After successful completion of the course, students are able to  apply a basic knowledge of the Monte Carlo method and its usage in particle simulations to common use cases in particle physics. They are capable to analyse new problems, identify the relevant scientific question, design a simulation to answer this question, implement it in the Monte Carlo code Geant4, and analyse the outcome of the simulation.

Theory of the Monte Carlo method, Monte Carlo simulations in particle physics, use cases for simulations in the context of particle accelerators, neutron physics, and background modelling for rare event searches like searches for dark matter or neutrino interactions, designing simulations as virtual experiments, relevant aspects of software design and development, implementing simulations in the Geant4 code, data analysis.

The course alternates between lecturer-focused and student-focused phases similar to the flipped classroom style: the lecturers provide introductions to the course subjects and, for each subject, a hands-on example. Based on those introductions and the provided lecturer notes, the students have the possibility to deepen their knowledge by independently preparing solutions to the examples at home. The solutions will then be implemented and discussed during the next lecture. During the lecture, computers with the required software will be provided.

Basic knowledge in C++ programming and operating a Linux computer are expected.

Participation in the lecture and presenting solutions to the provided hands-on examples.