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Polynomial and Logistic Differentiation using Global Wind Energy Production Data


As a high school or undergraduate Mathematics teacher, you can use this set of computer-based tools to help you in teaching introductory differential calculus and specifically about polynomial and logistic differentiation and the use of the Quotient (or Product) Rule.

This lesson plan will allow you to teach polynomial and logistic differentiation using a hands-on computer-based classroom activity that includes wind energy production data of several countries from 1980 to 2016. In the context of global warming due to carbon emissions from fossil fuel, harnessing a clean renewable source of energy like wind power is increasing across the globe and can provide a potential solution to reducing our greenhouse gas emissions.

This activity includes a set of inquiry-based questions that will enable your students to apply their understanding of polynomial and logistic differentiation and apply the Quotient (or Product) Rule to describe the rates of increase of wind energy production over time in countries such as China, Spain, USA, and the World

Learning Outcome

The tools in this lesson plan will enable students to:

  1. Learn about polynomial and logistic differentiation, and the use of the Quotient or Product Rule.
  2. Describe the rules for differentiating functions.
  3. Apply differentiating functions to compare the rates of increase of wind energy production by several countries (from given datasets).
  4. Discuss the importance of increase of renewable sources of energy such as wind power to reduce global warming.

Mapped Sustainable Development Goal(s), apart from 4 and 13


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