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Mar 28, 2024
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EECS 205: Probability and Stochastic Processes Units: 4
Introduction of probability theory and stochastic processes. Topics: discrete-time Markov chains, conditional expectation and martingales, limiting behavior of sequences of random variables, Poisson process and continuous-time Markov chains, renewal processes and queuing theory, detection and estimation, wide-sense stationary processes and spectral density, Kalman filter and Wiener filter, and Brownian motion.
Course Details Repeatable for Credit: No Discussion included Normal Letter Grade with Satisfactory/Unsatisfactory option
Requisites and Restrictions Prerequisite: MATH 032 and MATH 141 Instructor Permission Required: No
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