General concepts of
systems. Discrete and continuous systems. Modelling and simulation of systems. Concept of a state and state variables. Event driven systems and event scheduling. Physical, 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 and their use in simulation. Verification and validation of simulation
models. Input modelling. Results collection. Output (statistical) analysis and representation of simulation results.
Applications of simulation.
- Teacher: Dervis Deniz