Coursework
Columbia University
DRO 9118* Foundations of Optimization (Santiago Balseiro)
IEOR 6711 Stochastic Modeling I (Henry Lam)
IEOR 6613 Optimization I (Vineet Goyal)
Swarthmore College
Mathematics and Statistics
STAT 111 Mathematical Statistics II (Phil Everson)
MATH 104 Topology (Allison Miller)
MATH 103 Complex Analysis (Linda Chen)
MATH 102 Abstract Algebra II (Cathy Hsu)
MATH 69 Combinatorics (Allison Miller)
MATH 67 Abstract Algebra I (Cathy Hsu)
MATH 66 Stochastic and Numerical Methods (Joshua Goldwyn)
MATH 65 Differential Geometry (Janet Talvacchia)
MATH 63* Real Analysis I (Robert Viator)Â
STAT 61 Mathematical Statistics I (Amanda Luby)
MATH 54* Partial Differential Equations (Joshua Goldwyn)
STAT 51* Probability (Ian Whitehead)
MATH 44* Differential Equations (Victor Barranca)
MATH 39* Discrete Mathematics (Thomas Crawford)
MATH 35 Honors Multivariable Calculus (Thomas Hunter)
MATH 28 Linear Algebra with Theory (Cheryl Grood)
STAT 21 Statistical Methods I (Amanda Luby)
Computer Science
CPSC 99 Senior Comprehensive (NA)
CPSC 93 Competitive Programming (Joshua Brody)
CPSC 91T* Computational Geometry (Neil Lutz)
CPSC 75* Compilers (Zachary Palmer)
CPSC 66 Machine Learning (Benjamin Mitchell)
CPSC 63 Artificial Intelligence (Lisa Meeden)
CPSC 45 Operating Systems (Kevin Webb)
CPSC 41* Algorithms (Neil Lutz)
CPSC 35 Data Structures and Algorithms (Zachary Palmer, Michael Wehar)
CPSC 31 Introduction to Computer Systems (Richard Wicentowski)