INF 385T: Special Topics in Information Science: Community Engagement and Services

Spring Term 2022
Mode: In Person
Program: MSIS/PhD
Unique ID
28240
Day Start End Building Room
  • Tuesday
  • 3:30 PM
  • 6:30 PM
  • Off
  • Campus

Catalog Description

Introduction to the computational skills needed to conduct digital text analysis using the R programming language. The analytical activities thus covered include text mining as well as statistics, predictive modeling, content modeling, sentiment analysis, and more.

Prerequisites

Graduate standing.

Restrictions

Restricted to graduate degree seekers in the School of Information during registration periods 1 and 2. Remaining seats will be made available to outside students on January 13th. In the meantime, interested non-iSchool students may request a seat reservation by completing this Registration Support Questionnaire.

Notes

This course is designed to provide students with the ability to define and explore the concepts of community, community ownership, and community engagement; situate the library within the ecology of a community to identify existing and potential partners and inform the development of library programs and services; apply principles of message design, marketing, and public relations to the development of professional media and products for outreach and advocacy; and identify theories of interpersonal communication and how these apply to personal growth and the subsequent development of community relationships. https://vimeo.com/637606303