Markov processes is a mathematical framework for modeling stochastic systems characterized by the Markov property, where the future state depends solely on the current state, independent of prior history. This fundamental concept serves as a powerful methodology for analyzing sequences of events and dynamic systems in numerous scientific and engineering disciplines.