Data Analysis and Machine Learning Applications Curriculum for Open Science

Anonymous

Abstract: The strong and growing role of machine learning (ML) in the physical sciences is well established and appropriate given the complex detectors and large data sets at the foundational layer of many scientific explorations. Increasingly, Physics departments are offering curricula to their undergraduate and graduate students that focus on the intersection of data science, machine learning and physical science. In this paper, we provide some perspective from experience in developing curriculum at the intersection of ML and physics on the potential role of open science in ML education and present some of the opportunities and challenges in the form of open questions for our community to explore.