Mount Math Madness is a student friendly competition meant to inspire students to challenge themselves with finding solutions to complex math problems....Read More...
Natural Science and Mathematics Blog
The COMAP math modeling competition is an important international competition in which students have a weekend to try to solve a tricky real-life problem. For this year's problem, the students were asked about Ebola. Specifically, they were told to suppose that a cure had been developed for Ebola, and they had to determine a way to get the cure where it needed to go in order to most efficiently stop the disease. They had to consider a ton of different variables, like how the disease spreads, where to and how to send the medicine where it needs to go, how fast the medicine could be produced, etc.
Students Joe Appleton and Carmen Morales were the first presenters and explained the use of a SIR Model. This acronym was used to describe the different stages of the virus as being susceptible, infectious, and recovery. Rooshan Matih, the second presenter, used a clever “candy demonstration” to explain this model further and to show how a disease spreads exponentially through a population, starting with 1 person, and growing to infect 2, then 4, then 8, 16 , etc. Both presenters agreed that knowledge and awareness was the best way to overcome Ebola.
Don’t forget about your chance to win a $75 dollar gift card to Amazon! Above are the questions for Week 2 of Mount Math Madness. Remember to send in your solutions to email@example.com. This can be also viewed via Facebook: https://www.facebook.com/mmmpow
During the summer of 2012 at St. Mary's College of Maryland, Michelle Rose C'15 and a group of three other undergraduate students researched existing work on dominating sets to create their own algorithm to find minimally double dominating sets. The algorithms were created to handle different types of graphs and to be self-stabilizing, in order to reduce the need for external interference. To make the idea of double dominating sets more applicable to the modern world, the group decided to tie their research to the zombie apocalypse. Zombies and national guard squadrons correspond to nodes out of and in the set, respectively. Therefore, in the event of a zombie apocalypse, the algorithm can be applied to the intersections of streets in order to determine where to place squadrons to contain the zombie mobs and how to use them most efficiently.