1.1 Introductory Example: Train-Use Survey1.2 Graphical Representation1.3 Probabilistic Representation1.4 Estimating the Parameters: Conditional Probability Tables1.5 Learning the DAG Structure: Tests and Scores1.5.1 Conditional Independence Tests1.5.2 Network Scores1.6 Using Discrete Bayesian Networks1.6.1 Using the DAG Structure1.6.2 Using the Conditional Probability Tables1.6.2.1 Exact Inference1.6.2.2 Approximate Inference1.7 Plotting Discrete Bayesian Networks1.7.1 Plotting DAGs1.7.2 Plotting Conditional Probability Distributions1.8 Further Reading