STRIDE Trainees Acquire Advanced Data Visualization Skills

 

 

 

One of the highlights of the innovative training program Science Training and Research to Inform DEcisions (STRIDE), trainees acquire interdisciplinary skills to assist, create, and eventually lead data-enabled research. As part of the training, graduate STEM students pursuing the 15-credit advanced graduate certificate, C-STRIDE, are required to enroll in CSE 564: Visualization.

 

This past semester, fall 2018, was the first iteration of a specialty Visualization course     which was tailored to

students who are not     pursuing a degree in Computer Science. In     preparation of the course, the Institute for   Advanced Computational Science offered a   two-day introductory bootcamp in the  programming language, Python. Over the course of 15 weeks with the support of   Professor Klaus Mueller and specialized  teaching  assistants, Ayush Kumar and Tyler   Estro, STRIDE trainees from areas such as   marine science, ecology and evolution, and   applied math and statistics were able to   transform their data into vivid, meaningful   graphs and visualizations.

 

 For the final project, the 10 STRIDE trainees   enrolled had to give presentations of their   visualizations. Prof. Mueller arranged to have a   panel of three guest judges and awarded   trophies to the top two visualizations. Ayush   Kumar, Darius Coelho, and Jun Wang served as   award judges. Lisa Prowant (Ecology &   Evolution) won the trophy for best project   award and Tara Dolan (School of Marine &   Atmospheric Sciences) took home the runner-up trophy.