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Hosted by the Queensland University of Technology, AMSI Winter School is a two-week residential program for graduate students, postdoctoral fellows and early career researchers in the mathematical sciences and cognate disciplines.
This year the event will focus on computational foundations of data science, with the aim to develop the next generation of quantitative scientists who can thrive in tomorrow’s information age. Our impressive line-up of international and national speakers will build your knowledge in large-scale computational methods of data science, and introduce you to a range of topical applications.
This year, AMSI Winter School 2017 will feature courses on the following themes:
- Bayesian Inference & Data Assimilation
- High-Dimensional Statistics
- Inverse Problems
- Machine Learning
- Nonlinear Optimisation
- Numerical Linear Algebra
Apply now to develop skills and knowledge in the computational foundations of data science and tackle the fundamental challenge of “turning data into knowledge”.
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