Courses

State-space dynamical systems, stability eigenvalues, controllability, observability, Linear Quadratic Regulators (LQR), and Kalman filtering derived for modern control engineering.

From CMOS transistors, combinational logic, and sequential state machines up through instruction set architectures, pipelining, out-of-order execution, caches, DRAM controllers, and hardware accelerators.

Systems engineering case study of the Space Shuttle taught by NASA's former Space Shuttle program manager and astronauts: main engines, thermal protection tiles, avionics, aerodynamics, and Columbia/Challenger lessons.

Nonlinear dynamics, phase-portrait geometry, dynamic programming, trajectory optimization, Lyapunov sum-of-squares verification, legged locomotion, and contact-rich manipulation.

Spatial descriptions, Denavit-Hartenberg forward and inverse kinematics, manipulator Jacobians, Lagrangian dynamics, trajectory generation, and operational-space force control.

Stephen Boyd develops applied linear algebra and matrix exponential dynamics: least-squares estimation, singular value geometry, autonomous state trajectories, controllability, and LQR design.

Stephen Boyd's classic Stanford graduate sequence on convex sets, convex functions, duality, KKT conditions, interior-point methods, and engineering/ML modeling.