Modelling and Simulation are indispensable tools across various fields, ranging from engineering and science to economics and social sciences. At its core, modelling involves creating simplified representations of complex systems to understand their behavior, while simulation entails running experiments on these models to observe how they evolve over time or under different conditions. In engineering, modelling and simulation play a crucial role in designing and optimizing systems before they are built. For instance, in aerospace engineering, computational fluid dynamics (CFD) simulations are used to predict airflow around aircraft to optimize aerodynamic performance and fuel efficiency. Similarly, in civil engineering, finite element analysis (FEA) is employed to simulate structural behavior and ensure the safety and stability of buildings and bridges.
In the realm of healthcare, modelling and simulation are utilized to study the spread of diseases, assess the effectiveness of different treatment strategies, and optimize resource allocation in hospitals. Epidemiological models, for example, help public health officials make informed decisions about implementing interventions during disease outbreaks, such as vaccination campaigns or social distancing measures. Moreover, in finance and economics, simulation models are employed to forecast market trends, evaluate investment strategies, and assess the impact of policy changes on the economy. These models provide valuable insights for decision-makers in navigating complex financial systems and mitigating risks.