Calculus through Data & Modelling
Vector Calculus
Integral Calculus through Data and Modeling,
This course continues your study of calculus by focusing on the applications of integration to vector valued functions, or vector fields. These are functions that assign vectors to points in space, allowing us to develop advanced theories to then apply to real-world problems. We define line integrals, which can be used to fund the work done by a vector field. We culminate this course with Green's Theorem, which describes the relationship between certain kinds of line integrals on closed paths and double integrals. In the discrete case, this theorem is called the Shoelace Theorem and allows us to measure the areas of polygons. We use this version of the theorem to develop more tools of data analysis through a peer reviewed project. Upon successful completion of this course, you have all the tools needed to master any advanced mathematics, computer science, or data science that builds off of the foundations of single or multivariable calculus.
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Rating | Not enough ratings |
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Length | 4 weeks |
Starts | Jun 26 (44 weeks ago) |
Cost | $49 |
From | Johns Hopkins University via Coursera |
Instructor | Joseph W. Cutrone, PhD |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Mathematics |
Tags | Data Science Data Analysis Math And Logic |
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Rating | Not enough ratings |
---|---|
Length | 4 weeks |
Starts | Jun 26 (44 weeks ago) |
Cost | $49 |
From | Johns Hopkins University via Coursera |
Instructor | Joseph W. Cutrone, PhD |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Mathematics |
Tags | Data Science Data Analysis Math And Logic |
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