By DKZ.2R: Data Analytics for Engineering Data Using Machine Learning

We are happy to announce our new course “Data analytics for engineering data using machine learning”. The event will take place online on three consecutive days in february of 2026. This three-day online workshop addresses the preparation, analysis and interpretation of numerical simulation data by machine learning methods. Besides the introduction of the most important concepts like clustering, dimensionality reduction, visualization and prediction, this course provides several practical hands-on tutorials using the python libraries numpy, scikit-learn and pytorch as well as the SCAI DataViewer.

Target audience Researchers, students and practitioners interested in new ways to analyze and visualize numerical simulation data.

Learning outcomes Basic knowledge on important machine learning methods to analyze numerical simulation data Practical experience in applying these methods.

Prerequisites Basic knowledge of python and jupyter notebooks.

As always, this event is free of charge thanks to BMFTR funding!

If you are interested, you can register and find more information via this link.

• Title: Data Analytics for Engineering Data Using Machine Learning
• When: Monday, February 2nd to Wednesday February 4th 2026 2
• Where: online (zoom link will be provided after registration)