USCOTS 2019 - Workshops

Tuesday May 14th, 1:00 pm – 2 day(s)

W01: Moving past p-values: stats for data science

With Danny Kaplan (Macalester College)

W02: A core curriculum for undergraduate data science

With Todd Iverson, Silas Bergen, Brant Deppa, Tisha Hooks, April Kerby and Chris Malone (Winona State University)

Wednesday May 15th, 8:30 am – 1.5 day(s)

W03: Doing is believing: increasing student buy-in for introductory statistics

With Kristin Flaming and Lisa Dierker (Wesleyan University)

Wednesday May 15th, 1:00 pm – 1 day(s)

W04: moderndive: statistical inference using the tidyverse

With Albert Y. Kim, Jordan Moody, Ziwei "Crystal" Zang, & Starry Zhou (Smith College)

W05: Evidence and uncertainty: a modeling and simulation-based approach to statistical inference

With Andrew Zieffler & Michael Huberty (University of Minnesota), Jason Dolor, Kit Clement, & Jennifer Noll (Portland State University)

Thursday May 16th, 1:00 pm – 0.5 day(s)

W06: Teaching introductory statistics in a digital world

With Bernadette Lanciaux (Rochester Institute of Technology)

W07: Developing understanding of civic statistics: the important things we miss in Stat 101/102

With Iddo Gal (University of Haifa, Israel), Jim Ridgway & James Nicholson (Durham University, UK)

W08: Updating undergraduate courses to include Bayesian inference

With Matt Brems & Tim Book (General Assembly)

W09: Teaching with simulation-based inference – for beginners

With Robin Lock & Patti Frazer Lock (St. Lawrence University), Kari Lock Morgan (Pennsylvania State University)

W10: Using CODAP to introduce data science at the pre-college level

With William Finzer (The Concord Consortium)

W11: Statistical literacy: evaluating evidence from observational studies

With Milo Schield (Augsburg University)

Legend

Birds of a Feather
Breakout
Keynote / Panel
Workshop
Poster Session
Tech Talk
Sponsored
Other

※ Denotes tentative session.

* Denotes repeated session.

Note: All times are listed in Eastern Time.