Course Prefix : STA4821
Course Title: Stochastic Models for Computer Science
Instructor: Dr. Bob Cooper
Department : CEECS
Basic principles of probability and statistics for modeling and experimentation in computer science. Topics from probability and statistics include basic concepts, conditional probability, random variables, distribution and density functions, stochastic processes, the central limit theorem, and simulation; applications include computer system performance evaluation, fault-tolerant computing, software reliability, telecommunications traffic analysis.
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