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  • Introduction
  • Doctoral Programs
  • Interdepartmental
    Master of Science


    Departments:

  • Civil Engineering
  • Computer Science
  • Electrical and
    Computer Engineering

  • Mechanical and
    Industrial Engineering

  • Metallurgical and
    Materials Engineering


    Dr. Andrew Swift,
    Interim Dean
    Dr. Stephen Stafford,
    Associate Dean
    Dr. Darrell Schroder,
    Assistant Dean
    Engineering/Science Complex,
    Engineering Building,
    Room E230
    Phone: (915) 747-5460
    Fax: (915) 747-5616

  • Electrical and Computer Engineering
    Web site at: http://www.ece.utep.edu/index.cgi
    301B Engineering/Science Complex
    (915) 747-5470

    1.- Requirements for Admission
    2.- Requirements for the Degree
    3.- Specific Requirements for the Master of Science with a major in Electrical Engineering Degree
    4.- Specific Requirements for the Master of Science with a major in Computer Engineering Degree
    5.- General Courses
    6.- Electrical and Computer Engineering (EE) Courses
    7.- Doctoral Computer Engineering (COMP) Courses

    6.- Electrical and Computer Engineering (EE) Courses

    For Graduate Students Only

    1591 Individual Studies (0-0-1)
    2591 Individual Studies (0-0-2)
    3591 Individual Studies (0-0-3)
    Individual variable-credit research, design, or analysis on advanced phases of Electrical Engineering problems conducted under the direct supervision of a faculty member. A maximum of three credit hours may be applied toward the MS degree. Prerequisite: Permission of Graduate Advisor.

    1594 Graduate Research (0-0-1)
    2594 Graduate Research (0-0-2)
    3594 Graduate Research (0-0-3)
    4594 Graduate Research (0-0-4)
    5594 Graduate Research (0-0-5)
    Individual variable-credit research in electrical or computer engineering. Cannot be used to satisfy minimum degree requirements. Grade of S or U. Prerequisites: Graduate standing and instructor approval.

    1595 Graduate Seminar (1-0)
    Conferences and discussions of various topics in electrical and computer engineering by faculty, graduate students, and speakers from industry and other institutions. Required of all graduate students during each semester of full-time enrollment.

    3500 Advanced Mathematics for Engineers I (3-0)
    Random process fundamentals including spectral analysis; special classes of random processes; linear systems response to random processes; applications. Prerequisite: EE 3384 or STAT 3330 or equivalent.

    3501 Advanced Mathematics for Engineers II (3-0)
    A broad coverage of the field of numerical methods emphasizing computer techniques as they apply to Electrical Engineering. Topics generally include numerical integration and differentiation, boundary-value and eigenvalue-value problems, finite-difference and finite-elements methods, and solutions to partial, parabolic, and hyperbolic differential equations. Prerequisite: MATH 3226.

    3502 Linear Systems Analysis (3-0)
    Analysis of generalized linear systems through a state space approach. Relationships with frequency domain design. Modeling of physical systems. Controllabilty, observability, pole placement, and design of controllers and observers. Eigenstructures.

    3506 Antenna Theory (3-0)
    Fundamental theory of point sources; the antenna as an aperture; methods of analyzing and calculating characteristics of various types of antennas; self and mutual impedances of antennas; array of linear antennas; antenna measurement techniques. Prerequisite: EE 3321.

    3507 Modern Control Theory (3-0)
    Optimization theory and computer programming techniques as applied to practical engineering problems. Hamiltonian and LaGrange multipliers. Pontryagin's theory and dynamic programming, Lyapunov's method of steepest descent. Prerequisite: EE 3502 or EE 3464 or MECH 3411.

    3510 Computer Graphics (3-0)
    Advanced topics in two and three dimensional graphical techniques. Topics may vary, but course may not be repeated for credit.

    3511 Semiconductor Devices (3-0)
    Theory and application of advanced semiconductor devices including heterostructures, integrated circuits, semiconductor memories, charge transfer devices, thyristors, and microwave devices. Prerequisite: EE 3450 or equivalent.

    3512 Advanced Optoelectronic Devices (3-0)
    Theory and application of advanced photonic devices including injection lasers, photodiodes, infra-red detectors, solar cells, and electroluminescent displays. Prerequisite: EE 3511 or equivalent.

    3514 Ultrafast Electron Devices for Super Computers (3-0)
    Theory and applications of electron devices used in fast computers including high electron mobility transistors, optical logic gates, quantum well lasers, Josephson junction logic gates, and heterojunction bipolar transistors. Prerequisite: EE 3450 or equivalent.

    3515 Advanced Electromagnetic Theory (3-0)
    Theorems and concepts of uniqueness, equivalence, induction, reciprocity, and Green's functions. Application of plane, cylindrical, and spherical wave functions to resonators, waveguide, radiators, apertures, and scatterers. Prerequisite: EE 3321.

    3516 Active Circuits Analysis (3-0)
    Analysis of active networks; network sensitivity. Filter synthesis and design; immittance simulation. Prerequisites: EE 3340 and EE 3441.

    3517 Linear Integrated Circuit Application (3-0)
    Techniques of analysis and design of electronic circuits, using operational amplifiers, and linear integrated circuits such as multipliers, logarithmic amplifiers, and RC active filters. Prerequisite: EE 3340.

    3519 RF Circuit Design (3-0)
    Resonant circuits and impedance transformation. Small signal High-Frequency amplifiers. Sine Wave oscillators and phase lock loops. Mixers, AM, FM, and PM receivers and transmitters. Tuned power amplifiers. Prerequisites: EE 3340 and EE 3441.

    3523 Communication Theory (3-0)
    Source coding, generation, transmission, and detection of digital baseband and bandpass signals, optimum receivers, block and convolutional channel coding, adaptive equalization, encryption and decryption, and introduction to spread spectrum. Prerequisite: EE 3384.

    3524 Statistical Detection and Estimation Theory (3-0)
    Application of statistical decision theory and estimation theory to problems of communication systems and of radar and sonar. Narrowband signals, gaussian derived processes, hypothesis testing, detection of signals, and estimation of signal parameters. Prerequisite: EE 3500.

    3530 Data Communications (3-0)
    Study of modern telecommunication and data networks; packet and circuit switched networks; ATM; congestion control; mathematical modeling of networks; economics.

    3536 Fiber Optic Communication Systems (3-0)
    In depth study of dispersion and attenuation in optical fibers, non-linear propagation effects, optical amplifiers, sources and detectors, wavelength division multiplexing, coherent systems, performance evaluation of fiber optic systems, and system design considerations.

    3560 Computer Vision (3-0)
    Fundamental concepts associated with the construction of meaningful descriptions of physical objects from images; including image segmentation, two-dimensional and three-dimensional representations, knowledge representation, matching, and inference. Prerequisite: Instructor approval.

    3570 Operating Systems (3-0)
    Fundamental concepts as they apply to multiprogrammed, multiuser operating systems within distributed computer systems. Topics include an overview of the kernel, file systems, process control and scheduling, interprocess communication, memory management, and I/O. The internal algorithms of a contemporary operating system are examined. Prerequisite: CS 3475 or EE 3474.

    3571 Digital Signal Processing (3-0)
    A course emphasizing the theory behind the following: the Discrete Fourier Transform (DFT) and its role in the representation, analysis, and processing of periodic and finite-duration signals; Fast Fourier Transform (FFT) algorithms for efficient computation of the DFT; sample rate change and other basic multirate signal processing systems; FIR and IIR digital filter design procedures. Prerequisite: EE 3483 or instructor approval.

    3572 Image Processing (3-0)
    A course covering the following topics: point, algebraic and geometric operations on digital images; two-dimensional digital filtering and Fourier transforms; image enhancement, segmentation, restoration and compression techniques. Prerequisite: EE 3571 or instructor approval.

    3574 Advanced Digital System Design I (3-0)
    Modern logic design methodologies of large digital systems with standard SSI, MSI and LSI, including PLD's and microprocessors. Emphasis is placed on the use of multilevel digital simulation and hardware language description. Prerequisite: EE 3442 or equivalent.

    3575 Advanced Digital System Design II (3-0)
    Emphasis on the principles and techniques of testability design and testing of digital logic circuits, including test pattern generation and fault simulation. Prerequisite: EE 3574.

    3576 Computer Architecture I (3-0)
    Processing design, microprogramming, memory architecture, including memory hierarchy, cache and virtual memory, and pipelines. An introduction to multiprocessor configurations. Prerequisites: (1) EE 3442 and EE 3376 or (2)equivalent.

    3577 Computer Architecture II (2-3)
    Advanced topics in computer architecture, including parallel and distributed processing. Prerequisite: EE 3576.

    3578 Advanced VLSI Design (3-0)
    Important issues related to design of CAD tools for VLSI chip layout, testing, and simulation. Topics include area-time optimization, floor-plan and functional block placement, routing and functional testing for large systems. Prerequisite: EE 3475.

    3579 Network Protocols (3-0)
    The theory and application of protocols such as TCP, IP, Sockets, and RPCs that are employed in computer network communications. Concentrates on network protocols that are employed from the network, transport, and process layers of the simplified 4-layer model for computer communications. Prerequisite: EE 3570 or instructor approval.

    3589 Radar Signal Processing (3-0)
    Modern signal processing techniques for high range-resolution radar systems. One-and two-dimensional signals, high resolution radar, synthetic aperture radar, inverse synthetic aperture radar, radar tomography, ultrawideband radar. Prerequisite: EE 3489.

    3590 Special Topics (3-0)
    Advanced topics of contemporary interest in electrical or computer engineering. May be repeated for credit when topic varies. Prerequisite: Instructor approval.

    3596 Graduate Projects (0-0-3)
    Individual research, design, or analysis on advanced phases of electrical or computer engineering problems conducted under the direct supervision of a faculty member. The courses, including a written report, are required of all students in the non-thesis option. Prerequisite: Instructor approval.

    3597 Graduate Projects (0-0-3)
    Individual research, design, or analysis on advanced phases of electrical or computer engineering problems conducted under the direct supervision of a faculty member. The courses, including a written report, are required of all students in the non-thesis option. Prerequisites: EE 3596 and instructor approval.

    3598 Thesis (0-0-3)
    Initial work on the thesis.

    3599 Thesis (0-0-3)
    Continuous enrollment required while work on thesis continues. Prerequisite: EE 3598.



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