• Understand the role and the goals of data science in engineering
• Know the relevant data science methods like simulation, optimization and machine learning, and can identify appropriate methods for an application
• Know typical data sources, types and representations
• Understand the mathematical and statistical foundations of selected data science methods
• Acquire and process engineering data, perform exploratory data analysis and visualize data
• Apply basic methods of supervised and unsupervised machine learning
• Interpret and evaluate data science models

The exercises take place on Wednesdays on specific days from 9:45 a.m. to 1:00 p.m. For further information, see ILIAS.