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REU Site: Big Data Analytics

REU Site: Big Data Analytics
REU 网站:大数据分析
批准号:
1560191
负责人:
Sanmay Das
金额:
$35.91万
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:
2016-04-01 至 2019-03-31

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中文摘要
翻译
这个新的本科生研究经验(REU)网站将培训学生使用计算机科学方法进行数据分析,从机器学习到数据管理,并从主要研究参与和补充活动中培养研究技能。学生将:(1)接触到数据分析在计算机科学中的许多应用,(2)通过一个特定的项目获得专业知识,(3)具备技术竞争优势,知识和动机,在STEM领域进行研究生学习。他们将深入参与到具有广泛兴趣和社会吸引力的项目中。这个REU网站将通过培训和吸引新一代学生来建立国家经济竞争力,特别关注女性和来自没有太多STEM领域研究机会的机构的学生。大数据是所有领域和学科产生的不断增长的数据供应和处理和挖掘这些数据的日益强大的计算工具的汇合,被广泛认为是21世纪最大的机遇和挑战之一。该网站将为本科生提供一个机会,在利用数据分析的众多计算机科学领域之一从事前沿研究。每个学生将在一个特定的项目上与一位教师导师一起工作。学生将参与与他们自己的暑期项目相关的激烈的实践研究经验,但他们将享受REU学生的队列社区,所有学生都在数据分析领域工作和学习。学生将学习如何智能地使用数据来解决难题,提高人们的生活质量。他们将在现场完成他们的时间,并掌握进一步使用数据分析应用于他们选择的领域的技能。
英文摘要
This new Research Experiences for Undergraduates (REU) site will train students in a computer science approach to data analytics, ranging from machine learning to data management, and develop research skills from primary research engagement and supplementary activities. Students will: (1) be exposed to the many applications of data analytics across computer science, (2) gain expertise via one specific project, and (3) be equipped with a technical competitive advantage, knowledge, and motivation to pursue graduate study in a STEM field. They will be deeply involved in projects that span a wide range of interests and have social appeal. This REU site will build national economic competitiveness by training and engaging a new generation of students, with a specific focus on women and on students from institutions without much access to research in STEM areas.Big data - the confluence of an ever growing supply of data generated across all fields and disciplines and increasingly powerful computational tools to process and mine these data - is widely acknowledged as one of the biggest opportunities and challenges of the 21st century. This site will give undergraduates a chance to engage in cutting-edge research in one of many computer science fields that utilizes data analysis. Each student will work with a single faculty mentor on a specific project. Students will participate in an intense, hands-on research experience associated with their own summer project, but they will enjoy a cohort community of REU students all working within and learning about data analytics. Students will learn the ways in which the intelligent use of data can solve difficult problems and improve people's quality of life. They will complete their time at the site with the skills to further the use of data analysis applied to the field of their choosing.
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