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: 08.09.2020 - 01.12.2020
Teacher in charge (valid 01.08.2020-31.07.2022): Jaakko Leppänen
Teacher in charge (applies in this implementation): Jaakko Leppänen
Contact information for the course (applies in this implementation):
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
Valid 01.08.2020-31.07.2022:
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 01.08.2020-31.07.2022:
Grade is determined by points awarded from completing the exercises.
Workload
Valid 01.08.2020-31.07.2022:
Lectures 12 h, independent programming exercises 120 h
DETAILS
Study Material
Valid 01.08.2020-31.07.2022:
Lecture notes and on-line material.
Prerequisites
Valid 01.08.2020-31.07.2022:
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.
SDG: Sustainable Development Goals
7 Affordable and Clean Energy
13 Climate Action
- Teacher: Leppänen Jaakko