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里，计算变得越来越强大和无处不在，但统计学课程在以任何有意义的方式将其纳入其中的速度却很缓慢。良好的计算技能对于良好的数据分析至关重要。学生必须能够以与处理数学相同的方式表达计算指令和想法。为了实现这一目标，计算必须在概念层面上全面融入课程中，作为一个单独但综合的主题。该项目汇集了计算统计和数据技术方面的专家，讨论和确定统计计算中的关键主题。此次讨论为创建旨在将计算主题整合到课程中的材料提供了信息。成果之一是出版了理论和应用计算课程大纲，涵盖数值算法、数据技术、比较编程系统和可视化等。另一个成果是开发了有助于其他教师将计算集成到他们的统计项目中的材料。第三个成果是一本关于数据技术和统计的书。提供论坛来讨论和传播技术进步及其对统计的影响，教师发展研讨会正在向教师教授这些主题，并演示如何在本科课程中教授这些主题。 智力优势：课程开发旨在传授知识概率和统计基础主题与现代方法论和数据分析相结合的培训，重点关注与数据相关的计算的重要方面。数据技术教科书的创建填补了统计教育中统计学或计算机科学教科书未涵盖的一个关键空白。研究人员拥有与行业科学家和工程师合作以及开发将统计概念与实践无缝结合的课程材料的经验。更广泛的影响：学生的计算能力对其理解和探索统计概念并做出重大贡献的能力产生真正的影响来研究重要的科学问题。该项目工作通过提供模型课程和教学大纲来改变统计学的教学方式，帮助培养用这种方法教授统计学的教师，并制作一本关于数据技术和统计学的书，从而对统计学领域产生影响。