Course Info

CSC 575: Intelligent Information Retrieval

Examination of the design, implementation, and evaluation of information retrieval systems. The focus is on the underlying retrieval models, algorithms, and system implementations. Also examined is how an effective information search and retrieval is interrelated with the organization and description of information to be retrieved. Topics include: automatic indexing; thesaurus generation; Boolean, vector-space, and probabilistic models; clustering and classification; information filtering; distributed IR on the WWW; intelligent information agents; IR system evaluation; information visualization; and natural language processing in IR. Throughout the course, current literature from the viewpoints of both research and practical retrieval technologies both on and off the World Wide Web will be examined. PREREQUISITE(S): CSC 403

CSC 403 (or Data Science MS students)

Winter 2023-2024

Section: 801
Class number: 22610
Meeting time: Tu 5:45PM - 9:00PM
Location: LEWIS 01005 at Loop Campus
Section: 810
Class number: 22611
Meeting time: -
Location: Online: Async

Winter 2022-2023

Section: 810
Class number: 28454
Meeting time: -
Location: Online: Async (Sync-Option)
CLOSED
Section: 830
Class number: 28453
Meeting time: Tu 5:45PM - 9:00PM
Location: Online: Sync

Winter 2021-2022

Section: 801
Class number: 20539
Meeting time: Tu 5:45PM - 9:00PM
Location: Online: Sync
Section: 810
Class number: 20540
Meeting time: -
Location: Online: Async (Sync-Option)

Winter 2020-2021

Section: 820
Class number: 28190
Meeting time: -
Location: Online: Async