My
first four years of University started with Mechanical Engineering and
ended with Electrical Engineering. My practical skills suggested that I
would crush myself with a 20,000 pound press as a Mechanical Engineer
and electrocute myself as an Electrical Engineer. Fortunately, I
demonstrated an exceptional aptitude for mathematics.
I was accepted into a Mathematics program at Michigan State University
where I ran into two seventeen year olds with IQs that could not be
measured. It 's very depressing to discover that I was a minor and not a
major league thinker.
I did, however, demonstrate enough capability to be the dumb guy in a
research and development group at the General Motors Technical Center.
Intellectual limitations notwithstanding, in order to be a part of that
community, I still needed certain credentials, which came into being
when I obtained advanced degrees (MS and Doctorate) studying the
course work below.
Mathematics
1] Pure Mathematics
Algebra Algebraic Geometry Analysis Discrete
Mathematics Dynamics Geometry & Topology Harmonic Analysis Logic &
Foundations Number Theory Set Theory
2] Applied Mathematics
Control Theory Dynamic Systems Non-linear Dynamics Numerical Analysis &
Computation Partial Differential Equations Ordinary Differential
Equations Applied Dynamics
3] Statistics &
Probability Applied Statistics Probability
Statistical Methodology Statistical Theory
Engineering
(partial)
4]Mechanical
Engineering
Applied Mechanics Computer-Aided
Engineering & Design Electro-Mechanical Systems Energy Systems Heat
Transfer Manufacturing
5 Operations Research, Systems
Engineering & Industrial Engineering
Industrial Engineering Operational Research
Systems Engineering
6] Emerging Fields:
Computational Engineering Information
Science
I spent my first 15 years of employment at General Motors as a
Mathematician/Programmer developing Computer Aided Design and Computer
Aided Manufacturing software now labeled as (CAD/CAM).
GM, MIT, and The Boeing Corporation were first to develop Computer Aided
Design (CAD) software. GM then exported that system to Adam Opel in
Germany to design automobiles for Europe. The work done to develop this
system is an example of the scientific method which is crucial in
developing solutions that work.
The Nature of Science
Science evolves when a scientist looks at a bunch of data or seemingly
very different events and develops a theory that explains them all. She
then submits her work to the scientific community (associated with her
discipline) with suggestions as to how to prove her theory WRONG.
If, after the entire community looks at her work and cannot prove it
wrong and provides additional proofs, it is accepted and used by the
community as CORRECT.
In his book: "The Structure of Scientific Revolutions",
Thomas S. Kuhn says sciences progress in a way that other fields do not:
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13/01/2009 04:24 PM |
(continued)
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There is a relative scarcity of
competing schools,
members of a given community
provide its primary audience,
-
Members are the only judges of
the community 's work,
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The nature of scientific
education is about puzzle solving,
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The
value system of a scientific group deploys in crisis and decision
making. To be a member of GM 's CAD/CAM community I met Kuhn 's
criteria:
Membership
-
How does one become a member?
Knowledge in Applied Mathematics and Engineering was required as
demonstrated by my Education
-
What is the process and what
are the stages of socialization to the group? I had to develop
theory and software that demonstrated that I was proficient in
programming and Mathematics.
-
What does the group
collectively see as its goals? Our goal was to design free form
car surfaces and computer tool positions to machine dies that
stamped out automobile surface parts (e.g. fender, hood, roof, outer
door, bumper).
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What deviations, individual
or collectively will it tolerate? I was considered almost normal
in this group.
-
How does it control the
impermissible aberration? If one could defend his proposed
solution before the team, the proposal was approved for further
work.
After approval, progress reports were submitted to management and the
team to insure the actual solution was reasonably close to the proposed
solution.
Thomas Kuhn was working on his Ph.D. at MIT when he decided to look at
the structure of science rather than become a member of the physics
community. His study required a strong scientific background, but his
subsequent work is considered to be social, cultural, archaeological,
biological, physical, and linguistic anthropology.
For further reading see Charles Wynn and Arthur Wiggins book where they
describe what are arguably "The Five Biggest Ideas in Science: "
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Big Idea #1: Physics
Model of the Atom -- Do basic building blocks exist, and if so what
do they look like?
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Big Idea # 2: Chemistry
's Periodic Law -- What relationships exist among different
kinds of atoms?
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Big Idea #3: Astronomy 's
Big Bang Theory -- Where did the atoms of the Universe come from,
and what is their identity?
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Big Idea #4: Geology's
Plate Tectonics Model -- How is the matter of the Universe arranged
on planet Earth?
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Big Idea #5: Biology 's
Theory of Evolution -- How did life on planet Earth originate and
develop?
Great science does more than validate ideas; it predicts
something that has not been observed. For example, Einstein predicted
that light would be bent by a large mass and space time would be curved.
He had not observed this.
With his famous E = mc2
he was just taking the old E=mv2
and pushing the velocity to the speed of light thereby showing that
Energy is nothing other than mass times a conversion factor. In the case
of the atom, it happens to release fantastic energy. This had not been
observed, but predicted by him.
Ed. Note. Dr. Jone's big
idea that science must not only be a theory, it has to predict was borne
out in his own work. The mathematical theory had to produce things
in a brand new way. This mathematics and technology had never been
done before in the history of science and technology. The men and
women who worked in that small and select field are proud of that.

For Reflection 1

For Reflection 2
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