Editing User:Groceryheist/drafts/Data Science Syllabus
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;Course Title: Data Science and Organizational Communication: | ;Course Title: Data Science and Organizational Communication: | ||
; | ;Principal instructor: [[User:Groceryheist|Nate TeBlunthuis]] | ||
;Course Catalog Description: Fundamental principles of data science and its implications, including research ethics; data privacy; legal frameworks; algorithmic bias, transparency, fairness and accountability; data provenance, curation, preservation, and reproducibility; human computation; data communication and visualization; the role of data science in organizational context and the societal impacts of data science. | ;Course Catalog Description: Fundamental principles of data science and its implications, including research ethics; data privacy; legal frameworks; algorithmic bias, transparency, fairness and accountability; data provenance, curation, preservation, and reproducibility; human computation; data communication and visualization; the role of data science in organizational context and the societal impacts of data science. | ||
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;Homework assigned | ;Homework assigned | ||
* | * A5: Final presentation | ||
<!-- ;Resources --> | <!-- ;Resources --> | ||
<!-- *Fabien Girardin. ''[https://medium.com/@girardin/experience-design-in-the-machine-learning-era-e16c87f4f2e2 Experience design in the machine learning era].'' Medium, 2016. --> | <!-- *Fabien Girardin. ''[https://medium.com/@girardin/experience-design-in-the-machine-learning-era-e16c87f4f2e2 Experience design in the machine learning era].'' Medium, 2016. --> | ||
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;Assignments due | ;Assignments due | ||
* | * A5: Final presentation | ||
<!-- ;Agenda --> | <!-- ;Agenda --> | ||
<!-- {{:HCDS (Fall 2018)/Day 11 plan}} --> | <!-- {{:HCDS (Fall 2018)/Day 11 plan}} --> | ||
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;Homework assigned | ;Homework assigned | ||
* | * A6: Final project report (by 11:59pm) | ||
<!-- ;Resources --> | <!-- ;Resources --> | ||
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=== Week 12: Finals Week (No Class Session) === | === Week 12: Finals Week (No Class Session) === | ||
* NO CLASS | * NO CLASS | ||
* | * A6: FINAL PROJECT REPORT DUE BY 11:59PM | ||
<!-- * LATE PROJECT SUBMISSIONS NOT ACCEPTED. --> | <!-- * LATE PROJECT SUBMISSIONS NOT ACCEPTED. --> | ||
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:''Critique in terms of improving the analysis :'' 10% | :''Critique in terms of improving the analysis :'' 10% | ||
:''Critique in terms of application :'' 10% | :''Critique in terms of application :'' 10% | ||
:''Writing quality (see [[ | :''Writing quality (see [[Assessment#Writing Rubric | the writing rubric]]): 15%'' | ||
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==== Evaluation and Rubric ==== | ==== Evaluation and Rubric ==== | ||
:''Writing quality (see [[ | :''Writing quality (see [[Assessment#Writing Rubric | the writing rubric]]): 15%'' | ||
:''Explaination and justification of a research question:'' 15% | :''Explaination and justification of a research question:'' 15% | ||
:''Presentation of evidence:'' 25% | :''Presentation of evidence:'' 25% | ||
:''Findings:'' 25% | :''Findings:'' 25% | ||
:''Recommendations to the organization:'' 20% | :''Recommendations to the organization:'' 20% | ||
:''Course feedback (Extra credit):'' | :''Course feedback (Extra credit):'' 5% | ||
== Policies == | == Policies == | ||
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=== Attendance === | === Attendance === | ||
As detailed in [[ | As detailed in [[Teaching Assessment | my page on assessment]], attendance in class is expected of all participants. If you need to miss class for any reason, please contact a member of the teaching team ahead of time (email is best). Multiple unexplained absences will likely result in a lower grade or (in extreme circumstances) a failing grade. In the event of an absence, you are responsible for obtaining class notes, handouts, assignments, etc. | ||
=== Respect === | === Respect === |