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 build a real-time brain-machine interface that use machine-learning techniques to extract meaningful patterns from live physiological measurements (e.g., human brain activity that is used to control computer software (e.g., a simple game). 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.
10h of lectures & 10h of computer tutorials.
exam (30%), assignments (20%), project report (20%), oral presentation (20%), team work and practical participation and evaluation (10%).
(PHYS2011 OR PHYS2911 OR PHYS2921) AND (PHYS2012 OR PHYS2912 OR PHYS2922)Prohibitions
PHYS3941 or PHYS3991