Back to Calculus through Data & Modelling: Vector Calculus
Johns Hopkins University

Calculus through Data & Modelling: Vector Calculus

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.

Status: Physics
Status: Integral Calculus
IntermediateCourse5 hours

Featured reviews

AA

5.0Reviewed Mar 7, 2023

good conceptual coverage of underlying topicsthe instructor also was clear in the delivery of the content and the course progressed smoothlythe assignments were challenging but understandable

LS

4.0Reviewed Jan 23, 2025

Instruction became more rushed as the material became more complex and abstract.

TH

5.0Reviewed Apr 1, 2022

This is an excellent course to learn advanced calculus. Very well taught!

All reviews

Showing: 12 of 12

Nguyen Dinh Le
5.0
Reviewed Feb 14, 2021
Piotr Cieślik
3.0
Reviewed Mar 22, 2024
ADITYA LAKHOTIA STUDENT - AEROSPACE
5.0
Reviewed Mar 8, 2023
Tino van den Heuvel
5.0
Reviewed Apr 2, 2022
Kishwar Alamgir
5.0
Reviewed Jun 2, 2023
Carlos Héctor González Calderón Bernal
5.0
Reviewed Apr 6, 2021
Pragun Sawhney
5.0
Reviewed Nov 29, 2022
sekiro
5.0
Reviewed Jul 29, 2021
Kenneth James M. Arances
5.0
Reviewed Mar 12, 2025
Leith Sherwin
4.0
Reviewed Jan 24, 2025
Jihong Wu
3.0
Reviewed Jul 31, 2023
727824TUME044 SHYAM MADHAV S
1.0
Reviewed Apr 21, 2025