Schedule of Classes

Boolean algebra; number systems; Boolean function synthesis; binary arithmetic; codes; combinational logic devices; sequential circuits; state machine design and implementation.

Mathematical models used for electronic system design. Automata, state models, differential equations, convolution, sampling, and frequency response. Communications, signal processing, and control applications.

Digital system design and implementation; synchronous design of datapath and control; schematic/Verilog-based design, simulation, and implementation in Field Programmable Gate Arrays; timing analysis; simple CPU design; semester-end project. Prerequisite: EE 101.

Lumped circuit elements; network equations; zero-input and zero-state responses; sinusoidal steady-state analysis; impedance;resonance; network functions; power concepts; transformers; Laplace transforms.

Introduction to the theory of matrices, vector spaces, least-squares approximation and MATLAB. Applications to communications, control and signal processing.

Representation and analysis of linear time-invariant systems primarily for the continuous time case. Convolution, Fourier series and transform, Laplace transform, controls and communications applications.

Fundamentals of sound, acoustics and digital audio signal processing.

Network analysis and theorems; transient analysis; transformers; semiconductor physics and circuits; power amplifiers, modulation and demodulation, and pulse, digital, and switching circuits. Introduction to instrumentation. Not available for credit to electrical engineering majors.

Basic static and dynamic electromagnetic field theory and applications; electrostatics, magnetostatics, Maxwell's equations, energy flow, plane waves incident on planar boundaries, transmission lines.

Methods to control and exploit the phenomena of nano-science, and the integration of nano-technology into systems. Development of fundamental concepts through a series of experimental modules. Duplicates credit in the former EE 238.

Semiconductor device characteristics and applications. Physical models of electronic conduction in solids, p-n junctions, bipolar and field effect transistors and other solid state devices. Not for credit to students who have taken 378L.

Basic analog and digital circuit design using Bipolar Junction Transistors, Field Effect Transistors, and integrated circuits.

HTML progrmming for creating home pages, installation and modification of Web server, writing progrms that offer enhanced services, manipulation of graphics, video and sound.

Computer organization and architecture. Concepts include: computer evolution and performance, system busses, cache memory, internal and external memory, input/output, operating system support, computer arithmetic.

Organization and operation of the processor, memory and I/O of a minicomputer at the machine language level; assembly language programming; data representation and computer arithmetic.

Introduction to concepts of randomness and uncertainty: probability, random variables, statistics. Applications to digital communications, signal processing, automatic control, computer engineering and computer science.

Introduction to micro-electro-opto-mechanical systems; scaling effects on material properties, fluid flows, dynamical behavior; fabrication methods; design considerations for MEMS sensors and actuators. Recommended preparation: AME 301, AME 309 and AME 310

Project-based design of loudspeaker transducers, filters, and enclosures. Measurement of transfer functions, acoustical performance, distortion, Thiele-Small parameters, and power handling. Listening evaluations. Recommended preparation: EE 330. Capstone design experience.

Experiments and design project in digital signal processing (e.g. real-time DSP, acoustics, video) including: system specification, preliminary analysis, trade-off studies, implementation, presentation. Recommended preparation: EE 469. Capstone design experience.

Crystal structures, x-ray diffraction, thermal properties of solids, diamagnetism and paramagnetism, free-electron model of metals, semiconductors, ferromagnetism, super-conductivity, imperfections in crystals.

Applications and electrical evaluation of selected processes used in electronic microfabrication.

Introduction to linear algebra and matrix theory and their underlying concepts. Applications to engineering problems.

Components of power systems. Analysis techniques in electrical power generation transmission and utilization. Environmental and economic considerations in system operations and planning. Recommended preparation: 370.

Application of solid-state electronic devices to the design of linear and mixed-signal systems. Laboratory experiments and projects involving the design of electronic hardware. Capstone design experience.

Network architectures; layered protocols, network service interface; local networks; long-haul networks; internal protocols; link protocols; addressing; routing; flow control; higher level protocols.

Architectural principles underlying modern game console hardware design; introduction to the programming techniques, optimization strategies, and hardware insights to create powerful games.

Operation and timing of 8/16/32-bit microprocessors; asynchronous and synchronous SRAM interface; burst and pipelined bus cycles, parallel and serial I/O, interrupt controller, DMA controller, bus protocols; hardware/simulation labs. Recommended preparation: EE 457

Intensive introduction to programming principles, discrete mathematics for computing, software design and software engineering concepts. Not available for credit to computer science majors, graduate or undergraduate.

Register transfer level machine organization; MIPS instruction set architecture; performance; computer arithmetic; organization and detailed implementation of non-pipelined and pipelined processors; cache and virtual memory.

Specification, design, implementation, testing and documentation of a digital system project using embedded processors, programmable logic, analog I/O interfaces and application specific hardware. Capstone design experience.

Concepts and algorithms underlying the understanding and construction of intelligent systems. Agents, problem solving, search, representation, reasoning, planning, communication, perception, robotics, neural networks.

Axiomatic foundations of probability, random variables, functions of several random variables, introduction to statistics, sequences of random variables.

Review of probability; random variables; stochastic processes; Markov chains and simple queuing theory. Applications to program and algorithm analysis; computer systems performance and reliability modeling.

Analog and digital communication systems. Modulation (AM, FM) Analog and digital communication systems. (De)modulation and (de)multiplexing of AM/FM/PM, noise, digital data formats, error rates, and spectral analysis. Review of wireless, networking, and optical systems.

Chemical and physical properties of solid materials used by chemical engineers, including polymers, metals, and ceramics. Materials design for industrial applications.

Analysis and design of digital MOS VLSI circuits including area, delay and power minimization. Laboratory assignments including design, layout, extraction, simulation and automatic synthesis.

Analysis and design techniques for CMOS analog and non-linear integrated circuits. Frequency and noise characteristics of broadband amplifiers. Feedback, oscillators, and phase-locked loops.

Next-generation nanoscale materials and electronic devices: nanoscale fabrication and characterization, nanomaterials, nanoelectronics, and nanobiotechnology.

Vibration measurement and analysis; simulation, design, and experimental verification of mechanical control systems; system identification; implementation of controllers; performance evaluation via experimentation and stimulation. Duplicates credit in the former AME 442bL.

Fundamentals of Digital Signal Processing covering: discrete time linear systems, quantization, sampling, Z-transforms, Fourier transforms, FFTs and filter design.

Design and analysis of analog and digital communication systems. System models, requirements, development, performance analysis and component selection techniques. Comprehensive system design project. Recommended preparation: EE 467

Individual research and readings. Not available for graduate credit.

Atomic structure, bonding in covalent, ionic and Van der Waals crystals, Brillouin zones, lattices, diffraction, electronic states, lattice vibrations, specific heat, electrical conductivity, and magnetism.

Laboratory oriented with lectures keyed to practical procedures and processes. Solid-state fabrication and analysis fundamentals; basic device construction techniques. Prerequisite: BSEE

Overview of electromagnetics needed to understand and design photonic devices. Includes discussion of waveguides and resonant cavities and an introduction to photonic crystals.

Design and operation of solar photovoltaic energy converters, thermovoltoic energy converters, thermoelectric energy converters, and solid state light emitters; their roles in renewal and conservation of energy. Recommended Preparation EE 338.

Presents statistics with engineering emphasis. Topics include confidence intervals, hypothesis testing, estimation, regression, nonparametric tests, analysis of variance, quality control, and experimental design. Recommended preparation: EE 464 or other probability course

Transmission lines; transients in power systems; control; stability. Special topics.

Fundamentals of digital audio signal processing, room acoustics, and psychoacoustics. Algorithms for real-time implementation of immersive audio systems for integrated media applications.

Overvoltages during faults, voltage recovery, arcing faults, restrikes, theory of switching surges. Systems grounding, traveling waves, lightning and surge protection, insulation coordination.

Renewable energy sources and their integration in electrical networks. Power-flow control from highly variable resources. Cost analysis and planning.

Theory of nonlinear optical susceptibility and application to self-focusing, harmonic generation, and parametric interactions. Raman and Brillouin scattering. Coherent spectroscopy.

Characterization of solids by optical microscopy, electron microscopy, (TEM, SEM) and elemental and structural analysis (EPMA, ESCA, AES, SIMS, HEED, LEED, SED, etc.).

The mobile communication channel; techniques used to combat the channel; cellular communications; multiple-access techniques; example mobile communication systems. Recommended preparation: EE 567

a: MOSFET operation and models; voltage references and biasing; elementary amplifier configurations; design techniques for high-speed operational amplifiers, comparators and transconductors; compensation methods.

b: Non-linear integrated circuits, data-converter architectures and implementations, comprehensive design project.

Integrated-circuit technologies for mixed-signal communication and data systems. Constituent device models and their limitations. Contemporary research topics.

Fundamentals of light amplification; laser amplifiers and oscillators; atomic pumping; maser and laser systems; definitions of coherence; measurements in quantum electronics.

Design, analysis and implementation of digital control systems using microcomputers; Z-transform methods; frequency domain and state space approach; computational aspects; sampling and quantization.

Elements of radio frequency communication systems: modulation/demodulation strategies, transmission-channel impairments, performance criteria, hardware (low-noise amplifiers, mixers, oscillators), digital back-end, contemporary case studies.

Fundamental skills for modeling and controlling of dynamic systems for robotic applications and graphics animations; control theory; kinematics; dynamics; sensor processing; real-time operating systems; robot labs.

Survey of techniques for the design of large-scale, distributed, networked, embedded systems. Examples include sensor/actuator networks, wearable computing, distributed robotics and smart spaces.

Applications of stochastic modeling and optimization techniques to communication network design and analysis. Data link control; performance models; multi-access channels; routing and flow control.

Asynchronous channels and architectures; implementation design styles; controller synthesis; hazards, and races; Petri-nets; performance analysis, and optimization; globally asynchronous locally synchronous design. Open only to graduate students.

Computer algorithms for system optimization. Search techniques, gradient methods, parameter optimization in control systems. Optimization with constraints; linear and nonlinear programming. Random search techniques.

Structure of real-time computer systems; analog signals and devices; scheduling, synchronization of multiprocessors; reliability, availability; serial/parallel computations; real-time operating systems and languages; design examples.

ATM and BISDN, switch designs, high speed local, campus and metropolitan area networks, lightwave and photonic networks, network management techniques, applications and gigabit testbeds.

Introductory probability; Markov chains; Martingales and stopping times; Brownian motion; Ito's calculus and formula; Black-Scholes formula; arbitrage pricing and risk neutral measures; options.

Computer architecture from a design perspective: Pipelined processors, speculative execution, VLIW, vector processors, memory systems, interconnection networks, shared-memory and message-passing multiprocessors, chip multiprocessors.

State-of-the-art optical fiber communication system. Emphasis on optoelectronic-device and communication-systems issues necessary to provide high-speed and/or networked optical communications. Recommended preparation: EE 338; basic knowledge of optics, semiconductor, and communications concepts.

Distribution free classification, discriminant functions, training algorithms; statistical classification, parametric and nonparametric techniques, potential functions; non-supervised learning.

Foundations of symbolic intelligent systems, search, logic, knowledge representation, planning, learning. Recommended preparation: good programming and algorithm analysis skills

a: Random vectors, sequences, and functions. Linear transformations, second moment theory, spectral densities, narrowband processes, Gaussian processes, correlation detection, linear minimum mean square error estimation.

Elementary statistical design theory with applications to the design of digital communications receivers and radar receivers; signal design in digital communications.

Information measures; asymptotic equipartition property; source coding theorem; noiseless coding; cryptography, channel coding theorem; rate distortion theory; Gaussian channels; multiple user source and channel theory.

Coherent and incoherent optical transforming, imaging and two-dimensional information processing systems; optical image processing, spatial frequency response and filtering; optical and digital holography. Prerequisite: Knowledge of Fourier transform analysis. Recommended preparation: EE 401 and EE 464.

Linear block codes. Combinatorial decoding of block codes; convolution codes; probabilistic formulation of decoding methods; decoding methods; examples.

Static and dynamic electromagnetic field theory; solution of scalar and vector boundary value problems; Kirchhoff radiation theory; geometrical optics and geometrical diffraction theory. Prerequisite: 470.

Static and dynamic electromagnetic field theory; solution of scalar and vector boundary value problems; Kirchhoff radiation theory; geometrical optics and geometrical diffraction theory.

Particle drifts, collision phenomena, Boltzmann and Vlasov equations, hydrodynamic equations, Coulomb interactions; waves in a cold and hot plasma, plasma oscillations, Landau damping, hydromagnetic waves.

Analysis of idealized antenna models, including the dyadic Green's function, reciprocity, aperture radiation, methods of moments, geometrical and physical optics, reflectors, arrays.

Integrated circuit fabrication; circuit simulation; basic device physics; simple device layout: structured chip design; timing; project chip; MOS logic; system design; silicon compilers.

VLSI design project; chip level design issues: power and clock distribution, packaging, I/O; design techniques; testability; chip fabrication and test.

Mobile ad hoc networks: ad hoc and geographic routing, resource discovery, medium access control, IP-mobility, mobility modeling, wired-wireless networks. Lab: wireless LAN measurement, mobile-IP, ad hoc routing. Recommended preparation: programming, network simulation

Mathematical techniques employed in computer-aided-design systems, including: graph theory, algorighmic and heuristic techniques for combinatorial problems, data structures and modeling. Recommended preparation: CSCI 570, CSCI 455.

Wiener filtering, linear prediction, method of steepest descent, stochastic gradient algorithms, recursive least-squares (RLS), fast RLS, RLS with systolic arrays, QRD-least squares methods, blind deconvolution.

Logistic map, chaotic bifurcation, strange attractors, and fractals. Conservative dynamical systems and measure preserving transformations. Ergodicity. Kolmogorov-Sinai entropy. Chaotic/stochastic realization. Chaos in feedback.

Analysis of linear dynamical systems by state-space techniques; controllability, observability, stability, passivity. Application of feedback control and network synthesis.

Real-time adaptive signal processing design projects using special purpose DSP processors. Suitable project areas include acoustics, speech, arrays, image compression and biomedical signal processing.

Research leading to the master's degree. Maximum units which may be applied to the degree to be determined by the department. Graded CR/NC.

Analytic tomographic reconstruction from projections in 2-D and 3-D; algorithms for model based reconstruction; maximum likelihood and Bayesian methods; applications to CT, PET and MRI.

Credit on acceptance of Thesis. Graded CR/NC.

For the Master's Degree. Credit on acceptance of Thesis. Graded CR/NC.

For the Master's Degree. Credit on acceptance of Thesis. Graded CR/NC.

The course content will be selected each semester to reflect current trends and developments in the field of electrical engineering.

Non-equilibrium processes in modern semiconductor devices. Carriers lifetime and trapping; luminescence; hot carrier and high field effects.

Exploration of the technology methods and physical principles of MEMS, and survey various MEMS of current interest.

Advanced topics in automatic speech recognition, speaker recognition, spoken dialogue, coversational multimedia interfaces.

Analysis and design of high-speed integrated communication systems at circuit and system levels. Emphsis on broadband wireless applications. Transceiver architectures, amplifiers, oscillators, frequency synthesizers.

First order design of optical systems; origin of aberrations and their effects on wave propagation and imaging based on geometrical and physical optics.

Optimization of wireless and ad-hoc mobile networks; opportunistic scheduling, flow control; backpressure routing; queue stability; energy-delay and utility-delay tradeoffs. Recommended preparation: EE 549 or EE 550.

Parallel programming models/software tools, multiprocessor systems, multicomputer clusters, latency tolerance, multithreading, fast message passing/middleware, interconnection networks, SMP, cluster, and grid computing applications.

Theory, design, and analysis of interconnection networks for multiprocessor systems. Study of direct and indirect topologies, deadlock-free routing, flow control, network interfaces, optical interconnects.

Lossless compression, audio/speech coding, vector quantization, fractal compression, JPEG and JPEG-2000, video compression techniques and MPEG standards, video transmission over wired and wireless networks. Recommended preparation: EE 464

Computational research in music cognition, including computational methods for music analysis, such as the abstracting and extracting of pitch and time structures. Computational research in expressive performance, the manipulation of parameters (e.g., tempo, loudness, articulation) to focus attention, facilitate parsing, and create emotional affect. Open to graduate engineering students only. Recommended preparation: programming experience (C++ or Java), basic signal processing and music theory.

Laboratory study of specific problems by candidates for the degree Engineer in Electrical Engineering. Graded CR/NC.

Research leading to the doctorate. Maximum units which may be applied to the degree to be determined by the department. Graded CR/NC.

Credit on acceptance of Dissertation. Graded CR/NC.

Credit on acceptance of Dissertation. Graded CR/NC.

Credit on acceptance of Dissertation. Graded CR/NC.

Credit on acceptance of Dissertation. Graded CR/NC.

Credit on acceptance of Dissertation. Graded CR/NC.