Engineering with Excel

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Edition: 5th
Format: Paperback
Pub. Date: 2017-01-05
Publisher(s): Pearson
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Summary

For courses in Introduction to Engineering and Computer Methods for Engineers.

 

Gives Students A Foundation In Excel Functions For Various Engineering Purposes

Engineering With Excel , 5th Edition introduces students to all of the functions and ways to use Microsoft’s Excel 2016 on Windows 10, the most up-to-date version of the program. The text gives students an understanding of the many ways Excel can be used for engineering purposes. Chapters on graphing, matrix operations, linear regressions and statistics give students a foundation in computational math, while sections on using excel for finance and extending it to other computer programs helps students apply Excel to their broader lives. Finally, students will learn to write their own excel functions.

Author Biography

Ronald W. Larsen, Ph.D., P.E., is the Department Head of the Chemical and Biological Engineering Department at Montana State University.

Table of Contents

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. 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. 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

 

iv Contents

 

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. 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. 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 • 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. 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. 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. 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. 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. 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. 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. 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. Numerical Differentiation Using Excel

 

15.1 Introduction

 

15.2 Finite Differences

 

15.3 Filtering Data

 

15.4 Curve Fitting and Differentiation

 

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. 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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