Spreadsheets: A Tool for Thinking with Numbers-Module 1: Using Formulas and Functions
1.1 Objectives and a Little Spreadsheet History
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1.2 Navigating a spreadsheet and crafting formulas
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1.3 Using functions
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1.4 Using conditional expressions in formulas
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1.5 Common errors in spreadsheets
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1.6 Differences between Sheets and Excel
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PDF of Module 1 Lecture Slides
Module 1 examples
From Spreadsheet to Model-Module 2: What-if Analysis, Sensitivity Analysis, Scenarios, and Cash Flow
2.0 Module Introduction
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2.1 Using assumptions and decision variables in spreadsheet models
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2.2 Structuring a spreadsheet to model variables, objectives, and objective functions
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2.3 Constructing simple cashflow model
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2.4 What-if analysis and sensitivity analysis
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2.5 Limits to simple, deterministic models
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PDF of Module 2 Lecture Slides
Module 2 examples
Addressing Uncertainty and Probability in Models-Module 3: Modeling Risk and Making Predictions
3.0 Introduction
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3.1 Random variables and probability distributions
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3.2 Changes in discrete and continuous time
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3.3 Power, exponential, and log functions
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3.4 Probability trees and decision trees
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3.5 Correlation and Regression
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PDF of Module 3 Lecture Slides
Module 3 examples
Additional reading on exponential and other functions
Simulation and Optimization-Module 4: Monte Carlo Simulations, Linear Programming and Solver
4.0 Introduction
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4.1 Monte Carlo Simulations
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4.2 Linear Programming
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4.3 Next Steps, and Differences between Excel and Sheets
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PDF of Module 4 Lecture Slides
Module 4 examples
Links and other resources for further study
Module 1 Examples-le_K0evgEeWRoxJsPwi2vQ.xlsx
(24 KB)
Module 2 examples-0rXdOux5EeWvxwoUoc-vPQ.xlsx
(555 KB)
Module 3 examples(1)-1_JvVgMIEeaaqg5MSeYjIQ.xlsx
(51 KB)
Module 4 examples(1)-P8F57xUrEeayZhIaUH000Q.xlsx
(57 KB)