KI in der Produktionstechnik

What it is about

You learn fundamental methods of artificial intelligence and their application to production-technical questions. Based on the KDD process and industrial case studies, you practise data preparation, feature extraction, and the use of regression, classification, cluster, image processing, and reinforcement learning methods to derive knowledge from production data and derive actionable recommendations.

What you will be able to do

• retrieve, compare and apply AI methods
• identify central challenges of data-driven approaches
• design solution concepts for industrial AI applications
• design concepts for knowledge extraction from production and process data
• apply the KDD process at all levels
• evaluate AI application results for production-technical questions

What the module consists of

• VorlesungConveying the theoretical foundations of the KDD process and methods; providing a slide deck
• Übung (Gruppenarbeit)Application of the KDD process to industrially relevant datasets, discussion of methods/tools, project work

Teaching method

• VorlesungExplain the theoretical foundations and present methods and tools
• Übungen / Demonstrationen (Jupyter‑Notebooks)Instructions and practical examples for applying the tools and methods
• GruppenprojektTransfer and independent application of the KDD process to industrial datasets; development of actionable recommendations