Computer Science 597R - ST- Appl Information Retrieval

This course will provide a "flipped classroom" experience, with both online lectures, programming exercises, and other activities as well as a weekly lecture/exploration/discussion section. This is a graduate level course intended to cover information retrieval and other information processing activities, from an applied perspective. There will be numerous programming projects, as well as short answer homeworks. It provides both a richer technical follow on to COMPSCI 446 (Search Engines), for undergraduates interested in a deeper understanding of the technologies. It also provides a strong basis for continuing on with COMPSCI 646 (Information Retrieval), for those graduate students who are interested in a more complete theoretical coverage of the area. Topics will include: search engine construction (document acquisition, processing, indexing, and querying); learning to rank; information retrieval system performance evaluation; classification and clustering; other machine learning information processing tasks; and many more. This course counts as a CS Elective toward the BS/BA.

Open to undergraduate students who have completed COMPSCI 320 and either COMPSCI 383, 446, or 585, all with a grade of C or better. LECT 01 FOR UNDERGRADS; LECT 02 FOR GRADS. STUDENTS NEEDING SPECIAL PERMISSION MUST REQUEST OVERRIDES VIA THE ON-LINE FORM: https://www.cics.umass.edu/overrides.