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Challenges and Accomplishments of the Computational Science Undergraduate Research Experiences Program

Published: 17 July 2016 Publication History

Abstract

The Computational Science for Undergraduate Research Experiences (CSURE) is an NSF funded Research Experiences for Undergraduates (REU) program organized by the University of Tennessee's Joint Institute for Computational Sciences (JICS), www.jics.utk.edu/csure-reu. The main goal of the CSURE project is to direct a group of undergraduate students to explore the emergent computational science models and techniques using the supercomputers at the National Institute for Computational Sciences (NICS). In addition, a number of summer interns from Hong Kong also participate in the program. The CSURE program focuses on five different scientific domains: chemistry and material sciences, systems biology, engineering mechanics, atmospheric sciences, and parallel solvers on emergent platforms. The program also enjoys a close affiliation with researchers at the Oak Ridge National Laboratory. Because of these diverse topics of research areas and backgrounds of this project, in this paper we discuss the challenges and resolutions in managing and coordinating the program, delivering cohesive tutorial materials, directing mentorship of individual projects, and lessons learned in the duration of the program.

References

[1]
CSURE: www.jics.utk.edu/csure-reu
[2]
http://reu.uncc.edu/cise-reu-toolkit/results-cise-reu-toolkit
[3]
Computational Science for Undergraduate Research Experience, 2013-15 internal reports: http://www.jics.utk.edu/csure-reu/csure13/project, http://www.jics.utk.edu/cure-reu/csure-14/project, http://www.jics.utk.edu/csure-reu/csure15/project

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XSEDE16: Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale
July 2016
405 pages
ISBN:9781450347556
DOI:10.1145/2949550
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 July 2016

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Author Tags

  1. Computational Science
  2. Educational Outreach
  3. Research Experiences for Undergraduates

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  • Research-article
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XSEDE16

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Overall Acceptance Rate 129 of 190 submissions, 68%

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