Areas of Competence: Knowledge and Understanding; Use, application and generation of knowledge; Communication and cooperation; Scientific self-understanding / professionalism.
Students know
- fundamental statistical concepts and methods relevant for modern data science and understand for which type of tasks they are most suitable.
- the connection between the covered statistical methods and algorithms and their mathematics foundations.
Students are able to
- apply statistical methods to real-world problems.
- reflect on advantages and limitations of algorithms in practical terms
- derive insights and build on the related scientific literature
Students are able to
- correctly interpret and communicate the approach and results both in technical and functional terms
- work professionally with standard data mining methodology.