Physics: Applied Computational Physics and Machine Learning
Lund University
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Pace of study: 50 %
Published education catalogue
Physics: Applied Computational Physics and Machine Learning
Education information from the published source. The education record and its time-bound offerings are kept separate.
Education facts
Code: FYSN33
<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>
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.
Education offerings
Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.
Source and updates
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Last changed according to the source: 2025-07-09T12:16:43