This Course Is Concerned With The Construction of Mathematical Models of Stochastic Systems and Includes The Basic Concepts Of The Theory of Stochastic Processes. The Course Concentrates On The Following Topics# Counting Processes (bernoulli, Poisson Processes), Markov Jump Processes. Markovian Queueing Processes, Etc# Markov Chains. in Addition, The Course Contains an Introduction To Queueing Theory, Dealing Mainly With Single Server Queues (m/m/1 And M/g/1 Models).

Faculty: Data and Decision Sciences
|Undergraduate Studies

Pre-required courses

(94411 - Probability (ie) and 104019 - Linear Algebra M and 234221 - Introduction to Computer Science N) or (94411 - Probability (ie) and 104016 - Algebra 1/extended and 234221 - Introduction to Computer Science N) or (94411 - Probability (ie) and 104019 - Linear Algebra M and 234111 - Introduction to Computer Science) or (94411 - Probability (ie) and 104065 - Akgebra 1m2 and 234221 - Introduction to Computer Science N) or (94412 - Probability (advanced) and 104166 - Algebra Am and 234117 - Introduction to Computer Science H)


Course with no extra credit

94390


Semestrial Information