Collaborative Research: Non-parametric Computer Intensive Statistics Course for Engineers

工程其他(59)这个项目正在为一门非参数计算机密集型(ONCPI)统计课程开发材料。这门课程与现有的本科生统计学课程明显不同，因为NPCI法不依赖于假设的分布函数(非参数)，而严重依赖于计算机抽样(计算机密集型)。通过在动手环境中教授复制、变异和计数的基本概念，学生们正在获得对统计学的直观理解，而不是记住一系列理解不佳的统计“食谱”。实践结果是，统计概念更透明，可以进行更复杂的统计，与传统的基于参数微积分的课程相比，该课程可以在工程课程中更早地进行。PIS正在为NCPI课程开发九个模块，利用初级土木工程课程中选定的模块。

Engineering Other (59)This project is developing materials for a course in non-parametric computer intensive (ONCPI) statistics. This course is distinctly different from existing undergraduate statistics courses in that the NPCI methods do not depend on assumed distribution functions (non-parametric) and rely heavily on computer sampling (computer intensive). By teaching the basic concepts of replication, variation, and counting in a hands-on environment, students are gaining an immediate intuitive understanding of statistics, as opposed to memorizing a series of poorly understood statistical 'recipes'. The practical results are that statistical concepts are more transparent, more sophisticated statistics can be carried out, and the course can be taken earlier in an engineering curriculum than a traditional parametric calculus based course. The PIs are developing nine modules for the NCPI course, utilizing selected modules in a junior level civil engineering course.