20 lectures, the first lecture is on Jan 5, the last is on Mar 10.
Course description
Probabilistic methods for control and estimation. Statistical inference for discrete and continuous random variables. Linear estimation with Gaussian noise. The Kalman filter. Prerequisite: EE 263.