Dynamic systems from the state variable approach; observability, controllability, stability, and sensitivity of differential and non differential systems. Cooperative course taught jointly by WSU and UI (EE 572).

Optimal linear feedback control, optimal stochastic observers, LQG/LTR design methodology, modern Wiener-Hopf design, robust controllers. Cooperative course taught jointly by WSU and UI (EE 574).

Introduction and development of computational and analytical methods required to characterize large-scale networks.

Diffraction theory, Fourier transforming and imaging properties of lenses, spatial filtering, holography, temporal and spatial coherence, imaging through random media.

Overview of nonlinear phenomena, Lyapunov stability, input-output stability, periodic orbits, singular perturbation, differential perturbation, differential geometric methods, bifurcations and complex behaviors.

Functions of random variables; random sequences; stochastic processes; mean-square stochastic calculus; ergodicity; spectral density; linear transformations, filtering, dynamic systems. Cooperative course taught jointly by WSU and UI (EE 570).

Principles of statistical estimates; LLSE; Kalman filtering; smoothing; predictions; maximum-likelihood and Beyesian estimation.

Model reference adaptive systems (MRAS), adaptive observers, adaptive control, on-line identification, robustness issues, self-tuning regulators.

Analysis of homo-junction and hetero-junction solar cells.

Protection of electrical equipment as related to electric power systems with emphasis on digital algorithms. Cooperative course taught jointly by WSU and UI (EE 526).

Devices and classical network synthesis, two-port network theory, filters, active filters.

Experiments with optical systems; imaging interference coherence, information storage/processing, gas and solid state lasers, optical fibers, and communication systems. Same as Physics 514.

Experiments in optical physics, physical properties of light, laser physics, waveguides, quantum confined semiconductor structures and ultrafast dynamics and nonlinear optics. Same as Physics 515.

Radiative transfer theory; rough surface scattering; scattering in random media; scattering by random discrete scatterers; the T-matrix method; inverse scattering.

Graduate-level counterpart of EE 417. Credit not granted for both.

Electromagnetic waves, electromagnetic theorems and concepts, solutions to the wave equation in rectangular, cylindrical and spherical coordinates. Cooperative course taught by WSU, open to UI students (EE 530).

Exact solutions to canonical electromagnetic diffraction problems, high and low frequency limits, foundations of numerical solutions to electromagnetic scattering problems.

Electro magnetics, kinetic theory, and fluid mechanics of plasmas in space, arcs, plasma processing, coronas, and fusion reactors.

Concepts and practices of modern power engineering, including faults, stability, cables, dc transmission and overvoltage phenomena.

High voltage-high power phenomena; design and measurements associated with electrical transmission, current interruption, insulation, transformation, lightning, and corona.

Instruction set architectures, pipelining and super pipelining, instruction level parallelism, superscalar and VLIW processors, cache memory, thread-level parallelism and VLSI.

Graduate-Level counterpart of EE 426. Credit not granted for both.

Antenna fundamentals, analytical techniques, characteristics and design procedures for selected types of wire, broadband, and aperture antennas. Cooperative course taught jointly by WSU and UI (EE 533).

May be repeated for credit; cumulative maximum 6 hours. Advanced topics of current interest in wave propagation (electro magnetics, acoustics, or optics).

Frequency selective digital filtering, least squares filtering, adaptive filtering, multirate signal processing.

Available energy resources; energy issues; economic analysis of energy alternatives; energy future.

Development, current state and future of high speed computing application of existing commercial supercomputers to engineering problems. Cooperative course taught by UI (EE 504)

Computer simulation of electromagnetics using the finite-difference, time-domain (FDTD) method; theory of finite-difference simulation, techniques for modeling EM propagation in lossy and dispersive media, boundary conditions for time-domain simulation. Cooperative course taught by UI (EE 538).

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

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

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

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

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

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

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).

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

Fault tolerance aspects involved in design and evaluation of systems; methods of detection and recovery; modeling, correcting codes and reconfiguration. Same as Cpt S 562.

Signal processing and communication theory aspects of frequency domain analysis of continuous and discrete random signals.

Methods of modulating, generating, and detecting light; display techniques; display devices; fiber optics.

Credit 3. Prerequisites: EE 521 or equivalent.