Hansen, R. A., & Wlodarczyk, T. W., & Hacker, T. J. (2014, June), A Collaborative, Multinational Cyberinfrastructure for Big Data Analytics  Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. 10.18260/1-2--19922

\bibitem{asee_peer_19922}
  Hansen, R. A., \& Wlodarczyk, T. W., \& Hacker, T. J. (2014, June), \emph{A Collaborative, Multinational Cyberinfrastructure for Big Data Analytics}
  Paper presented at 2014 ASEE Annual Conference \& Exposition, Indianapolis, Indiana.
  10.18260/1-2--19922

Raymond A. Hansen, Tomasz Wiktor Wlodarczyk, and Thomas J. Hacker.  "A Collaborative, Multinational Cyberinfrastructure for Big Data Analytics".  2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana, 2014, June.  ASEE Conferences, 2014.  https://peer.asee.org/19922 Internet.  19 Jan, 2025

\bibitem{asee_peer_19922}
  Raymond A. Hansen, Tomasz Wiktor Wlodarczyk, and Thomas J. Hacker.
  "A Collaborative, Multinational Cyberinfrastructure for Big Data Analytics".
  \emph{2014 ASEE Annual Conference \& Exposition, Indianapolis, Indiana, 2014, June}.
  ASEE Conferences, 2014.
  https://peer.asee.org/19922 Internet.  19 Jan, 2025

@INPROCEEDINGS{asee_peer_19922
author = "Raymond A. Hansen, Tomasz Wiktor Wlodarczyk, and Thomas J. Hacker"
title = "A Collaborative, Multinational Cyberinfrastructure for Big Data Analytics"
booktitle = "2014 ASEE Annual Conference \& Exposition"
year = "2014"
month = "June"
address = "Indianapolis, Indiana"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/19922}
number = {10.18260/1-2--19922}
}

TY  - CPAPER
AB  -                     A collaborative, multinational curriculum and                      cyberinfrastructure for big data analyticsThe emergence of Big Data and Data Intensive Systems as specialized fields in computing isdriving the need for the development of new courses and curricula. Additionally, the skills andknowledge from these specializations are needed to support analytics for many other disciplines,such as life sciences or the financial industry. This paper details the curriculum and supportingcyberinfrastructure for the graduate-level course developed and delivered between X Universityand Y University. This course was delivered in a synchronous manner between the twouniversities, with faculty from both universities delivering portions of the curriculum.We detail the pedagogy of each major curriculum topics and the mapping of those topics tocourse outcomes which potentially support the specialized computing areas. We frame thesecurricular topics with respect to the “four V’s of big data: volume, variety, velocity, andveracity.” By highlighting the complexities and challenges in each of these “V’s”, we are able topresent theory and praxis of the impact(s) different computing/network architectures andsolutions have for analytics. Additionally, we provide details and discussions on the hands-onassignments and laboratory projects that directly support the lecture topics.In order to detail the assignments and projects, we will also discuss the physical cyber-infrastructure environment used to provide students with direct hands-on learning of big dataanalytics. This environment is also used to provide demonstrations of the topics presented duringlectures. The platform includes Fedora 19, Hadoop, Java, Perl, and VMWare. In addition, thearchitecture of network access is discussed as students from both universities require secureaccess to the computing resources, as well as the need for securing the computing resources fromunauthorized access.Finally, we discuss our next steps and potential improvements, modifications, and directions forfuture course offerings.
AU  - Raymond A. Hansen
AU  - Tomasz Wiktor Wlodarczyk
AU  - Thomas J. Hacker
CY  - Indianapolis, Indiana
DA  - 2014/06/15
PB  - ASEE Conferences
TI  - A Collaborative, Multinational Cyberinfrastructure for Big Data Analytics
UR  - https://peer.asee.org/19922
DO  - 10.18260/1-2--19922
ER  -