DTM-5340 Information Retrieval

This course explores the theories and methods used to search and retrieve text and bibliographic information from document repositories. Information retrieval focuses on the analysis of relevance and utility of information. The course will explore data organization and representation, and information access techniques; categorization, content analysis, data structures used for unstructured data, indexing and indexes, clustering and classification methodologies; search and navigation techniques; and search engines. In this course, students will learn to use statistical and linguistic methods for automatic indexing and classification, Boolean and probabilistic approaches to indexing, query formulation, and output ranking. In addition, students will learn to develop and analyze various data filtering methods, measures of retrieval effectiveness, and retrieval methodologies.

Credits: 3

Offered in May 2024, Jul 2024, Jan 2025

Preview the Online Syllabus 
(Please visit the University bookstore to view the correct materials for each course by semester as the contents of the actual online syllabus may differ from the preview due to updates or revisions)