EENG 635
Probability and Stochastic Processes
New York Institute of Technology · UGRD · Fall 2026
1 section
Catalog description
Elements of probability theory. Random variables, distributions, densities, moments, characteristic functions, functions of random variables and limit theorems. Correlation, spectral density, ergodicity and applications in linear systems. Normal, Poisson and Wiener processes, mean square estimation and Markov processes. Application to electrical engineering noise analysis. Equivalent to CSCI 635.
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Availability not recently verifiedClass #new_york_2-EENG635Fall 2026UGRD3.0 credits
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