Introduction to Signal Detection and Estimation: Elements of hypothesis testing, Signal detection, Bayesian parameter estimation, Maximum-likelihood estimation, Iterative schemes based on expectation-maximization algorithms, Signal estimation based on state-space models, Kalman-Bucy filtering, Orthogonality principle, Wiener-Kolmogorov filtering.