Packet switching networks; multi-access and local-area networks; delay models in data networks; routing and flow control.

Analysis and design of high speed asynchronous state machines, timing defect analysis, modular elements, arbiters, programmable sequencers, system level design. Cooperative course taught jointly by WSU and UI (EE 540).

Digital communications; multi-amplitude/phase signal constellations; probability of error performance; cutoff rate; Viterbi algorithm; trellis coded modulation.

Information theory; entropy, mutual information, source and channel coding theorems, channel capacity, Gaussian channels; channel coding; block and convolutional codes.

Source coding with a fidelity criterion; quantization theory; predictive, transform and subband coding; noiseless source codes.

Parallel processing inspired by natural neural systems; neural computer architecture, supervised and unsupervised learning, generalization, implementation, and application; neurophysiology basis.

Theory of signals; signal spaces; basis sets; signal representations; projections theorem; Fourier transform; optimum signal design.

State space approach, SISO, optimal control, state estimators, stochastic systems, state estimation in the presence of noise.