What's On at UWA

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.

It's more important than ever to be strategic about where you publish your research; to maximise reach and potential impact, as well as ensure you are working with quality and legitimate publishers. This seminar covers 1) identifying and assessing journals and other key academic publishing avenues (...)