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Unit of study_
PHYS3888: Physics Interdisciplinary Project
The ability to work across interdisciplinary boundaries is a crucial skill for tackling problems in our modern world. With quantitative modelling becoming widespread across industry and traditionally qualitative sciences, physicists have a crucial role to play in applying their expertise broadly. In this unit, you will gain an appreciation for the unique skills and ways of thinking that have allowed physicists to contribute to a wide range of real-world problems. This unit contains two components: (i) a lecture and interactive problem-based group-tutorial component on interdisciplinary physics, complex systems, and artificial intelligence, and (ii) an interdisciplinary project-based component. For the project component you will work in small interdisciplinary groups, including students from other 3888 units, to tackle a real-world interdisciplinary problem. For example, students may propose, develop and analyse solutions to challenges in medical imaging, precision sensing or quantum information science using the principles of nuclear magnetic resonance (e.g. What innovations are required to make magnetic resonance imaging more broadly accessible?) Through project-based learning, you will learn to leverage the diverse skills represented in your team, and develop skills in experimental measurement, numerical processing, and statistical modelling. Skills in identifying and solving problems, collecting and analysing data, and communicating your findings to diverse audiences are highly valued in modern research and by employers.
| Code | PHYS3888 |
|---|---|
| Academic unit | Physics Academic Operations |
| Credit points | 6 |
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Prerequisites:
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(PHYS2011 OR PHYS2911 OR PHYS2921) AND (PHYS2012 OR PHYS2912 OR PHYS2922) |
|---|---|
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Corequisites:
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None |
| Prohibitions:
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PHYS3941 or PHYS3991 |
At the completion of this unit, you should be able to:
- LO1. understand how physics knowledge and techniques can be used to solve interdisciplinary problems
- LO2. analyse, simulate, and model real-world data using statistical and numerical modelling techniques
- LO3. collaborate in groups, both within and across disciplinary boundaries, to design and implement a solution to a real-world problem
- LO4. demonstrate integrity, confidence, accountability, and resilience in managing challenges, both individually and in teams
- LO5. communicate project outcomes effectively to a broad audience.
Unit outlines
Unit outlines will be available 2 weeks before the first day of teaching for the relevant session.
- Semester 1, 2023 [Normal day] - Camperdown/Darlington, Sydney
- Semester 2, 2023 [Normal day] - Camperdown/Darlington, Sydney
- Semester 1, 2020 [Normal day] - Camperdown/Darlington, Sydney
- Semester 2, 2020 [Normal day] - Camperdown/Darlington, Sydney
- Semester 1, 2021 [Normal day] - Remote
- Semester 1, 2021 [Normal day] - Camperdown/Darlington, Sydney
- Semester 2, 2021 [Normal day] - Remote
- Semester 2, 2021 [Normal day] - Camperdown/Darlington, Sydney
- Semester 1, 2022 [Normal day] - Remote
- Semester 1, 2022 [Normal day] - Camperdown/Darlington, Sydney
- Semester 2, 2022 [Normal day] - Remote
- Semester 2, 2022 [Normal day] - Camperdown/Darlington, Sydney
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