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.

虽然计算在过去的二十年里变得越来越强大和无处不在，但统计学课程以任何重要的方式将其纳入其中的速度很慢。良好的计算技能对于良好的数据分析至关重要。学生必须能够表达计算指令和思想，就像他们可以操纵数学一样。为了实现这一目标，必须将计算作为一个单独但综合的主题在概念层面上全面融入课程，该项目将计算统计和数据技术方面的专家聚集在一起，讨论和确定统计计算方面的关键主题。讨论为设计将计算主题纳入课程的材料的创建提供了信息。结果之一是出版理论和应用计算的课程大纲，从数值算法到数据技术，比较编程系统和可视化。另一个成果是开发材料，促进其他教师在整合计算到他们的统计程序。第三个成果是一本关于数据技术和统计的书。正在提供论坛讨论和传播技术进步及其对统计的影响，教师发展讲习班正在向教师讲授这些主题，并演示如何在本科课程中讲授这些主题。课程编制的目的是结合现代方法和数据分析，传授概率和统计基本专题方面的知识和培训，专注于与数据相关的计算的重要方面。数据技术文本的创建填补了统计学教育中的一个关键空白，而统计学或计算机科学文本没有涵盖这一空白。调查人员有经验的科学家和工程师在工业和开发课程材料，无缝整合统计概念与practice.Broader影响：学生的计算能力有一个真实的影响他们的能力，理解和探索统计概念，并作出重大贡献的重要科学问题的研究。该项目的工作正在影响统计领域，提供了改变统计教学方式的示范课程和教学大纲，协助发展用这种方法教授统计的教师队伍，并编写了一本关于数据技术和统计的书。