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  • 3.00 Credits

    Prerequisite: EE 302 and MATH 350. Students learn the fundamentals of the state space approach to discrete systems modeling, analysis, and design. They also learn to find the discrete state space model of mechanical, electrical, and electromechanical systems, and learn how to solve zero input, zero state, and complete responses of a system represented in discrete state space form. In addition students learn to analyze stability, controllability, and observability of sampled data system and to design computer controlled feedback systems to improve performance of a discrete time systems as well as learning to design observers. Students also learn to use MATLAB computational software to understand new concepts and to perform and implement discrete system analysis and design techniques. 3 cr.
  • 3.00 Credits

    Prerequisite: EE 302 and MATH 350 or equivalent. This is an introductory course in digital signal processing. It provides the requisite background for an entry-level position in signal processing or for advanced study. After successfully completing this course, students are familiar with the basic theory and practice of digital signal processing. The course covers the theory of digital signal processing with emphasis on the frequency domain description of digital filtering: discrete Fourier transforms, flowgraph and matrix representation of digital filters, digital filter design, fast Fourier transform, and effects of finite register length. Classroom lectures are supplemented with implementation exercises using MATLAB and the DSP Hardware. 3 cr.
  • 3.00 Credits

    This is a study of an advanced topic in engineering of special interest to electrical engineering majors, but not offered on a regular basis. 3 cr.
  • 3.00 Credits

    Prerequisite: EE 301; ENGR 212. This is a study of signals, both random and nonrandom. Topics include spectrum analysis, autocorrelation and cross-correlation functions, network analysis of systems with random signals and noise, applications to reception of radar, and space signals. A design project is required. 3 cr.
  • 3.00 Credits

    Prerequisite: EE 314 or equivalent. Fundamentals of modern microwave engineering with emphasis on microwave network analysis and circuit design. Microwave transmission lines, including waveguide, coax, microstrip, and stripline. Microwave circuit theory, including S-parameters, ABCD matrices, equivalent circuits, and signal flow graphs. Upon completion of this class the student will be able to analyze and design passive microwave circuits and components such as matching networks and microwave resonators, power dividers, directional couplers, and filters. Throughout the semester, SerenadeSV, Sonnet Lite and MATLAB will be used to emphasize and to help in understanding important concepts of the course as well as a tool for solving homework problems. The primary methods of assessing student learning are homework assignments, quizzes, exams, and design projects. 3 cr.
  • 3.00 Credits

    Prerequisites: EE 301 and EE 314 or the equivalents. Senior/graduate level course focusing on the application of electromagnetic field and wave principles to equipment and system design practices for the control of Electromagnetic Interference (EMI) and the achievement of Electromagnetic Compatibility (EMC). EMI requirements for electronic equipment, EMI measurements, non-ideal behavior of components, spectrum analysis, radiated emissions and susceptibility, conducted emissions, crosstalk, field-to-cable and cableto- field coupling, electrostatic discharge, grounding, and system configuration. The primary methods of assessing student learning are homework assignments, quizzes, exams, and design projects. 3 cr.
  • 3.00 Credits

    Prerequisite: EE 302, EE 320 and MATH 350. This is a graduate level course in electronic (analog and digital) communication fundamentals. After successfully completing this course students know what analog and digital signaling methods (PAM, PCM, AM, PM, and FM) are available; know how to model, analyze, and design a basic communication link; know how to model, analyze, and design signals that go with the various signaling methods (including the theories on information measure, signal types and their measure, encoding schemes and Fourier analysis); are familiar with the various types of modulation and demodulation schemes available and are familiar with some of the practical applications of modulation/demodulation theory. The methods of assessing student learning in this course are homework assignments, quizzes, classroom discussions, a research project, and a final exam. 3 cr.
  • 3.00 Credits

    Prerequisite: MATH 350; EE 301 or ME 320. Students learn the fundamentals of the state space approach to systems modeling, analysis, and design. They also learn how to find the state space model of electrical, mechanical, and electromechanical systems. In addition students learn how to represent a system in the Jordan, first canonical, and phase variable forms, and to apply state space techniques to find zero input, zero state, and complete solution from state space system equations. In addition students learn to perform system stability, controllability, and observability tests and to design state and output feedback techniques as well as observer design technique. Students also learn to use MATLAB computational software to understand new concepts and to perform and implement system analysis and design techniques. The methods of assessment of student learning in this course are homework assignments, quizzes, tests, and a design project. 3 cr.
  • 3.00 Credits

    Prerequisite: EE 320 or equivalent. The general objective of the course is to introduce students to the building blocks of analog integrated circuits; such as differential amplifiers, current sources and mirrors, gain stages, level shifters, active loads, and output stages. Throughout the semester, Spice will be used to emphasize and to help in understanding important concepts of the course as well as a tool for solving homework problems. The primary methods of assessing student learning are homework assignments, quizzes, exams, and a term project. 3 cr.
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