The Unauthorized Guide to Using Spreadsheets in Chemical Engineering (Spreadsheet Techniques) Reference Page
- Video links go directly to the YouTube video.
- JTF (Just the Facts) videos are the streamlined versions: greenscreen LaTeX equations, clean graphics, minimal narrative. Think efficient and to the point. Each has a companion TFS video.
- TFS (The Full Story) videos include interviews, additional explanation, and equations written on whiteboards. Same math, more context, more personality. Each has a matching JTF version.
- Info Page links lead to definitions, expanded explanations, and related material—because sometimes you really do need to explain it.
- Visuals links contain the greenscreen or whiteboard materials used in the video, for those who like to see the scaffolding.
- Wondering about the titles? See Appendix B: If you have to explain it, it’s no longer funny.
- Videos marked This is NOT a DOFPro video were not produced by DOFPro but are included because they are relevant to the topic. They are shown in red so no one calls the academic integrity police.
Intro to Using Spreadsheets in Chemical Engineering
Spreadsheets are one of the most widely used computational tools in engineering practice. They allow engineers to organize data, perform calculations, explore parameter changes, and visualize results without writing full computer programs.
In chemical and thermal process engineering, spreadsheets are commonly used for:
- mass and energy balance calculations
- parameter estimation and regression
- uncertainty and error analysis
- solving nonlinear equations
- exploring the behavior of mathematical models
The videos in this section introduce spreadsheet techniques that support these types of engineering calculations.
How to Have a Quickie with Your Data — Part 1
This video introduces spreadsheet techniques for basic statistical analysis and data fitting, including calculating the mean, standard deviation, and performing linear least-squares regression.
How to Have a Quickie with Your Data — Part 2
This video extends the analysis techniques from Part 1 and demonstrates how spreadsheets can be used for nonlinear regression and parameter estimation.
Solving Nonlinear Equations with Spreadsheets
This video demonstrates how spreadsheet tools such as Goal Seek and iterative calculations can be used to solve nonlinear equations numerically.
Such methods are frequently used in engineering calculations when analytical solutions are not available.
Examples and Definitions
Example Links
Guide to Spreadsheets Template
Spreadsheet containing the problem setup from the Unauthorized Guide video.Guide to Spreadsheets Solutions
Completed solution spreadsheet.Data Fitting (Quickie) Template
Spreadsheet template for the data-fitting examples.Data Fitting (Quickie) Solutions
Completed spreadsheet solution.Nonlinear Roots Demo
Spreadsheet demonstrating numerical root-finding.
Definitions
- Spreadsheet
- A software tool that organizes data in a grid of rows and columns and allows calculations to be performed using formulas and functions.
- Cell
- The basic unit of a spreadsheet, identified by a column letter and row number (e.g., A1). A cell may contain data, text, or a formula.
- Reference
- A way of identifying a cell or group of cells used in a formula. References may be relative, absolute, or mixed.
- Function
-
A predefined calculation built into the spreadsheet software. Examples include
SUM,AVERAGE,IF, and lookup functions. - Drag-Fill
- A spreadsheet feature that allows users to copy formulas or extend patterns by dragging the fill handle across adjacent cells.
Other Links and Videos
Previous and Following Videos
Two videos back
Interpol Is Late to a Mind-Blowing Math Hack, Just the Facts
Linear Interpolation
Video
Info Page
Visuals
Previous video
No Clear Interpretation a Mind-Blowing Math Hack
Nonlinear Interpolation
Video
Info Page
Visuals
Next video
How Deviant and Mean Are Your Data? Intro and Basics Part 1, Just the Facts
Mean (\(\mu,\ \bar{x}\)) and Standard Deviation (\(\sigma,\ S\))
Video
Info Page
Visuals
Two videos forward
How Deviant and Mean Are Your Data? Part 2
Standard Error (\(S_{\bar{x}}\)) and Confidence Interval (\(2\lambda\))
Video
Info Page
Visuals