@inproceedings{f666e8f31b7d402281e1dd73f008c0f9,
title = "The design of course architecture for big data",
abstract = "Big data is one of the hottest topic in not only academic but also enterprise, which provide grate requirements for the people with knowledge and experiences of big data. However, current education architecture of computer science could not provide sufficient training for big data. For the education for people suitable for big data era, we attempt to design a novel course architecture. Such course architecture will not change the skeleton of traditional course architecture of computer science but just add content and subjects that is adaptive for big data. In this paper, we discuss the goal, architecture and content of the course architecture.",
keywords = "Big data, Course architecture, Data science",
author = "Hongzhi Wang and Hong Gao and Shenjun Yin and Jie Zhu",
note = "Publisher Copyright: {\textcopyright} 2017 ACM.; 50th ACM Turing Conference - China, ACM TUR-C 2017 ; Conference date: 12-05-2017 Through 14-05-2017",
year = "2017",
month = may,
day = "12",
doi = "10.1145/3063955.3063968",
language = "英语",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery ",
booktitle = "Proceedings of the ACM Turing 50th Celebration Conference - China, ACM TUR-C 2017",
address = "美国",
}