Simulation And Modelling
A Model is a simplification of
reality with intent to promote understanding while simulation is the act of the
execution with compression within space and time. Modelling and Simulation
therefore involves the identification of the major system variables termed as
states, the different levels of the states and the interactions between these
states. It can be applied to both closed and open systems. It is a discipline,
which finds wide and varied applications across many divides .We all model, all
the time, the only difference is the representation of our models and
simulation results .The formalization of the process is the discipline of “ Modelling
and Simulation “.
The course is intended to equip
students with skills in the basic system concept and definitions of system;
to model and simulate various systems;
and simulation methodologies considering both practical and theoretical aspects
The ability to analyze a system
and to make use of the information to improve the performance.
By the end of this Course, Students should be able
the fundamental laws of simulation and modelling.
random number generation, distribution sampling, and analysis of simulation
problem formulation, model building, data analysis, solution techniques, and
evaluation of alternative designs/processes in complex systems/products.
system concept, modelling methods, and different simulation techniques.
analyze systems using casual loop and stock
and flow diagrams.
fledged Computer Lab with Internet connection, some stand-alone PCs.