Learning objectives
When we model real-world contexts we can use the modeling cycle:
Situations that require modeling are often broad and complex. There may be multiple ways to solve the problems and multiple solutions to the problems. Before we can determine a path to a solution, we often need to clarify the problem that needs to be solved.
To clarify the problem, we need to do the following:
Restate the problem to clarify what the model intends to measure, predict, and/or solve
Identify questions that need to be considered prior to answering the given problem
List factors that will affect the outcome
Research information needed to answer the problem
State assumptions
By making assumptions, you are narrowing the focus of the problem you are trying to solve and thus, simplifying the process for solving the problem.
For example, if you are asked to identify the best noise-canceling headphones on the market today, you will need to make assumptions about what the word "best" refers to. You may make an assumption that "best" refers to the clarity of the sound produced and the level of outside noise that can be heard. Someone else may assume it refers to the value for money in terms of sound quality, price, durability, and/or battery life. Various assumptions lead to different but valid outcomes.
Design a model for a roller coaster that contains at least 3 peaks.
Identify the important factors that need to be considered when answering this question.
List assumptions that need to be made.
State a recommended plan for solving the problem, including any research that needs to be done to further clarify the problem.
What does it cost to feed a family in the United States?
Brainstorm a list of questions that can be answered to help solve this problem.
Research and determine how a model can be used to solve the problem.
A modeling problem is often open-ended with many unknowns. Our job is to research and brainstorm the problem, determine how a model can solve the problem, and make necessary assumptions to support our model.