Calculus through Data & Modelling: Techniques of Integration
Key Takeaways
Applies techniques of integration for multivariable functions using calculus and data modeling
Original Description
In this course, we build on previously defined notions of the integral of a single-variable function over an interval. Now, we will extend our understanding of integrals to work with functions of more than one variable. First, we will learn how to integrate a real-valued multivariable function over different regions in the plane. Then, we will introduce vector functions, which assigns a point to a vector. This will prepare us for our final course in the specialization on vector calculus. Finally, we will introduce techniques to approximate definite integrals when working with discrete data and through a peer reviewed project on, apply these techniques real world problems.
AI explanation not available for this lesson yet
This lesson is still being prepared for the AI tutor. In the meantime, explore lessons that are ready.
Browse explainer-ready lessons →
Related Reads
📰
📰
📰
📰
TypeScript Covariance and Contravariance Without the Theory: A Practical Guide to Generic Type…
Medium · Programming
Lord of the Algebras: Groups, Rings, and Semirings in C#
Medium · Programming
On the Navier–Stokes Millennium Prize Problem
OpenAI News
How Did Archimedes Calculate Pi Without Measuring It
Medium · Programming
🎓
Tutor Explanation
DeepCamp AI