Analysis of Stochastic Processes
| Hours: 3 0 3 |
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“Random variables, Expectation, Conditional distribution and expectation, Stochastic processes (Bernoulli processes, Poisson processes, Renewal processes), Discrete-time Markov chains, Continuous-time Markov chains, and other advanced topics.
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| Pre-requisites: none | Co-requisites: none |
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Hours: XYZ where X = Lecture, Y = Lab, Z = Credit
All hours are per week.
3 Lab hours constitute 1 credit hour
1 credit hour implies 1 lecture of 50mins per academic week. 16 weeks in total.
Pre-Requisite courses are courses required to be completed before this course may be taken
Co-Requisite courses are courses required to be taken along with this course
