Name: Parallelization in OpenFOAM for HPC Deployment Date: November 06, 2023 & November 16, 2023 Time: 10am - 4pm Format: Online Flipped Classroom focusing on hands-on training More Information Description Short abstract: OpenFOAM is an open source, mature and established C++ library for computational continuum mechanics (CCM) including Computational Fluid Dynamics (CFD). For […]
Name: Introduction to Machine Learning and Deep Learning Date: November 09, 2023 & November 10, 2023 Time: 9 a.m to 1 p.m. Format: Online More Information Description Short abstract: Not only in economics Machine- and Deep-Learning (ML/DL) are inherently used to solve highly complex problems in a data-driven way, but also the scientific […]
Name: Machine Learning in Combustion Date: November 09 & 10, 2023 Time: 2 pm – 6 pm Format: Online More Information Description Short abstract: Big data and Machine Learning (ML) are driving comprehensive economic and social transformations and are rapidly becoming a core technology for scientific computing, with numerous opportunities to advance different research […]
Name: CFD Training Series: Introduction to Discontinuous Galerkin Methods for Flow Problems Date: November 16, 2023 Time: 1.00 pm - 5.00 pm Format: Online More Information Description Short abstract: In this course, we cover the main building blocks to solve fluid flow problems using the Discontinuous Galerkin (DG) method. The course consists of […]
Name: Data-Driven Healthcare: Leveraging Visualization and Data Management for Digital Patient Studies Date: November 21, 2023 & November 22, 2023 Time: 1.00 pm - 5.00 pm Format: Online More Information Description Short abstract: In today’s rapidly advancing medical landscape, data has become an invaluable asset, empowering healthcare professionals and researchers to make informed […]
Name: CFD Training Series: Introduction to Kernel-based approximation methods with applications to fluid dynamics Date: November 23, 2023 Time: 1.00 pm - 5.00 pm Format: hybrid More Information Description Short abstract: When data is provided in an unstructured format or is high-dimensional, classical interpolation or approximation schemes as Finite-Element Methods (FEM) struggle to […]
Machine Learning (ML) methods are being used frequently in research these days. However, often non-experts in ML are faced with the problem of designing and building highly complex models and ML-environments to utilize useful features that ML brings. A high invest of time is needed to acquire the knowledge required to develop ML-models and the […]
Name: Process Mining and Scientific Workflows running on the HPC cluster Date: December 11, 2023 Time: 9 a.m to 1 p.m. Format: Online More Information Description Short abstract: The goal of Process Mining is to turn event data into insights and actions. On the other side, there exist scientific workflows running on HPC clusters. […]
Name: Parallelization in OpenFOAM for HPC Deployment Date: April 03 + April 05, 01.00 pm, 2024 Format: Online More Information & Register Description Short abstract: OpenFOAM is an open-source, mature, and established C++ library for computational continuum mechanics (CCM) including Computational Fluid Dynamics (CFD). To leverage its full potential, it is crucial to […]
Name: Introduction to Finite Element Methods for Flow Problems Date: 23.04.2024 01.00 pm - 05.00 pm Format: Online More Information & Register Description Short abstract: In this course, we cover various techniques to solve fluid flow problems using the finite element method. Topics of numerical instabilities that result from the underlying formulation will […]
Name: CSG Data Science and Machine Learning presents Machine Learning Consultancy Hour Dates: 25.04.2024, 4.00 pm 27.06.2024, 4.00 pm 25.07.2024, 4.00 pm 29.08.2024, 4.00 pm 26.09.2024, 4.00 pm 31.10.2024, 4.00 pm 28.11.2024, 4.00 pm Format: Online More Information Description Short abstract: Machine Learning (ML) methods are being used frequently in research these days. […]
Name: Efficient HPC implementation for Lagrangian particle tracking Date: 30.04.2024 1.00 pm - 5.00 pm; Format: hybrid More Information & Register Description In this course, the basics of Lagrangian point particle methods for the application on HPC systems are covered. The course consists of an introduction to the applied method, followed by a […]
