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Lund University
Physics: Applied Computational Physics and Machine Learning
<p>This course is intended to give practical and theoretical insights inte common methods for numerical calculations in physics, e.g., C++ programming, numerical integration, random numbers and Monte Carlo methods.</p><p>https://canvas.education.lu.se/courses/6598</p>
- Higher education
- Information unavailable
- 19 January 2026
- Information unavailable
- Information unavailable
- 50 %
Overview
<p>This course is intended to give practical and theoretical insights inte common methods for numerical calculations in physics, e.g., C++ programming, numerical integration, random numbers and Monte Carlo methods.</p><p>https://canvas.education.lu.se/courses/6598</p>
Admission scores
Entry requirements
The prerequisites required for admission to the course are: 75 credits in Physics and 45 credits in Mathematics or a Bachelor of Science in Physics, in both cases including knowledge corresponding to an introductory course in numerical method, and basic knowledge of Python such as NUMA01, Numerical Analysis: Computational Programming with Python, 7.5 credits. English 6/B and basic eligibility.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2026-01-19
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.lu.fysn33.51059.20261
- Last checked
- 2026-09-23T10:38:26.989764+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
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- Programme or course starts
- Programme or course ends
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Common occupations after graduation
Students
Geographical background
Previous upper-secondary schools and programmes
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About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.lu.fysn33.51059.20261
- Offering identity in the source
- e.uoh.lu.fysn33.51059.20261
- Education-form source code
- HS
- Education code in the source
- FYSN33
- Change time according to the source
- 2025-07-09T12:16:43
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.