Probability and Stochastic Processes

Probability and Stochastic Processes
Hours: 3 0 3

“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 advance topics.

Pre-requisites: noneCo-requisites: none

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

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