Computer vision is the science and technology of machines that can see. As a scientific discipline, computer vision is concerned with the theory behind artificial systems that extract information from images. The image data can take many forms, such as video sequences, views from multiple cameras, or multi-dimensional data from a medical scanner. As a technological discipline, computer vision seeks to apply its theories and models to the construction of computer vision systems. Various reseach areas includes: Applications in Display Technology, Computer Vision for Navigation, Metrology, High Level Video Analysis, and Human Computer Interfaces. Pharmaceutical biomathematical modeling, Signal and System theory.

Faculty : Dr.R.M.Hegde
Contact Person : Location: ACES 203
Lab Contact No:6677

Research Areas: Mobile Beacon and node localisation using array processing methods, mobile beacon tracking using signal processing methods, self-organizing autonomous sensor networks with random geometry, distributed multi sensor data fusion, situation aware multi modal sensor and cell phone networks.

Printed circuit boards are electronic circuits boards created for mounting electronic components on a nonconductive board, and creating conductive connections between them. The creation of circuit patterns is accomplished by using both additive and subtractive methods. The conductive circuit is generally copper, although aluminum, nickel, chrome, and other metals are sometimes used. There are three basic varieties of printed circuit boards: single-sided, double-sided, and multi-layered.

Single sided PCB:Conductors on only one side of a dielectric base

Double sided PCB:Conductors on both sides of a dielectric base, usually interconnected (the two layers) with plated-through-holes (PTHs).

Multi-layer:Conductors on 3 or more layers separated by dielectric material and interconnected by PTH or pads 

• Dr. Raghvendra Kumar Chaudhary (Co-Coordinator)

• Mrs. Sangita Singh (In-charge)
• Mr. Anil Kumar
• Mr.Jashpal Singh

ACES 125, IIT Kanpur
Phone: 0512-259-7628/6660

• EE 200 SIGNALS, SYSTEMS AND NETWORKS
  Continuous and discrete time signals; Fourier series, Fourier, Laplace and Z tr\ansform techniques; DFT. Sampling Theorem. LTI systems: I/O description, impulse response and system functions, pole/ zero plots, FIR and IIR systems. Analog and digital filters. Networks: topological description, network theorems,Two port analysis.
• EE 301 DIGITAL SIGNAL PROCESSING
  Review of discrete time signals and systems. Sampling of CT signals: aliasing, prefiltering, decimation and interpolation, A/D and D/A conversion, quantization noise. Filter design techniques. DFT Computation. Fourier analysis of signals using DFT. Finite register length effects. DSP hardware. Applications. .
• EE 320 PRINCIPLES OF COMMUNICATION
  Communication problem and system models. Representation of deterministic and stochastic signals. Analog and digital modulation systems, Receiver structures, SNR and error probability calculations, Frequency and time division multiplexing. Digital encoding of analog signals. Elements of information theory, Multiple access techniques and ISDN.
• EE 321 COMMUNICATION SYSTEMS
  Information measures. Source coding. ISI & channel equalization, partial response signalling. M-ary modulation systems, error probability calculations. PLLs and FM threshold extension. Error control coding, block and convolution codes. Combined modulation and coding, trellis coded modulation. Spread spectrum systems.
• EE390 COMMUNICATION SKILLS
• EE 403 ADVANCED DIGITAL SIGNAL PROCESSING
  Review of linear algebra; functional analysis, time-frequency representation; frequency scale and resolution; uncertainity principle, short-time Fourier transform, Multi-resolution concept and analysis, Wavelet transforms. Wigner-ville distributions. Multi-rate signal processing; discrete-time bases and filter banks; 2D signals and systems, 2D sampling in arbitrary lattices, 2D-linear transforms, 1D/2D signal compression; introduction to DSP architecture.
• EE 422 COMMUNICATION SYSTEM ENGINEERING
  Baseband signal characterisation-telegraphy, telephony, television and data; message channel objective; voice frequency transmission, radio wave propagation methods: random noise characterization in communication systems, intermodulation distortion : line of sight systems description and design; troposcattrer systems.

• EE 600 MATHEMATICAL STRUCTURES OF SIGNALS & SYSTEMS
  Nature of definitions; Theory of measurement and scales; Symmetry, invariance and groups; Groups in signals and systems; Algebraic and relational structures of signal spaces and convolutional systems; Representation theory of groups, harmonic analysis and spectral theory for convolutional systems.
• EE 601 MATHEMATICAL METHODS IN SIGNAL PROCESSING
  Generalized inverses, regularization of ill-posed problems. Eigen and singular value decompositions, generalized problems. Interpolation and approximation by least squares and minimax error criteria. Optimization techniques for linear and nonlinear problems. Applications in various areas of signal processing.
• EE 602 STATISTICAL SIGNAL PROCESSING I
  Power Spectrum Estimation-Parametric and Maximum Entropy Methods, Wiener, Kalman Filtering, Levinson-Durban Algorithms Least Square Method, Adaptive Filtering, Nonstationary Signal Analysis, Wigner-Ville Distribution, Wavelet Analysis.
• EE 603 ADVANCED TOPICS IN DIGITAL FILTERING
  Multirate Processing of discrete Time Signals; Orthogonal Digital Filter Systems. Two-Dimensional Discrete Time Filters. VLSI Computing structures for Signal Processing.
• EE 604 IMAGE PROCESSING
  Human visual system and image perception, monochrome & colour vision models, colour representation ; image sampling & quantization; 2-D systems; image transforms; image coding; stochastic models for image representation; image enhancement, restoration & reconstruction. Image analysis using multiresolution techniques.
• EE 605 INTRODUCTION TO SIGNAL ANALYSIS
  Discrete and Continuous time signals and systems, LTI systems, Convolution, Difference equations. Frequency domain representation: Fourier transform and its properties. Random discrete signals. Sampling and reconstruction: Change of sampling rate. Normed vector spaces, basis, linear independence, orthogonality. Linear systems of equations. Over- and Underdetermined systems. Row- and Column spaces, Null spaces. Least square and minimum norm solutions. Inverse and pseudo inverse, Symmetry transformations. Eigenvectors and eigenvalues. Hilbert transforms, band pass representations and complex envelope. Base band pulse transmission, matched filtering, ISI, equalization. Coherent and noncoherent detection.
• EE 606 ARCHITECTURE AND APPLICATIONS OF DIGITAL SIGNAL PROCESSORS
  Review of DSP fundamentals. Issues involved in DSP processor design - speed, cost, accuracy, pipelining, parallelism, quantization error, etc. Key DSP hardware elements - Multiplier, ALU, Shifter, Address Generator, etc. TMS 320C55 X and TM 320C6X and 21000 family architecture and instruction set. Software development tools - assembler, linker and simulator. Applications using DSP Processor - spectral analysis, FIR/IIR filter, linear-predictive coding, etc.
• EE 607 WAVELET TRANSFORMS FOR SIGNAL AND IMAGE PROCESSING
  Basics of functional Analysis; Basics of Fourier Analysis; Spectral Theory; Time- Frequency representations; Nonstationary Processes; Continuous Wavelet Transforms; Discrete Time-Frequency Transforms; Multi resolution Analysis; Time-Frequency Localization; Signal Processing Applications; Image Processing Applications
• EE 608 VIDEO PROCESSING
• EE 609 BASICS OF BIOMEDICAL SIGNAL AND IMAGE PROCESSING
  Speech and pathology of vocal tract/ cords, Perpetual coding of audio signal and data compression, Spatio-temporal nature of bioelectric signals, cardiac generator and its models, Specific digital technique for bioelectric signals, Modes of medical imaging.
• EE 621 REPRESENTATION AND ANALYSIS OF RANDOM SIGNALS
  Review of probability, random variables, random processes; representation of narrow band signals. Transmission of signals through LTI systems; Estimation and detection with random sequences; BAYES, MMSE, MAP, ML schemes. KL and sampling theorem representations, matched filter, ambiguity functions, Markov sequences, linear stochastic dynamical systems.
• EE 622 COMMUNICATION THEORY
  Rate Distortion Theory, Channel Coding Theorems, Digital Modulation Schemes, Trellis Coded Modulation, Digital Transmission over Bandlimited Channels, Fading Multipath Channels, Synchronization. Analog Modulation Schemes, Optimum/ Suboptimum Receivers; Diversity Combining; Cellular Mobile Communciation; Equalization.
• EE 623 DETECTION AND ESTIMATION THEORY
  Classical Detection and Estimation Theory, Signal Representation, Detection of signals in Gaussian noise, Waveform estimation, Linear estimation problems, Wiener filtering, Kalman filtering.
• EE 624 INFORMATION AND CODING THEORY
  Entropy and mutual information, rate distortion function, source coding, variable length coding, discrete memoryless channels, capacity cost functions, channel coding, linear block codes, cyclic codes. Convolutional codes, sequential and probabilistic decoding, majority logic decoding, burst error-correcting codes.
• EE 625 SATELLITE COMMUNICATION
  Introduction. Historical background and overall perspective; Satellite network modeling ; Link calculations; FM analysis; TV Transmission; Digital modulation; Error control; Multiple access; FDMA, TDMA, CDMA. Orbital considerations; Launching; Atmospheric effects; Transponders; Earth Stations; VSATs.
• EE 627 SPEECH SIGNAL PROCESSING
  Spectral and non-spectral analysis techniques; Model-based coding techniques; Noise reduction and echo cancellation; Synthetic and coded speech quality assessment; Selection of recognition unit; Model-based recognition; Language modelling; Speaker Identification; Text analysis and text-to-speech synthesis.
• EE 628 TOPICS IN CRYPTOGRAPY AND CODING
  Cryptography and error control coding in communication and computing systems. Stream and block ciphers; DES; public-key cryptosystems; key management, authentication and digital signatures. Codes as ideals in finite commutative rings and group algebras. Joint coding and cryptography.
• EE 629 DIGITAL SWITCHING
  Network Architecture; time division multiplexing; digital switching; space & time division switching, cross point and memory requirements; blocking probabilities. traffic Analysis, models for circuit and packet switched systems, performance comparison; ISDN.
• EE 658 FUZZYSET,LOGIC & SYSTEMS AND APPLICATIONS
  Introduction, Uncertainity, Imprecision and Vagueness, Fuzzy systems, Brief history of Fuzzy logic, Foundation of Fuzzy Theory, Fuzzy Sets and Systems, Fuzzy Systems in Commercial Products, Research Fields in Fuzzy Theory, Classical sets and Fuzzy sets, Classical Relations, Fuzzy relations, Membership Functions, Fuzzy to crisp conversions, Fuzzy arithmetic, Numbers, Vectors and the extension principle, Classical logic and Fuzzy logic, Mathematical background of Fuzzy Systems, Classical (Crisp) vs, Fuzzy sets, Representation of Fuzzy sets, Types of Membership Functions, Basic Concepts (support, singleton, height, a-cut projections), Fuzzy set operations, S-and T- Norms, Properties of Fuzzy sets, Sets as Points in Hypercube, Cartesian Product, Crisp and Fuzzy Relations, Examples, Liguistic variables and hedges, Membership function design. Basic Principles of Inference in Fuzzy Logic, Fuzzy IF-THEN Rules, Canonical Form, Fuzzy Systems and Algorithms, Approximate Reasoning, Forms of Fuzzy Implication, Fuzzy Inference Engines, Graphical Techniques of Inference, Fuzzyifications/ DeFuzzification, Fuzzy System Design and its Elements, Design options. Fuzzy Events, Fuzzy Measures, Possibility Distributions as Fuzzy Sets, Possibility vs, Probability, Fuzzy Systems as Universal Approximators, Additive Fuzzy Systems (standard additive model).
• EE 671 NEURAL NETWORKS
  Theory of representation; Two computational paradigms; Multi-layer networks; Auto-associative and hetero-associative nets; Learning in neural nets: Supervised and unsupervised learning; Application of neural nets; Neural network simulators.
• EE 672 COMPUTER VISION AND DOCUMENT PROCESSING
  Human and computer vision, Image representation and modelling, Line and edge detection, Labeling, Image segmentation, Pattern recognition, Statistical, structural neural and hybrid techniques, Training & classification, Document analysis and optical character recognition, object recognition, Scene matching & analysis, Robotic version, Role of knowledge.
• EE 673 DIGITAL COMMUNICATION NETWORKS
  OSI model, queueing theory, physical layer, error detection and correction, data link layer, ARQ strategies, framing, media access layer, modelling and analysis of important media access control protocols, FDDI and DQDB MAC protocols for LANs and MANs, network layer, flow control & routing, TCP/IP protocols, ATM.
• EE 676 DIGITAL MOBILE RADIO SYSTEM
  Introduction to Mobile Radio networks, channel description and analysis, Propagation Effects, Technologies, TDMA/CDMA Techniques, Architectures, Cellular Systems, GSM Systems, Mobile Satellite Communication, Wireless ATM, Third Generation Cellular, Universal Mobile Telecommunication Systems (UMTS).
• EE 678 NEURAL SYSTEMS AND NETWORKS
  Memory: Eric Kandel's memory and its physiological basis, Explicit and Implicit memories, Short Term and Long Term potentiation (STP and LTP), Hopfield's Model of Associative Memories, its comparison with Kandel's model, Stability of Hopefield net, its use as CAM, Hamming's Model and comparision of number of weights, Learning: Supervised and Unsupervised nets, Learning Methods, Neural systems: Different types of neurons, dendrites, axons, role of Na+ K+ AT Pase and resting potentials, synaptic junctions and transmission of action potentials, Consciousness and its correlation with respiratory sinus arrythmia, a bioinstrumentation scheme for its measurement; Neural nets for technical applications: Bidirectional Associative Memories, (SAMs), Radial Basic, Function nets. Boltzmann machine, Wavelet nets, Cellular Neural Nets and Fuzzy nets.

• EE 601 MATHEMATICAL METHODS IN SIGNAL PROCESSING
  Generalized inverses, regularization of ill-posed problems. Eigen and singular value decompositions, generalized problems. Interpolation and approximation by least squares and minimax error criteria. Optimization techniques for linear and nonlinear problems. Applications in various areas of signal processing.
• EE 604 IMAGE PROCESSING
  Human visual system and image perception, monochrome & colour vision models, colour representation ; image sampling & quantization; 2-D systems; image transforms; image coding; stochastic models for image representation; image enhancement, restoration & reconstruction. Image analysis using multiresolution techniques.
• EE 605 INTRODUCTION TO SIGNAL ANALYSIS
  Discrete and Continuous time signals and systems, LTI systems, Convolution, Difference equations. Frequency domain representation: Fourier transform and its properties. Random discrete signals. Sampling and reconstruction: Change of sampling rate. Normed vector spaces, basis, linear independence, orthogonality. Linear systems of equations. Over- and Underdetermined systems. Row- and Column spaces, Null spaces. Least square and minimum norm solutions. Inverse and pseudo inverse, Symmetry transformations. Eigenvectors and eigenvalues. Hilbert transforms, band pass representations and complex envelope. Base band pulse transmission, matched filtering, ISI, equalization. Coherent and noncoherent detection.
• EE 621 REPRESENTATION AND ANALYSIS OF RANDOM SIGNALS
  Review of probability, random variables, random processes; representation of narrow band signals. Transmission of signals through LTI systems; Estimation and detection with random sequences; BAYES, MMSE, MAP, ML schemes. KL and sampling theorem representations, matched filter, ambiguity functions, Markov sequences, linear stochastic dynamical systems.
• EE624 INFORMATION AND CODING THEORY
• EE 627 SPEECH SIGNAL PROCESSING
  Spectral and non-spectral analysis techniques; Model-based coding techniques; Noise reduction and echo cancellation; Synthetic and coded speech quality assessment; Selection of recognition unit; Model-based recognition; Language modelling; Speaker Identification; Text analysis and text-to-speech synthesis.
• EE 673 DIGITAL COMMUNICATION NETWORKS
  OSI model, queueing theory, physical layer, error detection and correction, data link layer, ARQ strategies, framing, media access layer, modelling and analysis of important media access control protocols, FDDI and DQDB MAC protocols for LANs and MANs, network layer, flow control & routing, TCP/IP protocols, ATM.
• EE680 INTELLIGENT INSTRUMENTATION

• EE 600 MATHEMATICAL STRUCTURES OF SIGNALS & SYSTEMS
  Nature of definitions; Theory of measurement and scales; Symmetry, invariance and groups; Groups in signals and systems; Algebraic and relational structures of signal spaces and convolutional systems; Representation theory of groups, harmonic analysis and spectral theory for convolutional systems.
• EE 602 STATISTICAL SIGNAL PROCESSING I
  Power Spectrum Estimation-Parametric and Maximum Entropy Methods, Wiener, Kalman Filtering, Levinson-Durban Algorithms Least Square Method, Adaptive Filtering, Nonstationary Signal Analysis, Wigner-Ville Distribution, Wavelet Analysis.
• EE 608 VIDEO PROCESSING
• EE 622 COMMUNICATION THEORY
  Rate Distortion Theory, Channel Coding Theorems, Digital Modulation Schemes, Trellis Coded Modulation, Digital Transmission over Bandlimited Channels, Fading Multipath Channels, Synchronization. Analog Modulation Schemes, Optimum/ Suboptimum Receivers; Diversity Combining; Cellular Mobile Communciation; Equalization.
• EE 623 DETECTION AND ESTIMATION THEORY
  Classical Detection and Estimation Theory, Signal Representation, Detection of signals in Gaussian noise, Waveform estimation, Linear estimation problems, Wiener filtering, Kalman filtering.
• EE 628 TOPICS IN CRYPTOGRAPY AND CODING
  Cryptography and error control coding in communication and computing systems. Stream and block ciphers; DES; public-key cryptosystems; key management, authentication and digital signatures. Codes as ideals in finite commutative rings and group algebras. Joint coding and cryptography.
• EE 629 DIGITAL SWITCHING
  Network Architecture; time division multiplexing; digital switching; space & time division switching, cross point and memory requirements; blocking probabilities. traffic Analysis, models for circuit and packet switched systems, performance comparison; ISDN.
• EE 658 FUZZYSET,LOGIC & SYSTEMS AND APPLICATIONS
  Introduction, Uncertainity, Imprecision and Vagueness, Fuzzy systems, Brief history of Fuzzy logic, Foundation of Fuzzy Theory, Fuzzy Sets and Systems, Fuzzy Systems in Commercial Products, Research Fields in Fuzzy Theory, Classical sets and Fuzzy sets, Classical Relations, Fuzzy relations, Membership Functions, Fuzzy to crisp conversions, Fuzzy arithmetic, Numbers, Vectors and the extension principle, Classical logic and Fuzzy logic, Mathematical background of Fuzzy Systems, Classical (Crisp) vs, Fuzzy sets, Representation of Fuzzy sets, Types of Membership Functions, Basic Concepts (support, singleton, height, a-cut projections), Fuzzy set operations, S-and T- Norms, Properties of Fuzzy sets, Sets as Points in Hypercube, Cartesian Product, Crisp and Fuzzy Relations, Examples, Liguistic variables and hedges, Membership function design. Basic Principles of Inference in Fuzzy Logic, Fuzzy IF-THEN Rules, Canonical Form, Fuzzy Systems and Algorithms, Approximate Reasoning, Forms of Fuzzy Implication, Fuzzy Inference Engines, Graphical Techniques of Inference, Fuzzyifications/ DeFuzzification, Fuzzy System Design and its Elements, Design options. Fuzzy Events, Fuzzy Measures, Possibility Distributions as Fuzzy Sets, Possibility vs, Probability, Fuzzy Systems as Universal Approximators, Additive Fuzzy Systems (standard additive model).
• EE 670 WIRELESS COMMUNICATION
• EE679 QUEUEING SYSTEMS
• EE 671 NEURAL NETWORKS
  Theory of representation; Two computational paradigms; Multi-layer networks; Auto-associative and hetero-associative nets; Learning in neural nets: Supervised and unsupervised learning; Application of neural nets; Neural network simulators.
• EE698D UNIVERSAL COMPRESSION ALGORITHMS & ENTROPY RATE

• EE 601 MATHEMATICAL METHODS IN SIGNAL PROCESSING
  Generalized inverses, regularization of ill-posed problems. Eigen and singular value decompositions, generalized problems. Interpolation and approximation by least squares and minimax error criteria. Optimization techniques for linear and nonlinear problems. Applications in various areas of signal processing
• EE 604 IMAGE PROCESSING
  Human visual system and image perception, monochrome & colour vision models, colour representation ; image sampling & quantization; 2-D systems; image transforms; image coding; stochastic models for image representation; image enhancement, restoration & reconstruction. Image analysis using multiresolution techniques.
• EE 605 INTRODUCTION TO SIGNAL ANALYSIS
  Discrete and Continuous time signals and systems, LTI systems, Convolution, Difference equations. Frequency domain representation: Fourier transform and its properties. Random discrete signals. Sampling and reconstruction: Change of sampling rate. Normed vector spaces, basis, linear independence, orthogonality. Linear systems of equations. Over- and Underdetermined systems. Row- and Column spaces, Null spaces. Least square and minimum norm solutions. Inverse and pseudo inverse, Symmetry transformations. Eigenvectors and eigenvalues. Hilbert transforms, band pass representations and complex envelope. Base band pulse transmission, matched filtering, ISI, equalization. Coherent and noncoherent detection.
• EE607 WAVELET TRANSFORMS FOR SIGNAL AND IMAGE PROCESSING
• EE 621 REPRESENTATION AND ANALYSIS OF RANDOM SIGNALS
  Review of probability, random variables, random processes; representation of narrow band signals. Transmission of signals through LTI systems; Estimation and detection with random sequences; BAYES, MMSE, MAP, ML schemes. KL and sampling theorem representations, matched filter, ambiguity functions, Markov sequences, linear stochastic dynamical systems.
• EE 624 INFORMATION AND CODING THEORY
  Entropy and mutual information, rate distortion function, source coding, variable length coding, discrete memoryless channels, capacity cost functions, channel coding, linear block codes, cyclic codes. Convolutional codes, sequential and probabilistic decoding, majority logic decoding, burst error-correcting codes.
• EE 627 SPEECH SIGNAL PROCESSING
  Spectral and non-spectral analysis techniques; Model-based coding techniques; Noise reduction and echo cancellation; Synthetic and coded speech quality assessment; Selection of recognition unit; Model-based recognition; Language modelling; Speaker Identification; Text analysis and text-to-speech synthesis.
• EE 658 FUZZYSET,LOGIC & SYSTEMS AND APPLICATIONS
  Introduction, Uncertainity, Imprecision and Vagueness, Fuzzy systems, Brief history of Fuzzy logic, Foundation of Fuzzy Theory, Fuzzy Sets and Systems, Fuzzy Systems in Commercial Products, Research Fields in Fuzzy Theory, Classical sets and Fuzzy sets, Classical Relations, Fuzzy relations, Membership Functions, Fuzzy to crisp conversions, Fuzzy arithmetic, Numbers, Vectors and the extension principle, Classical logic and Fuzzy logic, Mathematical background of Fuzzy Systems, Classical (Crisp) vs, Fuzzy sets, Representation of Fuzzy sets, Types of Membership Functions, Basic Concepts (support, singleton, height, a-cut projections), Fuzzy set operations, S-and T- Norms, Properties of Fuzzy sets, Sets as Points in Hypercube, Cartesian Product, Crisp and Fuzzy Relations, Examples, Liguistic variables and hedges, Membership function design. Basic Principles of Inference in Fuzzy Logic, Fuzzy IF-THEN Rules, Canonical Form, Fuzzy Systems and Algorithms, Approximate Reasoning, Forms of Fuzzy Implication, Fuzzy Inference Engines, Graphical Techniques of Inference, Fuzzyifications/ DeFuzzification, Fuzzy System Design and its Elements, Design options. Fuzzy Events, Fuzzy Measures, Possibility Distributions as Fuzzy Sets, Possibility vs, Probability, Fuzzy Systems as Universal Approximators, Additive Fuzzy Systems (standard additive model).
• EE 673 DIGITAL COMMUNICATION NETWORKS
  OSI model, queueing theory, physical layer, error detection and correction, data link layer, ARQ strategies, framing, media access layer, modelling and analysis of important media access control protocols, FDDI and DQDB MAC protocols for LANs and MANs, network layer, flow control & routing, TCP/IP protocols, ATM.

• EE600 MATHEMATICAL STRUCTURES OF SIGNALS & SYSTEMS
• EE602 STATISTICAL SIGNAL PROCESSING
• EE608 VIDEO SIGNAL PROCESSING
• EE698V SIMULATION OF COMMUNICATION SYSTEMS
• EE 622 COMMUNICATION THEORY
  Rate Distortion Theory, Channel Coding Theorems, Digital Modulation Schemes, Trellis Coded Modulation, Digital Transmission over Bandlimited Channels, Fading Multipath Channels, Synchronization. Analog Modulation Schemes, Optimum/ Suboptimum Receivers; Diversity Combining; Cellular Mobile Communciation; Equalization.
• EE 623 DETECTION AND ESTIMATION THEORY
  Classical Detection and Estimation Theory, Signal Representation, Detection of signals in Gaussian noise, Waveform estimation, Linear estimation problems, Wiener filtering, Kalman filtering.
• EE 646 PHOTONICS AND SWITCHING NETWORKS
• EE 670 WIRELESS COMMUNICATION
• EE 671 NEURAL NETWORKS
  Theory of representation; Two computational paradigms; Multi-layer networks; Auto-associative and hetero-associative nets; Learning in neural nets: Supervised and unsupervised learning; Application of neural nets; Neural network simulators.

• EE 601 MATHEMATICAL METHODS IN SIGNAL PROCESSING
  Generalized inverses, regularization of ill-posed problems. Eigen and singular value decompositions, generalized problems. Interpolation and approximation by least squares and minimax error criteria. Optimization techniques for linear and nonlinear problems. Applications in various areas of signal processing
• EE 604 IMAGE PROCESSING
  Human visual system and image perception, monochrome & colour vision models, colour representation ; image sampling & quantization; 2-D systems; image transforms; image coding; stochastic models for image representation; image enhancement, restoration & reconstruction. Image analysis using multiresolution techniques.
• EE 605 INTRODUCTION TO SIGNAL ANALYSIS
  Discrete and Continuous time signals and systems, LTI systems, Convolution, Difference equations. Frequency domain representation: Fourier transform and its properties. Random discrete signals. Sampling and reconstruction: Change of sampling rate. Normed vector spaces, basis, linear independence, orthogonality. Linear systems of equations. Over- and Underdetermined systems. Row- and Column spaces, Null spaces. Least square and minimum norm solutions. Inverse and pseudo inverse, Symmetry transformations. Eigenvectors and eigenvalues. Hilbert transforms, band pass representations and complex envelope. Base band pulse transmission, matched filtering, ISI, equalization. Coherent and noncoherent detection.
• EE 607 WAVELET TRANSFORMS FOR SIGNAL AND IMAGE PROCESSING
  Basics of functional Analysis; Basics of Fourier Analysis; Spectral Theory; Time- Frequency representations; Nonstationary Processes; Continuous Wavelet Transforms; Discrete Time-Frequency Transforms; Multi resolution Analysis; Time-Frequency Localization; Signal Processing Applications; Image Processing Applications
• EE 621 REPRESENTATION AND ANALYSIS OF RANDOM SIGNALS
  Review of probability, random variables, random processes; representation of narrow band signals. Transmission of signals through LTI systems; Estimation and detection with random sequences; BAYES, MMSE, MAP, ML schemes. KL and sampling theorem representations, matched filter, ambiguity functions, Markov sequences, linear stochastic dynamical systems.
• EE 624 INFORMATION AND CODING THEORY
  Entropy and mutual information, rate distortion function, source coding, variable length coding, discrete memoryless channels, capacity cost functions, channel coding, linear block codes, cyclic codes. Convolutional codes, sequential and probabilistic decoding, majority logic decoding, burst error-correcting codes.
• EE 627 SPEECH SIGNAL PROCESSING
  Spectral and non-spectral analysis techniques; Model-based coding techniques; Noise reduction and echo cancellation; Synthetic and coded speech quality assessment; Selection of recognition unit; Model-based recognition; Language modelling; Speaker Identification; Text analysis and text-to-speech synthesis.
• EE 629 DIGITAL SWITCHING
  Network Architecture; time division multiplexing; digital switching; space & time division switching, cross point and memory requirements; blocking probabilities. traffic Analysis, models for circuit and packet switched systems, performance comparison; ISDN.
• EE 658 FUZZYSET,LOGIC & SYSTEMS AND APPLICATIONS
  Introduction, Uncertainity, Imprecision and Vagueness, Fuzzy systems, Brief history of Fuzzy logic, Foundation of Fuzzy Theory, Fuzzy Sets and Systems, Fuzzy Systems in Commercial Products, Research Fields in Fuzzy Theory, Classical sets and Fuzzy sets, Classical Relations, Fuzzy relations, Membership Functions, Fuzzy to crisp conversions, Fuzzy arithmetic, Numbers, Vectors and the extension principle, Classical logic and Fuzzy logic, Mathematical background of Fuzzy Systems, Classical (Crisp) vs, Fuzzy sets, Representation of Fuzzy sets, Types of Membership Functions, Basic Concepts (support, singleton, height, a-cut projections), Fuzzy set operations, S-and T- Norms, Properties of Fuzzy sets, Sets as Points in Hypercube, Cartesian Product, Crisp and Fuzzy Relations, Examples, Liguistic variables and hedges, Membership function design. Basic Principles of Inference in Fuzzy Logic, Fuzzy IF-THEN Rules, Canonical Form, Fuzzy Systems and Algorithms, Approximate Reasoning, Forms of Fuzzy Implication, Fuzzy Inference Engines, Graphical Techniques of Inference, Fuzzyifications/ DeFuzzification, Fuzzy System Design and its Elements, Design options. Fuzzy Events, Fuzzy Measures, Possibility Distributions as Fuzzy Sets, Possibility vs, Probability, Fuzzy Systems as Universal Approximators, Additive Fuzzy Systems (standard additive model).
• EE 673 DIGITAL COMMUNICATION NETWORKS
  OSI model, queueing theory, physical layer, error detection and correction, data link layer, ARQ strategies, framing, media access layer, modelling and analysis of important media access control protocols, FDDI and DQDB MAC protocols for LANs and MANs, network layer, flow control & routing, TCP/IP protocols, ATM.

• EE 600 MATHEMATICAL STRUCTURES OF SIGNALS & SYSTEMS
  Nature of definitions; Theory of measurement and scales; Symmetry, invariance and groups; Groups in signals and systems; Algebraic and relational structures of signal spaces and convolutional systems; Representation theory of groups, harmonic analysis and spectral theory for convolutional systems.
• EE 608 VIDEO PROCESSING
• EE 622 COMMUNICATION THEORY
  Rate Distortion Theory, Channel Coding Theorems, Digital Modulation Schemes, Trellis Coded Modulation, Digital Transmission over Bandlimited Channels, Fading Multipath Channels, Synchronization. Analog Modulation Schemes, Optimum/ Suboptimum Receivers; Diversity Combining; Cellular Mobile Communciation; Equalization.
• EE 623 DETECTION AND ESTIMATION THEORY
  Classical Detection and Estimation Theory, Signal Representation, Detection of signals in Gaussian noise, Waveform estimation, Linear estimation problems, Wiener filtering, Kalman filtering.
• EE 628 TOPICS IN CRYPTOGRAPY AND CODING
  Cryptography and error control coding in communication and computing systems. Stream and block ciphers; DES; public-key cryptosystems; key management, authentication and digital signatures. Codes as ideals in finite commutative rings and group algebras. Joint coding and cryptography.
• EE 629 PHOTONICS AND SWITCHING NETWORKS
• EE 658 FUZZYSET,LOGIC & SYSTEMS AND APPLICATIONS
  Introduction, Uncertainity, Imprecision and Vagueness, Fuzzy systems, Brief history of Fuzzy logic, Foundation of Fuzzy Theory, Fuzzy Sets and Systems, Fuzzy Systems in Commercial Products, Research Fields in Fuzzy Theory, Classical sets and Fuzzy sets, Classical Relations, Fuzzy relations, Membership Functions, Fuzzy to crisp conversions, Fuzzy arithmetic, Numbers, Vectors and the extension principle, Classical logic and Fuzzy logic, Mathematical background of Fuzzy Systems, Classical (Crisp) vs, Fuzzy sets, Representation of Fuzzy sets, Types of Membership Functions, Basic Concepts (support, singleton, height, a-cut projections), Fuzzy set operations, S-and T- Norms, Properties of Fuzzy sets, Sets as Points in Hypercube, Cartesian Product, Crisp and Fuzzy Relations, Examples, Liguistic variables and hedges, Membership function design. Basic Principles of Inference in Fuzzy Logic, Fuzzy IF-THEN Rules, Canonical Form, Fuzzy Systems and Algorithms, Approximate Reasoning, Forms of Fuzzy Implication, Fuzzy Inference Engines, Graphical Techniques of Inference, Fuzzyifications/ DeFuzzification, Fuzzy System Design and its Elements, Design options. Fuzzy Events, Fuzzy Measures, Possibility Distributions as Fuzzy Sets, Possibility vs, Probability, Fuzzy Systems as Universal Approximators, Additive Fuzzy Systems (standard additive model).
• EE 670 WIRELESS COMMUNICATION
• EE 676 DIGITAL, MOBILE RADIO SYSTEMS
• EE 671 NEURAL NETWORKS
  Theory of representation; Two computational paradigms; Multi-layer networks; Auto-associative and hetero-associative nets; Learning in neural nets: Supervised and unsupervised learning; Application of neural nets; Neural network simulators.

• EE 602 STATISTICAL SIGNAL PROCESSING I
  Power Spectrum Estimation-Parametric and Maximum Entropy Methods, Wiener, Kalman Filtering, Levinson-Durban Algorithms Least Square Method, Adaptive Filtering, Nonstationary Signal Analysis, Wigner-Ville Distribution, Wavelet Analysis.
• EE 604 IMAGE PROCESSING
  Human visual system and image perception, monochrome & colour vision models, colour representation ; image sampling & quantization; 2-D systems; image transforms; image coding; stochastic models for image representation; image enhancement, restoration & reconstruction. Image analysis using multiresolution techniques.
• EE 605 INTRODUCTION TO SIGNAL ANALYSIS
  Discrete and Continuous time signals and systems, LTI systems, Convolution, Difference equations. Frequency domain representation: Fourier transform and its properties. Random discrete signals. Sampling and reconstruction: Change of sampling rate. Normed vector spaces, basis, linear independence, orthogonality. Linear systems of equations. Over- and Underdetermined systems. Row- and Column spaces, Null spaces. Least square and minimum norm solutions. Inverse and pseudo inverse, Symmetry transformations. Eigenvectors and eigenvalues. Hilbert transforms, band pass representations and complex envelope. Base band pulse transmission, matched filtering, ISI, equalization. Coherent and noncoherent detection.
• EE 621 REPRESENTATION AND ANALYSIS OF RANDOM SIGNALS
  Review of probability, random variables, random processes; representation of narrow band signals. Transmission of signals through LTI systems; Estimation and detection with random sequences; BAYES, MMSE, MAP, ML schemes. KL and sampling theorem representations, matched filter, ambiguity functions, Markov sequences, linear stochastic dynamical systems.
• EE 624 INFORMATION AND CODING THEORY
  Entropy and mutual information, rate distortion function, source coding, variable length coding, discrete memoryless channels, capacity cost functions, channel coding, linear block codes, cyclic codes. Convolutional codes, sequential and probabilistic decoding, majority logic decoding, burst error-correcting codes.
• EE 627 SPEECH SIGNAL PROCESSING
  Spectral and non-spectral analysis techniques; Model-based coding techniques; Noise reduction and echo cancellation; Synthetic and coded speech quality assessment; Selection of recognition unit; Model-based recognition; Language modelling; Speaker Identification; Text analysis and text-to-speech synthesis.
• EE 658 FUZZYSET,LOGIC & SYSTEMS AND APPLICATIONS
  Introduction, Uncertainity, Imprecision and Vagueness, Fuzzy systems, Brief history of Fuzzy logic, Foundation of Fuzzy Theory, Fuzzy Sets and Systems, Fuzzy Systems in Commercial Products, Research Fields in Fuzzy Theory, Classical sets and Fuzzy sets, Classical Relations, Fuzzy relations, Membership Functions, Fuzzy to crisp conversions, Fuzzy arithmetic, Numbers, Vectors and the extension principle, Classical logic and Fuzzy logic, Mathematical background of Fuzzy Systems, Classical (Crisp) vs, Fuzzy sets, Representation of Fuzzy sets, Types of Membership Functions, Basic Concepts (support, singleton, height, a-cut projections), Fuzzy set operations, S-and T- Norms, Properties of Fuzzy sets, Sets as Points in Hypercube, Cartesian Product, Crisp and Fuzzy Relations, Examples, Liguistic variables and hedges, Membership function design. Basic Principles of Inference in Fuzzy Logic, Fuzzy IF-THEN Rules, Canonical Form, Fuzzy Systems and Algorithms, Approximate Reasoning, Forms of Fuzzy Implication, Fuzzy Inference Engines, Graphical Techniques of Inference, Fuzzyifications/ DeFuzzification, Fuzzy System Design and its Elements, Design options. Fuzzy Events, Fuzzy Measures, Possibility Distributions as Fuzzy Sets, Possibility vs, Probability, Fuzzy Systems as Universal Approximators, Additive Fuzzy Systems (standard additive model).
• EE 673 DIGITAL COMMUNICATION NETWORKS
  OSI model, queueing theory, physical layer, error detection and correction, data link layer, ARQ strategies, framing, media access layer, modelling and analysis of important media access control protocols, FDDI and DQDB MAC protocols for LANs and MANs, network layer, flow control & routing, TCP/IP protocols, ATM.

• EE 600 MATHEMATICAL STRUCTURES OF SIGNALS SYSTEMS
  Nature of definitions; Theory of measurement and scales; Symmetry, invariance and groups; Groups in signals and systems; Algebraic and relational structures of signal spaces and convolutional systems; Representation theory of groups, harmonic analysis and spectral theory for convolutional systems.
• EE 608 VIDEO PROCESSING
• EE 622 COMMUNICATION THEORY
  Rate Distortion Theory, Channel Coding Theorems, Digital Modulation Schemes, Trellis Coded Modulation, Digital Transmission over Band limited Channels, Fading Multipath Channels, Synchronization. Analog Modulation Schemes, Optimum/ Suboptimum Receivers; Diversity Combining; Cellular Mobile Communication; Equalization.
• EE 623 DETECTION AND ESTIMATION THEORY
  Classical Detection and Estimation Theory, Signal Representation, Detection of signals in Gaussian noise, Waveform estimation, Linear estimation problems, Wiener filtering, Kalman filtering.
• EE 628 TOPICS IN CRYPTOGRAPY AND CODING
  Cryptography and error control coding in communication and computing systems. Stream and block ciphers; DES; public-key cryptosystems; key management, authentication and digital signatures. Codes as ideals in finite commutative rings and group algebras. Joint coding and cryptography.
• EE 658 FUZZYSET,LOGIC & SYSTEMS AND APPLICATIONS
  Introduction, Uncertainty, Imprecision and Vagueness, Fuzzy systems, Brief history of Fuzzy logic, Foundation of Fuzzy Theory, Fuzzy Sets and Systems, Fuzzy Systems in Commercial Products, Research Fields in Fuzzy Theory, Classical sets and Fuzzy sets, Classical Relations, Fuzzy relations, Membership Functions, Fuzzy to crisp conversions, Fuzzy arithmetic, Numbers, Vectors and the extension principle, Classical logic and Fuzzy logic, Mathematical background of Fuzzy Systems, Classical (Crisp) vs, Fuzzy sets, Representation of Fuzzy sets, Types of Membership Functions, Basic Concepts (support, singleton, height, a-cut projections), Fuzzy set operations, S-and T- Norms, Properties of Fuzzy sets, Sets as Points in Hypercube, Cartesian Product, Crisp and Fuzzy Relations, Examples, Liguistic variables and hedges, Membership function design. Basic Principles of Inference in Fuzzy Logic, Fuzzy IF-THEN Rules, Canonical Form, Fuzzy Systems and Algorithms, Approximate Reasoning, Forms of Fuzzy Implication, Fuzzy Inference Engines, Graphical Techniques of Inference, Fuzzyifications/ DeFuzzification, Fuzzy System Design and its Elements, Design options. Fuzzy Events, Fuzzy Measures, Possibility Distributions as Fuzzy Sets, Possibility vs, Probability, Fuzzy Systems as Universal Approximators, Additive Fuzzy Systems (standard additive model).
• EE 629 DIGITAL SWITCHING
• EE 643 SMART ANTENNA FOR MOBILE COMMUNICATION
• EE 670 WIRELESS COMMUNICATION
• EE679 QUEUEING THEORY
• EE698V SIMULATION OF COMMUNICATION SYSTEM
• EE698W CONVEX OPTIMIZATION IN SP/COM

• EE 601 MATHEMATICAL METHODS IN SIGNAL PROCESSING
  Generalized inverses, regularization of ill-posed problems. Eigen and singular value decompositions, generalized problems. Interpolation and approximation by least squares and minimax error criteria. Optimization techniques for linear and nonlinear problems. Applications in various areas of signal processing.
• EE602 STATISTICAL SIGNAL PROCESSING
• EE 604 IMAGE PROCESSING
  Human visual system and image perception, monochrome & colour vision models, colour representation ; image sampling & quantization; 2-D systems; image transforms; image coding; stochastic models for image representation; image enhancement, restoration & reconstruction. Image analysis using multiresolution techniques.
• EE 605 INTRODUCTION TO SIGNAL ANALYSIS
  Discrete and Continuous time signals and systems, LTI systems, Convolution, Difference equations. Frequency domain representation: Fourier transform and its properties. Random discrete signals. Sampling and reconstruction: Change of sampling rate. Normed vector spaces, basis, linear independence, orthogonality. Linear systems of equations. Over- and Underdetermined systems. Row- and Column spaces, Null spaces. Least square and minimum norm solutions. Inverse and pseudo inverse, Symmetry transformations. Eigenvectors and eigenvalues. Hilbert transforms, band pass representations and complex envelope. Base band pulse transmission, matched filtering, ISI, equalization. Coherent and noncoherent detection.
• EE 607 WAVELET TRANSFORMS FOR SIGNAL AND IMAGE PROCESSING
  Basics of functional Analysis; Basics of Fourier Analysis; Spectral Theory; Time- Frequency representations; Nonstationary Processes; Continuous Wavelet Transforms; Discrete Time-Frequency Transforms; Multi resolution Analysis; Time-Frequency Localization; Signal Processing Applications; Image Processing Applications.
• EE 621 REPRESENTATION AND ANALYSIS OF RANDOM SIGNALS
  Review of probability, random variables, random processes; representation of narrow band signals. Transmission of signals through LTI systems; Estimation and detection with random sequences; BAYES, MMSE, MAP, ML schemes. KL and sampling theorem representations, matched filter, ambiguity functions, Markov sequences, linear stochastic dynamical systems.
• EE 624 INFORMATION AND CODING THEORY
  Entropy and mutual information, rate distortion function, source coding, variable length coding, discrete memoryless channels, capacity cost functions, channel coding, linear block codes, cyclic codes. Convolutional codes, sequential and probabilistic decoding, majority logic decoding, burst error-correcting codes.
• EE627 SPEECH SIGNAL PROCESSING
• EE 673 DIGITAL COMMUNICATION NETWORKS
  OSI model, queueing theory, physical layer, error detection and correction, data link layer, ARQ strategies, framing, media access layer, modelling and analysis of important media access control protocols, FDDI and DQDB MAC protocols for LANs and MANs, network layer, flow control & routing, TCP/IP protocols, ATM.
• EE698C PEER TO PEER NETWORKS

• EE 600 MATHEMATICAL STRUCTURES OF SIGNALS SYSTEMS
  Nature of definitions; Theory of measurement and scales; Symmetry, invariance and groups; Groups in signals and systems; Algebraic and relational structures of signal spaces and convolutional systems; Representation theory of groups, harmonic analysis and spectral theory for convolutional systems.
• EE 608 DIGITAL VIDEO PROCESSING
• EE 622 COMMUNICATION THEORY
  Rate Distortion Theory, Channel Coding Theorems, Digital Modulation Schemes, Trellis Coded Modulation, Digital Transmission over Band limited Channels, Fading Multipath Channels, Synchronization. Analog Modulation Schemes, Optimum/ Suboptimum Receivers; Diversity Combining; Cellular Mobile Communication; Equalization.
• EE 623 DETECTION AND ESTIMATION THEORY
  Classical Detection and Estimation Theory, Signal Representation, Detection of signals in Gaussian noise, Waveform estimation, Linear estimation problems, Wiener filtering, Kalman filtering.
• EE626 TOPICS IN STOCHASTIC PROCESSES
• EE 629 DIGITAL SWITCHING
• EE 643 SMART ANTENNA FOR MOBILE COMMUNICATION
• EE 670 WIRELESS COMMUNICATION
• EE698V SIMULATION OF COMMUNICATION SYSTEM
• EE698W CONVEX OPTIMIZATION IN SP/COM

• EE 601 MATHEMATICAL METHODS IN SIGNAL PROCESSING
  Generalized inverses, regularization of ill-posed problems. Eigen and singular value decompositions, generalized problems. Interpolation and approximation by least squares and minimax error criteria. Optimization techniques for linear and nonlinear problems. Applications in various areas of signal processing.
• EE 604 IMAGE PROCESSING
  Human visual system and image perception, monochrome & colour vision models, colour representation ; image sampling & quantization; 2-D systems; image transforms; image coding; stochastic models for image representation; image enhancement, restoration & reconstruction. Image analysis using multiresolution techniques.
• EE 605 INTRODUCTION TO SIGNAL ANALYSIS
  Discrete and Continuous time signals and systems, LTI systems, Convolution, Difference equations. Frequency domain representation: Fourier transform and its properties. Random discrete signals. Sampling and reconstruction: Change of sampling rate. Normed vector spaces, basis, linear independence, orthogonality. Linear systems of equations. Over- and Underdetermined systems. Row- and Column spaces, Null spaces. Least square and minimum norm solutions. Inverse and pseudo inverse, Symmetry transformations. Eigenvectors and eigenvalues. Hilbert transforms, band pass representations and complex envelope. Base band pulse transmission, matched filtering, ISI, equalization. Coherent and noncoherent detection.
• EE 607 WAVELET TRANSFORMS FOR SIGNAL AND IMAGE PROCESSING
  Basics of functional Analysis; Basics of Fourier Analysis; Spectral Theory; Time- Frequency representations; Nonstationary Processes; Continuous Wavelet Transforms; Discrete Time-Frequency Transforms; Multi resolution Analysis; Time-Frequency Localization; Signal Processing Applications; Image Processing Applications.
• EE 621 REPRESENTATION AND ANALYSIS OF RANDOM SIGNALS
  Review of probability, random variables, random processes; representation of narrow band signals. Transmission of signals through LTI systems; Estimation and detection with random sequences; BAYES, MMSE, MAP, ML schemes. KL and sampling theorem representations, matched filter, ambiguity functions, Markov sequences, linear stochastic dynamical systems.
• EE 624 INFORMATION AND CODING THEORY
  Entropy and mutual information, rate distortion function, source coding, variable length coding, discrete memoryless channels, capacity cost functions, channel coding, linear block codes, cyclic codes. Convolutional codes, sequential and probabilistic decoding, majority logic decoding, burst error-correcting codes.
• EE 673 DIGITAL COMMUNICATION NETWORKS
  OSI model, queueing theory, physical layer, error detection and correction, data link layer, ARQ strategies, framing, media access layer, modelling and analysis of important media access control protocols, FDDI and DQDB MAC protocols for LANs and MANs, network layer, flow control & routing, TCP/IP protocols, ATM.

• EE 600 MATHEMATICAL STRUCTURES OF SIGNALS SYSTEMS
  Nature of definitions; Theory of measurement and scales; Symmetry, invariance and groups; Groups in signals and systems; Algebraic and relational structures of signal spaces and convolutional systems; Representation theory of groups, harmonic analysis and spectral theory for convolutional systems.
• EE 608 DIGITAL VIDEO PROCESSING
• EE 622 COMMUNICATION THEORY
  Rate Distortion Theory, Channel Coding Theorems, Digital Modulation Schemes, Trellis Coded Modulation, Digital Transmission over Band limited Channels, Fading Multipath Channels, Synchronization. Analog Modulation Schemes, Optimum/ Suboptimum Receivers; Diversity Combining; Cellular Mobile Communication; Equalization.
• EE 623 DETECTION AND ESTIMATION THEORY
  Classical Detection and Estimation Theory, Signal Representation, Detection of signals in Gaussian noise, Waveform estimation, Linear estimation problems, Wiener filtering, Kalman filtering.
• EE 627 SPEECH SIGNAL PROCESSING
  Spectral and non-spectral analysis techniques; Model-based coding techniques; Noise reduction and echo cancellation; Synthetic and coded speech quality assessment; Selection of recognition unit; Model-based recognition; Language modelling; Speaker Identification; Text analysis and text-to-speech synthesis.
• EE 643 SMART ANTENNA FOR MOBILE COMMUNICATION
• EE 609 CONVEX OPTIMIZATION IN SIGNAL PROCESSING AND COMMUNICATION
• EE 629 DIGITAL SWITCHING

• EE 340 ELECTROMAGNETIC THEORY
  Basics of Static electric and magnetic fields, Energy in fields, Maxwell’s equations, plane EM waves, Propagation in free space and in matter, Reflection and refraction, Guided EM waves, Transmission lines, Radiation of EM waves.
• EE 416 OPTO-ELECTRONICS
  LEDs, semiconductor lasers, modulation of laser sources. Avalanche and PIN photodetectors and their characteristics. Solar cells. Optical fibers and their characteristics. Integrated optics. Fiber optic communication systems, system design consideration..
• EE 441 MICROWAVES
  Active devices: LHTs, klystrons, magnetrons, TWTs, BWOs, microwave transistors; point contact, tunnel, PIN, and GUNN diodes; Parametric amplifier masers. Microwave circuits-theory of guiding systems, scattering matrix impedance transformation and matching. Passive devices: ferrites & ferrite devices, microwave cavity. 
• EE 442 ANTENNAS AND PROPAGATION
  Retarded potential, radiation from current element and dipole, radiation patterns, impedance, reciprocity. Various types of antennas, interferometers and multi-element arrays, Antenna Measurements. Ground wave propagation, terrain and earth curvature effects. Tropospheric propagation; fading, diffraction and scattering; Ionospheric Propagation-refractive index, critical frequencies, effects of magnetic field.
• EE 443 RADAR SYSTEMS
  Radar equation, CW and Frequency Modulated Radars, MTI and pulse Doppler radar, MTI delay line cancellors. MTI from moving platform, Tracking radars. Mono-pulse tracking in range/Doppler; Electronic scanning radars, Beam forming and Steering methods, Noise and Clutter; Ambiguity function; Radar signal processing; SAR.
• EE 444 RADIO ASTRONOMY
  Fundamentals of astronomy, Co-ordinate systems, Structure of the universe, Radio astronomy fundamentals, Electromagnetic wave propagation, Radio telescope Antennas, Reflector Antennas, Antenna arrays, Interferometry and aperture synthesis. Radio astronomy receivers, General principles, low noise amplifiers, digital auto-correlation receivers, Description of radio sources.

• EE 612 FIBER OPTIC SYSTEMS I
  Review of semiconductor physics - radiative recombination. LEDs, optical cavity, DH and other lasers. P-I-N and APD detectors, detector noise. Optical fibers - ray and mode theories, multimode and single-mode fibers, attenuation, dispersion. Gaussian beams. Power coupling, splices and connectors.
• EE 640 COMPUTATIONAL ELECTRO-MAGNETICS
  Review of complex variables, conformal mappings, matrix calculus; Sturm Liouville equation; Eigenvalue problem; Guiding structures; Scattering media; Green’s function approach; Variational formulation, FEM, Generalized scattering matrix and planar circuit approach.
• EE 641 ADVANCED ENGINEERING ELECTRO MAGNETICS
  Transmission line theory; Green’s function and integral transform techniques; Wave propagation and polarization parameters; reflection and transmission across an interface; waveguides, cavity resonators, scattering by cylinders, wedges, spheres etc. Geometric theory of diffraction.
• EE 642 ANTENNA ANALYSIS & SYNTHESIS
  Vector potential; antenna theorems and definitions; dipole, loop, slot radiators; aperture antennas; array theorems; pattern synthesis; self and mutual impedances; scanning antennas; signal processing antennas, travelling wave antennas; antenna measurements.
• EE 643 SMART ANTENNAS FOR MOBILE COMMUNICATIONS
  Statistical signal processing concepts, Basics of mobile wireless communications. Radio-frequency signal modeling and channel characterization. Smart antennas and generalized array signal processing. Source localization problem. Joint angle and delay estimation. Smart antenna array configurations. Mobile communication systems with smart antennas.
• EE 644 OE1 OPTICAL COMMUNICATION
• EE 645 MONOLITHIC MICROWAVE ICS
  Scattering parameters of n-ports, Conductor and dielectric losses in planar transmission lines, coupled lines, multi-conductor lines, discontinuities, GaAs MESFET fabrication devices, High electron mobility transistor, Heterojunction bipolar transistor fabrication and modeling, NMIC technology and design.
• EE 646 PHOTONIC NETWORKS AND SWITCHING
  Optical communications: Introduction to basic optical communications and devices. Optical multiplexing techniques - Wavelength division multiplexing, Optical frequency division multiplexing, time division multiplexing, code division multiplexing. Optical Networks: Conventional optical networks, SONET / SDH, FDDI, IEEE 802.3, DQDB, FCS, HIPPI etc. Multiple access optical networks, Topologies, Single channel networks, Multichannel networks, FTFR, FTTR, TTFR and TTTR, Single hop networks, Multihop networks, Multiaccess protocols for WDM networks, Switched optical networks. Optical amplification in all-optical networks. All-optical subscriber access networks. Design issues. Optical switching: Motivation, Spatial light modulator, Relational and non-relational switching devices, Fundamental limits on optical switching elements, Switching architectures, Free-space optical switching. Wavelength routed networks and other special topics. Soliton based networks, Optical networks management issues.
• EE 647 MICROWAVE MEASUREMENTS AND DESIGN
  Experiments in basic microwave measurements; passive and active circuit characterization using network analyzer, spectrum analyzer and noise figure meter; PC based automated microwave measurements; integration of measurement and design of microwave circuits.
• EE 648 MICROWAVE CIRCUITS
  Transmission lines for microwave circuits; waveguides, stripline, microstrip, slot line; microwave circuit design principles; passive circuits; impedance transformers, filters, hybrids, isolators etc., active circuits using semiconductor devices and tubes, detection and measurement of microwave signals.
• EE 649 THE FINITE ELEMENT METHOD FOR ELECTRIC AND MAGNETIC FIELDS
  Introduction: Review of Electromagnetic Theory. Introduction to the Finite Element Method using electrostatic fields: Galerkin‘s method of weighted residuals, Minimum energy principle, Calculation of capacitance, electric field, electric forces from the potential solutions. Finite Element Concepts: Pre- processing, shape functions, isoparametric elements, meshing, solvers, post- processing. finite Element Modeling: Conductive media, steady currents; Magnetostatic fields, permanent Magnest, scalar and vector potentials; Electromagnetic fields. eddy current problems, modeling of moving parts; modeling of electrical circuits. Laboratory: Matlab and Femlab simulation
• EE 673 DIGITAL COMMUNICATION NETWORKS
  OSI model, queueing theory, physical layer, error detection and correction, data link layer, ARQ strategies, framing, media access layer, modeling and analysis of important media access control protocols, FDDI and DQDB MAC protocols for LANs and MANs, network layer, flow control & routing, TCP/IP protocols, ATM.
• EE 698E QUANTUM INFORMATICS

• EE 641 ADVANCED ENGINEERING ELECTRO MAGNETICS
  Transmission line theory; Green’s function and integral transform techniques; Wave propagation and polarization parameters; reflection and transmission across an interface; waveguides, cavity resonators, scattering by cylinders, wedges, spheres etc. Geometric theory of diffraction.
• EE 645 MONOLITHIC MICROWAVE ICS
  Scattering parameters of n-ports, Conductor and dielectric losses in planar transmission lines, coupled lines, multi-conductor lines, discontinuities, GaAs MESFET fabrication devices, High electron mobility transistor, Heterojunction bipolar transistor fabrication and modeling, NMIC technology and design.
• EE 646 PHOTONIC NETWORKS AND SWITCHING
  Optical communications: Introduction to basic optical communications and devices. Optical multiplexing techniques - Wavelength division multiplexing, Optical frequency division multiplexing, time division multiplexing, code division multiplexing. Optical Networks: Conventional optical networks, SONET / SDH, FDDI, IEEE 802.3, DQDB, FCS, HIPPI etc. Multiple access optical networks, Topologies, Single channel networks, Multichannel networks, FTFR, FTTR, TTFR and TTTR, Single hop networks, Multihop networks, Multiaccess protocols for WDM networks, Switched optical networks. Optical amplification in all-optical networks. All-optical subscriber access networks. Design issues. Optical switching: Motivation, Spatial light modulator, Relational and non-relational switching devices, Fundamental limits on optical switching elements, Switching architectures, Free-space optical switching. Wavelength routed networks and other special topics. Soliton based networks, Optical networks management issues. 
• EE 647 MICROWAVE MEASUREMENTS AND DESIGN
  Experiments in basic microwave measurements; passive and active circuit characterization using network analyzer, spectrum analyzer and noise figure meter; PC based automated microwave measurements; integration of measurement and design of microwave circuits.

• EE 642 ANTENNA ANALYSIS & SYNTHESIS
  Vector potential; antenna theorems and definitions; dipole, loop, slot radiators; aperture antennas; array theorems; pattern synthesis; self and mutual impedances; scanning antennas; signal processing antennas, travelling wave antennas; antenna measurements.
• EE 648 MICROWAVE CIRCUITS
  Transmission lines for microwave circuits; waveguides, stripline, microstrip, slot line; microwave circuit design principles; passive circuits; impedance transformers, filters, hybrids, isolators etc., active circuits using semiconductor devices and tubes, detection and measurement of microwave signals.
• EE 649 THE FINITE ELEMENT METHOD FOR ELECTRIC AND MAGNETIC FIELDS
  Introduction: Review of Electromagnetic Theory. Introduction to the Finite Element Method using electrostatic fields: Galerkin‘s method of weighted residuals, Minimum energy principle, Calculation of capacitance, electric field, electric forces from the potential solutions. Finite Element Concepts: Pre- processing, shape functions, isoparametric elements, meshing, solvers, post- processing. finite Element Modeling: Conductive media, steady currents; Magnetostatic fields, permanent Magnest, scalar and vector potentials; Electromagnetic fields. eddy current problems, modeling of moving parts; modeling of electrical circuits. Laboratory: Matlab and Femlab simulation. 

• EE 641 ADVANCED ENGINEERING ELECTRO MAGNETICS
  Transmission line theory; Green’s function and integral transform techniques; Wave propagation and polarization parameters; reflection and transmission across an interface; waveguides, cavity resonators, scattering by cylinders, wedges, spheres etc. Geometric theory of diffraction.
• EE 645 MONOLITHIC MICROWAVE ICS
  Scattering parameters of n-ports, Conductor and dielectric losses in planar transmission lines, coupled lines, multi-conductor lines, discontinuities, GaAs MESFET fabrication devices, High electron mobility transistor, Heterojunction bipolar transistor fabrication and modeling, NMIC technology and design. 
• EE 647 MICROWAVE MEASUREMENTS AND DESIGN
  Experiments in basic microwave measurements; passive and active circuit characterization using network analyzer, spectrum analyzer and noise figure meter; PC based automated microwave measurements; integration of measurement and design of microwave circuits.

• EE 640 COMPUTATIONAL ELECTRO-MAGNETICS
  Review of complex variables, conformal mappings, matrix calculus; Sturm Liouville equation; Eigenvalue problem; Guiding structures; Scattering media; Green’s function approach; Variational formulation, FEM, Generalized scattering matrix and planar circuit approach.
• EE 642 ANTENNA ANALYSIS & SYNTHESIS
  Vector potential; antenna theorems and definitions; dipole, loop, slot radiators; aperture antennas; array theorems; pattern synthesis; self and mutual impedances; scanning antennas; signal processing antennas, travelling wave antennas; antenna measurements.
• EE 643 SMART ANTENNAS FOR MOBILE COMMUNICATIONS
  Statistical signal processing concepts, Basics of mobile wireless communications. Radio-frequency signal modeling and channel characterization. Smart antennas and generalized array signal processing. Source localization problem. Joint angle and delay estimation. Smart antenna array configurations. Mobile communication systems with smart antennas. 
• EE 646 PHOTONIC NETWORKS AND SWITCHING
  Optical communications: Introduction to basic optical communications and devices. Optical multiplexing techniques - Wavelength division multiplexing, Optical frequency division multiplexing, time division multiplexing, code division multiplexing. Optical Networks: Conventional optical networks, SONET / SDH, FDDI, IEEE 802.3, DQDB, FCS, HIPPI etc. Multiple access optical networks, Topologies, Single channel networks, Multichannel networks, FTFR, FTTR, TTFR and TTTR, Single hop networks, Multihop networks, Multiaccess protocols for WDM networks, Switched optical networks. Optical amplification in all-optical networks. All-optical subscriber access networks. Design issues. Optical switching: Motivation, Spatial light modulator, Relational and non-relational switching devices, Fundamental limits on optical switching elements, Switching architectures, Free-space optical switching. Wavelength routed networks and other special topics. Soliton based networks, Optical networks management issues.
• EE 648 MICROWAVE CIRCUITS
  Transmission lines for microwave circuits; waveguides, stripline, microstrip, slot line; microwave circuit design principles; passive circuits; impedance transformers, filters, hybrids, isolators etc., active circuits using semiconductor devices and tubes, detection and measurement of microwave signals.
• EE 649 THE FINITE ELEMENT METHOD FOR ELECTRIC AND MAGNETIC FIELDS
  Introduction: Review of Electromagnetic Theory. Introduction to the Finite Element Method using electrostatic fields: Galerkin‘s method of weighted residuals, Minimum energy principle, Calculation of capacitance, electric field, electric forces from the potential solutions. Finite Element Concepts: Pre- processing, shape functions, isoparametric elements, meshing, solvers, post- processing. finite Element Modeling: Conductive media, steady currents; Magnetostatic fields, permanent Magnest, scalar and vector potentials; Electromagnetic fields. eddy current problems, modeling of moving parts; modeling of electrical circuits. Laboratory: Matlab and Femlab simulation

• EE 641 ADVANCED ENGINEERING ELECTRO MAGNETICS
  Transmission line theory; Green’s function and integral transform techniques; Wave propagation and polarization parameters; reflection and transmission across an interface; waveguides, cavity resonators, scattering by cylinders, wedges, spheres etc. Geometric theory of diffraction.
• EE 645 MONOLITHIC MICROWAVE ICS
  Scattering parameters of n-ports, Conductor and dielectric losses in planar transmission lines, coupled lines, multi-conductor lines, discontinuities, GaAs MESFET fabrication devices, High electron mobility transistor, Heterojunction bipolar transistor fabrication and modeling, NMIC technology and design. 
• EE 647 MICROWAVE MEASUREMENTS AND DESIGN
  Experiments in basic microwave measurements; passive and active circuit characterization using network analyzer, spectrum analyzer and noise figure meter; PC based automated microwave measurements; integration of measurement and design of microwave circuits.

• EE 642 ANTENNA ANALYSIS & SYNTHESIS
  Vector potential; antenna theorems and definitions; dipole, loop, slot radiators; aperture antennas; array theorems; pattern synthesis; self and mutual impedances; scanning antennas; signal processing antennas, travelling wave antennas; antenna measurements.
• EE 643 SMART ANTENNAS FOR MOBILE COMMUNICATIONS
  Statistical signal processing concepts, Basics of mobile wireless communications. Radio-frequency signal modeling and channel characterization. Smart antennas and generalized array signal processing. Source localization problem. Joint angle and delay estimation. Smart antenna array configurations. Mobile communication systems with smart antennas. 
• EE 646 PHOTONIC NETWORKS AND SWITCHING
  Optical communications: Introduction to basic optical communications and devices. Optical multiplexing techniques - Wavelength division multiplexing, Optical frequency division multiplexing, time division multiplexing, code division multiplexing. Optical Networks: Conventional optical networks, SONET / SDH, FDDI, IEEE 802.3, DQDB, FCS, HIPPI etc. Multiple access optical networks, Topologies, Single channel networks, Multichannel networks, FTFR, FTTR, TTFR and TTTR, Single hop networks, Multihop networks, Multiaccess protocols for WDM networks, Switched optical networks. Optical amplification in all-optical networks. All-optical subscriber access networks. Design issues. Optical switching: Motivation, Spatial light modulator, Relational and non-relational switching devices, Fundamental limits on optical switching elements, Switching architectures, Free-space optical switching. Wavelength routed networks and other special topics. Soliton based networks, Optical networks management issues.
• EE 648 MICROWAVE CIRCUITS
  Transmission lines for microwave circuits; waveguides, stripline, microstrip, slot line; microwave circuit design principles; passive circuits; impedance transformers, filters, hybrids, isolators etc., active circuits using semiconductor devices and tubes, detection and measurement of microwave signals.
• EE 649 THE FINITE ELEMENT METHOD FOR ELECTRIC AND MAGNETIC FIELDS
  Introduction: Review of Electromagnetic Theory. Introduction to the Finite Element Method using electrostatic fields: Galerkin‘s method of weighted residuals, Minimum energy principle, Calculation of capacitance, electric field, electric forces from the potential solutions. Finite Element Concepts: Pre- processing, shape functions, isoparametric elements, meshing, solvers, post- processing. finite Element Modeling: Conductive media, steady currents; Magnetostatic fields, permanent Magnest, scalar and vector potentials; Electromagnetic fields. eddy current problems, modeling of moving parts; modeling of electrical circuits. Laboratory: Matlab and Femlab simulation

• EE 612 FIBER OPTIC SYSTEMS I
  Review of semiconductor physics - radiative recombination. LEDs, optical cavity, DH and other lasers. P-I-N and APD detectors, detector noise. Optical fibers - ray and mode theories, multimode and single-mode fibers, attenuation, dispersion. Gaussian beams. Power coupling, splices and connectors.
• EE 641 ADVANCED ENGINEERING ELECTRO MAGNETICS
  Transmission line theory; Green’s function and integral transform techniques; Wave propagation and polarization parameters; reflection and transmission across an interface; waveguides, cavity resonators, scattering by cylinders, wedges, spheres etc. Geometric theory of diffraction.
• EE 644 OE1 OPTICAL COMMUNICATION
• EE 647 MICROWAVE MEASUREMENTS AND DESIGN
  Experiments in basic microwave measurements; passive and active circuit characterization using network analyzer, spectrum analyzer and noise figure meter; PC based automated microwave measurements; integration of measurement and design of microwave circuits.
• EE 673 DIGITAL COMMUNICATION NETWORKS
  OSI model, queueing theory, physical layer, error detection and correction, data link layer, ARQ strategies, framing, media access layer, modeling and analysis of important media access control protocols, FDDI and DQDB MAC protocols for LANs and MANs, network layer, flow control & routing, TCP/IP protocols, ATM.
• EE 698E QUANTUM INFORMATICS

• EE 642 ANTENNA ANALYSIS & SYNTHESIS
  Vector potential; antenna theorems and definitions; dipole, loop, slot radiators; aperture antennas; array theorems; pattern synthesis; self and mutual impedances; scanning antennas; signal processing antennas, travelling wave antennas; antenna measurements.
• EE 640 COMPUTATIONAL ELECTRO-MAGNETICS
  Review of complex variables, conformal mappings, matrix calculus; Sturm Liouville equation; Eigenvalue problem; Guiding structures; Scattering media; Green’s function approach; Variational formulation, FEM, Generalized scattering matrix and planar circuit approach. 
• EE 648 MICROWAVE CIRCUITS
  Transmission lines for microwave circuits; waveguides, stripline, microstrip, slot line; microwave circuit design principles; passive circuits; impedance transformers, filters, hybrids, isolators etc., active circuits using semiconductor devices and tubes, detection and measurement of microwave signals.
• EE 649 THE FINITE ELEMENT METHOD FOR ELECTRIC AND MAGNETIC FIELDS
  Introduction: Review of Electromagnetic Theory. Introduction to the Finite Element Method using electrostatic fields: Galerkin‘s method of weighted residuals, Minimum energy principle, Calculation of capacitance, electric field, electric forces from the potential solutions. Finite Element Concepts: Pre- processing, shape functions, isoparametric elements, meshing, solvers, post- processing. finite Element Modeling: Conductive media, steady currents; Magnetostatic fields, permanent Magnest, scalar and vector potentials; Electromagnetic fields. eddy current problems, modeling of moving parts; modeling of electrical circuits. Laboratory: Matlab and Femlab simulation
• EE686 MICROWAVE IMAGING AND NONDESTRUCTIVE TESTING
• EE698X ADVANCED MOSFET MODELING

• EE 612 FIBER OPTIC SYSTEMS I
  Review of semiconductor physics - radiative recombination. LEDs, optical cavity, DH and other lasers. P-I-N and APD detectors, detector noise. Optical fibers - ray and mode theories, multimode and single-mode fibers, attenuation, dispersion. Gaussian beams. Power coupling, splices and connectors.
• EE 641 ADVANCED ENGINEERING ELECTRO MAGNETICS
  Transmission line theory; Green’s function and integral transform techniques; Wave propagation and polarization parameters; reflection and transmission across an interface; waveguides, cavity resonators, scattering by cylinders, wedges, spheres etc. Geometric theory of diffraction.
• EE 647 MICROWAVE MEASUREMENTS AND DESIGN
  Experiments in basic microwave measurements; passive and active circuit characterization using network analyzer, spectrum analyzer and noise figure meter; PC based automated microwave measurements; integration of measurement and design of microwave circuits.
• EE 645 MONOLITHIC MICROWAVE ICS
  Scattering parameters of n-ports, Conductor and dielectric losses in planar transmission lines, coupled lines, multi-conductor lines, discontinuities, GaAs MESFET fabrication devices, High electron mobility transistor, Heterojunction bipolar transistor fabrication and modeling, NMIC technology and design.
• EE 646 PHOTONIC NETWORKS AND SWITCHING
  Optical communications: Introduction to basic optical communications and devices. Optical multiplexing techniques - Wavelength division multiplexing, Optical frequency division multiplexing, time division multiplexing, code division multiplexing. Optical Networks: Conventional optical networks, SONET / SDH, FDDI, IEEE 802.3, DQDB, FCS, HIPPI etc. Multiple access optical networks, Topologies, Single channel networks, Multichannel networks, FTFR, FTTR, TTFR and TTTR, Single hop networks, Multihop networks, Multiaccess protocols for WDM networks, Switched optical networks. Optical amplification in all-optical networks. All-optical subscriber access networks. Design issues. Optical switching: Motivation, Spatial light modulator, Relational and non-relational switching devices, Fundamental limits on optical switching elements, Switching architectures, Free-space optical switching. Wavelength routed networks and other special topics. Soliton based networks, Optical networks management issues.
• EE 698E QUANTUM INFORMATICS

• EE 642 ANTENNA ANALYSIS & SYNTHESIS
  Vector potential; antenna theorems and definitions; dipole, loop, slot radiators; aperture antennas; array theorems; pattern synthesis; self and mutual impedances; scanning antennas; signal processing antennas, travelling wave antennas; antenna measurements.
• EE 640 COMPUTATIONAL ELECTRO-MAGNETICS
  Review of complex variables, conformal mappings, matrix calculus; Sturm Liouville equation; Eigenvalue problem; Guiding structures; Scattering media; Green’s function approach; Variational formulation, FEM, Generalized scattering matrix and planar circuit approach. 
• EE 648 MICROWAVE CIRCUITS
  Transmission lines for microwave circuits; waveguides, stripline, microstrip, slot line; microwave circuit design principles; passive circuits; impedance transformers, filters, hybrids, isolators etc., active circuits using semiconductor devices and tubes, detection and measurement of microwave signals.
• EE 649 THE FINITE ELEMENT METHOD FOR ELECTRIC AND MAGNETIC FIELDS
  Introduction: Review of Electromagnetic Theory. Introduction to the Finite Element Method using electrostatic fields: Galerkin‘s method of weighted residuals, Minimum energy principle, Calculation of capacitance, electric field, electric forces from the potential solutions. Finite Element Concepts: Pre- processing, shape functions, isoparametric elements, meshing, solvers, post- processing. finite Element Modeling: Conductive media, steady currents; Magnetostatic fields, permanent Magnest, scalar and vector potentials; Electromagnetic fields. eddy current problems, modeling of moving parts; modeling of electrical circuits. Laboratory: Matlab and Femlab simulation
• EE686 MICROWAVE IMAGING, CHARACTERIZATION AND NONDESTRUCTIVE TESTING

• EE 612 FIBER OPTIC SYSTEMS I
  Review of semiconductor physics - radiative recombination. LEDs, optical cavity, DH and other lasers. P-I-N and APD detectors, detector noise. Optical fibers - ray and mode theories, multimode and single-mode fibers, attenuation, dispersion. Gaussian beams. Power coupling, splices and connectors.
• EE 641 ADVANCED ENGINEERING ELECTRO MAGNETICS
  Transmission line theory; Green’s function and integral transform techniques; Wave propagation and polarization parameters; reflection and transmission across an interface; waveguides, cavity resonators, scattering by cylinders, wedges, spheres etc. Geometric theory of diffraction.
• EE 647 MICROWAVE MEASUREMENTS AND DESIGN
  Experiments in basic microwave measurements; passive and active circuit characterization using network analyzer, spectrum analyzer and noise figure meter; PC based automated microwave measurements; integration of measurement and design of microwave circuits.
• EE 645 MONOLITHIC MICROWAVE ICS
  Scattering parameters of n-ports, Conductor and dielectric losses in planar transmission lines, coupled lines, multi-conductor lines, discontinuities, GaAs MESFET fabrication devices, High electron mobility transistor, Heterojunction bipolar transistor fabrication and modeling, NMIC technology and design.
• EE 646 PHOTONIC NETWORKS AND SWITCHING
  Optical communications: Introduction to basic optical communications and devices. Optical multiplexing techniques - Wavelength division multiplexing, Optical frequency division multiplexing, time division multiplexing, code division multiplexing. Optical Networks: Conventional optical networks, SONET / SDH, FDDI, IEEE 802.3, DQDB, FCS, HIPPI etc. Multiple access optical networks, Topologies, Single channel networks, Multichannel networks, FTFR, FTTR, TTFR and TTTR, Single hop networks, Multihop networks, Multiaccess protocols for WDM networks, Switched optical networks. Optical amplification in all-optical networks. All-optical subscriber access networks. Design issues. Optical switching: Motivation, Spatial light modulator, Relational and non-relational switching devices, Fundamental limits on optical switching elements, Switching architectures, Free-space optical switching. Wavelength routed networks and other special topics. Soliton based networks, Optical networks management issues.
• EE 698E QUANTUM INFORMATICS

• EE 642 ANTENNA ANALYSIS & SYNTHESIS
  Vector potential; antenna theorems and definitions; dipole, loop, slot radiators; aperture antennas; array theorems; pattern synthesis; self and mutual impedances; scanning antennas; signal processing antennas, travelling wave antennas; antenna measurements.
• EE 640 COMPUTATIONAL ELECTRO-MAGNETICS
  Review of complex variables, conformal mappings, matrix calculus; Sturm Liouville equation; Eigenvalue problem; Guiding structures; Scattering media; Green’s function approach; Variational formulation, FEM, Generalized scattering matrix and planar circuit approach. 
• EE 648 MICROWAVE CIRCUITS
  Transmission lines for microwave circuits; waveguides, stripline, microstrip, slot line; microwave circuit design principles; passive circuits; impedance transformers, filters, hybrids, isolators etc., active circuits using semiconductor devices and tubes, detection and measurement of microwave signals.
• EE 649 THE FINITE ELEMENT METHOD FOR ELECTRIC AND MAGNETIC FIELDS
  Introduction: Review of Electromagnetic Theory. Introduction to the Finite Element Method using electrostatic fields: Galerkin‘s method of weighted residuals, Minimum energy principle, Calculation of capacitance, electric field, electric forces from the potential solutions. Finite Element Concepts: Pre- processing, shape functions, isoparametric elements, meshing, solvers, post- processing. finite Element Modeling: Conductive media, steady currents; Magnetostatic fields, permanent Magnest, scalar and vector potentials; Electromagnetic fields. eddy current problems, modeling of moving parts; modeling of electrical circuits. Laboratory: Matlab and Femlab simulation