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Engineering with Excel cover

Engineering with Excel

by Ronald W. Larsen

5th Edition

Publisher: Pearson

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Engineering

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Book Details

Print ISBN9780134589664
eText ISBN9780134588506
PublisherPearson
Publishing Year2017
Edition5th Edition
LanguageEnglish
Pages720

Engineering with Excel, 5th Edition is a textbook that introduces Microsoft Excel 2016 on Windows 10 for technical problem solving. It shows how spreadsheet tools can be organized to carry out calculations across engineering disciplines.

The volume establishes a foundation in computational mathematics by exploring graphing, matrix manipulation, regression models, and statistical analysis. It also guides students through iterative solutions, financial decision-making, and custom programming using Visual Basic for Applications (VBA).

Published by Pearson for courses in Introduction to Engineering and Computer Methods for Engineers, this 2017 edition explains how to apply spreadsheet methods to practical engineering tasks and share data with external applications.

Table of Contents

  1. Chapter 1: Introduction to Excel

    • • 1.1 Introduction
    • • 1.2 What’s New in Excel 2016?
    • • 1.3 A Little Windows®
    • • 1.4 Excel Basics
    • • 1.5 Organizing Your Worksheets
    • • 1.6 Printing the Worksheet
    • • 1.7 Saving and Opening Workbooks, Exiting Excel
  2. Chapter 2: Using Excel’s Ribbon

    • • 2.1 Navigating the Ribbon
    • • 2.2 Using the Clipboard Group
    • • 2.3 Using the Font Group
    • • 2.4 Using the Alignment Group
    • • 2.5 Formatting Numbers
    • • 2.6 Using the Styles Group
    • • 2.7 Inserting, Deleting, and Formatting Rows and Columns
  3. Chapter 3: Graphing with Excel

    • • 3.1 Introduction
    • • 3.2 Getting Ready to Graph
    • • 3.3 Creating an Xy Scatter Graph
    • • 3.4 Editing an Existing Graph
    • • 3.5 Printing the Graph
    • • 3.6 Other Types of Graphs
    • • 3.7 Graphing Web Data
    • • 3.8 Importing Text Files 161
  4. Chapter 4: Excel Functions

    • • 4.1 Introduction to Excel Functions
    • • 4.2 Excel’s Built-in Functions
    • • 4.3 Using the Convert Function to Convert Units
    • • 4.4 Simple Math Functions
    • • 4.5 Computing Sums
    • • 4.6 Trigonometric Functions
    • • 4.7 Advanced Math Functions
    • • 4.8 Error Function
    • • 4.9 Bessel Functions
    • • 4.10 Working with Complex Numbers
    • • 4.11 Working with Binary, Octal, and Hexadecimal Values
    • • 4.12 Miscellaneous Functions
  5. Chapter 5: Matrix Operations in Excel

    • • 5.1 Introduction
    • • 5.2 Matrices, Vectors, and Arrays
    • • 5.3 How Excel Handles Matrix Math
    • • 5.4 Basic Matrix Operations
    • • 5.5 Solving Systems of Linear Equations
  6. Chapter 6: Linear Regression in Excel

    • • 6.1 Introduction
    • • 6.2 Linear Regression Using Excel Functions
    • • 6.3 Linear Regression Using Excel’s Trendlines
    • • 6.4 Other Two-Coefficient Linear Regression Models
    • • 6.5 Polynomial Regression
    • • 6.6 Linear Regression Using Excel’s Regression Analysis Package
  7. Chapter 7: Excel’s Statistics Functions

    • • 7. Overview
    • • 7.2 Populations and Samples
    • • 7.3 Standard Deviations and Variances
    • • 7.4 Errors, Deviations, and Distributions
    • • 7.5 Confidence Intervals
  8. Chapter 8: Excel’s Financial Functions

    • • 8.1 Time, Money, and Cash Flows
    • • 8.2 Interest Rates and Compounding
    • • 8.3 Moving Amounts Through Time
    • • 8.4 Net Present Value
    • • 8.5 Internal Rate of Return
    • • 8.6 Economic Alternatives: Making Decisions
    • • 8.7 Depreciation of Assets
  9. Chapter 9: Iterative Solutions Using Excel

    • • 9.1 Introduction
    • • 9.2 Iterative Solutions
    • • 9.3 Using a Plot to Search for Roots
    • • 9.4 Simple “Guess and Check” Iteration
    • • 9.5 Direct Substitution Technique
    • • 9.6 Using Goal Seek in Excel
    • • 9.7 Introduction to Excel’s Solver
    • • 9.8 Optimization Using the Solver
    • • 9.9 Nonlinear Regression
    • • 9.10 Linear Programming
  10. Chapter 10: Sharing Excel Information with Other Programs

    • • 10.1 Introduction to Sharing Excel Information with other Programs
    • • 10.2 Using Copy and Paste to Move Information
    • • 10.3 Embedded and Linked Objects
    • • 10.4 External Data Sources
  11. Chapter 11: Excel Pivot Tables

    • • 11.1 Introduction
    • • 11.2 Preparing to Create a Pivot Table
    • • 11.3 A Basic Pivot Table
    • • 11.4 Sorting and Filtering a Pivot Table
    • • 11.5 Pivoting the Pivot Table
    • • 11.6 What Can Be Done with a Pivot Table?
    • • 11.7 Pivot Charts
  12. Chapter 12: Macros and User-Written Functions for Excel

    • • 12.1 Introduction
    • • 12.2 Macros and Viruses
    • • 12.3 Recorded Macros
    • • 12.4 Programmed Macros (Vba)
  13. Chapter 13: User-Written Functions for Excel

    • • 13.1 Introduction
    • • 13.2 Macro-Enabled Worksheets
    • • 13.3 Introduction to Visual Basic for Applications (Vba)
    • • 13.4 Writing Your Own Function
    • • 13.5 Using Your Functions in Other Workbooks
    • • 13.6 Examples of User-Written Functions
  14. Chapter 14: Programming in Excel with VBA

    • • 14.1 Introduction
    • • 14.2 Virus Protection and Macro-Enabled Workbooks
    • • 14.3 Visual Basic for Applications (VBA)
    • • 14.4 Projects, Forms, and Modules
    • • 14.5 Flowcharts
    • • 14.6 Fundamental Elements of Programming
    • • 14.7 Working with Forms
  15. Chapter 15: Numerical Differentiation Using Excel

    • • 15.1 Introduction
    • • 15.2 Finite Differences
    • • 15.3 Filtering Data
    • • 15.4 Curve Fitting and Differentiation
  16. Chapter 16: Numerical Integration Using Excel

    • • 16.1 Introduction
    • • 16.2 Integrating for Area Under a Curve
    • • 16.3 Integrating for Area Between Two Curves
    • • 16.4 Numerical Integration Methods
    • • 16.5 Using Regression Equations for Integration
  17. Chapter 17: Numerical Integration Techniques for Differential Equations Using Excel

    • • 17.1 Introduction
    • • 17.2 Euler’s Method
    • • 17.3 Fourth-Order Runge—Kutta Method
    • • 17.4 Integrating Two Simultaneous Odes by Using the Runge—Kutta Method
    • • 17.5 Implicit Integration Methods

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  • Engineering with Excel by Ronald W. Larsen
  • Engineering with Excel by Ronald Larsen | Paperback - Biblio

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