A Comprehensive Framework for Timely Introduction of Emerging Data-Intensive Computing to STEM Audiences

向 STEM 受众及时介绍新兴数据密集型计算的综合框架

• 批准号: 0920335
• 负责人: Bina Ramamurthy
• 金额: $ 24.99万
• 依托单位: SUNY at Buffalo
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0920335&HistoricalAwards=false
• 关键词: Comprehensive; Framework; Timely; Introduction; Emerging

Computer Science (31)This project aims to improve the big-data preparedness of diverse STEM audiences by defining a comprehensive framework called TIDE (Timely Introduction of Emerging Data-intensive computing). The project creates a certificate program and provides methods to institutionalize the framework developed. The project is motivated by and guided by collective experiences in grid computing and in solving domain-specific problems in life sciences and environmental engineering. Data-intensive computing has been receiving much attention as a solution to address the data deluge that has been brought about by tremendous advances in distributed systems and Internet-based computing. An innovative programming model called MapReduce and a peta-scale distributed file system to support it have revolutionized and fundamentally changed approaches to large scale data storage and processing. However there exists no systematic approach to teach the big-data concepts to STEM undergraduates. TIDE addresses these issues through the following objectives: (a) Define a set of core competencies that are required for research (to advance the field) and for practical application design (to build systems) in data-intensive computing areas; (b) Define a certificate program that consists of five courses that effectively addresses the competencies defined above: data structures and algorithms, distributed systems, data-intensive computing, a domain-specific course, and a capstone project solving a data-intensive problem. These courses are developed from existing courses as part of the TIDE project; (c) Define and develop the curriculum for the courses, including teaching materials such as laboratory exercises and case studies for practical experimentation; (d) Broaden participation in the certificate program; (e) Assess the progress and the effectiveness of the program; and (f) Provide strategies for educators to effectively adopt the TIDE framework.

计算机科学(31)该项目旨在通过定义名为TEDE(及时引入新兴数据密集型计算)的综合框架，改善不同STEM受众对大数据的准备。该项目创建了一个证书计划，并提供了使所开发的框架制度化的方法。该项目是由网格计算以及解决生命科学和环境工程领域特定问题的集体经验推动和指导的。数据密集型计算作为一种解决分布式系统和基于互联网的计算的巨大进步带来的数据洪流的解决方案，已经受到了极大的关注。一种名为MapReduce的创新编程模型和支持它的Peta级分布式文件系统彻底改变了大规模数据存储和处理的方法。然而，目前还没有向STEM本科生传授大数据概念的系统方法。浪潮通过以下目标解决这些问题：(A)定义一套在数据密集型计算领域进行研究(推进该领域)和实际应用设计(构建系统)所需的核心能力；(B)定义一个证书计划，该计划由五门课程组成，有效地解决上述定义的能力：数据结构和算法、分布式系统、数据密集型计算、特定领域的课程，以及解决数据密集型问题的顶峰项目。这些课程是在现有课程的基础上发展起来的，作为全球环境变化趋势项目的一部分；(C)确定和制定课程的课程设置，包括实验室练习和实际实验案例研究等教材；(D)扩大证书方案的参与范围；(E)评估该方案的进展和成效；以及(F)为教育工作者提供有效采用全球环境变化趋势框架的战略。