Effectively Cultivating Undergraduate Ability of Information Management and Information System Specialty in the Context of Big Data
- DOI
- 10.2991/icsser-18.2018.42How to use a DOI?
- Keywords
- Big data; Computer courses curriculum; Information management and information system specialty; Curriculum introduction; Experimentation arrange
- Abstract
Data science has become an important direction of management science. The wide application of big data analysis in business brought new challenges to the information management and information system specialty. According to training program of our college, this paper describes a curricular framework of computer science and data science. It considers the professional skills training of information management and information specialty, and also considers the cultivation ability of programming language of big data and data analysis. The courses divide into two threads in accordance with computer thread and big data thread. The former focuses on the computer theory and operation abilities. The latter emphasizes programming and data analysis science of data science. The paper also introduced several effective pedagogical methods that combine with big data. Experimentation is an important ability cultivating mean, which train students a high level of application ability. So this paper introduces experimentation arrangement.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Hejie Chen AU - Lidaishan Yu PY - 2018/10 DA - 2018/10 TI - Effectively Cultivating Undergraduate Ability of Information Management and Information System Specialty in the Context of Big Data BT - Proceedings of the 2018 International Conference on Social Science and Education Reform (ICSSER 2018) PB - Atlantis Press SP - 180 EP - 183 SN - 2352-5398 UR - https://doi.org/10.2991/icsser-18.2018.42 DO - 10.2991/icsser-18.2018.42 ID - Chen2018/10 ER -