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Author Liengme, Bernard V.

Title A guide to Microsoft Excel 2007 for scientists and engineers / Bernard V. Liengme ; with David J. Ellert
Published Amsterdam ; Boston : Academic Press/Elsevier, ©2009
Online access available from:
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Description 1 online resource (x, 326 pages) : illustrations
Contents 1. The Microsoft Excel Window -- 2. Basic Operations -- 3. Printing a Worksheet -- 4. Using Functions -- 5. Decision Functions -- 6. Charts -- 7. Curve Fitting -- 8. User-defined Functions -- 9. Modelling I -- 10. Solving Equations -- 11. Numerical Integration -- 12. Differential Equations -- 13. Modelling II -- 14. Statistics for Experimenters -- 15. Report Writing
Summary Completely updated guide for scientists, engineers and students who want to use Microsoft Excel 2007 to its full potential. Electronic spreadsheet analysis has become part of the everyday work of researchers in all areas of engineering and science. Microsoft Excel, as the industry standard spreadsheet, has a range of scientific functions that can be utilized for the modeling, analysis and presentation of quantitative data. This text provides a straightforward guide to using these functions of Microsoft Excel, guiding the reader from basic principles through to more complicated areas such as formulae, charts, curve-fitting, equation solving, integration, macros, statistical functions, and presenting quantitative data
Analysis Engineering Data processing
Microsoft Excel (Computer file)
Science Data processing
Notes Includes index
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. MiAaHDL
Print version record
digitized 2011 HathiTrust Digital Library committed to preserve pda MiAaHDL
Subject Microsoft Excel (Computer file)
Microsoft Excel (Computer file)
Microsoft Excel (Computer file)
Icrosoft Excel (logiciel)
Engineering -- Data processing.
Science -- Data processing.
COMPUTERS -- Desktop Applications -- General.
COMPUTERS -- Data Processing.
Engineering -- Data processing.
Science -- Data processing.
Ingénierie -- Informatique.
Sciences -- Informatique.
Form Electronic book
ISBN 9780123746238