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DTSTAMP:20211023T220750Z
UID:20211023T200750-1158921437@www.mn.uio.no
DTSTART:20210928T120000Z
DTEND:20210928T130000Z
LOCATION:Zoom
DESCRIPTION:Statistics courses typically come in two different flavors: 1) A first type of course seeks deep understanding based on mathematical reasoning and proofs. 2) A second type of course focuses on practical applications, primarily based on fixed recipes without delving into underlying details. 3) I will here propose a third way, which seeks understanding of fundamental concepts, but through programming and simulation instead of mathematical proofs. This third way is thus geared towards students that have a stronger background in programming than mathematics, and that seek to understand the fundamentals as a basis for developing statistical analyses and data science methodology. This third way would also exploit its basis in programming to promote self-driven exploration, drawing inspiration from how computing has been integrated into science education through the long-running CSE initiative. I will provide examples ranging from how to explore the central limit theorem to performing Bayesian marginalization.
SUMMARY:Geir Kjetil Sandve: A simulation-based approach to learning statistics?
URL:https://www.mn.uio.no/ccse/english/about/news-and-events/events/the-bi-weekly-odd-seminar-series-at-ccse/2021/odd-seminar-28092021.html
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