3.2: Probabilistic Methods for Uncertain Reasoning
3.2.1: Bayesian Network
Read this article on Bayesian networks. Focus on the definitions it provides and work through the example provided.
Watch this lecture, which discusses Bayesian Inference. You may wish to work through the slides provided on the right-hand side of the screen as Bishop lectures. Focus on learning the rules of probability and understanding the terms Bayes' theorem, Bayesian inference, probabilistic graphical models. Make sure you know how factor graphs are used.
3.2.2: Hidden Markov Model
Read this article, which discusses the hidden Markov model.
3.2.3: Other Methods for Uncertain Reasoning
184.108.40.206: Kalman Filter
Read this article on the Kalman Filter.
220.127.116.11: Decision Theory
Read this article, making sure you understand the normative and descriptive decision theory and what kinds of decisions need a theory.