Data analytics for engineering data using machine learning
Virtual (Zoom)
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.
Date
Unfortunately, the workshop from March 10 to 12, 2025 is fully booked. You can join the notification list for future workshops in 2025 here. We will then contact you once the next workshop is scheduled.
The workshop consists of three days containing several sessions:
Session 1 (day 1) | 09:00-12:30 | Introduction to machine learning methods like clustering and dimensionality reduction by means of short practical exercises in python |
Session 2 (day 1) | 13:30-17:00 | Application of the methods from session 1 to numerical simulation data stemming from engineering applications with the help of the SCAI DataViewer |
Session 3 (day 2) | 09:00-12:30 | Introduction to prediction by deep learning methods together with hands-on exercises using the software library pyTorch |
Session 4 (day 3) | 09:00-12:30 | Introduction to the interpretability of machine learning methods with the help of the examples from session 3 |
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
Fees
The course is open and free of charge for participants from academia, industry, and public administration from the Member States (MS) of the European Union (EU) and Associated/Other Countries to the Horizon Europe programme.
Funding
This course is partly realized in cooperation with the Centre of Excellence EXCELLERAT P2 (funded by the European Union, grant agreement No 101092621). For more information see the EXCELLERAT Service Portal. This course is part of the EuroCC2 and CASTIEL2 "Training Sprint" initiative.
Cancellation policy
If you can not participate in the workshop, please cancel your registration two weeks before the workshop. This will allow us to offer additional spots to interested people on the waiting list.