SGER: Computational Thinking for Practicing Engineers

SGER：实践工程师的计算思维

• 批准号: 0836133
• 负责人: David Garlan
• 金额: $ 15万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0836133&HistoricalAwards=false
• 关键词: SGER; Computational; Thinking; Practicing; Engineers

This is a SGER request that addresses both industry's and academia's need for computer professionals with solid foundational knowledge in computational thinking. Declining computer science enrollment at all levels is making such a need hard to meet, with the result that experienced practitioners are not fully realizing their potential because they may lack formal training in computer science. By and large, suitable alternatives to mastery on computing foundation do not exist for the population of computing practitioners. Taking a large number of undergraduate courses in foundational computer science topics is inappropriate because of the time commitment and the fact that such courses are oriented towards students with little experience or domain expertise. Moreover, most graduate courses typically assume this knowledge as a prerequisite. This SGER project proposes to address this critical need by condensing the foundational knowledge into a set of modules that streamlines its presentation and relates it to practical engineering examples, targeting students with some experience in software development. Such a course will help bridge the gap between the practical nature of todays software systems and the foundations needed to apply advanced techniques and theories to solve real problems. Intellectual Merit: This project will address the current gap between engineering practice and educational materials related to computational thinking and computer science foundations by: 1. Distilling the essential elements of computational thinking for practicing engineers, 2. Providing ways to relate those concepts to practical applications, 3. Packaging the material in modules that can satisfy diverse backgrounds and needs. This project team proposes to develop a course that directly addresses the requirements outlined above. Specifically, it will distill and package the set of core, foundational concepts of computational thinking that have stood the test of time and are relevant broadly to professionals working in software development or other disciplines that have a significant computational component, for example computational biology, computational astronomy, etc. An evaluation strategy will be put in place to assess the quality and effectiveness of the project. The two main areas of evaluation will be evaluation of course content, and evaluation of course delivery.

这是一个SGER请求，该请求解决了行业和学术界对计算思维中具有扎实基础知识的计算机专业人员的需求。各个层面的计算机科学入学率都在下降，这使得很难满足，因此经验丰富的从业者并未完全意识到自己的潜力，因为他们可能缺乏计算机科学的正式培训。总体而言，适合计算基础的精通替代方案对于计算从业者的人群不存在。在基础计算机科学主题中，参加大量的本科课程是不合适的，因为时间的承诺以及此类课程面向很少经验或领域专业知识的学生的事实。此外，大多数研究生课程通常都将此知识视为先决条件。该SGER项目建议通过将基础知识凝结成简化其演示文稿并将其与实用工程示例相关联的模块，以针对具有软件开发经验的学生的一组模块，以解决这一关键需求。这样的课程将有助于弥合今天软件系统的实际性质与应用高级技术和理论所需的基础之间的差距。智力优点：该项目将解决与计算思维和计算机科学基础有关的工程实践与教育材料之间的当前差距：1。将计算思维的基本要素用于实践工程师，2。提供将这些概念与实践应用联系起来的方法，3。将这些概念与可以满足各种各样的材料包装，以满足各种各样的材料。该项目团队建议开发一门直接解决上述要求的课程。具体而言，它将提炼和打包一组经过时间考验的计算思维的核心基础概念，并且与在软件开发或具有重要计算成分的其他学科的专业人员（例如计算生物学，计算天文学等）中广泛相关。评估的两个主要领域将是评估课程内容和课程交付的评估。