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
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
中文摘要
有针对性的输液项目——促进计算机系统的创新和卓越:建立一个创新的系统实验室——旨在培养计算机科学专业本科生的创新能力。为了促进创新,该项目采用了一种新颖的方法,在六门课程中以循序渐进的方式系统地引入创新,随后在创新系统实验室完成一个高级设计项目。该项目的目标是采用自顶向下和自底向上的方法,在六门计算机科学基础课程中引入创新;创建一个基于web服务、云计算和移动计算的基础设施框架,并在这个总体框架内创建相关的基础设施组件;并利用这一通用框架开发创新的web服务和基于云计算的计算系统项目。该项目的预期结果是,来自计算机科学中代表性不足的群体(非裔美国人、西班牙裔和女性)的本科生数量增加,他们学习了创新的技能,并证明了他们可以使用当前的技术来创建创新的计算系统。这种方法是可扩展和可复制的。该项目将为全国其他小型计算机科学项目提供详细的安装说明、培训指南、源代码和文档。
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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