On successful completion of this course, student will be able to: Apply probability concept to solve Bayesian problem; Calculate the important concept of random variables with Poisson, Exponential and Gamma distributions; Calculate limiting probabilities for Discrete and Continuous Times Markov Chain in production process, birth and death process or other real phenomen; Apply the important concept of Poisson process, Interarrival and Waiting time distribution; Apply Renewal, Queuing and Reliability theory in production process and network of queues.
- Probability and Random Variables;
- Discrete-Time Markov Chains;
- Poisson Process;
- Continuous-Time Markov Chains;
- Renewal Process;
- Queuing Theory;
- Reliability Theory.
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