Covers error correction in quantum computing using Hamming codes and syndrome decoding.
Explores channel coding, BICM, and LLRs in wireless communication systems, emphasizing the importance of error detection and correction.
Covers Maximum Likelihood Estimation, focusing on ML Estimation-Distribution, Shrinkage Estimation, and Loss functions.
Introduces Bayesian estimation, covering classical versus Bayesian inference, conjugate priors, MCMC methods, and practical examples like temperature estimation and choice modeling.
Explores quantum correction codes, emphasizing error detection, correction, and quantum circuit applications.
Covers the basics of information theory, focusing on Shannon's setting and channel transmission.
