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  • 4.00 Credits

    This course presents the basic digital signal processing (DSP) principles used in the design and analysis of sampled signals. Topics include but are not limited to design of finite impulse response (FIR) filters and infinite impulse response (IIR) filters. The Fast Fourier Transform (FFT) is studied in order to compute the Discrete Fourier Transform (DFT). Laboratory experiments emphasize hardware and software solutions to practical problems. Prerequisites: ELEC505 Linear Network Analysis; ELEC510 Discrete Signals and Systems; ELEC345 Microcontrollers and Embedded Computer Systems. Day Course.
  • 3.00 Credits

    This course presents the basic digital signal processing (DSP) principles used in the design and analysis of sampled signals. Topics include but are not limited to design of finite impulse response (FIR) filters and infinite impulse response (IIR) filters. The Fast Fourier Transform (FFT) is studied in order to compute the Discrete Fourier Transform (DFT). Laboratory experiments emphasize hardware and software solutions to practical problems. Prerequisite: ELEC580 Signals and Systems; ELEC240 Introduction to Microprocessors. ACPE Course.
  • 4.00 Credits

    The response of linear, time-invariant systems to exponential and sinusoidal signals for both continuous and discrete time-systems is studied. The transfer function of a system is introduced. This is followed by a study of Fourier Series, Fourier transforms, and Laplace and Z-transforms. The filter characteristics of a system, distortionless transmission and natural frequencies are introduced. The correspondence between time domain and frequency domain representation of a signal is stressed. Prerequisite: MATH495 Applied Calculus and Differential Equations; Junior status. ACPE Course.
  • 4.00 Credits

    Continuous and discrete-time signals and systems will be studied. Time domain analysis of linear systems will include convolution (discrete and continuous), timeinvariance, causality, and stability of systems. Time domain analysis of signals using the Fourier series and Fourier integral will be covered as well as frequency domain analysis of signals using the Fourier transform. Laplace transform analysis of linear systems including pole-zero plots and z-transform analysis of discrete systems will be studied. Laboratory exercises will use computer software to strengthen important course concepts. Prerequisite: ELEC281 Network Theory II; MATH620 Applied Differential Equations I. Day Course.
  • 4.00 Credits

    Static electric and magnetic fields are studied in this course. Maxwell's equations are presented and time-varying fields are introduced. Laboratory applications include transmission of electromagnetic waves in air and on transmission lines. Prerequisite: Junior status; MATH510 Calculus III. Day Course.
  • 4.00 Credits

    This course will use velocity and position feedback to control servos. PID and other types of systems will be analyzed through software packages employing BODE, Nyquist and Root locus techniques. Prerequisite: ELEC505 Linear Network Analysis. Corequisite: ELEC596 Introduction to Digital Signal Processing. Day Course.
  • 4.00 Credits

    This course introduces sampling, aliasing, ADCs and z-transforms. DSP applications including digital filtering (both FIR and IIR) are analyzed and designed. Fast Fourier Transform (FFT) is studied in order to compute the Discrete Fourier Transform (DFT). Laboratory experiments emphasize hardware and software solutions to practical problems. Prerequisites: ELEC505 Linear Network Analysis; ELEC345 Microcontrollers and Embedded Computer Systems. Day Course.
  • 4.00 Credits

    This subject is for senior students who wish to pursue individual or group studies in either laboratory or project-oriented course work. The student will work in his or her curriculum area and may become involved in an interdisciplinary approach to technological problems. The work will be performed under the direction of one or more faculty advisors. Course requirements include oral and written progress reports throughout the semester plus a final technical report documenting the work for the semester. Prerequisite: Senior status; and approval of Advisor. ACPE Course.
  • 3.00 Credits

    The first of a two course sequence, this course concentrates on the selection of an appropriate engineering project for design, the development of time and financial budgets, and milestone graphs. The majority of work is spent in the laboratory research- ing, designing, prototyping, debugging, and acquiring data on the students' individual designs. Engineering notebook is required. Prerequisites: Senior Status; ELEC496 Advanced Sensors and Interfacing Systems; ELEC345 Microcontrollers and Embedded Computer Systems. Day Course.
  • 4.00 Credits

    This course studies communication systems including time and frequency multiplexing. Theory and circuits for signal sampling, amplitude modulation, frequency modulation, phase modulation and various kinds of pulse modulations are treated. Recent developments and practices in digital communication systems are presented. Laboratory exercises parallel the theory portion of this course. Prerequisite: ELEC580 Signals and Systems. ACPE Course.
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