Computer Science

Fundamentals of Information Retrieval

Fundamentals of Information Retrieval
Concepts and terminology of information retrieval (IR) systems. Design methodologies and issues. Fundamental IR models examined: Boolean, Vector Space, Probabilistic models, and evaluation strategies.
 Hours3.0 Credit, 3.0 Lecture, 0.0 Lab
 PrerequisitesC S 240
 NoteStudents are allowed 1 repeat of each C S undergraduate course (all 100-, 200-, 300- or 400-level courses). This includes all students who received any grade including those who withdraw (receive a "W" grade) from a C S course. Students must wait 1 semester/term before being allowed to take a course they have failed twice. Petitions for exceptions to the policy can be completed at
 ProgramsContaining C S 453
Course Outcomes: 

Understand and evaluate fundamental IR models

  • Boolean
  • Vector Space
  • Probabilistic

Query Processing

Extract, parse, index, and classify source information for query processing

Query Construction

Represent user's information needs, refine user's queries, and construct query results using snippets and categories

Machine Learning

Categorize, cluster, and filter query results using various supervised and unsupervised learning strategies


Evaluate the effectiveness, efficiency, and cost of performing searches using search engines