1) Definition and fundamentals of digital production and Industry 4.0
2) Data-driven methods in selected use cases: industrial data; machine learning for condition and quality monitoring; assessment of data quality
3) Human–machine interaction
Graduates are familiar with the fundamentals and enablers of digital production and Industry 4.0. They are able to assess use cases and identify and select appropriate data-driven methods. These use cases can be implemented in Python.
Students are able to evaluate the role of humans in digital production and Industry 4.0 and assess concepts of human–machine interaction.
RPA (Practical work, documented by a seminar paper and presentation), graded
