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(CIS331 -SystmMdlngThry) System Modelng wth Excl (Wk1 Asgnmnt -Sprng 2010)

(CIS331 -SystmMdlngThry) System Modelng wth Excl (Wk1 Asgnmnt -Sprng 2010)

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System Modeling with Excel Our cause and effect world is guided primarily by systems; all of which can be mathematically modeled. Excel supplies the perfect medium through interactive and illustrative spreadsheets. Its architecture is quite effective for presentation, which is the first step towards understanding. Logically understanding a system’s realistic scenarios is elemental when using or explaining it to another. A system’s variables are characterized by entities and its cause and effect values correspond to intersecting lines. Excel’s equations can show a changed variable causing another’s value to rise or fall. Its structure is effective with any size system since spreadsheets have the ability to interact with each other, and can therefore show relationships across the
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Unformatted text preview: board. The mathematic nature of Excel makes it obviously proficient with analysis, but there are many features that make the software useful for illustrative purposes as well. There are charts, graphs, and tables ready to show statistical figures or simulations. Diagrams, and even a dictionary, are ready to explain the dialog of the many communicating objects. The flow of data is not limited to use by Excel’s tool alone; there are many compatible add-ons available as well. Its capacity to make data available to other modeling and data-management tools makes it a more attractive platform for designers. The ‘art’ of modeling spreadsheet may very well lie in the interactive experience Excel provides for mathematical, but realistic modelers....
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