Stochastic integration is a fundamental concept and methodological approach within stochastic calculus, extending the notion of integration to incorporate stochastic processes as integrators. It investigates the properties and evaluation of integrals involving random functions or measures, enabling the rigorous analysis and modeling of dynamic systems subject to random fluctuations, which is crucial in fields such as mathematical finance, physics, and engineering.