Steady state modeling and simulation techniques. Large-scale power systems. Sparsity programming, Short-circuit and load-flow studies. Introduction to transient stability. Introduction to state estimation. Prerequisite : Graduate Standing
Dynamic model of synchronous machines. Excitation and governor systems. Nonlinear and linear modeling of single machine infinite bus systems. Stability analysis and control design. Direct method of stability determination. Multimachine system modeling. Power system dynamic equivalents. Prerequisite: EE 520 or equivalent
Pre-Requisites: EE520 Or EE520
Steady-state and dynamic analysis of electrical machines: direct and quadrature axis transformation. Linear and nonlinear state space representation. Regulation and control devices. Simulation of electromechanical subsystems. Prerequisite : Graduate Standing
Mathematical methods and modern approaches to power system planning. Demand forecasting. Generation system planning: deterministic and probabilistic methods. Transmission system planning: heuristic and stochastic methods. Optimization methods for transmission planning. Route selection: environmental and other considerations.
Introduction to power system transients. Transmission lines/cable parameters, Propagation on loss-free lines, effects of termination and junctions. Transform methods of solution of T.L. Laplace fansform and Fourier transform. Transients on T.L., potential and cunent distribution: standing waves. Traveling wave method: Lattice and graphical methods. Lighting and switching applications. Voltage limitation on power-handling capacity and T.L. effects. Transmission system protection. Prer egui site : Graduate standing
Fundamentals of the sustainable energJ sources. Solar energy, wind energy, fuel cell, integration of the renewable energy sources, renewable energy sources control, and impact of the renewable energy sources on power system operation, power flow control, and power system stability. This course will also discuss the various sustainable energy technologies.
Distribution system reliability: the system average intemrption duration index (SAIDI) and the system average intemrption frequency index (SAIFI). Concept and characteristics of the reliability and availability of the power distribution systems. Analytical and simulation techniques. Assessment of reliability of the basic and networked power distribution systems. Integration of both the conventional and renewable distributed generation into the reliability models.
Review of power semiconductor devices: thyristors, GTO, power transistor, and MOSFET. Converter analysis, design, modeling, and control of switching converters will be presented as relevant to different applications. Practical design issues such as snubbers, gate drives and thermal design. Web content, computer analysis, and simulation tools such as Matlab and Pspice will be emphasized.
Review of Maxwell's equations, Constitutive Relations, Boundary Conditions, Power and Energy, Time Harmonic Fields, Electrical Properties of Matters, Wave Equation and its Solutions, Wave Propagation and Polarization, Electromagnetic Waves in Lossless, Lossy and Good Conductors Medi4 Waves at Plane Boundaries: Reflection and Transmission, Normal and Oblique Incidences, Single and Multilayers, Guided Waves Principles, Dielectric Waveguide Propagation, Rectangular Cross-Section Waveguides, Applications P r er equi site : Graduate Standing
Analytical solution of the wave equation in Cartesian, cylindrical and spherical coordinate systems. Applications to common boundary value problems (guidance, resonance, scattering and radiation). Perturbational and variational techniques. Numerical formulation and solution of selected boundary value problems. Prerequisite: EE 530
Pre-Requisites: EE530 Or EE530
Properties and characteristics of antennas. Polynomial representation of linear arrays. Pattern synthesis. Chebyshev array distributions. Thin linear antennas. Microstrip radiators and arrays. Hugen's principle. Radiation from apertures. Reflector type antennas. Frequency independent antennas. Reciprocity theorem and receiving antennas. Radar antennas. Antenna measurements. Prerequisite: EE 340 or equivalent
Overview of microwave circuits technologies (MIC, MHMIC, MMIC). Modulation, transmitters and receivers. Antenna, RF link, and RF systems. Transmission line structures. Analysis of microstrip lines. Microwave network analysis. Passive components (termination and affenuators, hybrids, combiners, splitters, couplers, filters, ...). Active components (small-signal amplifiers, power amplifiers, oscillators, mixers, diodes, ...). TR modules. Modern microwave measurements (S-parameters, spectrum analysis, power meters, load-pull, vector signal analysis).
Optical fibers, ray theory, step-index and graded-index fibers, attenuation, dispersion, numerical aperture, fiber splicing and OTDR. Light sources and optical detectors. Optical devices and components: amplifiers, modulators, splitters, switches, filters, isolators. Introduction to optical communication system and networks: TDM and DWDM systems, access networks, PONs and xPONs, link budgeting. Simulation of optical systems. Free-space optical communication (FSO) and visible light communication (VLC): Channel modeling, modulation, transmission schemes, and standards.
Ray and matrix optics; monochromatic waves, interference, Gaussian beam transmission, optical Fourier transform, diffraction, imaging, theory of light in dielectrics, absorption and dispersion, polarization, reflection and refraction, statistical properties of light, coherence, photons, light-matter interaction. Optical components: mirrors, prisms, lens, diffraction gratings, beam splitters, interferometers, polarization devices. Introduction to light emission, detection, and photonics systems. Advanced contemporary topics in photonics. Consent of Instructor, Graduate Standing
Conventional and non-conventional number systems and their applications. Hardware organization of digital systems. Arithmetic and logic units: high-speed addition, multiplication and division algorithms and implementation. Use of a Hardware Description Language (Verilog-HDl) to design complete digital systems and FPGA implementation. Transistor Level desigrr of basic digital systems. Introduction to High Speed Digital Design and Signallntegrity. Prerequisite: Graduate Standing (Equivalentto COd SOt;
Review of device-level models. Basic equations and higher-order effects. Basic building blocks of bipolar, MOS and CMOS analog circuits: current mirrors, differential pairs, level-shift stages, gain stages, references and Op-Amp circuits. The translinear principle and applications. Typical examples of IC amplifier design. Prerequisite: EE 303 or equivalent
Architecturaltechniques for advanced and high performance microprocessors including CPU architecture, pipelining, in-order and out-of-order superscalar architecture, memory hierarchy, and VLIW machines. Power management. Advanced I/O systems. Parallel architectures. Fundamentals of multiprocessors: multithreading and multi-core. System performance tradeoffs and optimization techniques. Prerequisite:EE 541 (Equivalent to COE 501)
Pre-Requisites: (EE541 Or EE541)
Microprocessors, Microcontrollers and DSP hardware and software architectures. Advanced programming and interrupts. Interface to real-time systems. Applications and case studies including projects. Prerequisite: EE 541
Pre-Requisites: EE541 Or EE541
Small-signal equivalent circuits and noise models of active devices. Design and analysis of linear wide-band low-noise feedback amplifiers. High frequency design using operational amplifiers and operational transconductance amplifiers. Application of specialized electronic systems in analog signal processors. Introduction to emerging technologies and advanced topics from recent literature. Prerequiste: EE 303 or equvivalent.
Electronic states in semiconductors. Carrier transport models and current equations. Analysis of pn junctions, bipolar and FET transistors. Introduction to microwave devices and semiconductor optoelectronics. Prerequisite: EE 403 or equivalent
State space representation of systems. Theory of multivariable systems. Jordan canonical forms. Transformation matrices. Realization theory. Controllability and observability. Stability. State estimators. Output and state feedback. Compensation. Decoupling and model matching. Introduction to optimal control. Prerequisite: EE 380 or equivalent (crosslisted with SE 507).
Introduction to dynamic systems, models, and identification process. Models of linear time-invariant systems. Models of time-varying and nonlinear systems. Parametric estimation methods. Convergence and consistency of solutions. Asymptotic distribution. Recursive and non-recursive computation methods. Model selection and validation. Prerequisite: EE 380 or equivalent
Nonlinear optimal control of continuous-time systems. Minimum time and constrained input problems. Linear quadratic regulator. Optimal output-feedback. Optimal state estimation. Linear quadratic Gaussian design. Case studies. Prerequisite: EE 550 or equivalent (crosslisted with SE 514)
Pre-Requisites: (EE550 Or SCE507)
Digital controller design. Pole-assignment design and state-estimation. Linear quadratic optimal control. Sampled-data transformation of Analog filters. Digital filter structures. Microcomputer implementation of digital filters. Prerequisite: EE 432 or equivalent
Introduction, background and biological inspiration. Survey of fundamentals methods of artificial neural networks: single and multi-layer networks; Perceptions and back propagation. Associative memory and statistical networks. Supervised and unsupervised learning. Merits and limitations of neural networks. Applications. Prerequisite: Consent of the Instructor (crosslisted with SE 507 and COE 591)
Intelligent control strategies: Expert systems, Fuzzy logic control, Neural net-works. Optimization control techniques: genetic algorithms, simulated annealing, tabu search. Hybrid systems. Applications. Prerequisite: Graduate standing (Equivalent to SCE 562)
Classification of discrete-time sigrrals and systems. Basic and lattice structures, Finite-word length effects. Discrete Fourier Transform and its efficient implementations. Introduction to spectral analysis. FIR and IIR filter design techniques: Windowing techniques, Analog-to- Digital transformation techniques, Computer-aided design techniques. Prerequisite:Graduate standing @quivalent to SCE 534)
Speech analysis, Digital processing of wave forms, Wavelet transformation Waveform coding, Parametric coding of speech: linear predictive coding, Text-to- Speech synthesis, Recognition, Stochastic modeling of speech signals, Pattern recognition and its application to speech, Speech coding for Packet Networks, Echo removal. Prerequisite: EE 562 or equivalent (crosslisted with SE 524)
Pre-Requisites: (EE562 Or EE562)
Basic set theory and measure theory, probability spaces, joint probability, conditional probability, and independence. Random variables, distribution functions, and moments. Multiple random variables, convergence concepts, and mean square estimation. Stochastic processes, stationarity and ergodicity, second-order processes, and systems with random inputs. Markov processes
Review of probability and random processes. Space representation of signals. Optimal detection of sigrrals in Gaussian noise. Matched filter and correlator receivers. Band-pass modulation techniques. Error performance of binary and M-ary modulation techniques. Spectral density and autocorrelation of digital signals. Differential modulation and noncoherent receivers. Introduction to source coding, channel capacity and error control coding. Linear block codes and convolutional codes.
Review of probability and random processes. Space representation of signals. Optimal detection of signals in Gaussian noise. Matched filter and correlator receivers. Band-pass modulation techniques. Error performance of binary and M-ary modulation techniques. Differential modulation and non-coherent receivers. Introduction to source coding, channel capacity and block and convolutional error control coding.
Review of digital transmission over AWGN channels. Spectral analysis of digital signals. Digital, transmission over band-limited channels. Intersymbol lnterference. Signal design for band-limited channels. Channel equalization. Characterization of fading multipath channels. Performance of digital transmission over fading channels. Diversity techniques. Spread spectrum. Multi-user communication. Multi-channel and multicarrier systems, introduction to MIMO systems. Prereguisite: EE 571
Pre-Requisites: EE571 Or EE571
Binary and M-hypotheses Detection techniques: Maximum likelihood, Newman Pearson, Minimum probability of error, Maximum a posteriori probability, Bayes decision and minimax detection. Parameter estimation: weighted least squares, BLUE, Maximum likelihood, Mean square estimation. Signal estimation and filtering: Wiener filtering, Kalman filtering and estimation. Simultaneous detection and estimation. Application to system identification and communication systems. Prerequisite: EE 570
Pre-Requisites: EE570 Or EE570
Measures of information, entropy, sourc€ coding theorem, lossless data compression, Huffman codes and Lempel-Ziv codes, sources with memory, lossy data compression, rate distortion theory, mutual information, memoryless channels, channel capacity, channel coding theory, differential entropy, capacity of AWGN channels, multiple access channels if time permits.
Finite field arithmetic, Linear codes, Block codes, Cyclic codes, BCH and Reed-Solomon codes, Encoding and decoding methods, Performance analysis of block and cyclic codes, Convolutional codes, Trellis representation, The Viterbi algorithm, Performance analysis of convolutional codes, Coded modulation, Turbo codes. Prerequisite: EE 370 or equivalent, EE 315 or equivalent
The Cellular concept, Propagation modeling, Digital transmission techniques, multiple access techniques, Cellular frequency planning, Link control, Handoffs, Power control, Traffic capacity, Wireless networking, Privacy and security of wireless systems, Examples of current wireless systems standards. Prerequisite: EE 571
Pre-Requisites: EE571 Or EE572
Generation of pseudo-random signals and noise, Basic techniques for bit error rate estimation, Simulation of a binary system, Simulation of Intersymbol interference, Channel modeling, Signal-to-Noise Ratio estimation, Multi-rate simulation, Adaptive equalization and Coded systems simulation, Importance sampling. Prerequisite: EE 573
Pre-Requisites: EE573 Or EE573
Review of propagation models, modulation, and diversity for second-generation systems. Singleuser MIMO systems: channel models, capacity, and trans-receive schemes. Multiuser-user MIMO systems: trans-receive schemes. Multi-user scheduling and multi-user diversity. Introduction to cooperative communications and relaying. Introduction to 4G and 5G standards and simulators.
Pre-Requisites: EE577
Fundamentals of Sustainable and Renewable Energy Systems. Energy outlook and the environment. Global warming and fossil fuels. Solar energy systems. Wind energy systems. AC-DC converters. Batteries and charge controllers. Techno-economic analysis of sustainable and renewable energy systems.
Modeling of renewable sources. Characteristics of renewable generation. Power system analysis of bulk power grids with integrated renewable sources. Operational challenges with high renewable penetrations. Mathematical models of power system planning considering renewable resources. Uncertainties representation of renewable resources. The impact of inverter-based generation on bulk power system dynamics and shortcircuit performance. Integration impact of renewable power plants in the generation and transmission expansion planning.
Pre-Requisites: EE580
Photovoltaic system characteristics. Modelling and prediction of PV module energy yield. Building-integrated photovoltaics. Stand-alone photovoltaic systems. System design and operation of large-scale photovoltaic power plants. Environmental impact of PV systems.
Pre-Requisites: EE580
Fundamentals of Energy Storage Systems, Energy Storage Technologies (Batteries, Super Capacitors, Flywheels, Pumped Hydroelectric Storage), Modeling and Control of Battery Energy Storage Systems, Storage Sizing and Power Management, Optimal Operation and Performance Indices, Storage for Electric Vehicles and Applications of Energy Storage, Hydrogen Fundamentals (Production, Storage and Transportation), Fuel Cells, Renewable Energy and Hydrogen Storage, Applications and Future of Hydrogen Systems.
Frequency bands, carrier frequency and bandwidth relation, link budget, signal propagation, co-existence, noise vs interference. Terrestrial and satellite broadcast systems, sensing and environmental monitoring, the Internet of Things, connectivity and Internet access for remote and rural areas spectrum scarcity, spectrum licensing and monitoring, ISM band, ultra-wide band communications, frequency planning, national, regional, and international spectrum management authorities, global interoperability, standardization bodies, testing and certifications, wireless communications development. Cognitive spectrum access, interference management, mm-Wave, Teraheartz, visible light, and free space optics. Health hazards for exposure to radio frequency, guidelines and recommendations for safe exposure, power density, specific absorption rate. Response to emergencies, public safety, resilient communication services, search and rescue operations, response to epidemics, social distancing, infection tracking, and the Covid-19 case study.
Graduate students working towards either M.S. In Electrical Engineering, M.S. In Telecommunication Engineering, or Ph.D. degrees, are required to attend the seminars given by faculty, visiting scholars, and fellow graduate students. Additionally, each student must present at least one seminar on a timely research topic. Among other things, this course is designed to give the student an overview of research in the department, and a familiarity with the research methodology, journals and professional societies in his discipline. Graded on a Pass or Fail basis.
This course gives the students an opportunity to complete a project related to the Elecfical Engineering Program. Apply knowledge gained during the previous semesters and practice a variety of skills such as: researching for technical information, organization, planning, looking up sources, designing and testing, and delivering oral and written presentations. Graded on a Pass or Fail basis. Prerequisite: Open only to the Master of Engineering Students
This course is intended to allow the student to conduct research in advanced problems in his MS research area. The faculty offering the course should submit a research plan to be approved by the graduate program committee at the academic department. The student is expected to deliver a public seminar and a report on his research outcomes at the end of the course. Prerequisite: prior arrangement with an instructor
The contents of this course will be in one of the specialized areas of Electrical Engineering. The specific contents of the special topics of course will be given in detail at least one semester in advance of that in which it is offered. Prerequisite: Consent of the Instructor
The contents of this course will be in one of the specialized areas of Electrical Engineering. The specific contents of the special topics of course will be given in detail at least one semester in advance of that in which it is offered. Prerequisite : Consent of the Instructor
A graduate student will arrange with a faculty member to conduct an industrial research project related to Wireless Communications Networks. Subsequently the students shall acquire skills and gain experiences in developing and running actual industry-based project. This project culminates in the writing of a technical report, and an oral technical presentation in front of a board of professors and industry experts.
Breakdown in gases, solids and liquids. Analysis of high voltage transmission: switching and lighting surges. Insulation coordination in electrical power system. Basic impulse levels. System grounding and insulation designs. High voltage generation and measurement. Prerequisite: EE 464 or equivalent
Fundamentals of power system economics. Background concepts on optimization and power system operation are discussed. Then, the structure and operation of deregulated electricity markets taking into account the behavior ofthe physical system is discussed thoroughly.
Development of HVDC technolory Comparison between AC and DC transmission. Converter circuit configuration. Converter operation and analysis. Harmonics and filters. Ground retum. Integration of HVDC links into power systems. AC-DC load flow, short circuit and stability calculations. FACTS devices and system operation. Trends for HVDC applications: wind farm and IGBT technology.
Fundamentals of the smart grid, microgrids, and distributed generation (DG). Distribution system basics, DG integration, unbalanced power flow including DG, electricity markets, smart meters, electric vehicles and storage integration, reliability and self-healing of microgrids. This course will also discuss the various demand side management (DSM) programs and technologies. Prerequisite : Graduate standing
Fundamentals of power system protection concepts and applications. Analysis of symmetrical and unsymmetrical faults on power systems, Study of protective relaying for protection of power systems components against faults, Digital relays, and relay coordination and computer solutions are emphasized. Prerequisite : Graduate standing
The contents of this course will be in one of the areas of interest in power systems. The specific contents of the special topics course will be given in detail at least one semester in advance of that in which it is offered. Prerequisite : Consent of the Instructor.
Microwave signal sources. Waveguide components. Network analyzer measurement. Scattering parameters of microwave planar transistors. Doppler effect. Time domain reflectometry. Microwave links. Antenna impedance and pattern measurements. Microstrip transmission lines. Resonant cavities. Prerequisite: EE 405 or equivalent
Radiation condition and radar cross section. Cylindrical wave functions. Field of a line source. Plane wave and line field scattering by conducting circular cylinders. Spherical wave functions. Plane wave scattering by conducting and dielectric spheres. Approximate techniques applied to Rayleigh scattering. Application to a conducting sphere. High frequency approximation. Geometric theory of diffraction. Diffraction by a slit. Prerequisite: EE 530
Pre-Requisites: EE530 Or EE530
Dielectric slab waveguides. Classification of mode types. Parabolic two-dimensional media. Circular waveguides. Step-index and graded-index optical fibers. Effect of loss. Dispersion effects. Fabrication methods in integrated optics and optical fibers. Light sources. Light Detectors. WDM concepts and components. Optical Amplifiers. Point-to-point link system considerations. Photonic devices. Applications in communication systems. Prerequisite : Graduate Standing
Review of basic electromagnetic theory and partial differential equations (PDEs). Finite-difference approximation of PDEs. The finite-difference time domain (FDTD) in 2D and 3D. The Yee's mesh. Scalar formulation of the FDTD method. Related topics including numerical stability and dispersion, boundary conditions, materials, etc. Introduction to other methods such as the finite-element method, the method of lines, beam propagation method, and the method of moments. Applications and case studies. Prerequisite: Consent of the Instructor
Antenna array fundamentals. Analysis and synthesis of discrete linear arrays. Two-dimensional arrays. Concept of adaptive arrays. Adaptive beam forming and nulling. Superdirective array functions. Suppression of side lobes in linear arrays. Prerequisite: EE 422 or equivalent
The contents of this course will be in one of the areas of interest in electromagnetics, The specific contents of the special topics of course will be given in detail at least one semester in advance of that in which it is offered. Prerequisite : Consent of the Instructor
MOS and CMOS technology: building blocks, devices, capacitors and limitations. Operational amplifiers and other analog systems. Application to filter design and data converters. Layout considerations and CAD tools. Prerequisite: EE 542
Pre-Requisites: EE542 Or EE542
Review of MOS transistors: fabrication, layout and characterization. Review of CMOS circuit and logic design: fully complementary CMOS logic, pseudo-NMOS logic, dynamic CMOS logic, pass-transistor logic, clocking strategies. Subsystem design: ALUs, multipliers, memories, PLAs. Architecture design: iterative cellular design and systolic arrays. Application to system level designs. Prerequisite: EE 541
Pre-Requisites: EE541 Or EE541
The contents of this course will be in one of the areas that has the nature of research topics in digital and electronics systems. For example: VLSI architecutres, Advanced analog ICs, Physics of ultra small devices, etc. Prerequisite: Consent of the Instructor
Introduction to the various approaches of adaptive controller design. Real-time parameter estimation. Model reference adaptive control. Self-tuning controllers. Variable structure systems. Gain Scheduling. Robustness issues. Practical aspects and implementation. Typical Industrial applications. Prerequisite: EE 550 (Equivalent to SCE 527)
Pre-Requisites: (EE550 Or SCE507)
Introduction to nonlinear systems and control. Overview of phase plane analysis, describing function and limit cycles. Linear systems and linearization. Lyapunov stability, Invariance principal, different notions of stability (uniform, uniform asymptotic, exponential, global uniform asymptotic), input-output stability, Input-to-State-Stability (ISS), region ofattraction. Invariance Theorems. System linearization by state fiansforrnation and feedback, partial linearization, zero dynamics. Back-stepping method. Prerequisite: EE 550 @quivalent to SCE 517)
Pre-Requisites: EE550 Or SE507 Or SCE507 Or EE550 Or SE507 Or SCE507
Elements of robust control theory. Norms of signals and systems. Performance specifications. Modeling of uncertain linear systems and system parameterization. Model uncertainty and robustress. Polyopic uncertainties and norm-bounded uncertainties. Domain stability, H∞ norm, and H2 norm. Linear matrix inequalities and their numerical solutions. Stability of uncertain linear systems in continuous time and discrete time. H. Filtering, Loop transfer recovery. H-Control, Mixed H2- H∞ control. Case studies. Prerequisite: EE 550 @quivalent to SCE 614)
Pre-Requisites: EE550 Or SCE507
Introduction to large scale systems. Classical Model reduction techniques. Component cost analysis method. L2 model reduction. Hankel norm approximation. Introduction to H∞ model reduction. Relations between modeling and control. Closed loop model reduction. Decentralized control design schemes. System's interactions. Coordinated and hierarchical control. Case studies. Prerequisite: EE 550 or equivalent (Not to be taken for credit with SE 509)
Pre-Requisites: EE550 Or SCE507
Predictive control concept. Process models and prediction. Optimization criterion. Predictive control law. Performance and robustness. Minimum cost horizon. Disturbance model. Overview of well-known predictive controllers. Tuning of predictive controller design parameters. Predictive control with output constraints. Implementation issues. Industrial case studies. Prerequisite: EE 550 or equivalent
Pre-Requisites: EE550 Or SCE507
Basic concepts of robotics. Mathematical description of industrial manipulator. Homogeneous transformation and the Denavit-Hartenberg notation. Transformation between frames. Forward, and inverse kinematics and dynamics. Newton - Euler and Lagrange formulations. Joint space, and Cartesian space trajectories and dynamic contol. Trajectory planning. Advance control schemes. Prerequisite: EE 550 (Equivalent to SCE 571)
Pre-Requisites: EE550 Or SCE507
The contents of this course will be in one of the areas of interest in control. The specific contents of the special topics of course will be given in detail at least one semester in advance of that in which it is offered. Prerequisite : Consent of the Instructor
Optimal one-dimensional filter design techniques. Multidimensional digital signals and systems. Multidimensional Fourier transform. Analysis of multidimensional systems and digital filter design. Implementation issues. Parametric and non-parametric spectral estimation. Applications. Prerequisite: EE 562 or equivalent
Pre-Requisites: EE562 Or EE562
Introduction to adaptive Signal Processing. Fundamentals of Adaptive Filter Theory. The LMS Algorithm, LMS-based Algorithms. Conventional RLS Adaptive Filtering. Adaptive Lattice-based RLS Algorithms. Fast Algorithms. Implementation Issues. Adaptive IIR filters. HOS-based adaptive filtering. Introduction to nonlinear filtering. Applications to Echo cancellation, equalization, noise canceling and prediction. Prerequisite: EE 570 or equivalent
Pre-Requisites: EE570 Or EE570
Two-dimensional systems and mathematical preliminaries. Perception and human vision systems. Sampling and quantization. Image transforms. Image representation by stochastic models. Image data compression, enhancement, filtering, restoration. Reconstruction from projection. Analysis and computer vision. Prerequisite: Consent of the Instructor (Not to be taken for credit with SE 662)
Cosine transform and short-time Fourier transform, Analysis of filter banks and wavelets, Sub-band and wavelet coding, Multirate signal processing, Wavelet transform, Daubechies wavelets, Orthogonal and biorthogonal wavelets, Timefrequency and time-scale analysis, Design methods. Applications of wavelets to audio and image compression, Medical imaging, Geophysics, Scientific visualization. Prerequisite: EE 562 or equivalent
Pre-Requisites: EE562 Or EE562
Principles and techniques of signal compression, Quantization theory, Linear prediction, Coding techniques: predictive, transform, entropy, and vector quantization, Fidelity, bit-rate, and complexity trade-offs. Compression standards, Applications to speech, audio, image, and video compression. Prerequisite: EE 562 or equivalent
Pre-Requisites: EE562 Or EE562
The contents of this course will be in one of the areas of interest in signal processing. The specific contents of the special topics of cowse will be given in detail at least one semester in advance of that in which it is offered. Prerequisite : Consent of the Instructor
Introduction to satellite communication systems. Satellite orbits. The satellite channel. Satellite links. Earth stations. Modulation and multiplexing. Digital modulation. Multiple access and demand assignment. Satellite cross links. VSAT and mobile satellite systems. Prerequisite: EE 571
Pre-Requisites: EE571 Or EE571
Introduction to modern communication networks, Data traffic, Queuing models, Multi-access channels, Multiplexing. Packet switching, Circuit switching, Datagrams, Protocols, Media access control, Resource allocation, SONET, ATM, Performance analysis. Product-form queuing networks, Local area networks, Ethernet, Fiber-Distributed-Data-Interface (FDDI), Token rings, Token busses, Polling systems, Optimal routing and flow controls. Prerequisite: EE 570 (crosslisted with COE 540)
Pre-Requisites: EE570 Or EE570 Or SE543 Or SE543
Review of propagation models, modulation, and diversity for second-generation systems. Information theoretic capacity of fading channels: ergodic and outage capacity. Single-user MIMO systems: channel models, capacity, and trars-receive schemes. Introduction to multiuser information theoretic models: Multiple Access, Broadcast, and Interference channels. Multiuser-user MIMO systems: trans-receive schemes and capacity results. Multiuser scheduling and multi-user diversity. Introduction to Cognitive radio. Cooperative communications. Ad hoc networks. Future and open research topics. Prerequisite: EE 577
Pre-Requisites: EE577 Or EE577
The contents of this course will be in one of the areas of interest in communication. The specific contents of the special topics of course will be given in detail at least one semester in advance of that in which it is offered. Prerequisite: Consent of the Instructor
Individual research projects to be approved by the supervising faculty members before registering for the course. An approved written report must be filed with the Graduate Committee before credit is accepted. Credit of this course may not be used towards the fulfillment of the M.S. Degree.
PhD students are required to attend departmental seminars delivered by faculty, visiting scholars and graduate students. Additionally, each PhD student should present at least one seminar on a timely research topic. PhD students should pass the comprehensive examination as a part of this course. This course is pre-requisite to registering the PhD dissertation XXX X710. The course is graded as pass or fail.
This course is intended to allow the student to conduct research in advanced problems in his PhD research area. The faculty offering the course should submit a research plan to be approved by the graduate program committee at the academic department. The student is expected to deliver a public seminar and a report on his research outcomes at the end of the course. Prerequisite: prior arrangement with an instructor
This course is intended to allow the student to conduct research in advanced problems in his PhD research area. The faculty offering the course should submit a research plan to be approved by the graduate program committee at the academic department. The student is expected to deliver a public seminar and a report on his research outcomes at the end of the course. Prerequisite: prior arrangement with an instructor
None
Pre-Requisites: EE699
This course enables the students to submit his PhD Dissertation proposal and defend it in public. The student passes the course if the PhD Dissertation committee accepts the submitted dissertation report and upon successfully passing the Dissertation proposal public defense. The course grade can be NP, NF.
Pre-Requisites: EE699*
Co-Requisites: EE 699
This course enables the students to work on his PhD Dissertation as per the submitted dissertation proposal, submit its final report and defend it in public. The student passes the course if the PhD Dissertation committee accepts the submitted final dissertation report and upon successfully passing the Dissertation public defense. The course grade can be NP, NF or IP.
Pre-Requisites: EE711