Targeted Infusion Project: Data Science eXtension (DSX): Incorporating data science fundamentals in computing curriculum at Spelman and Morehouse Colleges
Targeted Infusion Project: Data Science eXtension (DSX): Incorporating data science fundamentals in computing curriculum at Spelman and Morehouse Colleges
批准号:
1623362
负责人:
Brandeis Marshall
金额:
$39.99万
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:
2016-08-15 至 2020-07-31
中文摘要
历史上的黑人学院和大学本科生计划(HBCU-UP)通过有针对性的输液项目支持开发,实施和基于证据的创新模式和方法的研究,以提高HBCU本科生的准备和成功,使他们可以追求科学,技术,工程或数学(STEM)研究生课程和/或职业。Spelman学院和Morehouse学院的项目旨在通过与查尔斯顿学院的数据科学项目合作,为两所学院的教师和学生提供数据科学和大数据培训,以满足对熟练数据科学家的需求。这些活动和战略是以证据为基础的,形成性和总结性评估的强有力计划是项目的一部分。该项目的具体目标是:培训教师掌握数据科学原理,这些原理是计算基础的一部分,并融入现有课程,以展示数据科学原理;在两个机构的本科阶段开发和实施数据科学课程;并扩大对数据科学的认识,使本科阶段在该学科中代表性不足的学生为数据科学的研究生学习或公司职位做准备。两组10名教师将接受数据科学原则的培训,这些教师将为大约500名学生创建,注入和提供数据科学模块。
英文摘要
The Historically Black Colleges and Universities Undergraduate Program (HBCU-UP) through Targeted Infusion Projects supports the development, implementation, and study of evidence-based innovative models and approaches for improving the preparation and success of HBCU undergraduate students so that they may pursue science, technology, engineering or mathematics (STEM) graduate programs and/or careers. The project at Spelman College and Morehouse College seeks to address the need for skilled data scientists through data science and big data training for faculty and students at both colleges in partnership with the College of Charleston's Data Science program. The activities and strategies are evidence-based and a strong plan for formative and summative evaluation is part of the project.The project has the specific goals to: train faculty on data science principles that are part of computing fundamentals and infuse the existing curriculum to showcase the data science principles; develop and implement a data science curriculum at the undergraduate level at both institutions; and broaden awareness of data science to students underrepresented in the discipline at the undergraduate level in preparation of graduate studies or corporate positions in data science. Two groups of ten faculty will be trained in data science principles, and these faculty will create, infuse and deliver data science modules to about 500 of their students.
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专著(0)
科研奖励(0)
会议论文
TRIPOS+X:EDU: Collaborative Education: Data-Driven Discovery and Alliance
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批准号:1839255
-
项目类别:Standard Grant
-
资助金额:$9.91万
-
财政年份:2018
-
负责人:Brandeis Marshall
-
依托单位:
Planning a Dual Institution Research Center in Socially Relevant Computing
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批准号:1547714
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项目类别:Standard Grant
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资助金额:$9.24万
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财政年份:2016
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负责人:Brandeis Marshall
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依托单位:
Computer Science For All Workshop in Atlanta
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批准号:1721834
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项目类别:Standard Grant
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资助金额:$16.02万
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财政年份:2016
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负责人:Brandeis Marshall
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依托单位:
Broadening Participation in Data Mining Workshop
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批准号:1232397
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项目类别:Standard Grant
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资助金额:$0.99万
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财政年份:2012
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负责人:Brandeis Marshall
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依托单位:
海外基金