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Stochastic Models for Communications
This lecture introduces mathematical concepts and tools of stochastic processes relevant for communication systems and data science, preparing students for advanced courses. Topics include information theory, signal processing, digital communications, and more. The course covers probability theory, random variables, continuous-time stochastic processes, discrete-time stochastic processes, Poisson processes, Markov chains, and queueing theory.
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