Lesson: statistical methods

We get familiar with pseudo random numbers and their applications. We learn how to calculate averages and error estimates and run various simulations such as etching with kinetic Monte Carlo, diffusion with random walks, phase transitions with percolation and magnetism with Metropolis Monte Carlo.

• Heads or tails?
  • coins.py
• Chemical sculpting
  • etching.py
• Get lost
  • random_walk_lattice.py
  • random_walk_free.py
• Check the connection
  • percolation.py
• Spin some spins
  • ising.py
• Homework: DLA’ing with fractals
  • Theory
  • Task
  • A2_dla.py