Monte Carlo methods // University of Oldenburg

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Simulatively determine risks

In this module you will learn how to create simulative risk studies using Monte Carlo methods. The module covers algorithms for standard random numbers as well as for random numbers with a given distribution, which are generated using inversion, rejection and composition methods. The module also teaches the generation of random vectors with a multidimensional structure (multivariate normal distribution, copulas).

Lecturer

Dr Peter Krug

Your gain in expertise

After completing the module you can ...

independently create simulative risk studies.

discuss the results with experts on an equal footing.

Critically scrutinise simulative risk studies.

utilise the know-how for internal company models.

Further education at a glance

Certificate

University certificate

Dates

Coming soon

Time required and scope

5-8 hours per week, 6 credit points

Teaching format

Part-time, internet-based, compact practical workshops at the weekend

Prerequisites

None

Costs

1,200 euros for enrolled students or 1,500 euros for guest students plus university fee

Who is the programme aimed at?

The module is aimed at professionals and interested parties who want to expand their methodological skills in risk management in a practical way.

The module can be taken as certified further education or as part of a part-time degree programme in risk management and financial analysis. The university certificate is fully recognised for the degree course. This means you can start your studies without enrolment!