Event Time: Past

The Mathematics in Industry Graduate Modelling Camp and Study Group was held at AIMS South Africa from 10 to 20 January 2023. There were 58 participants which included 13 AIMS Structured Master’s students. MISG is a five-day workshop at which academic researchers and graduate students work collaboratively with representatives from industry on research problems submitted

A workshop for the new generation of South African topologists, was held at AIMS South Africa 2 to 5 December 2022. The workshop was a satellite event of the annual SAMS Congress and aimed to contribute to building a cohort of future topology researchers who will work together and build further international partnerships. There were

Theory and Practice of Deep Learning The eleventh Gene Golub SIAM Summer School will take place from 19 – 30 July 2021 at AIMS South Africa in Muizenberg, South Africa. The focus of the school will be the theory, implementation, and application of deep learning based on neural nets with many layers. Students will learn

Description:This workshop will introduce participants to the theory of Mean Field Games and will lay out various research interests in the field. Mean Field Games model the dynamics of a large number of competing and rational agents. Assumed undistinguishable,  the agents seek to minimize an individual cost which depends on their over statistical distribution.  This

Dates: 11 to 15 April 2023 Organisers: Prof. Kerstin Jordaan (UNISA) and Prof. Peter Clarkson (University of Kent) Description: This workshop will focus on the relationship between integrable systems, in particular the Painleve equations and discrete Painleve equations, and orthogonal polynomials from both numerical and analytical perspectives. The Painleve equations, continuous and discrete, are nonlinear

This CIMPA Research School will be held at AIMS South Africa in Cape Town from 18 to 29 July 2022 The school aims to introduce students to the mathematical and statistical underpinnings of some of the latest Data Science methods that seek to address the challenge of Big Data analysis. Target audience: Early career researchers, PhD