Freshman and sophomore seminars offer lower division students the opportunity to explore an intellectual topic with a faculty member and a group of peers in a small-seminar setting. These seminars are offered in all campus departments; topics vary from department to department and from semester to semester. Enrollment limits are set by the faculty, but the suggested limit is 25.

This course will focus on in-depth discussions of a set of books. The readings will primarily cover topics at the intersection of society, data, and software: social media, language models, automation, and more. We will discuss ways that these computing technologies perpetuate inequity and bias under the guise of presumed-neutral solutions. We will critique how we ourselves participate in engineering—both here at UC Berkeley and in any future roles. Lisa Yan is teaching faculty in Data Science and EECS; she studies how students interact with data and computing education at scale. Sarah Chasins is research faculty in EECS; her lab builds programming tools to make computing approachable for diverse new audiences. https://www2.eecs.berkeley.edu/Faculty/Homepages/yanlisa.html https://schasins.com/

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