


 (003) (LecLabCredit Hours)
Description of simple physical models which account for electrical conductivity and thermal properties of solids. Basic crystal lattice structure, Xray diffraction and dispersion curves for phonons and electrons in reciprocal space. Energy bands, Fermi surfaces, metals, insulators and semiconductors, superconductivity and ferromagnetism. Typical text: Kittel, Introduction to Solid State Physics.
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 (003) (LecLabCredit Hours) An overview of microelectronics and photonics science and technology. It provides the student who wishes to specialize in their application, physics or fabrication with the necessary knowledge of how the different aspects are interrelated. It is taught in three modules: design and applications, taught by EE faculty; operation of electronic and photonic devices, taught by Physics faculty; fabrication and reliability, taught by the materials faculty.
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 (003) (LecLabCredit Hours) The general study of field phenomena; scattering and vector fields and waves; dispersion, phase, and group velocity; interference, diffraction, and polarization; coherence and correlation; and geometric and physical optics.
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 (003) (LecLabCredit Hours) The radar equation for pulses, signal to noise ratio, target cross section, and antenna parameters; Doppler radar, CW radar, multifrequency CW radar, FM radar, and chirp radar; tracking and acquisition radar, radar wave propagation; transmitter and receiver design;and interference considerations.
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 (003) (LecLabCredit Hours) This course will cover topics encompassing the fundamental subject matter for the design of optical systems. Topics will include optical system analysis, optical instrument analysis, applications of thinfilm coatings and optomechanical system design in the first term. The second term will cover the subjects of photometry and radiometry, spectrographic and spectrophotometric systems, infrared radiation measurement and instrumentation, lasers in optical systems and photonelectron conversion.
Prerequisites: EE 509 Intermediate Waves and Optics (003)(LecLabCredit Hours) The general study of field phenomena; scattering and vector fields and waves; dispersion, phase, and group velocity; interference, diffraction, and polarization; coherence and correlation; and geometric and physical optics. Close 
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 (303) (LecLabCredit Hours) This course will cover topics encompassing the fundamental subject matter for the design of optical systems. Topics will include optical system analysis, optical instrument analysis, applications of thinfilm coatings and optomechanical system design in the first term. The second term will cover the subjects of photometry and radiometry, spectrographic and spectrophotometric systems, infrared radiation measurement and instrumentation, lasers in optical systems and photonelectron conversion.
Prerequisites: EE 509 Intermediate Waves and Optics (003)(LecLabCredit Hours) The general study of field phenomena; scattering and vector fields and waves; dispersion, phase, and group velocity; interference, diffraction, and polarization; coherence and correlation; and geometric and physical optics. Close 
PEP 209 Modern Optics (303)(LecLabCredit Hours)
Concepts of geometrical optics for reflecting and refracting surfaces, thin and thick lens formulations, optical instruments in modern practice, interference, polarization and diffraction effects, resolving power of lenses and instruments, Xray diffraction, introduction to lasers and coherent optics, principles of holography, concepts of optical fibers, optical signal processing. Spring semester. Close 
PEP 509 Intermediate Waves and Optics (303)(LecLabCredit Hours) The general study of field phenomena; scalar and vector fields and waves; dispersion phase and group velocity; interference, diffraction and polarization; coherence and correlation; geometric and physical optics. Typical text: Hecht and Zajac, Optics. Spring semester. Close 
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 (303) (LecLabCredit Hours) This course covers the design and architecture of computer and digital systems in the system design region starting from the transistor/logic gate level to below the device driver level/system monitor level. The systems considered in the course will go beyond the computer chips or CPUs discussed in a typical computer architecture course, but will include complex logic devices such as application specific integrated circuits (ASICs), the coredesigns for field programmable gate arrays (FPGAs), systemonachip (SoC) designs, ARM, and other applicationspecific architectures. Printed circuit boardlevel architectural considerations for multiple complex digital circuits will also be discussed.
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 (003) (LecLabCredit Hours) Charged particle motion in electric and magnetic fields; electron and ion emission; ionsurface interaction; electrical breakdown in gases; dark discharges and DC glow discharges; confined discharge; AC, RF, and microwave discharges; arc discharges, sparks, and corona discharges; nonthermal gas discharges at atmospheric pressure; and discharge and lowtemperature plasma generation. Typical texts: J.R. Roth, Industrial Plasma Engineering: Principles, Vol. 1 and Y.P. Raizer, Gas discharge Physics.
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 (003) (LecLabCredit Hours) Electrostatics; CoulombGauss law; PoissonLaplace equations; boundary value problems; image techniques, and dielectric media; magnetostatics; multipole expansion, electromagnetic energy, electromagnetic induction, Maxwell's equations, electromagnetic waves, waves in bounded regions, wave equations and retarded solutions, simple dipole antenna radiation theory, and transformation law of electromagnetic fields. Spring semester. Typical text: Reitz, Milford and Christy, Foundation of Electromagnetic Theory.
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 (003) (LecLabCredit Hours) Review of mathematics of signals and systems including sampling theorem, Fourier transform, ztransform, Hilbert transform; algorithms for fast computation: DFT, DCT computation, convolution; filter design techniques: FIR and IIR filter design, time and frequency domain methods, window method and other approximation theory based methods; structures for realization of discrete time systems: direct form, parallel form, lattice structure and other statespace canonical forms (e.g., orthogonal filters and related structures); roundoff and quantization effects in digital filters: analysis of sensitivity to coefficient quantization, limit cycle in IIR filters, scaling to prevent overflow, role of special structures.
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 (003) (LecLabCredit Hours) Embedded systems have emerged as a primary application area, highlighting the cointegration of applicationspecific hardware components with programmable, flexible, adaptable, and versatile software components. Such systems have been one of the drivers of important new computing principles that play an important role in achieving optimal performance of the overall system. This course will provide the student with a background in these new computing principles and their application to embedded systems. Representative topics include emerging computing paradigms in the areas of contextaware pervasive systems, spatiotemporal access control with distributed software agents, vehicular computing, information systems cryptography, trust and privacy in mobile environments, locationaware services, RFID systems, wireless medical networks, and urban sensing.
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 (003) (LecLabCredit Hours) This course exposes the student to the physical principles underlying remote sensing of ocean, atmosphere, and land by electromagnetic and acoustic passive and active sensors: radars, lidars, infrared and microwaves thermal sensors, sonars, sodars, infrasound/seismic detectors. Topics include fundamental concepts of electromagnetic and acoustic wave interactions with oceanic, atmospheric, and land environment, as well as with natural and manmade objects. Examples from selected sensors will be used to illustrate the information extraction process, and applications of the data for environmental monitoring, oceanography, meteorology, and security/military objectives.
Prerequisites: E 246 Electronics and Instrumentation
(303)(LecLabCredit Hours) Review of AC analysis, phasors, power, energy, node equations, transformers, maximum power transfer, Laplace transforms; Fourier series and transforms; filters; Bode plots; opamps, ideal, difference, summing, integrating; Wheatstone bridge; strain gauge; position & pressure transducers; thermistors; instrumentation amplifiers; ideal diodes, full & ½ wave rectifiers; battery eliminator design; nonideal diodes, nonlinear analysis; junction transistors, DC models, saturation and cutoff; Boolean algebra; logic gates; A to D converters. Close 
PEP 112 Electricity and Magnetism (303)(LecLabCredit Hours) Coulomb’s law, concepts of electric field and potential, Gauss’ law, capacitance, current and resistance, DC and RC transient circuits, magnetic fields, Ampere’s law, Faraday’s law of induction, inductance, A/C circuits, electromagnetic oscillations, Maxwell’s equations and electromagnetic waves. Close 
PEP 201 Physics II for Engineering Students (233)(LecLabCredit Hours) Simple harmonic motion, oscillations and waves; waveparticle dualism; the Schrödinger equation and its interpretation; wave functions; the Heisenberg uncertainty principle; quantum mechanical tunneling and application; quantum mechanics of a particle in a "box," the hydrogen atom; electronic spin; properties of many electron atoms; atomic spectra; principles of lasers and applications; electrons in solids; conductors and semiconductors; the np junction and the transistor; properties of atomic nuclei; radioactivity; fusion and fission. Close 
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 (003) (LecLabCredit Hours) This course introduces fundamentals of semiconductors and basic building blocks of semiconductor devices that are necessary for understanding semiconductor device operations. It is for firstyear graduate students and upperclass undergraduate students in electrical engineering, applied physics, engineering physics, optical engineering and materials engineering who have no previous exposure to solid state physics and semiconductor devices. Topics covered will include description of crystal structures and bonding; introduction to statistical description of electron gas; freeelectron theory of metals; motion of electrons in periodic latticeenergy bands; Fermi levels; semiconductors and insulators; electrons and holes in semiconductors; impurity effects; generation and recombination; mobility and other electrical properties of semiconductors; thermal and optical properties; pn junctions; metalsemiconductor contacts.
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 (003) (LecLabCredit Hours) This course introduces operating principles and develops models of modern semiconductor devices that are useful in the analysis and design of integrated circuits. Topics covered include: charge carrier transport in semiconductors; diffusion and drift; injection and lifetime; pn junction devices; bipolar junction transistors; metaloxidesemiconductor field effect transistors and high electron mobility transistors; microwave devices; lightemitting diodes, semiconductor lasers, and photodetectors; and integrated devices.
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 (003) (LecLabCredit Hours) This course offers an introduction to softwaredefined radios, devices that can be programmed to work with a variety of different radios. The course covers the following topics: software radio architectures, existing software radio efforts, a review of basic receiver design principles, and application to software radios. Basic questions, design tradeoffs, and architectural issues are also discussed. Several case studies of software radios will be discussed throughout the course.
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 (003) (LecLabCredit Hours) An introduction to classic and modern feedback control that does not presume an undergraduate background in control. Transfer function and state space modeling of linear dynamic systems, closedloop response, root locus, proportional, integral, and derivative control, compensators, controllability, observability, pole placement, linear–quadratic cost controllers, and Lyapunov stability. MATLAB simulations in control system design.
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 (003) (LecLabCredit Hours) This courses serves as a broad introduction to the several technologies and applications of wireless communications systems. The emphasis is on providing a reasonable mixture of information leading to a broad understanding of the technical issues involved, with modest depth in each of the topics. As an integrating course, the topics range from the physics of wave generation/propagation/reception through the circuit/component issues, to the signal processing concepts, to the techniques used to impress the information (voice or data) on a wireless channel, to overviews of representative applications including current generation systems and next generation systems. Upon completion of this course, the student shall understand the manner in which the more detailed information in the other three courses is integrated to create a complete system.
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 (003) (LecLabCredit Hours) Wireless systems and their unique vulnerabilities to attack; system security issues in the context of wireless systems, including satellite, terrestrial microwave, military tactical communications, public safety, cellular and wireless LAN networks; security topics: confidentiality/privacy, integrity, availability and control of fraudulent usage of networks. Issues addressed include jamming, interception and means to avoid them. Case studies and student projects are important components of the course.
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 (003) (LecLabCredit Hours) Physical design of wireless communication systems, emphasizing present and next generation architectures. Impact of nonlinear components on performance; noise sources and effects; interference; optimization of receiver and transmitter architectures; individual components (LNAs, power amplifiers, mixers, filters, VCOs, phaselocked loops, frequency synthesizers, etc.); digital signal processing for adaptable architectures; analogdigital converters; new component technologies (SiGe, MEMS, etc.); specifications of component performance; reconfigurability and the role of digital signal processing in future generation architectures; direct conversion; RF packaging; minimization of power dissipation in receivers.
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 (003) (LecLabCredit Hours) This course addresses the fundamentals of wireless networking, including architectures, protocols and standards. It describes concepts, technology and applications of wireless networking as used in current and nextgeneration wireless networks. It explains the engineering aspects of network functions and designs. Issues such as mobility management, wireless enterprise networks, GSM, network signaling, WAP, mobile IP and 3G systems are covered.
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 (003) (LecLabCredit Hours) A study of microwave techniques at both the component and system level. Topics include wave propagation and transmission, uniform and nonuniform transmission lines, rectangular and circular waveguide, losses, microstrip, waveguide excitation, modal expansion of waveguide fields, perturbation theory, ferrites, scattering parameters for lumped and distributed systems, general theory of microwave junctions waveguide components including tee's, circulators, isolators, phase shifters, splitters, and directional couplers.
Prerequisites: EE 542 Electromagnetism (003)(LecLabCredit Hours) Electrostatics; CoulombGauss law; PoissonLaplace equations; boundary value problems; image techniques, and dielectric media; magnetostatics; multipole expansion, electromagnetic energy, electromagnetic induction, Maxwell's equations, electromagnetic waves, waves in bounded regions, wave equations and retarded solutions, simple dipole antenna radiation theory, and transformation law of electromagnetic fields. Spring semester. Typical text: Reitz, Milford and Christy, Foundation of Electromagnetic Theory. Close 
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 (003) (LecLabCredit Hours) A more advanced treatment of microwave systems. Topics include coupled mode theory, periodic structures, cavities, cavity excitation and perturbation, circuit representations, broadband matching, microwave filter theory, antenna theory, including various types of wire antennas, horns, dishes, antenna arrays, phased arrays, sources, detectors, modulators, limiters, opticalmicrowave interaction, and microwave signal processing. Topics may vary to accommodate specific interests.
Prerequisites: EE 587 Microwave Engineering I (003)(LecLabCredit Hours) A study of microwave techniques at both the component and system level. Topics include wave propagation and transmission, uniform and nonuniform transmission lines, rectangular and circular waveguide, losses, microstrip, waveguide excitation, modal expansion of waveguide fields, perturbation theory, ferrites, scattering parameters for lumped and distributed systems, general theory of microwave junctions waveguide components including tee's, circulators, isolators, phase shifters, splitters, and directional couplers. Close 
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 (303) (LecLabCredit Hours) Electric power systems provide the essential infrastructure upon which the modern industrial society is built. This course deals with the fundamental concepts in Power Systems. Topics covered will describe how electrical power is created, transmitted, and effectively used, including generators, transmission lines, transformers, and protection devices.
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 (303) (LecLabCredit Hours) The course will cover the evolution of the smart grid, overview of energy production, the role of telecommunication technologies in efficient transmission, self healing networks that can withstand a failure in its transmission paths, flow of electricity in the system through intelligent metering and sensors networks, which are the true enablers of smart grid. The course will also explain risks to smart grid and protective measures to ensure system integrity while supplying energy at greater reliability and economy.
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 (003) (LecLabCredit Hours) This course deals with the electrical, chemical, environmental and mechanical driving forces that compromise the integrity and lead to the failure of electronic materials and devices. Both chip and packaging level failures will be modeled physically and quantified statistically in terms of standard reliability mathematics. On the packaging level, thermal stresses, solder creep, fatigue and fracture, contact relaxation, corrosion and environmental degradation will be treated.
Prerequisites: EE 507 Introduction to Microelectronics and Photonics (003)(LecLabCredit Hours) An overview of microelectronics and photonics science and technology. It provides the student who wishes to specialize in their application, physics or fabrication with the necessary knowledge of how the different aspects are interrelated. It is taught in three modules: design and applications, taught by EE faculty; operation of electronic and photonic devices, taught by Physics faculty; fabrication and reliability, taught by the materials faculty. Close 
MT 507 Introduction to Microelectronics and Photonics (003)(LecLabCredit Hours) An overview of microelectronics and photonics science and technology. It provides the student who wishes to specialize in their application, physics or fabrication with the necessary knowledge of how the different aspects are interrelated. It is taught in three modules: design and applications, taught by EE faculty; operation of electronic and photonic devices, taught by physics faculty; fabrication and reliability, taught by the materials faculty. Close 
PEP 507 Introduction to Microelectronics and Photonics (303)(LecLabCredit Hours) An overview of Microelectronics and Photonics Science and Technology. It provides the student who wishes to specialize in the application, physics or fabrication with the necessary knowledge of how the different aspects are interrelated. It is taught in three modules: design and applications, taught by EE faculty; operation of electronic and photonic devices, taught by Physics faculty; fabrication and reliability, taught by the Materials faculty. Close 
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 (003) (LecLabCredit Hours) Deals with aspects of the technology of processing procedures involved in the fabrication of microelectronic devices and microelectromechanical systems (MEMS). Students will become familiar with various fabrication techniques used for discrete devices as well as largescale integrated thinfilm circuits. Students will also learn that MEMS are sensors and actuators that are designed using different areas of engineering disciplines and they are constructed using a microlithographicallybased manufacturing process in conjunction with both semiconductor and micromachining microfabrication technologies. Corequisites: EE 507 Introduction to Microelectronics and Photonics (003)(LecLabCredit Hours) An overview of microelectronics and photonics science and technology. It provides the student who wishes to specialize in their application, physics or fabrication with the necessary knowledge of how the different aspects are interrelated. It is taught in three modules: design and applications, taught by EE faculty; operation of electronic and photonic devices, taught by Physics faculty; fabrication and reliability, taught by the materials faculty. Close 
MT 501 Introduction to Materials Science and Engineering (003)(LecLabCredit Hours) An introduction to the structures/properties relationships of materials principally intended for students with a limited background in the field of materials science. Topics include: structure and bonding, thermodynamics of solids, alloys and phase diagrams, mechanical behavior, electrical properties and the kinetics of solid state reactions. The emphasis of this subject is the relationship between structure and composition, processing (and synthesis), properties and performance of materials. Close 
MT 507 Introduction to Microelectronics and Photonics (003)(LecLabCredit Hours) An overview of microelectronics and photonics science and technology. It provides the student who wishes to specialize in their application, physics or fabrication with the necessary knowledge of how the different aspects are interrelated. It is taught in three modules: design and applications, taught by EE faculty; operation of electronic and photonic devices, taught by physics faculty; fabrication and reliability, taught by the materials faculty. Close 
PEP 501 Fundamentals of Atomic Physics (303)(LecLabCredit Hours)
Electrolysis, Brownian motion; charge and mass of electrons and ions; Zeeman effect; photoelectric effect; reflection, refraction, diffraction, absorption, and scattering of Xrays; Compton effect; diffraction of electrons; uncertainty principle; electron optics; Bohr theory of atom; atomic spectra and electron distribution; radioactivity; disintegration of nuclei; nuclear processes; nuclear energy; and fission. Typical text: Weidner and lls, Elementary Modern Physics. Close 
PEP 507 Introduction to Microelectronics and Photonics (303)(LecLabCredit Hours) An overview of Microelectronics and Photonics Science and Technology. It provides the student who wishes to specialize in the application, physics or fabrication with the necessary knowledge of how the different aspects are interrelated. It is taught in three modules: design and applications, taught by EE faculty; operation of electronic and photonic devices, taught by Physics faculty; fabrication and reliability, taught by the Materials faculty. Close 
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 (003) (LecLabCredit Hours) The theory of linear algebra with application to state space analysis. Topics include CauchyBinet and Laplace determinant theorems, system of linear equations; linear transformations, basis and rank; Gaussian elimination; LU and congruent transformations; GrammSchmidt; eigenvalues, eigenvectors and similarity transformations; canonical forms; functions of matrices; singular value decomposition; generalized inverses; norm of a matrix; polynomial matrices; matrix differential equations; state space; controllability and observability.
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 (003) (LecLabCredit Hours) Fourier transforms; distribution theory; Gibbs phenomena; Shannon sampling; Poisson sums; discrete and fast Fourier transforms; Laplace transforms; ztransforms; the uncertainty principle; Hilbert transforms; computation of inverse transforms by contour integration; stability and realization theory of linear, time invariant, continuous and discrete systems.
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 (003) (LecLabCredit Hours) Axioms of probability; discrete and continuous random vectors; functions of random variables; expectations, moments, characteristic functions, and momentgenerating functions; inequalities, convergence concepts, and limit theorems; central limit theorem; and characterization of simple stochastic processes: widesense stationality and ergodicity.
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 (003) (LecLabCredit Hours) Introduction and review of probability as a measure, measure theoretic notions of random variables and stochastic processes, discrete time and continuous time Markov chains, renewal processes, delayed renewal processes, convergence of random sequences, martingale processes, stationarity and ergodicity. Applications of these topics with examples from networked communications, wireless communications, statistical signal processing and game theory.
Prerequisites: EE 605 Probability and Stochastic Processes I (003)(LecLabCredit Hours) Axioms of probability; discrete and continuous random vectors; functions of random variables; expectations, moments, characteristic functions, and momentgenerating functions; inequalities, convergence concepts, and limit theorems; central limit theorem; and characterization of simple stochastic processes: widesense stationality and ergodicity.
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 (003) (LecLabCredit Hours) Engineering, computational science and business students tackle various kinds of reallife optimization problems occurring in areas such as information theory, wireless communications, VLSI design, design and analysis of networks, optimal decision making etc. This course will provide a comprehensive coverage of several aspects of applied modeling and optimization. Complexity issues and numerical techniques (classical and nonclassical techniques) to solve optimization problems will be the main thrust. Example problems arising in electrical engineering, computer engineering and business will be extensively used to illustrate the different optimization algorithms. This course will be computer projects based. Software packages such as MAPLE, MATLAB, CPLEX etc. will be used.
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 (003) (LecLabCredit Hours) Review of probability theory with applications to digital communications, digital modulation techniques, receiver design, bit error rate calculations, bandwidth efficiency calculations, convolutional encoding, bandwidth efficient coded modulation, wireless fading channel models, and shannon capacity, software simulation of communication systems.
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 (003) (LecLabCredit Hours) Errorcontrol mechanisms; Elements of algebra; Linear block codes; Linear cyclic codes; fundamentals of convolutional codes; Viterbi decoding codes in mobile communications; Trelliscoded modulation; concatenated coding systems and turbo codes; BCH codes; ReedSolomon codes; implementation architectures and applications of RS codes; ARQ and interleaving techniques.
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 (003) (LecLabCredit Hours) Waveform characterization and modeling of speech/image sources; quantization of signals; uniform, nonuniform and adaptive quantizing; Pulse Code Modulation (PCM) systems; Differential PCM (DPCM); linear prediction theory, adaptive prediction; Deltamodulation and sigmadelta modulation systems; subband coding with emphasis on speech coding; data compression methods like Huffman coding, ZivLempel coding and run length coding.
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 (003) (LecLabCredit Hours) Brief introduction to Information Theory; entropy and rate; KraftMcMillan inequality; entropy codes  Huffman and arithmetic codes; scalar quantizationquantizer design issues, the Lloyd quantizer and the LloydMax quantizer; vector quantization  LBG algorithm, other quantizer design algorithms; structured VQs; entropy constrained quantization; bit allocation techniques: generalized BFOS algorithm; brief overview of linear algebra; transform coding: KLT, DCT, LOT; subband coding; wavelets; wavelet based compression algorithms (third generation image compression schemes) EZW algorithm, the SPIHT algorithm and the EBCOT algorithm; video compression: motion estimation and compensation; image and video coding standards: JPEG/ JPEG 2000, MPEG, H.263, H.263+; Source coding and error resilience.
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 (003) (LecLabCredit Hours) This course teaches digital signal processing techniques for wireless communications. It consists of two parts. Part 1 covers basic DSP fundamentals, such as DFT, FFT, IIR and FIR filters and DSP algorithms (ZF, ML, MMSE). Part 2 covers DSP applications in wireless communications. Various physical layer issues in wireless communications are addressed, including channel estimation, adaptive equalization, synchronization, interference cancellation, OFDM, multiuser detection and rake receiver in CDMA, spacetime coding and smart antennae.
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 (003) (LecLabCredit Hours) This course reviews multicarrier modulation (MCM) methods which offer several advantages over conventional single carrier systems for broadband data transmission. Topics include fundamentals of MCM, where the data stream is divided into several parallel bit streams, each of which has a much lower bit rate, to exploit multipath diversity and practical applications. It will cover new advances, as well as the present core technology. Handson learning with computerbased approaches will include simulation in MATLAB and stateoftheart high level software packages to design and implement modulation, filtering, synchronization, and demodulation.
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 (003) (LecLabCredit Hours) Introduction to signal detection and estimation principles with applications in wireless communication systems. Topics include optimum signal detection rules for simple and composite hypothesis tests, Chernoff bound and asymptotic relative efficiency, sequential detection and nonparametric detection; optimum estimation including Bayesian estimation and maximum likelihood, Fisher information and CramerRao bound, linear estimation, least squares and weight least squares.
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  (003) (LecLabCredit Hours) Mathematical modeling of signal processing; WienerKalman filters, LP, and LMS methods; estimation and detection covering minimumvarianceunbiased (MVUB) and maximum likelihood (ML) estimators, CramerRao bound, Bayes and NeymanPearson detectors, and CFAR detectors; methods of least squares (LS): batch mode, weighted LS, total LS (TLS), and recursive LS (RLS); SVD and high resolution spectral estimation methods including MUSIC, modified FBLP, and MinNorm; higher order spectral analysis (HOSA) with applications of current interest; PDA and JPDA data association trackers with MultiDATTM; and applied computer projects on major topics.
Prerequisites: EE 616 (003)(LecLabCredit Hours) Introduction to signal detection and estimation principles with applications in wireless communication systems. Topics include optimum signal detection rules for simple and composite hypothesis tests, Chernoff bound and asymptotic relative efficiency, sequential detection and nonparametric detection; optimum estimation including Bayesian estimation and maximum likelihood, Fisher information and CramerRao bound, linear estimation, least squares and weight least squares.
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 (003) (LecLabCredit Hours) Operating principle, modeling and fabrication of solid state devices for modern optical and electronic system implementation; recent developments in solid state devices and integrated circuits; devices covered include bipolar and MOS diodes and transistors, MESFET, MOSFET transistors, tunnel, IMPATT and BARITT diodes, transferred electron devices, light emitting diodes, semiconductor injection and quantumwell lasers, PIN and avalanche photodetectors.
Prerequisites: EE 503 (003)(LecLabCredit Hours)
Description of simple physical models which account for electrical conductivity and thermal properties of solids. Basic crystal lattice structure, Xray diffraction and dispersion curves for phonons and electrons in reciprocal space. Energy bands, Fermi surfaces, metals, insulators and semiconductors, superconductivity and ferromagnetism. Typical text: Kittel, Introduction to Solid State Physics.
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MT 503 (003)(LecLabCredit Hours)
Description of simple physical models which account for electrical conductivity and thermal properties of solids. Basic crystal lattice structures, Xray diffraction, and dispersion curves for phonons and electrons in reciprocal space. Energy bands, Fermi surfaces, metals, insulators, semiconductors, superconductivity, and ferromagnetism. Fall semester. Typical text: Kittel, Introduction to Solid State Physics
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PEP 503 (303)(LecLabCredit Hours)
Description of simple physical models which account for electrical conductivity and thermal properties of solids. Basic crystal lattice structures, Xray diffraction and dispersion curves for phonons and electrons in reciprocal space. Energy bands, Fermi surfaces, metals, insulators, semiconductors, superconductivity and ferromagnetism. Fall semester. Typical text: Kittel, Introduction to Solid State Physics.
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 (003) (LecLabCredit Hours) Combinatorial reliability including series, parallel, cascade, and multistage networks; Markov, Weibull, and exponential failure models; redundancy; repairability; marginal and catastrophic failures; and parameter estimation.
Prerequisites: EE 605 (003)(LecLabCredit Hours) Axioms of probability; discrete and continuous random vectors; functions of random variables; expectations, moments, characteristic functions, and momentgenerating functions; inequalities, convergence concepts, and limit theorems; central limit theorem; and characterization of simple stochastic processes: widesense stationality and ergodicity.
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 (003) (LecLabCredit Hours) Methods for analysis and design of nonlinear control systems emphasizing Lyapunov theory. Second order systems, phase plane descriptions of ononlinerar phenomena, limit cycles, stability, direct and indirect method of Lyapunov, linearization, feedback linearization, Lyapunovbased design, and backstepping.
Prerequisites: EE 478 (303)(LecLabCredit Hours) Introduction to the theory and design of linear feedback and control systems in both digital and analog form, review of ztransform and Laplace transforms, time domain performance error of feedback systems, PID controller, frequency domain stability, including Nyquist stability in both analog and digital form, frequency domain performance criteria and design, such as via the gain and phase plots, state variable analysis of linear dynamical systems, elementary concepts of controllability, observability and stability via state space methods, and pole placement and elements of state variable design for singleinput singleoutput systems.
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 (003) (LecLabCredit Hours) Components for and design of optical communication systems; propagation of optical signals in single mode and multimode optical fibers; optical sources and photodetectors; optical modulators and multiplexers; optical communication systems: coherent modulators, optical fiber amplifiers and repeaters; transcontinental and transoceanic optical telecommunication system design; optical fiber LANs.
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 (003) (LecLabCredit Hours) The application of electronic principles and analog and digital integrated circuits to the design of industrial and scientific instrumentation, process control, and robotics and automation. Topics include sensors and transducers, analog and digital signal conditioning and processing, data conversion, data transmission and interface standards, machine vision, control, and display. Microcomputers, microprocessors, and their support components are applied as system elements.
Prerequisites: EE 603 (003)(LecLabCredit Hours) Fourier transforms; distribution theory; Gibbs phenomena; Shannon sampling; Poisson sums; discrete and fast Fourier transforms; Laplace transforms; ztransforms; the uncertainty principle; Hilbert transforms; computation of inverse transforms by contour integration; stability and realization theory of linear, time invariant, continuous and discrete systems.
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 (003) (LecLabCredit Hours) The application of electronic principles and analog and digital integrated circuits to the design of industrial and scientific instrumentation, process control, and robotics and automation. Topics include sensors and transducers, analog and digital signal conditioning and processing, data conversion, data transmission and interface standards, machine vision, control, and display. Microcomputers, microprocessors, and their support components are applied as system elements.
Prerequisites: EE 603 (003)(LecLabCredit Hours) Fourier transforms; distribution theory; Gibbs phenomena; Shannon sampling; Poisson sums; discrete and fast Fourier transforms; Laplace transforms; ztransforms; the uncertainty principle; Hilbert transforms; computation of inverse transforms by contour integration; stability and realization theory of linear, time invariant, continuous and discrete systems.
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 (003) (LecLabCredit Hours) Advanced topics in autonomous and intelligent mobile robots, with emphasis on planning algorithms and cooperative control. Robot kinematics, path and motion planning, formation strategies, cooperative rules, and behaviors. The application of cooperative control spans from natural phenomena of groupings, such as fish schools, bird flocks, and deer herds, to engineering systems such as mobile sensing networks and vehicle platoon.
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 (003) (LecLabCredit Hours) State space description of linear dynamical systems; canonical forms; solutions of state equations; controllability, observability, and minimality; Lyapunov stability; pole placement; asymptotic observer and compensator design andquadratic regulator theory; extensions to multivariable systems; matrix fraction description approach; and elements of timevarying systems.
Prerequisites: EE 602 (003)(LecLabCredit Hours) The theory of linear algebra with application to state space analysis. Topics include CauchyBinet and Laplace determinant theorems, system of linear equations; linear transformations, basis and rank; Gaussian elimination; LU and congruent transformations; GrammSchmidt; eigenvalues, eigenvectors and similarity transformations; canonical forms; functions of matrices; singular value decomposition; generalized inverses; norm of a matrix; polynomial matrices; matrix differential equations; state space; controllability and observability.
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EE 603 (003)(LecLabCredit Hours) Fourier transforms; distribution theory; Gibbs phenomena; Shannon sampling; Poisson sums; discrete and fast Fourier transforms; Laplace transforms; ztransforms; the uncertainty principle; Hilbert transforms; computation of inverse transforms by contour integration; stability and realization theory of linear, time invariant, continuous and discrete systems.
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 (003) (LecLabCredit Hours) Basic concepts, models and techniques; direct sequence frequency hopping, time hopping, chirp and hybrid systems, jamming game, antijam systems, analysis of coherent and noncoherent systems; synchronization and demodulation; multiple access systems; ranging and tracking; pseudonoise generators.
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 (003) (LecLabCredit Hours) Introduction to wireless networks and layered architecture, principles of crosslayer design, impact of crosslayer interactions for different architectures: cellular and ad hoc networks, model abstractions for layers in crosslayer design for different architectures (cellular and ad hoc networks), quality of service (QoS) provisioning at different layers of the protocol stack with emphasis on physical layer, medium access control (MAC) and network layers, examples of crosslayer design in the literature: joint optimizations involving beamforming, interference cancellation techniques, MAC protocols, admission control, power control, routing and adaptive modulation.
Prerequisites: EE 605 (003)(LecLabCredit Hours) Axioms of probability; discrete and continuous random vectors; functions of random variables; expectations, moments, characteristic functions, and momentgenerating functions; inequalities, convergence concepts, and limit theorems; central limit theorem; and characterization of simple stochastic processes: widesense stationality and ergodicity.
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NIS 605 (303)(LecLabCredit Hours) Axioms of probability; discrete and continuous random vectors; functions of random variables; expectations, moments, characteristic functions, and momentgenerating functions; inequalities, convergence concepts, and limit theorems; central limit theorem; and characterization of simple stochastic processes: widesense stationality and ergodicity.
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 (003) (LecLabCredit Hours) Review of mathematics of signals and systems including sampling theorem, Fourier transform, ztransform, Hilbert transform; algorithms for fast computation: DFT, DCT computation, convolution; filter design techniques: FIR and IIR filter design, time and frequency domain methods, window method and other approximation theory based methods; structures for realization of discrete time systems: direct form, parallel form, lattice structure and other statespace canonical forms (e.g., orthogonal filters and related structures); roundoff and quantization effects in digital filters: analysis of sensitivity to coefficient quantization, limit cycle in IIR filters, scaling to prevent overflow, role of special structures.
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 (003) (LecLabCredit Hours) Implementation of digital filters in high speed architectures; multirate signal processing: Linear periodically time varying systems, decimators and expanders, filter banks, interfacing digital systems operating at multiple rates, elements of subband coding and wavelet transforms; signal recovery from partial data: from zero crossing, level crossing, phase only, magnitude only data; elements of spectral estimation: MA, R & ARMA models. lattice, Burg methods, MEM.
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 (003) (LecLabCredit Hours) Mathematics of multidimensional (MD) signals and systems; frequency and state space description of MD systems; multidimensional FFT; MD recursive and nonrecursive filters, velocity and isotropic filters, their stability and design; MD spectral estimation with applications in array processing; MD signal recovery from partial information such as magnitude, phase, level crossing etc.; MD subband coding for image compression; selected topics from computer aided tomography and synthetic aperture radar.
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 (003) (LecLabCredit Hours) An introduction to information theory methods used in the analysis and design of communication systems. Typical topics include: entropy, relative entropy and mutual information; the asymptotic equipartition property; entropy rates of stochastic process; data compression; Kolmogorov complexity; channel capacity; differential entropy; the Gaussian channel; maximum entropy and mutual information; rate distortion theory; network information theory; algebraic codes.
Prerequisites: EE 605 (003)(LecLabCredit Hours) Axioms of probability; discrete and continuous random vectors; functions of random variables; expectations, moments, characteristic functions, and momentgenerating functions; inequalities, convergence concepts, and limit theorems; central limit theorem; and characterization of simple stochastic processes: widesense stationality and ergodicity.
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 (003) (LecLabCredit Hours) Part I: Introduction to game theory: games in strategic form and Nash equilibrium, Existence and properties of Nash equilibrium, Pareto efficiency, Extensive form games, repeated games, Bayesian games and Bayesian equilibrium, types of games and equilibrium properties, learning in games. Part II: Applications for wireless networks: resource allocation, enforcing cooperation in ad hoc networks, cognitive radios.
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 (003) (LecLabCredit Hours) Introduction to wireless communication systems; the concept of frequency reuse; basic planning of a cellular system, elements of cellular radio design system; propagation characteristics of cellular radio channels; frequency management, channel allocation and handoff mechanisms; specifications of digital cellular systems in USA and Europe; Spread spectrum cellular communications; elements of cordless communication systems.
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 (003) (LecLabCredit Hours) Overview of communication theory, modulation techniques, conventional multiple access schemes, and SS/TDMA; satellite and frequency allocation, analysis of satellite link, and identification of the parameters necessary for the link calculation; modulation and coding; digital modulation methods and their comparison; error correction coding for the satellite channel, including Viterbi decoding and system performance; synchronization methods and carrier recovery; and effects of impairment on the channel.
Prerequisites: EE 603 (003)(LecLabCredit Hours) Fourier transforms; distribution theory; Gibbs phenomena; Shannon sampling; Poisson sums; discrete and fast Fourier transforms; Laplace transforms; ztransforms; the uncertainty principle; Hilbert transforms; computation of inverse transforms by contour integration; stability and realization theory of linear, time invariant, continuous and discrete systems.
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 (003) (LecLabCredit Hours) An introduction to twodimensional linear systems, scalar diffraction theory, and Fresnel and Fraunhofer diffraction. Applications of diffraction theory to thin lenses, optical imaging systems, spatial filtering, optical information processing, and holography.
Prerequisites: EE 603 (003)(LecLabCredit Hours) Fourier transforms; distribution theory; Gibbs phenomena; Shannon sampling; Poisson sums; discrete and fast Fourier transforms; Laplace transforms; ztransforms; the uncertainty principle; Hilbert transforms; computation of inverse transforms by contour integration; stability and realization theory of linear, time invariant, continuous and discrete systems.
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 (003) (LecLabCredit Hours) This courses serves as a broad introduction to the several technologies and applications of wireless communications systems. The emphasis is on providing a reasonable mixture of information leading to a broad understanding of the technical issues involved, with modest depth in each of the topics. As an integrating course, the topics range from the physics of wave generation/propagation/reception through the circuit/component issues, to the signal processing concepts, to the techniques used to impress the information (voice or data) on a wireless channel, to overviews of representative applications including current generation systems and next generation systems. Upon completion of this course, the student shall understand the manner in which the more detailed information in the other three courses is integrated to create a complete system.
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 (003) (LecLabCredit Hours) Provides depth in the several topics related to signal processing and data processing that appear within wireless communications systems. The treatment is mathematical, providing depth in the analytic formulations and analysis techniques. Digital signal processing techniques will be given particular emphasis, recognizing their considerable influence on present and emerging designs. However, these digital signal processing techniques will be supplemented by analog signal processing techniques will be supplemented by analog signal processing techniques, which continue to be important for frontends of receivers (and will remain important as carrier frequencies continue to migrate to higher frequencies). In addition to covering the mathematical principles of digital and analog signal processing, the course will cover contemporary digital signal processors. The data processing issue arises in the coding of data for improved communications performance. Compression algorithms, reducing the amount of data that must be transmitted, coding techniques to provide error detection/protection, and encryption techniques to improve security are representative examples of data processing.
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 (003) (LecLabCredit Hours) Provides depth in student's understanding of the physical design of wireless communication systems. The emphasis will be on the design of the transmitter and receiver sections of a wireless system, but antenna design will also be covered to provide an understanding of the techniques used to achieve directional and steerable antennas when appropriate for the given wireless system. The wide range of carrier frequencies seen in wireless systems leads to a variety of semiconductor and other technologies being required at different carrier frequencies. In addition, the bandwidth of the signal leads to substantially different issues arising in the packaging used for the transmitter and receiver ends. For lower carrier frequencies, advanced silicon IC technologies are preferred, given the maturity of the technology and the considerable density of both analog and digital circuitry that can be integrated on a single IC. At higher frequencies, the limits of contemporary silicon technologies are encountered, leading to use of specialized semiconductor technologies such at GaAs and SiGe circuits. In addition, the difficulty of realizing high accuracy analog/digital conversions at multiGHz frequencies leads to a preference, at this time, for analog for analog circuitry at the higher frequencies. On the other hand, analog/digital conversions are becoming possible at sufficiently high sampling rates that digital processing is being strongly pursued directly at the front end of a receiver, allowing a variety of new techniques to be considered for the overall receiver design. In cases where frontend digital signal processing cannot be achieved, such digital processing is increasingly used at intermediate frequencies (i.e., the IF section). In the case of data communications, digital techniques are almost certainly used at baseband, for example to separate the data signal from the received analog signal, to perform data decoding, etc. The course will include material related to contemporary digital signal processor technologies, supplementing the discussions in Course 2 by considering in greater depth the physical design and performance limitations of technologies and architectures.
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 (003) (LecLabCredit Hours)
Provides the student with depth in the overall understanding of the highlevel definition and operation of a contemporary wireless system. Since many wireless systems involve connections among hardware developed by different commercial manufacturers, national and international standards play a major role in the evolution of wireless systems. Earlier first generation systems evolved to today's second generation systems, with third generation systems expected shortly. One component of this course relates to these important standards. There are several fundamentally different wireless systems applications simultaneously evolving. Some relate to personal communications services (e.g., cellular telephony, wireless modems, etc.). Others relate to LANs, implemented in wireless rather than wired technologies to allow mobility or ease of access but providing data rates competitive with wired systems. Satellite communications systems (e.g., the Iridium system) are emerging and promise to provide a particularly interesting means of extending communication services. GPS systems provide an important means of determining one's position to high accuracy. Digital and software radios exploit the familiar concept of radio transmissions to provide digital information (and draw upon channel assignment schemes related to the radio metaphor). In addition to the commercial development of separate (and nonintegrated) wireless systems of the various types above, there are important military applications in which the various systems are integrated to provide a versatile communications systems designed for battlefield applications. Upon completion of this course, the student will have depth of understanding in the highlevel, systemsoriented view of wireless systems.
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 (003) (LecLabCredit Hours) This course introduces students to the principles and design techniques of Very Large Scale Integrated Circuits (VLSI). Topics include: MOS transistor characteristics, DC analysis, resistance, capacitance models, transient analysis, propagation delay, power dissipation, CMOS logic design, transistor sizing, layout methodologies, clocking schemes, case studies. Students will use VLSI CAD tools for layout, and simulation. Selected class projects may be sent for fabrication.
Prerequisites: CS 550 (303)(LecLabCredit Hours)
This course provides an intensive introduction to material on computer organization and assembly language programming required for entrance into the graduate program in Computer Science or Computer Engineering. The topics covered are: structure of stored program computers; linking and loading; assembly language programming, with an emphasis on translation of highlevel language constructs; data representation and arithmetic algorithms; basics of logic design; processor design: data path, hardwired control and microprogrammed control. Students will be given assembly language programming assignments on a regular basis. Prerequisites: Undergraduates need permission of advisor.
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EE 619 (003)(LecLabCredit Hours) Operating principle, modeling and fabrication of solid state devices for modern optical and electronic system implementation; recent developments in solid state devices and integrated circuits; devices covered include bipolar and MOS diodes and transistors, MESFET, MOSFET transistors, tunnel, IMPATT and BARITT diodes, transferred electron devices, light emitting diodes, semiconductor injection and quantumwell lasers, PIN and avalanche photodetectors.
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 (303) (LecLabCredit Hours)
This course presents tools, techniques and algorithms to accelerate compute intensive applications, via a combination of computing devices such as the GPU, FPGA and multicore CPU on a heterogeneous platform. Computationally intensive problems present various challenges in terms of tasks with different characteristics and features. With the exponential growth of data from sensors, biological sequencing, financial transactions, multimedia and user generated content; there is a strong need to accelerate the processing involved at various levels. Such applications benefit highly from heterogeneous computing architecture. The basics of GPU architecture, programming tools, such as CUDA and OpenCL, realworld applications that benefit from GPU computing will be presented. This is followed by the techniques for multicore CPU programming, hardware design via Verilog as well as advantages of FPGA for various low latency applications and a combination of the two architectures to accelerate scientific applications. Knowledge of multithreaded and concurrent programming is helpful but not necessary.
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 (003) (LecLabCredit Hours) An ECE seminar on topics of current interest.
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 (003) (LecLabCredit Hours) This course reviews multicarrier modulcation (MCM) methods that offer several advantages over conventional single carrier systems for broadband data transmission. Topics include fundamentals of MCM, where the data stream is divided up into several parallel bit streams, each of which has a much lower bit rate, to exploit multipath diversity and the practical applications. It will cover new advances as well as the core technology. Hands on learning with computer based learning approaches will include simulation in MATLAB and state of the art high level software packages to design and implement modulation, filtering, synchronization and demodulation.
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 (003) (LecLabCredit Hours) A participating seminar in the area of modern communications. Typical topics include highresolution spectral estimation, nonparametric and robust signal processing, CFAR radars, diversity techniques for fading multipath channels, and adaptive nonlinear equalizers of optical communications.
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 (003) (LecLabCredit Hours) Current topics in information theory and coding. Typical topics include: basic theorems of information theory, entropy, channel capacity, and error bounds. Rate distortion theory: discrete source with a fidelity criterion, minimum distortion quantization, bounds on ratedistortion functions, error control codes: review of prerequisite linear algebra and field theory, linear block codes, cyclic algebraic codes, convolutional codes, and sequential decoding.
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 (003) (LecLabCredit Hours) Brief review of electromagnetic theory; Maxwell's equations; the wave equations; plane waves and spherical waves; explanation of phenomenon of radiation; the incremental dipole antenna; and dipole antennas, including halfwave dipole and grounded monopole. Linearantenna arrays, such as YagiUda array and logperiodic array. Radiation from an aperture, such as rectangular and circular apertures. Primefocus fed paraboloidal reflector antennas and farfield patterns, directivity, effects of scanning, and effects of random surface imperfections. Shapedreflector paraboloidal reflector antennas and Cassegrain and Gregorian paraboloidal antennas. Offset paraboloidal reflectors and spherical reflectors. Tracking antennas, types of monopulse patterns, antenna noise, and concept of G/T.
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 (003) (LecLabCredit Hours) An investigation of a current research topic at the premaster's level, under the direction of a faculty member. A written report is required, which should have the substance of a publishable article. Students with no practical experience who do not write a master's thesis are invited to take advantage of this experience.
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 (003) (LecLabCredit Hours) An investigation of a current research topic beyond that of EE 800 level, under the direction of a faculty member. A written report, which should have the substance of a publishable article, is required. It should have importance in modern electrical engineering. This course is open to students who intend to be doctoral candidates and wish to explore an area that is different from the doctoral research topic.
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 (003) (LecLabCredit Hours) A participating seminar on topics of current interest and importance in Electrical Engineering.
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 (003) (LecLabCredit Hours) A thesis of significance to be filed in libraries, demonstrating competence in a research area of electrical engineering. Five to ten credits with departmental approval for the degree of Master of Engineering (Electrical Engineering).
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 (003) (LecLabCredit Hours) An investigation of a current engineering topic or design. A written report is required.
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 (003) (LecLabCredit Hours) Original research of a significant character, undertaken under the guidance of a member of the departmental faculty, which may serve as the basis for the dissertation required for the degree of Doctor of Philosophy.
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 (303) (LecLabCredit Hours) Measures of cost, performance, and speedup; instruction set design; processor design; hardwired and microprogrammed control; memory hierarchies; pipelining; input/output systems; and additional topics as time permits. The emphasis in this course is on quantitative analysis of design alternatives.
Prerequisites: CPE 550 Computer Organization and Programming (303)(LecLabCredit Hours) This course provides an intensive introduction to material on computer organization and assembly language programming required for entrance into the graduate program in Computer Science or Computer Engineering. The topics covered are: structure of stored program computers; linking and loading; assembly language programming, with an emphasis on translation of highlevel language constructs; data representation and arithmetic algorithms; basics of logic design; processor design: data path, hardwired control and microprogrammed control. Students will be given assembly language programming assignments on a regular basis. Close 
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 (303) (LecLabCredit Hours) This course covers the design and architecture of computer and digital systems in the system design region starting from the transistor/logic gate level to below the device driver level/system monitor level. The systems considered in the course will go beyond the computer chips or CPUs discussed in a typical computer architecture course, but will include complex logic devices such as application specific integrated circuits (ASICs), the coredesigns for field programmable gate arrays (FPGAs), systemonachip (SoC) designs, ARM, and other applicationspecific architectures. Printed circuit boardlevel architectural considerations for multiple complex digital circuits will also be discussed.
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 (003) (LecLabCredit Hours) This course will offer the students an overview of the technology of autonomous mobile robotic systems the mechanisms that allow a mobile robot to move through a realworld environment to perform its tasks. Since the design of any successful mobile robot involves the integration of many different disciplines  among them kinematics, signal analysis, information theory, artificial intelligence, and probability theory  the course will discuss all facets of mobile robotic system, including hardware design, wheel design, kinematics analysis, sensors and perception, localization, mapping, motionplanning, navigation, and robot control architectures. Multirobot systems will also be introduced due to their broader applications, such as search and rescue tasks, and exploring tasks.
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 (003) (LecLabCredit Hours) An objective cost model is necessary for planning and executing software projects. A cost model provides a framework for communicating business decisions among the stakeholders of a software effort; it supports contract negotiations, process improvement analysis, tool purchases, architecture changes, component make/buy tradeoffs, and several other returnoninvestment decisions. This course provides the student with a through introduction to software estimation and to industry standard tools, like COCOMOII, used in cost estimation. Crosslisted with CS533 .
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 (303) (LecLabCredit Hours) Types of multimedia information: voice, data video facsimile, graphics, and their characterization; modeling techniques to represent multimedia information; analysis and comparative performances of different models; detection techniques for multimedia signals; specification of multimedia representation based on service requirements; and evaluation of different multimedia representations to satisfy user applications and for generating test scenarios for standardization.
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 (303) (LecLabCredit Hours) This is an introductorylevel course to computer graphics. No previous knowledge on the subject is assumed. The objective of the course is to provide a comprehensive introduction to the field of computer graphics, focusing on the underlying theory, and thus providing strong foundations for both designers and users of graphical systems. The course will study the conceptual framework for interactive computer graphics, introduce the use of OpenGL as an application programming interface (API), and cover algorithmic and computer architecture issues.
Prerequisites: CPE 590 Algorithms (303)(LecLabCredit Hours) This is a course on more complex data structures, and algorithm design and analysis, using the C++ language. Topics include: advanced and/or balanced search trees; hashing; further asymptotic complexity analysis; standard algorithm design techniques; graph algorithms; complex sort algorithms; and other "classic" algorithms that serve as examples of design techniques. Close 
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 (003) (LecLabCredit Hours) This course introduces the subject of software engineering, also known as software development process or software development best practice from a quantitative, analytic and metricsbased point of view. Topics include introductions to: software lifecycle process models from the heaviest weight, used on very large projects, to the lightest weight, such as, extreme programming; industrystandard software engineering tools; teamwork; project planning and management; objectoriented analysis and design. The course is casehistory and project oriented.
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 (003) (LecLabCredit Hours) This course is a projectoriented continuation of CS540. It is intended for computer science majors interested in learning software development process, but not interested in the full MS program in QSE or the Graduate Certificate in QSE.
Prerequisites: CPE 540 Fundamentals of Quantitative Software Engineering I (003)(LecLabCredit Hours) This course introduces the subject of software engineering, also known as software development process or software development best practice from a quantitative, analytic and metricsbased point of view. Topics include introductions to: software lifecycle process models from the heaviest weight, used on very large projects, to the lightest weight, such as, extreme programming; industrystandard software engineering tools; teamwork; project planning and management; objectoriented analysis and design. The course is casehistory and project oriented. Close 
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 (003) (LecLabCredit Hours) Communications in computer networks are not only enabled by physical links and hardware, but are also enabled by software and middleware. This course provides an understanding of software techniques in communications. It explores development models that address a broad range of issues in the design of communication software, including hardware and software partitioning, layering, and protocol stacks. Other topics are configuration techniques, buffer and timer management, task and table managements, and multiboard communications software design. Communication middleware and agent technologies as enabling technology in networking will also be covered.
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 (003) (LecLabCredit Hours) Review of mathematics of signals and systems including sampling theorem, Fourier transform, ztransform, Hilbert transform; algorithms for fast computation: DFT, DCT computation, convolution; filter design techniques: FIR and IIR filter design, time and frequency domain methods, window method and other approximation theory based methods; structures for realization of discrete time systems: direct form, parallel form, lattice structure and other statespace canonical forms (e.g., orthogonal filters and related structures); roundoff and quantization effects in digital filters: analysis of sensitivity to coefficient quantization, limit cycle in IIR filters, scaling to prevent overflow, role of special structures.
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 (303) (LecLabCredit Hours) This course provides an intensive introduction to material on computer organization and assembly language programming required for entrance into the graduate program in Computer Science or Computer Engineering. The topics covered are: structure of stored program computers; linking and loading; assembly language programming, with an emphasis on translation of highlevel language constructs; data representation and arithmetic algorithms; basics of logic design; processor design: data path, hardwired control and microprogrammed control. Students will be given assembly language programming assignments on a regular basis.
Prerequisites: CS 580 The Logic of Program Design (303)(LecLabCredit Hours) Introduction to the rigorous design of functional and procedural programs in modern language (C++). The main theme is that programs can be reliably designed, proven and refined if one pays careful attention to their underlying logic, and the emphasis of this course is on the logical evolution of programs from specifications. Programs are developed in the UNIX environment. No graduate credit for students in Computer Science or Computer Engineering. The necessary background in logic, program syntax and UNIX is developed as needed, though at a fast pace. Close 
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 (003) (LecLabCredit Hours) The miniaturization of electronics and increasingly sophisticated software environments has enabled the realization of systems that embed intelligence within a wide variety of systems interacting in real time with the environment. Such systems are characterized by hardware/software integration along with integration of both analog and digital electronics. Representative topics include specification of the overall system, realtime operating system, embedded network protocols, tradeoffs between hardware and software, etc. The lectures will be complemented by projects related to design of such systems.
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 (003) (LecLabCredit Hours) Embedded systems have emerged as a primary application area, highlighting the cointegration of applicationspecific hardware components with programmable, flexible, adaptable, and versatile software components. Such systems have been one of the drivers of important new computing principles that play an important role in achieving optimal performance of the overall system. This course will provide the student with a background in these new computing principles and their application to embedded systems. Representative topics include emerging computing paradigms in the areas of contextaware pervasive systems, spatiotemporal access control with distributed software agents, vehicular computing, information systems cryptography, trust and privacy in mobile environments, locationaware services, RFID systems, wireless medical networks, and urban sensing.
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 (303) (LecLabCredit Hours) An introduction to the field of Computer Vision, focusing on the underlying algorithmic, geometric, and optic issues. The course starts with a brief overview of basic image processing topics (convolution, smoothing, and edge detection). It then proceeds on various image analysis topics: binary images, momentsbased shape analysis, Hough transform, image formation, depth and shape recovery, photometry, motion, classification, and special topics. Corequisites: Ma 112 Matrix Algebra with Computers (003)(LecLabCredit Hours) 0.0 Introduction to Netscape, FTP, and SNB
1.1 Vectors and Linear combinations
1.2 Lengths and dot Products
2.1 Vectors and Linear Equations
2.2 The Idea of elimination
2.4 Rules for Matrix Operations
2.3 Elimination Using Matrices
3.3 The Rank and the Row Reduced Form
2.5 Inverse Matrices
2.6 Elimination = Factorization: A=LU
2.7 Transposes and Permutations
3.1 Spaces of Vectors
3.2 The Nullspace of A: Solving AX=0
3.3 The Rank and the Row Reduced Form
3.4 The Complete Solution to AX=B
3.5 Independence, Basis and Dimension
3.6 Dimensions of the Four Subspaces
5.1 Properties of Determinants
5.2 Permutations and Cofactors
5.3 Cramer's Rule, Inverses, Volumes
6.1 Introduction to Eigenvalues
6.2 Diagonalizing a Matrix
6.3 Applications to differential Equations Close 
MA 115 Calculus I (404)(LecLabCredit Hours) An introduction to differential and integral calculus for functions of one variable. The differential calculus includes limits, continuity, the definition of the derivative, rules for differentiation, and applications to curve sketching, optimization, and elementary initial value problems. The integral calculus includes the definition of the definite integral, the Fundamental Theorem of Calculus, techniques for finding antiderivatives, and applications of the definite integral. Transcendental and inverse functions are included throughout. Close 
Prerequisites: CS 385 Algorithms (224)(LecLabCredit Hours) This is a course on more complex data structures, and algorithm design and analysis, using the C language. Topics include: advanced and/or balanced search trees; hashing; further asymptotic complexity analysis; standard algorithm design techniques; graph algorithms; complex sort algorithms; and other "classic" algorithms that serve as examples of design techniques. Close 
CS 590 Algorithms (303)(LecLabCredit Hours) This is a course on more complex data structures, and algorithm design and analysis, using the C++ language. Topics include: advanced and/or balanced search trees; hashing; further asymptotic complexity analysis; standard algorithm design techniques; graph algorithms; complex sort algorithms; and other "classic" algorithms that serve as examples of design techniques. Close 
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 (003) (LecLabCredit Hours) An overview of the technical and application topics encountered in contemporary networked information systems including the overall architecture of such systems, data networked architectures, secure transmission of information, data representations including visual representations, information coding/compression for storage and transmission, management of complex heterogeneous networks, and integration of nextgeneration systems with legacy systems.
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 (003) (LecLabCredit Hours) Introduction to the engineering principles and practices to build networked applications, such as email and www; programming networked applications using Web Services; coordinating the execution of application components on different computers on the network; ensuring consistency of data among the components in online bankinglike applications; monitoring, recovery, and rejuvenation capabilities to handle component failures; authentication among components for eCommercelike applications; application quality of service; middleware platforms that address these issues in practice; and largescale networked application examples.
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 (003) (LecLabCredit Hours) Principles and practices of managing local area networks are presented from the perspective of a network systems engineer, including handson projects working with a real local area network (Cisco routers, switches, firewalls, etc.). The SNMP protocols and network management using SNMP are presented in terms of the general organization of information regarding network components and from the perspective of creating basic network management functions using SNMP. Techniques for troubleshooting practical networks, along with setting up and maintaining an IP network are covered. The course includes a projectbased learning experience.
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 (303) (LecLabCredit Hours) This course provides a broad introduction to cornerstones of security (authenticity, confidentiality, message integrity and nonrepudiation) and the mechanisms to achieve them as well as the underlying mathematical basics. Topics include: block and stream ciphers, publickey systems, key management, certificates, publickey infrastructure (PKI), digital signature, nonrepudiation, and message authentication. Various security standards and protocols such as DES, AES, PGP and Kerberos, are studied.
Prerequisites: CS 385 Algorithms (224)(LecLabCredit Hours) This is a course on more complex data structures, and algorithm design and analysis, using the C language. Topics include: advanced and/or balanced search trees; hashing; further asymptotic complexity analysis; standard algorithm design techniques; graph algorithms; complex sort algorithms; and other "classic" algorithms that serve as examples of design techniques. Close 
CS 503 Discrete Mathematics for Cryptography (303)(LecLabCredit Hours) Topics include basic discrete probability, including urn models and random mappings; a brief introduction to information theory; elements of number theory, including the prime number theorem, the Euler phi function, the Euclidean algorithm, and the Chinese remainder theorem; and elements of abstract algebra and finite fields including basic fundamentals of groups, rings, polynomial rings, vector spaces, and finite fields. Carries credit toward the Applied Mathematics degree only when followed by CS 579. Recommended for highlevel undergraduate students. Close 
CS 590 Algorithms (303)(LecLabCredit Hours) This is a course on more complex data structures, and algorithm design and analysis, using the C++ language. Topics include: advanced and/or balanced search trees; hashing; further asymptotic complexity analysis; standard algorithm design techniques; graph algorithms; complex sort algorithms; and other "classic" algorithms that serve as examples of design techniques. Close 
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 (003) (LecLabCredit Hours) Introduction to the rigorous design of functional and procedural programs in modern language (C++). The main theme is that programs can be reliably designed, proven and refined if one pays careful attention to their underlying logic, and the emphasis of this course is on the logical evolution of programs from specifications. Programs are developed in the UNIX environment. The necessary background in logic, program syntax and UNIX is developed as needed, though at a fast pace. Corequisites: MA 502 Mathematical Foundations of Computer Science (303)(LecLabCredit Hours) This course provides the necessary mathematical prerequisites for the computer science master’s program and also serves as a foundation for further study in mathematics. The topics covered include prepositional calculus: predicates and quantifiers; elementary number theory and methods of proof; mathematical induction; elementary set theory; combinatorics; functions and relations; countability; recursion and Onotation. Applications to computer science are stressed. Close 
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 (003) (LecLabCredit Hours) Imaging plays an important role in both clinical and research environments. This course presents both the basic physics together with the practical technology associated with such methods as Xray computed tomography (CT), magnetic resonance imaging (MRI), functional MRI (fMRI) and spectroscopy, ultrasonics (echocardiography, Doppler flow), nuclear medicine (Gallium, PET and SPECT scans) as well as optical methods such as bioluminescence, optical tomography, fluorescent confocal microscopy, twophoton microscopy and atomic force microscopy.
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 (303) (LecLabCredit Hours) This is a course on more complex data structures, and algorithm design and analysis, using the C++ language. Topics include: advanced and/or balanced search trees; hashing; further asymptotic complexity analysis; standard algorithm design techniques; graph algorithms; complex sort algorithms; and other "classic" algorithms that serve as examples of design techniques.
Prerequisites: CS 570 Introduction to Programming in C++ (303)(LecLabCredit Hours)
Introduction to programming using standard data types and programming constructs of C++. Students will be given regular programming assignments. Prerequisites: Undergraduates require permission of advisor. Close 
MA 502 Mathematical Foundations of Computer Science (303)(LecLabCredit Hours) This course provides the necessary mathematical prerequisites for the computer science master’s program and also serves as a foundation for further study in mathematics. The topics covered include prepositional calculus: predicates and quantifiers; elementary number theory and methods of proof; mathematical induction; elementary set theory; combinatorics; functions and relations; countability; recursion and Onotation. Applications to computer science are stressed. Close 
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 (003) (LecLabCredit Hours) The objective of this course is to introduce current techniques in multimedia communications especially as applied to wireless networks. The course will introduce the basic issues in multimedia communications and networking. Topics covered include: multimedia information representation  text, images, audio, video; introduction to information theory  information of a source, average information of a discrete memoryless source, source coding for memoryless sources; multimedia compression  text, image, audio, video; standards for multimedia communications; transmissions and protocols; circuit switched networks; the Internet; broadband ATM networks; packet video in the network environment; transport protocols  TCP/IP; TCP; UDP; RTP and RTCP; wireless networks  models, characteristics; error resilience for wireless networks.
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 (003) (LecLabCredit Hours) The objective of this course is to introduce current techniques in securing IP and multimedia networks. Topics under IP security will include classic cryptography, DiffieHellman, RSA, endtoend authentication, Kerberos, viruses, worms and intrusion detection. Topics from multimedia will include steganography, digital watermarking, covert channels, hacking, jamming, security features in MPEG4, secure media streaming, wireless multimedia, copy control and other mechanisms for secure storage and transfer of audio, image and video data.
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 (003) (LecLabCredit Hours) The course provides the student with an integrated presentation of (i) the formalisms of data structures, graphs and algorithms, (ii) the development of efficient and reliable software using these formalisms, and (iii) theapplications of the data structures, graphs and algorithms topics (including appropriate elements of graph theory) within representative computing, information, and communications engineering applications. Principles will be applied through programming projects solving representative problems drawn from data networking and other applications.
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 (303) (LecLabCredit Hours) Design, implementation, and asymptotic time and space analysis of advanced algorithms, as well as analyzing worstcase and averagecase complexity of algorithms. Students will be expected to run experiments to test the actual performance of the algorithms on sample inputs. Introduction to NPcomplete problems and approximation algorithms.
Prerequisites: CPE 590 Algorithms (303)(LecLabCredit Hours) This is a course on more complex data structures, and algorithm design and analysis, using the C++ language. Topics include: advanced and/or balanced search trees; hashing; further asymptotic complexity analysis; standard algorithm design techniques; graph algorithms; complex sort algorithms; and other "classic" algorithms that serve as examples of design techniques. Close 
CS 385 Algorithms (224)(LecLabCredit Hours) This is a course on more complex data structures, and algorithm design and analysis, using the C language. Topics include: advanced and/or balanced search trees; hashing; further asymptotic complexity analysis; standard algorithm design techniques; graph algorithms; complex sort algorithms; and other "classic" algorithms that serve as examples of design techniques. Close 
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 (003) (LecLabCredit Hours) This is an introductory course for engineers. Topics that will be covered include principles of counting, set theory, mathematical induction, analysis of algorithms and complexity, relations, recurrent relations, graph algorithms, combinatorial design, software tools, applications to coding theory, network optimization, data compression, security, etc.
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 (003) (LecLabCredit Hours) This course is an introduction on modern information networks with an emphasis on providing the student with the mathematical background and required analytical skills for performance analysis of information networks protocols. The material concentrates mostly on the bottom three layers of the protocol stack, focusing on delay and throughput analysis.Topics covered include an overview of the OSI layering model, data link layer issues, medium access control, queueing analysis, mathematical models for routing in broadcast and pointtopoint networks, and flow and congestion control.
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 (003) (LecLabCredit Hours) This course will deal with the main aspects of applied modeling and optimization suitable for engineering, science, and business students. Sample applications to be used as case studies include channel capacity computation (information theory), statistical detection and estimation (signal processing), sequential decision making/revenue maximization (business), and others. Topics will include introduction to convex and nonlinear optimization and modeling; linear, quadratic, and geometric program models and applications; stochastic modeling; combinatorial issues; gradient techniques; machine learning algorithms; stochastic approximation; genetic algorithms; and ant colony optimization.
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 (003) (LecLabCredit Hours) Modeling of image signals; 2D prediction theory and application to DPCM/ADM coding of images; subband coding of images; filters for subband coding; transform coding of images; comparison of various transforms like KLT, DCT, LOT; vector quantizing theory, vector quantizing algorithms like the LBG algorithm; VQ for image coding.
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 (003) (LecLabCredit Hours) The course provides an understanding of electronic commerce and related architectures, protocols and technologies. The course introduces the Ecommerce concept, objectives, and market drivers, and identifies its requirements, underpinning techniques, and technologies. These include Internet techniques like tunneling and Telnet and WWW techniques like Forms, and Common Gateway Interface (CGI). Other related topics such as multimedia, intelligent agents and their applications in Ecommerce, the client/server model, and Commitment, Concurrency and Recovery (CCR) are also presented. Network, service, and application management, which are important aspects of Ecommerce, are discussed. Quality of Service (QoS) management, Service Level Agreement (SLA) management, Application Programming Interface (APIs), and the role of Application Service Providers (ASPs) are discussed. There will be strong emphasis on the important topic of security management. Topics here include security concepts and technologies, types of security attacks, encryption techniques, public key systems, Data Encryption Standard (DES), and authentication techniques. Virtual Private Networks (VPNs), secure tunneling techniques, firewalls, Intranets, extranets, and VPN management are covered. The policy and regulatory issues in Ecommerce are discussed. Finally, various Ecommerce applications in the areas of finance, securities, trading, auctions, and travel are described. The course includes some Ecommerce case studies and demonstrations.
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 (003) (LecLabCredit Hours) This course presents the fundamental principles and process for designing effective and reliable, supportable, and maintainable systems. The participants will also understand the concept of system operational effectiveness, and the inherent "cause and effect" relationship between design decisions and system operation, maintenance and logistics. Furthermore, the course will also discuss system life cycle cost modeling as a strategic design decision making methodology and present illustrative case studies.
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 (003) (LecLabCredit Hours) Advanced topics in autonomous and intelligent mobile robots, with emphasis on planning algorithms and cooperative control. Robot kinematics, path and motion planning, formation strategies, cooperative rules and behaviors. The application of cooperative control spans from natural phenomena of groupings such as fish schools, bird flocks, deer herds, to engineering systems such as mobile sensing networks, vehicle platoon.
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 (003) (LecLabCredit Hours) Types of multimedia information: voice, data video facsimile, graphics and their characterization; modeling techniques to represent multimedia information; analysis and comparative performances of different models; detection techniques for multimedia signals; specification of multimedia representation based on service requirements; evaluation of different multimedia representations to satisfy user applications and for generating test scenarios for standardization.
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  (303) (LecLabCredit Hours) Mathematical foundations and algorithms for advanced computer graphics. Topics include 3D modeling, texture mapping, curves and surfaces, physicsbased modeling, and visualization. Special attention will be paid to surfaces and shapes. The class will consist of lectures and discussion on research papers assigned for reading. In class, we will study the theoretical foundations and algorithmic issues. In programming assignments, we will use OpenGL as the particular API for writing graphics programs. C/C++ programming skills are essential for this course.
Prerequisites: CPE 537 (303)(LecLabCredit Hours) This is an introductorylevel course to computer graphics. No previous knowledge on the subject is assumed. The objective of the course is to provide a comprehensive introduction to the field of computer graphics, focusing on the underlying theory, and thus providing strong foundations for both designers and users of graphical systems. The course will study the conceptual framework for interactive computer graphics, introduce the use of OpenGL as an application programming interface (API), and cover algorithmic and computer architecture issues.
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 (003) (LecLabCredit Hours) This course covers the principles and theory of programminginthelarge. The phases of software development, requirements development, software design software coding, and module testing, and software verification will be discussed in detail. Documents, rapid phototyping, top down, bottom up, successive refinement, functional and data abstraction will be discussed. Black and white box testing methods will be covered. Hierarchical and democratic term organization structures and the effects of personalizing and group dynamics will be discussed.
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 (003) (LecLabCredit Hours) The course will be built around a small number of detailed case studies. The intent is to illustrate the use of some methodologies for software development using both stateofthe art approaches as well as potentially more valuable but as yet unproven approaches from the research community. The course will cover the phases of requirement development, system specification, design, implementation, testing, and project management.
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 (003) (LecLabCredit Hours) Design concepts for combinational and sequential (synchronous and asynchronous) logic systems; the design processes are described algorithmically and are applied to complex function design at the gate and register level; the designs are also implemented using software development tools, logic compilers for programmable logic devices and gate arrays.
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 (003) (LecLabCredit Hours) The design of complex digital logic systems using processor architectures. The architectures are implemented for reduced instruction set computers (RISC) and extended to complex instruction set computers (CISC). The emphasis in the course is the design of highspeed digital systems and includes processors, sequencer/controllers, memory systems and input/output.
Prerequisites: CPE 643 (003)(LecLabCredit Hours) Design concepts for combinational and sequential (synchronous and asynchronous) logic systems; the design processes are described algorithmically and are applied to complex function design at the gate and register level; the designs are also implemented using software development tools, logic compilers for programmable logic devices and gate arrays.
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 (003) (LecLabCredit Hours) The goal is to acquaint the students with the fundamental techniques of image processing. Specific topics include: Digital imaging fundamentals; neighborhood operators; clustering, region growing; split and merge, segmentation; edge and line linking; degradation model, restoration, inverse filtering; zerocrossing methods, gradient edge detectors; gray level cooccurrence, texture analysis; morphological operations; image registration and enhancement; scale space filtering; motion estimation; 3D image recognition and estimation.
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 (003) (LecLabCredit Hours) Introduction and general pattern recognition concerns and statistical pattern recognition: introduction to statistical pattern recognition, supervised learning (training) using parametric and nonparametric approaches, parametric estimation and supervised learning, maximum likelihood (ML) estimation, the Bayesian parameter estimation approach, supervised learning using nonparametric approaches, Parzen windows, nonparametric estimation, unsupervised learning and clustering, and formulation of unsupervised learning problems; syntactic pattern recognition: quantifying structure in pattern description and recognition, grammarbased approach and applications, elements of formal grammars, syntactic recognition via parsing and other grammars, graphical approaches, and learning via grammatical inference; neural pattern recognition: the artificial neural network model, introduction to neural pattern associators and matrix approaches, multilayer, feedforward network structure, and content addressable memory approaches. The Hopfield approach to pattern recognition, unsupervised learning, and selforganizing networks.
Prerequisites: CS 505 (303)(LecLabCredit Hours) Axioms of probability; discrete and continuous random vectors; functions of random variables; expectations, moments, characteristic functions, and momentgenerating functions; inequalities, convergence concepts, and limit theorems; central limit theorem; and characterization of simple stochastic processes: widesense stationality and ergodicity.
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EE 605 (003)(LecLabCredit Hours) Axioms of probability; discrete and continuous random vectors; functions of random variables; expectations, moments, characteristic functions, and momentgenerating functions; inequalities, convergence concepts, and limit theorems; central limit theorem; and characterization of simple stochastic processes: widesense stationality and ergodicity.
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 (003) (LecLabCredit Hours) Analysis of current networks including classic telephone, ISDN, IP and ATM. Attributes and characteristics of highspeed networks. Principles of network design including usernetwork interface, traffic modeling, buffer architectures, buffer management techniques, call processing, routing algorithms, switching fabric, distributed resource management, computational intelligence, distributed network management, measures of network performance, quality of service, selfhealing algorithms, hardware and software issues in future network design.
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 (003) (LecLabCredit Hours) Queuing models will be developed and applied to current problems in telecommunication networks and performance analysis of networked computer systems. Topics include elementary queuing theory, birthdeath processes, open and closed networks of queues, priority queues, conservation laws, models for timeshared computer systems and computer communication networks.
Prerequisites: CS 505 (303)(LecLabCredit Hours) Axioms of probability; discrete and continuous random vectors; functions of random variables; expectations, moments, characteristic functions, and momentgenerating functions; inequalities, convergence concepts, and limit theorems; central limit theorem; and characterization of simple stochastic processes: widesense stationality and ergodicity.
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EE 605 (003)(LecLabCredit Hours) Axioms of probability; discrete and continuous random vectors; functions of random variables; expectations, moments, characteristic functions, and momentgenerating functions; inequalities, convergence concepts, and limit theorems; central limit theorem; and characterization of simple stochastic processes: widesense stationality and ergodicity.
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 (003) (LecLabCredit Hours) This course is a continuation of CPE 655.
Prerequisites: CPE 655 (003)(LecLabCredit Hours) Queuing models will be developed and applied to current problems in telecommunication networks and performance analysis of networked computer systems. Topics include elementary queuing theory, birthdeath processes, open and closed networks of queues, priority queues, conservation laws, models for timeshared computer systems and computer communication networks.
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CS 655 (303)(LecLabCredit Hours) Queuing models will be developed and applied to current problems in telecommunication networks and performance analysis of computer systems. Topics include elementary queuing theory, birthdeath processes, open and closed networks of queues, priority queues, conservation laws, models for timeshared computer systems, and computer communication networks.
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NIS 655 (003)(LecLabCredit Hours) Queuing models will be developed and applied to current problems in telecommunication networks and performance analysis of networked computer systems. Topics include elementary queuing theory, birthdeath processes, open and closed networks of queues, priority queues, conservation laws, models for timeshared computer systems and computer communication networks.
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 (003) (LecLabCredit Hours) The course emphasizes two main themes. The first is the study of wavelets as a newly emerging tool in signal analysis. The second is its applications in image processing and computer vision. In the first category, the following topics will be covered: timefrequency localization, windowed Fourier transform, continuous and discrete wavelet transforms, orthogonal and biorthogonal families of wavelets, and multiresolution analysis and its relation to subband coding schemes and use of wavelets in analysis of singularities. In the second category, applications of wavelets in problems of compact coding of images, edge and boundary detection, zerocrossing based representation, motion estimation, and other problems relevant to image processing and transmission will be considered.
Prerequisites: EE 603 (003)(LecLabCredit Hours) Fourier transforms; distribution theory; Gibbs phenomena; Shannon sampling; Poisson sums; discrete and fast Fourier transforms; Laplace transforms; ztransforms; the uncertainty principle; Hilbert transforms; computation of inverse transforms by contour integration; stability and realization theory of linear, time invariant, continuous and discrete systems.
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 (003) (LecLabCredit Hours) Implementation of digital filters in high speed architectures; multirate signal processing: linear periodically time varying systems, decimators and expanders, filter banks, interfacing digital systems operating at multiple rates, elements of subband coding and wavelet transforms; signal recovery from partial data: from zero crossing, level crossing, phase only, magnitude only data; elements of spectral estimation: MA, AR and ARMA models. Lattice, Burg methods, MEM.
Prerequisites: CPE 548 (003)(LecLabCredit Hours) Review of mathematics of signals and systems including sampling theorem, Fourier transform, ztransform, Hilbert transform; algorithms for fast computation: DFT, DCT computation, convolution; filter design techniques: FIR and IIR filter design, time and frequency domain methods, window method and other approximation theory based methods; structures for realization of discrete time systems: direct form, parallel form, lattice structure and other statespace canonical forms (e.g., orthogonal filters and related structures); roundoff and quantization effects in digital filters: analysis of sensitivity to coefficient quantization, limit cycle in IIR filters, scaling to prevent overflow, role of special structures.
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EE 548 (003)(LecLabCredit Hours) Review of mathematics of signals and systems including sampling theorem, Fourier transform, ztransform, Hilbert transform; algorithms for fast computation: DFT, DCT computation, convolution; filter design techniques: FIR and IIR filter design, time and frequency domain methods, window method and other approximation theory based methods; structures for realization of discrete time systems: direct form, parallel form, lattice structure and other statespace canonical forms (e.g., orthogonal filters and related structures); roundoff and quantization effects in digital filters: analysis of sensitivity to coefficient quantization, limit cycle in IIR filters, scaling to prevent overflow, role of special structures.
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 (003) (LecLabCredit Hours) This course provides a broad introduction to cornerstones of security (authenticity, confidentiality, message integrity and nonrepudiation) and the mechanisms to achieve them. Topics include: block and stream ciphers, secretkey and publickey systems, key management, publickey infrastructure (PKI), digital envelope, integrity and message authentication, digital signature and nonrepudiation, trusted third party and certificates. Various security standards and protocols such as DES, PGP and Kerberos will be studied. The course includes a project and some lab experiments related to running, analyzing and comparing various security algorithms.
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 (003) (LecLabCredit Hours) The design of ASCA (Application Specific Computer Architectures) for signal and image processing; topics include an overview of VLSI architectural design principles, signal and image processing algorithms, mapping algorithms onto array structures, parallel architectures and implementation, and systolic design for neural network processing.
Prerequisites: CPE 644 (003)(LecLabCredit Hours) The design of complex digital logic systems using processor architectures. The architectures are implemented for reduced instruction set computers (RISC) and extended to complex instruction set computers (CISC). The emphasis in the course is the design of highspeed digital systems and includes processors, sequencer/controllers, memory systems and input/output.
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EE 603 (003)(LecLabCredit Hours) Fourier transforms; distribution theory; Gibbs phenomena; Shannon sampling; Poisson sums; discrete and fast Fourier transforms; Laplace transforms; ztransforms; the uncertainty principle; Hilbert transforms; computation of inverse transforms by contour integration; stability and realization theory of linear, time invariant, continuous and discrete systems.
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 (303) (LecLabCredit Hours) The first of a twocourse sequence on modern computer networks. Focus is on the physical and data link levels of the OSI layers. Trace the evolution of client/server computing to the Internet. Topics covered include OSI layering, TCP/IP overview, the application of Shannon’s and Nyquist’s bandwidth theorems, Discrete Wave Division Multiplexing, wireless transmission, local loops, QAM, TDM, SONET/SDH, circuit switching, ATM switching, knockout switch, ISDN, STM, framing, error detection and correction, CRC, ARQ protocol, sliding window protocols, finite state machines, Universal Modeling Language, PPP, ALOHA, CSMA, LANs, fast and gigabit Ethernet, bridges and FDDI. A significant amount of time is spend on designing 802.3 LANs.
Prerequisites: EE 605 (003)(LecLabCredit Hours) Axioms of probability; discrete and continuous random vectors; functions of random variables; expectations, moments, characteristic functions, and momentgenerating functions; inequalities, convergence concepts, and limit theorems; central limit theorem; and characterization of simple stochastic processes: widesense stationality and ergodicity.
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 (303) (LecLabCredit Hours) Learn the technologies that make the Internet work. You will understand the TCP and IP protocols and their interaction. You will study the TCP slow start in low noise and high noise environments, the use of proxy servers, web caching, and gain understanding of the technologies used to make routers perform well under load. These include shortest path routing, new routing protocols, TCP congestion control, leaky bucket and token bucket admission control, weighted fair queueing and random early detection of congestion. Networks are described in terms of their architecture, transport, routing and management. Quality of Service (QoS) models are integrated with communication models. The course requires problem solving and extensive reading on network technology. After an introduction to bridges, gigabit ethernet, routing and the Internet Protocol, a fundamental understanding of shortest path and distance vector routing is taught. A “problem/solution” approach is used to develop how and why the technology evolved to keep engineering tradeoffs in focus. Continuation of Information Networks I with a focus on the network and transport layers of the OSI layers. Protocol definitions for distributed networks and performance analysis of various routing protocols including BellmanFord, BGP and OSPF. TCP over IP is discussed. Other topics include pipelining, broadcast routing, congestion control and reservations, Leaky and Token Bucket algorithms, weighted fair queuing, tunneling, firewalls, Ipv4 and IPv6. Network layers in SAN including the different service categories are discussed. The TCP and UDP transport protocols are discussed in depth along with network security, DNS, SAN, SLIP, firewalls and naming.
Prerequisites: EE 605 (003)(LecLabCredit Hours) Axioms of probability; discrete and continuous random vectors; functions of random variables; expectations, moments, characteristic functions, and momentgenerating functions; inequalities, convergence concepts, and limit theorems; central limit theorem; and characterization of simple stochastic processes: widesense stationality and ergodicity.
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 (003) (LecLabCredit Hours) Ad hoc networking relates to a collection of network components that can selforganize and manage communications in a manner largely transparent to the user. Such networks have grown in importance as wireless network technologies have advanced, leading to dynamically changing network topologies. Representative topics, presented from the perspective of ad hoc networks, include routing protocols, performance metrics, implementations, applications such as sensor and peertopeer networks, and security are presented from the perspective of ad hoc networks.
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 (003) (LecLabCredit Hours) The geometry of fuzzy sets; the universe as a fuzzy set; fuzzy relational algebra; fuzzy systems; the fuzzy entropy theorem; the subsethood theorem; the fuzzy approximation theorem (FAT); fuzzy associative memories (FAM); adaptive FAMs (AFAM); fuzzy learning methods; approximate reasoning (linguistic modeling); different integration of neural networks and fuzzy systems; neurofuzzy controller and their applications; expert systems: knowledge acquisition, knowledge representation, and inference engines; hybrid expert systems (soft computing): knowledgebased systems, fuzzy systems, and neural networks; and applications: image processing, data compression, pattern recognition, computer vision, qualitative modeling, retrieval from fuzzy database, process control, robotics, and some industrial applications.
Prerequisites: CS 505 (303)(LecLabCredit Hours) Axioms of probability; discrete and continuous random vectors; functions of random variables; expectations, moments, characteristic functions, and momentgenerating functions; inequalities, convergence concepts, and limit theorems; central limit theorem; and characterization of simple stochastic processes: widesense stationality and ergodicity.
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EE 605 (003)(LecLabCredit Hours) Axioms of probability; discrete and continuous random vectors; functions of random variables; expectations, moments, characteristic functions, and momentgenerating functions; inequalities, convergence concepts, and limit theorems; central limit theorem; and characterization of simple stochastic processes: widesense stationality and ergodicity.
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 (003) (LecLabCredit Hours) This course introduces students to the principles and design techniques of very large scale integrated circuits (VLSI). Topics include: MOS transistor characteristics, DC analysis, resistance, capacitance models, transient analysis, propagation delay, power dissipation, CMOS logic design, transistor sizing, layout methodologies, clocking schemes, case studies. Students will use VLSI CAD tools for layout and simulation. Selected class projects may be sent for fabrication.
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 (003) (LecLabCredit Hours) History of network security; classical information security; cryptosecurity; kerberos for IP networks; private and public keys; nature of network security; fundamental framework for network security; analysis and performance impact of network topology; vulnerabilities and security attack models in ATM, IP, and mobile wireless networks; security services, policies, and models; trustworthy systems; intrusion detection techniques  centralized and distributed; emulation of attack models and performance assessment through behavior modeling and asynchronous distributed simulation; principles of secure network design in the future; and projects in network security and student seminar presentations.
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 (003) (LecLabCredit Hours) This course covers the design and analysis of security protocols, and studies different attacks and defenses against them. Topics include: signature and authentication protocols, privacy, digital rights management, security protocols for wired, wireless and distributed networks, electronic voting, payment and micropayment protocols, anonymity, broadcast encryption and traitor training, quantum cryptography and visual cryptography. The course includes a project and some related lab experiments.
Prerequisites: CPE 668 (003)(LecLabCredit Hours) This course provides a broad introduction to cornerstones of security (authenticity, confidentiality, message integrity and nonrepudiation) and the mechanisms to achieve them. Topics include: block and stream ciphers, secretkey and publickey systems, key management, publickey infrastructure (PKI), digital envelope, integrity and message authentication, digital signature and nonrepudiation, trusted third party and certificates. Various security standards and protocols such as DES, PGP and Kerberos will be studied. The course includes a project and some lab experiments related to running, analyzing and comparing various security algorithms.
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 (003) (LecLabCredit Hours) An ECE Department seminar on topics of current interest.
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 (003) (LecLabCredit Hours) Current topics in image processing and pattern recognition. Topics may include Bayes decision theroy, parameter estimation, feature selection, nonparametric techniques, linear discriminate functions, unsupervised learning, clustering, applications of pattern recognition, and biomedical problems.
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 (003) (LecLabCredit Hours) Current topics in VLSI, VHSIC, and ASIC design, simulation, and verification. Electronic design automation (EDA) tools. Design physics and processing and basic CMOS and bipolar circuit structures. Topdown design methods; formal specifications of circuits; simulation as an aid to circuit design and verification; and principles of functional and logical simulation before layout. Bottomup circuit construction; hierarchical layout circuits; floor plan organization and routing of subcircuit interconnections; extraction of circuit from layout; critical path analysis. Class project and design, simulation, and layout of medium size circuit.
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 (003) (LecLabCredit Hours) A participating seminar on topics of current interest and importance in computer engineering.
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 (003) (LecLabCredit Hours) An investigation of current research topic at the premaster's level, under the direction of a faculty member. A written report is required, which should have the substance of a publishable article. Students with no practical experience who do not write a master's thesis are invited to take advantage of this experience.
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 (003) (LecLabCredit Hours) An investigation of a current research topic beyond that of CPE 800 level, under the direction of a faculty member. A written report is required, which should have importance in modern computer engineering and have the substance of a publishable article. This course is open to students who intend to be doctoral candidates and wish to explore an area that is different from the doctoral research topic.
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 (003) (LecLabCredit Hours) A participating seminar on topics of current interest and importance in Computer Engineering
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 (003) (LecLabCredit Hours) A thesis of significance to be filed in libraries, demonstrating competence in a research area of computer engineering.
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 (003) (LecLabCredit Hours) An investigation of current a engineering topic or design. A written report is required.
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 (003) (LecLabCredit Hours) Original research of a significant character undertaken under the guidance of a member of the departmental faculty that may serve as the basis for the dissertation required for the degree of Doctor of Philosophy.
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Networked Information Systems 
 (003) (LecLabCredit Hours) This course provides a background in probability and stochastic processes necessary for the analysis of telecommunications systems. Topics include axioms of probability, combinatorial methods, discrete and continuous random variables, expectation, Poisson processes, birthdeath processes, and Markov processes.
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 (303) (LecLabCredit Hours) Measures of cost, performance, and speedup; instruction set design; processor design; hardwired and microprogrammed control; memory hierarchies; pipelining; input/output systems; and additional topics as time permits. The emphasis in this course is on quantitative analysis of design alternatives.
Prerequisites: CPE 550 Computer Organization and Programming (303)(LecLabCredit Hours) This course provides an intensive introduction to material on computer organization and assembly language programming required for entrance into the graduate program in Computer Science or Computer Engineering. The topics covered are: structure of stored program computers; linking and loading; assembly language programming, with an emphasis on translation of highlevel language constructs; data representation and arithmetic algorithms; basics of logic design; processor design: data path, hardwired control and microprogrammed control. Students will be given assembly language programming assignments on a regular basis. Close 
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 (003) (LecLabCredit Hours) Communications in computer networks are not only enabled by physical links and hardware; it is also enabled by software and middleware. This course provides an understanding of software techniques in communications. It explores development models that address broad range of issues in the design of communication software including hardware and software partitioning, layering, and protocol stacks. Other topics are configuration techniques, buffer and timer management, task and table managements, and multiboard communications software design. Communication middleware and agent technologies as enabling technology in networking will also be covered.
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 (303) (LecLabCredit Hours) Types of multimedia information: voice, data video facsimile, graphics, and their characterization; modeling techniques to represent multimedia information; analysis and comparative performances of different models; detection techniques for multimedia signals; specification of multimedia representation based on service requirements; and evaluation of different multimedia representations to satisfy user applications and for generating test scenarios for standardization.
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 (003) (LecLabCredit Hours) Communications in computer networks are not only enabled by physical links and hardware, but are also enabled by software and middleware. This course provides an understanding of software techniques in communications. It explores development models that address a broad range of issues in the design of communication software, including hardware and software partitioning, layering, and protocol stacks. Other topics are configuration techniques, buffer and timer management, task and table managements, and multiboard communications software design. Communication middleware and agent technologies as enabling technology in networking will also be covered.
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 (003) (LecLabCredit Hours) An overview of the technical and application topics encountered in contemporary networked information systems including the overall architecture of such systems, data network architectures, secure transmission of information, data representations including visual representations, information coding/compression for storage and transmission, management of complex heterogeneous networks and integration of nextgeneration systems with legacy systems.
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 (003) (LecLabCredit Hours) Introduction to the use of relational database systems; the relational model; the entityrelationship model; translation of entityrelationship diagrams into relational schemes; relational algebra; SQL; normalization of relational schemes. Students who have had a previous course in database systems must obtain permission of the instructor to enroll in this course.
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 (003) (LecLabCredit Hours) Introduction to the engineering principles and practices to build networked applications, such as email and www; programming networked applications using Web Services; coordinating the execution of application components on different computers on the network; ensuring consistency of data among the components in online bankinglike applications; monitoring, recovery, and rejuvenation capabilities to handle component failures; authentication among components for eCommercelike applications; application quality of service; middleware platforms that address these issues in practice; and largescale networked application examples.
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 (003) (LecLabCredit Hours) Analysis of current networks including classic telephone, ISDN, IP and ATM. Attributes and characteristics of highspeed networks. Principles of network design including usernetwork interface, traffic modeling, buffer architectures, buffer management techniques, call processing, routing algorithms, switching fabric, distributed resource management, computational intelligence, distributed network management, measures of network performance, quality of service, selfhealing algorithms, hardware and software issues in future network design.
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 (003) (LecLabCredit Hours) Principles and practices of managing local area networks are presented from the perspective of a network systems engineer, including handson projects working with a real local area network (Cisco routers, switches, firewalls, etc.). The SNMP protocols and network management using SNMP are presented in terms of the general organization of information regarding network components and from the perspective of creating basic network management functions using SNMP. Techniques for troubleshooting practical networks, along with setting up and maintaining an IP network are covered. The course includes a projectbased learning experience.
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 (003) (LecLabCredit Hours) This courses serves as a broad introduction to the several technologies and applications of wireless communications systems. The emphasis is on providing a reasonable mixture of information leading to a broad understanding of the technical issues involved, with modest depth in each of the topics. As an integrating course, the topics range from the physics of wave generation/propagation/reception through the circuit/component issues, to the signal processing concepts, to the techniques used to impress the information (voice or data) on a wireless channel, to overviews of representative applications including current generation systems and next generation systems. Upon completion of this course, the student shall understand the manner in which the more detailed information in the other three courses is integrated to create a complete system.
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 (003) (LecLabCredit Hours) Wireless systems and their unique vulnerabilities to attack; system security issues in the context of wireless systems, including satellite, terrestrial microwave, military tactical communications, public safety, cellular and wireless LAN networks; security topics: confidentiality/privacy, integrity, availability, and control of fraudulent usage of networks. Issues addressed include jamming, interception and means to avoid them. Case studies and student projects are an important component of the course.
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 (003) (LecLabCredit Hours) This course addresses the fundamentals of wireless networking, including architectures, protocols and standards. It describes concepts, technology and applications of wireless networking as used in current and nextgeneration wireless networks. It explains the engineering aspects of network functions and designs. Issues such as mobility management, wireless enterprise networks, GSM, network signaling, WAP, mobile IP and 3G systems are covered.
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 (003) (LecLabCredit Hours) The objective of this course is to introduce current techniques in multimedia communications especially as applied to wireless networks. The course will introduce the basic issues in multimedia communications and networking. Topics to be covered include: multimedia information representation  text, images, audio, video; iIntroduction to information theory  information of a source, average information of a discrete memoryless source, source coding for memoryless sources; multimedia compression  text, image, audio, video; standards for multimedia communications; transmissions and protocols; circuit switched networks; the Internet; broadband ATM networks; packet video in the network environment; transport protocols  TCP/IP; TCP; UDP; RTP and RTCP; wireless networks  models, characteristics; error resilience for wireless networks.
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 (003) (LecLabCredit Hours) The objective of this course is to introduce current techniques in securing IP and multimedia networks. Topics under IP security will include classic cryptography, DiffieHellman, RSA, endtoend authentication, Kerberos, viruses, worms and intrusion detection. Topics from multimedia will include steganography, digital watermarking, covert channels, hacking, jamming, security features in MPEG4, secure media streaming, wireless multimedia, copy control and other mechanisms for secure storage and transfer of audio, image and video data.
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 (003) (LecLabCredit Hours) The course provides the student with an integrated presentation of (i) the formalisms of data structures, graphs and algorithms, (ii) the development of efficient and reliable software using these formalisms, and (iii) the applications of the data structures, graphs and algorithms topics (including appropriate elements of graph theory) within representative computing, information, and communications engineering applications. Principles will be applied through programming projects solving representative problems drawn from data networking and other applications.
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 (003) (LecLabCredit Hours) This is an introductory course for engineers. Topics that will be covered include principles of counting, set theory, mathematical induction, analysis of algorithms and complexity, relations, recurrent relations, graph algorithms, combinatorial design, software tools, applications to coding theory, network optimization, data compression, security, etc.
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 (003) (LecLabCredit Hours) This course is an introduction on modern information networks with an emphasis on providing the student with the mathematical background and required analytical skills for performance analysis of information networks protocols. The material concentrates mostly on the bottom three layers of the protocol stack, focusing on delay and throughput analysis.Topics covered include an overview of the OSI layering model, data link layer issues, medium access control, queueing analysis, mathematical models for routing in broadcast and pointtopoint networks, and flow and congestion control.
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 (303) (LecLabCredit Hours) Axioms of probability; discrete and continuous random vectors; functions of random variables; expectations, moments, characteristic functions, and momentgenerating functions; inequalities, convergence concepts, and limit theorems; central limit theorem; and characterization of simple stochastic processes: widesense stationality and ergodicity.
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 (003) (LecLabCredit Hours) Engineering, computational science and business students tackle various kinds of reallife optimization problems occurring in areas such as information theory, wireless communications, VLSI design, design and analysis of networks, optimal decision making etc. This course will provide a comprehensive coverage of several aspects of applied modeling and optimization. Complexity issues and numerical techniques (classical and nonclassical techniques) to solve optimization problems will be the main thrust. Example problems arising in electrical engineering, computer engineering and business will be extensively used to illustrate the different optimization algorithms. This course will be computer projects based. Software packages such as MAPLE, MATLAB, CPLEX etc. will be used.
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 (003) (LecLabCredit Hours) Review of probability theory with applications to digital communications, digital modulation techniques, receiver design, bit error rate calculations, bandwidth efficiency calculations, convolutional encoding, bandwidth efficient coded modulation, wireless fading channel models, and shannon capacity, software simulation of communication systems.
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 (003) (LecLabCredit Hours) Errorcontrol mechanisms; elements of algebra; linear block codes; linear cyclic codes; fundamentals of convolutional codes; Viterbi decoding codes in mobile communications; Trelliscoded modulation; concatenated coding systems and turbo codes; BCH codes; ReedSolomon codes; implementation architectures and applications of RS codes; and ARQ and interleaving techniques.
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 (003) (LecLabCredit Hours) Waveform characterization and modeling of speech/image sources; quantization of signals; uniform, nonuniform and adaptive quantizing; pulse code modulation (PCM) systems; differential PCM (DPCM); linear prediction theory, adaptive prediction; delta modulation and sigmadelta modulation systems; subband coding with emphasis on speech coding; data compression methods like Huffman coding, ZivLempel coding and run length coding.
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  (003) (LecLabCredit Hours) Brief introduction to nformation theory; entropy and rate; KraftMcMillan inequality; entropy codes  Huffman and arithmetic codes; scalar quantization quantizer design issues, the Lloyd quantizer and the LloydMax quantizer; vector quantization  LBG algorithm, other quantizer design algorithms; structured VQs; entropy constrained quantization; bit allocation techniques: generalized BFOS algorithm; brief overview of linear Algebra; transform coding: KLT, DCT, LOT; subband coding; wavelets; wavelet based compression algorithms (third generation image compression schemes) EZW algorithm, the SPIHT algorithm and the EBCOT algorithm; video compression: motion estimation and compensation; image and video coding standards: JPEG/ JPEG 2000, MPEG, H.263, H.263+; Source coding and error resilience.
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 (003) (LecLabCredit Hours) This course provides an understanding of electronic commerce and related architectures, protocols, and technologies. It describes the ecommerce concept, objectives, and market drivers, as well as its requirements and underpinning techniques and technologies, including the Internet, WWW, multimedia, intelligent agents, clientserver relations, and data mining. Security in ecommerce is addressed, including types of security attacks, security mechanisms, Virtual Private Networks (VPNs), firewalls, intranets, and extranets. Implementation issues in ecommerce, including the design and management of its infrastructure and applications (ERP, CRM, and SCM), are discussed. Mcommerce is addressed, electronic payment systems with their associated protocols are described, and various B2C and B2B applications are presented. Also, policy and regulatory issues in ecommerce are discussed.
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 (003) (LecLabCredit Hours) Components for and design of optical communication systems; propagation of optical signals in single mode and multimode optical fibers; optical sources and photodetectors; optical modulators and multiplexers; optical communication systems: coherent modulators, optical fiber amplifiers and repeaters, transcontinental and transoceanic optical telecommunication system design; optical fiber LANs.
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 (003) (LecLabCredit Hours) This course focuses on the role of information technology (IT) in reengineering and enhancing key business processes. The implications for organizational structures and processes, as the result of increased opportunities to deploy information and streamlining business systems are covered.
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 (003) (LecLabCredit Hours) The objective of this course is to investigate and understand the organizational infrastructure and governance considerations for information technology. It concentrates on developing students' competency in current/emerging issues in creating and coordinating the key activities necessary to manage the daytoday IT functions of a company. Topics include: ITs key business processes, IT governance, organizational structure, value of IT, role of the CIO, outsourcing, systems integration, managing emerging technologies and change and human resource considerations.
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 (303) (LecLabCredit Hours) The objective of this course is to address the important question, "How to improve the alignment of business and information technology strategies?" The course is designed for advanced graduate students. It provides the student with the most current approaches to deriving business and information technology strategies, while ensuring harmony among the organizations. Topics include business strategy, business infrastructure, IT strategy, IT infrastructure, strategic alignment, methods/metrics for building strategies and achieving alignment.
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 (003) (LecLabCredit Hours) This course focuses on the issues surrounding the design of an overall information technology architecture. The traditional approach in organizations is to segment the problem into four areas  network, hardware, data and applications. This course will focus on the interdependencies among these architectures. In addition, this course will utilize management research on organizational integration and coordination science. The student will learn how to design in the large, make appropriate choices about architecture in relationship to overall organization goals, understand the different mechanisms available for coordination and create a process for establishing and maintaining an enterprise architecture.
Prerequisites: MIS 620 (003)(LecLabCredit Hours) This course presents and analyzes various approaches to information analysis and development of organizational information systems within a system development lifecycle (SDLC), e.g. the waterfall, concentric, and prototyping approaches. Topics include strategic planning for SDLC, frontend and backend phases of SDLC, project management, CASE methodologies, and balancing user, organizational, and technical considerations.
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MIS 630 (003)(LecLabCredit Hours) This course deals with strategic uses of data, data structures, file organizations and hardware as determinants of planning for and implementing a enterprisewide data management scheme. Major course topics include data as valuable enterprise resource, inherent characteristics of data, modeling the data requirements of an enterprise, data repositories and system development life cycles.
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MIS 640 (003)(LecLabCredit Hours) This course introduces the technical, as well as managerial, aspects of distributed information systems. The emphasis is on synthesizing the underlying technologies (networks, databases, and applications) with management approaches (planning, staffing, and organizing). Topics include: opportunities and challenges of distributed information systems, review of network technologies (LANs, WANs, MANs, highspeed networks), network architectures, client/server computing, distributed databases, distributed applications, open systems standards, and the management of distributed information systems. Case studies are introduced to illustrate different challenges and approaches to solutions.
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 (003) (LecLabCredit Hours) The goal is to acquaint the students with the fundamental techniques of image processing. Specific topics include: Digital imaging fundamentals; neighborhood operators; clustering, region growing; split and merge, segmentation; edge and line linking; degradation model, restoration, inverse filtering; zerocrossing methods, gradient edge detectors; gray level cooccurrence, texture analysis; morphological operations; image registration and enhancement; scale space filtering; motion estimation;3D image recognition and estimation.
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 (003) (LecLabCredit Hours) Basic concepts, models, and techniques; direct sequence frequency hopping, time hopping, chirp and hybrid systems, jamming game, antijam systems, and analysis of coherent and noncoherent systems; synchronization and demodulation; multiple access systems; ranging and tracking; and pseudonoise generators.
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 (003) (LecLabCredit Hours) Introduction to wireless networks and layered architecture, principles of crosslayer design, impact of crosslayer interactions for different architectures: cellular and ad hoc networks, model abstractions for layers in crosslayer design for different architectures (cellular and ad hoc networks), quality of service (QoS) provisioning at different layers of the protocol stack with emphasis on physical layer, medium access control (MAC) and network layers, examples of crosslayer design in the literature: joint optimizations involving beamforming, interference cancellation techniques, MAC protocols, admission control, power control, routing and adaptive modulation.
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 (003) (LecLabCredit Hours) Analysis of current networks, including classic telephone, ISDN, IP, and ATM. Attributes and characteristics of highspeed networks. Principles of network design, including usernetwork interface, traffic modeling, buffer architectures, buffer management techniques, call processing, routing algorithms, switching fabric, distributed resource management, computational intelligence, distributed network management, measures of network performance, quality of service, selfhealing algorithms, and hardware and software issues in future network design.
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 (003) (LecLabCredit Hours) Queuing models will be developed and applied to current problems in telecommunication networks and performance analysis of networked computer systems. Topics include elementary queuing theory, birthdeath processes, open and closed networks of queues, priority queues, conservation laws, models for timeshared computer systems and computer communication networks.
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 (003) (LecLabCredit Hours) This course is a continuation of NIS 655.
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 (003) (LecLabCredit Hours) Part I: Introduction to game theory: games in strategic form and Nash equilibrium, existence and properties of Nash equilibrium, Pareto efficiency, extensive form games, repeated games, Bayesian games and Bayesian equilibrium, types of games and equilibrium properties, learning in games. Part II: Applications for wireless networks: resource allocation, enforcing cooperation in ad hoc networks, cognitive radios.
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 (003) (LecLabCredit Hours) Overview of communication theory, modulation techniques, conventional multiple access schemes and SS/TDMA; satellite and frequency allocation, analysis of satellite link, identification of the parameters necessary for the link calculation; modulation and coding; digital modulation methods and their comparison; error correction coding for the satellite channel including Viterbi decoding and system performance; synchronization methods, carrier recovery; effects of impairment on the channel.
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 (303) (LecLabCredit Hours) CpE 678 Information Networks I is the first of two courses on modern computer networks. Its focus is the physical and data link levels of the OSI layers. It traces the evolution of client/server computing to the Internet. Topics covered include OSI layering, TCP/IP overview, the application of Shannon's and Nyquist's bandwidth theorem's, Discrete Wave Division Multiplexing, wireless transmission, local loops, QAM, TDM, SONET/SDH, circuit switching, ATM switching, knockout switch, ISDN, ATM, framing, error detection and correction, CRC, ARQ protocol, sliding window protocols, finite state machines, Universal Modeling Language, PPP, ALOHA, CSMA, LANs, fast and gigabit Ethernet, Bridges and FDDI. A significant amount of time is spent on designing 802.3 LANs.
Prerequisites: NIS 605 (303)(LecLabCredit Hours) Axioms of probability; discrete and continuous random vectors; functions of random variables; expectations, moments, characteristic functions, and momentgenerating functions; inequalities, convergence concepts, and limit theorems; central limit theorem; and characterization of simple stochastic processes: widesense stationality and ergodicity.
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 (003) (LecLabCredit Hours)
Learn the technologies that make the Internet work. You will understand the IP and TCP protocols and their interaction. You will study TCP slow start in low noise and high noise environments, the use of proxy servers, web caching and gain understanding of the technologies used to make routers perform well under load. These include shortest path routing, new routing algorithms, TCP congestion control, leaky bucket and token bucket admission Control, weighted fair queuing and random early detection of congestion. Networks are described in terms of their architecture, transport, routing, and their management. Quality of Service issues (QoS) are integrated with communication models. The course requires problem solving and extensive reading on network technology. After an introduction to bridges, gigabit Ethernet, routing and the Internet Protocol, a fundamental understanding of shortest path and distance vector routing is taught. A 'problem/solution' approach is used to develop how and why the technology evolved to keep engineering tradeoffs in focus. Continuation of Information Networks I with a focus on the network and transport layers of the OSI layers. Protocol definitions for distributed networks and performance analysis of various routing protocols including BellmanFord, BGP, and OSPF. TCP over IP is discussed Other topics include pipelining, broadcast routing, congestion control and reservations, Leaky andToken Bucket algorithms, weighted fair queuing, tunneling, firewalls, Ipv4 and IPv6. Network layers in SAN including the different service categories are discussed. The TCP and UDP transport protocols are discussed in depth along with network security, DNS, SAN, SLIP, firewalls and naming.
Prerequisites: NIS 605 (303)(LecLabCredit Hours) Axioms of probability; discrete and continuous random vectors; functions of random variables; expectations, moments, characteristic functions, and momentgenerating functions; inequalities, convergence concepts, and limit theorems; central limit theorem; and characterization of simple stochastic processes: widesense stationality and ergodicity.
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 (003) (LecLabCredit Hours) History of network security; classical infosec; cryptosecurity; Kerberos for IP networks; private and public keys; nature of network security; fundamental framework for network security; security on demand in ATM networks; analysis and performance impact of ATM network topology; security in IVCC; vulnerabilities and security attack models in ATM, IP and mobile wireless networks; intrusion detection techniques  centralized and distributed; emulation of attack models and performance assessment through behavior modeling and asynchronous distributed simulation; principles of secure network design in the future; projects in network security and invited guest lecturers.
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 (003) (LecLabCredit Hours) An ECE seminar on topics of current interest.
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 (003) (LecLabCredit Hours) A participating seminar on topics of current interest and importance in Networked Information Systems.
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 (003) (LecLabCredit Hours) An investigation of a current research topic at the premaster's level, under the direction of a faculty member. A written report, which should have the substance of a publishable article, is required. Students with no practical experience who do not write a master's thesis are invited to take advantage of this experience.
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 (003) (LecLabCredit Hours) A participating seminar on topics of current interest and importance in Networked Information Systems.
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 (003) (LecLabCredit Hours) A thesis of significance to be filed in libraries, demonstrating competence in a research area of electrical engineering.
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Electrical & Computer Engineering Department
YuDong Yao, Director 




