A Guide To Microsoft Excel 2007 For Scientists And Engineers
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A Guide to Microsoft Excel 2007 for Scientists and Engineers by Bernard V. Liengme Pdf
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.
A Guide to Microsoft Excel 2013 for Scientists and Engineers by Bernard Liengme Pdf
Completely updated guide for students, scientists and engineers who want to use Microsoft Excel 2013 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. Content written specifically for the requirements of science and engineering students and professionals working with Microsoft Excel, brought fully up to date with the new Microsoft Office release of Excel 2013. Features of Excel 2013 are illustrated through a wide variety of examples based in technical contexts, demonstrating the use of the program for analysis and presentation of experimental results. New to this edition: The Backstage is introduced (a new Office 2013 feature); all the ‘external’ operations like Save, Print etc. are now in one place The chapter on charting is totally revised and updated – Excel 2013 differs greatly from earlier versions Includes many new end-of-chapter problems Most chapters have been edited to improve readability
A Guide to Microsoft Excel 2007 for Scientists and Engineers by Bernard Liengme Pdf
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. Content written specifically for the requirements of science and engineering students and professionals working with Microsoft Excel, brought fully up to date with the new Microsoft Office release of Excel 2007. Features of Excel 2007 are illustrated through a wide variety of examples based in technical contexts, demonstrating the use of the program for analysis and presentation of experimental results. Updated with new examples, problem sets, and applications.
A Guide to Microsoft Excel for Scientists and Engineers by Bernard V. Liengme Pdf
This work gives scientific and engineering students an introduction to the use of excel for the analysis and presentation of experimental results. It also discusses some of the more advanced functions, such as modelling.
Excel for Scientists and Engineers by E. Joseph Billo Pdf
Learn to fully harness the power of Microsoft Excel(r) to perform scientific and engineering calculations With this text as your guide, you can significantly enhance Microsoft Excel's(r) 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(r) 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.
Liengme's Guide to Excel 2016 for Scientists and Engineers by Bernard Liengme,Keith Hekman Pdf
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.
What Every Engineer Should Know About Excel by J. P. Holman,Blake K. Holman Pdf
With the many software packages available today, it's easy to overlook the computational and graphics capabilities offered by Microsoft® ExcelTM. The software is nearly ubiquitous and understanding its capabilities is an enormous benefit to engineers in almost any field and at all levels of experience. What Every Engineer Should Know About Excel offers in nine self-contained chapters a practical guide to the features and functions that can be used, for example, to solve equations and systems of equations, build charts and graphs, create line drawings, and perform optimizations. The author uses examples and screenshots to walk you through the steps and build a strong understanding of the material. With this book, you will learn how to... Set up the keyboard for direct entry of most math and Greek symbols Build a default scatter graph that is applicable to most simple presentations with little cosmetic modification Apply many types of formats to adjust the cosmetics of graphs Use 3D surface and area charts for data and functional representations, with associated cosmetic adjustments Correlate data with various types of functional relations Use line drawing tools to construct simple schematics or other diagrams Solve linear and nonlinear sets of equations using multiple methods Curve student grades using Excel probability functions Model device performance using different types of regression analysis involving multiple variables Manipulate Excel financial functions Calculate retirement accumulation with variable contribution rate and retirement payouts to match increases in inflation Apply Excel methods for optimization problems with both linear and nonlinear relations Use pivot tables to manipulate both experimental data and analytical relationships Calculate experimental uncertainties using Excel And much more!
Excel 2007 for Scientists and Engineers by Dr. Gerard Verschuuren Pdf
With examples from the world of science and engineering, this reference teaches scientists how to create graphs, analyze statistics and regressions, and plot and organize scientific data. Physicists and engineers can learn the tips and techniques of Excel—and tailor them specifically to their experiments, designs, and research. They will learn when to use NORMDIST vs NORMSDist and CONFIDENCE vs Z, how to keep data-validation lists on a hidden worksheet, use pivot tables to chart frequency distribution, generate random samples with various characteristics, and much more. Ideal for students and professionals alike, this handbook will enable greater productivity and efficiency.
Reviews from the First Edition: "Excel® for Chemists should be part ofany academic library offering courses and programs in chemistry.There is no other book on the market that deals so thoroughly withthe application of Excel for analyzing chemical data. Highlyrecommended, for upper-division undergraduates throughprofessionals." -Choice "I highly recommend this book; treat yourself to it; assign itto a class; give it as a gift." -The Nucleus Chemists across all subdisciplines use Excel to record data intabular form, but few have learned to take full advantage of thescientific calculating power within this program. Excel is capableof helping chemists process, analyze, and present scientific data,from the relatively simple to the highly complex.Excel® for Chemists, Second Edition has beenrevised and updated, not only to take into account the changes thatwere made in Excel, but also to incorporate an abundance of newexamples. Arranged in a user-friendly format, this book containsillustrations and examples of chemical applications, useful "Howto" boxes outlining how to accomplish complex tasks in Excel, andstep-by-step instructions for programming Excel to automaterepetitive data-processing tasks. In addition, tips are provided tospeed, simplify, and improve your use of Excel. Included is aCD-ROM, usable in either Macintosh or IBM/Windows environments withmany helpful spreadsheet templates, macros, and other tools. Entirely new chapters contained in this Second Editionfeature: Array formulas covered in depth in a separate chapter, alongwith a comprehensive review of using arrays in VBA How to create a worksheet with controls, such as optionbuttons, check boxes, or a list box An extensive list of shortcut keys-over 250 for Macintosh orPC-is provided in the appendix Whether as a text for students or as a reference for chemicalprofessionals in industry, academia, or government,Excel® for Chemists, Second Edition providesa valuable resource for using Excel to manage various chemicalcalculations.
Excel 2007 for Scientists and Engineers by Geert M. N. Verschuuren Pdf
Provides information and examples for scientists and engineers on the features and functions of Excel 2007, covering such topics as data analysis, plotting data, regression analysis, and statistical analysis.
