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.

• 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.