The study of stochastic processes is crucial in many scientific fields. It allows researchers to model and understand systems where chance plays a significant role. Key concepts within stochastic processes include probability distributions, random variables, and the expected value. Differentiating between deterministic and stochastic systems is fundamental. A deterministic system's future state can be precisely predicted if its initial state is known, whereas a stochastic system's future state can only be described in terms of probabilities. Mathematical tools like Markov chains and Brownian motion are used to analyze and predict the behavior of stochastic systems.