MGMT 1000 Lecture Notes - Lecture 27: Binary Number, Tom Lehrer, Purr

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MGMT 1000 Lecture 27 Notes Data formats
Introduction
Ma liraries arr tets with suh titles as Eleetar Math.
A good, brief review of arithmetic as it applies to the computer can be found in the
Schaum outline series book Essential Computer Mathematics [LIPS82].
A fu itrodutio to ew ath a e foud o the reordig That Was the Year
That Was  To Lehrer [LEH‘].
In addition, most books on computer arithmetic contain substantial discussions of the
topics covered in this chapter.
Typical computer arithmetic books include those by Spaniol [SPAN81] and Kulisch and
Maranker [KULI81].
A clear and thorough discussion of this material can be found in the computer
architecture book by Hennessy and Patterson [HENN06].
You had a chance to explore some of the properties of the binary number system.
You are already aware that within the computer the binary number system is the system
of choice, both for all forms of data storage and for all internal processing of operations.
As hua eigs, we orall dot hoose to do our work i iar for.
Our communications are made up of language, images, and sounds.
For written communications, and for our own data storage, we most frequently use
alphanumeric characters and symbols, representing English or some other language.
Sometimes we communicate with a photograph, or a chart or diagram, or some other
image.
Images may be black and white or color.
They may be still frames or moving.
Sounds often represent a different, spoken, form of written language.
They may also represent other possibilities, such as music, the roar of an engine, or a
purr of satisfaction.
We perform calculations using numbers made up of a set of numeric characters.
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