Courses

Provides detailed performance analysis of communications systems first studied in introductory communications courses such as EE 360 or EE 461.

The major topics covered in this course include Signals and Systems representations, classifications, and analysis using; Difference and Differential Equations, Laplace Transform, Z-Transform, Fourier series, Fourier Transform, Fast Fourier Transform (FFT), Discrete-Time Fourier Transform (DTFT) and Discrete Fourier Transform (DFT).

Fundamentals, power transformers, transmission lines, power flow, fault calculations, power system controls.

Electromagnetic field theory fundamentals with application to transmission lines, waveguides, cavities, antennas, radar, and radio propagation.

Parametric modeling, spectral estimation, efficient transforms and convolution algorithms, multirate processing, and selected applications involving non-linear and time-variant filters.

Review of probability theory and random variables; mathematical description of random signals; linear system response; Wiener, Kalman, and other filtering.

Continuous and discrete-time linear control systems; state variable models; analytical design for deterministic and random inputs; time-varying systems and stability.

Variational methods in control system design; classical calculus of variations, dynamic programming, maximum principle; optimal digital control systems; state estimation.

Steady-state and dynamic model of synchronous machines, excitation systems, unit commitment, control of generation, optimal power flow.

Covers the application of advanced power electronics in power apparatus.

Topics for the electrical engineer include the advanced treatment of analysis and solution techniques for dynamic systems, both in the time and frequency domains, with higher order systems of ordinary differential equations, partial differential equations, vector calculus, Fourier analysis, complex analysis, numeric analysis, probability, and statistics.

Tools to analyze and design discrete time (digital) control hardware and software systems; advantages of discrete time control, including increased flexibility in control modification and tuning, improved system reliability, easier system integration, and reduced design time.

Sensors and Detection Systems with a focus in Homeland Security; includes terminology, visualizations, processes, and technical knowledge in the art of sensor and detection system design, analog and digital signals, field equipment used to measure signals, microcontrollers and embedded systems, electrical communication systems, system requirements and design, countermeasures/vulnerabilities.