Workshop draft, linked on page

berkeley-cdss · Aug 14, 2024 · a25ec48 · a25ec48
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diff --git a/README.md b/README.md
@@ -66,6 +66,11 @@ We run a monthly lunch for EECS, Data Science, and Statistics TAs and instructor
 * All Tools Lunches Slides (requires UC Berkeley log-in): [[link](https://drive.google.com/drive/folders/1IEKKlv2f8ibPgFQPbAPjOkKzw5cgUzdz?usp=drive_link)]
 * If you're a faculty member or staff affiliated with RTL and CDSS and you'd like to join our invitation list, please contact the Seamless Learning co-PIs.
 
+### Seamless Learning Workshops
+
+* June 2024: Custom Course Tools
+* August 2024: Accessibility. [Workshop page](/accessibility)
+
 ### Informational Spreadsheets
 
 If you'd like access to any of the below spreadsheets, please contact the Seamless Learning Co-PIs:

diff --git a/accessibility.md b/accessibility.md
@@ -5,13 +5,14 @@
 * **Times**: 10:10am - 5:30pm
 * **Location**: Soda 380, online by request
 * **Organizers**: Professors Michael Ball and Lisa Yan, EECS and Data Science
-* This workshop is open to all UC Berkeley EECS/Data Science/Statistics ASEs, even if you did not register. If you did not register ahead of time but are interested in attending, please send Michael and Lisa an email or Slack message so that (at minimum) we can plan for extra food.
 
-Workshop Goals: 
+**Attendance**: This workshop is open to all UC Berkeley EECS/Data Science/Statistics ASEs, even if you did not register. If you did not register ahead of time but are interested in attending, please send Michael and Lisa an email or Slack message so that (at minimum) we can plan for extra food.
+
+**Workshop Goals**: 
 * Know what assistive technologies are.
 * Understand WCAG and accessibility guidelines and compliance processes on campus.
 * Successfully make compliant formats of an entire course website OR a chunk of course materials, e.g., 4 weeks of the semester.
-* Determine processes creating accessibility-compliant web material for other aspects of your course.
+* Determine processes creating accessibility-compliant web material for other aspects of your course for the current semester and going forward.
 * Contribute to the set of go-to solutions that can be applied to similar classes in EECS, Data Science, and Statistics.
 
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