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Calculus through Data & Modelling: Integration Applications

Johns Hopkins University · View on Coursera ↗

Taught by Joseph W. Cutrone, PhD

Math and LogicData Science

Coursera
4.6
headline rating
Starisk
3.6
Padded
Small sample. Only 5 reviews were readable, so this score is a hint, not a verdict. Every other course page reads about 20 of the most-helpful reviews.

About the 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 val

The dissent

The most-upvoted critical review (no upvotes, 2.0★).

“Sadly, in this course the material was presented in such an oversimplified way and stripped of details that it was very difficult to develop an understanding of the concepts being presented. For instance, for curvature the instructor only gave us the formulas for computing it, but didn't say where they came from nor even gave us any intuitions behind them.”

2.0 / 5

Read the full review on Coursera ↗

Coursera's 4.6 comes from 29 ratings. Of those, 10.3% are 1–2★.

Starisk reads the reviews learners voted most helpful, and weights each by the square root of its votes: a review with 80 upvotes counts about five times one with 2. Unvoted reviews are not skipped out of laziness — by this model they carry no evidence that other students endorsed them.

That measures what the most-endorsed reviews say, not “true quality.” The rating distribution above is the whole population, so you can see the sample next to it.

Reviews read on 23 Oct 2026.Read them on Coursera ↗