New PDF release: Art of Doing Science and Engineering: Learning to Learn

New PDF release: Art of Doing Science and Engineering: Learning to Learn

By Richard W. Hamming

ISBN-10: 9056995014

ISBN-13: 9789056995010

Powerful pondering is an paintings that engineers and scientists may be taught to improve. through offering real reviews and examining them as they're defined, the writer conveys the developmental suggestion approaches hired and exhibits a method of pondering that results in winning effects is anything that may be discovered. in addition to staggering successes, the writer additionally conveys how mess ups assisted in shaping the concept techniques.
Provides the reader with a mode of pondering that may increase a person's skill to operate as a problem-solver of advanced technical matters. comprises a set of news in regards to the author's participation in major discoveries, concerning how these discoveries happened and, most significantly, offers research concerning the suggestion techniques and reasoning that came about because the writer and his affiliates improved via engineering difficulties.

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Additional resources for Art of Doing Science and Engineering: Learning to Learn

Sample text

This view is useful, at times, when debugging (finding errors) in a program; indeed is what you must assume when you try to debug. You assume the machine obeys the instructions one at a time, and does nothing more—it has no “free will” or any of the other attributes such as the self-awareness and self-consciousness we often associate with humans. How different are we in practice from the machines? We would all like to think we are different from machines, but are we essentially? It is a touchy point for most people, and the emotional and religious aspects tend to dominate most arguments.

There is value in the machine view of a computer, that it is just a collection of storage devices and gates processing bits, and nothing more. This view is useful, at times, when debugging (finding errors) in a program; indeed is what you must assume when you try to debug. You assume the machine obeys the instructions one at a time, and does nothing more—it has no “free will” or any of the other attributes such as the self-awareness and self-consciousness we often associate with humans. How different are we in practice from the machines?

It was this that Swift satirized in his Gulliver’s Travels when Gulliver was on the island of Laputa, and I have the impression Laputa corresponds to Majorca where Lull flourished. In the early years of modern computing, say around 1940s and 1950s, “number crunching” dominated the scene since people who wanted hard, firm numbers were the only ones with enough money to afford the price (in those days) of computing. As computing costs came down the kinds of things we could do economically on computers broadened to include many other things than number crunching.

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Art of Doing Science and Engineering: Learning to Learn by Richard W. Hamming


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