Stochastische Analysis

WiSe 2022/2023



Tuesday, 08.15 - 10.00 Uhr, M5
Friday, 08.15 - 10.00 Uhr, M5


Wed, 10-12, SRZ 203
Lecturer: Martin Huesmann
Assistent: Francesco Mattesini, Bastian Müller



Course syllabus:

The course “Stochastische Analysis” is for master students who are already familiar with fundamental concepts of probability theory. Stochastic analysis is a branch of probability theory that is important for many applications in physics, chemistry, biology and finance.

This course will cover the following topics: martingales in continuous time, Brownian motion, the Ito-integral for semi-martingales, the Ito-formula and applications, stochastic representation of solutions of PDEs, stochastic differential equations and Girsanov's theorem.

The understanding of these topics is essential for the attendance of the course “Höhere Finanzmathematik” that presumably will take place in the next summer term.


Please register for the learnweb course where you can find additional material for the course.

Course assessment: TBA