Editing Workshops and Classes
From CommunityData
Warning: You are not logged in. Your IP address will be publicly visible if you make any edits. If you log in or create an account, your edits will be attributed to your username, along with other benefits.
The edit can be undone. Please check the comparison below to verify that this is what you want to do, and then publish the changes below to finish undoing the edit.
Latest revision | Your text | ||
Line 31: | Line 31: | ||
* '''[Fall 2021]''' '''[[DUB Seminar (Fall 2021)|HCID590: Design, Use, Build (DUB) Seminar]]''' — A one-credit course in the [https://mhcid.washington.edu/ MHCI+D program at UW] built around the [https://dub.washington.edu/seminar.html DUB Seminar] speakers series. Taught by [[User:Mako|Benjamin Mako Hill]]. | * '''[Fall 2021]''' '''[[DUB Seminar (Fall 2021)|HCID590: Design, Use, Build (DUB) Seminar]]''' — A one-credit course in the [https://mhcid.washington.edu/ MHCI+D program at UW] built around the [https://dub.washington.edu/seminar.html DUB Seminar] speakers series. Taught by [[User:Mako|Benjamin Mako Hill]]. | ||
* '''[Spring 2021]''' '''[[Human_Data_Interaction|HCDE 410: Human Data Interaction]]''' — A quarter-long survey course that builds data science literacy among undergraduate students across a spectrum of educational backgrounds and professional goals, anchored in the principles and methods of human centered design. Students will gain critical understanding of data-driven algorithmic systems and their implications through readings and written reflections, collaborative in-class activities and group discussions, and hands-on research and programming activities. Under development by [[User:Jtmorgan|Jonathan T. Morgan]] and [https://www.hcde.washington.edu/craft Brock Craft]. | * '''[Spring 2021]''' '''[[Human_Data_Interaction|HCDE 410: Human Data Interaction]]''' — A quarter-long survey course that builds data science literacy among undergraduate students across a spectrum of educational backgrounds and professional goals, anchored in the principles and methods of human centered design. Students will gain critical understanding of data-driven algorithmic systems and their implications through readings and written reflections, collaborative in-class activities and group discussions, and hands-on research and programming activities. Under development by [[User:Jtmorgan|Jonathan T. Morgan]] and [https://www.hcde.washington.edu/craft Brock Craft]. |