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  • Format: ePub

How Things Work: The Computer Science Edition will serve as a roadmap for readers who want to overcome their technophobia and harness the full power of everyday technology. After finishing the book, readers will understand how computers and smartphones function and, more importantly, how they can make these devices work for them.

  • Geräte: eReader
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  • Größe: 7.04MB
Produktbeschreibung
How Things Work: The Computer Science Edition will serve as a roadmap for readers who want to overcome their technophobia and harness the full power of everyday technology. After finishing the book, readers will understand how computers and smartphones function and, more importantly, how they can make these devices work for them.


Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
Charles F. Bowman is a respected Senior Software Architect serving numerous prestigious clients, including the New York Stock Exchange and the United States Patent Office. He has taught both graduate and undergraduate computer science courses at St. John's University, the City University of New York, and St. Thomas Aquinas College.

Mr. Bowman has published several books, including Algorithms and Data Structures: An Approach in C (Harcourt Brace/Oxford University Press); Objectifying Motif (Cambridge University Press/SIGs Books); Wisdom of the Gurus (Cambridge University Press/SIGs Books); and Broadway: The Complete Internet Architecture (Addison/Wesley).

Mr. Bowman has served as Editor-in-Chief for The X Journal, UNIX Developer, and CORBA Development; and Series Editor for the Managing Object Technology book series of Cambridge University Press/SIGs Books. He is also a regular contributor to many respected journals and magazines. (A complete list of publications is available upon request.)

A graduate of New York's prestigious Brooklyn Technical High School, Mr. Bowman holds a BS degree in Computer Science from St. John's University and an MS degree in Computer Science from New York University.