Coursework

Spring 2023

• 6.401: Introduction to Statistical Data Analysis
• 21M.302: Harmony and Counterpoint II

Fall 2022

• 8.033: Relativity
• 18.434: Seminar in Theoretical Computer Science

Spring 2022

• 6.08: Introduction to EECS via Interconnected Embedded Systems
• 8.044: Statistical Physics I
• 14.13: Psychology and Economics
• 21M.301: Harmony and Counterpoint I
• 24.09: Minds and Machines

Fall 2021

• 6.860/9.520: Statistical Learning Theory and Applications
• 6.867: Machine Learning
• 8.05: Quantum Physics II
• 14.19: Market Design
• 18.112: Functions of a Complex Variable

Spring 2021

• 6.031: Elements of Software Construction
• 6.033: Computer Systems Engineering
• 8.04: Quantum Physics I
• 14.02: Principles of Macroeconomics
• 18.100B: Real Analysis
• 18.200: Principles of Discrete Applied Mathematics

Fall 2020

• 3.091: Introduction to Solid State Chemistry
• 6.438: Algorithms for Inference
• 6.840/18.4041: Theory of Computation
• 6.854/18.415: Advanced Algorithms
• 8.03: Physics III
• 14.01: Principles of Microeconomics

Spring 2020

• 6.004: Computation Structures
• 6.009: Fundamentals of Programming
• 6.036: Introduction to Machine Learning
• 6.806: Advanced Natural Language Processing
• 18.600: Probability and Random Variables

Fall 2019

• 6.046/18.410: Design and Analysis of Algorithms
• 18.03: Differential Equations
• 18.701: Algebra I
• 21M.011: Introduction to Western Music

Prior Credits

• 7.012: Introductory Biology
• 8.01: Physics I
• 8.02: Physics II
• 18.01: Calculus
• 18.02: Calculus