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  • 3.00 Credits

    Theory of errors. High accuracy: multiplexers; voltage references; sample and hold circuits. Amplifiers: programmable gain; high speed voltage feedback; current feedback. Noise in integrated circuits. Pulse code modulation ADC; sigma delta ADC; oversampling; undersampling. Analog and digital audio systems. CD players. Superheterodyne and digital receivers. Signal transmission and conditioning. Hardware design techniques. Prerequisite: EE 4330 and 4210.
  • 3.00 Credits

    Advanced semiconductor materials and device concepts including noise in semiconductors, heterostructure and quantum fundamentals, high power materials and devices, high performance transistors including the MESFET, HEMT, and HBT. Also discusses GUNN and IMPATT diodes, Resonant Tunneling devices, and future computing devices based on the quantum properties of semiconductors. Prerequisite: EE 4340.
  • 3.00 Credits

    Optoelectronic properties of semiconductor materials and devices. Includes a review of the basic electronic properties of semiconductors materials, epitaxial growth, optical properties including absorption and emission of light, effects of quantum confinement and strain, and Heterostructures. Operation and optimization of basic optoelectronic devices including: photodetectors, LEDs Lasers, and modulators. Prerequisite: EE 4340.
  • 3.00 Credits

    Digital building blocks, stick diagrams, CMOS cells and arrays, CMOS digital subsystems and systems. Chip design software such as layout, simulators and digital synthesis using HDL. Digital design verification and timing issues. Prerequisite: EE 4360.
  • 3.00 Credits

    CMOS amplifiers, comparators, operational transconductance amplifiers, op-amps, D/A and A/D, signal sources, chip design, software and SPICE will be used. Prerequisite: EE 4360.
  • 3.00 Credits

    Examines the various methodologies used in the design of high-performance computer systems. Topics include CISC and RISC architecture and instruction sets, pipelining, instruction-level parallelism, memory hierarchy (including cache) design and computer networks. Prerequisite: EE 4390.
  • 3.00 Credits

    Representation of pose using Euler angles, quaternions and homogeneous coordinate transformations. Forward and inverse kinematics of rigid body manipulators. Velocity and force transformation in a rigid robot using Jacobians. Trajectory generation using splines. Robotic vision for depth measurement. Analysis of actual robotic systems. Prerequisite: ES 2250.
  • 3.00 Credits

    Theory of feedforward and recurrent neural networks. Supervised and unsupervised learning theories. Fuzzy logic and systems. Associative memories. Matching and self-organizing networks. Application of neural and fuzzy systems. Prerequisite: ES/COSC 3070, EE 3220.
  • 3.00 Credits

    Introduction to the field of digital speech processing and analysis. Speech production models. Analysis using LPC, spectrum, cepstrum, hidden Markov models. Pitch and formant estimation. Speech coding and compression. Speech and speaker recognition. Speech synthesis and enhancement. Prerequisite: EE 3220, EE 4220.
  • 3.00 Credits

    Provides a mathematical framework for describing three dimensional imaging and computer vision. Topics include 3-D coordinate transforms, image formation, camera calibration, reconstruction from two views, SIFT detection, hidden Markov models, Markov random fields, and "bag-of-words" visual description. Prerequisites: EE 4220 and MATH 2250.