Hi everyone, sorry for the late announcement!
We will be hosting a webinar on Tuesday, January 26, 2020 at 2:00 ET.
Computing in the Statistics and Data Science Curriculum
Mine Çetinkaya-Rundel (University of Edinburgh/RStudio) & Alex Reinhart (Carnegie
The Journal of Statistics and Data Science Education special issue on “Computing in the
Statistics and Data Science Curriculum” features a set of papers that provide a mosaic of
curricular innovations and approaches that embrace computing. The collected papers (1)
suggest creative structures to integrate computing, (2) describe novel data science skills
and habits, and (3) propose ways to teach computational thinking.
In this webinar, we've invited two authors of papers in the special issue to talk
about their work and to answer questions originally posed by Nolan and Temple Lang in
their 2010 TAS paper "Computing in the Statistics Curriculum":
1. When they graduate, what ought our students be able to do computationally, and are we
preparing them adequately in this regard?
2. Do we provide students the essential skills needed to engage in statistical problem
solving and keep abreast of new technologies as they evolve?
3. Do our students build the confidence needed to overcome computational challenges to,
for example, reliably design and run a synthetic experiment or carry out a comprehensive
4. Overall, are we doing a good job preparing students who are ready to engage in and
succeed at statistical inquiry?
Register for the webinar at:
The zoom link for the webinar will be sent to you ahead of the session.