Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

The course provides the skills to understand the computational methods used for Monte Carlo particle transport simulations. Monte Carlo codes are widely used as general-purpose calculation tools for particle and radiation transport applications in nuclear engineering, medical physics, fusion and space research. The course topics are focused on neutron transport and reactor physics, but the covered methods also apply to other radiation transport problems.

Credits: 5

Schedule: 06.09.2022 - 29.11.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Jaakko Leppänen

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    The course consists of five introductory lectures and programming exercises, during which the students gradually develop a simplified Monte Carlo transport calculation code. The exercise topics are related to collection of statistical results, geometry and tracking routines used in Monte Carlo codes, handling of particle interactions, etc. The exercises are recommended to be completed using a compiled language (FORTRAN, C, C++, etc.), since interpreted languages such as Python are slow when used for numerical simulations.

Workload
  • valid for whole curriculum period:

    Course is completed via independent programming tasks.

DETAILS

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    7 Affordable and Clean Energy

    13 Climate Action

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Autumn I - II
    2023-2024 Autumn I - II

    Enrollment :

    Registration via Sisu.