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