After successful completion of the course, students are able to explain how Machine Learning works and how it is applied to mathematical problems in finance. In particular, the students are able to

• decide and justify wheter machine learning is suitable for solving a given problem in finance,
• formalize the problem and select a suitable algorithm for the solution,
• evaluate the result.

• Machine Learning basics
• Neural networks
• Deep learning
• Deep Finance (hedging, portfolio optimization, calibration, etc.)

• Lecture
• Discussion about exercises.

Active participation, exercises.
Possible to improve the grade with an oral exam.