- https://www.nat-esm.de/services/workshops-and-trainings/events/hpc-series-calculating-with-random-numbers-an-introduction-to-monte-carlo-methods
- đź”— HPC Series: Calculating with random numbers: An introduction to Monte Carlo methods
- 2025-06-02T12:00:00+02:00
- 2025-06-02T13:30:00+02:00
- Monte Carlo methods are a powerful class of algorithms used to solve problems through random sampling—and they’re behind a significant share of HPC workloads across research domains.
Jun 02, 2025 from 12:00 PM to 01:30 PM
(Europe/Berlin / UTC200)
In this 90-minute hands-on session, participants will explore the basics of Monte Carlo integration and learn how stochastic approaches can be applied to complex problems. Using a Python notebook, you'll write a simple pseudo-random number generator and experiment with code snippets and simulations to build your understanding.
🔹 No prior experience with Monte Carlo required
🔹 Ideal for scientists and researchers using Python
🔹 Includes live coding, code snippets, and simulations
About the instructor: Christian Schmidt is a theoretical physicist at Bielefeld University, working in the field of lattice Quantum Chromodynamics. He has a strong background in high performance computing and numerical methods and is supporting users of the GPU Cluster at Bielefeld University.