A new graduate course on neural networks

A new neural network course at the graduate level is described. The course is offered at the computer engineering department but is intended for a wider audience. It is currently taken as a technical elective by master´s students at King Fahd University of Petroleum and Minerals (KFUPM). The course´s main topics are: foundations of neural computation; architectures of neural networks; learning; dynamics; feedback models; VLSI implementations; parallel processing; and fault-tolerance. The course is not a survey of neural network models, learning algorithms, etc. It is instead an in-depth presentation of neural computing principles with illustrations from few but diverse models