Electrical Engineering and Computer Science

Course Descriptions

Electrical Engineering (EE)

To view the complete schedule of courses for
each semester, go to Cardinal Station.

EE 311: Signals and Systems

3.00 Credits

Techniques for analysis and synthesis of signals, both continuous and discrete. Engineering applications involving simple design problems. Mathematical modeling methods for both continuous and discrete time systems. Techniques include the Fourier Series, Fourier and Laplace Transforms. Computer-aided design methods used to obtain hands-on experience in analysis and simulation. Prerequisite: ENGR 212.

EE 312: Microprocessor Programming and Design

3.00 Credits

This course presents the fundamentals of microprocessor architecture and interfacing. Topics include instruction set architecture, assembly language, debugging and IO device interfacing techniques. The PIC processor architecture will be studied, utilizing windows based integrated development environment and tools suite. A PIC hardware evaluation board is used as the basis for interfacing experiments. Software will be written in assembly language. The Pentium processor architecture and the PCI bus will be studied. A hardware/software project will be assigned towards the end of the course. The course is 50% lab and 50% lecture. Prerequisite: EE 326 Switching Circuits and Logic Design

EE 322: Electronic Circuits II

3.00 Credits

Study of feedback, the analysis, design, and applications of operational amplifiers, oscillators, multivibrators, wideband amplifiers, tuned amplifiers, and power amplifiers. Prerequisites: EE 311, ENGR 321.

EE 326: Switching Circuits and Logic Design

3.00 Credits

Analysis and design of digital circuits, number systems, combinational and sequential circuits. Basic computer arithmetic, applications and implementation of logic design. Prerequisite: permission of instructor.

EE 342: Electromagnetic Fields and Waves

3.00 Credits

Theory and application of electromagnetic waves. Maxwell's equations in vector differential form introduced; solutions to the wave equation for bounded and unbounded cases examined. The rectangular waveguide and the transmission line are studied. Radiation from simple geometrics included. Prerequisites: ENGR 222, PHYS 216.

EE 356: Electrical Laboratory II

2.00 Credits

Correlated sequence of laboratory experiments designed to illustrate the theory of junior-level electrical engineering courses, including active filters, nonlinear applications of operational amplifiers, switching and logic circuits, digital system design, push-pull amplifiers, oscillators, A/D and D/A converters, signal processing and digital filters. Prerequisites: EE 326, ENGR 355; concurrent: EE 322.

EE 357: Electromag Laboratory

1.00 Credits

This laboratory course is offered in conjunction with the junior level courses on Electromagnetic Fields and Waves (EE342) and Analog and Digital Signal Processing (EE362). The electromagnetic component of the lab covers experiments related to the basic concepts, fundamental principles of antennas and electromagnetic fields. The signal processing component covers experiments related to techniques for analysis and synthesis of signals and includes techniques such as the Fourier series, Fourier and Laplace transforms digital filter design. Computer-aided design methods will be used to obtain hands-on experience in analysis and simulation. Prerequisite: In conjunction with EE342 Prerequisite: EE326, ENGR 355; concurrent: EE322

EE 362: Analog and Digital Signal Processing

3.00 Credits

Analysis and synthesis of analog and digital filters. Laplace and Fourier analysis used in analog filter design, with z-transform analysis in digital filter design. Fundamentals of digital signal processing, relevant to digital filtering. Computer-aided design and simulation. Prerequisite: EE 311.

EE 404: Solid State Devices

3.00 Credits

Electronic properties of materials including conductivity, dielectric and magnetic permitivity. Semiconductor theory with emphasis on junction devices. Introduction to semiconductor lasers. Prerequisite: EE 342.

EE 406: Advance Digital Logic Design

3.00 Credits

no description available

EE 412: Microprocessor Programming & Design

3.00 Credits

This course presents the fundamentals of microprocessor architecture and interfacing. Topics include instruction set architecture, assembly language, debugging and IO device interfacing techniques. The PIC processor architecture will be studied, utilizing windows based integrated development environment and tools suite. A PIC hardware evaluation board is used as the basis for interfacing experiments. Software will be written in assembly language. The Pentium processor architecture and the PCI bus will be studied. A hardware/software project will be assigned toward the end of the course. The course is 50% lab and 50% lecture. Prerequisites: EE 326 Switching Circuits and Logic Design

EE 413: Communication Systems and Networks

3.00 Credits

(3) Lecture. This course deals with fundamental concepts of communication systems and networks. More specifically it covers the following topics: Concept of signals in the time and frequency domains. Digital communication Systems: Pulse Code Modulation (PCM), delta modulation and differential PCM, multiplexing and wave shaping. Modulation techniques: analog AM, FM, and PM schemes. Digital modulation schemes: On-Off Keying, Frequency Shift Keying and Phase Shift Keying, Optical Modulation Schemes. Computer communication networks: Local Area Networks , Performance of communication systems and networks: Noise considerations. Probability of Error, delay and throughput Concepts. Prerequisite: EE 311 or equivalent.

EE 415: Control Systems Analysis and Synthesis

3.00 Credits

Mathematical modelling of linear systems, state-variable, time-domain, and frequency-domain analysis of control systems. Root locus, Bode diagram, and Nyquist criterion. Stability and Routh Hurwitz method. Computer control system analysis and design. Z-transform and Z-transfer function. Prerequisites: EE 311, ENGR 322.

EE 422: Mixed Signal VLSI Design

3.00 Credits

Design of very large scale electronic circuits, including layout, circuit analysis and component selection, extensive use of SPICE and circuit layout CAD tools. Following current industry paradigms, the class emulates a design house, where chips are completely designed and thoroughly simulated prior to their fabrication in a foundry. Pre-Requisite EE322

EE 457: Communications Laboratory

1.00 Credits

A correlated sequence of laboratory experiments designed to illustrate the theory of senior level communication courses including sampling and ananog to digital conversion, analog and digital amplitude, frequency and phase modulation and demodulation schemes, analog and digital fiber optic likn design and architectures and protocols of local area networks. Prerequisite: ENGR 357 Co-requisite: EE 413

EE 459: Introduction to Wind Energy Technology

3.00 Credits

This course will take an interdisciplinary approach to understanding wind power, focusing first on the evolution of the technology and reviewing basic technical principles associated with wind turbines and their operation. There will also be an explanation of the electric industry context within which wind technology must operate and the challenges associated with integrating a variable resource such as wind into the utility industry¿s resource mix. The course will review the impacts and effectiveness of renewable energy policy in the U.S. over the past few decades, and will explore the economics of wind as well as the basics of the industry¿s structure and operations. Finally, the course will explore the potential for wind power in the U.S., as well as the barriers or constraints to achieving that potential. Prereqs: PHYS 215 (Physics I) or equivalent MATH 121 (Calculus I) or equivalent

EE 460: Photovoltaics

3.00 Credits

EE 358: Introduction to Photovoltaics This course covers a variety of topics related to solar photovoltaic devices, solar panels, and the generation of electrical energy form light. The course will concentrate on traditional silicon-based solar panels, with some discussion late in the semester about newer, more efficient types of solar cells. The course also covers some of the electrical and electronic hardware commonly included in photovoltaic systems, such as charge controllers, batteries, and inverters. Specific topics covered include: ¿ The Physics of Light o Waves and photons o The EM spectrum o Solar radiation ¿ Semiconductors o Band theory and doping o The p-n junction o Absorption and recombination ¿ Solar Cell Response o Spectral response o Temperature response o Efficiency ¿ Module Design o Cell interconnection o Cell Circuitry ¿ Power Storage and Distribution o Charge controller circuits o Batteries o Inverters o Metering schemes ¿ Advances in PV o ¿Exotic¿ Solar Cells o Solar concentration o Multi-junction cells o Organic cells Prerequistes: PHYS 215 (Physics I) or equivalent MATH 121 (Calculus I) or equivalent

EE 461: Photovoltaics Laboratory

1.00 Credits

This course is intended to provide hand-on experience with photovoltaics. Students will design and construct circuits and hardware for converting solar energy into electricity, including: solar cells, solar panels, solar trackers, solar concentrators, conversion circuits and battery charging circuits. This course is intended to be co-requisite with EE 358 (Applications of Photovoltaics). Prerequisites PHYS 215 (or equivalent) MATH 121 (or equivalent) Corequisites EE358 Intro. to Photovoltaics Suggested Textbook None Suggested Topics Light Measurements: Powermeters and Spectrometers IV Characteristics of Solar Cell: Parallel vs. Series Shading Effects Charge Circuits and Batteries Load Matching and Power Measurements Solar Trackers Inverters and Grid Connections

EE 491: Engineering Practice and Design I

2.00 Credits

Two-semester sequence teaches the tools of the engineering profession, including project organization, application of engineering design standards, technical writing, and effective presentation. First semester: researching the problem, learning design fundamentals and procedures, and refining written and oral communication skills. Second semester: implementation and detailed investigation of engineering design and tradeoffs. Prerequisite: Senior engineering status.

EE 492: Engineering Practice and Design II

3.00 Credits

Two-semester sequence teaches the tools of the engineering profession, including project organization, application of engineering design standards, technical writing, and effective presentation. First semester: researching the problem, learning design fundamentals and procedures, and refining written and oral communication skills. Second semester: implementation and detailed investigation of engineering design and tradeoffs. Prerequisite: Senior engineering status. Prerequisite: EE491

EE 502: Optical Systems and Devices

3.00 Credits

In recent years, photonics has found increasing applications in areas such as communications, image processing, sensing and displays. The objective of this course is to provide a thorough survey of this rapidly expanding and important area of electrical engineering. This course will cover the primary theories of light including ray, wave, electromagnetic and photon optics, as well as the interaction of light with matter, and the theory of semiconducting materials and their optical properties. Practical applications of photonics such as imaging systems, holography, fiber optics, laser and detectors will be covered.

EE 504: Introduction to Fourier Optics

3.00 Credits

Students will be introduced to the principles of linear systems and Fourier theory applied to the analysis of optical propagation, diffraction, coherent and incoherent image formation. Topics will include two-dimensional signals and systems, diffraction theory, and the simplifying approximations to diffraction in the Fresnel and Fraunhofer regimes. Transforming properties of lenses will be studied along with the concepts of spatial filtering and aperture coding in image formation. Prerequisites: EE342

EE 512: Microprocessors Programming and Design

3.00 Credits

Provides an introduction to microprocessors including hardware and software. Topics include microcomputer structure and programming, system hardware and interfacing. Laboratories include microprocessor programming, hardware interfacing, hardware/software interfacing, and student-generated interfacing and control project. Prerequisite: CSC 203 or permission of instructor.

EE 514: Introduction to Hardware Accelerated Computing

3.00 Credits

The past few years the High Performance Computing (HPC) community has witnessed a surge in the use of hardware acceleration, such as graphics processor units (GPU), field programmable gate arrays (FPGA), digital signal processors (DSP), cell processors, etc. This coincides at a time when conventional microprocessors are unable to keep up with Moore¿s Law, and become costly due to their increasing power requirements. This course is an introduction to hardware accelerated computational techniques and provides an introduction to FPGA and GPU-programming. Students are expected to have a strong understanding of programming in C, C++ or equivalent programming language. This course will enable students develop a solid understanding of the interaction between software and hardware, and gain hand-on experience in high performance computing. Prerequisite: CSC 113, Math 221

EE 515: Digital Signal Processing

3.00 Credits

Properties of signals and systems, sampling, acquisition, Z-transform theory, spectral analysis in Z domain Infinite Impulse Response (IIR) and Finite Impulse Response Filters (FIR) filters, the Discrete Fourier Transform (DFT) and the Fast Fourier Transform (FFT). Prerequisite: EE 311 or equivalent.

EE 519: Digital System Design

3.00 Credits

Comprises both lectures and labs, introduces the most important aspects of real-world digital design. Emphasis on practical, hands-on experience in building a system of medium complexity. Design synthesis highlights modern ASIC devices. Prerequisite: EE 326. Staff.

EE 522: Linear System Analysis

3.00 Credits

Basic concepts in linear systems; linear spaces and linear operators; state variable approach; observability and controllability of continuous systems; stability of linear systems; design of state feedback, state estimators, and compensators. Analysis and design of composite systems.

EE 531: Data Communications Networks

3.00 Credits

This course deals with basic principles of networking. More specifically it covers the following topics: Network Architectures and Protocols. OSI model and TCP/IP protocol suite. Transmission media. Protocols at the physical, data link, network and transport layers. Multiplexing, error and congestion control. Circuit and packet switching. Local and metropolitan area networks. ATM and frame relay. Network security and distributed applications. Prerequisite: EE 413 or equivalent.

EE 534: Communication and Computer Network Simulation

3.00 Credits

Deals with simulation modeling and performance evaluation of communication networks. Presents simulation of network elements and overall networks. Simulated network elements include point-to-point, multicast and broadcast links, satellite and radio links, queueing systems, and circuit and packet switches. Simulated overall networks include Local Area Networks (LAN), packet switched (X.25) networks, and Asynchronous Transfer Mode (ATM) based Broadband Integrated Services Digital Networks (BISDN), mobile radio and packet video networks. Development of simulation models for audio and video traffic sources and flow and congestion control algorithms. Discussion of methods of presentation, analysis, and interpretation of simulation outputs. Course will use OPNET software packages to provide hands-on experience. Prerequisite: EE 413 or permission of instructor.

EE 540: Introduction to Antenna Systems

3.00 Credits

EE540 - Introduction to Antenna Systems - A review of Electromagnetics is given with an emphasis on concepts needed for antenna theory (i.e., Vector Potentials, Free Space Green's functions, etc.) Basic concepts such as directivity, gain, bandwidth, beamwidth, polarization, and aperture size are defined and discussed. Antennas are presented from a circuit theory perspective. Case studies of dipole and loop antennas are developed to illustrate the analytical techniques. Radiation from apertures is also presented. Antenna arrays are treated and basic concepts such as scanning, amplitude distributions, grating lobes, and beam squint are introduced. The uniform and binomial distributions are treated in depth. The course concludes with a discussion of measurement techniques. Prerequisite: EE342

EE 541: Electromagnetic Theory

3.00 Credits

Theory of electromagnetic field equations and their application to wave propagation in waveguides and resonant structures. Discussion includes partially filled waveguides, corregated guide, and other structures. Prerequisite: EE 342 or equivalent.

EE 542: Antennas and Propagation for Wireless Communications

3.00 Credits

This course addresses issues related to wireless communications from a perspective of antennas and propagation. The electromagnetic theory and communications components of wireless communication systems are linked together for analyzing and designing such systems. The important role of antennas in setting up cellular communication systems is studied and critical propagation issues in the design of such systems are presented. Topics that will be discussed in the course include cellular communications history and principles, basic concepts in electromagnetic wave theory, reflection, transmission and polarization, antennas and radiation, Fresnel Theory, line-of-sight, models for radio propagation, flat earth, terrain roughness, diffraction theory, propagation in presence of buildings, fading, diversity, link budgets, system design issues. Prerequisite: EE 342.

EE 543: Remote Sensing

3.00 Credits

This course addresses the theory and principles of passive and active remote sensing at different frequencies. The course emphasis is on electromagnetic phenomena rather than image processing techniques for the remotely captured data. Topics include wave propagation and scattering from targets and natural surfaces, basic antenna systems, radiometry and the radar equation. Effects of different media and boundaries such as rough surfaces on wave characteristics (e.g. dispersion, reflection, refraction, attenuation) are discussed. Prerequisite: EE342

EE 544: Introduction to Bioelectromagnetics

3.00 Credits

This course covers basic concepts, fundamental principles, and characteristic behaviors of electric and magnetic fields and how they relate to biology and health sciences. The students will gain an understanding of how some of the tools (e.g. MRI, ultrasound) used in health sciences work. Electromagnetic propagation and the interactions of electromagnetic waves with tissue will also be discussed. The course will facilitate students with different backgrounds to study basic concepts of electromagnetic fields as it relates to life and health sciences. Prerequisite: Calculus and Algebra

EE 545: High Resolution Radar Signal Processing

3.00 Credits

no description available

EE 546: Electrical Properties of Materials

3.00 Credits

Introduction to lasers, including interaction of radiation and atomic systems, resonators, oscillation criteria. Discusses specific systems of gas, solid, and semiconductor type. Brief discussion of topics. Electro-optics, modulation, and detection. Prerequisite: EE 441 or equivalent.

EE 548: Optical Signal and Image Processing

3.00 Credits

Fundamentals of waves, wave interference, multiple beam interference, Fraunhofer and Fresnel diffraction and transverse waves. Fourier transform techniques are used to describe light propagation through homogeneous media (lenses, gratings, holograms). Topics: scalar diffraction theory, the lens as a Fourier transforming element, coherent and incoherent imaging and holography.

EE 550: Semiconductor Optoelectronics - Materials and Devices

3.00 Credits

This course will cover light generation, modulation and detection technologies. Main emphasis will be on semiconductor optoelectronic materials and devices. Basic principles of operation of lasers and detectors will be discussed. Polarization and absorption modulation of light based on ferroelectric and semiconductors materials will be described. A brief summary of potential applications to communications and sensing systems will be included.

EE 561: Random Signal Theory

3.00 Credits

Mathematical techniques for analysis and measurement of random signals and processes needed as a foundation for work in radar/sonar, communication theory, or detection, and estimation. Probability; random variables; correlation functions and power spectra stationarity, ergodicity; linear and nonlinear systems with random inputs. Prerequisite: ENGR 309.

EE 563: Fundamentals of Acoustics

3.00 Credits

no description available

EE 572: Basics of Information Coding and Transmission

3.00 Credits

Introduces the basic notions of quantifying information content using entropy, and establishes lower bounds on file sizes for data compression. Covers commonly used compression methods (Huffman, Lempel-Ziv, etc). Introduces the notion of channel capacity for storage and transmission, and provides an introduction to error correction coding and its role in reliable transmission and storage over error-prone channels

EE 576: Introduction to Robotics

3.00 Credits

Covers basic concepts in robotics such as robot arm kinematics, robot arm dynamics, trajectory planning, and control. Transformation between joint space and Cartesian space. Coordinate frames and homogeneous coordinate transformation. Solution of inverse kinematic problem and robot workspace. Differential motion and manipulator Jacobian matrix. Introduction to the control problem of robot manipulators. Prerequisite: Senior Engineering or Graduate Students

EE 617: Adaptive Signal Processing

3.00 Credits

Theory of adaptive signal processing, including the Stochastic Wiener Filter and Deterministic Least Squares, the Widrow LMS Algorithm and its properties, linear prediction, and filter structures (e.g., lattice-ladder filter) which implement adaptive filters. Applications discussed include Adaptive Beamforming, Line Enhancing, Noise Cancelling, Echo Cancellation, and System Identification. Prerequisite: EE 561 or equivalent.

EE 618: Optimum Signal Processing

3.00 Credits

Review of random signal analysis and how it applies to optimum signal processing methods, spectral factorization, Wiener filter theory, signal modeling and linear prediction, and Levinson's algorithm. Applications include parameter estimation, spectrum estimation, and super-resolution array processing. Prerequisite: EE561 or equivalent.

EE 621: Fundamentals of Kalman Filtering and Smoothing

3.00 Credits

Lecture covers the basic problem of state estimation (prediction, Kalman filtering, smoothing), the steady-state Kalman filtering to the linearized variable model, and the state estimation for the ¿not-so-basic¿ state estimation. The state estimation also discussed for the nonlinear model. Computer projects. Prerequisite: EE561.

EE 625: System Optimization

3.00 Credits

Calculus of extrema. Variational calculus and continuous optimal control. The maximum principle and Hamilton-Jacobi theory. The linear regulator. The linear servomechanism. Euler-Lagrange equations. Discrete optimal control and mathematical programming. Optimal state estimation. The linear quadratic Gaussian problem. Prerequisite: EE 522.

EE 627: Neural Networks and Bioinformatics

3.00 Credits

Introduces basic concepts of neural networks using the general framework of parallel distributed processing. Deals with architecture, principles of operation, training algorithms and applications of a number of neural networks. Emphasizes designing networks from first principles to solve engineering problems. Application of neural networks to several engineering problems, including pattern classification, data and image compression, robotics, target tracking, and signal processing.

EE 628: Computational and Molecular Imaging

3.00 Credits

This course is designed to provide students with a comprehensive foundation of computational and molecular imaging and applications, recognizing the cross-disciplinary nature of the subject. It should be an informative exploration of tomographic imaging, image computation, and molecular charcaterization, with an emphasis on the strategic frontier between informatics and biomedicine.

EE 631: Broadband Integrated Services Digital Networks

3.00 Credits

Broadband services and principles of BISDN. BISDN architecture and protocol reference model. Functions of the BISDN layers: ATM and ATM Adaptation layers, physical layer for BISDN (cell based, SONET/SDH, FDDI and DWDM based). ATM switching. User-Network Interface specifications: physical and ATM layers specifications and Signaling for point-to-point, point-to multipoint and multipoint-to-multipoint connections. Congestion control, analytical and simulation modeling and performance evaluation. ATM switching, Wireless ATM. Applications: circuit and LAN Emulation, IP, Multiprotocal and MPLS over ATM. Prerequisite: EE 531 or equivalent

EE 634: Digital Image Processing

3.00 Credits

This course deals with the fundamentals of the major topics of digital image processing. The topics used in the course include the two-dimensional systems and mathematical preliminaries, image sampling and quantization, image transforms, stochastic models, image enhancement, filtering, restoration, reconstruction, and compression. This course is accompanied with computer projects. Prerequisite: Random Signal Theory, EE 561 or equivalent.

EE 642: Electo-Optics and Photonics

3.00 Credits

Introduces electro-optics, acousto-optics, magneto optics, and photonic switching. Covers the bulk electro-optic effect, with discussion of switching, phase and amplitude modulation, optical isolation and beam deflection applications. The Faraday effect and Faraday isolators, waveguide electro-optic effects, with application to switching, modulation, and computer logic circuits; the acousto optic effect, with application to switching, frequency modulation, beam deflection, and optical filtering; and principles of photonic switching. Prerequisite: Undergraduate electromagnetism.

EE 643: Photonic Communication Network Devises

3.00 Credits

Introduces the principles of operation for photonic communication devices. These include optical fibers, couplers, splitters, taps, isolators, circulators, attenuators, tunable filters, laser diodes, modulators/demodulators, photodetectors, lightwave amplifiers, wavelength converters/routers, wavelength division multiplexers/demultiplexers, optical add/drop multiplexers, optical switches, optical packet switches.

EE 644: Optical Communications

3.00 Credits

Introduction to Optical Communications. Optical sources and transmitters: Light Emitting Diodes (LED), Laser Diodes and modulation techniques. Optical fibers: waveguiding and signal degradations. Photodetectors: P-I-N and Avalanche Photodiodes. Optical receivers: Direct detection and coherent detection receivers. Optical components: connectors, splices, couplers, switches and wavelength division multiplexers. Transmission link design. Advanced systems. Prerequisite: EE 413 or equivalent.

EE 645: Optical Communication Networks

3.00 Credits

This course deals with building blocks, architectures, principle of operation and protocols of single and multiwavelength optical communication networks. More specifically, the following topics are to be covered: Principles of optical networks. Network resources: Network links, optical network nodes, network access stations, overlay processors, logical network processors and logical network overlays. Enabling technologies. Single wavelength networks: FDDI and SONET/SDH networks. Multiwavelength (DWDM) networks: Static networks, Wavelength routed networks, Linear lightwave networks, Logically routed networks. Survivability: protection and restoration. Management and control. A pplications: IP, ATM, and SONET over Optical Transport Networks. Prerequisites:

EE 646: Optical Internet

3.00 Credits

This course deals with the architecture and protocol stacks for transmission of TCP/IP over Optical Transport Networks (OTN). The protocols involved are: TCP/IP, Mult-protocol Label switching (MPLS) , Asynchronous Transfer Mode (ATM ), Point-to-point (PPP), HDLC, Frame Relay, Gigabit Ethernet, Synchronous Optical Network (SONET) and Optical Transport Network. Relevant functionalities and interaction among these protocol layers to the operation of optical internet are presented. Optimal architecture and protocol layers needed for optical internet is developed. The Integrated, Overlay and augmented architectures for TCP/IP/MPLS over OTN are presented. Technologies needed for implementation of an all-optical transport network is presented. Management and control of such networks are to be discussed. Survivability and availability models are presented. Effect of the reconfiguration time of OTN on the performance of optical internet is presented.

EE 647: Intelligent Broadband Multimedia Networks

3.00 Credits

This course deals with building blocks, architectures, examples and applications of intelligent broadband multimedia networks. Topics to be presented are: Basic intelligent network concepts, examples of types of intelligent networks, Global, advanced and future intelligent networks, Architecture of knowledge machines and knowledge Processing systems. Examples of intelligent networks: Network based educational systems, Integrated medical systems and PC based intelligent home networks. Social and cultural impact of intelligent broadband multimedia networks.

EE 652: Wireless Communications

3.00 Credits

Intended to give an introduction to wireless communications engineering. Includes characterization of the radio enviroment; link and system performances and the cellular concept. Study of the effect of the enviroment on the mobile systems and methods of mitigating degrading effects. Analysis of state-of-the-art wireless communication technologies and systems. Prerequisite: Permission of instructor.

EE 656: Digital Communications

3.00 Credits

Fundamentals of digital data transmission. Performance analysis of basic digital modulation techniques. Detection of binary signals in AWGN. The matched filter and general formula for probability of error. BPSK, ASK, FSK modulations. Quadrature-multiplexed signaling schemes. Power spectra and probability of error of QPSK, OQPSK, MSK. Noncoherent digital modulation methods; FSK, DPSK. Signaling through band-limited channels. Designing for zero ISI: Nyquist's pulse-shaping criterion. Optimum transmitting and receiving filters. Duobinary signaling. Equalization in digital data transmission systems. Fundamentals of spread spectrum systems. Computer projects. Prerequisite: EE 561 or equivalent.

EE 657: Spread Spectrum Communications

3.00 Credits

Studies the foundations of Spread Spectrum Communications. Includes basic types of spread-spectrum modulation, generation of pseudo-noise sequences for the modulation/demodulation process, and synchronization between the transmitter and receiver. Investigates performance of spread spectrum systems in a noise or jamming environment. Considers application of spread spectrum communications to a common communication system including digital cellular telephones. Prerequisite: EE 656 or equivalent.

EE 659: Satellite Communications

3.00 Credits

This course deals with subsystems, operations and applications of satellite communication systems. Topics to be included are: Spacecraft subsystems: Telemetry,Tracking and Command subsystem, Communication subsystem, and Antennas. Satelite link design: uplink and downlink, effect of propagation impairments, examples.Efficient modulation and multiplexing techniques. Multiple access techniques: FDM/FM/FDMA, TDMA, CDMA and DAMA. Encoding for forward error correction: Linear block codes, Binary cyclic codes and convolutional codes. VSATs. Applications: satellite television, ATM over satellite. Prerequisite: EE 413 or equivalent.

EE 671: Statistical Signal Processing

3.00 Credits

Provides a rigorous foundation in detection and estimation theory. Binary hypothesis tests. Receiver Operating Characteristic (ROC). M hypotheses. Bayes estimation. Multiple parameter estimation. Maximum likelihood estimation. Composite hypotheses. Representation of random processes. Karhunen-Loeve transformation. Detection and estimation of signals. Computer projects. Prerequisite: EE 561.

EE 672: Error Control Coding

3.00 Credits

Introduction to Galois fields; linear codes and cyclic codes; BCH codes and their decoding procedures. An introduction to convolutional codes and decoding procedures. Practical applications of block codes and convolutional codes. Prerequisite: EE 561.

EE 696: Independent Study

3.00 Credits

no description available

EE 710: Wavelet Theory and Applications

3.00 Credits

Introduces the basic concepts of time-scale processing as provided through wavelet analysis. Focuses on both the development and construction of orthogonal and biothogonal wavelet filters for time-scale processing as well as issues related to their implementation. Compares wavelet analysis and standard Fourier techniques. Engineering applications include image processing, fractal waveform analysis, sonar processing, and noise reduction techniques. Includes computer simulation projects. Prerequisite: Permission of instructor.

EE 712: Communication Theory

3.00 Credits

Optimum receiver design; theory and implementation. Analysis of waveform communication problems in terms of its vector equivalent. Signal set notation and analysis. Fundamental concepts involving the theoretical limits of communication system performance. Analysis of time, bandwidth, and dimensionality parameters. Channel capacity and reliability functions. Effect of quantization on communication system performance. Rudimentary concepts of information and its measure. Non-AWGN channel models. Prerequisite: EE 561 or equivalent.

EE 717: Advances in Adaptive Signal Processing

3.00 Credits

More recent advances in adaptive signal processing are explored, including higher-order statistic methods, nonlinear filter structures including Volterra and Bussgang filters, infinite impulse response (IIR) adaptive filters, and applications to medical imaging, wireless communications, and data analysis and forensics. The course will be project oriented, with students researching recent literature on a particular theme and developing adaptive signal processing algorithms tailored to the specific theme.

EE 725: Information Theory and Source Coding

3.00 Credits

Introduction to information theory from a communication system viewpoint. Source and channel encoding. Information measures for both continuous and discrete sources. The source coding theorem and channel coding systems developed. Practical methods of source and channel coding investigated. Prerequisite: EE 561.

EE 731: Computer Communication Networks

3.00 Credits

This course deals with analytical modeling and design of computer communication networks. Topics to be covered are: Delay models: Queueing models: Little's formula, M/M/1, M/M/m, M/M/?, M/M/m/K and M/G/1, MMPP, Fluid flow and fractal models and Network of Queues. Graph Theoretical models and routing algorithms:Bellman-Ford, Dijkstra"s and Floyd-Warshall algorithms. Multiaccess Communications: The ALOHA system, carrier sense, reservation, polling and splitting algorithms. Flow control: Window flow control, and rate control schemes, delay and loss analysis of audio and video multiplexers. Call admission control. Prerequisite: EE 531 or equivalent.

EE 740: Numerical Methods in Electromagnetics

3.00 Credits

Investigates modern techniques in computational electromagnetics. Emphasis on applying computational methods to practical applications such as microwave circuit analysis, scattering, radiation, and optics problems. Prerequisite: EE541

EE 741: Advanced Electromagnetic Scattering Phenomena

3.00 Credits

This course develops the foundations for advanced electromagnetic scattering phenomena and solves canonical scattering problems. Specific topics include surface waves, dielectric & magnetic materials, integral equations, physical optics, and measurement techniques. At times, the course will rely on numerical and experimental demonstrations of complex phenomena. Prerequisite: EE541

EE 746: Electromagnetic Radiation and Scattering

3.00 Credits

Provides an introduction to advanced electromagnetic theory with emphasis on radiation and scattering theory. Field equations derived for radiation and scattering problems and applied to simple antennas and bodies. Geometrical optics and geometrical theory of diffraction are presented for antenna problems, edge diffraction, and scattering from simple conducting bodies. Prerequisite: EE 541 or equivalent.

EE 771: Detection and Estimation Theory

3.00 Credits

Estimation of continuous waveforms. No-memory modulation system and modulation systems with memory. Multidimensional waveform estimation. Estimation of signals in colored noise. Linear estimation. Wiener and Kalman filters. Computer projects. Prerequisite: EE 671

EE 791: Directed Research

3.00 Credits

Allows a graduate student to individually propose, design, implement and document a research project under the guidance of a faculty member. The research project should allow the student to study to a greater extent than would be possible in a classroom setting. Permission by a major professor.

EE 792: Directed Research

3.00 Credits

Allows a graduate student to individually propose, design, empliment and document a research project under the guidance of a faculty member. The research project should allow the student to study a topic to a greater extent than would be possible in a classroom setting. Permission by major professor.

EE 995: Master's Thesis

0.00 Credits

Thesis Guidance

EE 996: Master's Thesis

0.00 Credits

Thesis Guidance

EE 997: Doctoral Dissertation

0.00 Credits

Dissertation Guidance (0)

EE 998: Doctoral Dissertation

0.00 Credits

Dissertation Guidance