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: Washington University
• 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
• 起止时间: 2016-04-01 至 2019-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1560191&HistoricalAwards=false
• 关键词: REU; Site; Big; Data; Analytics

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.

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）接触计算机科学中数据分析的许多应用，（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，知识和动力，以追求STEM领域的研究生学习。 他们将深入参与涉及广泛利益并具有社会吸引力的项目。 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，大数据--所有领域和学科产生的日益增长的数据供应以及处理和挖掘这些数据的日益强大的计算工具的汇合--被公认为是21世纪最大的机遇和挑战之一。 这个网站将给本科生一个机会，从事尖端研究的许多计算机科学领域之一，利用数据分析。 每个学生将与一个教师导师在一个特定的项目。 学生将参加与自己的暑期项目相关的激烈的实践研究体验，但他们将享受REU学生的队列社区，所有学生都在其中工作并学习数据分析。 学生将学习如何智能使用数据来解决难题，提高人们的生活质量。 他们将完成他们的时间在现场的技能，以进一步使用数据分析应用到他们选择的领域。