Guest Post: Why Teach Machine Learning?

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Guest Post by Limor Wainstein– Why Teach Machine Learning? Teaching machines to learn about the real world has been a goal in computer science since Alan Turing first showed how to mechanise logic. But it’s only recently that affordable hardware has evolved enough speed and capacity to make the idea commercially feasible in many domains …

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NASEM Webinar 1: Data Acumen

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This webinar aimed to discuss how to build undergraduate’s “data acumen”. If acumen isn’t a word you use regularly (didn’t before last year), it means “the ability to make good judgments and quick decisions”. Data acumen therefore is the ability to make good judgments and quick decisions with data. Certainly a valuable and important skill for students …

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Webinar Summary: Data Science Education in Traditional Contexts

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Introduction This post is a summary and reflection on the webinar “Data Science Education in Traditional Contexts”. The webinar was hosted on Aug 28th by the South Big Data Innovation Hub as part of their Keeping Data Science Broad: Bridging the Data Divide series. You can watch the entire webinar here. The webinar consisted of 5 speakers …

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Keeping Data Science Broad-Webinar

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Please join me and other data science program directors for an educational webinar exploring undergraduate programs. Keeping Data Science Broad: Data Science Education in Traditional Contexts | Aug 31, 2017 | Virtual This webinar will highlight data science undergraduate programs that have been implemented at teaching institutions, community colleges, universities, minority-serving institutions, and more. The …

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A Computational Linear Algebra Course

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Within mathematics, Linear Algebra (LA) has held a long-standing importance. Many curriculums used it for decades as the first class in which students encountered proofs (though this has changed in recent years for a significant portion of programs). Many other disciplines like Meteorology, much of engineering, and others require at least some course in basic …

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(Other) Official Curriculum Guides

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Last week I discussed several places from which you could pull curriculum planning materials. This week will continue that theme, but with a bit more of an ‘official’ flavor, by discussing several professional societies’ curricular guides. While there is no (clear) leading data science professional society (and none with curricular guidelines to my knowledge), there …

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