Guide to Microsoft Excel for Scientists and Engineers

Liengme, Bernard V.

ISBN 10: 0750650575 / ISBN 13: 9780750650571

Published by Butterworth-Heinemann Ltd, 2000

About this Item

Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Seller Inventory # wbs8633653145

Bibliographic Details

• Title: Guide to Microsoft Excel for Scientists and Engineers
• Publisher: Butterworth-Heinemann Ltd
• Publication Date: 2000
• Language: English
• ISBN 10: 0750650575
• ISBN 13: 9780750650571
• Binding: Soft cover
• Edition: 2nd Edition
• Condition: Very Good
• Weight: 540 grams

About this title

Synopsis

Microsoft Excel has a wide range of scientific functions that the average user would never encounter, let alone utilise, and students keen to use Excel to analyse 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 a clear 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, Bernard Liengme has also included new material on functions, statistics and the 'Solver' tool, as well as completely rewritten the section on charts. In addition, he has focused on: formulas; charts; curve-fitting; equation solving; integration; macros; statistical functions; logic functions; databases; macros. This new edition of an already indispensable guide is one that no scientist or engineer can afford to be without.

The best introductory book on Excel aimed specifically at scientists and engineers. * Covers the latest versions of Excel, including Excel 2000. * Incorporates changes due to feedback from readers * Contains extra functions and statistics.

About the Author

Bernard Liengme attended Imperial College in London and received a BSc & PhD in Chemistry. He also received post-docs at Carnegie-Mellon University in Pittsburg and the University of British Columbia. He has conducted extensive reseach in surface chemistry and Mossbauer Effect. He has been at St Francis Xavier University in Canada since 1968 as professor, Associate Dean and Registrar as well as teaching chemistry and computer science.