eCOTS 2018 - Breakouts

Monday, May 21st

Undergraduate Data Science Pathways: What is Needed for Entry and Success?

With Nicholas Horton, Roxy Peck, & Rebecca Hartzler (Amherst College)

Introducing Data Science Elements through Parallel Courses in Statistics and Computing

With Eric Reyes & Megan Heyman (Rose-Hulman Institute of Technology)

Tuesday, May 22nd

A Project-Driven Introduction to Data Science

With Karl Schmitt (Valparaiso University)

Teaching Data Science, Statistical Thinking, and Collaboration using Team-Based Learning

With Eric Vance (LISA-University of Colorado Boulder)

Research Skills for All: Introducing Statistical Research Methodology to Early Undergraduates at Carnegie Mellon

With Peter E. Freeman (Carnegie Mellon University)

GTA preparation from a Communities of Practice Perspective

With Nicola Justice (Pacific Lutheran University)

Wednesday, May 23rd

Data Science and Intro Stat

With Kari Lock Morgan (Pennsylvania State University)

Tidy Statistical Inference in R

With Andrew Bray (Reed College)

Thursday, May 24th

Writing About Data: A Cross-Curricular Approach

With Brianna Kurtz & Sarah Jensen (Crooms Academy of Information Technology)

Friday, May 25th

Teaching Students Reproducibility

With Amelia McNamara (Smith College)

Overcoming Fears (my own) Teaching Reproducible Research, Big Data and Data Mining

With Melinda Higgins (Emory)

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.