# ITM 207 Chapter Notes - Chapter Final: Modelling Biological Systems, Collision Detection, Applied Mathematics

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Published on 18 Apr 2013

Department

Information Technology Management

Course

ITM 207

Professor

Chapter 14 ITM 207 Final Exam Notes

Simulation, Graphics and Other Applications

Chapter 14

What is Simulation?

Simulation

A model of a complex system and the experimental manipulation of the

model to observe the results.

Systems that are best suited to being simulated are dynamic,

interactive, and complicated.

Model

An abstraction of a real system.

It is a representation of the objects within the system and the rules

that govern the interactions of the objects.

Constructing Models:

Continuous simulation

- Treats time as continuous

- Expresses changes in terms of a set of different equations that reflect the

relationships among the set of characteristics

- Meteorological models fall into this category

Discrete event simulation

Made up of entities, attributes, and events

o Entity: The representation of some object in the real system that

must be explicitly defined

o Attribute: Some characteristic of a particular entity

o Event: An interaction between entities.

Queuing Systems:

A discrete-event model that uses random numbers to represent the arrival

and duration of events.

This system is made up of:

o Servers

o Queues of objects to be served

To construct a queuing model, we must know:

- The number of events and how they affect the system in order to

determine the rules of entity interaction

- The number of servers

## Document Summary

A model of a complex system and the experimental manipulation of the model to observe the results. Systems that are best suited to being simulated are dynamic, interactive, and complicated. It is a representation of the objects within the system and the rules that govern the interactions of the objects. Expresses changes in terms of a set of different equations that reflect the relationships among the set of characteristics. Made up of entities, attributes, and events: entity: the representation of some object in the real system that must be explicitly defined, attribute: some characteristic of a particular entity, event: an interaction between entities. A discrete-event model that uses random numbers to represent the arrival and duration of events. This system is made up of: servers, queues of objects to be served. To construct a queuing model, we must know: The number of events and how they affect the system in order to determine the rules of entity interaction.