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 SGER 的一项要求，旨在满足行业和学术界对具有扎实的计算思维基础知识的计算机专业人员的需求。各级计算机科学入学人数的下降使得这种需求难以满足，结果是经验丰富的从业者无法充分发挥自己的潜力，因为他们可能缺乏计算机科学方面的正规培训。总的来说，对于计算从业者来说，不存在掌握计算基础的合适替代方案。学习大量基础计算机科学主题的本科课程是不合适的，因为需要花费大量时间，而且此类课程面向经验或领域专业知识很少的学生。此外，大多数研究生课程通常都将这些知识作为先决条件。该 SGER 项目旨在通过将基础知识浓缩为一组模块来满足这一关键需求，这些模块简化了其演示并将其与实际工程示例联系起来，针对具有一定软件开发经验的学生。这样的课程将有助于弥合当今软件系统的实用性质与应用先进技术和理论解决实际问题所需的基础之间的差距。智力优势：该项目将通过以下方式解决当前工程实践与计算思维和计算机科学基础相关的教育材料之间的差距：1.为实践工程师提炼计算思维的基本要素，2.提供将这些概念与实际应用联系起来的方法， 3. 将材料封装成模块，可以满足不同的背景和需求。该项目团队建议开发一门直接满足上述要求的课程。具体来说，它将提炼和打包计算思维的一组核心、基本概念，这些概念经受住了时间的考验，并且与从事软件开发或其他具有重要计算成分的学科的专业人员广泛相关，例如计算生物学、计算天文学等。将制定评估策略来评估项目的质量和有效性。评估的两个主要领域是课程内容的评估和课程交付的评估。