COURSES & LECTURERS
Computational Foundations of Data Science
This year’s program features prominent international and domestic academics and researchers, delivering a series of short courses including both lectures and tutorials/labs.
For more information about the Course and/or Lecturer, please click through the link on the respective Course title or Lecturer name.
|Bayesian Inference & Data Assimilation||Introduction to Bayesian Computational Methods via Markov Chain Monte Carlo Algorithms||Dr Chris Drovandi||Queensland University of Technology|
|Data Assimilation: A Mathematical Introduction||Dr Kody Law||Oak Ridge National Laboratory / University of Tennessee
|High-Dimensional Statistics||Model selection and inference for high-dimensional data||Dr Davide Ferrari||The University of Melbourne|
|Inverse Problems||TBC||Associate Professor Youssef Marzouk||Massachusetts Institute of Technology|
|Machine Learning||A Decision Making View of Machine Learning||Dr Hanna Kurniawati||The University of Queensland|
|Martingales, McDiarmid and Machine Learning: How to validate models like a pro!||Dr Brendan van Rooyen||Queensland University of Technology|
|Nonlinear Optimisation||Optimisation Techniques For Data Analysis||Professor Stephen Wright||University of Wisconsin-Madison|
|Numerical Linear Algebra||Large Scale Matrix Problems||Dr Linda Stals||Australian National University|