Fundamental concept of neural computation. Main neural network models. Perceptions
and back-propagation, Hopfield and feedback models. Fault-tolerance in neural
networks. Parallel processing in neural networks. Potential and limitations of neural
networks. Applications of neural computing. Project(s).