Teaching

Honours level courses

Optimisation for Data Science (2022, 2024, every second year)

This is a third level and honours course focused on mathematical foundations supporting the optimisation techniques for data science.

Optimisation for Deep Learning (2020-2021)

This course was endorsed by MoCaO special interest group of AustMS is taught via the AMSI ACE network in collaboration with Dr Nadia Sukhorukova (Swinburne University of Technology) and A/Prof. Julien Ugon (Deakin University).

The goal is to provide theoretical foundations of the optimisation theory, and apply it to formulate and solve optimisation problems appearing in deep learning models using a range of optimisation techniques. More information is available on the course page http://www.mocao.org/odl/.

Undergraduate courses

Several Variable Calculus MATH2011 (2019-2023)

MATH2011 is a  second year calculus course that covers the fundamentals of vector calculus including Lagrange multipliers, Green, Stokes’ and divergence theorems and Fourier series.

Higher Mathematics MATH1231 (Algebra, 2019-2021)

MATH1231 is a first year algebra/calculus course.