Introduction to Bayesian Statistics, 3 credits

This course introduces students to the principles and techniques of Bayesian statistics, also known as Bayesian inference. This powerful framework plays a crucial role in integrating observed data with prior knowledge or external information, enabling more informed decision-making in various applications, particularly in signal processing. By the end of the course, students will have a solid understanding of the foundations of Bayesian methods, setting the stage for further exploration of advanced topics such as artificial intelligence, machine learning, and the analysis of time-dependent systems.