Numerical Methods for Data Science

The course "Numerical Methods for Data Science" is a course of type 2+1+1 SWS and takes place in summerterm 2022. There is a 2-hour lecture and a 2-hour exercise class every week.

  • Please contact Laura Burr if there are any questions about the lecture or exercise class. 


  • The lecture and the exercise class take place at the university. 
  • The exercise sheets will be published via Moodle.
  • The first exercise sheets will be provided on Tuesday, 26th of April. 


  • Learning
  • Least-Squares regression: SVD
  • Clustering and Classification
  • Machine learning, neural networks and others
  • Automatic differentiation
  • Probabilistic methods


  • Thursday, 12 - 2 pm
  • Address: Helmholtzstr. 18, Room 220
  • The lecture takes place weekly. First lecture will be held on 4/19/2022.

Exercise Class

  • All informations about the exercise class can be found on Moodle.


  • 50% of the theory points as well as 50% of the programming points must be edited in order to be admitted to the exam.