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  • 4.00 Credits

    This course focuses on the Hardware and Software design of controllers such as the Intel 8061. Students learn how to design embedded systems via both lecture and laboratory instruction. Laboratory projects include designing, building and testing of these systems and evaluating the HW/SW tradeoffs. Prerequisites: (EE 112A or CS 230A) and (EE 226A or CS 205A). Three hours of lecture and one three-hour laboratory period per week.
  • 4.00 Credits

    Representation of signals and systems. Time domain analysis of linear systems including the convolution integral and differential equations. Frequency domain analysis including Fourier series and the Fourier integral. LaPlace transform analysis of linear systems including initial value problems. Prerequisite: EE 214A. Corequisite: MA 220A. Four hours a week.
  • 4.00 Credits

    A continuation of EE 313A with further development of the Bilateral and Unilateral LaPlace Transform techniques. Expanded development with discrete Time Systems and analysis tools. Introduction to the Discrete Fourier Transform (DFT), Fast Fourier Transforms (FFT), and Z Transform techniques. Additional application in Discrete Filtering including both Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) systems. Introduction to State Variable Analysis. Prerequisites: MA 220A with a C (2.0) or better, EE 313A. Four hours a week.
  • 4.00 Credits

    An introduction to amplifiers. Voltage, current, transresistance, transconductance, and operational amplifiers and their characteristics and circuits are studied using amplifier equivalent circuits. Singletime- constant circuits, amplifier frequency response, and multiple-stage amplifiers are introduced. The semiconductor pn junction, diodes, diode circuits, and the bipolar junction transistor (BJT) are studied. Prerequisite: EE 214A. Three lectures and one laboratory period a week.
  • 4.00 Credits

    A detailed study of the bipolar junction transistor (BJT) and field effect transistor (FET). Their fabrication, considering discrete component and VLSI design, their equivalent circuits, including high frequency response, and their device application are studied. Prerequisite: EE 321A. Three lectures and one laboratory period a week.
  • 3.00 Credits

    Introduction to Probabilities, Random Variables and Stochastic Processes. Review of Gaussian, Rayleigh, Exponential, Poisson, and Chi/Chi- Square distributions with applications in Electrical Signaling Systems. Applications of Ergodicity and various Stationary Process including Strict Sense and Wide Sense Process with Linear Time Invariant (LTI) Systems. Advanced Correlation and Spectral Analysis techniques for use with LTI Systems in Noise Environments. Prerequisite: MA 119 with a C (2.0) or higher, EE 313A. Three hours a week.
  • 4.00 Credits

    The basic theory of feedback control systems using classical approaches. Control problems are formulated and treated from the transfer function, s-plane, and frequency response approaches. The role of the system characteristic equation in determining transient response and system stability is emphasized. Prerequisites: EE 313A. MA 220 with a C (2.0) or higher. Four hours a week.
  • 4.00 Credits

    Vectors, fields and mathematical quantities associated with fields. Electrostatic fields in free space and in dielectrics. LaPlace’s and Poisson’s equations.The steady electric current and the static magnetic fields of steady electric fields in free space. An introduction to the static magnetic fields of ferromagnetic materials. Prerequisites: PY 211A, MA 219A with a C (2.0) or higher. Four hours a week.
  • 4.00 Credits

    A continuation of the study of static magnetic fields in a ferromagnetic material. LaPlace’s and Poisson’s equations and boundary value problems. Time varying electric and magnetic fields. Maxwell’s equations. A study of plane waves in dielectric and conducting medium. Guided waves, transmission lines and waveguides. Prerequisite: EE 343A. Four hours a week.
  • 4.00 Credits

    Review of Fourier series, convolution and extension to power spectral density. Basic theory of communication systems including contemporary modulation systems and the effect of noise on their performance. Prerequisite: EE 314A. Four hours a week.
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