About

Computational research begins with an observation of a natural occurrence, then transitions to developing a model which mathematically describes that occurrence, to using advanced computing techniques to solve that model, then generating, verifying, and validating the data against observational data, and repeating the cycle: building and expanding, solving, generating, verifying and validating. The end goal is to build a system, accurately representing a scientific process, which you can run “what if” scenarios against when a real world experiment is not attainable.

It starts with a simple scientific process, using simple probability to get a “person” sick. Then expand that simple process into a computational model to simulate a disease propagating through a set population. Students will be broken into teams and given a set of challenges, requiring the teams to update and expand their computational models to meet.

Presenters


Charlie Dey [] [] [] []
Texas Advanced Computing Center
Je'aime Powell [] [] [] []
Texas Advanced Computing Center