E&C ENGR 348: Discrete Mathematics and Probability

E&C ENGR Department University of Missouri-Kansas City 3.0 credits

Course Description

Students will learn to utilize discrete mathematics concepts of sets, functions, sequences, counting techniques, graphs, trees, network flow models, shortest paths, adjacency lists and matrices. They will also learn about basic concepts of probability theory related to conditional probability and independence, discrete, continuous, and joint random variables. Functions of random variables will be studied, along with sums of independent random variables, transform methods, the law of large numbers, the central limit theorem, and inequalities. Their applications to electrical and computer engineering areas are stressed.

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