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SSW 627 Natural Language Processing for Socio-Technical Systems

The aim of this course is to provide an all-around practical education on how to leverage on Natural Language Processing to better address key needs of Systems and Enterprises, including Software Engineering impacts. This is an advanced application course and even if it is focused on applications rather than theoretical components, it requires students to have a good mathematical, statistical and coding background. Course is using Python and its main Machine Learning libraries, along with current Large Language Models.

Credits

3

Cross Listed Courses

EM 627

Prerequisite

Distribution

Engineering Management Program Software Engineering Program

Typically Offered Periods

Fall Semester