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401-3469-00L
4
Credits
Advanced Monte Carlo Methods I
Lecturers & Examiners:
Prof. Dr. Michael Mascagni
Link zur Homepage
mascagni/Advanced_Monte_Carlo_Methods.html
Last Updated: 2026-02-05 14:59:48
Abstract
This course provides students with the fundamentals of the Monte Carlo method, or as it was originally known, the "method of statistical sampling." This course is meant to take mathematically and computationally mature students and given them a very comprehensive introduction including: Monte Carlo basics, random numbers, and many applications to problems in the physical and statistical sciences.
General Information
- Language
- English
Examination
- Type
- session examination
- Mode
- oral 30 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise | Advanced Monte Carlo Methods I |
|
3 h weekly |
Offered In
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Algorithmik (Weitere Fächer siehe Fachstudium des Studiengangs Informatik)
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