## Graduate

MAE 549, Introduction to Robotics

ELE 539, Safety-Critical Robotic Systems

ARC 574, Computational Fabrication

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

ARC 374, Computational Thinking for Design, Architecture, and Engineering