Kristin Kurianski

Kristin Kurianski is a Digital Learning Postdoctoral Fellow in the MIT math department. She earned her Ph.D. in mathematics from MIT in 2019, with specialization in dispersive partial differential equations and hydrodynamic quantum analogs.

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Differential Equations: Fourier Series and Partial Differential Equations (edX)

Mar 22nd 2023
Differential Equations: Fourier Series and Partial Differential Equations (edX)
Course Auditing
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Learn to use Fourier series to solve differential equations with periodic input signals and to solve boundary value problems involving the heat equation and wave equation. Differential equations are the mathematical language we use to describe the world around us. Many phenomena are not modeled by differential equations, but [...]

Introduction to Differential Equations (edX)

This course is archived
Introduction to Differential Equations (edX)
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Scientists and engineers understand the world through differential equations. You can too. Differential equations are the language of the models we use to describe the world around us. In this mathematics course, we will explore temperature, spring systems, circuits, population growth, and biological cell motion to illustrate how differential [...]
This course is archived
Course Auditing
94.00 EUR