(in Polish) Computer simulations in physics 1100-CSP
1. Introduction: what is the benefit of using computer simulation models?
2. Crash course on Python.
3. Molecular Dynamics:
- Newtonian mechanics
- numerical integration
- simulation of noble gases
4. Probabilistic models:
- percolation
- Monte Carlo methods
- Ising model
5. Network models:
- diffusion-limited aggregation
- self-organized criticality
- Wa-Tor
Mode
Classroom
Prerequisites (description)
This course is not intended for students who completed Symulacje komputerowe w fizyce (1100-3`SKwF). We use Python for assignments in the computer lab, however some initial help with the Python syntax will be provided. Experience in programming is not strictly necessary, but it may be of significant help in completing computer projects.
Course coordinators
Term 2024Z: | Term 2023Z: |
Assessment criteria
The students are asked to prepare a short presentation summarizing one topic from the lectures. The final grade consists of computer based projects in the lab (80%) and two short tests (20%).
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: