ENGAGING IN STEM EDUCATION WITH BIG DATA ANALYTICS AND TECHNOLOGIES: A ROWAN-COVE INITIATIVE
ENGAGING IN STEM EDUCATION WITH BIG DATA ANALYTICS AND TECHNOLOGIES: A ROWAN-COVE INITIATIVE
批准号:
1610911
负责人:
Nidhal Bouaynaya
金额:
$29.99万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-10-01 至 2021-09-30
中文摘要
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英文摘要
Large amounts of data have become available across fields in science, industry, government, healthcare and pharmaceuticals. Big data analytics and technologies hold tremendous promise to boost economic productivity, enhance national security and improve the quality of life. Recognizing the acute need for big data technology, the aim of this proposal is to create a national model by developing multi-year curricular material that allows course content in separate classes to be naturally inter-connected. In collaboration with industry (Lockheed Martin Inc. and HP Enterprise), this project designs a series of laboratory experiments in big data analytics and technologies that become more complex from the freshmen to the senior year. The proposed approach will cut across artificial course boundaries and introduce fundamental, contemporary and multidisciplinary big data concepts through a series of problem-oriented laboratory experiments. Students will also gain a better knowledge of policy, ethical, and societal impact issues of big data.The collaboration with Palmyra Cove Education Foundation will bring big data activities to K-12 and further evaluate the educational impact and increase related dissemination efforts. The activities run at Cove will excite K-12 students about engineering and enhance teacher expertise in mathematics, science and technology. Palmyra Cove will reach out to local underrepresented K-12 school districts targeting women and minorities. The Foundation will also organize a workshop for undergraduate students, university faculty and K-12 students and teachers on big data as applied to environmental engineering and the geosciences. The results will be disseminated through technical and educational conferences and journal articles.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
DOI:
10.3389/fncom.2019.00044
发表时间:
2019-07-12
期刊:
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
影响因子:
3.2
作者:
[Cahall, Daniel E., Rasool, Ghulam, Fathallah-Shaykh, Hassan M.]
通讯作者:
Fathallah-Shaykh, Hassan M.
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