Covers correlation and cross-correlations in air pollution data analysis, including time series, autocorrelations, Fourier analysis, and power spectrum.
Explores Monte Carlo techniques for sampling and simulation, covering integration, importance sampling, ergodicity, equilibration, and Metropolis acceptance.
Explores statistical physics concepts like equiprobable microstates, entropy, and canonical ensembles, with applications in quantum mechanics and semiconductor physics.