Friday, January 27th, 2017

Distinguished Visiting Professor Talk: Ralf Schmidt 2/2 @ 4 pm in Olin 372

Title: The multiplicity one theorem for paramodular forms. Abstract: Classical modular forms are known to have the “strong multiplicity one” property: A cuspidal eigenform is determined by almost all of its Hecke eigenvalues. Siegel modular forms, on the other hand, do not have this nice property. The main theorem presented in this talk states that strong multiplicity one still holds for an important class of Siegel modular forms known as “paramodular forms”. The latter have gained prominence because of their appearance in the “paramodular conjecture”, a degree-2 version of Shimura-Taniyama-Weil.

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Friday, January 27th, 2017

Distinguished Visiting Professor Talk: Ralf Schmidt 1/31 @ 4 pm in Olin 372

Title: What is Number Theory? Abstract: In its original meaning, Number Theory is concerned with the properties of the “natural” numbers 1, 2, 3, … In this talk we will attempt to explain how the consequent study of “elementary” properties of numbers leads naturally to the theory of automorphic forms and the vast web of conjectures known as the “Langlands program”.

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Monday, November 7th, 2016

Student Talk Series: Sharon Garthwaite 11/10 @ noon in Olin 268

Title:  1+2+3+4+… = -1/12 Abstract: Infinite series. Every Calculus II student hates them; every mathematician loves them. So, why do mathematicians love infinite series? Well, ask one, and you’ll never hear the end of it… (just sum math humor). We’ll see how two standard examples of series, the geometric series and the zeta function (p-series), lead to beautiful applications, such as in economics and signal processing. We’ll also see how even divergent series are fascinating.

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Tuesday, October 25th, 2016

DVP Talk: Mark Meyer, 11/1 @ 4 pm

Title:  Wavelet-based Probit Functional Models Abstract:  Recent advances in functional regression include the development of a wide range of function-on-scalar regression models where outcome is a function of time regressed onto a set of scalar covariates. Most of these methodologies require the outcome to be normally distributed. However, very little work has been done on the case where the outcome is categorical. In this talk, we will discuss a flexible Bayesian procedure for function-on-scalar regression for categorical functional outcomes of varying levels. Simulations and data examples will be presented to illustrate the methodology.

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Friday, October 21st, 2016

Student Talk Series: Mark Meyer 10/27 @ noon in Olin 268

Title:  Losing Altitude: A story of airplanes, heart rate, and one “controversial” dataset Abstract: When you ride in an airplane, the lowered pressure in the cabin causes your blood oxygen levels to decrease. If oxygen saturation levels go low enough, you may experience some interesting side effects (like temporary color blindness, for example), that much we know. What we don’t know is if there is also an impact on the functioning of the heart. Partially motivated by a rash of flight related medical case studies, a study was conducted in 2007 to more formally assess the effects of exposure to altitude […]

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Thursday, October 6th, 2016

DVP Talk: Lina Sanchez Leal, 10/5 @ 4 pm

Title:  Investigating students’ engagement and motivation in Mathematics Class Abstract: The National Council of Teachers of Mathematics’ Principles to Actions: Ensuring Mathematical Success for All requires that students be able to understand the material, justify responses, and determine when, how, and why a mathematical statement or rule should be used. In order to accomplish this, students need to be meaningfully motivated and engaged in learning the mathematics. Often times we characterize engagement along a continuum ranging from disengaged to highly engage. However, such characterizations may be misleading, and in some cases, counterproductive. During this session, we will explore some of the different ways […]

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Friday, September 23rd, 2016

Student Talk Series: Charles Wessell, 9/29 @ noon in Olin 268

Title:  Electoral College Math:  How to Become President with 20% of the Popular Vote Abstract: The Electoral College makes it possible to become U. S. President with less than a majority of the popular vote. In a two-candidate election, what is the minimal percentage of the popular vote possible for a winning candidate? In this talk we’ll first mimic an approach suggested by George Pólya that to find a theoretical solution. We’ll then make use of of tools not readily available to Pólya – spreadsheets and binary linear integer problem software — to see if we can improve on his […]

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Friday, September 9th, 2016

Student Talk Series: Brian King, 9/15 @ noon in Olin 268

Title:  Sequential data mining Abstract:  Data representing DNA, proteins, literature, weather, and the stock market all share one common characteristic: their data are sequential. Sequence data present some of the most challenging problems for machine learning and data mining methods. In this talk, Professor Brian King will present a generalized, probabilistic framework for modeling sequential data. He will show how he and his students have adapted this model for classification and prediction tasks, reporting results from recent studies.

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Monday, August 29th, 2016

Student Talk Series: Karl Voss, 9/1 @ noon in Olin 268

  Title:  Being fair in a world of limited resources Abstract:  Fair division is a problem that all of us encounter regularly.  Every time you and another person or several people have to divide something – pizza, money, space, Neapolitan ice cream, band width, candy, etc. – you are working on a fair-division problem.  How can several people share a limited resource and make sure that no person feels the resulting allocation is unfair?   Before we can answer this question, we need to figure out what exactly is means to be ‘fair’.  The mathematical development of this subject is fairly […]

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Tuesday, April 19th, 2016

Student Talk Series: Alia Stanciu, April 21st @ noon in Olin 268

Title:  From airlines to healthcare: scheduling services with high variability Abstract:  What do the airline and healthcare industries have in common when it comes to managing their capacity? What makes scheduling surgeries so much more difficult than an airline’s management of its seat inventory? How can hospitals improve their surgical scheduling system? While most optimization models suffer from the curse of dimensionality, simulation-based optimization is often a better choice when dealing with demand that is highly variable. Drawing from revenue management techniques developed by the airline industry, I will show how simulation modeling can help hospitals to more efficiently schedule surgical […]

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