Document Type
Conference Paper
Publication Date
3-2015
Publication Source
26th International Conference on College Teaching and Learning
Abstract
People are facing a flood of data today. Data are being collected at unprecedented scale in many areas, such as networking, image processing, virtualization, scientific computation, and algorithms. The huge data nowadays are called Big Data. Big data is an all encompassing term for any collection of data sets so large and complex that it becomes difficult to process them using traditional data processing applications. In this article, the authors present a unique way which uses network simulator and tools of image processing to train students abilities to learn, analyze, manipulate, and apply Big Data. Thus they develop students hands-on abilities on Big Data and their critical thinking abilities. The authors used novel image based rendering algorithm with user intervention to generate realistic 3D virtual world. The learning outcomes are significant.
Inclusive pages
255-267
ISBN/ISSN
2333-391X
Document Version
Published Version
Copyright
Copyright © 2015 Florida State College at Jacksonville
Publisher
Florida State College at Jacksonville
Place of Publication
Jacksonville, FL
Peer Reviewed
yes
eCommons Citation
Yang, Jianjun and Shen, Ju, "Leading Undergraduate Students to Big Data Generation" (2015). Computer Science Faculty Publications. 48.
https://ecommons.udayton.edu/cps_fac_pub/48
Included in
Databases and Information Systems Commons, Graphics and Human Computer Interfaces Commons, Information Security Commons, Numerical Analysis and Scientific Computing Commons, OS and Networks Commons, Other Computer Sciences Commons, Programming Languages and Compilers Commons, Software Engineering Commons, Systems Architecture Commons, Theory and Algorithms Commons
Comments
This document is provided for download with the permission of the publisher. Permission documentation is on file.