17266 - Probability Models

Academic Year 2022/2023

  • Teaching Mode: Traditional lectures
  • Campus: Bologna
  • Corso: Second cycle degree programme (LM) in Mathematics (cod. 5827)

Learning outcomes

At the end of the course the student will know the basics of stochastic Ito calculus and the link between stochastic analysis and deterministic partial differential equations.

Course contents

The course aims at providing the minimum basic knowledge to be able to undertake independently the study of advanced topics of stochastic analysis, such as the courses

http://www.hairer.org/Teaching.html

by Martin Hairer, Fields medalist in 2014.

The course contains an introduction to the theory of stochastic processes and stochastic differential equations that naturally intervene in applications in physics and economics, highlighting the link with the theory of elliptic-parabolic partial differential equations.

More details at the webpage of the course

Readings/Bibliography

A. Pascucci, PDE and Martingale methods in Option Pricing, Bocconi & Springer Series (2010)

Teaching methods

Classroom lectures

Assessment methods

At the end of the course each student will take an oral exam in which he will answer questions about the subjects covered in the program.

Teaching tools

See the webpage of the course

Links to further information

https://1drv.ms/w/s!AqFHqfUowiJlkJ93cDWFoFt0o-euQA?e=WfaZAN

Office hours

See the website of Andrea Pascucci