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Applied mathematics: An introduction to scientific computing by numerical analysis

Lectures

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Advanced Topics in Scientific Computing

This course provides a high level introduction to the numerical analysis of PDES and related high-performance computing techniques, focusing on problems in mechanics such as fluid dynamics. Students will acquire advanced understanding on Computational modelling techniques, both theoretical and practical. The course will utilise a combination of frontal lectures and live programming demonstrations using the C++ deal.ii (dealii.org) Finite Element Library.

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PRIN 2022, Unveiling embodied intelligence in natural systems for bioinspired actuator design

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An optimisation–based domain–decomposition reduced order model for parameter–dependent non–stationary fluid dynamics problems

Prusak I, Torlo D, Nonino M, Rozza G. An optimisation–based domain–decomposition reduced order model for parameter–dependent non–stationary fluid dynamics problems. Computers & Mathematics with Applications [Internet]. 2024 ;166:253-268. Available from: https://www.sciencedirect.com/science/article/pii/S0898122124002098

High Performance Computing for Data Science

The course will utilize a combination of frontal lectures and live programming demonstrations. The course will maintain a balance of approximately 50% frontal lectures and 50% hands-on sessions. The course is designed to be highly interactive, with ample opportunities for students to ask questions and engage in discussions during both the frontal lectures and hands-on sessions. Course materials and further details here.