Student DataCon@WLU, networking for data analytics, big data and statistical computing

In November 2017, Washington and Lee University held its first DataCon, a new event for students. The two-day program was designed to highlight the impacts and career paths for data analytics, big data and statistical computing across a variety of industries.  The gathering brought together students, faculty, staff and alumni for a series of discussions and networking opportunities around data sciences in both academic and professional life, including ways that analytics are used in the fields of advertising, finance and technology.

DataCon-692x768Reflecting on the experience, DataCon co-organizer Professor Denny Garvis noted:

We can tell already that we are tapping into an existing but quiet network of students, faculty and alumni who are really doing interesting work

The inaugural conference was so successful that another DataCon will be held next year. (more…)

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Adaptive Learning (and Adaptive Teaching) in a First Course in Applied Statistics


Session 9: Adaptive Learning (and Adaptive Teaching) in a First Course in Applied Statistics
Speaker: Denny Garvis, Professor of Business Admin & Mgmt, The Williams School at Washington & Lee University
Date & Location: June 16 at Vassar College

D. Garvis, Washington & Lee University
D. Garvis, Washington & Lee University

This presentation serves as a practical follow-up to the Candace Thille keynote from LACOL 2016. Specifically, adaptive learning courseware originally developed in the Online Learning Initiative (OLI) at Carnegie Mellon University has been used in the Applied Statistics course in the Williams School at Washington and Lee since 2014. Pedagogical advantages, trade-offs in teaching, and student learning outcomes from using the OLI Statistical Reasoning courseware, now hosted by Stanford EdX, will be discussed.

Additional Resources:

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