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Modeling Scenario

1-081-TumorGrowth-ModelingScenario

Author(s): Randy Boucher, Ryan Miller

Keywords: logistic population tumor Gompertz

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Abstract

Resource Image Students will transform, solve, and interpret a tumor growth scenario using non-linear differential equation models. Two population growth models (Gompertz and logistic) are applied to model tumor growth.

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Description

Students use technology to solve the Gompertz model and answer a series of questions designed to further their understanding of growth models and to refine their ability to analyze and compare mathematical models.

This is an INDIVIDUAL assignment. Your primary submission is a hard copy report that should not exceed three (3) pages. To support your primary report, you should include annotated and referenced appendices.

You should include any additional supporting graphs, equations, and computations in the appendices. If you think that your code is important, you may include it in an appendix, but you should ensure that it includes annotations describing what you are doing. If you think a computation or equation is important for the reader, then ensure it is in the report or appendices.

Ensure all work is logical, neat, and organized. Properly document any sources or assistance you receive. Doing the mathematics correctly is important, but it is also critical to be able to analyze and effectively communicate your mathematical results, as well as reflect on the relevance of your results in the real world.

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Authors

Author(s): Randy Boucher, Ryan Miller

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