ENCS 6161 Probability and Stochastic Processes course will introduce students to topics such as binary communication systems, probability theory and rules, Chebyshev and Markov`s inequalities, Bayes` theorem, random variables, moments, characteristic functions, Bernoulli trials, and Poisson, Theorem, random telegraph, elements of renewal theory, distribution and density functions and Wald`s equation. In this course students will be taught to apply the concepts of probability theory. Students will be taught to analyze random processes, Markov chains, and queuing systems. In this course students will gain an understanding of and learn to apply Bayes` theorem, conditional probability and the concepts of independence.

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