The Future of Statistics Education: A Computational Perspective

To join this seminar virtually: Please request Zoom connection details from ea@stat.ubc.ca

Abstract: Statistics education stands at a critical juncture as we navigate the intersection of traditional statistical theory, modern computational approaches, and emerging AI technologies. This talk examines how statisticians can reimagine curricula by embracing computation as foundational elements rather than afterthoughts. While traditional statistics education has prioritized theoretical frameworks and applications, computation has emerged as the backbone of contemporary data analysis—from data acquisition and wrangling to visualization, modeling, and communication. Now, AI tools are further transforming this landscape, creating both opportunities and challenges for statistics and data science educators. The presentation will outline a forward-looking curriculum model for introductory courses that balances statistical thinking, data science methods, and explicit computational instruction

Event Type
Location
ESB 4192 / Zoom
Speaker
Mine Çetinkaya-Rundel, Professor of the Practice and the Director of Undergraduate Studies, Department of Statistical Science and an affiliated faculty in the Computational Media, Arts, and Cultures program, Duke University
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Event date time
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