Data 375

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Data 375: Professional Preparation: Teaching of Data Science

Discussion and practice of techniques for effective teaching of student-centered learning, focusing on issues most relevant to teaching assistants in data science courses. Discussion, review and development of formative and summative assessments, guidance of laboratory classes, course development, supervised practice teaching, and culturally relevant pedagogy.

The course is offered in partnership with the UC Berkeley Division of Computing, Data Science, and Society.

Past Offerings

Each offering site includes links to assignments, slides, and readings. You are welcome to use any of the materials you find.

If you are coming from SIGCSE TS 2025, course materials from Spring 2024 are publicly available at this Google Drive. The materials are available under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license.

SIGCSE TS 2025 Talk slides are also available in the Drive above.

Citation:

Lisa Yan. 2025. Teaching Our Teacher Assistants to Thrive: A Reflexive, Inclusive Approach to Scalable Undergraduate Education. In Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1 (SIGCSETS 2025). Association for Computing Machinery, New York, NY, USA, 1281–1287. https://doi.org/10.1145/3641554.3701950

Finally, we would appreciate a quick email (Lisa Yan: yanlisa[at]berkeley[dot]edu) if you plan to use or adapt our materials in some way. Thanks!

For questions about this website, please contact Lisa Yan, Assistant Teaching Professor, UC Berkeley.