The tutorial ‘MACH4.0 – Application of Data Analytics in Metal Cutting Manufacturing’ is aimed at Master's students of mechanical engineering and industrial engineering who want to experience data science in production technology in a practical way. The tutorial uses AI to predict the component quality of milled workpieces. Participants will gain a comprehensive insight into data recording during production on machine tools as well as the subsequent data processing and training of machine learning models with Python.
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Exam
Examination notes |
The examination for the tutorial ‘MACH4.0 – Application of Data Analytics in Metal Cutting Manufacturing’ consists of two practical examinations, which are completed during the tutorial. This is followed by a personal reflection and a final presentation of the project work carried out. Examination performance: 30 % – Exercises on the topics of data processing and machine learning (individual assessment; period: 07.04. -16.04.2025) 60 % – Execution of a project work/ data challenge in small groups (evaluation of group performance; period: 17.04. – 16.05.2025) 10 % – Personal reflection on the project work (individual assessment; period: 17.05. – 20.05.2025) opt. Grade bonus - Above-average presentation of results (individual assessment; period: 21.05. – 28.05.2025) |
Announcement of notes | The grades will be announced via (opens in new tab). TUCaN |
Content
Contact
Name | Working area(s) | Contact | |
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![]() | Willi Wünschel M.Sc. TEC | Manufacturing Technology | W.Wuenschel@PTW.TU-Darmstadt.de +49 6151 8229-639 L1|01 26 | |
![]() | Lucas Gräff M.Sc. TEC | Manufacturing Technology | L.Graeff@PTW.TU-Darmstadt.de +49 6151 8229-621 L1|01 26 |