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a8-building-applications

annotation-tools

Tools for type annotations in Java

azure-cosmosdb-js-server

The JavaScript SDK for server-side programming in Azure Cosmos DB

checker-framework

Pluggable type-checking for Java

crimes-in-the-city-of-boston

github-practice

A repo for practicing the basics of using git and GitHub

intellij-community

IntelliJ IDEA Community Edition

intro_to_r

Guest lecture for Mike Freeman's Intro to R class at the University of Washington Information School, March 4th 2016

l2_r_skills

lecture-10-exercises

Exercises for lecture 10: RMarkdown

lecture-11-exercises

Exercises for lecture 11: making maps with Plotly

lecture-12-exercises

Lecture 12 exercises: Plotly practice

lecture-14-exercises

Exercises for lecture 14: Introduction to shiny

lecture-15-exercises

Interactive Shiny Applications

lecture-16-exercises

Simulations in R

lecture-6-exercises

Exercises for lecture 6: lists and dataframes

lecture-8-exercises

Exercises for lecture 8: grouped operations and joins with dplyr

lecture-9-exercises

Exercises for lecture 9: APIs

math126

Math 126 course materials

somecoolteamname

stability-spectrum-for-pdes

An important property for solutions of differential equations is stability. Stability is important in physical applications because it determines whether or not a solution may be seen in the real world. If a solution is unstable, small perturbations of the system will fore the system away from the solution. If a solution is stable, the system will return to that solution after small perturbations. To determine whether or not a solution is stable, one linearizes the differential equation and examines the spectrum of the resulting linear operator. The geometry of the spectrum reveals stability properties, but is typically very difficult to find analytically. The spectral problem may be truncated to a matrix eigenvalue problem. Once the matrix is formed, we use computers to find the eigenvalues and plot them to understand the geometry of the spectrum. In this project, students will be given a partial differential equation (PDE) and class of traveling wave solution to that equation. This class of solutions typically has various parameters that may take a continuum of values in some fixed region of space. From a given solution, students will use the above described method to compute the spectrum using a computer. If there is time, the solution parameter space can be examined to determine regions where the spectrum has qualitatively different shapes. If there is still time, students may look at transition regions by altering their program to allow for dynamic solution parameter changes. In doing this, interesting movies and an applet can be created.