Teaching

EE 123 Digital Signal Processing

Taught in Spring 2020 with Miki Lustig. Webpage

Topics covered:

• DTFT, DFT, FFT, STFT

• Z-transform

• Spectral Analysis

• Wavelets

• Sampling and reconstruction

• Filter design, polyphase decomposition

• LTI systems, all-pass, minimum phase, linear phase

• Practical DAC and ADC

• Image compression

Responsibilities:

• Office hours

• Recitation sections

• Update and run labs

• Modified final project for remote learning

EECS 189/289A Introduction to Machine Learning

Taught in Fall 2020 with Anant Sahai, Jennifer Listgarten, and Jitendra Malik. Webpage

Topics covered:

• Linear regression, ridge regression

• MLE and MAP for regression

• Kernels

• PCA and CCA

• Gradient descent

• Neural networks

• Gaussian discriminant analysis

• SVMs, clustering, decision trees

• Boosting

Responsibilities:

• Write and debug homework and exam problems

• Recitation sections

• Office hours