Exam 13: Simulation and Modeling

Discuss how you can discover whether or not a value (number of customers served in a restaurant)follows a statistical distribution.

Computational steering is usually feasible  using physical models. _________________________

Virtually every branch of science and engineering makes use of ____________________.

In a(n)____________________ event simulation, we model time as continuous.

We always know, in a mathematical sense, exactly how to describe certain types of systems and behaviors.

The use of ____ becomes even more important as the amount of output increases and grows more complex.

The very essence of randomness is that we can never know what event will occur next. _________________________

If we know the ____, then the computer can generate a sequence of random numbers that follows this pattern, and this sequence accurately models the time it takes to serve customers in real life.

It is certainly a lot easier to work with a numerical description of data than a visualization.

What is the difference between computer graphics and scientific visualization?

It is the ____ of a model who best determines what data should be collected and displayed.

When we process an event, we change the ____ of the simulated system in the same way that the actual system would change if this event had occurred in real life.

Simulation model is another term for ___________ model.

Discuss at length some of the ethical reasoning for using computational models over physical models. What sorts of physical models may pose an ethical dilemma?

The field of ____ is concerned with the issue of how to visualize data in a way that highlights its important characteristics and simplifies its interpretation.

A ____ is a representation of the system being studied, which we claim behaves much like the original.

It is possible to discover the same features displayed in a graph from a textual representation of the output of a model, but it would probably take much more time.

In a ____, we write out a set of explicit mathematical equations that describes the behavior of a system as a continuous function of time t.

Providing an example, discuss image animation as a form of scientific visualization.

If a value in a simulation model behaves in a random fashion but follows a statistical distribution pattern, what are the implications of this?