In October, I worked with Robin Warner, Eeman Saud, and Charlotte Cain in a 36 hour competition in modeling called HiMCM. We had to choose between two problems, and we chose the one based on batteries. We needed to determine which batteries would be the most cost-efficient to power the solar panels on a house. This problem was very open-ended since it did not give specifics about the house or solar panels, so we chose it based on its room for creativity. To tackle this problem, we split into two groups. Robin and I focused on creating a user-based model to determine the continuous and instantaneous energy usage based on average kilowatt hour per appliance in a household based on the square footage, and Charlotte and Eeman used this to determine the best battery combination to support this energy need. Our detailed write-up of this solution goes into this more in-depth.

We also use a program called Mathematica to create solutions to problems and present them in a document. One problem had a football team at Pythagoras High School that was selling season passes to their games, and based on survey data we had to determine the best price for a pass that would bring the team the most revenue.