Computing in Statistics: Model Courses and Curricula

统计计算：示范课程和课程

• 批准号: 0618865
• 负责人: Deborah Nolan
• 金额: $ 47.78万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-01 至 2012-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0618865&HistoricalAwards=false
• 关键词: Computing; Statistics; Model; Courses; Curricula

Although computing has become increasingly more powerful and ubiquitous over the past twenty years, the curriculum in statistics has been slow to incorporate it in any significant manner. Good computing skills are essential for good data analysis. Students must be able to express computational instructions and ideas in the same way that they can manipulate mathematics. To accomplish this goal, computing must be infused into the curriculum at a conceptual level and comprehensively as a separate, but integrated, topic.This project is bringing together experts in computational statistics and data technologies to discuss and identify key topics in computing for statistics. The discussion is informing the creation of materials designed to integrate computing topics into the curricula. One outcome is the publication of course syllabi for theoretical and applied computing that vary from numerical algorithms to data technologies, comparative programming systems, and visualization. Another outcome is the development of materials that facilitate other faculty in integrating computing into their statistics programs. A third outcome is a book on data technologies and statistics. Forums are being provided to discuss and disseminate advances in technology and their impact on statistics, and faculty development workshops are teaching faculty about these topics and demonstrating how to teach these topics in undergraduate programs.Intellectual Merit: The curriculum development is being designed to impart knowledge and training in the fundamental topics of probability and statistics combined with modern methodologies and data analysis, focusing on important aspects of computing related to data. The creation of the data technologies text fills a critical void in statistics education that is not covered by texts in statistics or computer science. The investigators have experience working with scientists and engineers in industry and in developing course materials that seamlessly integrate statistical concepts with practice.Broader Impact: The ability of students to compute has a real impact on their ability to understand and explore statistical concepts and to contribute significantly to the study of important scientific problems. This project work is impacting the field of statistics by offering model courses and syllabi for changing the way statistics is taught, assisting in the development of faculty to teach statistics with this approach, and producing a book on data technologies and statistics.

尽管在过去的二十年中，计算已经变得越来越强大且无处不在，但统计的课程以任何重要的方式纳入统计信息的速度很慢。良好的计算技能对于良好的数据分析至关重要。学生必须能够像操纵数学一样表达计算说明和想法。为了实现这一目标，必须将计算在概念层面上注入课程中，并全面地作为一个单独但集成的主题。本项目将计算统计和数据技术的专家汇集在一起​​，以讨论和识别统计计算中的关键主题。讨论正在告知创建旨在将计算主题集成到课程中的材料。一个结果是从数值算法到数据技术，比较编程系统和可视化的理论和应用计算的课程大纲的出版。另一个结果是开发材料，促进其他教师将计算纳入其统计计划。第三个结果是有关数据技术和统计数据的书。提供论坛是为了讨论和传播技术的进步及其对统计的影响，教师发展研讨会正在教授有关这些主题的教师，并演示如何在本科课程中教授这些主题。Intlectual FerieT：课程开发旨在将知识和统计的知识和统计学的知识和统计学的基础与现代方法相结合，并将数据与数据相关联。数据技术文本的创建填补了统计教育中的关键空隙，而统计或计算机科学中的文本未涵盖。研究人员具有与行业的科学家和工程师合作的经验，并开发了将统计概念与实践无缝整合的课程材料。Boader的影响：学生计算的能力对他们理解和探索统计概念的能力具有真正的影响，并对重要科学问题的研究做出了重大贡献。这项项目工作正在通过提供模型课程和教学大纲来改变统计方式，从而影响统计的领域，以改变统计的方式，从而有助于发展教师以这种方法教授统计信息，并制作一本有关数据技术和统计数据的书。