eCOTS 2018 - Program

Monday, May 21st

10:00 am - 11:00 am

Posters and Beyond 1A

11:00 am - 12:45 pm

Adapting and Adopting High Impact, Little Time (HILT) Activities to Clarify the Meanings of Key Words Used in Statistics

1:00 pm - 2:00 pm

The future of data science education is plain text

2:15 pm - 2:45 pm

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

3:00 pm - 3:30 pm

Data Science Education across the US and the National Academies

3:45 pm - 4:15 pm

Introducing Data Science Elements through Parallel Courses in Statistics and Computing

4:30 pm - 5:00 pm

Integrating Programming into Statistics Curricula

5:00 pm - 5:30 pm

Tech Talk: Teaching web scraping - Integrating data science into statistics

5:30 pm - 6:30 pm

Posters and Beyond 1B

Tuesday, May 22nd

10:00 am - 11:00 am

Posters and Beyond 2A

11:00 am - 12:45 pm

Statistical thinking in biological courses

1:00 pm - 2:00 pm

Data Science at Two-Year Colleges: Moving Forward

2:15 pm - 2:45 pm

A Project-Driven Introduction to Data Science

3:00 pm - 3:30 pm

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

3:45 pm - 4:15 pm

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

4:30 pm - 5:00 pm

GTA preparation from a Communities of Practice Perspective

5:00 pm - 5:30 pm

Tech Talk: Utilizing Free Resources to Advance Students Programming for Data Science Skills: Github Classroom

5:30 pm - 6:30 pm

Posters and Beyond 2B

Wednesday, May 23rd

10:00 am - 11:00 am

Posters and Beyond 3A

11:00 am - 12:45 pm

Multivariable thinking in algebra-based second courses

1:00 pm - 2:00 pm

Data Science for all!! Sure! But when, where, how, and why?

2:15 pm - 2:45 pm

Data Science and Intro Stat

3:00 pm - 3:30 pm

Pathways to Introductory Data Science

3:45 pm - 4:15 pm

Tidy Statistical Inference in R

4:30 pm - 5:00 pm

Is the Central Limit Theorem Still Central to the Introductory Course?

5:00 pm - 5:30 pm

Tech Talk: ggformula - A Less Volume, More Creativity approach to data visualization in R

5:30 pm - 6:30 pm

Posters and Beyond 3B

Thursday, May 24th

10:00 am - 11:00 am

Posters and Beyond 4A

11:00 am - 12:45 pm

Student-Made Interactive Learning with Educational Songs (SMILES)

1:00 pm - 1:30 pm

Introduction to CODAP: Free, Web-Based Data Analysis

1:30 pm - 2:00 pm

ASA Section on Statistical Education Mentoring Program

2:15 pm - 2:45 pm

Writing About Data: A Cross-Curricular Approach

3:00 pm - 3:30 pm

The Evolution of Regression Modeling

3:45 pm - 4:15 pm

Introductory Concepts in Data Mining with JMP

4:30 pm - 5:00 pm

Intro to R/Rstudio for High School/New Users

5:00 pm - 5:30 pm

Tech Talk: Frictionless onboarding to data science with RStudio Cloud

5:30 pm - 6:30 pm

Posters and Beyond 4B

Friday, May 25th

11:00 am - 11:30 pm

Teaching Data Ethics in an Introductory Statistics Course

11:30 am - 12:00 pm

Teaching Students Reproducibility

12:00 pm - 12:30 pm

Data Science: Just Breathe and Let it Fill the Space Between

12:30 pm - 1:00 pm

What recedes as data science rises?

1:00 pm - 1:30 pm

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

1:30 pm - 1:40 pm

Closing Session

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.