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

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Published on 18 Apr 2013
School
Ryerson University
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
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## 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.