This course provides students with the competence to understand the concept of probability and statistics quantities: the concept of probability such as sampling, probability, trial, set theory, conditional probability, and Bayes’ Theorem, independent events, random variables, pdf and cdf, expectation and variances. Distribution specials: uniform, Gaussian, binomial, Poisson, erlang. Introduction of random processes and modeling of random processes (state diagram), an introduction to statistics, and estimation of distribution.