HCDS (Fall 2017): Difference between revisions

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Human Centered Data Science

DATA512 - Interdisciplinary Data Science Masters Program

Instructor: Jonathan T. Morgan

TA: Oliver Keyes

Course Website: We will use Canvas for announcements, turning in assignments, and discussion. Everything else will be linked on this page.

Course Description:

Fundamental principles of data science and its human implications. Data ethics, data privacy, differential privacy, algorithmic bias, legal frameworks and intellectual property, provenance and reproducibility, data curation and preservation, user experience design and usability testing for big data, ethics of crowdwork, data communication and societal impacts of data science.

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-:'''Community Data Science: Programming and Data Science for User Experience Research'''
+:'''Human Centered Data Science'''
-:'''HCDE598A''' - Department of Human Centered Design & Engineering
+:'''DATA512''' - Interdisciplinary Data Science Masters Program
 :'''Instructor:''' [http://jtmorgan.net Jonathan T. Morgan]
+:'''TA:''' Oliver Keyes
 :'''Course Website''': We will use Canvas for [https://canvas.uw.edu/courses/1040891/announcements announcements], [https://canvas.uw.edu/courses/1040891/assignments turning in assignments], and [https://canvas.uw.edu/courses/1040891/discussion_topics discussion]. Everything else will be linked on this page.
 :'''Course Description:'''
-Success in many UX related roles, particularly user research, require workers to possess an understanding of data science concepts and to have facility with the tools of data analysis. This course introduces students to widely-adopted programming and data science tools to give them the skills to use data to answer questions about the characteristics, behaviors, and needs of people who use a wide variety of products.
+Fundamental principles of data science and its human implications. Data ethics, data privacy, differential privacy, algorithmic bias, legal frameworks and intellectual property, provenance and reproducibility, data curation and preservation, user experience design and usability testing for big data, ethics of crowdwork, data communication and societal impacts of data science.
 [[Category:HCDS (Fall 2017)]]