Found 236 study abroad units
MXB322 Partial Differential Equations
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 1 (February)
Unit synopsis
Partial differential equations are the foundation of mathematical models that describe evolving processes exhibiting spatial and temporal variation. In this unit you will learn how the study of such equations synthesises and extends many of the concepts you have learned previously in linear algebra and calculus. The powerful frameworks of Fourier analysis and integral transforms that underpin partial differential equations provide a means for obtaining solutions to a number of equations of unparalleled physical importance, and for understanding the behaviour of mathematical models more generally.
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.
MXB325 Modelling with Differential Equations 2
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 2 (July)
Unit synopsis
Among the variety of differential equations encountered in applied mathematics, equations modelling the transport of quantities such as mass and energy are especially important. This unit significantly extends your repertoire by considering models with greater mathematical complexity than you have previously encountered, drawn from and representative of a variety of important real-world applications. Such complexity necessitates greater ingenuity in the analysis and solution of the governing equations, which will harness and extend your full knowledge of modelling with 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.
MXB326 Computational Methods 2
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 1 (February)
Unit synopsis
Advanced computational methods underpin essentially all modern computer simulations of complex real-world processes. This unit will significantly extend your toolset of computational methods, particularly for the solution of complex partial differential equation models of real phenomena. You will gain critical expertise and experience at building practical, efficient computer codes which will leverage advanced theoretical and algorithmic considerations that draw upon your full range of mathematical and computational knowledge and skills in linear algebra and calculus.
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.
MXB328 Work Integrated Learning in Applied and Computational Mathematics
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 2 (July)
Unit synopsis
Throughout your course, you have been building your discipline skills and your understanding of contemporary industry practice. This capstone unit provides you with the opportunity to bring together the skills that you have developed throughout the applied and computational mathematics major, combining them in a coherent manner to solve a significant and relevant real-world problem from industry. Your experience will reflect the genuine practice of an applied mathematician in the workforce.
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.
MXB332 Optimisation Modelling
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 1 (February)
Unit synopsis
Operations research techniques are used in numerous industries and are critical for decision making. These industries need graduates who can apply techniques of mathematical modelling, statistical analysis, mathematical optimisation and simulation and can implement these techniques using appropriate computer software packages. This unit will build upon the content of MXB232 by introducing more advanced “intermediate” level operations research methods and techniques. The topics addressed in this subject are vital in this field and are critical for advanced applications and studies in this field. Topics covered include: model building in mathematical programming, modelling language - (e.g. OPL, Gurobi or equivalent), integer programming and branch-and-bound method, introduction to inventory theory, dynamic programming; and computer solutions of advanced linear programming problems and their analysis.
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.
MXB334 Operations Research for Stochastic Processes
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 2 (July)
Unit synopsis
This unit provides you with the opportunity to apply your knowledge and skills in operations research to guide decision-making for complex real-world problems. Your previous learning in deriving and solving operations research problems was mostly dealing with a decision making in a deterministic setting. The focus here is to optimize decision making when there is uncertainty and stochastic variables. Combined with the operations research expertise you have acquired over your degree, you will be able to formulate and solve these complex decision problems using computational tools.
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.
MXB338 Work Integrated Learning in Operations Research
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 2 (July)
Unit synopsis
Throughout your course, you have been building your discipline skills and your understanding of contemporary industry practice. This capstone unit provides you with the opportunity to bring together the skills that you have developed throughout the operations research major, combining them in a coherent manner to solve a significant and relevant real-world problem from industry. Your experience will reflect the genuine practice of an applied mathematician in the workforce.
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.
MXB341 Statistical Inference
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 1 (February)
Unit synopsis
This is an advanced unit in mathematical statistics covering the theory of point estimation and inference using both classical and Bayesian methods. Statistical inference is the practice of both estimating probability distribution parameters and using statistical testing to validate these results, and plays a crucial role in research, and many real-world applications. You will use the methods of least squares, moments, and maximum likelihood to construct estimators of probability distribution parameters and evaluate them according to criteria including completeness, sufficiency, and efficiency. Results will be computed both analytically and numerically using software such as R. You will learn and apply the Neyman-Pearson Lemma for the construction of statistical tests, including to real-world applications, and learn Bayesian statistics for finding posterior distributions of parameters and evaluating their performance. Results will be communicated both orally and in written form.
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.
MXB343 Modelling Dependent Data
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
Unit synopsis
In many studies, observations can be correlated. For example, we often see temporal lingering effects over time in time series, or genetic effects in litters or repeated measures from patients in medical trials. This unit is about using statistical methodology to achieve efficient inference that appropriately takes into account dependencies in such datasets. Many examples and analysis using software such as R packages are involved.
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.
MXB344 Generalised Linear Models
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 1 (February)
Unit synopsis
For data that arise in, for example, science and commerce, it is often unreasonable to assume they are continuous random variables from a normal distribution. It is likewise unlikely that data are handed to an analyst in a state ready for advanced statistical techniques. In this unit you will be introduced to modelling techniques and methodology for the explanation of non-normal data. You will also learn, by way of a realistic project, techniques to overcome common issues with shaping data for analysis. Hence, you will be well prepared in the application of appropriate statistical practice when such data are encountered in the real world.
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.
MXB348 Work Integrated Learning in Statistics
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 2 (July)
Unit synopsis
Throughout your course, you have been building your discipline skills and your understanding of contemporary industry practice. This capstone unit provides you with the opportunity to bring together the skills that you have developed throughout the statistics major, combining them in a coherent manner to solve a significant and relevant real-world problem from industry. Your experience will reflect the genuine practice of a statistician in the workforce.
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.
MXB361 Aspects of Computational Science
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 1 (February)
Unit synopsis
With the rapid development in computing hardware, algorithms, AI and their applications to advanced scientific problems that require computational solutions, there is a need for IT, Maths, Science and Engineering students to have a practical understanding of Computational Science. You will develop advanced knowledge and skills in computational techniques for solving real-world in numerical computing environments such as MATLAB. This unit aims to provide you with the knowledge to apply computational techniques for problem-solving in a variety of application areas you are likely to encounter in your early careers, whether in industry or in further study. This unit will equip you with an understanding of different application areas requiring modern computational solutions, particularly as they relate to complex systems; you will have the opportunity to implement such computational techniques and analyse and interpret the resulting 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.
MXB362 Advanced Visualisation and Data Science
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 2 (July)
Unit synopsis
Data visualisation is an essential element of modern computational and data science. It provides powerful tools for investigating, understanding, and communicating the large amounts of data that can be generated by computational simulations, scientific instruments, remote sensing, or the Internet of Things. The aim of this unit is to explore the issues, theories, and techniques of advanced data visualisation. This unit develops theoretical and practical understandings of the major directions and issues that confront the field. A selected number of advanced data visualisation techniques will be examined in detail through specific examples. The practicals will reinforce lecture content and extend your applied skills and knowledge in data visualisation, including specific methods. A focus of the unit is the development of real world data visualisation skills and experience, based on a major data visualisation case study.
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.
MXN500 Statistical Data Analysis
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Postgraduate units
- Availability
- Semester 1 (February)
Unit synopsis
Appropriate application of statistical methods is essential in many quantitative roles. The focus of this unit is on applying mathematical and statistical methods in real-world contexts. You will look for meaningful patterns and model data to increasing levels of complexity. In particular, we will cover data and variables, visualisation, basic probability, hypothesis testing, and linear regression. You will also learn how to select and apply appropriate quantitative methods using software such as R, an open source statistical software. You will practice your quantitative skills using real data from scientists, business, and governments. This unit is appropriate for those requiring an introduction to, or a refresher in, statistics. The concepts in this unit will be extended in MXN600.
MXN600 Advanced Statistical Data Analysis
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Postgraduate units
- Availability
- Semester 2 (July)
Unit synopsis
This advanced statistics unit will introduce modern statistical methods of data analytics that are frequently used in industry and government to solve real-world problems. It introduces modelling techniques that can be used when it is unreasonable to assume the data are continuous random variables from a normal distribution and/or that the expected value of the random variable can be modelled as a linear combination of regression parameters. This is a Masters level unit, and the knowledge and skills developed in this unit are relevant to those studying advanced data analytics. Further studies in data analytics and data science will most likely build on this unit by extending your analytical skills through industry or research-based projects.
MZB125 Introductory Engineering Mathematics
Unit information
- School/discipline
- School of Mathematical Sciences
- Study level
- Undergraduate units
- Availability
- Semester 1 (February) and Semester 2 (July)
Unit synopsis
Professional engineers have a "conceptual understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline" (Engineers Australia Stage 1 Competency Standard for Professional Engineer). This unit will serve as the transition from high school mathematics to university, particularly if you have not studied Queensland Specialist Mathematics (formerly called Senior Mathematics C) or equivalent. You will learn about elementary functions, their derivatives and integrals, the algebra of complex numbers, and vectors and matrices. Mathematical techniques and problem solving skills are employed in a range of mathematical exercises and contextualised problems, illustrating how these concepts and techniques are used in engineering systems. In future units you will continue to apply the mathematical knowledge and skills you have learned in this unit to increasingly complex problems.
PCB150 Biomedical Physics
Unit information
- School/discipline
- School of Earth and Atmospheric Sciences
- Study level
- Undergraduate units
- Availability
- Semester 2 (July)
Unit synopsis
This unit aims to provide Biomedical and Allied Health students with an introduction to the physical properties and processes that underlie the science and technologies used in those fields. Professionals in the applied sciences require an understanding of the processes involved in making and recording measurements and of the physical principles that underlie the parameters being measured and the instruments being used to make those measurements. The unit introduces you to the processes of measurement, and of estimating, presenting and interpreting the uncertainties associated with measurements. The physics of mechanics, heat, sound and light will be introduced and explained to enable you to understand the parameters being measured and the limits of the measurement process. The unit will include a broad introduction to the imaging technology underpinning the diagnosis of many diseases.
PCB240 Optics 1
Unit information
- School/discipline
- School of Chemistry and Physics
- Study level
- Undergraduate units
- Availability
- Semester 1 (February)
Unit synopsis
A unit in basic optics is an essential part of any course for optometrists. The eye is an optical instrument that collects and images light to provide our valuable sense of vision. It is important that we know how to quantify and measure light, and control it in lamp sources, instruments and in detector systems. This unit is specially designed to cover a range of topics relevant to optometrists exploring these aspects of light. You will solve a range of practical problems using the principles of geometrical optics, reflection and refraction from surfaces and thin lenses. The relationships between photometric quantities such as flux, intensity, illumination and luminance will be explored. How the eye perceives colour and its quantitative and qualitative determination through CIE chromaticity coordinates will be investigated. Physical optics will be used to examine monochromatic and chromatic aberrations, the wave nature of light and the occurrence of interference and diffraction.
PCB272 Radiation Physics
Unit information
- School/discipline
- School of Chemistry and Physics
- Study level
- Undergraduate units
- Availability
- Semester 1 (February)
Unit synopsis
Radiographers require a basic knowledge of general physics and more detailed theoretical background to the physical basis behind the equipment design, construction and materials and the increasing technological support for developing modalities. The aim of this unit is to provide you with an understanding of radiation physics related to x-ray production and radiographic practice and how radiation interacts with matter. You will learn about the basic physics of radiation and radioactivity, interaction of radiation with matter, radiation safety and the physics underpinning X-ray imaging. You will also acquire the basic knowledge of the physical principles of X-ray imaging and radiotherapy systems.
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.
PCB675 Radiation Safety and Biology
Unit information
- School/discipline
- School of Chemistry and Physics
- Study level
- Undergraduate units
- Availability
- Semester 2 (July)
Unit synopsis
This unit covers radiation protection and the biological effects of radiation on the human body. It is aimed towards those who are likely to be working with ionizing radiation in the workplace.
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.
PCN112 Medical Imaging Science
Unit information
- School/discipline
- School of Chemistry and Physics
- Study level
- Postgraduate units
- Availability
- Semester 2 (July)
Unit synopsis
This unit offers an introduction to nuclear medicine, radioactive decay, radionuclide production, imaging systems and internal dosimetry. There is a strong emphasis on the application of new technologies in the clinical discipline of nuclear medicine. The second part offers an introduction to programming techniques and algorithms and digital image processing techniques that are important for the practicing medical physicist. The techniques will be authentically applied to different types of medical images preparing you for the workplace on graduation.
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.
PCN113 Radiation Physics
Unit information
- School/discipline
- School of Chemistry and Physics
- Study level
- Postgraduate units
- Availability
- Semester 1 (February)
Unit synopsis
This unit includes the following: radioactivity and the interaction of ionising radiation with matter; applied radiation counting techniques; radiation detectors; radiation dosimetry.
PCN211 Physics of Medical Imaging
Unit information
- School/discipline
- School of Chemistry and Physics
- Study level
- Postgraduate units
- Availability
- Semester 1 (February)
Unit synopsis
Support for clinical imaging systems is an integral part of the Medical Physics profession. This requires an understanding of not only electronics and software, but also the fundamental physics underpinning the process of imaging. The aim of this unit is to provide you with a solid understanding of the physics behind three common medical imaging modalities: Computed Tomography, Magnetic Resonance Imaging and ultrasound imaging. These techniques complement each other both in terms of the type of radiation used (ionising radiation, radio waves and acoustic waves) and in terms of the imaging utility; therefore, this combination of techniques provides a good introduction into the diverse and rapidly developing field of medical imaging. You will learn about the interaction of these types of radiation with matter, the basic mathematical principles of image formation, the factors determining image contrast and ways to modulate contrast, and the imaging common hardware.
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.
PCN212 Radiotherapy
Unit information
- School/discipline
- School of Chemistry and Physics
- Study level
- Postgraduate units
- Availability
- Semester 2 (July)
Unit synopsis
This unit provides an overview of the application of physics to radiotherapy including theoretical and practical aspects of the major topics in radiotherapy physics. The unit builds on your previous knowledge of radiation physics and applies it to radiotherapy.
PCN214 Radiation Protection
Unit information
- School/discipline
- School of Chemistry and Physics
- Study level
- Postgraduate units
- Availability
- Semester 2 (July)
Unit synopsis
This unit covers radiation protection of humans, primarily aimed at radiation in the workplace. Topics include sources of radiation, effects of ionizing radiation on the human body, radiation protection in diagnostic radiology, and laser safety.
PCN520 Project (FT)
Unit information
- School/discipline
- School of Chemistry and Physics
- Study level
- Postgraduate units
- Availability
- Semester 1 (February) and Semester 2 (July)
Unit synopsis
New and exciting technologies are playing an increasingly important role in everyday life. Modern healthcare is a good example of a field where technology has had a huge impact in the way patients are diagnosed and treated. Graduates are increasingly involved in the research and development of new technologies and also in its translation and implementation into clinical use. This unit aims to develop furthe your skills for carrying out such work in the form of a research project. The project may be carried out in collaboration with a hospital or industry. This unit aims to introduce and improve your skills in carrying out research work in the form of a short research project.
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.
PCN540-1 Project (PT)
Unit information
- School/discipline
- School of Chemistry and Physics
- Study level
- Postgraduate units
- Availability
- Semester 1 (February) and Semester 2 (July)
Unit synopsis
New and exciting technologies are playing an increasingly important role in everyday life. Modern healthcare is a good example of a field where technology has had a huge impact in the way patients are diagnosed and treated. Graduates are increasingly involved in the research and development of new technologies and also in its translation and implementation into clinical use. This unit aims to develop further the student's skills for carrying out such work in the form of a research project. The project may be carried out in collaboration with hospitals or industry. This unit aims to introduce and improve the students skills in carrying out research work in the form of a short research project. (48 credit points achieved at completion of PCN540-1 and PCN540-2.)
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.
PCN540-2 Project (PT)
Unit information
- School/discipline
- School of Chemistry and Physics
- Study level
- Postgraduate units
- Availability
- Semester 1 (February) and Semester 2 (July)
Unit synopsis
New and exciting technologies are playing an increasingly important role in everyday life. Modern healthcare is a good example of a field where technology has had a huge impact in the way patients are diagnosed and treated. Graduates are increasingly involved in the research and development of new technologies and also in its translation and implementation into clinical use. This unit aims to develop further the student's skills for carrying out such work in the form of a research project. The project may be carried out in collaboration with hospitals or industry. This unit aims to introduce and improve the students skills in carrying out research work in the form of a short research project. (48 credit points achieved at completion of PCN540-1 and PCN540-2.)
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.
PCN701 Topics in Advanced Chemistry 1
Unit information
- School/discipline
- School of Chemistry and Physics
- Study level
- Postgraduate units
- Availability
- Semester 1 (February)
Unit synopsis
The complexity of chemical systems studied in a research program and the sophistication of the modern instrumentation demand deeper theoretical understanding than that acquired in an undergraduate program. This unit provides students with the appropriate advanced level theoretical and practical knowledge necessary for the completion of their research program and for a research career in the academia and the relevant industry. The exact content of the unit depends of the nature of the research project that the student is undertaking. However, this could typically include a selection of topics such as Advanced Materials Characterisation Techniques, Advanced Chemometrics Techniques, Advanced Chemical Testing and Calibration, and Advanced Methods of Data Interpretation.
PCN801 Topics in Advanced Chemistry 2
Unit information
- School/discipline
- School of Chemistry and Physics
- Study level
- Postgraduate units
- Availability
- Semester 2 (July)
Unit synopsis
The complexity of the chemical systems studied in a research program and the sophistication of the instrumentation used demand that deeper theoretical understanding than that acquired in an undergraduate program. The aims of this unit are to extend and deepen the theoretical and practical background required for undertaking a research program and to provide the candidate with the appropriate theoretical and practical background, at an advanced level, necessary for the completion of a research program.