Coursework
A short overview of the courses I have taken, or am taking. Formally, these work
towards an AB in mathematics and computer science, with a concurrent MA in statistics.
Courses I found especially compelling are
highlighted in blue. Graduate-level courses are
marked with an asterisk (*).
Freshman Fall
- Math 25a: Theoretical Linear Algebra
- CS 61: Systems Programming
- Stat 110: Introduction to Probability
- Ec 10a: Introduction to Microeconomics
Freshman Spring
- Math 25b: Real Analysis
- CS 124: Data Structures and Algorithms
- Stat 111: Introduction to Statistical Inference
- MIT 6.036: Introduction to Machine Learning
- Expos 20: Writing Seminar
Freshman Summer
- Applied Math 115: Mathematical Modelling
- [RA in Developmental Economics]
Sophomore Fall
- Math 122: Algebra I
- Ec 1011a: Advanced Microeconomics
- CS 153: Compilers
- Social Studies 10a: Social Theory I
Sophomore Spring
- Math 113: Complex Analysis
- Math 118R: Dynamical Systems
- Stat 195: Statistical Learning Theory
- Physics 231: Computational Neuroscience*
- Gened 1084: The First Nine Months
Sophomore Summer
- [RA in Developmental Economics]
- [RA in Theoretical Neuroscience]