Description from Organizers:
In this new one-day workshop, graduate students will learn about the pedagogy of UC Berkeley’s Data Science Education Program, an exciting area of curricular innovation. This workshop will cover some of the computational and statistical concepts that students learn in the Foundations of Data Science class (Data 8) and Principles and Techniques of Data Science (Data 100), as well as an overview of the connector courses and modules. It will also give experience using a cloud-based computing environment. 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.
- Overview of Data 8: inferential thinking, computational thinking, and data centered computing environment
- Introduction to Data 100: Principles and Techniques of Data Science
- Learn to create and teach assignments within the Jupyter notebook system
- Sample lectures & labs from applied courses (Humanities, Social Sciences, Natural Sciences, Engineering)
- Understand the infrastructure behind the pedagogy platform
- Incorporate scientific reproducibility practices
- Learn about the work and student teams in the Data Science Education program
Workshop registration: https://goo.gl/4j6FyH(link is external)
Contact: Eric Van Dusen email@example.com(link sends e-mail)
The Division of Data Sciences (http://data.berkeley.edu(link is external)) 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!