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The NSF funded projects FIRST-HEP and IRIS-HEP strives to create a highly visible model and framework for future software training evolution within the U.S. and international HEP (High Energy Physics) communities. Its plan includes a dedicated outreach activity on software training to the local Puerto Rico STEM teachers. The most effective way for FIRST-HEP to reach K-12 students and parents is to train teachers in the basics of computing and its vital role in science. To achieve above goal a two 2-day workshop is organized for K-12 teachers at UPR Mayaguez to teach basics of Machine Learning. This is 4th workshop in a series that began in April 2019. We expect this will encourage the teachers and school authorities to consider incorporating the basic software carpentries into the high school curriculum.
Tutors and Team Members:
Arianna Colon-Cesani, Brian Cruz, Guillermo Fidalgo, Alvaro Guerrero, Yarelis Acevedo