# Teaching

## Content

The course webpages listed in the *Courses* section below are likely useful more for posterity than for identifying helpfully reusable material. I recommend starting here instead:

Probability, Statistics, and Machine Learning: notebooks and videos

Notes on complex variables, differential equations, and Fourier series

## Courses

DATA 1010 (math for data science) (Fall 2020)

DATA 2040 (deep learning) (Spring 2019)

DATA 1010 (math for data science) (Fall 2018)

Math 0350 (multivariable calculus) at Brown (Fall 2017)

Math 0520 (linear algebra) at Brown (Spring 2017)

Math 0190 (calculus+complex+DE+Fourier) at Brown (Fall 2016)

Math 1610 (probability) at Brown (Fall 2015)

Recitation for 18.022 Multivariate Calculus at MIT (Fall 2014)