Channel Coding and BICM (LLRs)Explores channel coding, BICM, and LLRs in wireless communication systems, emphasizing the importance of error detection and correction.
Lecture: ShannonCovers the basics of information theory, focusing on Shannon's setting and channel transmission.
Probability and StatisticsIntroduces probability, statistics, distributions, inference, likelihood, and combinatorics for studying random events and network modeling.
Maximum Likelihood InferenceExplores maximum likelihood inference, comparing models based on likelihood ratios and demonstrating with a coin example.
Detection & EstimationCovers binary classification, hypothesis testing, likelihood ratio tests, and decision rules.
Probability and StatisticsDelves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
Jacamar Data AnalysisCovers jacamar data analysis, smoking data models, and challenges with log-linear models in visual impairment data.
