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  • 3.00 Credits

    Review of probability theory; multivariate distributions; Gaussian distributions; weak and strong law of large numbers; random processes; stationarity and ergodicity; mean-value function; auto- and cross-correlation functions; power spectral densities; Wiener-Khinchine theorem; Karhunen-Loeve expansion; Gaussian random processes; random processes in linear filters; white Gaussian noise. Prerequisites: "C-" or better in (ECE 3500 AND ECE 3530) AND Full Major status in (Electrical Engineering OR Computer Engineering).
  • 3.00 Credits

    Modern communications; probabilistic viewpoint; vector representation of signal; signal spaces; vector channels; additive white Gaussian noise; optimum receivers; maximum-likelihood detection; error probabilities; memoryless modulation methods: PAM, BPSK, M-PSK, FSK, QAM; message sequences; intersymbol interference (ISI); Nyquist signaling; complex baseband models; noncoherent detection. Prerequisites: 'C-' or better in ECE 3530 AND Full Major status in (Electrical Engineering OR Computer Engineering)
  • 3.00 Credits

    Introduction to wireless transmission systems. This course will emphasize how individual parameters affect overall system design and performance. Topics include: basic cellular systems and parameters, multi-path channels and modulation techniques. Prerequisites: "C-" or better in (ECE 3300 AND ECE 3500 AND ECE 3530) AND Full Major status in (Electrical Engineering OR Computer Engineering).
  • 3.00 Credits

    Discrete-time signals and systems; the z-transform. Input-output relationships; discrete-time networks. The discrete-time Fourier transform and sampling; practical sampling issues; signal quantization. The discrete Fourier transform, the fast Fourier transform, and high-speed convolution. Filter design from analog models; impulse-invariant, bilinear, and spectral transformations. FIR filter design, windowing, and frequency-sampling methods. Equiripple filter design. Coefficient quantization. Examples of DSP applications and implementations. Undergraduate students only. Prerequisites: "C-" or better in ECE 3500 AND Full Major status in (Electrical Engineering OR Computer Engineering).
  • 3.00 Credits

    This course presents various signal processing techniques for implementation of digital communication systems. The topics covered include: (i) digital filter designs and implementation; (ii) multirate signal processing techniques; (iii) efficient implementation of modulators/demodulators; (iv) phase-locked loop (PLL); (v) carrier and timing recovery techniques; (vi) channel equalization methods. Prerequisites: 'B' or better in ECE 3500 AND ECE 3530
  • 4.00 Credits

    This course will introduce the power electronics basis and its applications. Students will learn about dc-dc converters dc-ac inverters, solid state power devices, and applications of power electronics in renewable energy area. In present days, power electronics is an extremely demanding field especially for the development of plug-in hybrid vehicles and renewable energy harvesting. Therefore, this course should be considered as a gateway to many other courses in power engineering. Prerequisites: "C-" or better in ECE 2280 AND Full Major status in (Electrical Engineering OR Computer Engineering).
  • 3.00 Credits

    Students learn the theory and application of techniques and tools used for the design of feedback control systems, specifically in the frequency (Laplace) domain. Topics covered include Laplace transforms, steady-state error, Routh-Hurwitz stability criterion, root locus, Bode, and Nyquist techniques for continuous and sampled systems. Course also covers the design of lead, lag, and PID controllers. Prerequisites: 'C-' or better in ECE 2240
  • 3.00 Credits

    This course will introduce the basics of Electric Power System and its components. Students will learn about power generation, transmissions, and distribution, transmission line modeling, load-flow analysis and balanced and unbalanced fault analysis in power systems. This course should be considered as a starting point to understand the concept of Smart Grid and other branches of modern power systems. Prerequisites: 'C-' or better in (ECE 3600 AND (Full Major status in Electrical Engineering OR Computer Engineering)) OR Instructor Consent.
  • 3.00 Credits

    This course takes in the study of the largest machine ever built: the integrated power grid. You will be introduced to the broad range of theory and methods related to power system protection. In the process, you will: (1) Understand the nature of symmetrical and asymmetrical faults on power systems and the computational tools to evaluate them. (2) Identify and describe the equipment involved in electric power system protection. (3) Identify the techniques and technologies utilized for the detection, location, and isolation of electrical faults. (4) Explain the types of analytical studies that are performed in the context of system protection. Prerequisites: 'C-' or better in ECE 5620 OR Instructor Consent
  • 3.00 Credits

    This course introduces the market structure of electric power systems, and the market agents including of system system operator, generating companies, and customers. The course describes the basic market concepts from micro-economics and then continues with introducing the tools and models for electricity market operation, including economic dispatch, optimal power flow, and unit commitment. Prerequisites: Instructor Consent