FYSSYVHPC Advanced Studies in High Peformance Computing (Physics) (88+ cr)
Description
- Computational Physics theory and methods related to topics by choice: nuclear physics, particle physics, condensed matter physics, continuum physics
- parallel and distributed multi-core calculations and programming
- data mining and machine learning methods
- quantum computing: method development and algorithms
Learning outcomes
Physics specialisation concentrates to build solid, advanced level theoretical, experimental, methodological and/or computational knowledge and skills on different sub-fields in Physics, by choice: nuclear physics, particle physics, condensed matter physics or continuum physics. Together with the high-performance computing core studies and optional advanced level studies the specialisation will give excellent skills for applying Computational Physics methods in high-performance computing environments, developing Computational Physics methods for high-performance multi-core systems and understanding the role and the possibilities of cutting-edge technologies and methods like quantum computing and artificial intelligence in Computational Physics.
Structure
Compulsory core studies in High-Performance Computing
Select all (20 cr)Profiling advanced studies in physics
Select all (33+ cr)Nuclear physics, particle physics, condensed matter physics or continuum physics
Select min. 8 crOptional advanced studies in physics
Select min. 15 cr- FYSS7641 Statistical Physics in and out of Equilibrium (6–9 cr)Not published for this curriculum period
Multidisciplinary advanced studies
Select min. 10 cr
Research and training
Select all (33–43 cr)