EEC 512 - Probability/Stochastic Process

(4 credits)

Prerequisite(s): Restriction for undergraduates in graduate courses and enrolled in the college of Engineering Prerequisite: Graduate standing. General concepts of probability and random variables, including random experiments, inequalities, joint distributions, functions of random variables, expectations, and the law of large numbers. Basic concepts of random processes and their properties are introduced. Markov process, linear systems with stochastic inputs, and power spectra are presented.

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