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Targeted Infusion Project Grant: Fostering Innovation and Excellence in Computing Systems: Establishing an Innovative Systems Laboratory

Targeted Infusion Project Grant: Fostering Innovation and Excellence in Computing Systems: Establishing an Innovative Systems Laboratory
有针对性的注入项目资助:促进计算系统的创新和卓越:建立创新系统实验室
批准号:
1238904
负责人:
Kiran Bellam
金额:
$29.61万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-09-01 至 2017-08-31

项目摘要

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中文摘要
翻译
有针对性的注入项目题为-促进创新和卓越的计算系统:建立一个创新的系统实验室-的目标是促进创新的本科生在计算机科学计划。为了促进创新,该项目采用了一种新颖的方法,在六门课程中逐步系统地介绍创新,然后在创新系统实验室完成高级设计项目。该项目的目标是采用自上而下和自下而上的方法在六门基础计算机科学课程中引入创新;创建基于Web服务、云计算和移动的计算的基础设施框架以及该总体框架内的相关基础设施组件;并使用该总体框架开发基于Web服务和云计算的创新计算系统项目。该项目的预期成果是增加来自计算机科学代表性不足的群体(非裔美国人,西班牙裔和女性)的本科生人数,他们学习创新技能,并证明他们可以使用当前的技术来创建创新的计算系统。该方法是可扩展和可复制的。该项目将提供详细的安装说明,培训指南,源代码和文档,以其他小型计算机科学计划全国。
英文摘要
The Targeted Infusion Project entitled -Fostering Innovation and Excellence in Computing Systems: Establishing an Innovative Systems Laboratory - has the goal to foster innovation in undergraduate students in the Computer Science program. To foster innovation, this project uses a novel approach which systematically introduces innovation in a step-wise fashion in six courses, followed by the completion of a senior design project in the Innovative Systems Laboratory. The objectives of the project are to introduce innovation in six fundamental computer science courses using top down and bottom up approaches; create a web service, cloud computing and mobile computing based infrastructure framework and the associated infrastructure components within this general framework; and use this general framework to develop innovative web services and cloud computing based computing systems projects. The anticipated outcomes of this project are an increase in the number of undergraduate students from groups underrepresented in computer science (African American, Hispanic, and women), who learn the skills to innovate and demonstrate that they can use the current technologies to create innovative computing systems. The approach is scalable and replicable. This project will provide detailed setup instructions, training guides, source code and documentation to other small Computer Science programs nationwide.
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