OCEAN 320 Chapter Notes - Chapter Unit 1A: Thermostat

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26 May 2018
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Unit 1A: Science & Systems
1A Systems Article
System: Any collection of things that have some influence on one another
o Collections redefined as systems: implies each part is fully understandable only in
relation to rest of system
o When defining a system: must include enough parts so that their relationship to
one another makes sense (which depends on what our purpose in defining them
is)
This means scientists include data that is relevant to their studies and
exclude data that isn’t
ALSO: depends on how broad/specific an answer one needs; broad
answers require more generalized data on fewer contributing factors; more
specific and detailed answers require consideration of all possible moving
parts
o Drawing boundaries defines if we do or do not understand what is happening and
how
suggests the need to look for certain kinds of influence and behavior
consider a system's inputs and outputs; engine inputs air/fuel, outputs
heat/exhaust/mechanics
sometimes, a system’s outputs are another system’s inputs; fruit/flowers
are the outputs of plants, but the inputs of the animals/insects that may eat
them
some portion of the output of a system may be included in the system's
own input; that feedback controls what occurs within a system (by
encouraging, discouraging, or modifying events)
information feedback as well as material feedback; info feedback involves
a comparison mechanism as part of the system (ex; thermostat compares
desired temperature to actual temperature and turns on heating or cooling
to close the gap)
o subsystem: any part of a system that may be considered its own system
any system is likely to be part of a larger system that it influences and that
influences it
some systems are so closely related that it is hard to draw boundaries
between them at all, and some individuals can contribute to multiple
systems as such
model: simplified imitation that either suggests how something works or how it might
work; may be a device, a plan, a drawing, an equation, a computer program, or even just
a mental image
o when model doesn’t mimic the phenomenon well, nature of the discrepancy is a
clue to how the model can be improved
o can also mislead, to show that characteristics are not shared with what is being
modeled
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