Introduction to elementary probability theory and stochastic processes with a special emphasis on their applications in science. Topics include basics of probability, random variables, functions of random variables, random vectors, random processes and their classification, well-known random processes including the Bernoulli process, random walk process, Gaussian process, Poisson process, and Markov process. Prerequisite: AUMAT 250.
Section | Capacity | Class times | Login to view Instructor(s) and Location |
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LECTURE 1B01
(87656) |
35 |
2026-01-26 - 2026-04-17 (MF)
15:50 - 17:20
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