Fall 2022 Schedule

We have an exciting array of speakers lined up this semester! Please feel free to join even if you are not in the class (space permitting). We will also occasionally have remote speakers in which case anyone can join via Zoom (pass: "data").

Aug 30 Enrique Nueve, CU CS
Sep 6 Martha Morrissey, Pachama
Sep 13 Natalie Coston, Lumen
Sep 20 Danielle Lyles, CU Office of Data Analytics
Sep 27 Katie Fankhauser, CU Environmental Engineering
Oct 4 Student Presentations
Oct 10 TBD
Oct 17 TBD
Oct 24 Manuel Lladser, CU Applied Math
Oct 31 Vikas Nataraja, CU LASP
Nov 1 Mike Mozer, CU CS + Google Brain
Nov 8 Kate Bubar, CU Applied Math
Nov 15 Tzu-Chi Yen, CU CS
Nov 22 Fall Break
Nov 29 Student presentations! Pre-rec due day before (Nov 28)
Dec 6 Student presentations!

Educational Mission

Our primary goal is educational: to get hands on experience working in teams applying modern machine learning tools to real problems with real data. As part of this goal, we compete in internal prediction challenges, as well as represent CU Boulder in global competitions as seen on Kaggle, DrivenData, Quantopian, and other platforms. The team has an official 1-credit companion course as well.

Meet a Data Scientist (MADS) Series

Every meeting (Tuesdays @ 5pm), we begin by hearing from a practicing data scientist or data science researcher. Talks are usually 10-15 minutes, and give students a glimpse of the breadth of data science in practice, beyond classroom projects and competitions, and the diversity in the types of data, techniques, and applications. Researchers often share techniques they are developing, or how they use existing techniques to advance scientific knowledge; practicing data scientists often share their experiences about what works and when it works. Talks are typically aimed toward beginner and intermediate students, with some technical details for the more advanced students.

Want to Learn More?

Sign up for our Slack channel and the 1-credit companion course.