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  • 4.00 Credits

    Analog-integrated circuit techniques, filters and tuned amplifiers, signal generator, waveform shaping circuits, power amplifier and power semiconductor devices, computer models and computer simulations of complex devices and circuits. Prerequisites: "C-" or better in ECE 2280 AND (Full Major status in Electrical Engineering OR Computer Engineering).
  • 3.00 Credits

    Covers semiconductor material properties including crystal structure, classification of crystals, and electronic structure of atoms within the semiconductor. Provides derivations of principles of quantum mechanics and application to problems such as the quantum well. Covers energy bands and changes to energy levels within energy bands from doping, fundamentals of carrier generation, transportation, recombination, and the structure and operation principles of the basic solid-state p-n junction. Prerequisites: "C-" or better in (ECE 1240 OR ECE 1250) AND "C" or better in (MATH 1220 OR MATH 1320 OR MATH 1321 OR AP Calc BC score of 4 or higher) AND Full Major status in (Electrical Engineering OR Computer Engineering).
  • 3.00 Credits

    In this course students will learn: How to use Smith Charts; How antennas radiate, including directionality, radiation patterns, etc.; How electromagnetic waves radiated from antennas propagate via Maxwell's equations in various materials; and what happens when electromagnetic waves encounter objects (reflection, transmission, absorption, etc). Prerequisites: 'C' or better in MATH 2250 AND 'C-' or better in (PHYS 2220 OR PHYS 3220 OR AP Physics C Elec & Mag of 4+)) AND Full Major status in (Electrical Engineering OR Computer Engineering) Corequisites: ECE 3305.
  • 1.00 Credits

    In this course students will learn: (1) About transmission lines (what happens when the wires in a circuit are long relative to a wavelength) and how to use transmission lines to connect equipment (e.g. signal generators) to loads (e.g. antennas); (2) How to use Smith Charts; (3) How antennas radiate, including directionality, radiation patterns, etc.; (4) How electromagnetic waves radiated from antennas propagate via Maxwell's equations in various materials; and (5) What happens when electromagnetic waves encounter objects (reflection, transmission, absorption, etc). Corequisites: 'C-' or better in ECE 3300.
  • 4.00 Credits

    Transform domain analysis of passive circuits. Linear and time invariant systems in continuous-time and discrete-time domains. System representations using impulse-response functions, frequency responses and transfer functions. Realizations of linear time-invariant systems. Fourier analysis of continuous and discrete-time signals. Sampling theorem. Filter design from specifications. Prerequisites: "C-" or better in ECE 2240 AND "C" or better in (MATH 2210 OR MATH 2250) AND Full Major status in (Electrical Engineering OR Computer Engineering).
  • 3.00 Credits

    An introduction to probability theory and statistics, with an emphasis on solving problems in electrical and computer engineering. Topics in probability include discrete and continuous random variables, probability distributions, sums and functions of random variables, the law of large numbers, and the central limit theorem. Topics in statistics include sample mean and variance, estimating distributions, correlation, regression, and hypothesis testing. Engineering applications include failure analysis, process control, communication systems, and speech recognition. Prerequisites: "C-" or better in (MATH 1220 OR MATH 1320 OR MATH 1321) OR AP Calculus BC score of 4 or better.
  • 4.00 Credits

    Introduction to AC power generation, distribution, and use. Topics will include single-phase and 3-phase power, power factors and corrections, transformers, power distribution and the grid, generation plants, and some wiring and AC motors. Prerequisites: "C-" or better in (ECE 2210 OR ECE 2240).
  • 3.00 Credits

    This 3-credit course covers the fundamentals of the sensing, actuation, signal- processing, and control concepts underlying most robots and other intelligent physical systems. Transduction principles governing common sensors and actuators. Basic circuits and principles for the interfacing of sensors and actuators with embedded microcontrollers. Introduction to digital signal processing including intelligent thresholding, low- and high-pass filters, and sensor fusion. Introductory feedback control principles including PID and data-driven machine-learning methods including linear discriminate analysis, multi-layer perceptrons and convolutional neural networks. Hands-on hardware and software component in every lecture period. Final exam consists of a multifaceted team-based robotics competition. Prerequisites: 'C+' or better in ECE 1050 AND ECE 1240 AND ECE 1245
  • 4.00 Credits

    Techniques for reasoning about, designing, minimizing, and implementing digital circuits and systems. Combinational (logic and arithmetic) and sequential circuits are covered in detail leading up to the design of complete small digital systems using finite state machine controllers. Use of computer-aided tools for design, minimization, and simulation of circuits. Laboratory is included involving circuit implementation with MSI, LSI, and field programmable gate arrays. Prerequisites: 'C-' or better in (CS 1410 AND ((ECE 1240 AND ECE 1245) OR Corequisite of PHYS 2220)) AND Full Major status in (Electrical Engineering OR Computer Engineering).
  • 3.00 Credits

    Working in teams, students employ the concepts of digital logic design and computer organization to design, implement and test a computing system. Interface IO devices and develop associated software/firmware. Extensive use of CAD and software tools. Prerequisites: "C-" or better in ((CS 3700 OR ECE 3700) AND (CS 3810 OR ECE 3810)) AND Full Major status in (Electrical Engineering OR Computer Engineering).