IMAGEMath is an ongoing collaborative effort to create a suite of application-based modules to inspire the development of advanced mathematical concepts, increase student involvement in classroom activities, and increase retention rates in STEM fields. This project was initially funded by NSF.

### IMAGEMath will be at JMM 2019!

We will be presenting some of our materials at JMM 2019. For mincourse materials and a brief description of the minicourse go to the

**Minicourse Page**.

What is noise in an image? How do we detect it, and how can we use tools from analysis to remove noise?

Given a series of pictures from a CAT scan, how can we mathematically reconstruct the original (3d) object?

What happens to the temperature of a heated object over time? Can we predict how fast the cooling will occur?

How does a tsunami wave travel? When will it hit land? Can we model the wave front with a differential equation?

This material is based upon work supported by the National Science Foundation under grants DUE-1503929, DUE-1642095, DUE-1503870, and DUE-1503856.

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.