Online Format for Summer 2021
- One day Bootcamp on teaching a Data 8 style fundamentals class
- Office hours from the Berkeley professors and student staff and Labs for Data 8, Data 100 and Data Science Modules
- Panels and discussions on a variety of topics Wednesday to Friday
- Read our Conference Welcome Letter
- The conference will be hosted online via Hopin
- Hopin Participants Guide / Hopin Speakers Guide
This workshop is organized by UC Berkeley's Division of Computing, Data Science, and Society with support from Microsoft and the West Big Data Innovation Hub.
Resources
Please take a look at our external-facing resources portal website with key links for instructors.
We also have a one-page handout summary guide to open-source resources. This short document will explain the curriculum and set of technologies developed at Berkeley.
Questions
Please feel free to contact us at ds-help@berkeley.edu with any questions or concerns on implementing a Data Science program at your institution. We would also like to invite you to join our slack channel at datascienceeducation.slack.com
Code of Conduct
We value the participation of each member of the community and want all attendees to have an enjoyable and fulfilling experience. Accordingly, all attendees are expected to show respect and courtesy to other attendees throughout the workshop and at all workshop events. Code of Conduct
Schedule (Schedule in Formation - all times are PDT)
Monday, June 14: Bootcamp for Instructors |
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9:00 AM |
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10:00 AM |
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11:00 AM |
A panel of Instructors teaching Fundamentals Classes at other institutions - Video Recording
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| 1:00 PM | Berkeley Data Stack - Infrastructure Overview - Chris Pyles, Yuvi Panda. - Video Recording |
| 2:00 PM | Advanced Lab (Data 8) - Yanay Rosen |
| 3:00 PM | Alternative Cloud Technology Options - Amal Bhatnagar and Justin Cheung - Video Recording |
Tuesday, June 15: Open Office Hours AMA and Labs with UC Berkeley Course Staff (10 AM-5 PM PDT) |
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8:00 AM |
Human Contexts and Ethics Workshop - {separate platform} - Margarita Boenig-Liptsin [Note - this is a separate platform - please sign up via Form to get Zoom Link] |
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10:00 AM |
Berkeley Data Science Program Overview - Michael Jordan - Video Recording |
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11:00 AM |
Data 6 - A new introductory course - Suraj Rampure - Video Recording |
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1:00 PM |
Data 100 - Principles of Data Science - Fernando Perez and Joey Gonzalez - Video Recording |
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2:00 PM |
Data Communication. - Video Recording
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3:00 PM |
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Wednesday, June 16: Live Virtual Panels (9 AM-5 PM PDT) |
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9:00 AM |
Human Contexts and Ethics Panel - Hear about new curriculum to introduce Data Science students to engage in social justice contexts. Video Recording
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11:00 AM |
California Alliance Panel - Overview of efforts at UC, CSU, and Community College levels including efforts to harmonize and articulate across institutions - Video Recording |
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1:30 PM |
Data 8 Adopters - Hear from adopters of Data 8 Curriculum at a range of institutions and contexts VIdeo Recording
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3:30 PM |
Lightning Talks [Presentations] & Expo Booths
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Thursday, June 17: Live Virtual Panels (9 AM-5 PM PDT) |
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9:00 AM |
High School Data Science - Evolution of high school curriculum to include Data Science - Video Recording
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11:00 AM |
National Efforts - Several networks and national efforts seek to coordinate and create synergies across institutions - Video Recording
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1:30 PM |
Technology for Teaching - Several technology options and innovations within Data Science education - Video Recording |
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3:30 PM |
Lightning Talks [Presentations] & Expo Booths
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Friday, June 18: Live Virtual Panels (9 AM-3 PM PDT) |
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9:00 AM |
Increasing Inclusion in Data Science - Efforts to increase the diversity of who is engaging in studying Data Science, with examples from Mills College, and UMBC - Video Recording
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11:00 AM |
Math for Data Science - A discussion of how Math courses can align with Data Science - Video Recording |
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1:30 PM |
Data Science Capstone Projects - Overview of efforts to give students project-based experience within Data Science - Video Recording
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Staff Organizers
Eric Van Dusen
Anthony Suen
Student Team
