INF 385T - Special Topics in Information Science: Topics in Information Retrieval and Web Search

Spring 2010
Unique ID: 27877
Syllabus:   Syllabus
Prof:  Lease, Matthew
Room: UTA 1.208
Days:  Fri
Time: 1:00 - 4:00 pm
 

Prerequisites:
Graduate standing. Additional prerequisites may vary with the topic.

Description:
Study of the properties and behavior of information. Technology for information processing and management.

Three lecture hours a week for one semester.

May be repeated for credit when the topics vary.

In an Information Age promising instant access to seemingly limitless information, achieving this promise in practice requires effective
automation for managing our vast and ever-growing information
repositories. Information Retrieval (IR) is the study of methods for
capturing, representing, storing, organizing, and retrieving
unstructured or loosely structured digital information. While such
information was once restricted to electronic documents, today's
landscape of digital content is incredibly rich and diverse, including
Web pages, news articles, books, transcribed speech, email, blogs (and
micro-blogs), images, and video. The rise of the Web as a massive,
global repository and distribution network has earned Web search engines
and other Web technologies particular importance in organizing and
finding information today.

This seminar course will provide a broad introduction to topics in IR
via first-hand reading of published research articles. Weekly
responsibilities will center on reading, summarizing, and discussing
these articles. Over the course of the semester, students will also take
turns presenting the articles and leading class discussion. The course
will culminate in a final project in which students perform novel
research, individually or in groups, investigating a topic of their
choosing in greater depth. Projects may include: writing a survey of
existing research on a particular topic, conducting a user study
examining human factors in deploying IR systems, implementing a new
search algorithm or interface, or performing a novel analysis of
existing IR systems.

Prior knowledge of IR is not required but will certainly be useful. All
interested and motivated students are invited to attend, and the breadth
of readings and personalized final project are intended to serve the
needs of those with particular interest in the field as well as non-specialists interested in gaining broader exposure and understanding
of IR methods and systems.

Topic Description:
Topics in Information Retrieval and Web Search

Notes:
Cross-listed with CS 395T: Reading & Research in Information Retrieval.

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