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. apath and control; schematic/Verilog-based design, simulation, and implementation in Field Programmable Gate Arrays; timing analysis; simple CPU desi

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

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.

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.

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.

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

Applied electromagnetics for large- and small-scale electromechanical systems. Comprehensive design project. Capstone design experience.

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.

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

Register transfer level machine organization; MIPS instruction setarchitecture; performance; computer arithmetic; organization and detailed implementation of non-pipelined and pipelined processors; cache and virtual memory. Not available for graduate credit to computer science majors.

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.

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) coding, multi-plexing, noise, error rates, spectral analysis and power. Review of satellite, HDTV, mobile and fiber-optic systems. Not available for degree credit to students in the Communication Theory track in the Ph.D. in Electrical Engineering program.

Introductory design/research laboratory in lasers and optics, which typically includes fiber optics, photonics, electro-optics, optical sensors, optical communication, optical signal processing and computing.

Photonic system requirements; waveguide modes and dispersion; principles of operation of lasers, optical amplifiers, detectors and modulators; noise.

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.

Analysis, stimulation, design, and experimental verification of mechanical control systems; identification of system parameters, implementation of controllers, verification of closed-loop performance via experimentation and stimulation. Duplicates credit in 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.

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

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

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

Wireless Internet access and security technologies, 3G cellular and WAP systems, mobile device architecture, firewalls and intrusion detection, and public key infrastructure for pervasive, cluster, grid, and Internet computing. Recommended preparation: EE 457

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.

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

HV and EHV power system protection topics: power line carriers, phase comparison, directional comparison, transfer trip, multi-terminal lines, breaker failure and generation.

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.

Review of Poisson and Markov processes; Markovian and non-Markovian queueing systems; networks of queues; priority queueing; applications of the theory to computer systems and communication networks.

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.

Comparative studies of computer system components: the CPU, memory, and I/O; analytical modeling techniques to allow comparative evaluation of architectures; parallelism and supercomputers.

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.

b. Orthogonal or independent increment processes. Poisson processes. Nonlinear operations on random processes; power-law detectors. Markov chains and processes; the Fokker-Planck equation; level crossing problems.

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

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.

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

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.

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.

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.

Design, technology and manufacturing of microwave monolithic integrated cicuits (MMICs) of FaAs substrates. Comprehensive tranceiver design project.

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.

Protocol modelling: flow and congestion control, dynamic routing, distributed implementation; broadcast communication media and multiple access protocols; local networks, satellite networks, terrestrial radio networks.

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

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

Selected topics from current active research areas including image segmentation, shape analysis and object recognition, inference of 3-D shape, motion analysis, knowledge-based system, neural nets.

Synthesis; partitioning; placement; routing of digital circuits; integrated circuit design methods; simulation at the switch, gate, register transfer and system levels. Recommended preparation: EE 577a.

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.