Lecture

Stochastic Models for Communications

In course

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Description

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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Instructor

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Official source

https://mediaspace.epfl.ch/media/0_v96hrb60

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

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