Computational Physics, 5 cr

Core content

• Setting up your numerical experiment a.k.a.
  "Good Enough Practices in Scientific Computing"
• Linux basics
• Data visualization
• Numerical calculus and linear algebra
• Numerical solution of ordinary and partial differential equations
• Methods in computational physics

Complementary knowledge

• "Best Practices for Scientific Computing"
• Working with supercomputers and superclusters
• Perceptually uniform colormaps
• Multi-dimensional calculus
• Relation to computational physics
• Basics of related numerical framework

Specialist knowledge

• Archiving and publishing your numerical experiments
• Publication-quality figures (filetypes, typography, and graphic design elements)
• Advanced methods (Monte Carlo integration, FFT-based differentiation and analysis)
• How to select and implement algorithms
• Usage, implementation and development