Stochastic Simulation: FundamentalsIntroduces stochastic simulation fundamentals, covering course organization, queueing models, finance, statistics, physics, and exam details.
Discrete Event SimulationCovers discrete event simulation using digital circuits, base components, complex components, and simulation implementation.
Markov Chains and ApplicationsExplores Markov chains and their applications in algorithms, focusing on user impatience and faithful sample generation.
Molecular Dynamics and Monte CarloCovers computational methods for molecular systems at finite temperature, emphasizing stochastic sampling and time evolution simulations.
