Editing HCDS (Fall 2017)
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;Human Centered Data Science: [https://sdb.admin.uw.edu/timeschd/uwnetid/sln.asp?QTRYR=AUT+2017&SLN=23273 DATA 512] - [https://www.datasciencemasters.uw.edu/ UW Interdisciplinary Data Science Masters Program] - Thursdays 5:00-9:50pm in [http://www.washington.edu/maps/#!/den Denny Hall] 112. | ;Human Centered Data Science: [https://sdb.admin.uw.edu/timeschd/uwnetid/sln.asp?QTRYR=AUT+2017&SLN=23273 DATA 512] - [https://www.datasciencemasters.uw.edu/ UW Interdisciplinary Data Science Masters Program] - Thursdays 5:00-9:50pm in [http://www.washington.edu/maps/#!/den Denny Hall] 112. | ||
; | ;Instructor: [http://jtmorgan.net Jonathan T. Morgan] | ||
; | ;TA: Oliver Keyes | ||
;Course Website: | ;Course Website: We will use Canvas for [https://canvas.uw.edu/courses/1174178/announcements announcements] and [https://canvas.uw.edu/courses/1174178/discussion_topics posting reading reflections], GitHub and Jupyter Hub for turning in other assignments, and Slack for Q&A and general discussion. All other course-related information will be linked on this page. | ||
;Course Description: Fundamental principles of data science and its human implications. Data ethics, data privacy, algorithmic bias, legal frameworks, provenance and reproducibility, data curation and preservation, user experience design and research for big data, ethics of crowdwork, data communication, and societal impacts of data science.<ref>https://www.washington.edu/students/crscat/data.html#data512</ref> | ;Course Description: Fundamental principles of data science and its human implications. Data ethics, data privacy, algorithmic bias, legal frameworks, provenance and reproducibility, data curation and preservation, user experience design and research for big data, ethics of crowdwork, data communication, and societal impacts of data science.<ref>https://www.washington.edu/students/crscat/data.html#data512</ref> | ||
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* Discuss and evaluate ethical, social and legal trade-offs of different data analysis, testing, curation, and sharing methods | * Discuss and evaluate ethical, social and legal trade-offs of different data analysis, testing, curation, and sharing methods | ||
== Schedule == | == Schedule == | ||
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== Assignments == | == Assignments == | ||
'' | ''[[HCDS (Fall 2017)/Assignments]]'' | ||
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Graded assignments (click to expand) | |||
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<!--== Readings == | <!--== Readings == | ||
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== Administrative notes == | |||
=== Grading === | |||
Grades will be determined as follows: | |||
* 20% in-class work | |||
* 20% readings/reading groups | |||
* 60% assignments | |||
Late assignments will not be accepted after the first week of class. In-class work and class participation cannot be made up. If you miss a class, you will receive a zero for the work done in class that day. Please do not ask the professor or TA what you missed during class; check the website or ask a classmate. Required posts to the class discussion board must be made before the due date or you will receive a zero for that work. | |||
Final projects cannot be turned in late. | |||
== Policies == | == Policies == | ||
The following general policies apply to this course | The following general policies apply to this course: | ||
=== Respect === | === Respect === | ||
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# Cleveland Indians | # Cleveland Indians | ||
# Atlanta Braves | # Atlanta Braves | ||
=== Attendance and participation === | === Attendance and participation === | ||
Students are expected to attend class regularly. If you run into a conflict that requires you to be absent (for example, medical issues) feel free to reach out to the instructors. We will do our best to ensure that you don’t miss out, and treat your information as confidential. | Students are expected to attend class regularly. If you run into a conflict that requires you to be absent (for example, medical issues) feel free to reach out to the instructors. We will do our best to ensure that you don’t miss out, and treat your information as confidential. | ||
Active participation in class activities is one of the requirements of the course. You are expected to engage in group activities, class discussions, interactions with your peers, and constructive critiques as part of the course work. This will help you hone your communication and other professional skills. Correspondingly, working in groups or on teams is an essential part of all data science disciplines. As part of this course, you will be asked to provide feedback of your peers' work. | Active participation in class activities is one of the requirements of the course. You are expected to engage in group activities, class discussions, interactions with your peers, and constructive critiques as part of the course work. This will help you hone your communication and other professional skills. Correspondingly, working in groups or on teams is an essential part of all data science disciplines. As part of this course, you will be asked to provide feedback of your peers' work. | ||
=== Assignments and coursework === | === Assignments and coursework === | ||
Students are expected to adhere to rules around academic integrity. Simply stated, academic integrity means that you are to do your own work in all of your classes, unless collaboration is part of an assignment as defined in the course. In any case, you must be responsible for citing and acknowledging outside sources of ideas in work you submit. Please be aware of the HCDE Department's and the UW's policies on this: [https://www.hcde.washington.edu/policies/plagiarism-and-academic-conduct HCDE Academic Conduct]. These will be strictly enforced. | |||
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. | 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. | 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. | ||
=== Disability and accommodations === | === Disability and accommodations === |