Abstract
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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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