Data 140: Probability for Data Science (Spring 2021, Fall 2020, Spring 2020)
Head Graduate Student Instructor, UC Berkeley, Division of Computing, Data Science, and Society, 2021
Course Content: Probability Distributions, Expectation, Markov Chain Monte Carlo, Covariance, Multiple Linear Regression, Estimation using MAP and MLE
Course enrollment: 350-400 students per semester
In Spring 2021, I piloted a series of “catch-up” sessions to supplement course lectures and sections. Each week, I designed and delivered a lecture that summarized foundational concepts covered in the prior week’s course material and walked students through problem-solving strategies.