Course info

General concepts of
systems. Discrete and continuous systems. Modelling and simulation of systems. State
vari­ables. Event scheduling. Comparison of analytical and simulation modelling
techniques. General structure of a discrete-event simulation system. Probabilistic
aspects of simulation. Simulation languages and software. Statistical models in
simulation. Random number and random variate generation techniques. Queu­ing models
in simulation. Input modelling. Verification and validation of simulation
models. Output (statistical) analysis and representation of simulation results.
Applications of simulation.