The article discusses using MATLAB to understand probability and random processes. It covers topics like basic probability, random variables, and different types of random processes. The researchers explore how to simulate these concepts on a computer and provide practical examples. Key findings include understanding expected values, conditional probabilities, and various types of random processes like Gaussian and Poisson processes. The goal is to make complex mathematical concepts more intuitive and accessible through computer simulations.