Dehipawala, S., & Armendariz, R., & Tremberger, G., & Cheung, T. (2017, October), Extraction of information and facts from data mining of random sequences for undergraduate research  Paper presented at 2017 Mid-Atlantic Section Fall Conference, Penn State University - Berks Campus - Reading, Pennsylvania. 10.18260/1-2--29377

\bibitem{asee_peer_29377}
  Dehipawala, S., \& Armendariz, R., \& Tremberger, G., \& Cheung, T. (2017, October), \emph{Extraction of information and facts from data mining of random sequences for undergraduate research}
  Paper presented at 2017 Mid-Atlantic Section Fall Conference, Penn State University - Berks Campus - Reading, Pennsylvania.
  10.18260/1-2--29377

sunil Dehipawala, Raul Armendariz, George Tremberger Jr, and Tak Cheung.  "Extraction of information and facts from data mining of random sequences for undergraduate research".  2017 Mid-Atlantic Section Fall Conference, Penn State University - Berks Campus - Reading, Pennsylvania, 2017, October.  ASEE Conferences, 2017.  https://peer.asee.org/29377 Internet.  22 Apr, 2024

\bibitem{asee_peer_29377}
  sunil Dehipawala, Raul Armendariz, George Tremberger Jr, and Tak Cheung.
  "Extraction of information and facts from data mining of random sequences for undergraduate research".
  \emph{2017 Mid-Atlantic Section Fall Conference, Penn State University - Berks Campus - Reading, Pennsylvania, 2017, October}.
  ASEE Conferences, 2017.
  https://peer.asee.org/29377 Internet.  22 Apr, 2024

@INPROCEEDINGS{asee_peer_29377
author = "sunil Dehipawala, Raul Armendariz, George Tremberger Jr, and Tak Cheung"
title = "Extraction of information and facts from data mining of random sequences for undergraduate research"
booktitle = "2017 Mid-Atlantic Section Fall Conference"
year = "2017"
month = "October"
address = "Penn State University - Berks Campus - Reading, Pennsylvania"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/29377}
number = {10.18260/1-2--29377}
}

TY  - CPAPER
AB  - A general method to extract information and facts from data mining of random sequences in biology and astronomy has been developed.  The random sequence analysis has been implemented in several NSF-REU projects using NIH and NASA databases.  Examples of RNA sequence with reference to Shannon-entropy based bioinformatics and SDO magnetic topology analysis with reference to solar physics are presented.  The contrast to Brookhaven Synchrotron and high energy physics data analysis is also discussed.  The feedback of administrating REU projects to our physics teaching for engineering students was found to be valuable and the examples of magnetic reconnection and geomagnetic induced current are presented.  Therefore community college REU project provides connectedness awareness in the linking of previous published reports, critical thinking in result interpretation, and career development when going onto a senior college REU program, the top three benefits of college education, according to a 2016 July Money Magazine ”Value of College” survey.
AU  - sunil Dehipawala
AU  - Raul Armendariz
AU  - George Tremberger Jr
AU  - Tak Cheung
CY  - Penn State University - Berks Campus - Reading, Pennsylvania
DA  - 2017/10/06
PB  - ASEE Conferences
TI  - Extraction of information and facts from data mining of random sequences for undergraduate research
UR  - https://peer.asee.org/29377
DO  - 10.18260/1-2--29377
ER  -