EI: Enhancing the CS Undergraduate Curriculum to include data mining and information retrieval

EIA-0119469 Ophir FriederIllinois Institute of Technology教育创新：增强CS本科课程以包括数据挖掘和信息检索该项目涉及两门新课程的开发（并引入本科计算机科学课程）：数据挖掘和信息检索。在这个序列中，学生构建实现关键数据挖掘和信息检索算法的系统，并学习如何应用这些算法来解决现实世界的问题。在这个序列的最后，学生理解和使用基本算法和现有的最先进的网络搜索引擎，内联网，数据挖掘和客户关系管理。两个重要的小组项目为学生提供了作为软件开发团队参与者的经验。这些项目使更大的实施成就，进一步了解算法，实施权衡和软件项目管理。此外，这样的小组项目是未来雇主和研究生院寻找的重要经验。

EIA- 0119469Ophir FriederIllinois Institute of TechnologyEducational Innovation: Enhancing the CS Undergraduate Curriculum to Include Data Mining and Information RetrievalThis project involves the development (and introduction into the undergraduate computer science curriculum) of two new courses: Data Mining and Information Retrieval. In this sequence, students build systems that implement key data mining and information retrieval algorithms and learn how to apply these algorithms to solve real-world problems. At the end of this sequence, students understand and use the fundamental algorithms and existing state-of-the-art in web search engines, intranets, data mining, and customer relationship management. Two significant group projects provide students with experience as participants of a software development team. These projects enable larger implementation achievements that further the understanding of algorithms, implementation trade-offs and software project management. In addition, such a group project is a critical experience that future employers and graduate schools look for.