Abstract
Teaching interdisciplinary courses is an exciting way to build collaborations between different departments and to make students aware of the potential impact of their work. Students in these courses can develop skills in synthesis and complex problem solving by learning to draw parallels between different fields of study and application areas. The goal of this BoF is to bring together a community of educators who are teaching interdisciplinary and/or data science courses with the goal of expanding a support network of data science faculty and developing educational standards for undergraduate data science curricula. We would like to leverage the SIGCSE community to bring together people from different disciplines, institutions, and organizations. The session will include a chance for participants to discuss their experience with and challenges with interdisciplinary course teaching. The second half of the hour will be spent trying to identify common themes to be addressed in follow up discussions and meetings. These materials will be posted on the Data Science Pedagogy repository: https://github.com/data-science-pedagogy
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
