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Calculus through Data & Modelling: Integration Applications
Coursera MOOC / Non-credit 0

Calculus through Data & Modelling: Integration Applications

About this course

This course continues your study of calculus by focusing on the applications of integration. The applications in this section have many common features. First, each is an example of a quantity that is computed by evaluating a definite integral. Second, the formula for that application is derived from Riemann sums. Rather than measure rates of change as we did with differential calculus, the definite integral allows us to measure the accumulation of a quantity over some interval of input values. This notion of accumulation can be applied to different quantities, including money, populations, weight, area, volume, and air pollutants. The concepts in this course apply to many other disciplines outside of traditional mathematics. We will expand the notion of the average value of a data set to allow for infinite values, develop the formula for arclength and curvature, and derive formulas for velocity, acceleration, and areas between curves. Through examples and projects, we will apply the tools of this course to analyze and model real world data.

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90/100

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39/45
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35/35
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16/20

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What you'll learn

  • understand the applications of definite integrals
  • derive formulas for area and volume
  • apply integration to model real-world data
  • calculate average values for data sets

Course objectives

  • expand understanding of the average value and its applications
  • develop formulas for arclength and curvature
  • apply integration to various fields
Data Analysis #data modeling #integration #velocity #definite integrals #riemann sums #average value #arclength #curvature #acceleration #area calculation
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