Data Science

Data Science Workshops

Learn data science concepts, pedagogical methods, and technical tools, and get help integrating them into your teaching, whether it's creating a stand-alone data science connector course or incorporating a module into an existing course. This series of workshops focuses on different related topics of interest.

2018 Teaching and Research Resource Fair

April 12, 2018, 11:00am
Join us for our second annual AIS-palooza. Connect with service providers and academic support units from across campus to learn about resources that are available to all UCB instructors and researchers. Schedule a consultation to improve your teaching, learn about exciting new tools to engage students and speed grading, secure your research data, create more inclusive classrooms, and more.
Registration is unavailable.

Reflections on Teaching Data Science

November 30, 2018, 11:00am
An end-of-semester event for reflecting on teaching Data Science at Berkeley, with a special but not exclusive focus on Connector courses.
Registration is not required.

Data Science Education Program

The Data Science Education Program is part of the new Division of Data Sciences at Berkeley. The program helps undergraduates from all fields to engage capably and critically with data and be better prepared for a data-rich world. The comprehensive curriculum includes a path-breaking foundational course, a constellation of innovative connector courses that allow students to explore real-world issues through their interests, and more intermediate and advanced courses for learning complex concepts and approaches. 

Data Science Summer Short Courses for Instructors

The Division of Data Sciences (http://data.berkeley.edu) supports instructors in learning and incorporating data science approaches. We are offering three summer workshops and two programs of course development resources.  Please let us know about your interests and needs!

Human Contexts and Ethics (HCE) for Data Science

June 11, 2018, 10:00am
This two-day workshop aims to encourage and support instructors across the disciplines to develop new courses and transform existing ones to meet a requirement for students to learn about the human, social, and ethical contexts in which data analytics and computational inference play a central role. The workshop will discuss the framing of the HCE requirement, review experience so far, and give support in developing new modes of pedagogy. We’ll cover approaches such as case studies, historical examples, data sources, and exercises.
See event details for participation information.

Data Science Pedagogy and Practice

June 4, 2018, 9:00am
Learn data science concepts, pedagogical methods, and technical tools, and get help integrating them into your own practice. This workshop covers some of the computational and statistical concepts that students learn in the Foundations of Data Science class (Data 8) through hands-on analysis of real-world data. It will support instructors from all disciplines in exploring how to teach courses that can connect with and enrich this approach.
See event details for participation information.

Algorithmic Bias in Search and Research

May 8, 2018
As part of the Designing for Digital Literacy Series co-presented by the AIS, the Library, and the College Writing Program, a group of instructors, staff and librarians gathered on April 18, 2018 to discuss the implications of algorithmic bias for student research and learning. Librarian Cody Hennesy kicked off the conversation by outlining Safiya Noble’s research on how popular platforms such as Google and Facebook engage in technological redlining. This kind of work provides opportunities to help students connect discussions about scholarly resources with issues of bias and point of view in the broader information landscape.

Data Science Pedagogy Course for Graduate Students

June 8, 2018, 9:00am
In this new one-day workshop, graduate students will learn about the pedagogy of the Data Science Education Program, where UC Berkeley is leading in curricular innovation in this exciting area. Graduate students can use these skills to improve teaching, to imagine new types of teaching, and learn what resources are available. No previous programming or statistics experience needed.
See event details for participation information.

2018 Resource Fair Recap and Resources

April 15, 2018

In case you missed this year's Teaching and Research Resource Fair, here are some pictures and handouts from presenters, as well as the full schedule of events (click images below to enlarge).