C S 453
Fundamentals of Information Retrieval
Computer Science
College of Physical and Mathematical Sciences
Course Description
Concepts and terminology of information retrieval (IR) systems. Design methodologies and issues. Fundamental IR models examined: Boolean, Vector Space, Probabilistic models, and evaluation strategies.
When Taught
Spring Term
Grade Rule
Grade Rule 8: A, B, C, D, E, I (Standard grade rule)
Min
3
Fixed
3
Fixed
3
Fixed
0
Title
Understand and evaluate fundamental IR models
Learning Outcome
Boolean
Vector Space
Probabilistic
Title
Query Construction
Learning Outcome
Represent user's information needs, refine user's queries, and construct query results using snippets and categories
Title
Query Processing
Learning Outcome
Extract, parse, index, and classify source information for query processing
Title
Machine Learning
Learning Outcome
Categorize, cluster, and filter query results using various supervised and unsupervised learning strategies
Title
Analysis
Learning Outcome
Evaluate the effectiveness, efficiency, and cost of performing searches using search engines
