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  • 2017.12_dtw

    Rights statement: ©2017 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

    Accepted author manuscript, 166 KB, PDF document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

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Navigating Diverse Data Science Learning: Critical Reflections Towards Future Practice

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Navigating Diverse Data Science Learning: Critical Reflections Towards Future Practice. / Elkhatib, Yehia.
Cloud Computing Technology and Science (CloudCom), 2017 IEEE International Conference on. IEEE, 2017. p. 357-362.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Elkhatib, Y 2017, Navigating Diverse Data Science Learning: Critical Reflections Towards Future Practice. in Cloud Computing Technology and Science (CloudCom), 2017 IEEE International Conference on. IEEE, pp. 357-362. https://doi.org/10.1109/CloudCom.2017.58

APA

Elkhatib, Y. (2017). Navigating Diverse Data Science Learning: Critical Reflections Towards Future Practice. In Cloud Computing Technology and Science (CloudCom), 2017 IEEE International Conference on (pp. 357-362). IEEE. https://doi.org/10.1109/CloudCom.2017.58

Vancouver

Elkhatib Y. Navigating Diverse Data Science Learning: Critical Reflections Towards Future Practice. In Cloud Computing Technology and Science (CloudCom), 2017 IEEE International Conference on. IEEE. 2017. p. 357-362 doi: 10.1109/CloudCom.2017.58

Author

Elkhatib, Yehia. / Navigating Diverse Data Science Learning : Critical Reflections Towards Future Practice. Cloud Computing Technology and Science (CloudCom), 2017 IEEE International Conference on. IEEE, 2017. pp. 357-362

Bibtex

@inproceedings{65edffbfcba448f8991e0af701f9d09a,
title = "Navigating Diverse Data Science Learning: Critical Reflections Towards Future Practice",
abstract = "Data Science is currently a popular field of science attracting expertise from very diverse backgrounds. Current learning practices need to acknowledge this and adapt to it. This paper summarises some experiences relating to such learning approaches from teaching a postgraduate Data Science module, and draws some learned lessons that are of relevance to others teaching Data Science.",
keywords = "data science, Teaching and Learning, diversity",
author = "Yehia Elkhatib",
note = "{\textcopyright}2017 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2017",
month = dec,
day = "11",
doi = "10.1109/CloudCom.2017.58",
language = "English",
isbn = "9781538606933",
pages = "357--362",
booktitle = "Cloud Computing Technology and Science (CloudCom), 2017 IEEE International Conference on",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Navigating Diverse Data Science Learning

T2 - Critical Reflections Towards Future Practice

AU - Elkhatib, Yehia

N1 - ©2017 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2017/12/11

Y1 - 2017/12/11

N2 - Data Science is currently a popular field of science attracting expertise from very diverse backgrounds. Current learning practices need to acknowledge this and adapt to it. This paper summarises some experiences relating to such learning approaches from teaching a postgraduate Data Science module, and draws some learned lessons that are of relevance to others teaching Data Science.

AB - Data Science is currently a popular field of science attracting expertise from very diverse backgrounds. Current learning practices need to acknowledge this and adapt to it. This paper summarises some experiences relating to such learning approaches from teaching a postgraduate Data Science module, and draws some learned lessons that are of relevance to others teaching Data Science.

KW - data science

KW - Teaching and Learning

KW - diversity

U2 - 10.1109/CloudCom.2017.58

DO - 10.1109/CloudCom.2017.58

M3 - Conference contribution/Paper

SN - 9781538606933

SP - 357

EP - 362

BT - Cloud Computing Technology and Science (CloudCom), 2017 IEEE International Conference on

PB - IEEE

ER -