Courses—CSCI through FSCN - University Catalogs - University of ...

Course Descriptions366EE 5141. Introduction to Microsystem Technology. (4 cr.Prereq–3161, 3601)Microelectromechanical systems composed ofmicrosensors, microactuators, and electronicsintegrated onto common substrate. Design,fabrication, and operation principles. Labs onmicromachining, photolithography, etching, thin filmdeposition, metallization, packaging, and devicecharacterization.EE 5163. Semiconductor Properties and Devices I. (3 cr.Prereq–3161, 3601 or #)Principles and properties of semiconductor devices.Selected topics in semiconductor materials, statistics,and transport. Aspects of transport in p-n junctions,heterojunctions.EE 5164. Semiconductor Properties and Devices II.(3 cr. Prereq–5163 or #)Principles and properties of semiconductor devices.Charge control in different FETs, transport,modeling. Bipolar transistor models (Ebers-Moll,Gummel-Poon), heterostructure bipolar transistors.Special devices.EE 5171. Microelectronic Fabrication. (4 cr. Prereq–IT sror grad)Fabrication of microelectronic devices; siliconintegrated circuits, GaAs devices; lithography,oxidation, diffusion; process integration of varioustechnologies, including CMOS, double poly bipolar,and GaAs MESFET.EE 5173. Basic Microelectronics Laboratory. (1 cr.Prereq–5171 or 5171)Students fabricate a polysilicon gate, single-layer metal,NMOS chip, performing 80 percent of processing,including photolithography, diffusion, oxidation, andetching. In-process measurement results are comparedwith final electrical test results. Simple circuits are usedto estimate technology performance.EE 5231. Linear Systems and Optimal Control. (3 cr.Prereq–IT grad, 3015 or #)Properties and modeling of linear systems; linearquadratic and linear-quadratic-Gaussian regulators;maximum principle.EE 5235. Robust Control System Design. (3 cr. Prereq–ITgrad, 3015, 5231 or #)Development of control system design ideas;frequency response techniques in design of singleinput/single-output(and MI/MO) systems. Robustcontrol concepts. CAD tools.EE 5301. VLSI Design Automation I. (3 cr. Prereq–2301 or #)Basic graph/numerical algorithms. Algorithms forlogic/high-level synthesis. Simulation algorithms atlogic/circuit level. Physical-design algorithms.EE 5302. VLSI Design Automation II. (3 cr. Prereq–5301 or #)Basic algorithms, computational complexity. Highlevelsynthesis. Test generation. Power estimation.Timing optimization. Current topics.EE 5323. VLSI Design I. (3 cr. Prereq–[2301, 3115] or #)Combinational static CMOS circuits. Transmissiongate networks. Clocking strategies, sequentialcircuits. CMOS process flows, design rules,structured layout techniques. Dynamic circuits,including Domino CMOS and DCVS. Performanceanalysis, design optimization, device sizing.EE 5324. VLSI Design II. (3 cr. Prereq–5323 or #)CMOS arithmetic logic units, high-speed carrychains, fast CMOS multipliers. High-speedperformance parallel shifters. CMOS memory cells,array structures, read/write circuits. Design fortestability, including scan design and built-in selftest. VLSI case studies.EE 5327. VLSI Design Laboratory. (3 cr. Prereq–[4301,[5323 or 5323]] or #)Complete design of an integrated circuit. Designsevaluated by computer simulation.EE 5329. VLSI Digital Signal Processing Systems. (3 cr.Prereq–5323 or 5323 or #)Programmable architectures for signal/mediaprocessing. Data-flow representation. Architecturetransformations. Low-power design. Architecturesfor two’s complement/redundant representation,carry-save, and canonic signed digit. Scheduling/allocation for high-level synthesis.EE 5333. Analog Integrated Circuit Design. (3 cr. Prereq–[3115, grad student] or #)Fundamental circuits for analog signal processing.Design issues associated with MOS/BJT devices.Design/testing of circuits. Selected topics (e.g.,modeling of basic IC components, design ofoperational amplifier or comparator or analogsampled-data circuit filter).EE 5364. Advanced Computer Architecture. (3 cr. §8365,§CSci 5204, §CSci 8203. Prereq–4363 or CSci 4203)Instruction set architecture, processormicroarchitecture. Memory and I/O systems.Interactions between computer software andhardware. Methodologies of computer design.EE 5371. Computer Systems PerformanceMeasurement and Evaluation. (3 cr. §5863. Prereq–4364or 5361 or CSci 4203 or 5201 or #)Tools/techniques for analyzing computer hardware,software, and system performance. Benchmarkprograms, measurement tools, performance metrics.Deterministic/probabilistic simulation techniques,random number generation/testing. Bottleneckanalysis.EE 5381. Telecommunications Networks. (3 cr. Prereq–[4501, 5531] or #)Fundamental concepts of moderntelecommunications networks, mathematical toolsrequired for their performance analysis. Layerednetwork architecture, point-to-point protocols/links,delay models, multiaccess communication/routing.EE 5391. Computing With Neural Networks. (3 cr.Prereq–3025 or Stat 3091 or #)Neural networks as a computational model;connections to AI, statistics and model-basedcomputation; associative memory and matrixcomputation; Hopfield networks; supervisednetworks for classification and prediction;unsupervised networks for data reduction; associativerecognition and retrieval, optimization, time seriesprediction and knowledge extraction.EE 5501. Digital Communication. (3 cr. Prereq–4501,3025, sr or grad in IT major or #)Theory and techniques of modern digitalcommunications. Communication limits; modulationand detection; data transmission over channels withintersymbol interference; optimal and suboptimalsequence detection; equalization. Error correctioncoding; trellis-coded modulation; multiple access.EE 5505. Wireless Communication. (3 cr. Prereq–4501,[IT grad student or #]; 5501 recommended)Introduction to wireless communication systems.Propagation modeling, digital communication overfading channels, diversity and spread spectrumtechniques, radio mobile cellular systems design,performance evaluation. Current European, NorthAmerican, and Japanese wireless networks.EE 5531. Probability and Stochastic Processes. (3 cr.Prereq–3025, grad in IT major or #)Probability, random variables and random processes.System response to random inputs. Gaussian,Markov and other processes for modeling andengineering applications. Correlation and spectralanalysis. Basic estimation principles. Examples fromdigital communications and computer networks.EE 5542. Adaptive Digital Signal Processing. (3 cr.Prereq–[4541, 5531] or #)Design, application, and implementation ofoptimum/adaptive discrete-time FIR/IIR filters.Wiener, Kalman, and Least-Squares. Linearprediction. Lattice structure. LMS, RLS, andLevinson-Durbin algorithms. Channel equalization,system identification, biomedical/sensor arrayprocessing, spectrum estimation. Noise cancellationapplications.EE 5545. Real-Time Digital Signal ProcessingLaboratory. (2 cr. Prereq–4541)Lab. Real-time computation of digital signalprocessing (DSP) functions, including filtering,sample-rate change, and differential pulse codemodulation; implementation on a current DSP chip.DSP chip architecture, assembly language,arithmetic; real-time processing issues; processorlimitations; I/O handling.EE 5549. Digital Signal Processing Structures for VLSI.(3 cr. Prereq–4541)Pipelining; parallel processing; fast convolution;FIR, rank-order, IIR, lattice, adaptive digital filters;scaling and roundoff noise; DCT; Viterbi coders;lossless coders, video compression.EE 5551. Multiscale and Multirate Signal Processing.(3 cr. Prereq–4541, 5531, grad in IT major or #)Multirate discrete-time systems. Bases, frames;continuous wavelet transform; scaling equations;discrete wavelet transform; applications in signal andimage processing.EE 5581. Information Theory and Coding. (3 cr. Prereq–5531 or #)Source and channel models, codes for sources andchannels. Entropy, mutual information, capacity,rate-distortion functions. Coding theorems.EE 5585. Data Compression. (3 cr. Prereq–IT sr or grad or #)Source coding in digital communications andrecording; codes for lossless compression; universallossless codes; lossless image compression; scalarand vector quantizer design; loss source codingtheory; differential coding, trellis codes, transformand subband coding; analysis/synthesis schemes.EE 5601. Introduction to RF/Microwave Engineering.(3 cr. Prereq–4601, [IT sr or grad])Fundamentals of EM theory and transmission linesconcepts. Transmission lines and network analysis.CAD tool. Lumped circuit component designs.Passive circuit components. Connectivity to centralcommunication theme.EE 5602. RF/Microwave Circuit Design. (3 cr. Prereq–5601 or equiv)Transmission lines, network analysis concepts. CADtools for passive/active designs. Diode based circuitdesigns (detectors, frequency multipliers, mixers).Transistor based circuit design (amplifiers,oscillators, mixer/doubler).EE 5607. Wireless Hardware System Design. (3 cr.Prereq–3015, 3115, 3601)Review of random processes, noise, modulation, anderror probabilities. Basis antenna operation, powertransfer between antennas, rf propagation phenomena,transmitters/receivers, transmission lines, effect ofantenna performance on system performance, rf/microwave device technologies, small-signalamplifiers, mixers, power amplifiers, rf oscillators.EE 5611. Plasma-Aided Manufacturing. (4 cr. §ME 5361.Prereq–Grad or upper div IT , ME 3321, ME 3322 or equiv)Manufacturing using plasma processes; plasmaproperties as a processing medium; plasma spraying,welding and microelectronics processing; processcontrol and system design; industrial speakers; across-disciplinary experience between heat transferdesign issues and manufacturing technology.EE 5613. RF/Microwave Circuit Design Laboratory. (2 cr.Prereq–5601)Scattering parameters, planar lumped circuits,transmission lines, RF/microwave substrate materials,matching networks/tuning elements, resonators, filters,combiners/dividers, couplers. Integral lab.EE 5616. Antenna Theory and Design. (3 cr. Prereq–5601or 5601)Antenna performance parameters, vector potential/radiation integral, wire antenna structures, broadbandantenna structures, microstrips/aperture theory,antenna measurements.