Courses

• Matrix Methods in Data Science (exercise), winter term 2019/2020
• Matrix Methods in Data Science (exercise), summer term 2021

Advised Work

• Julia Interface for applications of the NFFT (computer tutorial, Manuel Weiß)
• Attribute ranking in online shop data sets (computer tutorial, Jeremias Piljug)
• Least-squares approximation with polynomial bases (computer tutorial, Josie König)
• Hoch-dimensionale ANOVA Approximation in Anwendungen (Bachelor thesis, Jeremias Piljug)