Graduate
MAE 549, Introduction to Robotics
ELE 539, Safety-Critical Robotic Systems
ARC 575, Computational Fabrication in Architecture
COS 511, Theoretical Machine Learning
COS 529, Advanced Computer Vision
COS 597D, Computational Control Theory
COS 598B, Mathematical Understanding of Deep Learning
ELE 524, Foundations of Reinforcement Learning
ELE 539, Optimization for Machine Learning
MAE 412, Microprocessors for Measurement and Control
MAE 545, Deep Learning and Physical Systems
ORF 522, Linear and Nonlinear Optimization
ORF 523, Convex and Conic Optimization
ORF 569, Theory and Practice of Deep Learning
Undergraduate
MAE 345, Introduction to Robotics
COS 324, Introduction to Machine Learning
COS 424, Fundamentals of Machine Learning
COS 454, Probabilistic Models of Cognition
COS 485, Neural Networks: Theory and Applications
ELE 302, Robotic and Autonomous Systems Lab
ELE 434, Machine Learning and Pattern Recognition
MAE 206, Introduction to Engineering Dynamic
MAE 331, Aircraft Flight Dynamics
MAE 433, Automatic Control Systems
ORF 363, Computing and Optimization for the Physical and Social Sciences