REU Site: REUMass: A Summer Computing Research Experience in Data Science

REU 网站：REUMass：数据科学的夏季计算研究体验

• 批准号: 1461021
• 负责人: David Jensen
• 金额: $ 35.98万
• 依托单位: University of Massachusetts Amherst
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1461021&HistoricalAwards=false
• 关键词: REU; Site; REUMass; Summer; Computing

Title: REU Site: REUMass: A Summer Computing Research Experience in Data ScienceThis project provides undergraduate students with a 10-week intensive summer research experience focused on data science, an emerging area with high societal impact and significant student interest. Data science studies theory and methods that enable efficient extraction of knowledge from large amounts of data. The intellectual merits of this project include the investigation and development of new methods for data analysis, methods for improving the infrastructure for analysis, and the application of those analysis methods and infrastructure to useful problems. The project's broader significance and importance include increasing the attractiveness of graduate study in computer science for students from community colleges and underrepresented groups, and increasing the technical knowledge of data science among such students.Each student project is oriented around a single type of analysis method, infrastructure, or application, but projects embed that work within an integrated "deep stack" view of data science that connects applications with analytics and infrastructure. Students participate in a number of technical activities (workshops, symposia, field trips, etc.) and social events that have proven successful in creating a close and sustained relationship among the participants in past year's cohorts. This focus helps emphasize how fundamental computer science enables a broad set of information technology applications as well as showing the breadth of opportunities in computer science, and these areas have proven to be attractive to the proposal's target cohorts.

标题：REU网站：REU质量：数据科学的暑期计算研究体验这个项目为本科生提供了为期10周的密集暑期研究体验，重点是数据科学，这是一个具有高度社会影响和显著学生兴趣的新兴领域。数据科学研究能够有效地从大量数据中提取知识的理论和方法。该项目的智力优势包括研究和开发新的数据分析方法，改进分析基础设施的方法，以及将这些分析方法和基础设施应用于有用的问题。该项目的更广泛的意义和重要性包括增加计算机科学研究生学习对来自社区学院和代表性不足的群体的学生的吸引力，以及增加这些学生对数据科学的技术知识。每个学生项目都以单一类型的分析方法、基础设施或应用程序为导向，但项目嵌入了将应用程序与分析和基础设施连接在一起的数据科学的集成“深层堆栈”视图中。学生参加许多技术活动(研讨会、座谈会、实地考察等)。以及在过去一年的队列中成功地在参与者之间建立密切和持续关系的社交活动。这一重点有助于强调基础计算机科学如何实现一系列广泛的信息技术应用，并展示计算机科学机会的广度，这些领域已被证明对提案的目标群体具有吸引力。