Editing Data Into Insights (Spring 2021)
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* Exceed requirements, but in fairly straightforward ways - e.g., an additional post in discussion every week. | * Exceed requirements, but in fairly straightforward ways - e.g., an additional post in discussion every week. | ||
* Compose complete and sufficiently detailed reflections. | * Compose complete and sufficiently detailed reflections. | ||
* Complete | * Complete many of the homework assignments. | ||
C: This reflects meeting the minimum expectations of the course. Students reaching this level of achievement | C: This reflects meeting the minimum expectations of the course. Students reaching this level of achievement | ||
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* Be collegial and continue discussion, through asking simple or limited questions. | * Be collegial and continue discussion, through asking simple or limited questions. | ||
* Compose reflections with straightforward and easily manageable goals and/or avoid discussions of challenges. | * Compose reflections with straightforward and easily manageable goals and/or avoid discussions of challenges. | ||
* Not complete homework assignments or turn | * Not complete homework assignments or turn some in in a hasty or incomplete manner. | ||
D/F: These are reserved for cases in which students do not complete work or participate. Students may also be impeding the ability of others to learn. | D/F: These are reserved for cases in which students do not complete work or participate. Students may also be impeding the ability of others to learn. | ||
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* Salganik, M. (2017). [https://www.bitbybitbook.com/en/ethics/ethics-intro/ Chapter 6: Ethics] from ''Bit by Bit''. | * Salganik, M. (2017). [https://www.bitbybitbook.com/en/ethics/ethics-intro/ Chapter 6: Ethics] from ''Bit by Bit''. | ||
* Kassner, M. [https://www.techrepublic.com/article/5-ethics-principles-big-data-analysts-must-follow/ 5 ethics principles big data analysts must follow] | * Kassner, M. [https://www.techrepublic.com/article/5-ethics-principles-big-data-analysts-must-follow/ 5 ethics principles big data analysts must follow] | ||
* McNulty, K. (2018). [https:// | * McNulty, K. (2018). [https://towardsdatascience.com/beware-of-storytelling-with-data-1710fea554b0 Beware of 'storytelling' in data and analytics] | ||
* (Optional) Steinmann, M., Matei, S. A., & Collmann, J. (2016). A Theoretical Framework for Ethical Reflection in Big Data Research. (On Brightspace) | * (Optional) Steinmann, M., Matei, S. A., & Collmann, J. (2016). A Theoretical Framework for Ethical Reflection in Big Data Research. (On Brightspace) | ||
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'''Readings:''' | '''Readings:''' | ||
* Re-read McNulty, K. (2018). [https:// | * Re-read McNulty, K. (2018). [https://towardsdatascience.com/beware-of-storytelling-with-data-1710fea554b0 Beware of 'storytelling' in data and analytics] and reflect on how you see this differently now that you know more about data storytelling | ||
'''Topics:''' | '''Topics:''' |