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This user-friendly resource will help you grasp the concepts of probability and stochastic processes, so you can apply them in professional engineering practice. The book presents concepts clearly as a sequence of building blocks that are identified either as an axiom, definition, or theorem. This approach provides a better understanding of the material, which can be used to solve practical problems. The key features are: the text follows a single model that begins with an experiment consisting of a procedure and observations; the mathematics of discrete random variables appears separately from the mathematics of continuous random variables; stochastic processes are introduced in Chapter 6, immediately after the presentation of discrete and continuous random variables; subsequent material, including central limit theorem approximations, laws of large numbers, and statistical inference, then use examples that reinforce stochastic process concepts; and, an abundance of exercises are provided that help students learn how to put the theory to use.