Stochastics Process
Learning Outcomes
At the end of this course, students will be able to: Apply the concept of probability theory and random variable in stochastic problem; Distinguish the concept of Discrete Time-Markov Chains, Poisson Process, Continuous-Time Markov Chains, Renewal Process, Queuing Theory and Reliability Theory; Apply the techniques of stochastic processes to solve a real problem and interpret the results.
Topics
- Probability and Random Variables
- Discrete-Time Markov Chains
- Poisson Process
- Continuous-Time Markov Chains
- Renewal Process
- Queuing Theory
- Reliability Theory.
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