How Math Predicts the Coronavirus Curve

Rated 5 out of 5 by from The simplicity, is in itself, mind-blowing! I especially like how this video breaks down complicated probability models into something simple enough to understand without taking a college-level Probability or Statistics course. This is especially important to understand the real-world application of math in predicting Expectant Value Outcomes to the layman or average Joe off the streets or high school students in our online classrooms. This is a terrific representation of mathematics in motion and how its application is, in itself, hugely significant in our everyday life. This video is a MUST-SEE for anyone even remotely interested in marrying math with real-world scenarios. I strongly recommend it to everyone!
Date published: 2020-10-17
Rated 5 out of 5 by from How timely and important. Excellent presentation, with striking display of algorithmic versus arithmetic growth.
Date published: 2020-10-02
  • y_2020, m_11, d_25, h_17
  • bvseo_bulk, prod_bvrr, vn_bulk_3.0.12
  • cp_1, bvpage1
  • co_hasreviews, tv_0, tr_2
  • loc_en_CA, sid_90067, prod, sort_[SortEntry(order=SUBMISSION_TIME, direction=DESCENDING)]
  • clientName_teachco
  • bvseo_sdk, p_sdk, 3.2.1
  • CLOUD, getReviews, 3.86ms
How Math Predicts the Coronavirus Curve
1: How Math Predicts the Coronavirus Curve

Professor David Kung introduces you to the way math can be used to predict the future. Starting with a simple model of change and then pulling in actual data from the coronavirus outbreak, he displays how to apply an exponential growth model—and how to account for real-world factors—to determine the likely rate of growth and number of potential cases, demonstrating how taking action quickly can be vital for saving lives.

16 min