CAM Research Projects Available to Students
For an updated list of CAM Research Projects or questions reguarding the program, please email Dr. Magda Stolarska: email@example.com.
Abstract: Interested in math teaching or tutoring? This project will look at best tutoring practices, tutoring philosophies and how to best conduct peer tutor trainings. We will research best practices in peer tutoring and teaching mathematics and use this research to create tutoring videos, PowerPoints, and worksheets to be used in training future MaRC tutors.
Background: MATH 200 - Multivariable calculus. Preference will be given to Mathematics Education Majors.
Advisor: Kenichi Okamoto
Abstract: Conservation decisions rely on a risk-assessment tool known as population viability analysis. Briefly, this analysis aims to characterize the likelihood that a given species will go extinct in a certain number of years. These analyses were traditionally developed using queueing theory and Poisson process models to characterize births and deaths in a population. However, conservation biologists are increasingly looking to inject greater biological realism into these analyses. For example, biologists use deterministic mathematical models to characterize the growth of individual organisms. These physiologically-structured models allow us to link resource (e.g., food, nesting space, etc...) scarcity to weight gain, survival and reproduction in individual organisms. While deterministic versions of these models can be scaled to the population level using partial differential equations, scaling these models to populations in a stochastic fashion has proven challenging. Recently, I developed an open-source computational library (https://github.com/kewok/spegg) that should let us surmount this difficulty. The student will look to apply this framework to develop and implement stochastic models linking individual growth to population persistence. We will be using a high-performance computing platform using graphics processing units (also used in cryptocurrency mining). We will consider as our case study Caiman crocodilus apaporiensis, a highly endangered subspecies of South American alligators.
Background: Probability and/or Statistics course, an interest in learning mathematical programming. This project will start in the summer, but preference will be given to students who are also willing to put in a few hours a week in the 2018-2019 academic year.
Advisor: Mike Axtell
Abstract: Summer research students will receive actual claims data from a local insurance company. Claims data will be analyzed in hopes of discovering exploitable patterns that will allow actuaries to predict which claims will prove most difficult to close. The research team will work with a retired consulting actuary and will present their results to upper-level management at the local insurance company.
Course Work Required: MATH 114 and some knowledge of Excel desired.