A Collaborative Project: Development of an Undergraduate Data Mining Course

数据挖掘是一个新兴的领域。数据挖掘的知识已经在IT行业和新的领域，如生物信息学，信息保障和国土安全的数据是巨大的需求。传统上，数据挖掘课程是在研究生阶段提供的;现在，本科阶段需要这种类型的课程，以提高对这一领域的兴趣并满足劳动力市场的需求。亚利桑那州和赖特州立大学之间的这个合作项目为大三和大四学生开发了一门本科数据挖掘课程。目标是：开发一门课程，可以由学期ASU或季度WSU学期教授，建立车辆和方法，以增加学生在课程中的保留，并促进数据挖掘技能解决问题所必需的。这些目标是通过几种方式实现的：设计一个预评估工具来衡量学生的数据挖掘知识，以及在线教程;开发课程材料，通过反思，批判，练习，从实践中辨别理论，提高解决问题的能力;以及使用一个持续的评估过程，不仅解决学生的成绩，而且还解决入学保留问题。主要信息技术行业的投入被用来纳入即时的实际需要。该项目的结果，包括评估，通过各种方式公布。笔记、辅助材料、专题和考试都可以在课程网站上找到。

Data mining is an emerging field. The knowledge of data mining has been in demand in the IT industry and in new areas like bioinformatics, information assurance, and homeland security where data are massive. Traditionally, data mining courses are offered at the graduate level; now, this type of course is needed at the undergraduate level to increase interest in this area and address labor market demands. This collaborative project between Arizona and Wright State Universities develops an undergraduate data mining course for junior and seniors. The objectives are: develop a course that can be taught either by semester ASU or quarter WSU term, establish vehicles and approaches to increase student retention in the course, and promote data mining skills essential to problem solving. The objectives are accomplished in several ways: designing a pre-assessment instrument measuring student knowledge of data mining, and on-line tutorials; develop course materials that will enhance problem solving skills through reflection, critique, exercises, discerning theory from practice; and using a continuous evaluation process that addresses not only student achievement but also enrollment retention. Input from leading IT industry is used to incorporate immediate practical needs. The results of the project including evaluation are published via various means. Notes, supporting materials, projects, and exams are made available on the course web site.