What's On at UWA

Acclaimed soprano Sara Macliver mentors students from UWA Piano as they bring music and poetry to life in a concert featuring a range of repertoire from Schubert to Rachmaninoff.

Celebrating our environment and natural world, this concert features the WA premiere of Dharug composer Christopher Sainsbury’s 'The Magic of this Dawn' and the 2022 VOSE winner Rachael Liu singing Adelaide composer Anne Cawrse’s 'Prayer to the Spirit of the New Year'.

Free event - (...)

UWA Orchestra presents Reverberation | Strauss & Stravinsky

Don't miss out on the chance to hear Stravinsky's masterpiece, the Concerto for Piano and Winds, with soloist Adam Pinto, featuring a unique ensemble of piano and wind instruments masterfully employed to create a diverse (...)

This concert takes us back to a time before mobile phones, drones and the internet: the 1980s. Conservatorium students put their own spin on this decade with arrangements of songs from a time when jazzercize, padded shoulders and big hair were all a thing. Your mum and dad are going to love it! All (...)

A one day course offering an introduction to presenting data. All welcome as there is no presumed knowledge

This practical course introduces you to R using the tidyverse.

This practical course covers the basics of carrying out applied statistics using R.

The course is open to anyone and is designed for people with little or no knowledge of statistics who want to develop an understanding of basic statistics.

The course is designed for people with knowledge of basic statistics who want to learn more about regression and analysis of variance (ANOVA).

The course is designed for people with knowledge of basic statistics and linear regression models who want to learn more about regression models for other types of data in the framework of generalised linear models.

This course covers techniques that can be used to analyse longitudinal (or repeated measures) data, spatial data, clustered data and data from complex experimental designs. The courses focuses on recognising data with these structures and identifying appropriate models to fit to the data.

This is course is designed for those looking for an introduction to clustering techniques (unsupervised learning) with applications in R.