“All of the short courses were enjoyable. An excellent opportunity to expand my knowledge and depth of understanding of data science.”

Fanzi Meng, Australian National University

Week 1

Anastasios Panagiotelis Associate Professor, University of Sydney Business School
Dimension Reduction: A plane and simple primer on linear and nonlinear algorithms with applications
Gael Martin Professor, Monash University
An Introduction to Bayesian Statistics
Leah South Lecturer, Queensland University of Technology
Post-Processing of MCMC
Susan Wei Lecturer, The University of Melbourne
Neural Networks and Related Models

Week 2

David Frazier Associate Professor, Monash University
Approximate Bayesian Computation: The Likelihood is dead, Long Live Simulation!
Matias Quiroz Lecturer, University of Technology, Sydney
Subsampling MCMC – An approach to speed up MCMC by data subsampling
Robert Salomone Postdoctoral Research Fellow, QUT Centre for Data Science
Neural Networks and Related Models

Course Guide

Dimension Reduction: A plane and simple primer on linear and nonlinear algorithms with applications
Associate Professor Anastasisos Panagiotelis

Approximate Bayesian Computation: The Likelihood is dead, Long Live Simulation!
Professor David Frazier

An Introduction to Bayesian Statistics
Professor Gael Martin

Post-Processing of MCMC
Dr Leah South

Subsampling MCMC – An approach to speed up MCMC by data subsampling
Dr Matias Quiroz

Neural Networks and Related Models
Dr Susan Wei

Neural Networks and Related Models
Dr Robert Salomone