KI in der Produktionstechnik

What it is about

You will learn fundamental methods of artificial intelligence and their application in production technology. Based on the Knowledge-Discovery-in-Databases-(KDD)-process and industrial case studies, you will learn how data is prepared, features are extracted, and models are developed for tasks such as regression, classification, clustering, image processing and time-series analysis. By the end you will be able to design data-driven solution concepts for production-oriented questions and assess the limits and potentials of these approaches.

What you will be able to do

• Retrieve and compare fundamental AI methods
• Identify central challenges of data-driven approaches
• Design solution concepts for industrial AI applications
• Develop concepts for knowledge extraction from production and process data

What the module consists of

• VorlesungConveying the theoretical foundations of the KDD process, data understanding and methods; integration of exercises and demonstrations

Teaching method

• Vorlesung mit PräsentationenConveying theoretical foundations and providing a slide set to be supplemented by your own notes
• Übungen/Demonstrationen in Jupyter-NotebooksPractical application of relevant methods and tools on production-relevant datasets
• VideomaterialTo illustrate selected content