Upcoming seminars and workshops

Data Visualization in R - Intermediate Level

Learn how to make publication quality figures in R.

SSDA Data Visualization Challenge - Summer 2019

This Summer, participate in the @SSDA Data Visualization Challenge! Pre-register today to enter and submit your best story-telling research graphs by July 26th. The public votes (Jul 29th -Aug 2nd) for the top 10 finalists and faculty pick the top three visualizations.

CMSE 890-005: Applied Machine Learning in the Physical & Life Sciences

This special topics course addresses shallow and deep learning. Expect weekly in-class coding projects and a capstone project with poster presentation.

CMSE 890-310: GAPS, MISSTEPS, AND ERRORS IN STATISTICAL DATA ANALYSIS

A short 1-credit (4-week) course designed to: (i) discuss common misunderstandings & typical errors in the practice of statistical data analysis; and (ii) provide a mental toolkit for critically thinking about statistical methods and results.