Course

Syllabus

Random Processes: Introduction, Classification of random processes, Poisson Process, renewal processes, Markov Process, Markov Chains, Transition Probabilities, classification of states of Markov chains, Chapman-Kolmogorov Equations, steady state probabilities, continuous time Markov chains and birth and death processes and analysis of time series.Introduction to Regeneration process. 

Queuing Models: Characteristics of Queuing Systems, Steady state solution of M/M/1 and M/M/C queuing models with Finite and Infinite Capacities, Stationary behavior of M/G/1. Queuing networks, G/G/1.  

Course Outcomes (CO) 

1. Sheldon M Ross, “Stochastic Processes”, Second Edition, Wiley & Sons Inc, 1996.  
2. Gross D. and Harris C. M, John,“Fundamentals of Queuing Theory”, Third Edition, Wiley & Sons Inc, 2004.  
3. J. Medhi, “Stochastic Models in Queuing Theory”, Second Edition, Academic Press, Elsevier, 2003.