Titlebook: Basics of Probability and Stochastic Processes; Esra Bas Textbook 2019 Springer Nature Switzerland AG 2019 Markov chains.Random variables.

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Introduction to Random Variablesa random variable, and the variance and standard deviation of a random variable have been provided. In addition to the solutions of some typical examples and problems for the discrete and continuous random variables, one well-known problem, i.e. . (.) . has also been presented.

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Poisson Processon to a binomial random variable, the joint probability density function of the arrival times, and compound Poisson process were introduced. Some examples and problems including those related to the time of the earthquakes and the systems with different types of system failures were also presented.

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MOCK

An Introduction to Markov Chainsn, and ergodic Markov chain were explained. Several examples and problems have been solved for the discrete-time Markov chains, and where relevant, state transition diagrams and tables have been used to facilitate the comprehension of the solutions.