skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: A pilot “big data” education modular curriculum for engineering graduate education: Development and implementation

Abstract

Engineering higher education increasingly produces data in the volume, variety, velocity, and need for veracity such that the output of the research is considered “Big Data”. While engineering faculty members do conceive of and direct the research producing this data, there may be gaps in faculty members’ knowledge in training graduate and undergraduate research assistants in the management of Big Data. The project described herein details the development of a Big Data education module for a group of graduate researchers and undergraduate research assistants in Electrical and Computer Engineering. This project has the following objectives: to document and describe current data management practices; to identify gaps in knowledge that need to be addressed in order for research assistants to successfully manage Big Data; and to create curricular interventions to address these gaps. This paper details the motivation, relevant literature, research methodology, curricular intervention, and pilot presentation of the module. Results indicate that, generally, students involved in Big Data projects need comprehensive introduction to the topic, which will be most effective when contextualized to the work that they are performing in the research or classroom environment.

Authors:
;
Publication Date:
Research Org.:
Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (SC-21)
OSTI Identifier:
1474068
Report Number(s):
BNL-209086-2018-COPA
DOE Contract Number:  
SC0012704
Resource Type:
Conference
Resource Relation:
Conference: IEEE Conference of Frontiers in Education, Indianapolis, IN, 10/17/2017 - 10/22/2017
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; Big Data; curriculum development

Citation Formats

Sapp Nelson, Megan, and Pouchard, Line. A pilot “big data” education modular curriculum for engineering graduate education: Development and implementation. United States: N. p., 2017. Web.
Sapp Nelson, Megan, & Pouchard, Line. A pilot “big data” education modular curriculum for engineering graduate education: Development and implementation. United States.
Sapp Nelson, Megan, and Pouchard, Line. Tue . "A pilot “big data” education modular curriculum for engineering graduate education: Development and implementation". United States. https://www.osti.gov/servlets/purl/1474068.
@article{osti_1474068,
title = {A pilot “big data” education modular curriculum for engineering graduate education: Development and implementation},
author = {Sapp Nelson, Megan and Pouchard, Line},
abstractNote = {Engineering higher education increasingly produces data in the volume, variety, velocity, and need for veracity such that the output of the research is considered “Big Data”. While engineering faculty members do conceive of and direct the research producing this data, there may be gaps in faculty members’ knowledge in training graduate and undergraduate research assistants in the management of Big Data. The project described herein details the development of a Big Data education module for a group of graduate researchers and undergraduate research assistants in Electrical and Computer Engineering. This project has the following objectives: to document and describe current data management practices; to identify gaps in knowledge that need to be addressed in order for research assistants to successfully manage Big Data; and to create curricular interventions to address these gaps. This paper details the motivation, relevant literature, research methodology, curricular intervention, and pilot presentation of the module. Results indicate that, generally, students involved in Big Data projects need comprehensive introduction to the topic, which will be most effective when contextualized to the work that they are performing in the research or classroom environment.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {10}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share: