Essential Quotes for Scientists and Engineers

Essential Quotes for Scientists and Engineers PDF

Author: Konstantin K. Likharev

Publisher: Springer Nature

Published: 2021-02-27

Total Pages: 239

ISBN-13: 3030633322

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This book brings together about 2,500 quotations on various topics of interest to scientists and engineers, including students of STEM disciplines. Careful curation of the material by the editor provides the reader with far greater value than can be obtained by searching the internet. The quotes have been selected for various attributes including: importance of topic, depth of insight, and - not least - wit, with many of them satisfying all these criteria. To make sequential reading of the quotes more engaging, they are grouped into broad topical sections, and the entries within each section are organized thematically, forming quasi-continuous narrative threads. The text and authorship of each quote have been carefully verified, and the most popular cases of misquotation and misattribution are noted. The book represents a valuable resource for those writing science and engineering articles as well as being a joy to read in its own right.

Essential MATLAB for Scientists and Engineers

Essential MATLAB for Scientists and Engineers PDF

Author: Brian D. Hahn

Publisher: Butterworth-Heinemann

Published: 2002

Total Pages: 304

ISBN-13: 0750652403

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"This completely revised new edition is based on the lastest version of MATLAB. New chapters cover handle graphics, graphical user interfaces (GUIs), structures and cell arrays, and importing/exporting data. The chapter on numerical methods now includes a general GUI-driver ODE solver."--Jacket.

Essential MATLAB for Engineers and Scientists

Essential MATLAB for Engineers and Scientists PDF

Author: Brian Hahn

Publisher: Elsevier

Published: 2007-01-29

Total Pages: 448

ISBN-13: 9780080471501

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Essential MATLAB for Engineers and Scientists, Third Edition, is an essential guide to MATLAB as a problem-solving tool. It presents MATLAB both as a mathematical tool and a programming language, giving a concise and easy-to-master introduction to its potential and power. Stressing the importance of a structured approach to problem solving, the text provides a step-by-step method for program design and algorithm development. It includes numerous simple exercises for hands-on learning, a chapter on algorithm development and program design, and a concise introduction to useful topics for solving problems in later engineering and science courses: vectors as arrays, arrays of characters, GUIs, advanced graphics, and simulation and numerical methods. The text is ideal for undergraduates in engineering and science taking a course on Matlab. Numerous simple exercises give hands-on learning A chapter on algorithm development and program design Common errors and pitfalls highlighted Concise introduction to useful topics for solving problems in later engineering and science courses: vectors as arrays, arrays of characters, GUIs, advanced graphics, simulation and numerical methods A new chapter on dynamical systems shows how a structured approach is used to solve more complex problems. Text and graphics in four colour

Falling Behind?

Falling Behind? PDF

Author: Michael S. Teitelbaum

Publisher: Princeton University Press

Published: 2014-03-30

Total Pages: 278

ISBN-13: 069115466X

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How the fear of a shortage in American science talent fuels cycles in the technical labor market Is the United States falling behind in the global race for scientific and engineering talent? Are U.S. employers facing shortages of the skilled workers that they need to compete in a globalized world? Such claims from some employers and educators have been widely embraced by mainstream media and political leaders, and have figured prominently in recent policy debates about education, federal expenditures, tax policy, and immigration. Falling Behind? offers careful examinations of the existing evidence and of its use by those involved in these debates. These concerns are by no means a recent phenomenon. Examining historical precedent, Michael Teitelbaum highlights five episodes of alarm about "falling behind" that go back nearly seventy years to the end of World War II. In each of these episodes the political system responded by rapidly expanding the supply of scientists and engineers, but only a few years later political enthusiasm or economic demand waned. Booms turned to busts, leaving many of those who had been encouraged to pursue science and engineering careers facing disheartening career prospects. Their experiences deterred younger and equally talented students from following in their footsteps—thereby sowing the seeds of the next cycle of alarm, boom, and bust. Falling Behind? examines these repeated cycles up to the present, shedding new light on the adequacy of the science and engineering workforce for the current and future needs of the United States.

Speaking of Science

Speaking of Science PDF

Author: Jon Fripp

Publisher: Newnes

Published: 2000-04

Total Pages: 262

ISBN-13: 9781878707512

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Easy to use, the volume is organized into major scientific categories and subcategories. Many of the quotes are hilarious, and all are insightful. Each quote is carefully referenced, and relevant information about the speaker is also provided.

The Essential Engineer

The Essential Engineer PDF

Author: Henry Petroski

Publisher: Vintage

Published: 2011-03-08

Total Pages: 290

ISBN-13: 0307473503

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From the acclaimed author of The Pencil and To Engineer Is Human, The Essential Engineer is an eye-opening exploration of the ways in which science and engineering must work together to address our world’s most pressing issues, from dealing with climate change and the prevention of natural disasters to the development of efficient automobiles and the search for renewable energy sources. While the scientist may identify problems, it falls to the engineer to solve them. It is the inherent practicality of engineering, which takes into account structural, economic, environmental, and other factors that science often does not consider, that makes engineering vital to answering our most urgent concerns. Henry Petroski takes us inside the research, development, and debates surrounding the most critical challenges of our time, exploring the feasibility of biofuels, the progress of battery-operated cars, and the question of nuclear power. He gives us an in-depth investigation of the various options for renewable energy—among them solar, wind, tidal, and ethanol—explaining the benefits and risks of each. Will windmills soon populate our landscape the way they did in previous centuries? Will synthetic trees, said to be more efficient at absorbing harmful carbon dioxide than real trees, soon dot our prairies? Will we construct a “sunshade” in outer space to protect ourselves from dangerous rays? In many cases, the technology already exists. What’s needed is not so much invention as engineering. Just as the great achievements of centuries past—the steamship, the airplane, the moon landing—once seemed beyond reach, the solutions to the twenty-first century’s problems await only a similar coordination of science and engineering. Eloquently reasoned and written, The Essential Engineer identifies and illuminates these problems—and, above all, sets out a course for putting ideas into action.

Essential Math for AI

Essential Math for AI PDF

Author: Hala Nelson

Publisher: "O'Reilly Media, Inc."

Published: 2023-01-04

Total Pages: 1128

ISBN-13: 1098107586

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Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory. Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter notebooks shed light on examples with Python code and visualizations. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to dive deeper in the field. Understand the underlying mathematics powering AI systems, including generative adversarial networks, random graphs, large random matrices, mathematical logic, optimal control, and more Learn how to adapt mathematical methods to different applications from completely different fields Gain the mathematical fluency to interpret and explain how AI systems arrive at their decisions