Academics
The most insightful courses I've taken at Princeton
Graduate Courses - Computer Science
COS 598D Systems and Machine Learning
COS 598B Machine Behavior
COS 597R Probabilistic Topics in Reinforcement Learning
COS 585 Information Theory and Applications
ORF 570 Transformers and Large Language Models
ECE 539 Optimization for Machine Learning
ECE 538B Theory of Deep Weakly Supervised Learning
ECE 538 Behavior Imaging, Sensing, and Machine Learning
ECE 532 Safety-Critical Robotics and AI
COS 511 Theoretical Machine Learning
Undergraduate Courses - Computer Science
COS 485 Neural Networks: Theory and Applications
COS 484 Natural Language Processing
COS 429 Computer Vision
COS 330 Great Ideas in Theoretical Computer Science
COS 240 Reasoning about Computation
COS 226 Data Structures and Algorithms
COS 217 Programming Systems
Undergraduate Courses - Other
SPI 493 Global Perspectives
MAT 377 Combinatorial Mathematics
POL 332 The Art of Statesmanship and the Political Life
CHV 310 Practical Ethics
ORF 309 Probability and Stochastic Systems
MAT 217 Honors Linear Algebra
MAT 215 Real Analysis
PHI 211 Philosophy, Religion, and Existential Commitments
NEU 202 Cognitive Neuroscience