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Spreadsheet Tools for Engineers Using Excel (R) 2007
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Spreadsheet Tools for Engineers Using Excel (R) 2007 Paperback - 2009

by Gottfried, Byron

  • Used
  • Good
  • Paperback

Description

McGraw-Hill Companies, 2009. Paperback. Good. Missing dust jacket; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.Dust jacket quality is not guaranteed.
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Details

  • Title Spreadsheet Tools for Engineers Using Excel (R) 2007
  • Author Gottfried, Byron
  • Binding Paperback
  • Edition [ Edition: first
  • Condition Used - Good
  • Pages 528
  • Volumes 1
  • Language ENG
  • Publisher McGraw-Hill Companies, U.S.A.
  • Date 2009
  • Illustrated Yes
  • Features Illustrated, Index, Table of Contents
  • Bookseller's Inventory # G0073385867I3N01
  • ISBN 9780073385860 / 0073385867
  • Weight 1.75 lbs (0.79 kg)
  • Dimensions 9 x 7.3 x 0.8 in (22.86 x 18.54 x 2.03 cm)
  • Library of Congress subjects Electronic spreadsheets, Engineering - Data processing
  • Library of Congress Catalog Number 2008046724
  • Dewey Decimal Code 620.002

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From the publisher

This practical text is a perfect fit for introductory engineering courses by successfully combining an introduction to Excel fundamentals with a clear presentation on how Excel can be used to solve common engineering problems. Updated to ensure compatibility with Excel 2007, Spreadsheet Tools for Engineers Using Excel 2007 provides beginning engineering students with a strong foundation in problem solving using Excel as the modern day equivalent of the slide rule.

As part of McGraw-Hill's BEST series for freshman engineering curricula, this text is particularly geared toward introductory students. The author provides plenty of background information on technical terms, and provides numerous examples illustrating both traditional and spreadsheet solutions for a variety of engineering problems. The first three chapters introduce the basics of problem solving and Excel fundamentals. Beyond that, the chapters are largely independent of one another. Topics covered include graphing data, unit conversions, data analysis, interpolation and curve fitting, solving equations, evaluating integrals, creating macros, and comparing economic alternatives.