Our ever-changing world requires knowledge that extends across multiple disciplines. Accordingly, the ability to work across interdisciplinary boundaries is a crucial skill for emerging professionals and researchers alike. With quantitative modelling becoming widespread across industry and conventionally 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 groups to tackle a real-world interdisciplinary problem. For example, you will take streaming measurements of brain activity using scalp electrodes and, through collaboration with data scientists, use machine learning techniques to develop a predictive classifier to develop a brain-computer interface of your design. 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.
Up to 2h/week of lectures and tutorials, 4h/week of project group work, project experimental work and/or computational lab work.
Assignments (55%), Project report (15%), Project oral presentation (10%), Team work and practical participation and evaluation (20%).
(PHYS2011 OR PHYS2911 OR PHYS2921) AND (PHYS2012 OR PHYS2912 OR PHYS2922)Prohibitions
PHYS3941 or PHYS3991