CMPSCI 611: Advanced Algorithms (Spring 2021)

Graduate course, Teaching assistant, UMass Amherst, 2021

One of 2 required theory core courses for MS/PhD students at UMass Amherst. Covers many important algorithmic concepts by presenting a few examples of each in detail. Topics include: divide and conquer, matroids, matchings, network flow, randomized algorithms, approximation algorithms, and computational complexity. Instructor is Ramesh Sitaraman.

CMPSCI 590N: Introduction to Numerical Computing with Python (Fall 2020)

Graduate course, Instructor, UMass Amherst, 2020

Six week course for graduate students at UMass Amherst on using Python and libraries such as Numpy for scientific and numerical computing. I was the sole instructor for this course. I designed the syllabus, recorded and uploaded all lectures and demo sessions, designed and graded all assignments and a final project, and held office hours twice weekly.