- Maximum Likelihood Estimation: Part I - ML philosophy - Asymptotic property of MLE - Consistency Property of MLE - Proof that ML produces efficient estimators if they exist - Examples: ML sinusoidal phase estimation - MLE of Gaussian variables parameters with equal mean and variance - Verification of the asymptotic property of MLE using Truncated Taylor series