Spatial interpolation of atmospheric pollutants using Kriging Thursday, January 25, 12:00 p.m. Room 268 in the Olin Science Building. Abstract: Have you ever wondered how meteorologists produce prediction maps of temperature and rainfall volume across large geographic regions? They surely can’t monitor temperature and rainfall in every neighborhood across the country, yet there is a prediction available for any location. This challenge of estimating a spatial process at unsampled locations based on known (sampled) values of the process at neighboring sites is called spatial interpolation, and has a number of applications in geosciences and elsewhere: atmospheric scientists estimate concentrations of […]
From Academia to Data Science, One Woman’s Journey Getting into data science seems to be a unique path for each data scientist. This talk will chronicle the path Dr. Mandi Traud took from graduate school in North Carolina to Data Science Lead at Tuple Health and President of Data Community DC. She will talk about her data science projects all along the way and how she moved from academia to working for a company and volunteering in the data science community.
Panelists: Trevor Adriaanse ’17 Math, Analyst, Department of Defense Jeff Miller ’17 ECMA, Analyst, Axtria – Ingenious Insights Jin On ’12, Math, Data Scientist, Geneia Laura Papili ’17 Math, Actuarial Analyst at Willis Towers Watson Hear advice and perspectives from Bucknell alumni who will examine career paths that utilize the mathematics degree while discussing their work and available opportunities. The conversation will include a question and answer period. 12:00 P.M. Olin 268, Panel with PIZZA/CALZONES 4:00 PM OLIN 383 And an informal MEET and GREET with the panel (refeshments)
Quantum Games and Quantum Computing Thursday, October 19, 12:00 P.M. ROOM 268 in the Olin Science Building Abstract: What’s the shortest message you can send someone? It might seem like the answer is a single bit: a 0 or a 1. But the world is much stranger than that! We can also send quantum bits (or qubits) that can be 0 or 1 or “both” 0 and 1 at the same time. These quantum messages have surprising power for computing and sending information. I’ll talk about how we can better understand these strange quantum messages by studying games that use […]
Leonardo of Pisa (a.k.a Fibonacci) has a remarkable connection with Bucknell, and to celebrate this fact we are holding an interdisciplinary conference on October 14. Featured speakers include: Mario Livio – an astrophysicist and author of popular science books, Keith Devlin – NPR’s “Math Guy” and the author of numerous popular mathematics books, William Goetzmann – Director of the International Center for Finance, Yale University This event will be in the Langone Center from 10:00 a.m. until 2:30 p.m. Lunch tickets are available in Olin 380, or by writing to email@example.com Learn more here.
A special panel discussion featuring: Maddie Brown `18 – NSF REU in mathematical analysis and applications at University of Michigan – Dearborn. Caroline Edelman `18 – REU in dynamical systems at Boston College Nate Mattis `19 – TEU program at Brown University Alexander Murph `18 – Nielsen Professional Summer Analytics Experience (PSAE) Leo Orozco `18 – Summer Security Intensive, IT Lab Fellow at Carnegie Mellon University Pizza and sodas for everyone!
Title: Efficiency Of Non-Compliance Chargeback Mechanisms In Retail Supply Chains Abstract: In practice, suppliers fill retailers’ purchase orders to the fill-rate targets to avoid the non-compliance financial penalty, or chargeback, in the presence of service level agreement. Two chargeback mechanisms – flat-fee and linear – have been proven to effectively coordinate the supply chain in a single-period setting. However, the mechanisms’ efficiency, the incurred penalty costs necessary to coordinate the supply chain, have not been studied yet. Since retailers are often accused of treating chargeback as an additional source of revenue, this study compares the expected penalties resulted from the […]
Title: What Do You Mean, It’s Hard? Abstract: Suppose someone gives you a computer and asks you to perform one of the following tasks: solve a 17 × 17 × 17 Rubik’s cube, or decide if a given list of 100 integers can be broken into two parts having equal sums. If your life depended on it, which task would you choose? Which is harder, computationally? In 1971, Stephen Cook proposed a strong measure of efficiency – polynomial time, or simply P – as a desirable standard to which we should hold solutions to computational problems. Task A is an instance […]
Professor Nema Dean from the University of Glasgow will be visiting our department August 19 – September 1. On Tuesday August 22 she will give a faculty colloquium on “A general introduction to modelling areal spatial data” at 4:00 in Olin 372.
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