@inproceedings{1fc564b2a19a4362ae8f2eacfb124db8,
title = "Panel: The Computing in Data Science",
abstract = "This panel brings the workings and results of the ACM Education Council Task Force on Data Science Education. The task force has gathered information on existing programs and has reviewed documents such as the result of the National Academies deliberations on data science. The task force is charged with exploring the role of computer science in data science education, understanding that data science is an inherently interdisciplinary field and not exclusively a computer science field. The panel will present a summary of the task force findings by two members of the task force and perspectives from leaders in data-intensive applications from China. The goal of the panel is to present the findings, but also to obtain perspectives from the attendees in order to enrich the task force's work.",
keywords = "Computing curriculum, Computing for data science, Data science",
author = "Lillian Cassel and Wang Hongzhi",
note = "Publisher Copyright: {\textcopyright} 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM.; 2019 ACM Global Computing Education Conference, CompEd 2019 ; Conference date: 17-05-2019 Through 19-05-2019",
year = "2019",
month = may,
day = "9",
doi = "10.1145/3300115.3312508",
language = "英语",
series = "CompEd 2019 - Proceedings of the ACM Conference on Global Computing Education",
publisher = "Association for Computing Machinery, Inc",
pages = "192--193",
booktitle = "CompEd 2019 - Proceedings of the ACM Conference on Global Computing Education",
}