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The Road to Reality: A Complete Guide to the Laws of the Universe


Roger Penrose - 2004
    From the very first attempts by the Greeks to grapple with the complexities of our known world to the latest application of infinity in physics, The Road to Reality carefully explores the movement of the smallest atomic particles and reaches into the vastness of intergalactic space. Here, Penrose examines the mathematical foundations of the physical universe, exposing the underlying beauty of physics and giving us one the most important works in modern science writing.

The Algorithm Design Manual


Steven S. Skiena - 1997
    Drawing heavily on the author's own real-world experiences, the book stresses design and analysis. Coverage is divided into two parts, the first being a general guide to techniques for the design and analysis of computer algorithms. The second is a reference section, which includes a catalog of the 75 most important algorithmic problems. By browsing this catalog, readers can quickly identify what the problem they have encountered is called, what is known about it, and how they should proceed if they need to solve it. This book is ideal for the working professional who uses algorithms on a daily basis and has need for a handy reference. This work can also readily be used in an upper-division course or as a student reference guide. THE ALGORITHM DESIGN MANUAL comes with a CD-ROM that contains: * a complete hypertext version of the full printed book. * the source code and URLs for all cited implementations. * over 30 hours of audio lectures on the design and analysis of algorithms are provided, all keyed to on-line lecture notes.

Digital Systems: Principles and Applications


Ronald J. Tocci - 1977
    KEY TOPICS For each new device or circuit, the authors describe the principle of the operation, give thorough examples, and then show its actual application. An excellent reference on modern digital systems.

MATLAB: An Introduction with Applications


Amos Gilat - 2003
    The first chapter describes basic features of the program and shows how to use it in simple arithmetic operations with scalars. The next two chapters focus on the topic of arrays (the basis of MATLAB), while the remaining text covers a wide range of other applications. Computer screens, tutorials, samples, and homework questions in math, science, and engineering, provide the student with the practical hands-on experience needed for total proficiency.

Subjects Matter: Exceeding Standards Through Powerful Content-Area Reading


Harvey Daniels - 2014
    This book is about making those encounters as compelling as we can make them." -Harvey "Smokey" Daniels and Steven ZemelmanWe are specialists to the bone-in science, math, social studies, art, music, business, and foreign language. But now, the Common Core and state standards require us to help our students better understand the distinctive texts in our subject areas. "Nobody's making us into reading teachers," write Smokey Daniels and Steve Zemelman, "but we must become teachers of disciplinary thinking through our students' reading."If this shift sounds like a tough one, Subjects Matter, Second Edition is your solution. Smokey and Steve, two of America's most popular educators, share exactly what you need to help students read your nonfiction content closely and strategically: 27 proven teaching strategies that help meet-and exceed-the standards how-to suggestions for engaging kids with content through wide, real-world reading a lively look at using "boring" textbooks motivating instruction that's powered by student collaboration specifics for helping struggling readers succeed.Subjects Matter, Second Edition enables deep, thoughtful learning for your students, while keeping the irreverent, inspiring heart that's made the first edition indispensable. You'll discover fresh and re-energized lessons, completely updated research, and vibrant vignettes from new colleagues and old friends who have as much passion for their subjects as you do."We'll be using methods particular to our fields as well as engaging reading materials that help students understand and remember our content better," write Smokey and Steve. "We can realize that vision of the light going on in kids' heads and maybe fill them with enthusiasm about the amazing subject matter that we have to offer. Sound good? Let's get to work." Read a sample chapter from Subjects Matter, Second Edition.

Secrets and Lies: Digital Security in a Networked World


Bruce Schneier - 2000
    Identity Theft. Corporate Espionage. National secrets compromised. Can anyone promise security in our digital world?The man who introduced cryptography to the boardroom says no. But in this fascinating read, he shows us how to come closer by developing security measures in terms of context, tools, and strategy. Security is a process, not a product – one that system administrators and corporate executives alike must understand to survive.This edition updated with new information about post-9/11 security.

Physics for Scientists and Engineers


Paul Allen Tipler - 1981
    Now in its fourth edition, the work has been extensively revised, with entirely new artwork, updated examples and new pedagogical features. An interactive CD-ROM with worked examples is included. Alternatively, the material on from the CD-ROM can be down-loaded from a website (see supplements section). Twentieth-century developments such as quantum mechanics are introduced early on, so that students can appreciate their importance and see how they fit into the bigger picture.

The Art of Electronics


Paul Horowitz - 1980
    Widely accepted as the authoritative text and reference on electronic circuit design, both analog and digital, this book revolutionized the teaching of electronics by emphasizing the methods actually used by circuit designers -- a combination of some basic laws, rules of thumb, and a large bag of tricks. The result is a largely nonmathematical treatment that encourages circuit intuition, brainstorming, and simplified calculations of circuit values and performance. The new Art of Electronics retains the feeling of informality and easy access that helped make the first edition so successful and popular. It is an ideal first textbook on electronics for scientists and engineers and an indispensable reference for anyone, professional or amateur, who works with electronic circuits.

Electronic Devices (Conventional Current Version)


Thomas L. Floyd - 1984
    Floyd is well known for straightforward, understandable explanations of complex concepts, as well as for non-technical, on-target treatment of mathematics. The extensive use of examples, Multisim simulations, and graphical illustrations makes even complex concepts understandable. From discrete components, to linear integrated circuits, to programmable analog devices, this books¿ coverage is well balanced between discrete and integrated circuits. Also includes focus on power amplifiers; BJT and FET amplifiers; advanced integrated circuits–instrumentation and isolation amplifiers; OTAs; log/antilog amplifiers; and converters. Thorough coverage of optical topics–high intensity LEDs and fiber optics. Devices sections on differential amplifiers and the IGBT (insulated gate bipolar transistor) are now included. For electronics technicians.

Project Management: Achieving Competitive Advantage


Jeffrey K. Pinto - 2006
    Cases, examples and problems from a variety of project types are used to illustrate the text.

The Scientist's Guide to Writing: How to Write More Easily and Effectively Throughout Your Scientific Career


Stephen B. Heard - 2016
    The Scientist's Guide to Writing provides practical advice to help scientists become more effective writers so that their ideas have the greatest possible impact.Drawing on his own experience as a scientist, graduate adviser, and editor, Stephen Heard emphasizes that the goal of all scientific writing should be absolute clarity; that good writing takes deliberate practice; and that what many scientists need are not long lists of prescriptive rules but rather direct engagement with their behaviors and attitudes when they write. He combines advice on such topics as how to generate and maintain writing momentum with practical tips on structuring a scientific paper, revising a first draft, handling citations, responding to peer reviews, managing coauthorships, and more.In an accessible, informal tone, The Scientist's Guide to Writing explains essential techniques that students, postdoctoral researchers, and early-career scientists need to write more clearly, efficiently, and easily.Emphasizes writing as a process, not just a productEncourages habits that improve motivation and productivityExplains the structure of the scientific paper and the function of each partProvides detailed guidance on submission, review, revision, and publicationAddresses issues related to coauthorship, English as a second language, and more

Why Are All the Good Teachers Crazy?


Frank Stepnowski - 2009
    With equal parts humanity, insanity, and profanity, Frank Stepnowski, a twenty year veteran of the academic wars, offers unique insight into a world everybody knows about but very few understand. "Step" as he was re-christened by his students, pulls no punches in the classroom, and takes no prisoners in his writing debut. The title, which comes from a line that the author heard many times throughout his career, is both a confession and a confirmation. "I wanted a book," he explains, "that would make people laugh out loud but also open their eyes to just how insane the teaching profession can get. With that in mind, the book is a riotous success, providing searing insight into the classroom and giving an iconoclastic voice to a profession that often goes unheard. Why Are All the Good teachers Crazy? is a wake up call for some, a rallying cry for others, and an invitation to laugh and learn for everyone.Based on actual events, the vivid imagery, colorful characters, and incendiary dialogue of this nuclear powered novel will take readers on a roller coaster ride that they will be talking about long after the ride is over.

Conceptual Physics


Paul G. Hewitt - 1971
    Hewitt's text is famous for engaging readers with analogies and imagery from real-world situations that build a strong conceptual understanding of physical principles ranging from classical mechanics to modern physics. With this strong foundation, readers are better equipped to understand the equations and formulas of physics, and motivated to explore the thought-provoking exercises and fun projects in each chapter. Included in the package is the workbook. Mechanics, Properties of Matter, Heat, Sound, Electricity and Magnetism, Light, Atomic and Nuclear Physics, Relativity. For all readers interested in conceptual physics.

The Theoretical Minimum: What You Need to Know to Start Doing Physics


Leonard Susskind - 2013
    In this unconventional introduction, physicist Leonard Susskind and hacker-scientist George Hrabovsky offer a first course in physics and associated math for the ardent amateur. Unlike most popular physics books—which give readers a taste of what physicists know but shy away from equations or math—Susskind and Hrabovsky actually teach the skills you need to do physics, beginning with classical mechanics, yourself. Based on Susskind's enormously popular Stanford University-based (and YouTube-featured) continuing-education course, the authors cover the minimum—the theoretical minimum of the title—that readers need to master to study more advanced topics.An alternative to the conventional go-to-college method, The Theoretical Minimum provides a tool kit for amateur scientists to learn physics at their own pace.

Hands-On Machine Learning with Scikit-Learn and TensorFlow


Aurélien Géron - 2017
    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details