Physics and Astronomy Department<\/a> since January 2020, will use the computing time to train students in his introductory physics course in numerical problem-solving techniques. The grant provides access to 100,000 CPU hours of computational time on the JetStream architecture, with an estimated value of $2000.<\/p>\n\u201cLearning to code a computer to solve scientific problems is an indispensable part of physics education,\u201d says Ghosh. \u201cBut often students do not get an opportunity to learn this skill until their higher-level undergraduate classes. There is a very steep learning curve by that time that can be discouraging to some students. This course will give the students an opportunity to get acquainted with scientific programming at the earliest possible stage of their physics curriculum.\u201d
\nStudents in Ghosh\u2019s course will remotely run codes in the Python programming language, using a JupyterHub computational environment. They will learn techniques such as root finding, numerical integration, and solving differential equations.<\/p>\n
\u201cProfessor Ghosh\u2019s expertise is in gravitational-wave data analysis, and he brings a depth of knowledge about high-performance computing to our department,\u201d says Marc Favata, chairperson of the Physics and Astronomy Department. \u201cGetting introductory physics students deeply involved with computational thinking is an ambitious but important goal. I\u2019m very glad to see that he is already finding ways to use his expertise to improve the training of our students.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"
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