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Events

Lauren Childs, Virginia Tech, Modeling the waning and boosting of immunity: A case study of pertussis in Sweden

Pertussis, commonly known as whooping cough, is caused by the bacterial pathogen Bordetella pertussis. Completely susceptible individuals experience severe disease, with the hallmark whooping cough, but those with partial immunity have milder, if any symptoms. Immunity following natural infection (or immunization) may wane, increasing susceptibility with time since exposure. In this talk, we begin by examining…

Lucas Castle, Developing Non-Calculus Service Courses that Showcase the Applicability of Mathematics

Students often take precalculus or college algebra as a terminal math course, leaving them with the impression that mathematics lacks real meaning. Due to the increasingly interdisciplinary nature of the mathematical sciences, we are well-poised to intervene and design inspiring general education courses that reveal the utility of mathematics. In this talk, I will share…

Ellie Dannenberg, An Introduction to Circle Packing

A circle packing is the mathematical name for a collection of circles. I am interested in circle packings with a fixed pattern of tangencies between the circles. Given a tangency pattern, one might ask questions like, "Can I find a circle packing with that tangency pattern?" and "How many such circle packings can I find?"…

Math Teachers’ Workshop: Visible Math

SAS 2102

For the schedule and program see https://trianglemtc.wordpress.com/visible-math-at-ncsu-febuary-1-2019-2/ Organized by Arvind Saibaba and Irina Kogan in collaboration with the Triangle Math Teachers' Circle.

Stepan Paul, Harvard, Isoptics, or how to design the perfect stadium

How could you design a stadium so that a rectangular playing field looks the same size to every spectator? What about for a circular wrestling ring? In this talk, we study these and related questions, which can all be viewed as generalizations of Thales' Theorem---that a line segment L in the plane "looks the same…

Guang Lin, Uncertainty Quantification and Scientific Machine Learning for Complex Engineering and Physical Systems

SAS 1102

Experience suggests that uncertainties often play an important role in quantifying the performance of complex systems. Therefore, uncertainty needs to be treated as a core element in the modeling, simulation, and optimization of complex systems. In this talk, I will first present a review of the novel UQ techniques I developed to conduct stochastic simulations…

Andrew Papanicolaou, NYU, Principal component analysis for implied volatility surfaces

Principal component analysis (PCA) is a useful tool when trying to uncover factor models from historical asset returns. For the implied volatilities of U.S. equities there is a PCA-based model with a principal eigenportfolio whose return time series lies close to that of an overarching market factor. Specifically, this market factor is the index resulting…

Valentine’s Day Cookie Contest by the MGSA

MGSA is holding its annual cookie contest! If you would like to be entered into the contest, we ask that you bring at least 2 dozen of your best cookies to the 4th floor lounge by 12:00pm on Friday. All math faculty, staff, and graduate students are invited to stop by to try some cookies…