Computing methods for experimental physics and data analysis
Code 360BB
Credits 9
Learning outcomes
:The goal of the lectures is to teach the students programming and computing techniques in the context of experimental and applied physics. The lectures are divided in three parts. The first two are useful for applied and experimental physics in general and cover basic techniques (collaboration tools, python language, classes and algorithms) and advanced ones (parallel computing and machine learning). The third and last module exists in two variants, one specific for High Energy Physics and the other for Medical Image Analysis