Editing Human Centered Data Science (Fall 2019)
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;Human Centered Data Science: [https://myplan.uw.edu/course/#/courses/DATA512 DATA 512] - [https://www.datasciencemasters.uw.edu/program-details/courses-curriculum/course-descriptions/ UW Interdisciplinary Data Science Masters Program] - Thursdays 5:00-9:50pm in [https://www.washington.edu/maps/#!/tho Thompson Hall] room 134. | ;Human Centered Data Science: [https://myplan.uw.edu/course/#/courses/DATA512 DATA 512] - [https://www.datasciencemasters.uw.edu/program-details/courses-curriculum/course-descriptions/ UW Interdisciplinary Data Science Masters Program] - Thursdays 5:00-9:50pm in [https://www.washington.edu/maps/#!/tho Thompson Hall] room 134. | ||
;Principal instructor: [[User:Jtmorgan|Jonathan T. Morgan]] | ;Principal instructor: [[User:Jtmorgan|Jonathan T. Morgan]] | ||
;Co-instructor: | ;Co-instructor: | ||
;Course Website: ''This wiki page is the canonical information resource for DATA512.'' All other course-related information will be linked on this page. We will use '''[https://canvas.uw.edu/courses/1319253 Canvas]''' for announcements, file hosting, and submitting reading reflections, graded in-class assignments, and other programming and writing assignments. We will use '''[https://data512-aut19.slack.com Slack]''' for Q&A and general discussion. | ;Course Website: ''This wiki page is the canonical information resource for DATA512.'' All other course-related information will be linked on this page. We will use '''[https://canvas.uw.edu/courses/1319253 Canvas]''' for announcements, file hosting, and submitting reading reflections, graded in-class assignments, and other programming and writing assignments. We will use '''[https://data512-aut19.slack.com Slack]''' for Q&A and general discussion. | ||
;Course Description: [[Human Centered Data Science]] focuses on fundamental principles of data science and its human implications, including research ethics; data privacy; legal frameworks; algorithmic bias, transparency, fairness and accountability; data provenance, curation, preservation, and reproducibility; user experience design and research for big data; human computation; | ;Course Description: [[Human Centered Data Science]] focuses on fundamental principles of data science and its human implications, including research ethics; data privacy; legal frameworks; algorithmic bias, transparency, fairness and accountability; data provenance, curation, preservation, and reproducibility; user experience design and research for big data; human computation; data communication and visualization; and societal impacts of data science.<ref>https://www.washington.edu/students/crscat/data.html#data512</ref> | ||
== Overview and learning objectives == | == Overview and learning objectives == | ||
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=== Office hours === | === Office hours === | ||
* | * TA: TBD | ||
* Jonathan Morgan: Thursday | * Jonathan Morgan: Thursday 2:30 - 4:30 (Comm FIXME) and via Google Meet (by request) | ||
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=== Lecture slides === | === Lecture slides === | ||
Slides for weekly lectures will be available in PDF form on | Slides for weekly lectures will be available in PDF form on this wiki, generally within 24 hours of each course session | ||
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* [[:File:HCDS_2018_week_1_slides.pdf|Week 1 slides]] | * [[:File:HCDS_2018_week_1_slides.pdf|Week 1 slides]] | ||
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== Schedule == | == Schedule == | ||
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== Policies == | == Policies == | ||
The following general policies apply to this course. | The following general policies apply to this course. | ||
=== Respect === | |||
Students are expected to treat each other, and the instructors, with respect. Students are prohibited from engaging in any kind of harassment or derogatory behavior, which includes offensive verbal comments or imagery related to gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, or religion. In addition, students should not engage in any form of inappropriate physical contact or unwelcome sexual attention, and should respect each others’ right to privacy in regards to their personal life. In the event that you feel you (or another student) have been subject to a violation of this policy, please reach out to the instructors in whichever form you prefer. | |||
=== Attendance and participation === | === Attendance and participation === | ||
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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. | ||
If you miss class session, please do not ask the professor or TA what you missed during class; check the website or ask a classmate (best bet: use Slack). Graded in-class activities cannot be made up if you miss a class session | If you miss class session, please do not ask the professor or TA what you missed during class; check the website or ask a classmate (best bet: use Slack). Graded in-class activities cannot be made up if you miss a class session. | ||
=== Grading === | === Grading === | ||
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=== Conduct and safety === | === Conduct and safety === | ||
The University of Washington Student Conduct Code (WAC 478-121) defines prohibited academic and behavioral conduct and describes how the University holds students accountable as they pursue their academic goals. Allegations of misconduct by students may be referred to the appropriate campus office for investigation and resolution. More information can be found online at https://www.washington.edu/studentconduct/ | The University of Washington Student Conduct Code (WAC 478-121) defines prohibited academic and behavioral conduct and describes how the University holds students accountable as they pursue their academic goals. Allegations of misconduct by students may be referred to the appropriate campus office for investigation and resolution. More information can be found online at https://www.washington.edu/studentconduct/ | ||
This course takes place in the evening, during the darkest part of the year. Call SafeCampus at 206-685-7233 anytime – no matter where you work or study – to anonymously discuss safety and well-being concerns for yourself or others. SafeCampus’s team of caring professionals will provide individualized support, while discussing short- and long-term solutions and connecting you with additional resources when requested. | This course takes place in the evening, during the darkest part of the year. Call SafeCampus at 206-685-7233 anytime – no matter where you work or study – to anonymously discuss safety and well-being concerns for yourself or others. SafeCampus’s team of caring professionals will provide individualized support, while discussing short- and long-term solutions and connecting you with additional resources when requested. |