Course number and title
ISU535 Information Retrieval (4 SH)
Course Description
Discusses information retrieval (IR) including: document models, indexing, query
techniques and results evaluation; text analysis for searching, indexing and
compression; user interfaces for text and multimedia retrieval; digital libraries.
Additional topics may include: parallel and distributed architectures; support
for multimedia and image retrieval; specialized query strategies; advanced
retrieval models. Coursework includes using and evaluating existing IR systems as
well as implementing small scale applications that illustrate indexing and
retrieval strategies. Student projects will draw on knowledge developed through
their own sophisticated use of information resources.
Prerequisites
CSU430
Textbook
Modern Information Retrieval by Ricardo Baeza-Yates and Berthier Ribeiro-Neto,
Addison-Wesley 1999
Topics covered
Modeling
Retrieval Evaluation
Query Languages
Query Operations
Text and Multimedia Languages and Properties
Text Operations
Indexing and Searching
Parallel and Distributed IR
User Interfaces and Visualization
Multimedia IR: Models and Languages
Multimedia IR: Indexing and Searching
Searching the Web
Libraries and Bibliographical Systems
Digital Libraries
Course outcome
An understanding of information resources and how their content can be given
structure and efficiently indexed for retrieval. An understanding of basic
retrieval methods for documents as well as mining of the internal contents of
documents. Understanding the structure of systems that allow individual users
and automated systems to exploit information resources. Understanding the
techniques that are used to evaluate information retrieval systems. Gaining
appreciation of the variety of information resources, from simple text to
complex multimedia. Insight into the complex and rapidly changing world of
information as processing power, bandwidths and storage capacities increase
relentlessly.
Measurement of Course Outcomes
quizzes and exams
programming assignments
research reports (optional)
Relation to Integrated Learning Models (ILM)
Information is a pre-eminent driving force of modern technological society.
Virtually every job today requires at least a basic appreciation of the nature
of information and access to it. More specialized jobs in this area exist and
demand an even deeper level of understanding of information retrieval.
Relation to Curriculum 2001
See: http://www.acm.org/sigcse/cc2001/IM.html#IM-StorageRetrieval