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Author: S. C. Bloch
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 308
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Book Description
In this basic introduction, the author aims to help engineers and scientists to understand and use Excel in their fields. The book is interactive and designed to be used in conjunction with a computer, to provide a hands-on learning experience.
Author: S. C. Bloch
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 308
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Book Description
In this basic introduction, the author aims to help engineers and scientists to understand and use Excel in their fields. The book is interactive and designed to be used in conjunction with a computer, to provide a hands-on learning experience.
Author: Gordon Filby
Publisher: Springer Science & Business Media
ISBN: 3642802494
Category : Science
Languages : en
Pages : 306
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Book Description
"Spreadsheets in Science and Engineering" shows scientists and engineers at all levels how to analyze, validate and calculate data and how the analytical and graphic capabilities of spreadsheet programs (ExcelR) can solve these tasks in their daily work. The examples on the CD-ROM accompanying the book include material of undergraduate to current research level in disciplines ranging from chemistry and chemical engineering to molecular biology and geology.
Author: Bernard Liengme
Publisher: Academic Press
ISBN: 0128182504
Category : Computers
Languages : en
Pages : 416
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Book 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. - Content written specifically for the requirements of science and engineering students and professionals working with Microsoft Excel, brought fully up to date with Microsoft Office release of Excel 2016. - Features of Excel 2016 are illustrated through a wide variety of examples based on technical contexts, demonstrating the use of the program for analysis and presentation of experimental results. - Where appropriate, demonstrates the differences between the PC and Mac versions of Excel. - Includes many new end-of-chapter problems at varying levels of difficulty.
Author: E. Joseph Billo
Publisher: John Wiley & Sons
ISBN: 0470126701
Category : Computers
Languages : en
Pages : 480
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Book Description
Learn to fully harness the power of Microsoft Excel® to perform scientific and engineering calculations With this text as your guide, you can significantly enhance Microsoft Excel's® capabilities to execute the calculations needed to solve a variety of chemical, biochemical, physical, engineering, biological, and medicinal problems. The text begins with two chapters that introduce you to Excel's Visual Basic for Applications (VBA) programming language, which allows you to expand Excel's® capabilities, although you can still use the text without learning VBA. Following the author's step-by-step instructions, here are just a few of the calculations you learn to perform: Use worksheet functions to work with matrices Find roots of equations and solve systems of simultaneous equations Solve ordinary differential equations and partial differential equations Perform linear and non-linear regression Use random numbers and the Monte Carlo method This text is loaded with examples ranging from very basic to highly sophisticated solutions. More than 100 end-of-chapter problems help you test and put your knowledge to practice solving real-world problems. Answers and explanatory notes for most of the problems are provided in an appendix. The CD-ROM that accompanies this text provides several useful features: All the spreadsheets, charts, and VBA code needed to perform the examples from the text Solutions to most of the end-of-chapter problems An add-in workbook with more than twenty custom functions This text does not require any background in programming, so it is suitable for both undergraduate and graduate courses. Moreover, practitioners in science and engineering will find that this guide saves hours of time by enabling them to perform most of their calculations with one familiar spreadsheet package
Author: David M Bourg
Publisher: "O'Reilly Media, Inc."
ISBN: 059655317X
Category : Computers
Languages : en
Pages : 445
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Book Description
Given the improved analytical capabilities of Excel, scientists and engineers everywhere are using it--instead of FORTRAN--to solve problems. And why not? Excel is installed on millions of computers, features a rich set of built-in analyses tools, and includes an integrated Visual Basic for Applications (VBA) programming language. No wonder it's today's computing tool of choice. Chances are you already use Excel to perform some fairly routine calculations. Now the Excel Scientific and Engineering Cookbook shows you how to leverage Excel to perform more complex calculations, too, calculations that once fell in the domain of specialized tools. It does so by putting a smorgasbord of data analysis techniques right at your fingertips. The book shows how to perform these useful tasks and others: Use Excel and VBA in general Import data from a variety of sources Analyze data Perform calculations Visualize the results for interpretation and presentation Use Excel to solve specific science and engineering problems Wherever possible, the Excel Scientific and Engineering Cookbook draws on real-world examples from a range of scientific disciplines such as biology, chemistry, and physics. This way, you'll be better prepared to solve the problems you face in your everyday scientific or engineering tasks. High on practicality and low on theory, this quick, look-up reference provides instant solutions, or "recipes," to problems both basic and advanced. And like other books in O'Reilly's popular Cookbook format, each recipe also includes a discussion on how and why it works. As a result, you can take comfort in knowing that complete, practical answers are a mere page-flip away.
Author: Bernard V. Liengme
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages : 326
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Book Description
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.
Author: William J. Orvis
Publisher: Sybex
ISBN:
Category : Engineering
Languages : en
Pages : 584
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Book Description
Excel for Scientists and Engineers is an essential sourcebook for implementing advanced numerical methods supplied in Excel for Windows 95 and Excel 5 for Windows 3.1 and Mac. Use Excel to perform all levels of numerical analysis. Each detailed example explains the numerical method used and how to implement it in Excel. You'll learn to prepare single-input and multi-input engineering tables, and create function calculators for painless "what-if" analysis; use Excel's built-in curve-fitting functions, from linear curve-fitting to linear regression, polynomial regression, and non-linear curve-fitting; employ popular integration functions, including the rectangle rule, the trapezoid rule, Simpson's rule, and Gaussian quadratures; use Excel's new distribution and statistical functions, plus Bessel, error, and delta functions; solve ordinary differential equations and partial differential equations by combining Excel's features in new ways; and create your own functions with Visual Basic for Applications.
Author: Robert De Levie
Publisher: Oxford University Press, USA
ISBN: 0195152751
Category : Computers
Languages : en
Pages : 631
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Book Description
This guide to Excel focuses on three areas--least squares, Fourier transformation, and digital simulation. It illustrates the techniques with detailed examples, many drawn from the scientific literature. It also includes and describes a number of sample macros and functions to facilitate common data analysis tasks. De Levie is affiliated with Bowdoin College. Annotation : 2004 Book News, Inc., Portland, OR (booknews.com).
Author: Byron S. Gottfried
Publisher: McGraw-Hill
ISBN: 9780071106634
Category : Electronic spreadsheets
Languages : en
Pages : 502
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Book Description
This best-selling Spreadsheet book provides excellent coverage of all versions of Excel including the latest version, Excel 2002. It discusses how to use Excel to solve a variety of problems in introductory engineering analysis, such as graphing data, unit conversions, simple statistical analysis, sorting, searching and analyzing data, curve fitting, interpolation, solving algebraic equations, logical decisions, evaluating integrals, comparing economic alternatives, and finding optimum solutions. Numerous examples are included illustrating both traditional and spreadsheet solutions to a variety of problems. The underlying mathematical solution procedures are also discussed, so that the reader is provided with an understanding of what the spreadsheet does and how it does it.
Author: Byron S. Gottfried
Publisher: McGraw-Hill Companies
ISBN: 9780071199766
Category : Technology & Engineering
Languages : en
Pages : 469
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Book Description
