Introduction to Artificial Intelligence (AI). Languages of AI. Introduction to
PROLOG. Problem solving strategies. Expert System (ES). Describe the
characteristics, features, structures, limitations, and benefits of ES.
Describe the various methods of knowledge representation and build simple rule-
based knowledge bases. Describe the various methods of inference. Conduct
manual backward and forward chaining inferences. Artificial Neural Networks.
The most common models like Backpropagation multilayered, Recurrent
multilayered, Kohonen, Counterpropagation, Hopfield, BAM and ART nets are
introduced. Object-oriented model of all mentioned types of neural networks.
Expert System and Neural Network. Applications of Neural Network in Imaging
Processing.