Computer modeling: Difference between revisions

Latest revision as of 06:47, 13 September 2021

Modeling & Simulation^[1]

A computer model is an abstract mathematic representations of a real-world event, system, behavior, or natural phenomenon. A computer model is designed to behave just like the real-life system. The more accurate the model, the closer it matches real-life.  ^[2]

A computer model is a translation of objects or phenomena from the real world into mathematical equations.^[3]

Why use a model[edit]

Thanks to https://www.igcseict.info for the content below. A model might be used:

To test a system without having to create the system for real (Building real-life systems can be expensive, and take a long time)
To predict what might happen to a system in the future (An accurate model allows us to go forward in virtual time to see what the system will be doing in the future)
To train people to use a system without putting them at risk (Learning to fly an airplane is very difficult and mistake will be made. In a real plane mistakes could be fatal!)
To investigate a system in great detail (A model of a system can be zoomed in/out or rotated. Time can be stopped, rewound, etc.)

Constructing a model[edit]

Model Construction Principle^[4]: Problems must be designed to allow for the creation of a model dealing with:

Elements
Relationships and operations between these elements
Patterns and rules governing these relationships

What is a useful model?[edit]

Two different types of models[edit]

deterministic A model or simulation where no randomness is involved.
stochastic A model or simulation that uses random numbers so that the system states and the output results are not exactly predictable from run to run.

Do I have a model?[edit]

I have identified important features / factors of whatever event(s) I hope to represent.
I identified rules that control those features and their relationships.
I have mathematically expressed those rules
I have adjusted for how likely each factor is.

Standards[edit]

Define the term computer modelling.

References[edit]

↑ http://www.flaticon.com/
↑ The second sentence is taken from: https://www.igcseict.info/theory/7_1/model/index.html
↑ https://www.encyclopedia.com/social-sciences-and-law/law/crime-and-law-enforcement/computer-modeling
↑ https://serc.carleton.edu/sp/library/mea/what.html

[1] ttp://www.flaticon.com/

[2] The second sentence is taken from: https://www.igcseict.info/theory/7_1/model/index.html

[3] ttps://www.encyclopedia.com/social-sciences-and-law/law/crime-and-law-enforcement/computer-modeling

[4] ttps://serc.carleton.edu/sp/library/mea/what.html

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[2]

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@@ Line 1: / Line 1: @@
 [[file:simulation.png|right|frame|Modeling & Simulation<ref>http://www.flaticon.com/</ref>]]
-Modeling and simulation are two sides of the same coin. Computer simulation is the reproduction of the behavior of a system using a computer to simulate the outcomes of a mathematical model associated with said system.<ref>https://en.wikipedia.org/wiki/Computer_simulation</ref>
+ A computer model is an abstract mathematic representations of a real-world event, system, behavior, or natural phenomenon. A computer model is designed to behave just like the real-life system. The more accurate the model, the closer it matches real-life.  <ref>The second sentence is taken from: https://www.igcseict.info/theory/7_1/model/index.html</ref>
-Constructing and manipulating abstract (mathematical and/or graphical) representations of economic, engineering, manufacturing, social, and other types of situations and natural phenomenon, simulated with the help of a computer system. <ref>http://www.businessdictionary.com/definition/computer-modeling.html</ref>
+ A computer model is a translation of objects or phenomena from the real world into mathematical equations.<ref>https://www.encyclopedia.com/social-sciences-and-law/law/crime-and-law-enforcement/computer-modeling</ref>
+== Why use a model ==
+Thanks to https://www.igcseict.info for the content below. A model might be used:
+* To test a system without having to create the system for real (Building real-life systems can be expensive, and take a long time)
+* To predict what might happen to a system in the future (An accurate model allows us to go forward in virtual time to see what the system will be doing in the future)
+* To train people to use a system without putting them at risk (Learning to fly an airplane is very difficult and mistake will be made. In a real plane mistakes could be fatal!)
+* To investigate a system in great detail (A model of a system can be zoomed in/out or rotated. Time can be stopped, rewound, etc.)
+== Constructing a model ==
+Model Construction Principle<ref>https://serc.carleton.edu/sp/library/mea/what.html</ref>: Problems must be designed to allow for the creation of a model dealing with:
+* Elements
+* Relationships and operations between these elements
+* Patterns and rules governing these relationships
+== What is a useful model? ==
+<html>
+<iframe width="560" height="315" src="https://www.youtube.com/embed/uWuNfhDvZz8" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
+</html>
+== Two different types of models ==
+'''deterministic'''
+A model or simulation where no randomness is involved.<br />
+'''stochastic'''
+A model or simulation that uses random numbers so that the system states and the output results are not exactly
+predictable from run to run.
+== Do I have a model? ==
+# I have identified important features / factors of whatever event(s) I hope to represent.
+# I identified rules that control those features and their relationships.
+# I have mathematically expressed those rules
+# I have adjusted for how likely each factor is.
 == Standards ==