Difference between revisions of "Workshops and Classes"

From CommunityData
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* '''[Spring 2017]''' '''[[Community Data Science Course (Spring 2017) |COM597I: Community Data Science: Programming and Data Science for Social Media]]''' — A quarter long course taught by [[User:Guyrt|Tommy Guy]] that adapts and builds upon the [[CDSW]] curriculum to teach introductory programming and data science to absolute beginners in the context of the [http://commlead.uw.edu/ University of Washington's Communication Leadership program].
 
* '''[Spring 2017]''' '''[[Community Data Science Course (Spring 2017) |COM597I: Community Data Science: Programming and Data Science for Social Media]]''' — A quarter long course taught by [[User:Guyrt|Tommy Guy]] that adapts and builds upon the [[CDSW]] curriculum to teach introductory programming and data science to absolute beginners in the context of the [http://commlead.uw.edu/ University of Washington's Communication Leadership program].
  
* '''[Winter 2017]''' '''[[Statistics and Statistical Programming (Winter 2017) |COM521: Statistics and Statistical Programming]]''' — A quarter-long quantitative methods course that builds a first-quarter introduction to quantitative methodology and that focuses on both the more mathematical elements of statistics as well as the nuts-and-bolts of statistical programming in the GNU R programming language.
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* '''[Winter 2017]''' '''[[Statistics and Statistical Programming (Winter 2017) |COM521: Statistics and Statistical Programming]]''' — A quarter-long quantitative methods course that builds a first-quarter introduction to quantitative methodology and that focuses on both the more mathematical elements of statistics as well as the nuts-and-bolts of statistical programming in the GNU R programming language. Taught by [[User:Mako|Benjamin Mako Hill]].
  
 
* '''[Fall 2016]''' '''[[Building Successful Online Communities (Fall 2016)|COM597A: Building Successful Online Communities]]''' — A quarter-long course taught by [[User:Benjamin Mako Hill|Benjamin Mako Hill]] on online communities and computer mediated communication with an emphasis on learning from research in social psychology, sociology, and behavioral economics. The course is taught in the [http://commlead.uw.edu/ University of Washington's Communication Leadership program].
 
* '''[Fall 2016]''' '''[[Building Successful Online Communities (Fall 2016)|COM597A: Building Successful Online Communities]]''' — A quarter-long course taught by [[User:Benjamin Mako Hill|Benjamin Mako Hill]] on online communities and computer mediated communication with an emphasis on learning from research in social psychology, sociology, and behavioral economics. The course is taught in the [http://commlead.uw.edu/ University of Washington's Communication Leadership program].
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== Northwestern Courses & Workshop ==
 
== Northwestern Courses & Workshop ==
  
* '''[[Statistics and Statistical Programming (Spring 2019)]]''' —
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* '''[Spring 2019]''' '''[[Statistics and Statistical Programming (Spring 2019)| MTS525: Statistics and Statistical Programming]]''' — A quarter-long quantitative methods course that builds a first-quarter introduction to quantitative methodology and that focuses on both the more mathematical elements of statistics as well as the nuts-and-bolts of statistical programming in the GNU R programming language. Taught by [[User:Aaronshaw|Aaron Shaw]].
  
 
* '''[http://aaronshaw.org/teaching/2016/occ Online Communities & Crowds (COMMST 378, Fall 2016)]''' — This advanced undergraduate course presents an interdisciplinary introduction to the study of online communities and crowds, with a particular emphasis on how and why some of these systems are so wildly effective at mobilizing and organizing people in ways that seem to have been impossible a few decades ago.
 
* '''[http://aaronshaw.org/teaching/2016/occ Online Communities & Crowds (COMMST 378, Fall 2016)]''' — This advanced undergraduate course presents an interdisciplinary introduction to the study of online communities and crowds, with a particular emphasis on how and why some of these systems are so wildly effective at mobilizing and organizing people in ways that seem to have been impossible a few decades ago.

Revision as of 03:01, 21 March 2019

Public Workshops

Community Data Science Workshops — The Community Data Science Workshops (CDSW) are a series of workshops designed to introduce some of the basic tools of programming and analysis of data from online communities to absolute beginners. The CDSW have been held four times in Seattle in 2014 and 2015. So far, more than 80 people have volunteered their weekends to teach more than 350 people to program in Python, to build datasets from Web APIs, and to ask and answer questions using these data.

University of Washington Courses

  • [Fall 2017] DATA512: Human Centered Data Science — 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.
  • [Winter 2017] COM521: Statistics and Statistical Programming — A quarter-long quantitative methods course that builds a first-quarter introduction to quantitative methodology and that focuses on both the more mathematical elements of statistics as well as the nuts-and-bolts of statistical programming in the GNU R programming language. Taught by Benjamin Mako Hill.

Northwestern Courses & Workshop

  • [Spring 2019] MTS525: Statistics and Statistical Programming — A quarter-long quantitative methods course that builds a first-quarter introduction to quantitative methodology and that focuses on both the more mathematical elements of statistics as well as the nuts-and-bolts of statistical programming in the GNU R programming language. Taught by Aaron Shaw.
  • Online Communities & Crowds (COMMST 378, Fall 2016) — This advanced undergraduate course presents an interdisciplinary introduction to the study of online communities and crowds, with a particular emphasis on how and why some of these systems are so wildly effective at mobilizing and organizing people in ways that seem to have been impossible a few decades ago.
  • Introduction to Graduate Research (MTS 501, Fall 2016) — The first of two required seminars in the Media, Technology & Society (MTS) and Technology and Social Behavior (TSB) programs, this course introduces first year Ph.D. students to research skills and gives guidance on how to be a productive and responsible scholar.
  • The Practice of Scholarship (MTS 503, Spring 2016) — The second of two required seminars in the Media, Technology & Society (MTS) and Technology and Social Behavior (TSB) programs, the goal for this course is simple: submit a piece of academic research for publication by the end of the quarter. The course and assignments are structured to help students cultivate (more of) the skills, wisdom, and experience necessary to publish independent, original, and high-quality scholarship in relevant venues for their work. The experience will probably feel like a combination of a writing bootcamp and an extended group therapy session.