The SIGCSE Committee on Computing Education in Liberal Arts College is charged with providing a network for faculty interested in liberal arts computing programs and providing a voice for the community in larger discussions of computing education. This BoF will invite the SIGCSE community to learn more about the liberal arts and gather information about community priorities for networking and/or advocacy. After a brief introduction to the Committee and its goals, participants will form breakout groups to discuss the priorities and needs of liberal arts CS education. Facilitators will report back high priority items to the room. Then groups will be formed around the common themes, and participants will discuss concrete work for the Committee. The Committee will use the feedback from this session to plan events and activities for the coming year, including the creation of Working Groups, which BoF participants can join. Any SIGCSE attendee with an interest in the liberal arts is welcome to attend. We interpret the liberal arts broadly as programs emphasizing education for the breadth of graduates' career, civic, and personal lives. Faculty at all institution types may also be interested in attending if they supervise graduate students or lead REU programs. Because the stated objective of this event is to hear from new voices, including students, and build connections, our activities will be structured to encourage participation among all attendees. More information about the Committee is available at https://computing-in-the-liberal-arts.github.io/.

The recently released CS2023 Curriculum Guidelines propose a "CS Core" of topics that any student with a bachelor's degree in Computer Science must know. While the process of generating CS2023 included multiple rounds of feedback from the CS community, the end result is necessarily the result of compromise and may not meet the needs of all institutions. In particular, the size of the CS Core, as measured in instructional time or courses, may not be consistent with all programs. Small programs with limited faculty, liberal arts programs wishing to ensure space for academic exploration, or departments wanting to explore less traditional curricular structures may find a large CS Core limiting. The 2024 report "Piecing Together the Next 15 Years of Computing Education" edited by Decker and Weiss discusses the challenges of our increasingly "overstuffed curricula" and the barriers this can erect against broadening participation in computing.

ACM/IEEE curriculum guidelines for computer science, such as CS2013 or the forthcoming CS2023, provide well-researched and detailed guidance about the content and skills that make up an undergraduate computer science (CS) program. Liberal arts CS programs often struggle to apply these guidelines within their institutional context and goals. Historically, this has been addressed through the development of model CS curricula tailored for the liberal arts context. We take a different position: that no single model curriculum can apply across the wide range of liberal arts institutions. Instead, we argue that liberal arts CS educators need best practices for using guidelines such as CS2023 to inform curriculum design. These practices must acknowledge the opportunities and priorities of a liberal arts philosophy as well as a program's mission and identity. This paper reviews the context and motivation behind computing in the liberal arts. We also review the history of liberal arts CS educators and ACM/IEEE curriculum guidelines. We present data and trends about liberal arts computing programs, discussing how this informs curriculum design. Finally, we propose a process that guides programs to work with curriculum guidelines through the lens of institutional and program missions and identities, goals, and situational factors.

In this session, members of the ACM Data Science (DS) Task Force will present the final draft of Computing Competencies for Undergraduate Data Science Programs. Drafting this document has been a three-year process, in which the task force has released preliminary drafts, sought input from the community, and responded to the community's helpful feedback. Our intent is that the session be an exchange that will clarify the contents of the report and provide participants with ways to put the report into practice at their own institutions. This session should be of interest to all SIGCSE attendees, but especially to faculty developing college-level curricula in Data Science.