Undergraduate Course in Data and Information Management

In this course, students will study the design and implementation of fundamental data structures and algorithms (discrete and numerical) for data and information retrieval systems. Topics may range from algorithms used in text-based search engines to cluster analysis techniques used in geographic information systems. Relevant empirical studies which compare algorithms and data structures will be covered along with recent approaches to the data mining of large scientific and commercial databases. Students will exploit computer languages such as C, C++, Perl, HTML, and CGI as part of a required course project in intelligent indexing. It is anticipated that some of the "best" projects will be candidates for journal publication, senior theses, or even patents. Current enrollment of this course (CS 460/594) at the University of Tennessee, is mostly comprised of junior and senior undergraduate majors in Computer Science, Mathematics, and Engineering.