Open R and Python-based Digital Tools in Statistics, Random Processes, and Metrology

Abstract

In the contribution, we present our ideas supported by almost ten years of experience successfully applying and combining pedagogy with open digital technology in teaching university courses on statistics, random processes, and metrology. Our approach relies on open R and Python data science tools and innovative teaching strategies - an interdisciplinary STEM approach with blended learning. Simultaneously, we show that the given approach helps students acquire digital and computational skills immediately applicable to actual scientific work, as demonstrated within our research.