addresses an industry problem through the application of IT theories, tools and techniques. You will develop project management skills to lead teams in complex and changing environments. This unit introduces a range of traditional and contemporary project management approaches.
Approval required
You can only enrol in this postgraduate unit if you meet the specified requirements and have significant background knowledge in the area of study. After you apply, we will assess the units and your background knowledge and let you know the outcome.
IFN712 Research in IT Practice
Unit information
- School/discipline
- School of Computer Science
- Study level
- Postgraduate units
- Availability
- Semester 2 (July)
Unit synopsis
As a professional, regardless of your discipline or context, you will be required to gather the best available evidence to make decisions, solve problems, and establish best practice, as well as innovate and develop. This unit will develop your understanding and higher order thinking related to the key concepts, principles, methodologies regarding research and provide the skills required in to perform research within professional settings and professional practice.
Approval required
You can only enrol in this postgraduate unit if you meet the specified requirements and have significant background knowledge in the area of study. After you apply, we will assess the units and your background knowledge and let you know the outcome.
IGB100 Game Studio 1: Mini-Game Development
Unit information
- School/discipline
- School of Computer Science
- Study level
- Undergraduate units
- Availability
- Semester 1 (February)
Unit synopsis
In Game Studio 1, you will begin to apply your emerging discipline knowledge within small scale game development activities. Game Studio units are fundamental to the BGIE, and focus on the integration of design principles with practical development skills. In this first studio unit, you will have the opportunity to experience, at a small scale, all facets of game development, from animation and design, through to implementation and production. In this unit you will collaborate in transdisciplinary teams to engage in the tasks that designers and developers carry out in order to create engaging mini-games that utilise simple game mechanics and rules. This unit aims to provide you with foundational knowledge of game development activity, and to nurture the skills necessary for execution of effective designs in an integrated studio environment. Importantly, it will be invaluable in assisting you to build your professional portfolio.
Approval required
You can only enrol in this undergraduate unit if you meet the specified requirements and have significant background knowledge in the area of study. After you apply, we will assess the units and your background knowledge and let you know the outcome.
IGB120 Introduction to Game Design
Unit information
- School/discipline
- School of Computer Science
- Study level
- Undergraduate units
- Availability
- Semester 1 (February)
Unit synopsis
It is crucial that a game designer understands how to create a game world, the rules that govern game play and other high level design tasks, as the result of these activities can determine whether the player finds the game enjoyable or not. This unit provides an introduction to game design, by starting with high level conceptual design tasks before moving to more concrete tasks. You will develop practical and theoretical knowledge of game design issues such as: how game systems work, how to define rules for the world, and how to balance the rules to ensure enjoyable game play. At the end of the unit, students will have worked individually and in a small project team to demonstrate their understanding of these concepts. In this unit you will analyse relevant theory, create a design document, build a prototype and undertake playtesting.
Approval required
You can only enrol in this undergraduate unit if you meet the specified requirements and have significant background knowledge in the area of study. After you apply, we will assess the units and your background knowledge and let you know the outcome.
IGB180 Games History, Culture and Psychology
Unit information
- School/discipline
- School of Computer Science
- Study level
- Undergraduate units
- Availability
- Semester 1 (February)
Unit synopsis
This unit focuses on the social, cultural, sustainability and political aspects of videogames. It serves as a survey of topics useful for those interested in the study and creation of serious games, games for health, entertainment games, virtual and augmented reality, gamification and interactive environments. The units aims to help you become well played, well versed, and well read in and of games through the development of critical media skills. By the end of the semester you will be able to speak to current academic and industry trends around games, critically assess media and studies about games for veracity and reliability, leverage critical and creative thinking to express your positions on games, and converse about the history, social-cultural and sustainability impact of games.
IGB200 Game Studio 2: Applied Game Development
Unit information
- School/discipline
- School of Computer Science
- Study level
- Undergraduate units
- Availability
- Semester 2 (July)
Unit synopsis
In Game Studio 2 you will develop a digital game-based experience to meet a defined project brief. Game Studio units are fundamental to the BGIE, and focus on the integration of design principles with practical development skills. In many contexts, game designers and developers work towards a predefined design brief, and in this unit you will build a game to meet the requirements set by an industry partner. You will work in transdisciplinary teams to create this interactive experience, applying your discipline expertise and emerging project management skills. You will employ an agile development process that allows for evaluation of the emerging product. The processes employed throughout the unit will extend your understanding of industry practices, allowing you to develop the professional and interpersonal skills required to succeed within this profession.
Approval required
You can only enrol in this undergraduate unit if you meet the specified requirements and have significant background knowledge in the area of study. After you apply, we will assess the units and your background knowledge and let you know the outcome.
IGB283 Game Engine Theory and Application
Unit information
- School/discipline
- School of Computer Science
- Study level
- Undergraduate units
- Availability
- Semester 2 (July)
Unit synopsis
This unit will introduce you to the mathematics for computer graphics and games. Instead of just teaching mathematics, this unit focuses on taking mathematical theory and learning to program small examples in a game engine. The core parts of any game engine are the mathematical representations and algorithms. This unit will give you a basic understanding of the mathematics behind 3D graphics and games and the ability to apply the theory to solve problems in game engine development and software development in related areas. This unit will provide you with foundation knowledge and skills for programming and using 3D game engines. It is a pre-requisite for following advanced units that will build on these skills to provide you with enough knowledge to develop your own game engine and to have a deeper insight into popular commercial engines and tools used in the course.
Approval required
You can only enrol in this undergraduate unit if you meet the specified requirements and have significant background knowledge in the area of study. After you apply, we will assess the units and your background knowledge and let you know the outcome.
IGB321 Immersive Game Level Design
Unit information
- School/discipline
- School of Computer Science
- Study level
- Undergraduate units
- Availability
- Semester 2 (July)
Unit synopsis
Level design is a critical, key component to any video game, no matter how abstract or realistic. It is crucial that a level designer has the ability to lay out levels, construct levels within the game engines, plan gameplay scenarios and place non-player characters. This unit will help students develop these abilities as well as skills such as building terrain, building architecture and spaces, balancing gameplay, integrating narrative elements and goals, playtesting and implementing iterative design improvements, designing lighting and atmospheric effects and other genre-specific level design skills using the Unreal game engine. Students are expected to have some degree of high level game design skills and preliminary scripting abilities for this unit.
Approval required
You can only enrol in this undergraduate unit if you meet the specified requirements and have significant background knowledge in the area of study. After you apply, we will assess the units and your background knowledge and let you know the outcome.
IGB383 AI for Games
Unit information
- School/discipline
- School of Computer Science
- Study level
- Undergraduate units
- Availability
- Semester 2 (July)
Unit synopsis
The core concepts, principles and practices of designing and implementing Artificial Intelligence (AI) within computer games are explored and implemented within this unit. The introduction of modern theoretical models as well as commercial examples provides a foundational understanding of both the history and future of Game AI. This is particularly important when designing natural and/or humanistic behavioural effects of Non-Player Characters (NPC). Knowledge and skills developed during this unit adhere directly to modern Game and AI development and are required of industry practitioners today. You will develop an understanding of the field and develop expertise in addressing modern Game AI algorithms and problems.
Approval required
You can only enrol in this undergraduate unit if you meet the specified requirements and have significant background knowledge in the area of study. After you apply, we will assess the units and your background knowledge and let you know the outcome.
MAB141 Mathematics and Statistics for Medical Science
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 2 (July)
Unit synopsis
This introductory unit is designed to meet the mathematical and statistical requirements of medical science students, particularly students enrolled in Vision Science (OP45). Approximately one quarter of the unit focuses on the mathematical foundations for techniques used in manipulating medical science laboratory data. The remainder of the unit considers a range of relevant statistical techniques, addressing concepts such as which analysis methods may be appropriate for testing a given research hypothesis, how the choice of analysis method is affected by the available data and how to interpret the outcome of the formal analysis. This unit will provide you with an essential foundation in the mathematical and statistical concepts and data analysis methods that will be used in later medical science units.
Approval required
You can only enrol in this undergraduate unit if you meet the specified requirements and have significant background knowledge in the area of study. After you apply, we will assess the units and your background knowledge and let you know the outcome.
MXB100 Introductory Calculus and Algebra
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 1 (February) and Semester 2 (July)
Unit synopsis
This unit builds on high school calculus by exploring derivatives, integrals and differential equations. It also introduces the basic theory of matrices, vectors and complex numbers. The ability to apply these concepts and techniques, and express real-world problems in mathematical language, is essential in quantitative fields such as science, business and technology. This is an introductory unit, which attempts to establish foundational skills that you will extend in subsequent discipline-specific units. This unit is particularly intended for students whose mathematics preparation does not include Queensland Senior Specialist Mathematics, Mathematics C or an equivalent.
MXB101 Probability and Stochastic Modelling 1
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 1 (February)
Unit synopsis
This unit introduces probability and shows you how to apply its concepts to solve practical problems. The unit will lay the foundations for further studies in statistics, operations research and other areas of mathematics and help you to develop your problem-solving and modelling skills. The topics covered include: basic probability rules, conditional probability and independence, discrete and continuous random variables, bivariate distributions, central limit theorem, and introduction to Markov chains. This unit is appropriate for those requiring an introduction to, or a refresher in, probability. The concepts in this unit will be extended in MXB241.
MXB102 Abstract Mathematical Reasoning
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 1 (February)
Unit synopsis
Mathematics is, at its heart, axiomatic: each new mathematical statement follows logically from previous statements and ultimately derives from the axiomatic foundations. This unit establishes the foundations of abstract mathematical reasoning, introducing the view of mathematics as axiomatic and emphasising the role of proof in mathematics. Fundamental concepts and tools including logic and sets, number systems, sequences and series, limits and continuity are covered. The tools established in this unit will serve as a foundation throughout your mathematics studies.
MXB103 Introductory Computational Mathematics
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 2 (July)
Unit synopsis
Many real world phenomena are modelled by mathematical models whose solutions cannot be found analytically. To solve these problems in practice, it is necessary to develop computational methods, algorithms and computer code. This unit will introduce you to numerical methods for addressing foundational problems in computational mathematics such as solving nonlinear ordinary differential equations, finding roots of nonlinear functions, constructing interpolating polynomials of data sets, computing derivatives and integrals numerically and solving linear systems of equations. This is an introductory unit providing foundational skills in computational methods and their practical implementation using relevant computational software. This unit will be essential throughout the remaining parts of your degree. MXB226 Computational Methods 1 builds on this unit by extending your computational and programming skills to more challenging problems and more sophisticated algorithms.
MXB105 Calculus and Differential Equations
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 1 (February) and Semester 2 (July)
Unit synopsis
Calculus and differential equations are used ubiquitously throughout mathematics, statistics and operations research. In this unit, you will build upon the foundations of calculus established in high school or in earlier university mathematics study, to greatly enhance your repertoire of theory and practice in these areas. The application of calculus and differential equations in the description and modelling of real-world problems will also be considered. This unit will extend your problem-solving skills, range of knowledge and use of techniques in differential and integral calculus. These theoretical concepts and their applications will be pursued further in MXB202 Advanced Calculus.
MXB106 Linear Algebra
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 1 (February) and Semester 2 (July)
Unit synopsis
This is a foundational unit in linear algebra which introduces core algebraic concepts, as well as theoretical and practical tools, that will be of central importance to solving real-world problems in science and engineering by mathematical methods. Linear algebra is fundamental to most branches of mathematics, finding widespread applications in mathematical modelling, statistics, finance, economics, information technology, operations research, and computational mathematics. This unit aims to cultivate a deep understanding of the basic mathematical structures of linear algebra, including vector spaces and linear combinations, matrix transformations, invariant subspaces and eigenvalue problems. These theoretical concepts and their applications will be pursued further in MXB201 Advanced Linear Algebra.
MXB107 Introduction to Statistical Modelling
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 2 (July)
Unit synopsis
Statistical modelling provides methods for analysing data to gain insight into real-world problems. The aim of this unit is to introduce a wide range of fundamental statistical modelling and data analysis techniques, and demonstrate the role they play in drawing inferences in real-world problems. This unit is designed around the exploration of contemporary and important issues through the analysis of real data sets, while simultaneously and necessarily building your statistical modelling expertise. You will learn how to propose research questions, analyse real data sets to attempt to answer these questions, and draw inferences and conclusions based on your findings. The importance of ethical considerations when dealing with real data sets will be emphasised. The R programming language will be introduced, and you will gain experience and build your expertise in using this industry-leading software to conduct statistical analyses.
MXB161 Computational Explorations
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 1 (February) and Semester 2 (July)
Unit synopsis
This unit introduces you to techniques of computation and simulation across a range of application areas in Science, Technology, Engineering and Mathematics (STEM). Computation and simulation are cornerstones of modern practice across STEM; practitioners skilled in these areas can explore behaviours of real-world systems that would be impractical or impossible to undertake using only theoretical or experimental means. In this introductory unit, you will develop your computation and simulation skills through individual and collaborative problem-solving activities. Further exploration is available through the second major or minor in Computational and Simulation Science.
Approval required
You can only enrol in this undergraduate unit if you meet the specified requirements and have significant background knowledge in the area of study. After you apply, we will assess the units and your background knowledge and let you know the outcome.
MXB201 Advanced Linear Algebra
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 1 (February)
Unit synopsis
Much of the power of linear algebra stems from its widely-applicable collection of analytical tools for applied problem-solving. This unit builds upon your knowledge of linear algebra to explore more advanced techniques and applications of matrices and vectors. Furthermore, you will learn how much of what is familiar about linear algebra in Euclidean space can be abstracted to develop a more generally applicable theory. Hence you will develop an appreciation for the power and versatility of linear algebra across the mathematical sciences.
Approval required
You can only enrol in this undergraduate unit if you meet the specified requirements and have significant background knowledge in the area of study. After you apply, we will assess the units and your background knowledge and let you know the outcome.
MXB202 Advanced Calculus
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 2 (July)
Unit synopsis
Advanced calculus is fundamental to the study of applied mathematics and related quantitative disciplines such as physics, physical chemistry and engineering. This unit introduces you to new skills and methodologies in multivariable and vector calculus that are essential to the study of science, technology and engineering, and it also provides you with the necessary background to go on to more advanced study in applied mathematics, such as partial differential equations and advanced mathematical modelling. This unit builds on your introductory calculus and linear algebra skills developed in MXB105 Calculus and Differential Equations and MXB106 Linear Algebra, and will further develop your ability to decompose complex problems into smaller components, resolve these smaller components and hence solve the original problem.
Approval required
You can only enrol in this undergraduate unit if you meet the specified requirements and have significant background knowledge in the area of study. After you apply, we will assess the units and your background knowledge and let you know the outcome.
MXB225 Modelling with Differential Equations 1
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 1 (February)
Unit synopsis
Differential equations are commonly used to formulate mathematical models of real-world phenomena from across science, engineering, economics and beyond. This unit builds on your earlier studies of differential equations to consider how such models are constructed, how to obtain analytical solutions, and how to use these models and their solution to gain insight into real-world processes.
Approval required
You can only enrol in this undergraduate unit if you meet the specified requirements and have significant background knowledge in the area of study. After you apply, we will assess the units and your background knowledge and let you know the outcome.
MXB226 Computational Methods 1
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 2 (July)
Unit synopsis
This is a foundational unit for Computational Mathematics. It introduces the design and implementation of mathematical models that can then be solved using techniques in Computational Mathematics. These techniques will be analysed for important properties such as efficiency, stability, convergence and error. The main topics that will be covered include: finite difference methods for models of heat diffusion in two dimensions; direct and iterative methods for linear systems; efficient storage of data; approximation; numerical integration; numerical methods for ordinary differential equations.
Approval required
You can only enrol in this undergraduate unit if you meet the specified requirements and have significant background knowledge in the area of study. After you apply, we will assess the units and your background knowledge and let you know the outcome.
MXB232 Introduction to Operations Research
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 1 (February)
Unit synopsis
Operations Research (OR) is a mathematical approach to decision making. The predominant goal of OR is to determine how best to design, operate, manage, and predict behaviour of complex systems. The cornerstone of OR is formulating and solving mathematical or computational models to extract the best, or optimal, decisions. The purpose of this introductory unit is to introduce students to foundational OR methods and techniques to solve management and optimisation problems. It provides the theoretical foundation for future studies in OR and builds upon earlier studies in linear algebra. This unit aims to develop students’ ability to apply various OR methods, algorithms, and techniques in the solution of practical, real-world problems in contexts such as the environment, agriculture, industry, finance, and healthcare.
Approval required
You can only enrol in this undergraduate unit if you meet the specified requirements and have significant background knowledge in the area of study. After you apply, we will assess the units and your background knowledge and let you know the outcome.
MXB241 Probability and Stochastic Modelling 2
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 2 (July)
Unit synopsis
It is important to develop skills and knowledge in both statistics and mathematics. Building on the methodology and skills developed in previous studies in probability and stochastic modelling, this unit provides you with formal statistical tools such as stochastic process models and statistical methods for theoretical and applied development. These methods are useful in a wide range of areas, from communication systems and networks to traffic to law to biology to financial analysis, and link with other modern areas of mathematics. This unit will provide opportunities to learn how to build statistical models of real world processes, acknowledging the assumptions inherent in selected models. The skills developed in this unit will be integral in the understanding of material throughout your studies in statistics and mathematical modelling.
Approval required
You can only enrol in this undergraduate unit if you meet the specified requirements and have significant background knowledge in the area of study. After you apply, we will assess the units and your background knowledge and let you know the outcome.
MXB242 Regression and Design
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 1 (February)
Unit synopsis
This is an intermediate applied statistics unit addressing the collection (design of experiments), exploration, summarisation, analysis and reporting of continuous data. You will analyse data using general linear models and communicate findings using oral and written methods. You will use mathematical and statistical software, such as R, to enhance your data analysis and develop your statistical programming skills. The application of statistical data analysis is pervasive across Engineering, Science, Health and Business. Hence, this unit is suitable for both Mathematics students and students in other disciplines. This unit is intended for students who have completed foundation studies in statistical data analysis and who wish to develop further skills in applied statistics. MXB344 Generalised Linear Models builds on this unit by considering the analysis of binary, categorical and count data. MXB343 Modelling Dependent Data extends this unit for data that are not independent.
Approval required
You can only enrol in this undergraduate unit if you meet the specified requirements and have significant background knowledge in the area of study. After you apply, we will assess the units and your background knowledge and let you know the outcome.
MXB261 Modelling and Simulation Science
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 2 (July)
Unit synopsis
With the rapid development in both computing hardware and its application to advanced scientific problems that require computational solutions, there is a need for IT, Maths and Science students to have a practical understanding of Computational and Simulation Science. This unit aims to provide you with the knowledge to apply computational simulation techniques in a selection of application areas where the scientific problems are characterised by widely varying scales, both in space and time. You will use relevant programming softwares to develop and implement simulation algorithms together with analysis of resulting data using multi-dimensional visualisation techniques. You can further develop visualisation skills through units MXB262 Visualising Data and MXB362 Advanced Visualisation and Data Science, as well as extending your knowledge of computational science through the unit MXB361 Aspects of Computational Science.
Approval required
You can only enrol in this undergraduate unit if you meet the specified requirements and have significant background knowledge in the area of study. After you apply, we will assess the units and your background knowledge and let you know the outcome.
MXB262 Visualising Data
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 1 (February)
Unit synopsis
Our world has an unprecedented amount of available data - especially in STEM, where generating and working with data is core to our fields. The ability to visualise data is critical for exploring and communicating science and engineering findings. Modern visualisation theory and techniques allow us to efficiently explore and communicate with data. This unit introduces data visualisation concepts, theories, and techniques, along with practical experience exploring and dynamically visualising complex data. You will develop an understanding of the fundamental concepts in data visualisation through practical, real-world examples in contexts such as the environment, agriculture, industry, engineering, and healthcare. You will follow the visualisation pipeline from importing, to visualising, to communicating data. We focus on effective visual communication and high-quality, fit-for-purpose representations of 2D, multi-dimensional, network, and spatial data.
Approval required
You can only enrol in this undergraduate unit if you meet the specified requirements and have significant background knowledge in the area of study. After you apply, we will assess the units and your background knowledge and let you know the outcome.