Machine Learning Basics for STEM teachers

→ America/Puerto_Rico
Zoom Only (UPRM, Mayaguez, Puerto Rico)

Zoom Only

UPRM, Mayaguez, Puerto Rico
Alvaro Javier Guerrero Laos (University of Puerto Rico (PR)), Arianna Colón Cesaní (University of Puerto Rico (PR)), Brian Omar Cruz Rodriguez (University of Puerto Rico (PR)), Guillermo Antonio Fidalgo Rodriguez (University of Puerto Rico at Mayagüez), Pedro Rivera-Cardona (University of Puerto Rico (PR)), Sudhir Malik (University of Puerto Rico (PR))
Description

Registration is open

Place: Virtual

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

Contact
Participants
  • Alexis Aguirre
  • Alvaro Guerrero Laos
  • Anirban Saha
  • Antonio Vega
  • Arianna Colon Cesani
  • Brian Cruz
  • Danelix Cordero-Rosario
  • Edgar Albelo
  • Guillermo Antonio Fidalgo Rodriguez
  • Harold Guerrero
  • Hugo J Delgado-Martí
  • Jacqueline Lopez
  • Jose Perez
  • Julian Augusto Salinas
  • Julio Amaro
  • marisol Sánchez
  • Mauricio Matta
  • Nainul Mishra
  • NYDIA E LIZARDI
  • Raquel Vazquez
  • Sudhir Malik
  • Yarelis Acevedo