Dependability Evaluation in Industrial Automation

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Explores turbulence characteristics, simulation methods, and modeling challenges, providing guidelines for choosing and validating turbulence models.

Covers the interpretation of the Lindblad equation and its unitary part in quantum gases.

Explores first passage times, strong Markov property, and state recurrence/transience in Markov chains.

Covers Markov chains, Metropolis algorithm, Glauber dynamics, and heat bath dynamics.

Covers Hidden Markov Models (HMM) for modeling time series data and decoding using the Viterbi Algorithm.

Explores recurrence and transience in Markov chains, discussing the strong Markov property and state classifications.

Covers the definitions and state probabilities of discrete-time Markov chains.

Covers the configuration and management of the GlobalViewer Enterprise system.

Covers stochastic models for communications, focusing on discrete-time Markov chains.

Introduces a course on Genetics & Genomics, focusing on R programming with interactive exercises.