System Modeling and Simulation is a discipline that uses computer-based models to imitate the operations of a real-world process or system over time. As a core area of system modeling and computer science, it involves first creating an abstract representation of the system—capturing its key components, variables, and logical rules—and then running a simulation to generate data that reveals the system's dynamic behavior. This powerful technique allows analysts to understand complex interactions, predict future outcomes, and test "what-if" scenarios in a controlled, virtual environment, enabling informed decision-making without the cost or risk of experimenting on the actual system.