EE 500 M.S. Research and Thesis NC (*)
EE 501 Principles of Mathematical Analysis (3-0)3 (**)
EE 502 Linear System Theory (3-0)3 (**)
EE 503 Mathematics for Operations Research and Optimization (3-0)3
EE 504 Matrix Computation (3-0)3
EE 511 Introduction to Optical Fiber Communications (3-0)3
EE 512 Advanced Optical Fiber Concepts (3-0)3
EE 513 Optical Fiber Sensors (3-0)3
EE 514 Principles of Modern Optical System (3-0)3
EE 515 Opto-electronics (3-0)3
EE 516 Fourier Optics (3-0)3
EE 521 Advanced Electromagnetic Theory I (3-0)3
EE 522 Numerical Methods for Electromagnetics (3-0)3
EE 523 Antenna Theory (3-0)3
EE 524 Microwave Devices and Applications(3-0)3
EE 525 Asymptotic Techniques in Electromagnetic (3-0)3
EE 526 Advanced Electromagnetic Theory II (3-0)3
EE 527 Microwave Measurement Techniques (3-0)3
EE 531 Probability and Random Processes (3-0)3
EE 532 Stochastic Analysis and Estimation for Dynamical Systems (3-0)3
EE 533 Digital Signal Processing (3-0)3
EE 534 Advanced Digital Signal Processing (3-0)3
EE 535 Adaptive Filter Theory (3-0)3
EE 536 Speech Processing I (3-0)3
EE 537 Speech Processing II (3-0)3
EE 538 Detection and Estimation Theory (3-0)3
EE 539 Audio Signal Processing (3-0)3
EE 540 Wavelet Theory Multiresolution Signal Analysis (3-0)3
EE 541 Speech Synthesis (3-0)3
EE 542 Multidimensional Signal Processing (3-0)3
EE 543 Artificial Neural Systems (3-0)3
EE 544 Information Theory and Coding (3-0)3
EE 545 Image Processing (3-0)3
EE 546 Pattern Recognition (3-0)3
EE 547 Computer Vision (3-0)3
EE 548 Medical Imaging Systems and Application (3-0)3
EE 549 Biomedical Image Analysis (3-0)3
EE 551 Digital Communications - I (3-0)3
EE 552 Digital Communications - II (3-0)3
EE 553 Error Control Coding (3-0)3
EE 554 Mobile Communication (3-0) 3
EE 555 Computer Communication Networks(3-0) 3
EE 556 Nonlinear Systems Analysis (3-0)3
EE 557 Multiple Antenna Techniques in Wireless Communications (3-0)3
EE 562 Telecommunication Circuits (3-0)3
EE 563 Special Topics in Electrical Engineering (3-0)3
EE 58x Selected Topics in Electrical Engineering (3-0)3
EE 598 Research Seminar (0-2)0
EE 8xx Special Studies (4-0)
EE 9xx Special Topics (4-0)
(*) must courses
(**) EE 501 or EE 502 must be taken
Course Descriptions
EE 500 M.S. Research and Thesis NC Program of research leading to M.S. degree arranged between the student and a faculty member. Students register to this course in all semesters while the research program or write up of thesis is in progress. Student must start registering to this course no later than the second semester of his/her M.S. study
EE 501 Principle of Mathematical Analysis (3-0) 3 Vector spaces, function spaces, linear transformations, convex and concave functions, metric spaces, convergent sequences, compactness; Differential calculus on R n ; Continuity and limits, sequences of functions, Gateaux and Frechet derivatives, Mean-value theorem, Taylor's theorem, inverse function theorem, implicit function theorem, manifolds; Integration: Riemann Integration, intervals, measure, integrals over R n .
EE 502 Linear System Theory (3-0)3 Linear spaces, normed linear spaces, metric spaces, Hilbert spaces. Matrix representation of Linear Transformations, change of basis. Fundamental theorem of differential equations. Dynamical systems. State transition matrix, impulse response matrix. Variational equation. Dynamic interpretation of eigenvalue-eigenvectors. Minimal polynomials, function of a matrix, bounded-input bounded-output stability, equilibrium points, stability in the sense of Liapunov. Algebraic equivalence, controllability,observability, minimal realization.
EE 503 Mathematics for Operations Research and Optimization (3-0)3 Groups and fields, vector spaces, Linear transformations, Gauss-Jordan pivoting, Gram-Schmidt procedure, unitary space. Hyperplanes, convex polyhedron, Linear inequalities, Tucker's theorem for positive solutions, Minkowski's theorem, Eigenvector-eigenvalue problem, definiteness, Jordan Canonical form theorem; Optimization theory on R n :Constrained minimization problem, linear programming problem,Lagrange Multiplier Theorem, Kuhn-Tucker Conditions for Inequality constraints, convex programming.
EE 504 Matrix Computation (3-0)3 Matrix multiplication problems, matrix analysis, general linear systems, special linear systems, orthogonalization and least squares, parallel matrix compuatitions, the unsymmetric eigenvalue problem, the symmetric eigenvalue problem, lancoz methods, iterative methods for linear systems.
EE 511 Introduction to Optical Fiber Communications (3-0)3 Optical propagation in fibers, attenuation, scattering, dispersion, polarization and non-linear phenomena in transmission. Optical sources and optical detectors. Coupling of sources and detectors to optical fibers, splicing and optical connectors. Non-coherent receivers and their performance, non-coherent optical fiber communication systems.
EE 512 Advanced Optical Fiber Concepts (3-0)3 Coherent optical fiber communication systems with heterodyne and homodyne demodulation. Optical fiber amplifiers, frequency division multiplexing and time division multiplexing. Wavelength Division Multiplexing systems. Pulse propagation and compression. Soliton.
EE 513 Optical Fiber Sensors (3-0)3 Fiber optic sensor components: sources, photodetectors, couplers, connectors and splices; Lightwave in fiberoptic sensors. Interferometric fiberoptic sensors, Phase modulated fiberoptic sensors, Intensity modulated fiberoptic sensors, Fiberoptic sensor arrays and distributed sensing, Fiberoptic telemetry systems.
EE 514 Principles of Modern Optical System (3-0)3 A general review of ray optics, wave optics, beam optics, fourier optics and photon Optics. Electromagnetic theory of optics and polarization; optical waveguides; fiber optics; optical resonators, optical fiber sensors; theory, applications and system considerations. An overview of the other principal application of optics.
EE 515 Optoelectronics (3-0)3 Review of electromagnetic theory relevant to optoelectronics. Propagation of rays, Spherical waves and Gaussian beams. Optical resonators. Modulation and detection of optical radiation. Noise in optical detection and generation. Interaction of light and sound. Fiber optics applications.
EE 516 Fourier Optics (3-0)3 Application of Fourier theory to the analysis and synthesis of optical imaging and optical data processing systems. Propagation and diffraction of light. Fresnel and Fraunhofer approximations. Fourier transforming properties of lenses. Image formation with coherent and incoherent light. Transfer function of imaging systems. Optical data processing and holography.
EE 521 Advanced Electromagnetic Theory I (3-0)3 Fundamental concepts and theorems. Plane, cylindrical and spherical waves. Plane waves in different medium. Vector and scalar potentials. Transmission lines, waveguides and resonant cavities. Radiating systems. Integral equation formulation of electromagnetic scattering. Periodic structures. Perturbation and variational techniques.
EE 522 Numerical Methods for Electromagnetics (3-0)3 Numerical solution of matrix equations and matrix eigenvalue problems. Method of moments. Finite difference and finite element methods. Variational methods. Spectral domain approach. The use of above methods in the solution of various antenna and scattering problems, and in the analysis of passive microwave components.
EE 523 Antenna Theory (3-0)3 Fundamentals of electromagnetic radiation and antennas. The plane wave spectrum representation. Wire, slot horn, microstrip and reflector type antennas with emphasis on their applications in various frequency bands. Array analysis and synthesis techniques.Special types of antennas and polarizers.
EE 524 Microwave Devices and Applications(3-0)3 Transmission lines and waveguides: line equations, coaxial line, waveguides, microstrip line;Passive devices: connectors, attenuators, resonators and filters, directional coupler, isolator and circulator; Microwave tubes: klystron, travelling-wave tube; Diodes: varactor diode, parametric amplifier, pin-diode, tunnel diode, Gunn devices, IMPATT; Transistors: bipolar and field effect, amplifiers, mixers, oscillators.
EE 525 Asymptotic Techniques in Electromagnetic (3-0)3 Definition of asymptotic sequences, expansions and series. Laplace method for integrals; Watson's lemma. Method of stationary phase and method of steepest descent.Transform integrals and their asymptotic evaluation. Singularities and asymptotic method of differential equations. Differential equations with a large parameter.
EE 526 Advanced Electromagnetic Theory II (3-0)3 Green's functions, Advanced boundary value problems in cylindrical and spherical coordinates, special functions, integral equation formulations.
EE 527 Microwave Measurement Techniques (3-0)3 Signal generators: classification, components and typical block diagrams, output spectra; Power measurement: measuring heads, measurement of modulated and pulsed signals, error sources; Frequency measurement: mechanical frequency- and wavelength-meters, electronical frequency counters; Spectrum analyser: bandwidth, resolution, structure of spectrum analysers, measuring dynamic; Phase noise measurement: definition of phase noise, quantitative description,spectral power density, direct method, phase-detector method, frequency-demodulator-method,phase noise of pulsed signals; Network analyser: principle; components, error correction,calibration, scalar and vector analyser; Antenna measurement: characteristics of an antenna,measurement site, far-field condition, anechoic chamber, impedance, gain, radiation pattern;Automation of measurement systems: IEEE 488, bus system, interface functions, commands and programming languages.
EE 531 Probability and Random Processes (3-0)3 Engineering applications of probability theory. Problems on events, independence, random variables and vectors, probability distribution and density functions, expectations, and characteristic functions. Dependence, correlation, and regression; multi-variate Gaussian distribution. Stochastic processes, stationarity, ergodicity, correlation functions, spectral densities, random inputs to linear systems; Gaussian and Poisson processes. Markov Chains and processes. Introduction to estimation theory and Wiener filtering.
EE 532 Stochastic Analysis and Estimation for Dynamical Systems (3-0)3 Linear Algebra and linear systems review; Concepts in Estimation Theory: maximum likelihood (ML), maximum a-posteriori (MAP), least squares (LS), minimum mean square (MMSE) estimation; bias, variance, mean squared error, consistency, efficiency; Linear Estimation for Static Systems: LS estimation , polynomial fitting; Linear Dynamic Systems with Random inputs; State Estimation for linear dynamical systems: Kalman Filter; State Estimation in Non-linear Dynamical systems: extended Kalman filter, particle filtering, unscented Kalman filter; Stochastic differential equations
EE 533 Digital Signal Processing (3-0)3 Sampling and quantization schemes. Linear shift invariant systems, stability and casuality. Two dimensional systems and sequences. Flow graphs, digital filter design techniques, FIR and IIR filters. Computation of DFT, FFT techniques. Effects of finite register length. Estimation of power spectra. Homorphic filtering, discrete time random signals and systems.
EE 534 Advanced Digital Signal Processing (3-0)3 Parametric signal modeling. Multirate processing of digital signals. Practical examples of multirate processing of digital systems. Efficient Fourier transform and convolution algorithms. Short time Fourier Transform. Fundamentals of adaptive signal processing.Topics in digital filter design.
EE 535 Adaptive Filter Theory (3-0)3 Study of the mathematical theory of various realizations of linear filters. Detailed study of linear optimum filtering, namely Wiener filtering, linear prediction, and Kalman filtering. FIR structures versus lattice filter structures. Method of least Squares, Comparative study of steepest descent, least-mean square (LMS) and recursive least squares (RLS) filter design algorithms.
EE 536 Speech Processing I (3-0)3 Mathematical models of human speech production and perception mechanisms, speech analysis/synthesis techniques including linear prediction, filter bank models and homomorphic filtering. Applications to speech synthesis and automatic speech recognition.
EE 537 Speech Processing II (3-0)3 Speech enhancement, feature extraction, the EM algorithm,acoustic modeling, language modeling, training algorithms, search algorithms,noise robustness, speaker adaptation, speaker recognition, and text to speech.
EE 538 Detection and Estimation Theory (3-0)3 Classical statistical decision theory, decision criteria and composite hypothesis tests. Receiver operating characteristics and error probability, applications to radar and communications. Detection of signals with unknown and random parameters, detection of stochastic signals, nonparametric detection techniques. Introduction to signal design, ambiguity function, the uncertanity principle. Applications to radar and sonar systems.
EE 539 Audio Signal Processing (3-0)3 Characteristics of musical sounds. Temporal and spectral properties. Human auditory system and psychoacoustics. Audio signal analysis: automatic transcription, singing analysis, music information retrieval. Audio/speech coding: Linear prediction, ADPCM, and CELP algorithms for narrowband and wideband coding, mp3, midi representation. Audio/speech signal modification (time compression/expansion, pitch modification) and synthesis (model based, concatenative). Hardware: transducers: pick-ups, microphones, loudspeakers. Recording and processing devices: mixers, effects (pedals/multi-processors). Recording room acoustics. Musical instrument modeling: string instrument modeling, woodwind instrument
EE 540 Wavelet Theory Multiresolution Signal Analysis (3-0)3 Time-frequency signal decomposition. Block transforms, subband filters, wavelet decomposition. Orthogonality, transform efficiency, coding gain performance. Wavelet transform: regularity, 2-channel filterbanks, wavelet families. DCT, lapped Orthogonal Transforms, other transforms. Parametric modeling of signal sources.
EE 541 Speech Synthesis (3-0)3 Overview of text to speech synthesis methods: formant synthesis, articulatory synthesis, concatenative synthesis. Architecture of data-driven methods for speech synthesis. Speech corpus construction: Unit coverage problem. Optimal text selection for recording: the greedy algorithm. Recording: Speaker selection, room acoustics and other practical problems. Segmentation: automatic and semi-automatic methods. Unit selection algorithm: defining the cost functions, viterbi search on a large corpus. Modeling and synthesis of prosody: prosodic labeling, duration modeling, intonation modeling, synthesis of prosody from text. Signal processing methods for prosody modification, concatenation and smoothing out discontinuities: harmonic model, linear predictive modeling, time-domain methods. Expressive/emotional speech synthesis: dimensions of emotional speech, voice quality analysis/modification. Evaluation of speech synthesis systems. Speaker modification techniques for generation of new voices.
EE 542 Multidimensional Signal Processing (3-0)3 Multidimensional functions and their Fourier transform. Multidimensional difference equations and their z-transforms. Two-dimensional FIR and IIR filter design methods. Stability and stabilization of 2-D system. Stochastic signal models and spectral estimation for multidimensional signals and systems.
EE 543 Artificial Neural Systems (3-0)3 Biological neuron, McCulloch-Pitts neuron model, feedforward network, feedback network,supervised and unsupervised learning: Hebbian learning rule, perceptron learning rule, delta learning rule; Single-layer perceptron classifier, linear machine and minimum distance classification; Multilayer feedforward networks, error back-propagation training; Single-layer feedback networks; Associative memories, cellular neural networks; Matching and Self-Organizing networks, character recognizing networks, linear programming modeling network, expert systems for medical diagnosis.
EE 544 Information Theory and Coding (3-0)3 Information measures, characterization of information sources, coding for discrete sources. Discrete channel characterization, channel capacity, noise-channel coding theorems. Various error control coding and decoding techniques. Introduction to waveform channels and rate distortion theory.
EE 545 Image Processing (3-0)3 Image formation, Binary image processing, Mathematical morphology, Region segmentation, Edge detection, Texture analysis, Shape recognition, Color spaces,Optics, Image enhancement, Image filtering and restoration, Image data compression.
EE 546 Pattern Recognition (3-0)3 Feature selection: Space transformations; Karhunen-Loeve expansion; various distance measures. Supervised learning: Discriminant functions; linear and nonlinear training algorithms; statistical parametric and nonparametric methods. Nonsupervised learning: Clustering with known or unknown number of classes.Classification by neural networks.
EE 547 Computer Vision (3-0)3 Properties of light, human vision, introduction to color image processing, introduction to multi-sensor images, extraction of structural features from images, recognition methods for computer vision, image sequences, optical flow and motion.
EE 548 Medical Imaging Systems and Application (3-0)3 Medical imaging technology,systems, and modalities. Projection radiography: X-Ray systems, digital radiography. Computed tomography (CT): principles, reconstruction methods, hardware. Magnetic resonance imaging (MRI): mathematics, spin physics, NMR spectroscopy, fourier transforms, imaging principles. Ultrasound (US): mathematical principles, echo equation, impulse response, diffraction, lateral and depth resolution, phased array systems, noise removal. Nuclear Medicine: positron emission tomography (PET), single photon emission computed tomography (SPECT), imaging methods, resolution, 3-D imaging. Medical image storage, archiving and communication systems and formats: PACS; DICOM, TIFF. Image processing applications on medical images: enhancement, segmentation, registration, compression, etc.
EE 549 Biomedical Image Analysis (3-0)3 Bioimaging in histopathology. Digitized histologic slides: sectioning of tissue samples, immunohistochemical staining, image acquisition. Preprocessing of histology image data. Tissue segmentation. Region segmentation. Segmentation and morphological characterization of cell nuclei. Abnormality detection via pattern classification. Analysis of three-dimensional radiological sequences. Format conversion and preprocessing. Co-registration and lesion detection. Computational anatomy via deformable registration. Comparative group studies: statistical parametric mapping, high-dimensional pattern recognition. Computational anatomy in four dimensional sequences.
EE 551 Digital Communications - I (3-0)3 Elements of a digital communication system, source coding, channel capacity, characterization communication signals and systems, optimum receivers for the additive Gaussian noise channel,signal design for band-limited channels, fading channels, introduction to spread-spectrum communications.
EE 552 Digital Communications - II (3-0)3 Carrier and symbol synchronization, block and convolutional channel coding, introduction to multichannel and multi-antenna techniques, equalization.
EE 553 Error Control Coding(3-0)3 Introduction to algebra and Galois fields. Various error control coding techniques including linear block codes, cyclic codes, BCH and Reed-Solomon codes, convolution codes. Viterbi algorithm. Trellis coded modulation.
EE 554 Mobile Communication (3-0) 3 Cellular radio design fundamentals: frequency reuse, handoff, interference and system capacity. Mobile channel characterization: large-scale path loss, log-normal shadowing ; small-scale fading and multipath, delay spread an coherence bandwidth, frequency selectivity, coherence time and Doppler spread, fast and slow fading. Modulation techniques for mobile radio; receiver complexity, error rate analysis, efficient spectral utilization. Different techniques of diversity and combining. Time, frequency and code division multiple access; packet reservation, space division multiple access. Capacity calculations and networking.
EE 555 Computer Communication Networks (3-0) 3 Introduction to the Internet, Ethernet and wireless LANs. Principles of data communication, sections on transmission medium, important examples such as public switched telephone system, mobile phone system, cable television, ADSL, broadband wireless, DOCSIS. Fundamental principles of point-to-point protocols. Quality of service, integrated and differentiated services. ISO OSI networking layers. Transport control protocol, user datagram protocol, real time protocol, remote procedure call. Application and session layer protocols and examples.
EE 556 Nonlinear Systems Analysis (3-0)3 Nonlinear differential equations, Induced norms and matrix measures; Second order systems, Linearization methods; Approximate analysis methods, Describing functions,Singular perturbations; Lyapunov stability, the Lur'e problem ; Input-Output stability,Linear time-invariant feedback systems; Differential geometric methods, Frobenius Theorem,reachability and observability, feedback linearization, stabilization of linearizable systems.
EE 557 Multiple Antenna Techniques for Wireless Communications (3-0)3 Fundamental theories of multiple-input multiple-output (MIMO) which uses multiple antenna techniques in wireless communications systems. MIMO channel modelling and channel capacity. Spatial diversity techniques, the design of space-time codes and spatial multiplexing techniques. MIMO and space-time equalization and receiver structures. Exploiting feedback channel information in the transmitter using multiple antenna techniques. Orthogonal frequency division multiplexing (OFDM) with multiple transmit and/or receive antennas systems.
EE 562 Telecommunication Circuits (3-0)3 Small and large signal high frequency amplifier design. High frequency oscillators.Noise considerations in Radio Frequency (RF) amplifiers. RF amplifiers. Phased-Locked Loops. Modulators and Demodulators.
EE 563 Special Topics in Electrical Engineering (3-0)3 Course content is selected by the instructor from current research topics.
EE 58x Selected Topics in Electrical Engineering (3-0)3 Course content is selected by the instructor from current research topics.
EE 598 Research Seminar (0-2)0 A seminar must be given by each student on his/her research area which is graded by an academic member of staff. The topic of the seminar can be decided by the student and his/her supervisor.
EE 8xx Special Studies (4-0) M.S. studies choose and study a topic under the guidance of a faculty member normally his/her advisor.
EE 9xx Special Topics (4-0) Graduate students as a group or a Ph.D. students choose and study advanced topics under the guidance of a faculty member normally his/her advisor.