Overview
Multidisciplinary model-building is a methodological branch of systems theory, which permits us to overcome the shortcomings of the compartmentalization within our education al systems, and combines the different scientific concepts and causes synergetic effects. Mathematical models, which are verified (correctness of the model solution) and validated (correctness of the model itself) give insight into the problem and the process under consideration. They are the result of prior knowledge from theoretical analysis combined with experimental analysis. Multidisciplinary model-building is a methodological branch of systems engineering. Systems are elements/objects which can be abstract material: A system of equations, a computer program, parts of social, societal and economic processes are examples of abstract systems. An airplane, a car, a machine, a harbour, a bridge, etc. are examples of material systems. Reliable mathematical models are required, which can serve for design, prediction/forecasting and simulation of their behaviour (functioning under environmental conditions), and for their future technological effects (technology assessment).Synopsis
Multidisciplinary model-building is a methodological branch of systems theory, which permits us to overcome the shortcomings of the compartmentalization within our education al systems, and combines the different scientific concepts and causes synergetic effects. Mathematical models, which are verified (correctness of the model solution) and validated (correctness of the model itself) give insight into the problem and the process under consideration. They are the result of prior knowledge from theoretical analysis combined with experimental analysis. Multidisciplinary model-building is a methodological branch of systems engineering. Systems are elements/objects which can be abstract material: A system of equations, a computer program, parts of social, societal and economic processes are examples of abstract systems. An airplane, a car, a machine, a harbour, a bridge, etc. are examples of material systems. Reliable mathematical models are required, which can serve for design, prediction/forecasting and simulation of their behaviour (functioning under environmental conditions), and for their future technological effects (technology assessment).