Misha Teplitskiy, Knowledge Lab
January 21, 2015
Searle 240

Statistical Learning with Python and Pandas
 

Joshua Elliott, RDCEP & Funmi Olopade, UChicago Medicine
January 21, 2015
Searle 240 and Webcast

Funmi Olopade - Using Whole Genome Sequencing and Parallel Computing to Understand the Genetic Architecture of Breast Cancer in Sub-Saharan Africa

Ross King, University of Manchester
January 20, 2015
University of Chicago, Searle 240A

Abstract: All existing computers have a fixed constant speed.  I present a new computational paradigm in which the computer’s speed increases exponential as it solves a problem.  The theory of computer science is based around Universal Turing Machines (UTMs).  Every UTM can compute every computable function, and every modern digital computer is in essence a UTM.  The NP time complexity class is the most significant class of problems in computer science, and a tractable/efficient (polynomial) way to solve them would be of great economic and social importance.  Nondeterminist

Carolyn L. Kane, PhD, Brown University
January 15, 2015
201 Screening Room, Logan Center for the Arts

Presented by Arts, Science & Culture Initiative and Computation Institute 

Simon Jacobs, Research Programmer, Research Computing Center
January 14, 2015
Kathleen A. Zar Room, John Crerar Library

The Research Computing Center (RCC) is a centralized service that provides high-end computing and visualization resources to researchers at the University. This presentation will discuss RCC services and provide information on how to get computing and storage resources on RCC’s computing infrastructure.