Building a big data research program at a small university

  • Authors:
  • Thomas Carter;Peggy Hauselt;Melanie Martin;Megan Thomas

  • Affiliations:
  • California State University Stanislaus, One University Circle, Turlock, California;California State University Stanislaus, One University Circle, Turlock, California;California State University Stanislaus, One University Circle, Turlock, California;California State University Stanislaus, One University Circle, Turlock, California

  • Venue:
  • Journal of Computing Sciences in Colleges
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

In the 2010-2011 school year we received an Army High Performance Computing Research Center grant whose goal was increasing the number of Hispanic engineers with expertise in complex systems, simulations and large data sets. Our university is a medium-sized, public, Hispanic-serving institution; our department is small. Our goals were to improve the social support available to our Hispanic students, encourage them to complete their degrees, and give them a valid research experience to provide a basis for informed decisions about whether or not they want to go to graduate school. This paper will cover how we structured our program to accomplish our goals, including how we factored in results from prior research on minority student experiences. In the second year, we expanded our program to include geography and give a new cohort of students a multi-disciplinary experience. We will discuss how a small computer science department successfully built an undergraduate research program organized around the theme of large data sets, what we have accomplished so far and how we hope to continue.