Types of uncertainties and their modeling; basic concepts of probability; random variables and probability distributions; functions of random variables; discrete distributions: geometric binomial, negative binomial, multinomial, and Poisson; continuous distributions: uniform, exponential, normal, lognormal, Weibull, chi-square, beta, and extreme value distributions; stochastic processes: Poisson processes, renewal processes, and Markov chains; fundamentals of queueing theory; simulation.

Credits: 3.0 (three).