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Human Centered Data Science (Fall 2018)
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=== Assignments and coursework === Grades will be determined as follows: * 20% in-class work * 20% reading reflections * 60% assignments You are expected to produce work in all of the assignments that reflects the highest standards of professionalism. For written documents, this means proper spelling, grammar, and formatting. Late assignments will not be accepted; if your assignment is late, you will receive a zero score. Again, if you run into an issue that necessitates an extension, please reach out. Final projects cannot be turned in late and are not eligible for any extension whatsoever.
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Please note that all contributions to CommunityData are considered to be released under the Attribution-Share Alike 3.0 Unported (see
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