This is an experiential course that will explore the opportunities and challenges presented by generative AI and its impact on society. The primary focus of this course is on investigating how gen AI, as a public interest technology, can enhance human cognitive interactions with the world; it is also focused on increasing awareness of the potential ways it could de- or downgrade it. Students will have the opportunity to develop hands-on experience through prompt-engineering exercises that build gen AI literacy.

This course orients music analysts to the process of meaning-making via semiotics, or the study of signification. Starting with foundational readings in semiotics, we will then explore topics in musical narrative, performance and analysis, and music?s role in the formation of social relationships. Through and alongside our readings, we will regularly put theory into practice, with one focal analysis and one or more readings per week.

This course centers the experiences, activism, and creative work of trans feminine people, a complex umbrella category which includes trans women as well as many (c)amab non-binary people, along with two-spirit and hijra communities who identify with trans femininity. This course positions Trans Studies, trans activism, and trans creative work as intrinsically related to other creative, activist, and academic fields (especially Black Studies and Indigenous Studies).

This course centers the experiences, activism, and creative work of trans feminine people, a complex umbrella category which includes trans women as well as many (c)amab non-binary people, along with two-spirit and hijra communities who identify with trans femininity. This course positions Trans Studies, trans activism, and trans creative work as intrinsically related to other creative, activist, and academic fields (especially Black Studies and Indigenous Studies).

Continued introduction to classical Latin vocabulary, grammar, and syntax via readings in Latin, with background on Roman imperial society. Prerequisite: LATIN 110 or equivalent with a grade of C or higher.

R has emerged as a preferred programming language in data science. This course covers an introduction to topics in R programming to develop powerful, robust, and reusable data science tools. Main topics include importing of data, data wrangling, visualization, and reporting.