part Part I PROBABILISTIC REASONING -- chapter 1 Bayesian Reasoning -- chapter 2 Introducing Bayesian Networks -- chapter 3 Inference in Bayesian Networks -- chapter 4 Decision Networks -- chapter 5 Applications of Bayesian Networks -- part Part II LEARNING CAUSAL MODELS -- chapter 6 Learning Linear Causal Models -- chapter 7 Learning Probabilities -- chapter 8 Learning Discrete Causal Structure -- part Part III KNOWLEDGE ENGINEERING -- chapter 9 Knowledge Engineering with Bayesian Networks -- chapter 10 Evaluation -- chapter 11 KEBN Case Studies.