|Analysis of 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 advanced topics.
|Pre-requisites: none||Co-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