Guide to Microsoft Excel for Scientists and Engineers
Bernard V. Liengme(Author)
Butterworth-Heinemann (Publisher)
2nd Edition
Published on 31. August 2000
Book
Paperback/Softback
240 pages
978-0-7506-5057-1 (ISBN)
Article exhausted; check for reprint
Description
Microsoft Excel has a wide range of scientific functions that the average user would never encounter, let alone utilize, and students keen to use Excel to analyze and represent the results of their experiments are currently forced to wade through almost incomprehensible manuals on Excel. "A Guide to Microsoft Excel for Scientists and Engineers" gives scientific and engineering students an introduction to the use of excel for the analysis and presentation of experimental results, before going on to discuss some of the more advanced functions, such as modelling. Completely updated to cover the latest versions of Excel, including 2000, this text also includes new material on functions, statistics and the "Solver" tool. In addition, this book focuses on: formulas; charts; curve-fitting; equation solving; integration; macros; statistical functions; logic functions; databases; and macros.
More details
Edition
2nd Revised edition
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Elsevier Science & Technology
Target group
College/higher education
Professional and scholarly
Edition type
Revised edition
Illustrations
100 b&w illustrations
Dimensions
Height: 244 mm
Width: 172 mm
Weight
540 gr
ISBN-13
978-0-7506-5057-1 (9780750650571)
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Schweitzer Classification
Other editions
New editions

Bernard Liengme
Guide to Microsoft Excel 2002 for Scientists and Engineers
Book
07/2002
3rd Edition
Newnes
€37.13
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Previous edition

Bernard V. Liengme
A Guide to Microsoft Excel for Scientists and Engineers
Book
03/1997
Butterworth-Heinemann
€38.56
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Content
The Microsoft window; printing a worksheet; basic operations; using functions; the IF function; charts; curve fitting; user defined functions; modelling I; solving equations; modelling II; report writing; statistics.