Exact solutions of the Einstein field equations are Lorentzian manifolds equipped with tensor fields that model states of matter and non-gravitational fields. These solutions are derived without simplifying assumptions, though they may start from idealized cases. Finding an exact solution is a mathematical process.

The course introduces decision making under uncertainty from a computational perspective, covering dynamic programming, reinforcement learning, and more. Prerequisites include basic probability and fluency in a high-level programming language.