REU Site: CAAR: Combinatorics and Algorithms Applied to Real Problems

REU 网站：CAAR：组合数学和算法应用于实际问题

• 批准号: 1560193
• 负责人: William Gasarch
• 金额: $ 37.5万
• 依托单位: University of Maryland, College Park
• 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: 2016-03-01 至 2019-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1560193&HistoricalAwards=false
• 关键词: REU; Site; CAAR; Combinatorics; Algorithms

This REU site project to be hosted at University of Maryland College Park emphasizes combining theory with practice. The students will benefit from a strong faculty team. Building on the past experience, the project is expected to result in strong undergraduate research leading to successful research/industry careers for the students in the future. Outreach activities with high schools will attract high school students to this research. The site plans to recruit under-represented groups and also students from non-research universities and HBCUs. The projects proposed not only form cutting-edge theory research but are also relevant to practice and have high impact applications. The projects considered are in applied area of Big Data Analytics, Information Extraction in Natural Language Processing, Fair Division, Pricing over Social Networks, Secure Communication and Public Health. The approach of getting students interested in theory, starting from applied implementation has an added side benefit that it would train students in sharp algorithmic implementation and experimentation skills, which are deemed in high regard by leading Computer Science companies.

这个REU网站项目将在马里兰州大学公园主办强调理论与实践相结合。学生将受益于强大的教师团队。在过去经验的基础上，该项目预计将导致强大的本科生研究，导致学生在未来成功的研究/行业职业生涯。与高中的外联活动将吸引高中学生参加这项研究。该网站计划招募代表性不足的群体以及来自非研究型大学和HBCU的学生。 提出的项目不仅形成前沿的理论研究，而且与实践相关，具有很高的应用影响力。考虑的项目是在大数据分析，自然语言处理中的信息提取，公平划分，社交网络定价，安全通信和公共卫生的应用领域。从应用实现开始让学生对理论感兴趣的方法还有一个额外的好处，即它可以训练学生敏锐的算法实现和实验技能，这些技能受到领先计算机科学公司的高度重视。