2023 Spring Course: Computational Social Science Methods (Text and Network Analysis)

The course may also be cross-listed at UT’s soc, info, and govt departments.

The course has demanding prerequisites (https://css.jima.me/prerequisites/), and I hope to recruit highly motivated students to join the self-learning group which helps them meet the requirements. Students who are interested in this course should prepare for the prerequisites over the summer and fall so that they can meet the requirements before the 2023 spring. Course details are below.

Computational Social Science Methods (2023 Spring, graduate course)

This course introduces computational social science methods and contextualizes these methods within the social science research design. The first part of this course (w1–w3) gives you an overview of this course, programming fundamentals, and how to use high-performance cloud computing resources (https://www.tacc.utexas.edu/systems/chameleon). The second part (w4–w12) is analysis-oriented and primarily covers text analysis (w4–w8; with an emphasis on multilingual language analysis) and network analysis (w9–w12). The last few weeks focus on research design with computational methods and the final project. Bilingual or multilingual language ability is a plus. Programming is an essential part of this course but not the purpose and will not be taught. We will be coding for social good.

The course has demanding prerequisites (https://css.jima.me/prerequisites); therefore, students may need to work on the prerequisites in 2022 summer and fall if they are highly motivated. All registrations need to be approved by the instructor in late 2022 fall. Students who are interested in this course can join the learning group (https://uta-css.slack.com/) where more learning resources will be shared.

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