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Introduction to Statistical Physics from a Computational Perspective

Lesson 8: Spatial stochastic systems, Markov processes and mean-field
Lesson 9: Thermodynamics 1
Lesson 10: Thermodynamics 2
Lesson 11: Kinetic theory, Boltzmann Equation, Boltzmann H theorem
Lesson 12: Gibbs entropy: equilibrium, Boltzmann distribution. Phase transitions
Lesson 13: Ising, mean field, Monte Carlo computation
Lesson 14: Quantum statistics
Lesson 15: Simulated annealing
Lesson 16: Disordered systems, spin glasses, replicas
Lesson 17: Complexity
Lesson 18: Networks, small world