Special Topics on Optimal Control and Learning — Fall 2025 (ISYE 8803 VAN)
Georgia Institute of Technology – Fridays 2 pm ET
Designers: Andrew Rosemberg & Michael Klamkin
Instructor: Prof. Pascal Van Hentenryck
2025 cohort: TBD
Overview
This student-led course explores modern techniques for controlling — and learning to control — dynamical systems. Topics range from classical optimal control and numerical optimization to reinforcement learning, PDE-constrained optimization (finite-element methods, Neural DiffEq, PINNs, neural operators), and GPU-accelerated workflows.
Prerequisites
- Solid linear-algebra background
- Programming experience in Julia, Python, or MATLAB
- Basic ODE familiarity