Liengme's Guide to Excel 2016 for Scientists and Engineers by Liengme, Bernard; Hekman, Keith;

(Windows and Mac)

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Product details:

Publisher Elsevier Science
Date of Publication 14 August 2019

ISBN 9780128182499
Binding Paperback
No. of pages414 pages
Size 234x190 mm
Weight 840 g
Language English

Categories

Applied mathematics Mathematics in engineering and natural sciences Engineering in general Mechanical Engineering Sciences Theory of computing, computing in general Operating systems and graphical user interfaces Software development Office softwares, spreadsheets Applied mathematics (charity campaign) Mathematics in engineering and natural sciences (charity campaign) Engineering in general (charity campaign) Mechanical Engineering Sciences (charity campaign) Theory of computing, computing in general (charity campaign) Operating systems and graphical user interfaces (charity campaign) Software development (charity campaign) Office softwares, spreadsheets (charity campaign)

Long description:

Liengme's Guide to Excel 2016 for Scientists and Engineers is a completely updated guide for students, scientists, and engineers who want to use Microsoft Excel 2016 to its full potential, whether you're using a PC or a Mac. 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.

More

1. Welcome to Microsoft Excel 20162. Basic Operations3. Printing in Excel4. Using Functions5. Decision Functions6. Data Mining7. Charting8. Regression Analysis9. VBA User-Defined Functions10. VBA Subroutines11. Modeling I12. Using Solver13. Numerical Integration14. Differential Equations15. Modeling II16. Statistics for Experimenters