Academics

Courses

* indicates graduate coursework

COS 598B* Machine Behavior taught by Manoel Horta Ribeiro
COS 585* Information Theory (in progress) taught by Ran Raz
COS 522* Computational Complexity taught by Gillat Kol
COS 484 Natural Language Processing taught by Danqi Chen, Tri Dao, Vikram Ramaswamy
COS 429 Computer Vision taught by Olga Russakovsky, Vikram Ramaswamy
COS 445 Economics and Computing taught by Matt Weinberg, Mark Braverman
COS 423 Theory of Algorithms taught by Robert Tarjan
COS 350 Ethics of Computing taught by Aleksandra Korolova
COS 324 Machine Learning taught by Sanjeev Arora, Elad Hazan
COS 326 Functional Programming (in progress) taught by David Walker
COS 226 Algorithms and Data Structures taught by Gillat Kol, Pedro Paredes
COS 217 Programming Systems taught by Zak Kincaid, Donna Gabai, Christopher Moretti
COS 126 Computer Science: An Interdisciplinary Approach taught by Alan Kaplan

ORF 418 Optimal Learning (in progress) taught by Emma Hubert
ORF 309 Probability and Stochastic Systems taught by Mark Cerenzia
MAT 217 Honors Linear Algebra taught by Jakub Witaszek
MAT 215 Honors Analysis taught by Charles Fefferman, Samuel Pérez-Ayala
MAT 203 Advanced Vector Calculus taught by David Gabai
PHY 104 General Physics II: Electricity and Magnetism taught by Christopher Tully
PHY 103 General Physics I: Mechanics taught by Isobel Ojalvo

PSY 360 Computational Models of Cognition (in progress) taught by Tom Griffiths
ECO 310 Microeconomic Theory: A Mathematical Approach taught by Can Urgun
PHI 201 Logic taught by Hans Halvorson
FRE 108 Advanced French taught by Murielle Perrier, Isabelle Chen
WRI 195 Writing Seminar: Captivating Animals taught by Catherine Young