Introduction: Examples and discussion of intelligent systems
Stochastic processes and decision theory
Data, features, feature assessment and feature space transformations
Recognition by classification
Attributes by estimation
Behaviour recognition by means of discrete and continuous models
Automatic diagnosis
The matter is presented by means of animated slides and extensive derivations at the blackboard. The presentation is available on the internet. For further study four text books are recommended:
Class (including training) (32h), self-responsible work (58h)