1. Which advantage of simulation models makes computational modeling a particularly attractive tool for designing totally new systems?
2. What about stochastic components makes some systems difficult to model?
3. What happens in a simulated system when we process an event?
4. If a value in a simulation model behaves in a random fashion, but follows a statistical distribution pattern, what are the implications of this?
5. With what is the field of scientific visualization concerned?
6. List at least four reasons for the construction of a simulation model as opposed to the study of the system itself, or a physical replica of the system.
7. Discuss how you can discover whether or not a value (number of customers served in a restaurant) follows a statistical distribution.
8. What is the difference between computer graphics and scientific visualization?
