Statistical Mechanics: Algorithms and Computations (Coursera)
In this course you will learn a whole lot of modern physics (classical and quantum) from basic computer programs that you will download, generalize, or write from scratch, discuss, and then hand in. Join in if you are curious (but not necessarily knowledgeable) about algorithms, and about the deep insights into science that you can obtain by the algorithmic approach.
Week 1: Monte Carlo algorithms (Direct sampling, Markov-chain sampling)
Week 2: Hard disks: From Classical Mechanics to Statistical Mechanics
Week 3: Entropic interactions and phase transitions
Week 4: Sampling and integration
Week 5: Density matrices and Path integrals (Quantum Statistical mechanics 1/3)
Week 6: Lévy Quantum Paths (Quantum Statistical mechanics 2/3)
Week 7: Bose-Einstein condensation (Quantum Statistical mechanics 3/3)
Week 8: Ising model - Enumerations and Monte Carlo algorithms
Week 9: Dynamic Monte Carlo, simulated annealing
Week 10: The Alpha and the Omega of Monte Carlo, Review, Party
Already taken this course? Please rate.