Probability and random variables. Distribution and density functions and conditional probability. Expectation: moments and characteristics functions. Transformation of a random variable. Vector random variables. Joint distribution and density. Independence. Sums of random variables. Random processes. Correlation functions. Process measurements. Gaussian and Poisson random processes. Noise models. Stationary and Ergodicity. Spectral Estimation. Correlation and power spectrum. Cross spectral densities. Response of linear systems to random inputs. Introduction to discrete time processes, Mean-square error estimation, Detection and linear filtering.