CS329R

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Race and Natural Language Processing

Computer Science ENGR - School of Engineering

Course Description

The goal of this practicum is to integrate methods from natural language processing with social scientific perspectives on race to build and/or analyze practical systems that address significant societal issues. Readings will be drawn broadly from across the social sciences and computer science. Projects may include large, complex datasets and involve community partnerships relevant to race and natural language processing. Graduate standing and instructor permission required. Students interested in participating should complete the online application for permission. Limited enrollment.

Cross Listed Courses

Grading Basis

ROP - Letter or Credit/No Credit

Min

3

Max

3

Course Repeatable for Degree Credit?

No

Course Component

Lecture

Enrollment Optional?

No

Programs

CS329R is a completion requirement for:
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