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UW Bothell Course Descriptions
UW Tacoma Course Descriptions
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E E 215 Fundamentals of Electrical Engineering (4) NW
Introduction to electrical engineering. Basic circuit and systems concepts. Mathematical models of components. Kirchoff's laws. Resistors, sources, capacitors, inductors, and operational amplifiers. Solution of first and second order linear differential equations associated with basic circuit forms. Prerequisite: either MATH 126 or MATH 136; PHYS 122.
Instructor Course Description:
Xiaoyu Miao
E E 233 Circuit Theory (5)
Electric circuit theory. Analysis of circuits with sinusoidal signals. Phasors, system functions, and complex frequency. Frequency response. Computer analysis of electrical circuits. Power and energy. Two port network theory. Laboratory in basic electrical engineering topics. Prerequisite: 1.0 in E E 215.
E E 235 Continuous Time Linear Systems (5)
Introduction to continuous time signal analysis. Basic signals including impulses, pulses, and unit steps. Periodic signals. Convolution of signals. Fourier series and transforms in discrete and continuous time. Computer laboratory. Prerequisite: either MATH 136, MATH 307, or AMATH 351any of which may be taken concurrently; PHYS 122; CSE 142, which may be taken concurrently.
E E 271 Digital Circuits and Systems (5)
Overview of digital computer systems. Digital logic, Boolean algebra, combinational and sequential circuits and logic design, programmable logic devices, and the design and operation of digital computers, including ALU, memory, and I/O. Weekly laboratories. Prerequisite: CSE 142.
E E 299 Special Topics in Electrical Engineering (1-5, max. 5)
New and experimental approaches to basic electrical engineering. May include design and construction projects.
Instructor Course Description:
Howard Jay Chizeck
E E 331 Devices and Circuits I (5)
Physics, characteristics, applications, analysis, and design of circuits using semiconductor diodes and field-effect transistors with an emphasis on large-signal behavior and digital logic circuits. Classroom concepts are reinforced through laboratory experiments and design exercises. Prerequisite: 1.0 in E E 233.
E E 332 Devices and Circuits II (5)
Characteristics of bipolar transistors, large- and small- signal models for bipolar and field effect transistors, linear circuit applications, including low and high frequency analysis of differential amplifiers, current sources, gain stages and output stages, internal circuitry of op-amps, op-amp configurations, op-amp stability and compensation. Weekly laboratory. Prerequisite: 1.0 in E E 331.
Instructor Course Description:
Leo L. Lam
E E 341 Discrete Time Linear Systems (5)
Discrete time signals and systems, impulse response, convolution, Z-transforms, discrete time Fourier analysis. Computer laboratory. Prerequisite: 1.0 in E E 235.
Instructor Course Description:
Les Eugene Atlas
E E 351 Energy Systems (5)
Develops understanding of modern energy systems through theory and analysis of the system and its components. Discussions of generation, transmission and utilization are complemented by environmental and energy resources topics as well as electromechanical conversion, power electronics, electric safety, renewable energy, and electricity blackouts. Prerequisite: 1.0 in E E 233.
E E 361 Applied Electromagnetics (5)
Introductory electromagnetic field theory and Maxwell's equations in integral and differential forms; uniform plane waves in linear media; boundary conditions and reflection and transmission of waves; guided waves; transmission lines and Smith chart; electrostatics. Prerequisite: 1.0 in E E 233; MATH 324; PHYS 123.
Instructor Course Description:
Evan Goldstein
Vikram Jandhyala
E E 398 Introduction to Professional Issues (1) Afromowitz
Covers topics of interest to students planning their educational and professional path, including; salaries, he value of advanced degrees, societal expectations of engineering professionals, the corporate enterprise, ethical dilemmas, patents and trade secrets, outsourcing, and the global market.
E E 399 Special Topics in Electrical Engineering (1-5, max. 5)
New and experimental approaches to current electrical engineering problems. May include design and construction projects.
E E 400 Advanced Topics in Electrical Engineering (1-5, max. 10)
Contemporary topics at the advanced undergraduate elective level. Faculty presents advanced elective topics not included in the established curriculum.
Instructor Course Description:
Denise M Wilson
E E 401 Engineering Design in Large Teams (4)
Engineering design process, including project management, team formation, working with technical literature, concept development (e.g., brainstorming, morphological analysis, biomimetics, theory of inventive problem solving), intellectual property, high-tech ventures. Prerequisite: E E 215.
E E 402 Engineering Design in Large Teams: Robotics II (5)
Engineering design process applied to robot design. Involves project management, mentoring, marketing, and multi-disciplinary collaboration. The team designs, prototypes, manufactures, assembles, texts, modifies, troubleshoots, and learn to operate a system that competes in an international design contest. Prerequisite: E E 215;E E 401.
E E 406 Engineering Design for K-12 Outreach (3) Wilson
Design process targeted toward development of relevant activities for K-12 audiences in such areas of science and engineering. Instruction in basic design process, design specification combined with an overview of relevant cognitive/social development in K-12. Prerequisite: either E E 271, E E 331, E E 341, E E 351 or E E 361.
E E 415 Computer-Aided System Analysis and Design (3)
Concepts, principles, and techniques concerned with the design, testing, and application of general-purpose problem-oriented computer programs for analyzing large-scale systems. Offered: Sp.
E E 416 Random Signals for Communications and Signal Processing (4)
Probability and random processes in communications. Random variables, distributions, and expectation. Statistical filter design for detection and estimation. Prerequisite: E E 341; either STAT 390 or IND E 315.
Instructor Course Description:
James A. Ritcey
E E 417 Modern Wireless Communications (4) Liu
Introduction to wireless networks as an application of basic communication theorems. Examines modulation techniques for digital communications, signal space, optiumum receiver design, error performance, erroe control coding for high reliability, mulitpath fading and its effects, RF link budget analysis, WiFi and Wimax systems. Prerequisite: E E 341; either IND E 315, MATH 390, or STAT 390. Offered: W.
E E 418 Network Security and Cryptography (3)
Fundamental principles of cryptography and its application to network and communication security. An introduction to the fundamental tools in cryptography and the protocols that enable its application to network and communication security. Prerequisite: MATH 308; either MATH 390, STAT 390, or IND E 315. Offered: Sp.
E E 420 Design in Communications (4)
Design projects in communications. Frequent projects solved by student teams. Reports and presentations. Prerequisite: 1.0 in E E 417 which may be taken concurrently.
Instructor Course Description:
Payman Arabshahi
E E 433 Analog Circuit Design (5)
Design of analog circuits and systems applying modern integrated circuit technology: operational amplifiers, differential amplifiers, active filters, voltage references and regulators. Prerequisite: 1.0 in E E 332.
E E 436 Medical Instrumentation (4)
Introductory course in the application of instrumentation to medicine. Topics include transducers, signal-conditioning amplifiers, electrodes and electrochemistry, ultrasound systems, electrical safety, and the design of clinical electronics. Laboratory included. For upper-division and first-year graduate students who are preparing for careers in bioengineering-both research and industrial.
E E 440 Introduction to Digital Imaging Systems (4) Hwang
Image representation and standards, visual perception and color spaces, spatial domain image filtering and enhancement, image restoration, image transforms, image and video coding, image geometrical transformation and camera modeling. Prerequisite: E E 341.
E E 442 Digital Signals and Filtering (3)
Methods and techniques for digital signal processing. Review of sampling theorems, A/D and D/A converters. Demodulation by quadrature sampling. Z-transform methods, system functions, linear shift-invariant systems, difference equations. Signal flow graphs for digital networks, canonical forms. Design of digital filters, practical considerations, IIR and FIR filters. Digital Fourier transforms and FFT techniques. Prerequisite: 1.0 in E E 341.
E E 443 Design and Application of Digital Signal Processing (5)
Application of learned theories/algorithms and available computer technologies to modern image and speech processing problems. Two-dimensional signals and systems. Image transform, enhancement, restoration, coding. Characteristics of speech signals, linear predictive coding (LPC) of speech, pitch detection, and LPC speech synthesis, speech recognition, hardware designs for signal processing. Prerequisite: 1.0 in E E 442. Offered: Sp.
E E 447 Control System Analysis I (4)
Linear Servomechanism theory and design principles. Pole-zero analysis, stability of feedback systems by root locus and real-frequency response methods. Design methods of Bode and Nichols. Introduction to advanced topics in automatic control theory, state variable methods. Prerequisite: E E 233; E E 235; MATH 308.
E E 448 Control Systems Sensors and Actuators (3)
Study of control systems components and mathematical models. Amplifiers, DC servomotors, reaction mass actuators. Accelerometers, potentiometers, shaft encoders and resolvers, proximity sensors, force transducers, piezoceramic materials, gyroscopes. Experimental determination of component models and model parameters. Two 3-hour laboratories per week. Prerequisite: either A A 447 or E E 447. Offered: jointly with A A 448.
E E 449 Design of Automatic Control Systems (4)
Design problems for aerospace vehicles, systems with unstable dynamics, lightly damped modes, nonminimum phase, nonlinear dynamics. Computer-aided analysis, design, and simulation, with laboratory hardware-in-the-loop testing. Team design reviews, oral presentations. Prerequisite: either A A 448 or E E 448. Offered: jointly with A A 449.
Instructor Course Description:
Howard Jay Chizeck
E E 452 Power Electronics Design (5)
Electronic conversion and control of electrical power. Includes semiconductor switching devices, power converter circuits, design of magnetics, and control of power converters. Also ac/ac, ac/dc, and dc/dc power converters; circuit simulation; extensive laboratory work a four-week power converter design project. Prerequisite: 1.0 in E E 331; 1.0 in E E 351.
E E 453 Electric Drives (5)
Elements of drive systems, speed-torque characteristics of electric motors and industrial loads, solid-state converter. Starting and braking methods of loaded motors. Speed control of electric motors. Solid-state drives. Transient analysis of loaded motors. Special forms of individual- and multimotor drives. Prerequisite: 1.0 in E E 351.
Instructor Course Description:
Richard Dunstan Christie
E E 454 Power System Analysis (4)
Introduction to methods of analyzing power systems. Includes symmetrical components, calculation of line parameters, representation of transmission lines and power components, and power flow control. Prerequisite: 1.0 in E E 351.
E E 455 Power System Dynamics and Protection (4)
Analysis of symmetrical and unsymmetrical power systems' networks, fault analysis, and stability studies. Prerequisite: 1.0 in E E 351.
E E 456 Computer-Aided Design in Power Systems (4)
Design-oriented course in power system engineering. Students are assigned a project concerning system operation and planning, steady-state and dynamic behaviors of power systems, or distribution systems. Each involves formulation of design criteria, development of approach, application of existing software. Prerequisite: either 1.0 in E E 454 or 1.0 in E E 455.
E E 457 Electric Energy Distribution Systems (4)
Introduction to electric utility distribution systems. Primary and secondary network analysis and design, distribution substation problems, distribution transformers, capacitor application, overcurrent and overvoltage protection. System planning and reliability. Prerequisite: 1.0 in E E 351.
E E 461 Introduction to Computer-Communication Networks (4)
Computer network architectures and protocols. OSI Layers and performance analysis. Transmission media, switching, multiple access arbitration. Network routing, congestion control, flow control. Transport protocols, real-time, multicast, network security. Prerequisite: CSE 143; either MATH 390/STAT 390, STAT 391, IND E 315.
E E 462 Principles of Mobile Robotics (4)
Design-oriented course in autonomous mobile robots. C programming, microprocessors, motors, gears, sensors, advanced sensing techniques, serial communications, PID control, algorithmic control, reactive control, multi-tasking. Laboratory exercises include design, construction, and testing of autonomous mobile robots, which compete at the end of the term.
E E 463 Autonomous Mobile Robots (4)
Design-oriented course in autonomous mobile robots. C programming, motors, sensors, IR and RF wireless communication, digital image processing, and robot motion control. Laboratory exercises include design, construction, and testing of autonomous mobile robots, which compete at the end of term. Prerequisite: E E 462.
E E 465 Fiber Optics, Devices, and Applications (4)
Wave propagation in optical waveguiding structures, signal distortion, coupling of modes, modulation, sources and detectors, fabrication and measurement methods, communication and sensor systems. Prerequisite: 1.0 in E E 332; recommended: E E 361.
E E 467 Antennas: Analysis and Design (4)
Fundamentals of antennas, analysis, synthesis and computer-aided design, and applications in communications, remote sensing, and radars. Radiation pattern, directivity, impedance, wire antennas, arrays, numerical methods for analysis, horn antennas, microstrip antennas, and reflector antennas. Prerequisite: 1.0 in E E 361.
E E 471 Computer Design and Organization (5)
Introduction to computer architecture, algorithms, hardware design for various computer subsystems, CPU control unit design, hardwired and microprogrammed control, memory organization, cache design, virtual memory, I/O organization, and I/O hardware design. Prerequisite: either E E 271 or CSE 370; CSE 143.
E E 472 Microcomputer Systems (5)
Concepts of multi-level machines and computer systems organization. Utilizing microprocessors, digital computer studied at assembly- and high-language levels with emphasis on concepts of central processor architecture, memory organization, input/output and interrupts. Assembly language programming concepts applied to solution of various laboratory problems including I/O programming. Prerequisite: either E E 271 or CSE 370; CSE 143.
E E 473 Linear Integrated Circuits (5)
Design of linear integrated circuits applying modern MOS and BJT integrated circuit technologies: single-stage amplifiers; current-mirror DC bias and active load circuits; stability and frequency compensation of single-stage and two-stage operational amplifiers; output stages; current and voltage reference circuits. Prerequisite: 1.0 in E E 332.
E E 476 Digital Integrated Circuit Design (5) Sechen
Comprehensive view of digital integrated circuit design. Topics to be covered include the design of inverters, static logic circuits, switch logic, and synchronous logic. Students design, simulate, and layout a complete digital IC using modern computer-aided design tools. Prerequisite: either E E 271 or CSE 370; E E 331; CSE 143.
Instructor Course Description:
Mani Soma
E E 477 VLSI II (5) Sechen
Provides a fairly deep understanding of how IC-based memory and datapath blocks are designed using static and dynamic CMOS technologies. Gives students extensive experience with industry-standard computer-aided design tools, including Cadence (Virtuoso, DRC, LVS) and Avanti (Hspice). Credit not allowed for both E E 477 and E E 525. Prerequisite: E E 476.
E E 478 Design of Computer Subsystems (5)
Design of digital computer subsystems and systems, using SSI, MSI, and LSI digital components. Combinational logic, sequential logic, memory hardware designs, I/O hardware and interface design, system design steps, high-speed digital circuit design, noise reduction techniques, and hardware description language. One four-hour laboratory each week and design project. Prerequisite: 1.0 in E E 331; 1.0 in E E 472.
E E 480 Microwave Engineering I (4)
Analysis and design of transmission lines and matching circuits. Lossy transmission lines. Mode structures in metallic and dielectric waveguides. Microwave resonators and magnetic devices. Smith chart and matching techniques. Prerequisite: 1.0 in E E 361.
E E 481 Microwave Electronic Design (4)
Design of microwave circuits using S-parameter techniques. Measurement techniques, CAD of microwave systems. Includes design, fabrication, and evaluation of a microwave amplifier. Prerequisite: 1.0 in E E 332; 1.0 in E E 361.
E E 482 Semiconductor Devices (4)
Fundamentals of semiconductor theory: carrier diffusion and drift; concept of direct and indirect energy materials, effective mass of mobile carriers; device physics: homo- and heterojunctions, operating principles of bipolar, junction, and MOS field-effect transistors. Prerequisite: E E 332; E E 361.
E E 484 Sensors and Sensor Systems (4)
Introduction to optical and solid-state chemical and physical sensors. Topics include transduction mechanisms, design parameters, fabrication methods and applications.
Instructor Course Description:
Denise M Wilson
E E 485 Introduction to Photonics (4)
Introduction to optical principles and phenomena. Topics include electromagnetic theory of light, interference, diffraction, polarization, photon optics, laser principles, Gaussian beam optics, semiconductor optics, semiconductor photonic devices. Prerequisite: E E 361 or PHYS 123.
E E 486 Fundamentals of Integrated Circuit Technology (3)
Processing physics, chemistry and technology, including evaporation, sputtering, epitaxial growth, diffusion, ion implantation, laser annealing, oxidation, chemical vapor deposition, photoresists. Design considerations for bipolar and MOS devices, materials and process characterization. Future trends. Prerequisite: either E E 482 or MSE 351. Offered: jointly with MSE 486.
E E 499 Undergraduate Research and Special Projects (2-5, max. 10)
Undergraduate research or design project carried out under the supervision of a faculty sponsor.
E E 500 Graduate Seminar (1, max. 9)
Weekly seminars on current topics in electrical engineering. More than one section may be offered in a given quarter. Credit/no credit only.
Instructor Course Description:
Jeffrey A. Bilmes
Howard Jay Chizeck
Jenq-Neng Hwang
E E 501 Radar Remote Sensing (3) Sahr
General introduction to radar remote sensing of geophysical targets. Fundamentals of radar systems, range-time diagram, ambiguity function, pulse compression, spectrum estimation for underspread and overspread targets; multi-antenna correlations, interferometry, closure phases; maximum entropy source imaging; Aperture Synthesis (SAR and ISAR). .
Instructor Course Description:
John D. Sahr
E E 502 Introduction to Microelectro Mechanical Systems (4)
Theoretical and practical aspects in design, analysis, and fabrication of MEMS devices. Fabrication processes, including bulk and surface micromachining. MEMS design and layout. MEMS CAD tools. Mechanical and electrical design. Applications such as micro sensors and actuators, or chemical and thermal transducers, recent advances. Offered: jointly with M E 504/MSE 504.
Instructor Course Description:
Karl F. Bohringer
E E 503 Modeling of MEMS (4) Mamishev
Explores microelectromechanical systems (MEMS) including lumped modeling, conjugate power variables, electrostatic and magnetic actuators, linear transducers, linear system dynamics, design optimization, and thermal analysis. Numerical modeling topics include electro (quasi) static, mechanical, electromechanical, magneto (quasi) static, and fluidic phenomena; parametric analysis, visualization of multi-dimensional solutions; and verification of validity of results. Offered: Sp.
E E 505 Probability and Random Processes (4)
Foundations for the engineering analysis of random processes: set theoretic fundamentals, basic axioms of probability models, conditional probabilities and independence, discrete and continuous random variables, multiple random variables, sequences of random variables, limit theorems, models of stochastic processes, noise, stationarity and ergodicity, Gaussian processes, power spectral densities. Prerequisite: graduate standing and understanding of probability at the level of E E 416. .
E E 506 Communication Theory I (3) Ritcey
Review of stochastic processes. Communication system models. Channel noise and capacity. Optimum detection, modulation and coding, convolutional coders and decoders. Typical channels, random and fading channels. Waveform communication, optimum filters. Prerequisite: E E 505 or equivalent. .
E E 507 Communication Theory II (3) Ritcey
Review of stochastic processes. Communication system models. Channel noise and capacity. Optimum detection, modulation and coding, convolutional coders and decoders. Typical channels, random and fading channels. Waveform communication, optimum filters. Prerequisite: E E 506 or equivalent.
E E 508 Stochastic Processes (3) Ritcey
Modeling and analysis of random processes encountered in engineering applications. Stationarity and ergodicity. Harmonic analysis, power spectral densities. Karhunen-Loeve expansions. Poisson, Gaussian, and Markov processes. Stochastic integrals and differential equations. Prerequisite: E E 505 or permission of instructor.
E E 510 Mathematical Foundations of Systems Theory (4)
Mathematical foundations for system theory presented from an engineering viewpoint. Includes set theory; functions, inverse functions; metric spaces; finite dimensional linear spaces; linear operators on finite dimensional spaces; projections on Hilbert spaces. Applications to engineering systems stressed. Prerequisite: graduate standing or permission of instructor. Offered: jointly with CHEM E 510/A A 510/M E 510; A.
E E 511 Introduction to Statistical Learning (4)
Covers classification and estimation of vector observations, including both parametric and nonparametric approaches. Includes classification with likelihood functions and general discriminant functions, density estimation, supervised and unsupervised learning, feature reduction, model selection, and performance estimation. Prerequisite: either E E 505 or CSE 515. Offered: W.
E E 512 Graphical Models in Pattern Recognition (4)
Bayesian networks, Markov random fields, factor graphs, Markov properties, standard models as graphical models, graph theory (e.g., moralization and triangulation), probabilistic inference (including pearl's belief propagation, Hugin, and Shafer-Shenoy), junction threes, dynamic Bayesian networks (including hidden Markov models), learning new models, models in practice. Prerequisite: E E 508; E E 511. Offered: Sp.
Instructor Course Description:
Jeffrey A. Bilmes
E E 514 Information Theory I (4)
Includes entropy, mutual information, Shannon's source coding theorem, data compression to entropy limit, method of types, Huffman coding, Kraft inequality, arithmetic coding, Kolmogorov complexity, communication at channel capacity (channel coding), coding theory, introduction to modern statistical coding techniques, differential entropy, and Gaussian channels. Prerequisite: E E 505.
E E 515 Information Theory II (4)
Includes advanced modern statistical coding techniques (statistical coding), advanced codes n graphs, source coding with errors (rate distortion), alternating minimization principles, channel coding with errors, network information theory, multiple description coding, and information theory in other areas including pattern recognition, bio-informatics, natural language processing, and computer science. Prerequisite: E E 514.
E E 516 Computer Speech Processing (4) Bilmes, Kirchhoff, Ostendorf
Introduction to automatic speech processing. Overview of human speech production and perception. Fundamental theory in speech coding, synthesis and reproduction, as well as system design methodologies. Advanced topics include speaker and language identification and adaptation. Prerequisite: E E 505; E E 518.
E E 517 Statistical Language Processing (4) Bilmes, Kirchhoff, Ostendorf
Introduction to major issues in natural language processing and human language technology, with emphasis on statistical approaches. Addresses topics in statistical parsing and tagging, dialogue systems, information extraction, and machine translation. Prerequisite: E E 505.
E E 518 Digital Signal Processing (4) Atlas
Digital representation of analog signals. Frequency domain and Z-transforms of digital signals and systems design of digital systems; IIR and FIR filter design techniques, fast Fourier transform algorithms. Sources of error in digital systems. Analysis of noise in digital systems. Prerequisite: knowledge of Fourier analysis techniques and graduate standing, or permission of instructor.
Instructor Course Description:
Les Eugene Atlas
Jeffrey A. Bilmes
E E 519 Stochastic Analysis of Data From Physical Systems (4) Atlas
Computer systems for acquisition and processing of stochastic signals. Calculation of typical descriptors of such random processes as correlation functions, spectral densities, probability densities. Interpretation of statistical measurements made on a variety of physical systems (e.g., electrical, mechanical, acoustic, nuclear). Lecture plus laboratory. Prerequisite: E E 505 or equivalent.
Instructor Course Description:
Les Eugene Atlas
E E 520 Spectral Analysis of Time Series (4)
Estimation of spectral densities for single and multiple time series. Nonparametric estimation of spectral density, cross-spectral density, and coherency for stationary time series, real and complex spectrum techniques. Bispectrum. Digital filtering techniques. Aliasing, prewhitening. Choice of lag windows and data windows. Use of the fast Fourier transform. The parametric autoregressive spectral density estimate for single and multiple stationary time series. Spectral analysis of nonstationary random processes and for randomly sampled processes. Techniques of robust spectral analysis. Prerequisite: one of STAT 342, STAT 390, STAT 481, or IND E 315. Offered: jointly with STAT 520.
E E 521 Multidimensional Signal Processing (3) Marks
Multidimensional (MD) signals and systems, MD sampling theorem, sample dependence in higher dimensions, MD FIR filter design using windows and the McClellan transform, MD IIR filter stability and design. Current topics in MD signals and systems. Prerequisite: E E 442 or E E 518 or equivalent.
E E 524 Wavelets: Data Analysis, Algorithms, and Theory (3)
Review of spectral analysis. Theory of continuous and discrete wavelets. Multiresolution analysis. Computation of discrete wavelet transform. Time-scale analysis. Wavelet packets. Statistical properties of wavelet signal extraction, smoothers. Estimation of wavelet variance. Offered: jointly with STAT 530; Sp.
E E 525 VLSI II (5) Sechen
Analyzes how IC-based memory and datapath blocks are designed using static and dynamic CMOS technologies. Gives students extensive experience with industry-standard computer-aided design tools, including Cadence (Virtuoso, DRC, LVS) and Avanti (Hspice). Credit not allowed for both E E 477 and E E 525. Prerequisite: E E 476.
E E 526 VLSI III (4) Helms, Sechen, Soma
Ultra-high speed digital logical families based on output prediction logic; high-speed division; input and output pad design; state-of the-art latch and flip-flop design; clock distribution, including PLLs and DLLs; noise considerations in high-speed digital IC design. Prerequisite: E E 477 or E E 525.
E E 527 Solid-State Laboratory Techniques (4) Darling
Principles and laboratory techniques used in solid-state electronics research. Basic familiarity with practices and equipment used on-campus. Laboratory safety; materials handling, storage and disposal; clean room use; photoresist characteristics; mounting, bonding, and probing; wet chemical etching; vacuum evaporation; patterning of metal films using photoresist. Extensive laboratory with limited enrollment. Prerequisite: graduate standing and permission of instructor.
Instructor Course Description:
Karl F. Bohringer
E E 528 Physics and Modeling f VLSI Fabrication (4)
Physics of VLSI fabrication, emphasizing processing modeling and simulation. CMOS process, sequences, point defects and diffusion, ion implantation and annealing, film growth kinetics, deposition and etching, advanced photolithography. Process interactions and process integration. Extensive use of process simulation software. Prerequisite: either E E 486/MSE 467, E E 520/M E 504/MSE 504, or E E 527. Offered: jointly with MSE 528.
E E 529 Semiconductor Optics and Optical Devices (4) Afromowitz, Yee
Perturbations of energy states in semiconductors; direct and indirect transitions; absorption processes; optical constants; absorption spectroscopy; radiative and nonradiative transitions; processes occurring at p-n junctions; junction devices; LEDs and lasers, photovoltaics; self-electro-optic effect device; modern laser structures. Prerequisite: graduate standing or permission of instructor.
E E 531 Semiconductor Devices and Device Simulation (4) Darling, Lauritzen, Yee
Physical principles in semiconductor devices. Generation, recombination, p-n junctions, MOS, metal-semiconductor and other interface structures. Carrier transport at low and high level injection levels. Device simulation used to demonstrate physical principles and basic device operation. Project using device simulation. Prerequisite: E E 482 or graduate standing.
E E 533 Photodetectors and Photodetection (4) Afromowitz, Yee
Includes both the device physics and signal processing aspects of photodetection. Photodiodes, photoconductors, photomultipliers, and solar cells are covered. Noise, signal to noise ratios and imaging considerations are also discussed. Prerequisite: E E 482 or graduate standing.
E E 534 Power Electronics (4)
Detailed study of DC-to-AC inverters, pulse-width modulated and resonant DC-to-DC converter topologies; drive and protection circuits for efficient switching of semiconductor devices. Includes extensive computer-aided circuit simulation and power supply control. Prerequisite: graduate standing.
E E 536 Design of Analog Integrated Circuits and Systems (4) Helms, Soma
Design of analog VLSI: specifications, design, simulation, layout. Covering CMOS and Bi CMOS technologies. Prerequisite: E E 433 or equivalent and graduate standing in electrical or computer engineering, or permission of instructor.
E E 537 Computation Methods for Circuit Analysis and Simulation (3)
Introduction to numerical algorithms and computer-aided techniques for the simulation of electronic circuits. Theoretical and practical aspects of important analyses: large-signal nonlinear DC, small-signal AC, nonlinear transient, and large-signal steady-state. Simulation concepts applied to the modeling and characterization of various electronic devices.
E E 538 Topics in Electronic Circuit Design (1-5, max. 5)
Topics of current interest in electronic circuit and system design. Course content varies from year to year, based on current professional interests of the faculty member in charge. Prerequisite: permission of instructor.
E E 539 Advanced Topics in Solid-State Electronics (1-5, max. 5)
Lectures or discussions of topics of current interest in the field of solid-state electronics for advanced graduate students having adequate preparation in solid-state theory. Subject matter may vary according to the interests of students and faculty. Prerequisite: permission of instructor.
Instructor Course Description:
Yi Tang
E E 540 VLSI Testing (4) Soma
VLSI testing and design-for-test techniques, covering digital systems, mixed analog-digital systems, integrated sensor systems, and radio-frequency systems. Projects include test algorithm design, testing of fabricated circuits, and parametric testing of state-of-the-art industry circuits. Prerequisite: either E E 477 or E E 525.
Instructor Course Description:
Mani Soma
Satnam Singh
E E 542 Advanced Embedded Systems Design (5) Peckol
Studies advanced embedded system design principles and practices. Emphasizes formal design methodologies such as hardware-software co-design, investigates techniques for performance optimization, and examines distributed embedded systems. Prerequisite: E E 478. Offered: A.
E E 543 Models of Robot Manipulation (3) Hannaford
Mathematical models of arbitrary articulated robotic (or biological) arms and their application to realistic arms and tasks, including the homogeneous coordinate model of positioning tasks, the forward and inverse kinematic models, the Jacobian Matrix, and the recursive Newton-Euler dynamic model. Prerequisite: linear algebra and graduate standing or permission of instructor.
E E 544 Advanced Robot Manipulation (4) Hannaford, Meldrum
Continuation of the analysis of robot manipulation, considering kinematic redundancy, control of robot manipulators in contact with the environment, teleoperation, and grasping with multi-fingered hands. Students will perform a project and critique a research paper in the area of the project. Prerequisite: E E 543.
E E 545 Autonomous Multi-Robot Systems (4)
Design-oriented course in autonomous multi-robot systems. Wireless peer communication protocols, multi-robot control methodologies and computational issues. Laboratory exercises include design, construction, and testing of multiple autonomous mobile robots, which compete as a team at the end of the term. Prerequisite: either E E 462 or E E 463 or graduate student standing.
E E 546 Advanced Topics in Control System Theory (1-5, max. 5)
Topics of current interest in control system theory for advanced graduate students with adequate preparation in linear and nonlinear system theory. Prerequisite: permission of instructor. Offered when adequate enrollment develops prior to close of advance registration.
Instructor Course Description:
Howard Jay Chizeck
E E 547 Linear Systems Theory (4)
Linearity, linearization, finite dimensionality, time-varying vs. time-invariant linear systems, interconnection of linear systems, functional/structural descriptions of linear systems, system zeros and invertibility, linear system stability, system norms, state transition, matrix exponentials, controllability and observability, realization theory. Prerequisite: either A A 447, E E 447 or M E 471. Offered: jointly with A A 547/M E 547.
E E 548 Linear Multivariable Control (3)
Introduction to MIMO systems, successive single loop design comparison, Lyapunov stability theorem, full state feedback controller design, observer design, LQR problem statement, design, stability analysis, and tracking design. LQG design, separation principle, stability robustness. Prerequisite: A A 547/E E 547/M E 547. Offered: jointly with A A 548/M E 548.
E E 549 Estimation and System Identification (3)
Fundamentals of state estimation for linear and nonlinear systems. Discrete and continuous systems. Probability and stochastic systems theory. Models with noise. Kalman-Bucy filters, extended Kalman filters, recursive estimation. Numerical issues in filter design and implementation. Prerequisite: E E 505 or AMATH 506 or STAT 506; recommended: 548 or A A 548. Offered: jointly with A A 549/M E 549.
Instructor Course Description:
Howard Jay Chizeck
Kristi A. Morgansen
E E 550 Nonlinear Optimal Control (3)
Calculus of variations for dynamical systems, definition of the dynamic optimization problem, constraints and Lagrange multipliers, the Pontryagin Maximum Principle, necessary conditions for optimality, the Hamilton-Jacobi-Bellman equation, singular arc problems, computational techniques for solution of the necessary conditions. Prerequisite: graduate standing; recommended: A A 548 or E E 548. Offered: jointly with A A 550/M E 550.
E E 551 Power System Protection (4) Liu
The protection of electric power systems from overcurrents and overvoltages. Analysis and design of overcurrents resulting from faults, lightning induced or otherwise, or from excessive loads or power swings. Analysis and design of overvoltages resulting from switching transients or lightning. Principal concern is with relays and lightning arrestors as protection means. Prerequisite: E E 455 or equivalent.
Instructor Course Description:
Richard Dunstan Christie
E E 552 Power Systems Dynamics and Control (4) Damborg, El-Sharkawi
Advanced computer modeling and analysis of power systems. Application of modern systems and control theories. Prerequisite: E E 351 and E E 455 or permission of instructor.
E E 553 Power System Economics (4) Christie, Damborg, Liu
Economic structure of power systems. Problem formulation, optimization methods and programming for economic analysis of power system operation and planning. Economic dispatch, load forecasting, unit commitment, interchange, planning and reliability analysis. Provides background to pursue advanced work in planning and operation. Prerequisite: graduate standing or permission of instructor.
E E 554 Large Electric Energy Systems Analysis (4) Christie, Liu
Deals with problems whose solution depends upon the inversion of sparse matrices that occur in the planning and operational studies of large interconnected energy systems. Application studies include system model development, state estimation, and load flow. Prerequisite: E E 456 or permission of instructor.
E E 555 Fundamentals of Intelligent Systems (4)
Fundamentals and applications of intelligent systems and biologically inspired algorithms such as neural networks, evolutionary computations, swarm optimization and fuzzy systems. Solving complex engineering applications with a combination of these technologies as well as with more traditional approaches such as statistical system theories.
E E 559 Special Topics in Electrical Energy Systems (1-5, max. 5)
Topics of current interest in electrical power and energy devices and systems. Content varies from year to year, based on current professional interests of faculty member in charge. Prerequisite: permission of instructor.
E E 562 Artificial Intelligence for Engineers (3) Shapiro
Covers main areas of artificial intelligence (AI) without need for extensive prerequisites. Programming languages for AI; problem solving; representations; control strategies; searching strategies; predicate calculus; rule-based deduction; goal-directed planning; knowledge-based systems. Prerequisite: CSE 373 or equivalent.
E E 565 Computer-Communication Networks I (4)
Network architectures and protocols; layered model; reliable transmission protocols at the data control layer; Transmission Control Protocols (TCP); routing algorithms; performance modeling, and analysis of packet-switched networks. Multi-access. Projects involving routing and multi-access principles. Prerequisite: E E 505 or equivalent.
E E 566 Computer-Communication Networks II (3)
Local area, metropolitan area, satellite, and packet radio networks; routing algorithms for wide area networks; optimal design of packet-switched networks; congestion and flow control; fast packet switching; gigabit networks. Prerequisite: E E 565 or permission of instructor.
E E 567 Mobile Radio Networks (3)
Wireless communication networks, including digital broadcasting, wireless LAN, wireless access networks and ultra wide band (UWB); OFDM modem design; MAC and RLP; TCP/UDP over wireless; cross-layer protocol optimization; radio network planning. Prerequisite: E E 506; E E 565.
E E 568 Image Processing Computer Systems (4) Kim
All components of digital image-processing computer systems. Two-dimensional filtering and optimal filter design as well as basic image processing operations. Selected advanced image processing topics. Individual student project. Prerequisite: permission of instructor. Offered: jointly with BIOEN 568.
E E 570 Manifolds and Geometry for Systems and Control (3) Morgansen
Introduction to fundamentals of calculus on manifolds and group theory with applications in robotics and control theory. Topics include: manifolds, tangent spaces and bundles, Lie groups and algebras, coordinate versus coordinate-free representations. Applications from physics, robotics, and control theory. Offered: jointly with A A 570 and M E 570; W; even years.
E E 571 High Frequency Circuits and Antennas: Computation of Fields and Waves (4)
Planar microstrip structures are high frequency circuits and antennas used in communication, aerospace and computer industries. Examines the computation of fields and waves in such structures. How to calculate circuit parameters and radiation characteristics. Structures studied include microstrip lines, coupled lines, antennas, resonators, and discontinuities. Prerequisite: E E 482, E E 572, or equivalent.
E E 572 Electromagnetic Theory and Applications I (4)
Electromagnetic waves in layered media; complex waves, leaky and slow waves, waves in periodic structures, optical fibers, ionosphere and other guiding structures; transients and dispersive media; waveguides and cavities; beam waves; eigenfunctions and eigenvalues. Prerequisite: graduate standing or permission of instructor.
E E 573 Electromagnetic Computations and Applications I (4) Tsang
Fundamentals of computational electromagnetics, method of moments, integral equations, basis functions, iterative methods, periodic structures and Green's Functions finite difference time domain method, Yee's lattice, absorbing boundary conditions, variational principles, and finite element method. Applications in antennas, waveguides, and scattering problems. Prerequisite: E E 572 or permission of instructor.
E E 574 Electromagnetic Computations and Applications II (4) Tsang
Current topics in computational electromagnetics, fast multipole multilevel method, sparse matrix canonical grid method, wavelet based methods, recursive method, spectral time domain method. Applications in large scale problems such as array antennas, radar cross section, rough surface scattering, and dense media scattering, Prerequisite: E E 573 or permission of instructor.
E E 575 Waves in Random Media (4) Tsang
Propagation and scattering of electromagnetic, optical, and acoustic waves in turbulence and random media, scattering from rough surfaces and randomly distributed particles. Atmospheric turbulence, fog, rain, smog, clear-air turbulence detection, remote sensing, terrain scattering, scattering from blood cells and tissues, scattering by ocean waves. Applications to atmospheric sciences, bioengineering, geoscience, ocean engineering. Prerequisite: graduate standing or permission of instructor.
E E 576 Computer Vision (3)
Overview of computer vision, emphasizing the middle ground between image processing and artificial intelligence. Image formation, preattentive image processing, boundary and region representations, and case studies of vision architectures. Prerequisite: Solid knowledge of linear algebra, good programming skills, CSE or E E major or permission of instructor. Offered: jointly with CSE 576.
E E 577 Special Topics in Computer Vision (3)
Topics vary and may include vision for graphics, probabilistic vision and learning, medical imaging, content-based image and video retrieval, robot vision, or 3D object recognition. Prerequisite: CSE/E E 576 or permission of instructor. Offered: jointly with CSE 577.
E E 578 Optimization in System Sciences (3) Mesbahi
Covers convex sets, separation theorems, theorem of alternatives and their applications, convex analysis, convex functions, conjugation, subgradients, convex optimization, duality and applications, linear and semi-definite programming. Linear matrix inequalities, optimization algorithms, applications in system theory and control, bilinear, rank minimization, optimization software. Recommended: A A/M E/E E 547. Offered: jointly with A A/M E 578; W.
Instructor Course Description:
Maryam Fazel Sarjoui
E E 579 Advanced Topics in Electromagnetics, Optics, and Acoustics (1-5, max. 5)
Topics of current interest in electromagnetics, optics, and acoustics. Content varies from year to year, based on current professional interests of faculty member in charge. Prerequisite: permission of instructor.
E E 580 Geometric Methods for Non-Linear Control Systems (3) Morgansen
Analysis and design of nonlinear control systems focusing on differential geometric methods. Topics include controllability, observability, feedback linearization, invariant distributions, and local coordinate transformations. Emphasis on systems evolving on Lie groups and linearly uncontrollable systems Prerequisite: A A 570/E E 580/M E 580. Offered: jointly with A A 580/M E 580; Sp; even years.
E E 581 Digital Control (3) Chizeck
Sampled-data systems, and z-transform. Frequency domain properties. Sampling D/A and A/D conversion. Controller design via discrete-time equivalents, direct methods, state feedback and observers. Quantization effects. LQR control and introduction to LQG optimal control. Prerequisite: either E E/A A/ or M E 548. Offered: jointly with A A/M E 581; W.
Instructor Course Description:
Howard Jay Chizeck
E E 582 Introduction to Discrete Event Systems (3) Berg
Modeling DES with automata and Petri nets. Languages. State estimation and diagnostics. Control specifications. Feedback control. Dealing with uncontrollability and unobservability. Dealing with blocking. Timed automata and Petri nets. Prerequisite: A A 447/E E 447/ M E 471. Offered: jointly with A A 582/M E 582; even years; Sp.
E E 583 Nonlinear Control Systems (3)
Analysis of nonlinear systems and nonlinear control system design. Phase plane analysis. Lyapunov stability analysis. Describing functions. Feedback linearization. Introduction to variable structure control. Prerequisite: A A/E E 447/M E 471. Offered: jointly with M E/A A 583; odd years; Sp.
E E 585 System Identification and Adaptive Control (3)
Theory and methods of system identification and adaptive control. Identification of linear-in-parameter systems, using recursive LS and extended LS methods; model order selection. Indirect and direct adaptive control. Controller synthesis, transient and stability properties. Prerequisite: either E E 505 or AMATH 506 or STAT 506; E E 548/A A 548/M E 548. Offered: jointly with M E 585/A A 585.
E E 586 Digital Video Coding Systems (4) Sun
Introduction to digital video coding algorithms and systems. Theoretical and practical aspects of important topics on digital video coding algorithms, motion estimation, video coding standards, systems issues, and visual communications. Prerequisite: graduate standing or permission of instructor.
E E 587 Multimedia Compression and Networking (4) Hwang
Addresses four major components of multimedia: 1) data compression of multimedia (e.g., speech, audio, image, and video); 2) quality of service (QoS) issues for data transmission over IP; 3) multimedia streaming and conferencing applications; and 4) intellectual property management and protection (IPMP) of multimedia contents. Co-requisite: E E 518.
E E 589 Advanced Topics in Sensors and Sensor Systems (3)
Topics of current interest in sensors and sensor systems. Prerequisite: permission of instructor.
E E 590 Advanced Topics in Digital Computers (2-5, max. 15)
Lectures or discussions of topics of current interest in the field of digital systems. Subject matter may vary from year to year. Prerequisite: permission of instructor.
E E 591 Robotics and Control Systems Colloquium (1, max. 3)
Colloquium on current topics in robotics and control systems analysis and design. Topics presented by invited speakers as well as on-campus speakers. Emphasis on the cross-disciplinary nature of robotics and control systems. Credit/no credit only. Offered: jointly with A A/CHEM E/M E 591.
Instructor Course Description:
Maryam Fazel Sarjoui
E E 592 Electrical Engineering Research Survey (1)
Weekly presentations on current research activities by members of the department. Credit/no credit only.
E E 593 Feedforward Control (3) Devasia
Design feedforward controllers for precision output tracking; inversion-based control of non-minimum-phase systems; effect of plant uncertainty on feedforward control; design of feedforward controllers for applications such as vertical take off and landing aircraft, flexible structures and piezo-actuators. Prerequisite: A A 547/E E 547/M E 547. Offered: jointly with A A/M E 593; Sp; even years.
E E 594 Robust Control (3)
Basic foundations of linear analysis and control theory, model realization and reduction, balanced realization and truncation, stabilization problem, coprime factorizations, Youla parameterization, matrix inequalities, H-infinity and H2 control, KYP lemma, uncertain systems, robust H2, integral quadratic constraints, linear parameter varying synthesis, applications of robust control. Offered: jointly with A A 594/M E 594; odd years; Sp.
E E 595 Advanced Topics in Communication Theory (1-5, max. 5)
Extension of 507, 508, 518, 519, 520. Material differs each year, covering such topics as: detection theory, decision theory, game theory, adaptive communication systems, nonlinear random processes. Prerequisite: permission of instructor.
Instructor Course Description:
Jeffrey A. Bilmes
E E 596 Advanced Topics in Signal and Image Processing (2-5, max. 5)
Topics of current interest in signal and image processing. Content may vary from offering to offering. Prerequisite: permission of instructor.
Instructor Course Description:
Jeffrey A. Bilmes
Jenq-Neng Hwang
E E 597 Networked Dynamics Systems (3)
Provides an overview of graph-theoretic techniques that are instrumental for studying dynamic systems that coordinate their states over a signal-exchange network. Topics include network models, network properties, dynamics over networks, formation control, biological networks, observability, controllability, and performance measures over networks. Prerequisite: A A 547/E E 547/M E 547. Offered: jointly with A A 597/ME 597.
E E 599 Selected Topics in Electrical Engineering (*)
Prerequisite: permission of instructor.
E E 600 Independent Study or Research (*)
E E 700 Master's Thesis (*)
E E 800 Doctoral Dissertation (*)
