Workshop on Data Science Across the Undergraduate Curriculum: University-Industry Online Case Studies on Applications of Data Science

在NSF改善本科生STEM教育计划：教育与人力资源(IUSE：EHR)的支持下，该项目将开发并举办名为“跨本科课程的数据科学：关于数据科学应用的大学-行业在线案例研究”的全国性研讨会。研讨会有两个主要目标：1)审查全国主要的在线资源，以学习和教授本科课程中的数据科学；2)制定初步计划，制定框架，指导课程设计，促进学习环境，并在数据科学应用的在线案例研究的背景下进行评估。来自不同来源的日益丰富的数据正在影响研究、设计、制造、营销和许多工作场所实践。研讨会参与者将探讨学院和大学如何与行业合作，更好地为来自任何专业的本科生做好准备，以便有效地收集、分析和使用数据来改进流程。讲习班将使学员参与在线资源和学习环境，以数据科学在各种STEM领域的应用实例为基础编写案例研究。每个案例研究都将涉及技术和技术层面、应用和社会影响。学员还将考虑如何帮助学生了解数据科学的社会影响。讲习班将编写一份关于其调查结果的报告，可在网上和有关的STEM教育网络上查阅。NSF IUSE：EHR计划支持研究和开发项目，以提高STEM教育对所有学生的有效性。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

With support from the NSF Improving Undergraduate STEM Education Program: Education and Human Resources (IUSE: EHR), this project will develop and hold a national workshop entitled "Data Science Across the Undergraduate Curriculum: University-Industry Online Case Studies on Applications of Data Science." The workshop has two major aims: 1) review the national landscape of major online resources for learning and teaching data science across the undergraduate curriculum; and 2) make initial plans for developing frameworks that will guide curricular design, facilitating learning environments, and doing assessments in the context of online case studies on applications of data science. The growing abundance of data from heterogeneous sources is impacting research, design, manufacturing, marketing, and many workplace practices. Workshop participants will explore how colleges and universities, in partnership with industry, can better prepare undergraduate students from any major to gather, analyze and use data effectively to improve processes. The workshop will engage participants in online resources and learning environments to develop case studies based on examples of data science applications across a wide range of STEM areas. Each case study will address technical and technology dimensions, applications, and societal implications. Participants will also consider ways to help students understand societal impacts of data science. The workshop will generate a report of its findings that will be available online and on relevant STEM education networks. The NSF IUSE:EHR Program supports research and development projects to improve the effectiveness of STEM education for all students.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.