Division News

News

May 9, 2018

May 2, 2018

A new tool on the block is rapidly shifting the future of how computing is taught in institutions, and UC Berkeley developers and professors are pioneering its integration into an increasing number of campus classrooms. Since first entering a single Berkeley classroom in 2015, the JupyterHub platform for UC Berkeley, called DataHub, is now being used by over 20 classes offered on campus. Thanks to this new platform, more students can find that the power to integrate computing into their education is easily at their fingertips.

April 17, 2018

Dear campus community,

We are writing with updates on Berkeley’s active engagement with the burgeoning and exciting field of data science, which has the potential to shape numerous fields of study and practice.

April 16, 2018

Looking for an on ramp to get started with data science which, according to LinkedIn, is one of the fastest growing job areas in the country?

April 13, 2018

The Library is provide leadership and peer support in the data sciences to undergraduates conducting research in an area such as data visualization, machine learning, text analysis, regression modeling, or other data science methods. Below are all the three data science related fellowship opportunties: 

April 11, 2018

Learn about exciting opportunities over summer with the Division of Data Sciences: 1) Data Science Pedagogy and Practice: A Short Summer Workshop 2) Graduate Student Introduction to Data Science Pedagogy 3) Human Contexts and Ethics (HCE) Workshop 4) Request Development Support for Data Science Modules 5) Proposals for Data Science Connector Courses (Fall or Spring)

April 9, 2018

Foundations of Data Science (STAT C8) will be available during the summer session! Foundations of Data Science, or Data 8, is Berkeley's innovative introduction to core concepts of programming and statistics. Get hands-on experience working with data while exploring real-world issues ranging from racial profiling to social networks to California water usage.

The course satisfies the L&S Quantitative Reasoning requirement and the statistics requirement in most majors that require statistics.

Session: Session C (June 18 - Aug 10)

Units: 4

Instructors: TDB

April 4, 2018

Berkeley’s undergraduate Data Science programs include a requirement for students to learn about the human, social, and ethical contexts in which data analytics and computational inference play a central role.

Human Contexts and Ethics (HCE) classes can be taught by instructors in different areas:

  • Instructors who address contextual and ethical issues directly in the many domain areas where data science is put to work

In this one-day workshop, graduate students will learn about the pedagogy of the Data Science Education Program. 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.

March 23, 2018

This opinion piece has been contributed by Lucy C. Erickson, Natalie Evans Harris and Meredith M. Lee, three members of the D4GX community. All three authors contributed equally to this piece.