Graduate Course Descriptions

The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.

5000. Introduction to Computational Linguistics

3.00 credits

Prerequisites: Open to graduate students in Linguistics and others with consent of Instructor. Recommended preparation: At least one course in Linguistics or Computer Science.

Grading Basis: Graded

Computational methods in linguistic analysis and natural language processing. Topics include the use of text corpora and other sources of linguistic data; morphological analysis, parsing and language modeling; applications in areas such as information retrieval and machine translation.


Last Refreshed: 04-MAR-24 05.20.23.385554 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Spring 2024 7138 Storrs In Person Kaufmann, Stefan 001 Reg MoWeFr 10:10am‑11:00am
3/10 SHH 308 3.00 Graded