Roma Forestiera: Migrant Music in Rome, followed by reception and screening of Matewan

Please, join us on Wednesday, March 2, 2016 for a very special event!  As a part of the Arts & Sciences Passport to the World, Year of Europe, the UK Appalachian Center welcomes Alessandro Portelli for a talk entitled Roma Forestiera: Migrant Music in Rome.  The talk will be held in the UKAA Auditorium in W. T. Young Library from 3:30 p.m. to 5 p.m.  This will be followed by a reception with light refreshments from 5 p.m. to 6 p.m. in the Alumni Gallery.  A screening of the film Matewan will be offered in the Auditorium from 6 p.m. to 9 p.m. with an introduction by Professor Portelli.  This event is free for UK Students, Faculty, and Staff.

 

Date:
-
Location:
UKAA Auditorium, W.T. Young Library
Tags/Keywords:
appalachia
appalachian center
alessandro portelli
Year of Europe
italy
Event Series:
Appalachian Center Events

Applied Math Seminar

Speaker: David, Murrugarra, UKY
Title: Estimating Propensity Parameters using Google PageRank and Genetic Algorithms
Abstract: Stochastic Boolean networks, or more generally stochastic discrete networks, are an important class of computational models for molecular interaction networks.
The stochasticity stems from the updating schedule. The standard updating schedules include the synchronous update, where all the nodes are updated at the same time
and gives a deterministic dynamic, and the asynchronous update, where a random node is updated at each time step that gives a stochastic dynamics.
A more general stochastic setting considers propensity parameters for updating each node.  SDDS is a modeling framework that considers two propensity values for updating each node, one when the update has a positive impact on the variable, that is, when the update causes the variable to increase its value, and the other when the update is negative, that is, when the update causes it to decrease its value. This extension adds a complexity in parameter estimation of the propensity parameters. This talk presents a method for estimating the propensity parameters for SDDS. The method is based on adding noise to the system using the Google PageRank approach to make the system ergodic and thus guaranteeing the existence of a stationary distribution and then with the use of a genetic algorithm the propensity parameters are estimated.
 
Date:
-
Location:
POT 745
Event Series:
Applied and Computational Mathematics Seminar

Theory Seminar: The Search for Missing Aircraft: A Mathematical Model to Aid in Search and Rescue Missions

In this informal talk, I present a mathematical model which was developed for the 2015 Mathematical Contest in Modeling. The model aims to help in planning an efficient search for a lost plane that may have crashed in open waters. This talk will be of particular interest to undergrads who hope to enter this year's contest, or are interested in mathematical modeling.

Date:
-
Location:
CP179
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