Making Code Concrete: Curricula for Learning Programming and Data Science

Seminar | March 2 | 2:30-3:30 p.m. | 521 Cory Hall

Speaker:  Sam Lau, Ph.D. Candidate, UC San Diego

Sponsor:  Electrical Engineering and Computer Sciences (EECS)

Data plays a crucial role in important decisions, from urban planners deciding where to build new roads to scientists understanding the spread of a disease. This reality motivates people to learn how to draw conclusions from data using programs. To address this need, I develop curricula for learning programming and data science. I’ll demonstrate my pedagogical approach through a teaching demo of gradient descent, a widely-used technique in machine learning. This lesson draws on work that uses gradient descent for a real-world system (AirNow.gov) that serves millions of people in the US.

Event Contact:  CA, kcisco@berkeley.edu, 510-642-0954

Access Coordinator:  Katie Cisco,  kcisco@berkeley.edu,  510-642-0954