Coursework

Spring 2018
  • 10-601 Machine Learning
  • 15-451 Algorithm Design & Analysis
  • 21-721 Probability
  • 21-723 Advanced Real Analysis
  • 38-301 MCS Propel
Fall 2017
  • 15-213 Introduction to Computer Systems
  • 15-859 Algorithms for Big Data
  • 21-632 Introduction to Differential Equations
  • 21-701 Discrete Mathematics
  • 21-720 Measure and Integration
  • 38-330 MCS Looking Outward
Spring 2017
  • 15-210 Parallel and Sequential Data Structures and Algorithms
  • 21-236 Math Studies Analysis II
  • 21-238 Math Studies Algebra II
  • 21-623 Complex Analysis
  • 38-230 MCS Looking Inward
Fall 2016
  • 15-150 Principles of Functional Programming
  • 15-751 A Theorist's Toolkit
  • 21-235 Math Studies Analysis I
  • 21-237 Math Studies Algebra I
  • 21-295 Putnam Seminar
  • 21-325 Probability
  • 98-174 Modern Version Control with Git
  • 98-294 Server-Side Scripting with Node.js
Spring 2016
  • 03-161 Molecules to Mind
  • 15-251 Great Theoretical Ideas in Computer Science
  • 21-261 Introduction to Ordinary Differential Equations
  • 21-269 Vector Analysis
Fall 2015
  • 15-122 Principles of Imperative Computation
  • 21-242 Matrix Theory
  • 21-295 Putnam Seminar
  • 33-211 Physics III: Modern Essentials
  • 38-101 MCS Eureka
  • 76-101 Interpretation and Argument