Schedule: 15.09.2019 - 08.12.2019
Teaching Period (valid 01.08.2018-31.07.2020):
I-II Autumn (2018-2019, 2019-2020)
Learning Outcomes (valid 01.08.2018-31.07.2020):
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.
Content (valid 01.08.2018-31.07.2020):
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.
Assessment Methods and Criteria (valid 01.08.2018-31.07.2020):
Grade is determined by points awarded from completing the exercises.
Workload (valid 01.08.2018-31.07.2020):
Lectures 12 h, independent programming exercises 120 h
Study Material (valid 01.08.2018-31.07.2020):
Lecture notes and on-line material.
Course Homepage (valid 01.08.2018-31.07.2020):
Prerequisites (valid 01.08.2018-31.07.2020):
Basic courses on mathematics, physics and statistics. Some experience in computer programming is highly recommended. Introductory course to nuclear engineering is recommended but not required.
Grading Scale (valid 01.08.2018-31.07.2020):
Registration for Courses (valid 01.08.2018-31.07.2020):
Registration via WebOodi.
- Teacher: Jaakko Leppänen