This course focuses on sets and methods of counting, as well as probability density functions, expected values, and correlations. Forms of distribution addressed included binomial, Poisson, exponential, and normal. Additional topics covered include the central limit theorem, statistical estimation, an introduction to stochastic processes, and applications to noise and reliability. Prerequisite: MA-262. (3-0-3)