syllabus of gradute courses

Sharif University of Technology

Electrical Engineering Department

2nd Edition: January 2015

Research & Graduate Study Council

Design: Saeed Mashhadi

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GGrraadduuaattee CCoouurrsseess

Sharif University of Tech., Electrical Engineering Department

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Part One: Communications Group

25088 CONVEX OPTIMIZATION 6

25089 NUM OPTIMIZATION METHODS 7

25113 ADV COMM SYSTEMS 8

25117 ELECTRONIC WARFARE 9

25118 QUEUING THEORY 11

25119 OPTICAL FIBERS 12

25124 PHOTONIC CRYSTALS 13

25126 CRYPTOGRAPHY MATH 14

25127 SPREAD SPECT COMM 16

25128 INF & CODING THEORY 17

25129 CODING THEORY 19

25133 PLL AND FREQ SYNTH 20

25135 LASER & PHOTONIC CRYSTALS 21

25136 MULTIUSER DETECTION 23

25137 BLND SRC SEP & SPARSE SGNAL 25

25138 DATA COMPRESSION 27

25139 INFORMATION HIDING 29

25146 MICROWAVE MEAS 30

25149 ADV ANTENNAS 31

25151 ADV ELECTROMAG THEORY 33

25152 OPTICAL COMM 34

25153 MICROWAVE 2 35

25154 MWAV SOLID ST DEV 36

25156 DIG SIG PROCESS 2 37

25157 DIGITAL IMAGE PROC 38

25158 FOURIER OPTICS 39

25159 SPEECH PROCESSING 41

25161 ADAPTIVE FILTERS 42

25162 SPECT ESTIMATION 43

25163 ESTIMATION THEORY 44

25164 SIGNAL PROCESSORS 45

25165 CRYPTOGRAPHY 47

25166 DETECTION THEORY 49

25167 DATA NETWORKS 50

25168 ARRAY SIGNAL PROC 52

25169 STAT OPTICAL COMM 54

25171 OPTICAL COMM NET 55

25172 ADV CRYPTOGRAPHY 56

25173 COMPUT & NET SECURITY 57

25174 ADV DATA NET 59

25175 MICROWAVE MAGNETIC DEVICE 61

25176 WAVE PROPAG WIRELESS COMM 62

25177 WIRELESS COMM NETWORKS 64


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25178 COMM SYS SIMULATION 65

25179 SPACE-TIME CODING 67

25181 RANDOM PROCESS 68

25182 MWAV ACTIVE CKT DSGN 69

25184 NONLIN MWAVE CKT 70

25185 WAVE SCATT THEORY 71

25186 NUM METD IN ELECTROMAG 72

25187 MM WAVE SLD ST DEV ---

25188 BROADBAND ACCESS 73

25189 NETWORK INF THEORY 74

25191 MOBILE COMM 75

25192 TIME FREQ REPRESEN 76

25193 SATELLITE COMM 78

25194 ADV ENG MATH 79

25195 DATA COMM & NET 80

25197 RADAR SYSTMS 82

25827 3D IMAGING 83

25828 STOCH MODELING COMM NETS 85

25829 QUANTUM INFORMATION THEOR ---

25831 PHOTONIC DEVICES 86

25832 PLASMONICS & METAMATERIALS 87

25834 MULTICAMERA VISION ---

25835 TERAHERTZ TECH 89

Part Two: Electronics Group

25228 ADV ELECTRONIC PHYS 2 ---

25229 MICROWAVE IC 91

25231 SEMICOND TECH 92

25234 ADV SOLID STATE PHYS 93

25239 OPTOELECTRONICS 94

25242 SUPER COND DEVICES 95

25243 QUANTUM TRANSPORT 96

25246 OPTICAL IC 97

25251 SUPERCON PRIN 98

25252 DATA CONV CKT DSGN ---

25253 CMOS CIR DESIGN I 99

25254 CMOS CIR DESIGN II 100

25259 ELECMAG COMPATBLTY ---

25262 DIGITAL ELECTRONIC ---

25264 SEMICOND DEV CHAR 101

25268 APPLIED QUANTUM MECHANICS 102

25269 ADV SOLID STATE DEVICES 103

25271 RF INTEGRATED CIRCUITS 104

25272 QUANTUM OPTICS 106

25273 MODELING & DESIGN OF VLSI INTERCONNECTS 107

25274 INTEGRATED FILTER DESIGN 109


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25276 SIMULATION SEM DEV 111

25277 SPINTRONIC DEVICES 112

25278 INTEGRATED POWER AMP 113

25292 ELECTN DSGN FOR HARSH ENVIRON 114

Part Three: Power Group

25309 ENG SYS RELIABILITY 118

25325 ELEC MACHINES DSGN 119

25328 ELEC MACH THEORY ---

25332 DESIGN OF ELEMENTS PWR ELEC 120

25337 PWR SYS RESTRUCT 121

25338 PWR SYS DYNAMICS 1 123

25339 PWR SYS RELIABILITY 125

25346 PWR SYS DYNAMICS 2 ---

25347 PWR SYS TRANSIENTS 126

25348 ANALYSIS OF NEW ENERGY 127

25351 POWER QUALITY 128

25353 REACTIVE PWR CONTROL 130

25355 ADV PWR SYS OP 131

25363 PWR ELECTRONICS 1 132

25365 CONTROLLED AC DRV 133

25366 HVDC & FACTS 135

25367 MODL CONTR PWR ELEC CNVRT 137

25394 RESONANT CONV & SOFT SWITCH 138

25395 ADV DIE & HI VOLT 140

25398 PWR SYS PLANNING 141

Part Four: Control Group

25426 OPTIMAL CONTROL 144

25428 LARGE-SCALE SYSTEMS 146

25441 ESTIMATION ---

25443 NEURAL NETWORKS ---

25444 SYS IDENTIFICATION ---

25446 FUZZY LOGIC & APPL 148

25447 ARTF NEURAL NET & APPL 150

25448 STOCHASTIC CONTROL ---

25449 INTELLIGENT CONTROL ---

25451 ROBOT CONTROL 1 152

25452 ROBOT CONTROL 2 153

25461 ROBUST CONTROL 154

25477 MULTI VAR CONTROL 155

25478 ADAPTIVE CONTROL 157

25479 NONLINEAR CONTROL 158

25481 MODEL PRED CONTROL 159

Part Five: Digital Systems Group


4444

25533 ADV APPL PROGRAM 162

25535 ADV COMPUTER STRUCTURE ---

25536 DIGITAL VLSI ARCHITECTURES 164

25549 FUZZY SYS 166

25553 COMPUTER VISION 169

25555 INTERNET PROGRAMING ---

25558 COMPUTER INTERFACING ---

25561 DIGITAL VLSI SYS DESIGN 171

25563 MICROPROCESSORS 2 ---

25568 VLSI DESIGN ---

Part Six: Medical Engineering Group

25617 PATTERN RECOG 174

25618 ADV BIO INSTRUMENT 175

25619 MRI SYSTEMS ---

25622 BIO INSTRUMENT 176

25625 MED IMAGE SYS 177

25626 VISION IN MAN & MACHINE ---

25631 BIO SYS MODELING ---

25632 BIO SYS CONTROL ---

25633 BIO SIGNAL PROCESS 179

25635 NEURAL MODELING ---

25636 MED ULTRASOUND 181

25637 ROBOTICS ---

25638 BIO SIGNAL PROC 2 182

25642 MED IMAGE ANAL & PROC 184


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CCoouurrssee NNuummbbeerr:: 2255008888

CCoouurrssee NNaammee:: CCOONNVVEEXX OOPPTTIIMMIIZZAATTIIOONN

Type & Max Unit: Constant 3 Course Type: Theory

Corequisite: Nothing. Prerequisite: 22035

First Presentation: S2012 Level: Graduate

Last Edition: F2012 Group: Communications

Objectives:

Topics:

• Introduction: Types of optimization, Examples, Modeling engineering problems as

optimization problem.

• Convex Sets: Affine and convex sets, Important examples, Operations that preserve

convexity, Separating and supporting hyperplanes, Dual cones and generalized

inequalities.

• Convex Functions: Basic properties and examples, Operations that preserve

convexity, Conjugate function, quasiconvex functions, Convexity and generalized

inequalities.

• Convex Optimization Problems: Convex optimization, Linear optimization, Quadratic

optimization, Geometric Programming.

• Duality: The Lagrange dual function and dual problem, Geometric interpretation,

Saddle point interpretation, Optimality conditions, Perturbation and sensitivity

analysis, Examples.

• Unconstrained Optimization Algorithms: Descent method, Gradient method,

Steepest descent method, Newton's method, Self concordance. Implementation and

numerical examples.

• Equality Constrained Optimization Algorithms: Newton's method with equality

constraints, Infeasible start Newton Method, Primal Dual Interpretation,

Implementation and numerical examples.

• Inequality Constrained Optimization Algorithms: Interior point methods, Barrier

method, Feasibility and phase I methods, Primal-dual interior-point methods,

Penalty method.

• Subgradient Method: Subgradient of a Non-differentiable function, quasigradients,

basic and projected subgradient methods.

References:


7777


CCoouurrssee NNaammee:: NNUUMM OOPPTTIIMMIIZZAATTIIOONN MMEETTHHOODDSS


Corequisite: Nothing. Prerequisite: Nothing.

First Presentation: F2009 Level: Graduate

Last Edition: Unknown. Group: Communications

Objectives:

Topics:

• Introductions.

An Introduction to Real Analysis, with Emphasis on Analysis of Multivariate

Functions, Gradient and Hessian Concepts, and Taylor Expansion of Multivariate

Functions.

An introduction to Linear Algebra and Vector Spaces.

• Introduction to Various Concepts of Optimization.

Continuous and Discrete Optimization, Unconstrained Optimization, Constrained

Optimization, Global and Local Optimization, Stochastic and Deterministic

Optimization, Concepts of Convexity and Convex Optimization.

• Unconstrained Optimization.

Basic Concepts of Unconstrained Optimization: Theory, Introduction Of two

Strategies: Trust-Region and Line-Search, Concept of Convergence Rate, Steepest

Descent and Newton Methods.

Line-Search Methods.

Conjugate Gradient Method.

Quasi-Newton Methods: DFP Method, BFGS Method (S, Goldfarb, Fletcher, Broyden,

Shanno), Broyden Family.

Solving Least-Squares Problems, Levenberg-Marquardt Algorithm.

Solving Nonlinear Equations.

• A Summary of Evolutionary Methods.

Genetic, Ant System and Particle Swarm Optimization (PSO) Algorithms.

• Constrained Optimizations.

Theory of Constrained Optimizations, Legendre Coefficients, First-Order Optimality

Conditions (KKT=Karush-Kuhn-Tucker), Second-Order Optimality Conditions.

General Principles of Nonlinear Constrained Optimization Algorithm: Gradient-

Projection, Penalty, Barrier, …

The Simplex Method for Solving Linear Programming Problems.

References:

[1] J Nocedal, S. J. Wright, Numerical Optimization, Springer, 1999.

[2] R. Fletcher, Practical Methods of Optimization, Wiley, 1989.

[3] E. K. P. Chong, S. H. Zak, An introduction to optimization, Wiley, 2001.

[4] D. G. Luenberger, Linear and Nonlinear Programming, 1984.


8888


CCoouurrssee NNaammee:: AADDVV CCOOMMMM SSYYSSTTEEMMSS


Corequisite: Nothing. Prerequisite: 25112 & 25181



Objectives: The main objectives of this course are the design of optimum or suboptimum

receives for various digital communication systems and their related performance analyses.

Topics:

• Various bandpass and low pass signal and system representations.

Signal space representations and vector space concepts.

Bandpass and Low pass random processes.

A review of Digital Modulators.

Power Spectrum of Digitally Modulated Signals.

• A brief review of detection theory (MAP and ML detections).

• Optimum detection for an ideal AWGN channel and its performance analysis.

• Optimum detection in the presence of random channel phase (Noncoherent

detection) and its performance analysis.

• Optimum detection in the presence of random channel gain and phase and its

performance analysis.

• Optimum detections in multipath channels with known and unknown channel gain

(Coherent and non coherent detections) and their performance analysis.

• Band-limited channels.

Signal design for band-limited channel for no ISI.

Signal design for controlled ISI and the related data detection.

Optimum receiver for ISI channel, ML sequence Estimation - Viterbi algorithm.

The performance analysis of MLSE.

Linear equalizer (MMSE and ZF criteria) and its performance analysis.

Decision-Feedback Equalization (MMSE and ZF criteria) and its performance analysis.

Reduced complexity MLSE.

• Fading channels.

Characterizations of fading multipath channels (channel correlation functions and

power spectra).

The effect of signal characteristics on the choice of a channel models.

Frequency nonselective, slowly fading channels (Various diversity techniques, MRC

and EGC receivers and their performance analysis).

Signaling over frequency selective slowly fading channel, Rake Receiver and its

performance analysis.

References:

[1] J. G. Proakis, M. Salehi, Digital Communication, McGraw Hill, 2008.


9999


CCoouurrssee NNaammee:: EELLEECCTTRROONNIICC WWAARRFFAARREE


Corequisite: 25197 Prerequisite: Nothing.



Objectives: To make students familiar with basic concepts of Electronic Warfare (EW),

Electronic Support (ES), and radar onboard active Electronic Attack (EA) and Electronic

Protection (EP) against it.

Topics:

• Introduction to electronic warfare (EW): Definition of electronic warfare, classic

categorization of EW, modern categorization of EW, EW placement, defense systems

architecture, missile systems, radar systems, phased arrays.

• Electronic support (ES): Introduction, antenna, ES receivers, video crystal receiver,

IFM receiver, TRF receiver, supper heterodyne receiver, channelized receiver,

compressive receiver, acousto-optic receiver, digital receiver, search, POI calculation,

ES processing, parameter measurement, deinterleaving, measuring antenna scan

parameters, threat identification, DOA measurement methods, directional antennas,

Doppler, based measurement, time-based measurement Emitter location, accuracy

of location, FDOA, TDOA.

• Onboard electronic attack and electronic protection: EA missions, noise jamming,

noise jamming equations, spot noise & barrage noise, practical considerations of

noise jamming generation, look through, EP against spot noise & barrage noise,

CFAR, ULSA, frequency agility, receiver saturation prevention, STC, burn through,

coherent processing & Doppler processing, pulse compression, time gating, using

number of radars, TV or laser, LPI jamming, back bias receiver, FTC, PWD, jamming

with swept noise or swept CW and impulsive noise, EP against swept noise, swept

CW, and impulsive noise, high dynamic range, hard limiter, Dicke Fix, gated noise

(smart noise), EP against gated noise, deception jamming, practical considerations of

deception jamming generation, VCO, DDS, DRFM, deception jamming equations,

deception jamming against search radar (false targets generation), EP techniques

against false targets, deception jamming against tracking radars, RGPO, EP

techniques against RGPO, ARGPO, EP techniques against RGPI, dual mode, velocity

deception (VGPO), EP against VGPO, AVGPO, AGC deception (count down) and

countermeasures, angle deception methods, inverse gain method and

countermeasures, modulated noise or CW technique and countermeasures, cross

polarization technique and countermeasures, skirt jamming and countermeasures,

image band jamming and countermeasures, noncoherent angle jamming, formation

jamming, blinking jamming, coherent angle jamming, cross eye jamming, terrain

bounce.


10101010

References:

[1] D. C. Schleher, Electronic Warfare in the Information Age, Artech House, 1999.

[2] D. Adamy, A First Course in Electronic Warfare, Artech House, 2001.

[3] F. Neri, Introduction to Electronic Defense Systems, Artech House, 2001.


11111111


CCoouurrssee NNaammee:: QQUUEEUUIINNGG TTHHEEOORRYY





Objectives: Introduction to basic principles, different queueing models and steady state

solutione, Introduction to Reversibility and Quasi-Reversibility, Queueing systems with

Product-Form Solution and some known Quasi-Reversible Queueing Systems, Introduction

to some approximate approaches.

Topics:

• Review on memoryless random variables, Markov processes, and NED, Cox,

HyperExp, Erlang, HyperErlang, … distributions.

• Continuous and Discrete time Markov chains.

• Transient and Steady-state (Equilibrium) solutions for Markov chains (Chapman-

Kolmogrov equations, Global Balance Equations, Local Balance Equations, Detailed

balance Equations, Cross Balance equations, …).

• Steady state analysis of Queueing Systems: Little's Law, Markovian Queueing

Systems (M/M/1, M/M/K, M/M/∞, M/M/K/K, …, Erlang B, C), Semi-Markovian

Queueing systems (M/G/1, G/M/1, …), Non-Markovian queueing systems (G/G/1, …),

Service Policies and Priority Queueing (FCFS, LCFS, PS, HOL, …), Practical Examples.

• Some approximate approaches for queueing systems (Fluid Model, Diffusion, …).

• Time-reversibility and Quasi-reversibility.

• Queueing Networks of Quasi-reversible Nodes (Product-Form Solution).

• Jackson and BCMP Queueing Networks.

• Some Applications in Communication Networks.

References:

[1] G. Bolch, S. Greiner, H. D. Meer, K. S. Trivedi, Queueing Networks and Markov

Chains, John Wiley & Sons, 1998.

[2] L. Kleinrock, Queueing Systems, John Wiley & Sons, 1976.

[3] X. Chao, M. Miyazawa, M. Pinedo, Queueing Networks, John Wiley & Sons, 1999.

[4] J. Y. L. Boudec, P. Thiran, Network Calculus, 2011.


12121212


CCoouurrssee NNaammee:: OOPPTTIICCAALL FFIIBBEERRSS





Objectives: Introduction to foundations and principles of electromagnetic wave radiation

with optical frequency in dielectric waveguide specially optical fibers, types of optical fiber,

different issues of propagations such as losses, scattering and how to use them efficiency in

optical links, methods and optical fibers manufacturing technologies, measurement of

optical fiber parameters and finally different applications of optical fiber.

Topics:

• Introductions.

• Dielectric Slab Waveguide.

• Step-Index Fiber.

• Graded- Index Fiber.

• Optical Fiber Manufacturing.

• Measurement of Fiber and Optical Cables Characteristics.

• Optical Fiber Applications and Link Design.

References:

[1] H. Cherin, An Introduction to Optical Fibers, McGraw-Hill, 1985.

[2] Ghatak, K. Thyagarajan, Introduction to Fiber Optics, Cambridge University, 1998.

[3] D. Marcuse, Light Transmission, Van Nostrand, 1985.

[4] G. Keiser, Optical Fiber Communications, McGraw-Hill, 2010.

[5] J. Senior, Optical Fiber Communications: Principles & Practice, Prentice Hall, 1992.

[6] J. Gowar, Optical communication systems, Prentice Hall, 1993.

[7] G. P. Agrawal, Fiber-optic communication systems, Wiley, 2002.

[8] W. V. Etten, J. Van Der Plaats, Fundamentals of Optical Fiber Communications,

Prentice Hall, 1993.

[9] K. Okamoto, Fundamentals of optical waveguides, Academic Press, 2000.


13131313


CCoouurrssee NNaammee:: PPHHOOTTOONNIICC CCRRYYSSTTAALLSS





Objectives: Introduction and complete acquaintance with periodic structures and Photonic

Crystals in this course is scheduled. Students will be able to numerical and theoretical

analyzing of devices based on photonic crystals such as Cavities, Waveguides, Optic Couplers

with some methods and Eventually They’ll Become Familiar with Quantum Phenomenons in

Photonic Crystals Structures and Devices.

Topics:

• An Overview of Electromagnetic of Inhomogenous spaces.

• Wave Propagation in One Dimensional Inhomogenous Systems.

• One-Dimensional Periodic Structure.

• Two-Dimensional Periodic Structure.

• Inverse Network.

• Bloch’s Theorem and Plane-Wave Expansion.

• Modified Plane-Wave Expansion and Finite Differences.

• Other Numerical Methods and Defects in Networks.

• Coupled Cavity Waveguide and Wiener Functions.

• Photonic Crystals Structure Analysis using Wiener Functions and Eigenmodes.

• Phase and Group Velocity and the Retarded Green’s Function.

• Group Theory for Two Dimensional.

• Dipole Radiation in the Photonic Crystals.

• Principles of Quantum Optics of Photonic Crystals, Squeezed States and Lamb Shift.

References:

[1] K. Sakoda, Optical Properties of Photonic Crystals, Springer-Verlag, 2001.


14141414


CCoouurrssee NNaammee:: CCRRYYPPTTOOGGRRAAPPHHYY MMAATTHH





Objectives: This course gives students the mathematical backgrounds which are used in

many modern cryptographic algorithms and protocols.

Topics:

• An Overview on Computational Complexity Theory and Its Application in

Cryptography.

• Number Theory.

Modular Arithmetic, Fermat’s Theorems, Euler’s Theorem, Chinese Reminder

Theorem.

Prime Numbers (Generation Methods and Primarily Testing).

Introducing Various Methods for Factoring Integers.

Primitive Roots, Jacobi and Legendre Symbols, Discrete Logarithm Problem and

Related Concepts.

• Group, Ring and Fields.

Cosets and Equivalence Relations in Groups.

Normal Subgroups and Quotient Groups.

Polynomial Ring, Ideals and Quotient Rings.

Finite Fields (Properties and Generation Methods).

Field Extension, Polynomials over Fields.

• Introducing and Analysis of Merkle-Hellman, RSA and ElGamal Cryptosystems.

• Homomorphic Encryption.

• Elliptic Curves and Their Application in Cryptography.

Basic Facts, Elliptic Curve Cryptosystems.

• Boolean Functions.

Desirable Properties of Boolean Functions in Cryptography, Introducing Some of the

Boolean Function Generation Methods.

• Complementary Topics.

Lattice and Cryptology, Latin Squares, Projective Geometry, Secret Sharing Schemes,

Zero Knowledge Proofs.

References:

[1] J. A. Anderson, J. M. Bell, Number Theory with Applications, Prentice Hall, 1997.

[2] N. Koblitz, A Course in Number Theory and Cryptography, Springer-Verlag, 1987.

[3] A. J. Menezes, Handbook of Applied Cryptography, CRC-Press, 1996.

[4] N. Koblitiz, Algebraic Aspects of Cryptography, Springer-Verlag, 1999.

[5] R. Lidl, Introduction to Finite Fields and their Applications, Cambridge, 1986.


15151515

[6] D. M. Bressoud, Factorization and Primality Testing, Springer-Verlag, 1989.

[7] S. Samuel, Jr. Wagstaff, Cryptanalysis of Number Theoretic Ciphers, Chapman &

Hall/CRC, 2003.

[8] Elliptic Curves Number Theory and Cryptography, Chapman & Hall/CRC, 2003.

[9] D. R. Stinson, Cryptography Theory and Practice, Chapman & Hall/ CRC, 2006.

[10] J. Hoffstein, J. Pipher, J. H. liverman, An Introduction to Mathematical Cryptography,

Brown University, 2004.


16161616


CCoouurrssee NNaammee:: SSPPRREEAADD SSPPEECCTT CCOOMMMM





Objectives: Introduction to Concepts of Spread Spectrum (S.S.) Systems, Synchronization in

these Systems (Acquisition and Tacking), Spectrum Spreading (Pseudo Random Sequences),

Performance of These Systems in Jamming and …

Topics:

• An Overview of Concepts, A Brief Introduction to S.S. Systems.

• Direct-Sequence (DS), (BPSK, QPSK), Frequency-Happing (FH), Time-Hopping (TH)

and Hybrid, Spread Spectrum Systems.

• Generating PN (Pseudo Noise) Sequences Using LFSR.

• PLL (Phase-Locked Loop).

• Code Tracking Loops.

• Initial Synchronization: Acquisition.

• Performance of S.S. Systems in Jamming.

• Code-Division Multiple Access (CDMA).

• CDMA Network Capacity.

References:

[1] R. Peterson, R. Ziemer, D. E. Borth, Introduction to Spread Spectrum

Communications, Prentice-Hall, 1995.

[2] A. W. Lam, S. Tantaratana, Theory and Applications of Spread Spectrum Systems,

IEEE, 1994.

[3] A. Viterbi, CDMA, Principles of Spread Spectrum Communications, Addison-Wesley,

1995.

[4] D. Torrieri, Principles of Spread Spectrum Communication Systems, Springer, 2005.

[5] M. Simon, J. Omura, R. Scholtz, B. Levitt, Spread Spectrum Communications,

Computer Science Press, 1985.

[6] S. Glisic, P. Leppanen, Code Division Multiple Access Communications, Kluwer

Academic, 1995.


17171717


CCoouurrssee NNaammee:: IINNFF && CCOODDIINNGG TTHHEEOORRYY





Objectives: Introduction to Shannon and information theory concepts, such as entropy, AEP,

mutual information, Stationary and ergodic sources and optimal codes. Shannon theory and

information theory applications, including source coding, channel capacity, Data networks.

Topics:

• Introduction, Information Measurement (Mutual Information, Entropy).

• Asymptalic Equiporthies Property (AEP), Stationary and Ergodic Sources, Stationary

Entropy and Entropy of Markov Sources.

• Data Compression (Source Coding), Uniquely Decodable Codes, Instantaneous

Codes, Optimal Codes (Huffman Codes), Shannon's First Theorem, Sub-Optimal

Codes.

• Discrete Memoryless Channels (DMC), Channel Capacity, Special Channels,

Shannon's Second Theorem (The fundamental Theorem of Information Theory),

Fano’s Inequality and the Converse to the Coding Theorem.

• Gaussian Channels, Capacity, Shannon's Second Theorem, Parallel Channels,

Feedback Channels.

• Network Information Theory.

• Typical Sequences.

• Two-Way Channel (TWC), Interference Channel (IFC).

• Multiple-Access Channels (MAC).

• Encoding of Correlated Sources and Duality with Slepian–Wolf.

• Broadcast Channel (BC).

• Relay Channel.

• Source Coding with Side Information.

• General Information Networks.

References:

[1] T. M. Cover, J. Thomas, Elements of Information Theory, John Wiley, 2006.

[2] R. Ash, Information Theory, John Wiley, 1965.

[3] R. Gallager, Information Theory and Reliable Communication, John Wiley, 1968.

[4] I. Csiszar, J. Korner, Information Theory: Coding Theorems for Discrete Memoryless

Systems, Academic Press, 1981.

[5] R. Yeung, A First Course in Information Theory, Kluwer Academic, 2002.

[6] C. E. Shannon, A Mathematical Theory of Communication, Bell Tech. J., 1948.

[7] D. Slepian, Key Papers in the Development of Information Theory, IEEE, 1974.


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[8] E. Van Der Meulen, A Survey of Multiway channels in Information Theory: 1961-

1976, IEEE Trans. Inform. Theory, 1977.

[9] S. Verdu, Fifty Years of Shannon Theory, IEEE Trans. Inform. Theory, 1998.

[10] T. M. Cover, Comments on Broadcast Channels, IEEE Trans. Inform. Theory, 1998.

[11] G. Kramer, Topics in Multi-user Information Theory, Foundation and Trends in

Communications and Information Theory, 2008.

[12] A. El Gamal and Y.-H. Kim, Lecture Notes on Network Information Theory, Cambridge

Press, 2012.


19191919


CCoouurrssee NNaammee:: CCOODDIINNGG TTHHEEOORRYY





Objectives: The introduction to Basic Black and convolutional channel codes and their

related decoders, along with their performance analysis are the main objective of this

course. Further a brief introduction to Trellis coded modulation (TCM) is also presented.

Topics:

• A brief introduction to coding channel model, channel capacity.

• A brief review of modern algebra (Finite fields and their instructions and properties,

vector space on finite field).

• Linear Block codes (generator and Parity-check matrixes, Hamming distance, error

correcting and error detecting capabilities, standard syndrome decoding,

performance analysis, Hamming Codes).

• Cyclic Codes (generator and parity-check polynomials, encoder structure, syndrome

calculation, the burst error correcting and detecting capabilities of the code).

• Important Cyclic Codes (BCH codes, Reed Solomon Codes, Bounded Distance

Decodings, …).

• Convolutional Codes (encoder structure, Distance properties, State Diagram,

Modifies state diagram, Maximum Likelihood Decoder, Viterbi algorithm,

performance analysis…).

• Trellis Coded Modulation (TCM).

References:

[1] S. Lin, D. J. Costello, Error Control Coding, Pentice-Hall, 2004.


20202020


CCoouurrssee NNaammee:: PPLLLL AANNDD FFRREEQQ SSYYNNTTHH





Objectives:

Topics:

• Introduction.

• Applications and main parameters.

• Direct and indirect frequency synthesizers.

• Loop components (phase detectors, VCO, dividers and loop filters).

• Linear analysis, transient and stability of 1st, 2nd and 3rd order loops.

• Phase noise and phase noise measurement techniques.

• Noise analysis.

• Analog and digital phase locked loops.

• Nonlinear analysis and tracking.

• Other types of frequency synthesizers (direct digital, fractional and multi-loop).

• PLL as modulator and demodulator.

• Phase locking by injection and inter-injection locking.

• Introduction, Information Measurement (Mutual Information, Entropy).

• Asymptalic Equiporthies Property (AEP), Stationary and Ergodic Sources, Stationary

Entropy and Entropy of Markov Sources.

• Data Compression (Source Coding), Uniquely Decodable Codes, Instantaneous

Codes, Optimal Codes (Huffman Codes), Shannon's First Theorem, Sub-Optimal

Codes.

References:


21212121


CCoouurrssee NNaammee:: LLAASSEERR && PPHHOOTTOONNIICC CCRRYYSSTTAALLSS





Objectives:

Topics:

• Foundations of Laser and Optic.

In the First Part Basic Concepts of Laser, Propagation and Laser Radiation

Applications in objects in the form of Guided Ware and Bulk Mode will be evaluated.

Different Types of Lasers including Solid State, Gas and Semiconductor will be

evaluated.

In this Part we will learn to Analyze the Laser Radiation in the form of Natural Light

or Guided Wave and we would more concentrate on semiconductor lasers as all-

purpose case of lasers.

Such cases will be discussed.

Basic Concepts of Lasers.

Semiconductor Laser Diodes.

Attraction and Dispatch.

Lasing Profile of Fabry-Perot Lasers.

Single-Mode Laser Structure.

Scalar Wave Equation and Refraction in Laser Radiation.

TEM Wave Analysis in Laser Structure.

• Photonic Crystals and their Properties.

In the Second Part Photonic Crystals as Pyramid Structure Which Usually use Band

Gap Properties will be studied.

Photonic Crystal Analysis based on Bloch-Floquet.

Such cases will be discussed.

Introduction of Photonic Crystals.

Special Modes of Photonic Crystals.

Symmetry of Special Modes.

Transfer Spectrum.

Optical Response of Photonic Crystals.

Defect Modes in Photonic Crystals.

Approximate Methods for Photonic Structure Analysis.

Accurate and Vector Methods Periodic and Photonic Structure Analysis.

References:

[1] H. Ghafouri, The principal of semiconductor Laser diode & Amplifiers, Imperial

college press, 2004.


22222222

[2] A. Yariv, Optical electronics, 1985.

[3] K. Petermann, Laser diodes modulation & Noise, 1991.

[4] W. Chang, Principles of laser & optics, Cambridge university press, 2005.

[5] K. Yeyumoto, Electromagnetic Theory and Application for Photonic crystals, 2006.

[6] K. Ilzuka, Elements of Photonics, Wiley, 2002.


23232323


CCoouurrssee NNaammee:: MMUULLTTIIUUSSEERR DDEETTEECCTTIIOONN


Corequisite: 25763 Prerequisite: 25113



Objectives: Introduction to multiuser detection concepts in different communication

circumstances and comparison among various MUD architectures.

Topics:

• Multi Access Communications.

The Multi Access Channel.

FDMA, TDMA & CDMA.

Random Multi Access.

• Code Division Multi Access Channel.

Synchronous & Asynchronous CDMA Model.

Signature Waveforms.

Data Streams.

Modulation.

Fading.

Discrete Time Synchronous & Asynchronous Models.

• Single User Matched Filter.

Hypothesis Testing.

Optimal Receiver & The Matched Filter.

Asymptotic Multiuser Efficiency.

Rayleigh Fading.

Differentially Coherent Demodulation.

Noncoherent Demodulation.

• Optimum Multiuser Detection.

Synchronous Channels.

Asynchronous Channels.

Minimum Error Probability In The Synchronous Channel.

Optimum Asymptotic Efficiency & Near Far Resistance.

Minimum Error Probability In The Asynchronous Channel.

Optimum Noncoherent Multiuser Detection.

• Decorrelating Detector.

Synchronous & Asynchronous Channels.

Truncated Window Decorrelating Detector.

Approximate Decorrelator.

Performance Analysis.

Coherent Decorrelator In Presence Of Fading.

Differentially Coherent Decorrelation.


24242424

Decorrelation For Nonlinear Modulation.

• Non-Decorrelating Linier Multi User Detection.

Optimum Linier Multi User Detection.

MMSE Linier Multi User Detection.

Performance Of MMSE Linier Multi User Detection.

Adaptive MMSE Linier Multi User Detection.

Canonical Representation.

Blind MMSE Linier Multi User Detection.

• Decision Driven Multi User Detection.

Successive Cancellation.

Performance Analysis Of Successive Cancellation.

Multi Stage Detection.

Continuous time Tentative Decision.

Decision Feedback Multiuser Detection.

References:

[1] S. Verdu, Multiuser Detection, Cambridge University Press, 1998.

[2] M. L. Honig, Advances in Multiuser Detection, Wiley, 2009.

[3] P. Castoldi, Multiuser Detection In CDMA Mobile Terminals, Artech House, 2008.

[4] C. Schlegel, A. Grant, Coordinated Multiuser Communications, Springer, 2006.


25252525


CCoouurrssee NNaammee:: BBLLNNDD SSRRCC SSEEPP && SSPPAARRSSEE SSGGNNAALL





Objectives:

Topics:

• Mathematical preliminaries.

Some topics from linear algebra.

Topics from probability theory and statistics: Independence, Central Limit Theorem

and Cramér’s decomposition theorem, A few characterization theorems in statistics,

probability density function estimation, Higher Order Statistics (HOS) and cumulants.

Principal Component Analysis (PCA).

A brief review on estimation theory: Maximum likelihood (ML) and Maximum A

Posteriori (MAP) Estimation, Cramér-Rao lower bound.

Topics from information theory: Entropy and mutual information.

Topics from numerical optimization: steepest descent, Newton, Gradient-Projection.

• Blind Source Separation (BSS) and Independent Component Analysis (ICA).

Historical points and applications.

Geometrical interpretation (Pountonet’s method for BSS).

Separating linear instantaneous mixtures: Approaches based on independence: for

example, Lacoume’s method, methods based on 4th order cumulants, methods

based on mutual information and entropy, Approaches based on non-Gaussianity:

for example Fast ICA, Semi-blind approaches: for example methods based on time-

correlation (SOBI and TDSEP), methods based on non-stationarity, methods based on

sparsity and Sparse Component Analysis (SCA).

Equivariancy in BSS and EASI algorithm.

Convolutive mixtures.

Non-linear mixtures: for example Post Non-Linear (PNL) mixtures.

• Sparse Signal Representation.

Atomic decomposition and sparse signal representation.

Sparse Component Analysis (SCA).

Sparse solutions of underdetermined systems of linear equations and their

applications: Compressed Sensing (CS), Blind separating sparse signals, image

denoising, real-field codes, sparse channel estimation, etc.

Conditions for uniqueness of the sparse solution.

Stability issues of the sparse solution.

Algorithms for finding the sparse solution: Methods based on L0 and L1 norms,

Iterative reweighting methods, Greedy methods.

Low-rank matrix completion, Robust PCA and their applications.


26262626

References:

[1] Hyvarinen, Karhunen, Oja, Independent Component Analysis, John wiley, 2001.

[2] S. Haykin, Unsupervised Adaptive Filters, volume 1: Blind Source Separation, John

Wiley, 2000.

[3] M. Elad, Sparse and Redundant Representations: From Theory to Applications in

Signal and Image Processing, Springer, 2010.


27272727


CCoouurrssee NNaammee:: DDAATTAA CCOOMMPPRREESSSSIIOONN





Objectives:

Topics:

• An Introduction to Applications of Signal Compression, Lossy and Lossless Methods.

• An Overview of Information Theory.

• Design of Hoffman Codes.

Design of Minimum Variance Codes.

Adaptive.

• Arithmetic Coding.

Design of Encoder and Decoder.

Applications in Binary Image Compression – JBIG (Joint Bi-level Image Experts

Group).

Applications in Non-Binary Image Compression – JPEG (Joint Photographic Experts

Group).

• Universal Coding.

LZW.

Applications in File Compression and GIF Standard and V.4z bis Modem.

• Other Methods of Lossless Compression.

Run Length Coding.

Facsimile Standards.

• Rate Distortion Theory of Shannon.

• Quantization.

Scalar – Lloyd – Max.

Vector – K-Means.

Applications.

• Differential Encoding.

DPCM.

ADPCM.

DM.

Standards.

• Sub band Coding.

• Speech Methods and Speech Standards, MPEG.

• Transform Coding.

KLT.

DCT.

Wavelet and …


28282828

Applying for JPEG, MPEG and H.264.

• Speech, Image and Video Compression Methods.

References:

[1] A. Gersho, R. Gray, Vector Quantization and Signal Compression, Kluwer.

[2] Kh. Sayood, Introduction to Data Compression, Morgan Kanfmann Publishers.

[3] Th. Cover, J. Thomas, Elements of Information Theory, Wiley.


29292929


CCoouurrssee NNaammee:: IINNFFOORRMMAATTIIOONN HHIIDDIINNGG


Corequisite: Nothing. Prerequisite: 25181 or 25155



Objectives: Introduction to Structural Analysis of Multimedia Signals as Message Transfer

Channel, Watermarking, Steganography, Steganalysis, Capacity Analysis in Compressed

Domain.

Topics:

• Fundamentals of Information Hiding and applications.

• Structural review of multimedia signals for Information Hiding.

• Algorithmic analysis of cover signals in compressed domain for message embedding.

• Study of methods for steganography and watermarking (fragile, semi-fragile, robust).

• Analysis of intentional and non-intentional attacks in watermarking.

• Steganalysis based on machine learning and statistical analysis.

• Detection and extraction of message in steganography and watermarking.

• Study of human visual system in Information Hiding.

References:

[1] S. Katzenbeisser, F. Petitcolas, Information Hiding Techniques for Steganography and

Digital Watermarking.

[2] I. Cox, M. Miller, J. Bloom, Digital Watermarking and Steganography.

[3] N. F. Johnson, S. Jajodia, Z. Duric, Information Hiding: Steganography and

Watermarking - Attacks and Countermeasures.

[4] P. Wayner, Disappearing Cryptography: Information Hiding: Steganography and

Watermarking.


30303030


CCoouurrssee NNaammee:: MMIICCRROOWWAAVVEE MMEEAASS





Objectives:

Topics:

• Introduction.

• Transmission lines (coaxial cables and other guided waves).

• Accessories (connectors, couplers, power dividers, signal generators).

• Power measurement.

• Scattering parameters.

• Scalar and vectorial network analyzers.

• Calibration techniques for network analysis.

• Spectrum measurement principle and spectrum analyzers.

• Noise figure measurement.

• Phase noise and measurement techniques.

• Nonlinear measurement of microwave circuits.

References:

[1] V. Teppati, Modern RF and Microwave Measurement Techniques.

[2] R. Collier, Microwave Measurements.

[3] J. P. Dunsmore, HANDBOOK OF MICROWAVE COMPONENT MEASUREMENTS.

[4] Carvalho, Schreurs, Microwave and Wireless Measurement Techniques.


31313131


CCoouurrssee NNaammee:: AADDVV AANNTTEENNNNAASS





Objectives:

Topics:

• Antenna Fundamentals: Maxwell's equations, vector potentials, radiation integrals,

dipole antenna, vector effective length, effective aperture, antenna polarization,

antenna noise temperature, noise calculations in radio links.

• Fundamental Theorems in Electromagnetics: duality and Babinet principles, image

theory, equivalence principle, physical optics approximation, reciprocity theorem,

Stratton-Chu theorem, Sommerfeld radiation condition.

• Antenna Current and Impedance: self- and mutual impedances, induced EMF

method, variational expression for impedance, Storer’s method, Pocklington and

Hallén integral equations, numerical solution with the method of moments, radiation

pattern and admittance of loop antennas.

• Analysis and Synthesis of Antenna Arrays: antenna array fundamentals,

characteristics of linear and planar arrays, sum and difference patterns, effect of

mutual couplings, phased array antennas, scan principles, array synthesis

techniques: Fourier series method, Woodward-Lawson sampling method, Dolph-

Chebyshev method, Taylor synthesis, Orchard-Elliott-Stern synthesis, Bayliss

synthesis of difference pattern.

• Aperture Antennas: general formulation of radiation from apertures, radiation from

rectangular and circular apertures, analysis of slots on rectangular waveguides

• Horn Antennas: analysis and design of sectoral, pyramidal, and conical horns,

corrugated and dual mode horns.

• Reflector and Lens Antennas: corner reflector, paraboloidal reflector, methods of

analysis (geometrical optics and physical optics), dual reflector antennas (Cassegrain

and Gregorian configurations), offset fed reflector antenna, design of dielectric lens

antennas, inhomogeneous lenses.

• Introduction to Microstrip Antennas: rectangular patch antenna, cavity and

transmission line models, circular patch antenna.

References:

[1] W. L. Stutzman, G. A. Thiele, Antenna Theory and Design, John Wiley & Sons, 2012.

[2] R. S. Elliott, Antenna Theory and Design, IEEE Press, 2003.

[3] R. E. Collin, Antennas and Radiowave Propagation, McGraw-Hill, 1985.

[4] T. A. Milligan, Modern Antenna Design, John Wiley & Sons, 2005.

[5] C. A. Balanis, Antenna Theory Analysis and Design, John Wiley & Sons, 2005.


32323232

[6] R. E. Collin, F. J. Zucker, Antenna Theory, part I & II, McGraw-Hill, 1969.

[7] R. L. Haupt, Antenna Arrays, John Wiley & Sons, 2010.

[8] D. G. Fang, Antenna Theory and Microstrip Antennas, CRC Press, 2010.


33333333


CCoouurrssee NNaammee:: AADDVV EELLEECCTTRROOMMAAGG TTHHEEOORRYY





Objectives: Learn more about Electromagnetic Theory, principles and theorems in order to

deep understanding and creating ability to research and solving more complex problems

compared with the problems in previous courses.

Topics:

• An overview of fundamental subjects including Maxwell equations in time and

frequency domain, basic relations and introduction of different environments,

boundary conditions, scalar, vector and Hertz potentials, sources and etc.

• Important theorems, including Poynting, uniqueness, image, equivalent currents,

induction and equivalence.

• The methods of solving using potential functions and TE & TM polarization.

• Plane wave: scalar wave equation solution in Cartesian coordinate system,

conducting rectangular waveguides and resonators (cavity), dielectric slab

waveguide and surface-guided waves, waveguide discontinuities, mode matching

method and Fourier method.

• Cylindrical wave: scalar wave equation solution in cylindrical coordinate system,

conducting radial and cylindrical waveguides and resonators (cavity), dielectric

cylindrical and radius waveguides, scattering by conducting and dielectric cylinders,

radiation of sources in the vicinity of cylindrical structures.

• Spherical wave: scalar wave equation solution in spherical coordinate system,

conducting spherical and conical resonators (cavity) and waveguides, scattering by

sphere, radiation of sources in the vicinity of spherical and conical structures.

References:

[1] R. F. Harrington, Time-Harmonic Electromagnetic Fields, IEEE reprint, 2001.

[2] J. M. Jin, Theory and Computation of Electromagnetic Fields, IEEE Press, 2010.

[3] C. A. Balanis, Advanced Engineering Electromagnetics, Wiley, 1989.

[4] A. Ishimaru, Electromagnetic Wave Propagation, Radiation and Scattering, Prentice-

Hall, 1991.

[5] R. E. Collin, Field Theory of Guided Waves, IEEE Press, 1991.

[6] J. A. Stratton, Electromagnetic Theory, McGraw-Hill, 1941.

[7] J. A. Kong, Electromagnetic Wave Theory, EMW Publishing, 2000.


34343434


CCoouurrssee NNaammee:: OOPPTTIICCAALL CCOOMMMM



First Presentation: F1987 Level: B.Sc. or M.Sc.


Objectives: Introduction to the systematic view on the optical fiber communications.

Topics:

• Optical Fibers.

• Optical Transmitters.

• Optical Receivers.

• Lightwave Systems.

• Optical Amplifiers.

• Dispersion.

• Multiband Systems.

• Soliton Systems.

• Coherent Lightwave Systems.

References:

[1] G. P. Agrawal, Fiber Optic Communication Systems, Wiley, 2002.

[2] J. M. Senior, Optical Fiber Communications, Prentice Hall, 1992.

[3] A. Ghatak, K. Thyagarajan, Introduction to Fiber Optics, Cambridge, 1998.

[4] G. Einarsson, Principles of Lightwave Communications, Wiley, 1996.

[5] W. Etten, J. Plaats, Fundamentals of Optical Fiber Communications, Prentice Hall,

1991.

[6] W. Pratt, Laser Communication Systems, Wiley, 1969.


35353535


CCoouurrssee NNaammee:: MMIICCRROOWWAAVVEE 22





Objectives:

Topics:

• Overview of Propagation environments and their parameters.

Introduction of planar environments.

Introduction of Microstrip Propagation Environment, Impedance Characteristic

Relations and Losses in Them.

Analysis of Different Types of Discontinuities in Microstrip Lines.

Analysis of Common Microstrip Circuits (Directional Coupler, Power Divider, 90’ and

180’ Hybrids and Lange Coupler).

• Microwave Filters.

An Introduction to Prototype Filter Design Chebyshev and Butterworth Responses.

Frequency and Impedance transformations.

Richard’s Transformation and Kuroda’s Transformation.

Impedance and Admittance Inverters.

Microstrip Low Pass Filter using Stubs and Step Impedance.

Band Pass Filter design using Stubs.

Half Wave Length Band Pass Filter.

Waveguide Band Pass Filters.

Inductive Aperture Analysis in Rectangular Waveguide(Mode-Matching Method and

solution of Integral Equation).

• Analysis Planar wave Propagation Environment.

Quasi-TEM Analysis of Close and Open Microstrip Lines.

Finite Difference Method for the solution of Laplace Equation.

Conformal Mapping Method for the solution of Laplace Equation.

Spectral-Domain Method for Microstrip Line Analysis.

References:

[1] D. M. Pozar, Microwave Engineering, 2005.

[2] G. Matthaei, Microwave Filter, Impedance Matching Networks and Coupling

Structures, 1980.

[3] T. Itoh, Numerical Technigues for Microwave and Millimeter-Wave Passive

Structures, 1989.

[4] C. Nguyen, Analysis Methods for RF, Microwave, and Millimeter-Wave Planar

Transmission Line Structures, 2001.

[5] R. S. Elliot, An Introduction to Guided Waves and Micowave Circuits, 1993.


36363636


CCoouurrssee NNaammee:: MMWWAAVV SSOOLLIIDD SSTT DDEEVV





Objectives:

Topics:

• Review of pn Junction Thory, Conductance and Junction Capacitor.

• Schottky Diodes and Metal-Semiconductor Junction.

• Varactor Diode and Its Application, Parametric Amplifiers, Frequency Multiplier and

Frequency Transmitter.

• Transferred Electron Devices (TED).

GUNN Device and its Modes of Operation, Frequency limitations.

TED Applications as an Oscillator and Amplifier.

• True-Time-Delay Devices (TTD).

Operation of IMPATT Diode and its Equivalent Circuit.

Operation of TRAPATT Diode.

• Operation of BARITT, TUNETT and their Equivalent Circuits.

• Microwave Field-Effect Transistor (FET).

Operation of MESFET and its Small-Signal and Large-Signal Equivalent Circuits.

MESFET Applications, Amplifier, Oscillator, Switch, …

• Heterojunction Transistors.

Operation of HEMT and Equivalent Circuit.

Operation of HBT and Equivalent Circuit.

• New Transistors and Semiconductors in Microwave.

References:

[1] S. Yngvesson, Microwave Semiconductor Devices.

[2] M. S. Sze, Physics of Semiconductor Devices.

[3] H. A. Watson, Microwave Semiconductor Devices and Their Circuit Applications.

[4] M. Shur, Ga As Devices and Circuits.


37373737


CCoouurrssee NNaammee:: DDIIGG SSIIGG PPRROOCCEESSSS 22





Objectives: Domination over Advanced DSP Topics.

Topics:

• Uniform and Nonuniform Sampling.

• Interpolation and Reconstruction of Signals.

• Iterative Methods.

• CDMA, OFDM and Digital and Analog Various Modulations.

• Nonlinear Methods, DFT Codes and …

References:

[1] F. Marvasti, Nonuniform Sampling: Theory & Practice, Springer 2001.

[2] F. Marvasti, A Unified Approach to Zero Crossings and Nonuniform Sampling, 1987.


38383838


CCoouurrssee NNaammee:: DDIIGGIITTAALL IIMMAAGGEE PPRROOCC





Objectives: Introduction to Digital Images and Digital Image Processing.

Topics:

• Introduction.

• Image Acquisition and Simple Transformation.

• Image Sampling and Quantization.

• Two Dimensional System Theory.

• Image Enhancement is Spatial Domain.

• Image Enhancement in Frequency Domain.

• Image Restoration and Optimal Image Processing.

• Color Fundamentals and Color Image Processing.

• A Brief on Wavelets and its Application in Image Processing.

• Image Compression.

• Image Segmentation.

• Morphological Image Processing.

• Representation and Description.

References:

[1] R. C. Gonzalez, R. E. Woods, Digital Image Processing, Prentice Hall, 2008.

[2] A. K. Jain, Fundamental of Digital Image Processing, Prentice Hall, 1989.

[3] J. C. Russ, The Image Processing Handbook, CRC Press, 2002.


39393939


CCoouurrssee NNaammee:: FFOOUURRIIEERR OOPPTTIICCSS





Objectives:

Topics:

• Analysis of 2-D signals & Systems.

Fourier Analysis in 2-D.

Spatial Frequency and Space-Frequency.

Localization.

Linear System.

2-D Sampling Theory.

• Foundations of Scalar Diffraction Theory.

Historical notes.

From Vector to Scalar Theory.

Some Mathematical Preliminaries.

Kirchoff Formulation of Diffraction by a Planar Screen.

Rayleigh Sommerfeld Formulation of Diffraction.

Comparison of Kirchoff & Rayleigh Sommerfeld Diffraction.

Huygens-Fresnel Principle.

Generalization to Monochromatic Waves.

The Angular Spectrum of Plane Waves.

• Fresnel and Fraunhofer Diffraction.

Background.

The Fresnel Approximation.

The Fraunhofer Approximation.

Examples of Fraunhofer Diffraction Patterns.

Examples of Fresnel Diffraction Calculations.

• Waves-Optic Analysis of Coherent Optical Systems.

A Thin Lens as a Phase Transformation.

Fourier Transforming Properties of a Lens.

Image Formation: Monochromatic Illumination.

• Frequency Analysis of Optical Systems.

Generalized Treatment of Imaging Systems.

Frequency Response for Diffraction Limited Coherent Imaging.

Frequency Response for Diffraction Limited Incoherent Imaging.

Aberrations.

Comparison of Coherent and Incoherent Imaging.

Resolution Beyond the Classical Diffraction Limit.


40404040

• Wavefront Modulation.

Wavefront Modulation with Photographic Film.

Spatial Light Modulators.

• Analog Optical Information Processing.

Historical Background.

Incoherent Image Processing Systems.

Coherent Optical Information Processing Systems.

The VanderLugt Filter.

The joint Transform Correlator.

Applications to Character Recognition.

Optical Approaches to Invariant Pattern Recognition.

Image Restoration.

Acousto-Optic Signal Processing Systems.

• Holography.

Historical notes.

The Wavefront Reconstruction Problem: The Gabor Hologram.

The Leith-Upatnieks Hologram.

Image Locations and Magnification.

Some Different Types of Holograms.

Computer Generated Holograms.

Degradations of Holographic Images.

Holography with Spatially Incoherent Light.

References:


41414141


CCoouurrssee NNaammee:: SSPPEEEECCHH PPRROOCCEESSSSIINNGG





Objectives:

Topics:

• Signal Processing Background.

• Speech Production.

• Speech Analysis Techniques.

• Speech Modeling.

• Linear Prediction Coding.

• Cepstral Modeling.

• Speech Coding/Compression.

• Speech Quality Assessment.

• Speech and Speaker Recognition.

• Dynamic Time Warping.

• Hidden Markov Model.

• Latest Theories and Techniques in Speech Processing.

References:

[1] J. R. Deller, J. H. L. Hansen, J. G. Proakis, Discrete-Time Processing of Speech Signals.

[2] T. Quatieri, Discrete Time Speech Signal Proc. – Principles & Practice.

[3] D. O’Shaugnessy, Speech Communication, Human & Machine.

[4] L. R. Rabiner, R. W. Schafer, Digital Processing of Speech Signals.

[5] J. N. Holmes, W. J. Holmes, Speech Synthesis and Recognition.


42424242


CCoouurrssee NNaammee:: AADDAAPPTTIIVVEE FFIILLTTEERRSS





Objectives: Introduction to Adaptive Filter Theory and Adaptive Signal Processing. These

Filters Unlike Conventional Filters are not Designed Directly but in environment and During

Work They Will Learn Their process Themselves. So in Cases Such Channel Estimation, Echo

Cancellation and … (that Signal Processing Should be done)we use them.

Topics:

• An Introduction to Adaptive Filters and Its Applications: Channel Estimation, Channel

Equalization, System Identification, Echo Cancellation, Noise Cancellation, Adaptive

Noise Control=GNC, Beamforming, …

• An Overview of Stochastic Processes, Linear Algebra (Positive Definite Matrices),with

Emphasis on Covariance Matrix and It’s Properties.

• An Overview of Eigenvalues and Eigenvectors Discussion, Analysis of Eigenvectors

and Eigenvalues of Covariance Matrix and It’s Conception, SVD Transform(Singular

Value Decomposition) and Pseudoinverse.

• Optimum Filtering (Wiener).

• Steepest Descent Method for Wiener Filter Learning and Analysis of It’s Convergence

Conditions.

• LMS (Least Mean Square) Method and Analysis of It’s Convergence.

• Some Derivatives of the LMS Algorithm like VSLMS (Variable step-size LMS).

• NLMS (Normalized-LMS) Algorithm and its Properties.

• Block Adaptive Filters, BLMS (Block-LMS) Algorithm and its Fast Implementation

using DFT Transform (Fast Block LMS or FBLMS).

• Transform-Domain Adaptive Filters and Transform-Domain LMS (TDLMS) Algorithms

like Two-Stage Adaptive Filters or DCT-LMS.

• Method of Least Squares and RLS (Recursive Least Squares) Algorithm.

• An overview of Estimation Theory and its use in Analysis of the RLS Algorithm.

• Finite Precision Effects in Convergence of Adaptive Filters.

• Kalman Filtering and Subband Adaptive Filters.

References:

[1] S. Haykin, Adaptive Filter Theory, Prentice Hall.

[2] B. Farhang-Boroujeni, Adaptive Filters, John Wiley.


43434343


CCoouurrssee NNaammee:: SSPPEECCTT EESSTTIIMMAATTIIOONN





Objectives:

Topics:

• Principles of Estimation, Optimal Estimation Criterions.

• Auto correlation Sequence Estimation, Biased Estimation, Unbiased Estimation.

• Traditional Spectral Estimation Methods Based on Fourier Transform, Periodogram,

The Limitations of Traditional Spectral Estimation Methods.

• Modern Spectral Estimation: Modeling and Parameter Identification Approach.

• AR, MR and ARMA Models in Spectral Estimation, Optimal and Suboptimal Methods.

• Gradient Algorithm and step-by-step strategy for the Estimation of Parameters.

• Model Order and Criterions for Selection of Model Order.

• Pisarenko Method.

• Prony’s Method (Continuous and Discrete Spectrum).

• Maximum Likelihood Method.

• Sub-Space Methods:

Multiple Signal Classification (MUSIC, SPIRIT).

Pisarenko as a special case of Sub-Space.

• Applications of Spectral Estimation.

• A Comparison of Spectral Estimation Methods.

References:

[1] S. M. Kay, Modern Spectral Estimation, Printice Hall, 1988.

[2] P. Stoica, R. Mouse, Introduction to Spectral Analysis, Printice Hall, 1997.

[3] S. M. Kay, S. L. Marple, Spectrum Analysis, A Modern Perspective, Proc. of IEEE,

1981.


44444444


CCoouurrssee NNaammee:: EESSTTIIMMAATTIIOONN TTHHEEOORRYY



First Presentation: Unknown. Level: Graduate


Objectives: Introduction to Estimation Theory Concepts, Prediction, Filtering, Smoothing,

Innovation, Optimal Linear Estimation, Wiener Filter and Kalman Filter.

Topics:

• Overview: Least-Square-Estimation, Principle of Orthogonality, Matrix Inversion

Lemma (MIL).

• Wiener Filtering: Introduction to Wiener Filter, Innovation, Whitening Filter,

Extension of Wiener Filter to Non-Stationary Processes, Wiener-Hopf Equation,

Fredholm Equation of the First Kind.

• An Overview of Linear Systems, State Space Representation, Canonical Forms.

• The Discrete-Time Kalman Filter.

• Innovation and Time Domain Analysis of Kalman Filter.

• Frequency Domain Analysis of Kalman Filter.

• Smoothing.

• Computational Aspects: Information Filters, Square-Root Filters, Chandrasekhar

Algorithm, Doubling Algorithm.

• Extension of Kalman Filter to Nonlinear Applications.

• Kalman Filter Design Using Covariance matrices, Innovation Model and Levinson’s

Algorithm.

References:

[1] B. D. Anderson, J. B. Moore, Optimal filtering, Prentice-Hall, 1979.

[2] T. Kailath, Lectures on Wiener and Kalman Filtering, Springer Verlag, 1985.

[3] T. Kailath, A. H. Syed, B. Hassibi, Linear Estimation, Prentice-Hall, 2000.

[4] J. Mendel, Lessons in Estimation Theory for Signal Processing, Communication and

Control, Prentice-Hall, 1995.

[5] S. Kay, Fundamental of Statistical Signal Processing: Estimation, Prentice-Hall, 1993.

[6] H. Van Trees, Detection, Estimation and Modulation Theory: Part I, John Wiley &

Sons, 1968.

[7] J. Candy, Signal Processing, The Model Based Approach, McGraw-Hill, 1986.

[8] A. Jazwinski, Stochastic Processes and Filtering Theory, Academic Press, 1970.

[9] G. Breiman, Factorization Methods for Discrete Sequential Estimation, Academic

Press, 1977.

[10] H. V. Poor, An Introduction to Signal Detection and Estimation, Springer, 1988.


45454545


CCoouurrssee NNaammee:: SSIIGGNNAALL PPRROOCCEESSSSOORRSS





Objectives: It is an EE graduate course about an important class of Processors, used for

signal processing. Various processor architectures will be discussed in this regard, along with

solutions to common related problems. The course covers several aspects of DSP

Processors, from chip design to board design, applications, and firmware and software

development.

Topics:

• Introduction, Definitions, Digital Signal Processing Systems, Classification of

Processors, Where Digital Signal Processors Stand.

• History and Evolution of Digital Signal Processors, Early Digital Signal Processors.

• Architecture and Elements of Modern Digital Signal Processors, Focusing on TI

C5000 and C6000 Families.

• Fixed Point and Floating Point Number Representations in DSP Processors, Related

Issues and Solutions, Q format, Quantization Effects, Overflow, Underflow, Scaling,

Saturation…, Applications of Simulation.

• Digital Signal Processing Algorithm Mapping on Modern DSPs, Including: FIR and IIR

Filters, Geortzel Algorithm, FFT, 2D DCT, LPC, Lattice Structures, LMS Adaptive

Filters, Kalman Filters… (Focusing on Fixed Point and Floating Point DSPs of TI C6000

Family).

• DSP Code Optimization in C, Linear Assembly, and Assembly, Focusing on Fixed Point

and Floating Point DSPs of TI C6000 Family.

• Dedicated DSP Cores, System Design for DSP Based Integrated Circuits.

• DSP Embedded Systems, DSP Board Design and PCB Level Issues, Including High

Speed Issues, Mixed Signal Problems, Grounding, Isolation.

References:

[1] D. LIU, M. Kaufmann, Embedded DSP Processor Design, 2008.

[2] S. M. Kuo, B. H. Lee, W. Tian, Real-time digital signal processing, John Wiley & Sons,

2006.

[3] TI C6000 Teaching ROMs, 2010.

[4] R. Chassaing, D. Reay, Digital Signal Processing and Applications with the

TMS320C6713 and TMS320C6416 DSP, John Wiley & Sons, 2008.

[5] Y. H. Hu, Programmable Digital Signal Processors, 2001.

[6] W. Kester, Mixed-Signal and DSP Design Techniques, Analog Devices, 2003.

[7] Nasser Kehtarnavaz, Real-Time Digital Signal Processing Based on the TMS320C6000,

Elsevier, 2005.


46464646

[8] S. P. Dandamudi, Guide to RISC Processors, Springer Science. 2005.

[9] F. Mayer-Lindenberg, Dedicated Digital Processor, John Wiley & Sons, 2004.

[10] G. A. Constantinides, P. Y. K. Cheung, W. Luk, Synthesis and Optimization of DSP

Algorithms, Kluwer Academic, 2004.


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Objectives: Introduction to Concepts and Various Applications of Cryptography, Classical

Cryptography Systems, Block Ciphers, Stream Ciphers, Public Key Cryptography.

Topics:

• Overview of the Principles of Cryptography and Their Mathematical Concepts:

Number Theory (Concepts such as Modular Arithmetic, Chinese Remainder

Theorem, ...), Information Theory (Concepts Such as Entropy, Mutual Information,

Information Theoretic Secrecy, …), and Complexity Theory (Class P and Class NP

Problems,…).

• Review and Analysis of Classic Cryptosystems: Permutation Systems, Mono-

Alphabetic and Poly-Alphabetic Substitution Systems.

• Stream Cipher Systems, Pseudo Random Sequences, Golomb's Triple Criteria,

Statistical tests, Pseudo Random Sequence Generation Using LFSRs.

• Block Cipher Systems: Data Encryption Standard (DES), Advanced Encryption

Standard (AES).

• Public Key Systems: Diffie-Hellman, RSA and McEliece Cryptosystems.

• Zero-Knowledge Systems and Hash Functions.

• Review of Key Management in Cryptography Systems.

References:

[1] A. Sinkov, Elementary Cryptanalysis: A Mathematical Approach, Random House,

1968.

[2] D. R. Denning, Cryptography and Data Security, Addison-Wesley, 1982.

[3] H. Beker, F. Piper, Cipher System, Northwood, 1982.

[4] B. Schneier, Applied Cryptography, John Wiley & Sons, 1996.

[5] J. Seberry, J. Pieprzyk, Cryptography: an Introduction to Computer Security, Prentice-

Hall, 1989.

[6] M. Rhee, Cryptography and Secure Communication, McGraw-Hill, 1993.

[7] N. Koblitz, Algebraic Aspect of Cryptography, Springer-Verlag, 1998.

[8] A. Menezes, P. van Oorschot, S. Vanstone, Handbook of Applied Cryptography, CRC

Press, 1996.

[9] G. B. White, C. Cothren, D. Williams, R. L. Davis, Principles of Computer Security,

McGraw-Hill, 2004.

[10] E. Cole, R. L. Krutz, J. W. Conley, Network Security Bible, John Wiley & Sons, 2005.

[11] S. Wagstaff, Cryptanalysis of Number Theoretic Ciphers, Chapman and Hall/CRC,

2002.


48484848

[12] C. Kaufman, R. Perlman, M. Speciner, Network Security Private Communication in a

Public World, Prentice Hall, 2003.

[13] R. Rueppel, Analysis and Design of Stream Cipher, Springer-Verlag, 1986.

[14] J. Simmons, Contemporary Cryptography, Wiley-IEEE Press, 1999.

[15] Y. Liang, H. V. Poor, S. Shamai, Information Theoretic Security, Foundation and

Trends in Communications and Information Theory, 2008.


49494949


CCoouurrssee NNaammee:: DDEETTEECCTTIIOONN TTHHEEOORRYY





Objectives: The course is designed To familiarize students with the principles of detection

theory, relying on discrete time signals.

Topics:

• Elements of Hypothesis Testing.

MAP, ML and Bayesian Hypothesis Testing, Minimax Hypothesis Testing, Neyman-

Pearson Hypothesis Testing, ROC Characteristics, Composite Hypothesis Testing, ALR,

UMP, Karlin-Rubin Theorem, ML Estimation, GLR, LOD.

• Signal Detection in Discrete Time.

Completely Known Signal Detection, Karhunen-Loeve Transform, Cholesky

Decomposition, Square root of Matrix, Signal Design, M Hypotheses Case, Composite

Adaptive Filter, Detection of Signals with Random Parameters, UMPI, Sufficient

Statistic, Invariance, Random Signal Detection, Estimator-Corralator, LS Estimation,

LOD, Performance Evaluation of Signal Detection Procedures, Chernoff Bound,

Sequential Detection, Wald Approximation, Robust Detection, Nonparametric

Detection.

References:

[1] H. V. Poor, An Introduction to Signal Petection and Estimation, Springer-Verlag,

1994.

[2] H. L. Van Trees, Detection, Estimation and Modulation Theory, Part I, Wiley, 1968.

[3] L. L. Scharf, Statistical Signal Processing, Detection, Estimation, and Time Series

Analysis, Addison Wesley, 1991.

[4] M. Barkat, Signal Detection and Estimation, Artech Hause, 1991.

[5] C. W. Helstrom, Elements of Signal Detection and Estimation, Prentice Hall, 1995.

[6] Mc Donough, Whalen, Detection of Signals in Noise, Academic Press, 1995.

[7] S. M. Kay, Fundamentals of Statistical Signal Processing, Detection Theory, Prentice

Hall.


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CCoouurrssee NNaammee:: DDAATTAA NNEETTWWOORRKKSS





Objectives: This course is designed to basic the scientific and practical aspects of data

networks. It covers the basic concepts such as protocols and operational network layers. In

each layers, the important services that are provided and the fundamentals of operation are

reviewed. Practical examples of implementation for each layer are shown to further clarify

the key concepts of each layer. The course includes assignments that are designed to

complement the course material and allow more in-depth understanding of the concepts in

various network layers. Assignments are based on using well known simulation tools so

students become more familiar with the course material and also gain experience in using

these tools for future research and engineering applications.

Topics:

• Introduction.

Uses of Computer Networks.

Network Hardware and Software.

Reference Models.

Example Networks.

Network Standardization.

• The Physical Layer.

The Theoretical Basis for Data Communication.

Transmission Media.

Wireless Transmission.

The Telephone System.

Local Loop Technologies: ADSL, ISDN.

SDH Transmission Systems.


Mobile Phone Systems: Analog, GSM.

Introduction to CDMA.

Satellite Communication.

• The Data Link Layer.

Data Link Layer Design Issues.

Error Detection and Correction.

Elementary Data Link Protocols.

Sliding Window Protocols.

Performance Analysis of Data Link Layer Protocols.

Example Data Link Protocols: HDLC, PPP.

• The Medium Access Sub-layer.


51515151

The Channel Allocation Problem.

ALOHA and its performance analysis.

MAC Layer Trade offs.

IEEE Standard 802 for LANs and its performance analysis.

Ethernet, Fast Ethernet and Gigabit Ethernet technologies.

Layer 2 Switching and Bridging.

Various MAC Techniques.

Wireless MAC Protocols.

Overview of IEEE 802.11 (WiFi).

Overview of IEEE 802.16 (WiMax).

Overview of Bluetooth.

• The Network Layer.

Network Layer Design Issues.

Routing Algorithms.

Wireless Routing Algorithms.

Congestion Control: principles of operation and useful algorithms.

Traffic Shaping.

Fundamentals concepts of Quality of Service (QoS).

QoS aware routing: RSVP, Diffserve, MPLS.

Internetworking.

Fundamentals of IP, the Network Layer in the Internet.

OSPF, BGP.

The Network Layer in ATM Networks.

QoS in ATM.

• The Transport Layer.

The Transport Service.

Elements of Transport Protocols.

TCP and its principles of operation.

UDP and its applications.

RTP/RTCP and their applications.

References:

[1] A. Tanenbaum. Computer Networks, Prentice Hall.

[2] A. Leon-Garcia, I. Widjaja, Communication Networks, Mc Graw Hill.

[3] W. Stallings, Data and Computer Communications, Prentice Hall.

[4] L. Peterson, B. Davie, Computer Networks: A Systems Approach, Morgan Kaufman.


52525252


CCoouurrssee NNaammee:: AARRRRAAYY SSIIGGNNAALL PPRROOCC





Objectives: Array Signal Processing is a graduate course for students in Signal Processing and

Communications. The pre-requisites are the Digital Signal Processing and Matrix Theory. The

array processing techniques are used in Sonar, cancellation, and recently for base station in

Mobile Communications.

Topics:

• Introduction.

• Arrays and Spatial Filters.

Introduction.

Frequency-wavenumber Response and Beam Patterns.

Uniform Linear Arrays.

Uniformly Weighted Linear Arrays.

Array Steering.

Array Performance Measures.

Linear Apertures.

Non-isotropic Element Patterns.

• Synthesis of Linear Arrays and Apertures.

Spectral Weighting.

Array Polynomials and the z-Transform.

Pattern Sampling in Wave number Space.

Minimum Beamwidth for Specified Sidelobe Level.

Least Squares Error Pattern Synthesis.

Minimax Design.

Null Steering.

Asymmetric Beams.

Spatially Non-uniform Linear Arrays.

Beamspace Processing.

• Planar Arrays and Apertures.

Rectangular Arrays.

Circular Arrays.

Circular Apertures.

Hexagonal Arrays.

Nonplanar Arrays.

• Characterization of Space-Time Processes.

Introduction.

Snapshot Models.


53535353

Space-time Random Processes.

Arrays and Apertures.

Orthogonal Expansions.

Parametric Wave number Models.

• Optimum Waveform Estimation.

Introduction.

Optimum Beamformers.

Discrete Interference.

Spatially Spread Interference.

Multiple Plane-wave Signals.

Mismatched MVDR and MPDR Beamformers.

LCMV and LCMP Beamformers.

Eigenvector Beamformers.

Beamspace Beamformers.

Quadratically Constrained Beamformers.

Soft-constraint Beamformers.

Beamforming for Correlated Signal and Interferences.

Broadband Beamformers.

References:

[1] H. L. Van Trees, Optimum Array Processing, Wiley, 2002.

[2] D. H. Johnson, D. E. Dudgeon, Array signal processing, concepts and Techniques,


[3] R. Klemm, Space-time Adaptive Processing, Short Run Press, 1998.

[4] S. Haykin, Array Signal Processing, Prentice Hall, 1985.

[5] S. Haykin, Advances in Spectrum Analysis and Array Processing, Prentice Hall, 1991.


54545454


CCoouurrssee NNaammee:: SSTTAATT OOPPTTIICCAALL CCOOMMMM





Objectives: To familiarize the student with statistical optical communications.

Topics:

• Photometery.

• Black Body Radiation.

• Development of Diffraction Integrals.

• Optical Random Fields.

• Statistical Development of Photo-detection.

• Optical Detector Shot Noise Response Process.

• Non-Coherent Direct Detection.

References:


[2] R. Gagliardi, Sh. Karp, Optical Communications, Wiley, 1995.


55555555


CCoouurrssee NNaammee:: OOPPTTIICCAALL CCOOMMMM NNEETT





Objectives: To familiarize the student with optical communication networks.

Topics:

• Optical Binary Digital Communications.

• Digital Communication Block-Coded Signaling.

• Fiber Optic Light Guide.

• Digital Fiber Optic Communications (Detection Theory).

• Statistical Optical Amplifiers.

• Femto-Second CDMA.

• WDM.

References:


[2] R. Gagliardi & Sh. Karp, Optical Communications, Wiley, 1995.


56565656


CCoouurrssee NNaammee:: AADDVV CCRRYYPPTTOOGGRRAAPPHHYY





Objectives: Complete Introduction to principles of design and Analysis of Stream Ciphers

And Block Ciphers, Introduction to different types of Public Key Cryptography Methods and

their Classical analysis, Key Management, Advanced Protocols and other Supplementary

Topics.

Topics:

• Statistical Tests and Applying them using Software Packets.

• Block Cipher Structure.

• AES and DES Algorithms.

• Block Cipher Cryptanalysis Methods Specially Linear and Differential Cryptanalysis.

• Stream Ciphers with or without Memory, Regular Clocking and Irregular Clocking.

• Stream Cipher Cryptanalysis Methods like Conditional and Unconditional Correlation

Attack.

• Analysis of Public Key Ciphers like RSA and Discrete Logarithm.

• Zero-Knowledge Protocols, Fiat-Shamir Identification Protocols, Fiat-Shamir Digital

Signature.

• Side-Channel Attacks and other Supplementary Topics.

References:

[1] A. Schneier, Applied Cryptography: Protocols, Algorithms and Source Code in C,

John-Wiley & Sons, 1996.

[2] J. Pieprzyk, T. Hardjono, J. Sebery, Fundamentals of Computer Security, Springer,

2003.

[3] A. R. Stinson, Cryptography Theory and Practice, Chapman & Hall/CRC, 2006.

[4] A. J. Menezes, P. C. Oorchot, S. A. Vanstone, Handbook of Applied Cryptography, CRC

Press, 1996.


57575757


CCoouurrssee NNaammee:: CCOOMMPPUUTT && NNEETT SSEECCUURRIITTYY





Objectives: E-based systems are ubiquitous in the modern world with applications spanning

e-commerce, WLANs, health care and government organizations. The secure transfer of

information has therefore become a critical area of research, development, and investment.

This course covers some important aspects such as analyzing and design of Key Agreement

& Authentication protocols; Electronic voting & e-Payment Schemes; …

Topics:

• Overview.

Attacks, Services and Mechanisms.

Security Analysis & Network Security Models.

• An introduction to networks.

Primary Concepts, Reference Models OSI, TCP/IP.

An introduction to cryptography.

Symmetric Cryptography.

Asymmetric Cryptography (Public Key).

Hush functions.

• An introduction to cryptography.

Symmetric Cryptography.

Asymmetric Cryptography (Public Key).

Hush functions.

• Key management protocols.

Security goals of key distribution protocols, Introduction to different kinds of

Attacks, Design and analysis of key distribution protocols, Authentication protocols.

MAC, HMAC Functions, Formal analysis of Authentication protocols.

• Authentication.

Password based Authentication protocols.

Typical attacks on Authentication Protocols.

Kerberos protocol.

• Public key Infrastructure (PKI).

Digital signature, Introduction to PKI functionality, Components of Public Key

Infrastructure.

Formal Methods for Authentication Protocol Analysis.

• Identity Based Cryptography.

• E-mail security.

PGP, S/MIME protocols.

• Mix-Net.


58585858

• E-Payment.

• E-Voting.

• Introduction to Provable Security.

References:

[1] W. Stallings, Cryptography and Network Security, Principles and Practice, Printice-

Hall, 2003.

[2] C. P. Pfleeger, Security in Computing, Printice-Hall, 1997.

[3] A. S. Tanenbaum, Computer Networks, Printice-Hall, 1996.

[4] M. Bishop, Computer Security: Art and Science, Adison-Wesley, 2002.

[5] W. Mao, Modern Cryptography, Theory and Practice, Prentice-Hall, 2004.

[6] D. R. Stinson, Cryptography, Theory and Practice, Chapman & Hall/CRC, 2006.

[7] G. Bella, Formal Correctness of Security Protocols, Springer-Verlag, 2007.

[8] Ch. Kaufman, R. Perlman, M. Speciner, Network Security, Prentice-Hall,1995.

[9] D. Chaum, M. Jakobson, R. L. Rivest, Towards Trustworthy Elections, Springer-Verlag,

2010.

[10] W. Stallings, Network Security Essentials, Printice-Hall, 2000.

[11] J. M. Kizza, A Guide to Computer Network Security, Springer-Verlag, 2009.


59595959


CCoouurrssee NNaammee:: AADDVV DDAATTAA NNEETT





Objectives: This course is designed to provide an in-depth review of advanced topics in data

networks. Data networks have evolved rapidly during the past two decades. This objective

of this course is to review important concepts that have a profound importance in practical

deployment of data networks. The course provide a review of new technologies such as

optical networks and their evolution in providing new data services, packet based voice

networks, quality of service in data networks and software defined networks. Noting the

rapid evolution of technology in this field, students should review course material and

suggested papers and reference books. Also, students should choose a related topic and do

a detailed review and study on the subject. They should present their results as class

presentations and term papers.

Topics:

• Optical Networks and Protocols.

SDH: PDH Mapping, Ethernet Mapping (GFP, VCAT), Overheads and their

functionalities, Network/Equipment Synchronization, Network Topology and

Protection.

Packet Ring Networks: RPR Architecture, RPR MAC features and QoS, RPR

Congestion Control.

Optics technology in the access networks: PON: Passive Optical Networks (PON) and

their key network architecture and services, FTTx architecture and services, EPON,

GPON.

WDM Networks: WDM Network Architecture and operation, Optical line terminals,

Optical Amplifiers, Optical Add Drop Multiplexers, Optical Cross Connects.

• Advanced Topics in Next Generation Voice Networks.

Key concepts, standard bodies and telecom operators.

Legacy Network Architecture and Protocols: Switch architecture and functionality,

Access network architecture and key elements, SS7, V5.2.

Next Generation Network: Architectures and Protocols: Media Gateway Controller,

Media Gateway, Signaling Gateway, Access Gateway, MEGACO/H.248, H.323, SIP,

RTP/RTCP, SIGTRAN.

• Quality of Service in Packet Networks.

QoS in ATM Networks.

QoS in IP Networks.

Traffic Modeling and Shaping.

Admission Control.

Traffic Shaping and Scheduling.


60606060

Congestion Control.

TCP Congestion Control and its variations.

QoS Routing, DiffServe, IntServe.

MPLS.

• Sensor Networks.

Overview of key concepts and applications.

PHY.

MAC.

Routing.

Cross Layer Design.

• Software Defined Networks.

Evolution of Network Architecture.

Open flow fundamentals.

Applications of SDN in Data Centers.

Applications of SDN in Wide Area Networks.

References:

[1] R. Ramaswami, K. Sivarajan, G., Optical Networks: A Practical Perspective, Morgan

Kaufmann.

[2] G. Kramer, Ethernet Passive Optical Networks, McGraw-Hill.

[3] H. J. Chao, X. Guo, Quality of Service Control in High-Speed Networks, Wiley-

Interscience.

[4] H. Karl, A. Willig, Protocols and Architectures for Wireless Sensor Networks, Wiley-

Interscience.

[5] P. Goransson, Ch. Black, Software Defined Networks A Comprehensive Approach,

Morgan Kaufmann.


61616161


CCoouurrssee NNaammee:: MMIICCRROOWWAAVVEE MMAAGGNNEETTIICC DDEEVVIICCEE





Objectives:

Topics:

• Introduction to magnetism: microscopic magnetic moments, macroscopic

magnetization, force and torque on a magnetic dipole, dynamics of microscopic

moments.

• Magnetic order: exchange force, ferromagnetic order, ferromagnetism, anti-

ferromagnetism, ferrimagnetism, paramagnetism, demagnetization field.

• Magnetization dynamics: Landau-Lifshitz equation, magnetic relaxation loss (Gilbert

formulation).

• Small signal description: magnetic susceptibility tensor, high-frequency permeability,

ferromagnetic resonance in uniformly magnetized ellipsoids.

• Electrodynamics of magnetic media: general equations, plane waves, non-

reciprocity, Faraday effect, energy relations.

• Waveguides with transversely magnetized media: field displacement effect, partially

filled waveguides, perturbation theory.

• Reciprocal and non-reciprocal phase shifters, resonance and field displacement

isolators, waveguide resonators.

• Microstrip ferrite devices: edge guided modes, phase shifters and isolators, Y-

junction circulators.

• Magnetostatic waves and oscillations: magnetostatic approximation, magnetostatic

waves in magnetic slabs and rods, magnetostatic resonances (Walker modes).

• Waveguides filled with longitudinally magnetized media, Faraday ferrite devices.

References:

[1] A. G. Gurevich, G. A. Melkov, Magnetization Oscillations and Waves, CRC Press, 1996.


62626262


CCoouurrssee NNaammee:: WWAAVVEE PPRROOPPAAGG WWIIRREELLEESSSS CCOOMMMM





Objectives: To provide an adequate capability for the Analysis and Design of wireless

terrestrial, mobile and satellite RF links. To provide an overview of propagation phenomena

occurring in daily wireless communications.

Topics:

• An introduction to wireless and cellular communications.

General concept of the wireless channel, C/I in cellular communications, Telephone

Traffic, Erlang-B formula.

Multiple Access Schemes, FDMA, TDMA, CDMA.

• Propagation Mechanisms.

Reflection, Refraction and Transmission.

Lossy and Lossless Media, Rough Surface Scattering.

Geometrical Optics, Principles and formulation.

Diffraction, Single knife-edge diffraction, Fresnel ellipsoids, Geometrical Theory of

Diffraction.

• Basic Propagation Models.

Definition of Path loss, Free Space path loss, Plane Earth path loss, link budget.

• Terrestrial Fixed links.

Path profile, Tropospheric Refraction, Ducting and Multipath.

Obstruction Loss.

Approximate Multiple Knife-Edge Diffraction, The Deygout Method, The Causebrook

Method, The Giovanelli Method.

Diffraction Over Objects of Finite Size.

• Satellite Fixed Links.

Tropospheric Effects, Rain Attenuation, Gaseous Absorption, Tropospheric

Refraction, Depolarisation, Sky Noise.

Ionospheric Effects, Faraday rotation, Group Delay, Dispersion.

• Macrocells.

Empirical Path Loss Models.

The Okumura-Hata Model, the COST 231-Hata Model, the Lee Model.

Physical Models.

The Allesbrook and Parsons Model, the Ikegami Model, the Rooftop Diffraction, the

Flat Edge Model, the Walfisch-Bertoni Model COST 231/Walfisch-Ikegami Model.

• Shadowing.

Statistical Characterization and Physical basis for shadowing.

Impact on the coverage, at the edge of the Cell, at the whole cell.


63636363

• Narrowband Fast Fading.

The Narrowband Fading Channel, The Rayleigh distribution and SNR, The Rice

Distribution and SNR, The Nakagami-m Distribution and Other Fading Distribution,

Autocorrelation Function and Narrowband Mobile Radio Channel.

• The Wideband Fast Fading.

Effects of wideband Fading, Wideband Channel Model, Frequency Domain Effects,

The Bello Functions, Wideband fading in fixed channels, Overcoming the Wideband

Impairments.

Introduction to magnetism: microscopic magnetic moments, macroscopic

magnetization, force and torque on a magnetic dipole, dynamics of microscopic

moments.

Magnetic order: exchange force, ferromagnetic order, ferromagnetism, anti-

ferromagnetism, ferrimagnetism, paramagnetism, demagnetization field.

References:

[1] S. Saunders, A. Aragon-Zavala, Antennas and Propagation for Wireless

Communication Systems.

[2] G. Barue, Microwave Engineering Land and Space Radio communications.

[3] N. Blaunstein, Ch. Christodoulou, Radio Propagation and Adaptive Antennas for

Wireless Communication Links.


64646464


CCoouurrssee NNaammee:: WWIIRREELLEESSSS CCOOMMMM NNEETTWWOORRKKSS


Corequisite: 25775 or 25191 Prerequisite: Nothing.



Objectives:

Topics:

• Introduction: Evolution of wireless and cellular networks, Central role of multiple

access technologies, Examples of wireless networks, Goals of traffic engineering in

single-hop and multi-hop networks.

• Overview of Main Queueing Theory Results: Little’s formula, M/M/1, M/M/m,

M/G/1, and G/G/1 queues, Priority queueing.

• Worst Case Performance Characterization: Worst-case vs. statistical performance

characterization, Fair queueing algorithms, Fluid flow idealization, Leaky bucket and

traffic shaping, Maximum end-to-end delay, Effective Bandwidth.

• Random Access Algorithms: Aloha system, Stabilization of Aloha system, Splitting

algorithms, Carrier sensing, Collision detection and CSMA/CD, CSMA/CA and IEEE

802 standard series.

• Scheduling Algorithms for Single-hop Networks: Scheduling vs. random access,

Quality of service vs. multi-user diversity, Scheduling algorithms for throughput

optimality, fariness, and quality of service. Examples of scheduling in Wimax and LTE

technologies.

• Routing in Multi-hop Networks: Shortest path routing, Minimum-delay routing

algorithms, Distributed implementation.

• Flow Control and Fairness: End-to-end vs. Hop-by-hop flow control, Rate vs. window

flow control, Optimization flow control, Unified framework for routing and flow

control, Minmax flow control, Fairness and priority implications.

• Scheduling in Multi-hop Wireless Networks: Goals of scheduling, Throughput

optimality, Tassiulas algorithm and its shortcomings, Unified optimization framework

for routing, flow control and scheduling.

• Open Issues: An introduction to network coding, cognitive radio, and cooperative

communication.

References:


65656565


CCoouurrssee NNaammee:: CCOOMMMM SSYYSS SSIIMMUULLAATTIIOONN





Objectives: It is an EE graduate course, focused on the applications of computer simulation

techniques in communication system design, evaluation, parameter estimation, software

implementation and so on. Various simulation techniques will be discussed in this regard,

along with solutions to common related problems. The course ends with presenting some

real-world simulation examples. Communication systems and Probability theory knowledge

are necessary for the students.

Topics:

• Introduction to Simulation and Modeling.

• Role of Simulation in Communication System Life Cycle.

• Simulation Methodology.

• Practical Issues in simulation of Communication System.

• Representation of signals and Systems in Simulation Environment.

• Modeling and Simulation of communications Systems Elements.

• Generation of Data Signals, Random Numbers and Processes.

• Modeling and Simulation of Non-linearity.

• Modeling and Simulation of Time Varying Systems.

• Modeling and Simulation of Communication Channels (Waveform and Discrete

Channels).

• Monte Carlo Methods.

• Rare Events Simulation and Importance Sampling Acceleration in Monte Carlo

Methods.

• Semi-Analytic Methods in Simulation of Communication Systems.

• Advanced Simulation Techniques: Tail Extrapolation, pdf Estimators, Splitting …

• Case studies.

References:

[1] W. H. Tranter, K. S. Shanmugan, T. S. Rappaport, K. L. Kosbar, Principles of

Communication Systems Simulation With Wireless Applications, Prentice Hall, 2004.

[2] C. B. Rorabaugh, Simulation Wireless Communication Systems: Practical Models in

C++, Prentice Hall, 2004.

[3] G. rubino, B. Tuffin, Rare Event Simulation using Monte Carlo Methods, John Wiley

and Sons, 2009.

[4] F. P. Fontan, P. M. Esineira, Modeling the Wireless Propagation Channel: A

simulation approach with Matlab, John Wiley and Sons, 2008.

[5] M. Schiff, Introduction to communication systems simulation, Artech House, 2006.


66666666

[6] M. C. Jeruchim, P. Balaban, K. S. Shanmugan, simulation of communication systems,

Modeling, Methodology, and Techniques, Academic Publishers, 2002.

[7] F. M. gardner, J. D. Baker, Simulation Techniques, Models of Communications,

signals and Process, John Wiley & Sons, 1997.

[8] J. G. proakis, M Salehi, G. Bauch, Contemporary Communication Systems using

Matlab and Simulink, CL-Engineering, 2003.

[9] C. R. Johnson, W. A. Sethares, Telecommunications Breakdown, Prentice Hall, 2004.

[10] N. Benvenuto, Algorithms for Communications Systems and their Applications, John

Wiley & Sons, 2003.


67676767


CCoouurrssee NNaammee:: SSPPAACCEE--TTIIMMEE CCOODDIINNGG





Objectives:

Topics:

• Motivation and background, overview of Linear Algebra, Probability Theory,

Optimum Decision.

• MIMO communications.

MIMO channel models.

Capacity of MIMO channels.

• Average probability of error and diversity.

• Spatial multiplexing and Diversity.

• Beamforming, Precoding for spatial multiplexing.

• Space-time block codes (STBC).

• Quasi-orthogonal space-time block codes (QSTBC).

• Pairwise Error Probabilities.

• Space-time trellis codes (STTC).

• Differential/Unitary space-time block codes.

• Bell Labs layered space-time (BLAST).

• Linear dispersion codes.

• Coherent and non-coherent decoders.

• Space-time coding in a multiuser environment.

• Additional topics in space-time coding.

References:

[1] E. G. Larsson, P. Stoica, Space-time block coding for wireless communications,

Cambridge University Press, 2003.

[2] H. Jafarkhani, Space-Time Coding, Theory and Practice, Cambridge Press, 2005.

[3] D. Tse, P. Viswanath, Fundamentals of wireless communications, Cambridge Press

2005.

[4] B. Vucetic, J. Yuan, Space-time coding, Wiley, 2003.

[5] M. Sellathurai, S. Haykin, Space-Time Layered Information Processing for Wireless

Communications, John Wiley & Sons, 2009.

[6] A. Gershman, N. Sidiropoulos, Space-Time Processing for MIMO Communications,

Wiley, 2005.


68686868


CCoouurrssee NNaammee:: RRAANNDDOOMM PPRROOCCEESSSS





Objectives:

Topics:

• Definition of Random Variable and Review of Probability Concepts.

• Definition of Stochastic Processes and its General Concepts.

Statistical Characteristics of Random Variables in Different Orders.

Strict-Sense Stationary Process (SSS) and Wide-Sense Stationary Process (WSS),

Cyclostationary Process.

• AutoCorrelation Function Properties, Power Spectrum (Discrete-Time and Continues-

Time Processes).

• Random Input Systems Analysis, Relationship Between Statistical Characteristics of

Input and Output, Spectral Relativity of Input and Output of Linear Systems.

• Ergodic Processes (Distribution Eng., Correlation Erg., Mean-Ergodic).

• Special Processes Analysis and their Applications.

White Noise, Thermal Noise, Wiener Process, Poisson Process, Shot Noise, PAM,

Telegraph Signal.

Detection of Deterministic Signals in White and Color Noise, Matched Filter, Hilbert

Transform.

• Narrowband Processes and Sampling Theory.

• Karhunen-Loeve (KL) Expansion and Fourier Series as an Special Case of KL.

• Factorization and Innovations.

• Mean Square Linear Estimation.

Regular and Predictable Process.

Smoothing (Discrete-Time and Continuous-Time Processes).

Prediction (Discrete-Time and Continuous-Time Processes).

Filtering and Prediction (Discrete-Time and Continuous-Time Processes).

Estimation of a Regular Stationary Signal in White Noise as a Special Case.

Estimation of a Stationary Autoregressive Process.

Kalman Filtering for Discrete-Time Processes, Simplification of Kalman Filters for

ARMA and AR Processes in White Noise.

References:

[1] A. Papoulis, S. U. Pillai, Probability, Random Variables and Stochastic Processes,

McGraw-Hill, 2002.


69696969


CCoouurrssee NNaammee:: MMWWAAVV AACCTTIIVVEE CCKKTT DDSSGGNN





Objectives: Learning Microwave Solid State Circuit Design Including Amplifiers, Oscillators

and Mixers.

Topics:

• An overview of Lumped Elements, Wave Propagation Environments and an

Introduction of Microstrip Lines.

• Introduction of Applicable Active Devices and Corresponding Nonlinear Models of

Them.

• Introduction of Softwares of Linear and Nonlinear Analyzing of Microwave Circuits.

• Microwave Amplifier Design using Scattering Parameters.

• Design of Low Noise, Balanced, Broadband and Power Amplifiers.

• Introduction to Harmonic Balance Method for Analysis of Nonlinear Microwave

Circuits.

• Large Signal Matching Using Load Pull Method, Introduction to Intermodulation,

Nonlinear Saturation.

• Principles of Microwave Oscillator Design.

• Noise Analysis of Oscillators and Introduction to Noise Measurement Methods of

Oscillators.

• Microwave Mixers and An Overview of Their Fundamental Parameters Definition.

References:

[1] Bahl, Fundamentals of RF and Microwave Transistor Amplifiers, 2009.

[2] Gonzalez, Microwave Transistor Amplifier Analysis and Design, 1997.

[3] S. Maas, Nonlinear Microwave and RF Circuits, 2003.

[4] S. Maas, Microwave Mixers, 1993.

[5] G. D. Vendelin, Microwave Circuit Design Using Linear and Nonlinear Techniques,

2005.


70707070


CCoouurrssee NNaammee:: NNOONNLLIINN MMWWAAVVEE CCKKTT





Objectives:

Topics:

• Linearity and non-linearity.

Unwanted effects and intended useful applications.

• Nonlinear microwave devices.

Small signal equivalent circuits.

Nonlinear models for GaAs MESFETs and HEMTs.

Nonlinear bipolar device modeling.

• Circuit analysis.

Linear circuit analysis.

Time domain methods.

Frequency domain methods (Describing Functions and Volterra series).

Harmonic Balance method.

Large signal Small-signal method (Conversion matrix method).

X-Parameters.

Noise analysis in nonlinear circuits.

Introduction to commercial softwares.

• Nonlinear Measurements.

MA-AM and AM-PM measurements.

Two-tone technique.

Load Pull technique.

Large signal Vector Measurement Techniques (LSNA).

• Some nonlinear circuits.

Nonlinear effects in RF Pas and linearization techniques.

Frequency Multipliers.

Microwave Mixers.

References:

[1] Maas, Nonlinear Microwave and RF circuits, 2003.

[2] Pedro, Intermodulation Distortion in Microwave and Wireless Circuit, 2003.

[3] Suarez, Stability Analysis of Nonlinear Microwave Circuits, 2003.

[4] S. A. Maas, Microwave Mixers, 1993.


71717171


CCoouurrssee NNaammee:: WWAAVVEE SSCCAATTTT TTHHEEOORRYY





Objectives:

Topics:

• Review of Maxwell theory, Green’s functions, Far-zone field and radiation.

• Formulation of the scattering, scattering cross section, scattering amplitude matrix,

unit vector systems, Born approximation, relation with the Fourier transform, optical

theorem.

• Scattering from layered media, scattering from the interface between two media,

scattering by a dielectric slab, scattering from general stratified media.

• Scattering from cylindrical objects, scalar waves in cylindrical coordinates, vector

wave equation and its solutions in cylindrical coordinates, expansion of a plane

wave, scattering by a perfectly conducting cylinder, scattering width, scattering by a

dielectric cylinder.

• Scattering from a conducting wedge, solution by line sources, special cases.

• Scattering from complex objects, general formulation, volume integral equation

formalism for dielectrics.

• Huygens principle and the extinction theorem, surface integral equation formalism

for dielectrics, surface integral equation formalism for conductors, EFIE and MFIE

equations, two dimensional conductors, wires.

• Scattering from small dielectric objects, Rayleigh approximation.

• High frequency approximations: physical optics, geometrical optics, high frequency

expansion, eikonal equation, reflection of rays from conductive surfaces.

References:

[1] C. A. Balanis, Advanced engineering electromagnetics, Wiley, 1989.

[2] A. Ishimaru, Electromagnetic wave propagation, radiation, and scattering, Prentice

Hall, 1991.

[3] L. Tsang, J. Kong, K. Ding, Scattering of Electromagnetic Waves: Theories and

Applications, Wiley, 2000.


72727272


CCoouurrssee NNaammee:: NNUUMM MMEETTDD IINN EELLEECCTTRROOMMAAGG





Objectives: Introduction to Most Important Numerical Methods of Solving Electromagnetic

Problems and Providing the Ability of Judging and Selecting Suitable Methods for Solving an

Specific Problem Based on Theoretic and Practical Characteristics and Limitations.

Topics:

• An Overview of Electromagnetic Theory.

• Comparison of Numerical and Analytical methods, Classification and General

Properties.

• Finite Difference (FD) and Finite Difference Time Domain (FDTD) Methods.

• Method of Moments (MoM) and required Green’s functions.

• Finite Element Method (FEM).

• Transmission Line Matrix Method (TLM).

• Method of Lines.

• Other methods and Complementary Problems.

References:

[1] M. N. O. Sadiku, Numerical Techniques in Electromagnetics, CRC Press.

[2] J. M. Jin, Theory and Computation of Electromagnetic Fields, IEEE Press, 2010.

[3] R. F. Harrington, Field Computation by Moment Method, IEEE Press, 1993.

[4] T. Itoh, Numerical Techniques for Microwave and Millimeter Wave Passive

Structures, Wiley, 1989.

[5] A. Taflove, Computational Electrodynamics, the finite-difference time-domain

method, Artech House, 2005.

[6] A. F. Peterson, Computational Method for Electromagnetics, IEEE Press, 1997.

[7] J. L. Volakis, Finite Element Method for Electromagnetics, IEEE Press, 1998.

[8] J. Jin, The Finite Element Method in Electromagnetics, John-Wiley & Sons, 2002.

[9] A. Bondeson, Computational Electromagnetics, Springer, 2005.

[10] R. C. Booton, Computational Methods for Electromagnetics and Microwaves, John

Wiley & Sons, 1992.


73737373


CCoouurrssee NNaammee:: BBRROOAADDBBAANNDD AACCCCEESSSS





Objectives: Providing deep understanding of the types of Broadband Access systems with

special emphasis on DSL Systems.

Topics:

• Introduction and Applications.

What is Broadband Access Network?

Fiber Networks (Passive Optical Networks).

Broadband Wireless Systems (WiMAX).

Review of Switching (Packet vs. Circuit switching).

• Copper Access:

XDSL (Digital Subscriber Loops).

System Overview (HDSL, ADSL, VDSL, Glite,..).

Local Loop Media, Crosstalk and Noise environment.

• Single-Channel System Review:

QAM Modulation.

Linear/Nonlinear Equalization.

DFE Performance.

• Multitone/ Multichannel Modulation.

• Discrete Multitone / OFDM Systems.

• Loading Algorithms and Channel Partitioning.

• Channel Identification in Multitone Systems.

• Multichannel Equalization Techniques.

• Advanced topics: MIMO DSL, Dynamic Spectrum Management,…

References:

[1] T. Starr, J. Cioffi, Understanding DSL Technology.

[2] T. Starr, M. Sorbara, J. Cioffi, DSL Advances.


74747474


CCoouurrssee NNaammee:: NNEETTWWOORRKK IINNFF TTHHEEOORRYY





Objectives:

Topics:

• Review of Classical Information Theory concepts: Information measures and typical

sequences, Random binning.

• Multiple access channel.

• Broadcast channel.

• Relay channel.

• Interference channel.

• Cut-set bound.

• Gelfand - Pinsker coding.

• Marton coding.

• Slepian - Wolf Theorem.

• Rate-distortion Theory.

• Wyner - Ziv coding.

• Distributed source coding.

• Caratheodery theorems, Bounding cardinality.

• Fourier-Motzkin method.

• Dirty-paper coding.

• Gaussian fading channels.

• Channels with state.

• Multiple description coding.

• Block Markov encoding, sliding window decoding.

• Network coding.

References:

[1] A. ElGamal, Y. Kim, Network Information Theory, Cambridge University Press, 2012.

[2] Th. Cover, J. Thomas, Element of Information Theory, Wiley-Interscience, 2006.

[3] I. Csiszar, J. Korner, Information Theory: Coding Theorems for Discrete Memoryless

Systems, Cambridge University Press, 2011.

[4] R. W. Yeung, A First Course in Information Theory, Kluwer, 2001.

[5] R. G. Gallager, Information Theory and Reliable Communication, John Wiley, 1968.

[6] D. Tse, P. Viswanath, Fundamentals of Wireless Communication, Cambridge

University Press, 2005.


75757575


CCoouurrssee NNaammee:: MMOOBBIILLEE CCOOMMMM





Objectives:

Topics:

• Channel Model and Propagation in Wireless Systems.

• Statistical Fading Effects (Large and Small Scale).

• Multiple Access Systems.

• Principles of Cellular Systems and Traffic Engineering in such Networks.

• Basics of OFDM Modulation.

• Diversity Methods.

• Analysis of Capacity in Wireless Networks.

• Concepts of MIMO Systems.

References:

[1] T. Rappaport, Wireless Communications, Principles and Practice, Prentice Hall.

[2] A. Tse, D. Vaswanath, Fundamentals of Wireless Communication, Cambridge


[3] A. Goldsmith, Wireless Communications, Cambridge University Press, 2005.


76767676


CCoouurrssee NNaammee:: TTIIMMEE FFRREEQQ RREEPPRREESSEENN





Objectives:

Topics:

• Time-Frequency Representations (Linear and Bilinear).

Necessity of Simultaneous Time and Frequency Representation.

Linear Transformation: Short-Time Fourier Transforms, Continuous Wavelet

Transform.

Bilinear Transformation.

Cohen’s Class Transforms (Definition, Properties, Wigner-Ville, Ambiguity Function,

Cross Terms, Different Types of Kernel, Methods of Interface Term Reduction).

Signal dependent Representations.

Matching Pursuit.

Time-Frequency Distribution Series.

Time-Frequency Filtering.

Applications.

• Filter Banks and Multirate Systems.

Downsampling and Upsampling.

Polyphase Representation.

General Structure of Two-Channel Filter Bank and Prefect Reconstruction Conditions.

QMF and CQF Filter Banks.

General Structure of M-Channel Filter Bank and Theorems.

Modulation and Polyphase Matrices and Perfect Reconstruction Conditions.

DFT Filter Banks.

TransMultiplexer Filter Bank.

Applications.

• Wavelets and Discrete Wavelet Transforms

DWT Definition

Multiresolusion Analysis

Orthogonal DWT

Filter Bank and DWT

Moments and its utility for Wavelet design (Daubechies, Symlets, Coiflet families)

Wavelet Packet, M band Wavelet, Multi Wavelet

Biorthogonal Spline Wavelet and Semi-orthogonal Wavelet

Applications

• 2D Transforms

2D Fourier Transform, 2D Wigner Ville, 2D CWT


77777777

2D Filter banks (Separable Filter Banks, Directional Filter Banks)

2D DWT (separable and non-Separable)

References:

[1] S. Qian, D. Chen, Joint Time-Frequency Analysis: Methods and Applications, Prentice

Hall, 1996.

[2] N. J. Fleige, Multirate Digital Signal Processing, John Wiley, 1994.

[3] S. Burrus, Introduction to Wavelets and Wavelet Transforms, Prentice Hall, 1998.


78787878


CCoouurrssee NNaammee:: SSAATTEELLLLIITTEE CCOOMMMM





Objectives:

Topics:

• Introduction of Satellite Communication Systems.

A Brief Comparison of Satellite Communication Systems and other Transmission

Systems (Ground Microwave Lines, Cable Systems, Optical Fibers and VHF/UHF

Radios).

• Satellite Location in Space.

Review of Kepler’s Laws, Solving the Equation of Satellite Motion in Space.

Specifying Satellite Orbit and its location, Ephemeris Parameters.

• Noise Temperature of Antenna and Receiver in Earth Station and Satellite.

Measurement of Noise Temperature in the Lossy and Lossless Cases.

Noise Temperature of the Earth and the Sky.

• Wave Propagation in Atmosphere.

Refraction and Absorption Phenomena in Troposphere and Ionosphere.

Impairment Caused by Rain.

• RF Link Budget Calculation in Satellite Communication.

• Modulation and Multiplexing in Satellite Communication.

Calculation of Transmission Capacity in Various Modulations.

TDM/PSK and FDM/FM Systems and Comparison of Their Capacities in the Same

bandwidth.

• Multiple access in Satellite Communication.

Frequency Division Multiple access (FDMA).

Time Division Multiple access (TDMA).

Code Division Multiple access (CDMA).

Comparison of Transmission Capacities in Various Systems.

Dynamic Assigned Multiple Access (DAMA) and Random Assigned Multiple Access

(RAMA).

• Fixed and Mobile Satellite Communication (Introduction of Some Systems INTELSAT,

INMARSAT, …).

Introduction of National Satellite Communication Systems.

References:

[1] Maral, Bosquet, Satellite Communication Systems.

[2] Pratt, Bostain, Satellite Communications.

[3] Pritchard, Sciulli, Satellite Communication System Engineering.


79797979


CCoouurrssee NNaammee:: AADDVV EENNGG MMAATTHH





Objectives: Introduction to Mathematical Principles of Electromagnetic Theory using

Modern Methods Based on Functional Analysis.

Topics:

• Functional Analysis.

Metric Spaces.

Normed Spaces – Banach Spaces.

Inner Product Spaces – Hilbert Spaces.

Applications in Control.

• Numerical Linear Algebra.

A Review of Required Linear Algebra Concepts.

Basic Concepts in Numerical Linear Algebra (Algorithm Stability, Conditioning of

Problems, Condition Number, Numerically Effective Algorithms, …).

Useful Transformations and Their Applications (LU Factorization, QR Factorization,

Cholesky Factorization, …).

Numerical Algebra Problems.

References:

[1] E. Kreyszig, Introductory Functional Analysis with Applications, Wiley, 1989.

[2] D. H. Griffel, Applied Functional Analysis, Wiley, 2002.

[3] B. N. Datta, Numerical Linear Algebra and Applications, Cole Publishing Company,

1995.

[4] J. Demmel, Applied Numerical Linear Algebra, SIAM, 1997.


80808080


CCoouurrssee NNaammee:: DDAATTAA CCOOMMMM && NNEETT





Objectives:

Topics:

• Introduction.

Uses of Computer Networks.

Network hardware and software.

Reference Models.

Example Network.

Example data Communication Services.

• The physical layer.

The theoretical basis for data communication.

Transmission media.

Wireless Transmission Media.


The Telephone system.

Narrowband ISDN.

Broadband ISDN and ATM.

Cellular Radio.

Communication Satellites.

• The Data Link Layer.

Data Link Layer Design Issues.

Error Detection and correlation.

Elementary Data Link Protocols.

Sliding Window Protocols.

Protocol Specification and Verification.

Example Data Link Protocols.

• The Medium Access Sublayer.

The channel Allocation Problem.

Multiple Access Protocols.

IEEE Standard 802 for LANS and MANS.

Bridges.

High-speed LANS.

Satellite Networks.

• The Network Layer.

Network Layer Design Issues.

Routing Algorithm.


81818181

Congestion Control Algorithm.

Internetworking.

The Network Layer in the internet.

The Network Layer in ATM Networks.

• The Transport Layer.

The Transport Service.

Elements of Transport Protocols.

A Simple Transport Protocol.

The Internet Transport Protocols (TCP and UDP).

The ATM AAL Layer Protocols.

Performance Issues.

• The Application Layer.

Network Security.

DNS-Domain Name System.

SNMP-simple Network Management Protocol.

Electronic Mail.

Usenet News.

The World Wide Web.

References:

[1] Tanebaum, Computer Communication, 1996.


82828282


CCoouurrssee NNaammee:: RRAADDAARR SSYYSSTTMMSS





Objectives: Introduction to principles of Radar performance and different Radar Systems.

Topics:

• An Introduction to Radar, Radar frequencies, Radar Equation, Introduction to RCS

and Integration of Radar Pulses.

• MTI and Pulse Doppler Radars and their Applications.

• CW and FMCW Radars.

• Tracking Radar, Tracking Techniques (Conical and Monopulse Scan) and Comparison

of Trackers, TWS.

• Optimum Echo Detection, Automatic Detection and Tracking (ADT), Adaptive

Thresholding (CFAR).

• Information Extraction from Radar Signal, Ambiguity Function, Accuracy, Resolution.

Pulse Compression and Matched Filter Receiver.

• Radar Clutter (Surface and Volume).

• Array Antennas, Array Processing.

• Practical Problems of Radar: Introduction to Radar Tubes, Antennas, Waveguide

Devices (Duplexer Connection, Receiver Protectors, Circulator, Waveguide Hybrids),

Summery of STC, FTC, OTHR, SAR, 3DR, Radome, Propagation of Radar Waves.

References:

[1] M. L. Skolnik, Introduction to Radar Systems, Mc. Graw Hill, 2001.

[2] M. L. Skolnik, Radar Handbook, Mc. Graw Hilll, 2008.

[3] F. E. Nathanson, Radar Design Principles, Mc. Graw Hill, 1969.

[4] Barten, Radar Encyclopedia.


83838383


CCoouurrssee NNaammee:: 33DD IIMMAAGGIINNGG





Objectives: An introduction to the concept of three-dimensional (3D) imaging, optical

imaging and different techniques for recording and reconstruction of 3D images. The major

3D imaging methods are stereoscopy, integral imaging and holography. The main objective

of this course is to make the students familiar with the capturing and reconstruction

methods used in each 3D imaging system, the basic concept behind them, advantage and

disadvantage of each method and their position in the current 3D imaging technology.

Topics:

• Basics of 3D imaging.

Application of 3D imaging (Biological, engineering design software, entertainment).

Basic issues in depth perception: Recovering 3 dimensions, Monocular and binocular

information, Physiological sources of depth information.

Depth cues.

Disparity.

3D point-spread-function.

• Optical imaging.

Geometric Optics Analysis of Lens Imaging: The concept of a ray, Refraction, Snell’s

Law, and the paraxial approximation, The ray-transfer matrix, Conjugate planes,

focal planes, and principal planes.

Diffraction and Optical Imaging: Harmonic analysis in optics, Diffraction and the

diffraction impulse response, Fresnel diffraction, Fraunhofer diffraction, Optical

elements and their transmittance function (Prism, Grating and lens transmittance

function).

Lenses, imaging and MTF: Thin lens transmittance and thin lens systems, Image

formation, The coherent transfer function, Space-time structure of the coherence

functions, Spatially incoherent fields, Imaging incoherent fields and incoherent

impulse response, The optical transfer function, MTF, Engineering the pupil function

to optimize for computational imaging.

• Stereoscopic imaging.

Convergence and accommodation.

The stereoscopic parallax.

Stereoscopic comfort zone.

Depth budget.

Applications and limitations.

• Autostereoscopic imaging.

Parallax barrier displays.


84848484

Lenticular displays.

Moving slits.

Integral imaging and its 3D point-spread-function.

Plenoptic imaging and plenoptic cameras.

Trade-off between parallax and image resolution.

Three-dimensional resolution.

Applications and limitations.

• Holography.

Interface and diffraction.

Holography formation and reconstruction.

Holography, spatial bandwidth and sampling.

Recording media.

• Computational holography.

Digital holography.

Mathematical analysis of coherent fields.

Incoherent holography (Recording and reconstruction).

Volume holographic grating.

Applications.

• Practical 3D imaging systems.

References

[1] T. Poon, Digital Holography and Three-Dimensional Display.

[2] O. Takanori, Three-Dimensional Imaging Techniques.

[3] N. Pears, Y. Liu, P. Bunting, 3D Imaging, Analysis and Applications.

[4] J. W. Goodman, Introduction to Fourier Optics.

[5] Born, Wolf, Principles of Optics: Electromagnetic Theory of Propagation, Interference

and Diffraction of Light.

[6] J. D. Schmidt, Numerical Simulation of Optical Wave Propagation.

[7] J. Goodman, Statistical Optics.

[8] J. Peatross, M. Ware, Physics of Light and Optics.

[9] Barrett, Myers, Foundations of Image Science.


85858585


CCoouurrssee NNaammee:: SSTTOOCCHH MMOODDEELLIINNGG CCOOMMMM NNEETTSS





Objectives: Introduction to stochastic modeling by complex Markov chains and algorithmic

solution for them, Traffic modeling by Markov-related processes, Markov decision

processes.

Topics:

• Quasi Birth-Death (QBD) Processes and Matrix-Analytic Methods.

Review on Markov Chains, Two-dimensional Markov Chains and QBDs, Block-

Structured Markov Chains, Phase-type Distributions, Markovian Point Processes

(BMAP, MMPP, …), Matrix-Analytic Methods for Homogeneous and Non-

Homogeneous QBDs, Matrix-Analytic Methods for M/G/1-type and G/M/1-type

Processes, Computational Algorithms.

• Controlled Queueing Systems and Markov-Decision Process.

Controlled Markov Chains, Finite and infinite horizon MDPs, MDPs based on

expected total discounted reward and average reward, Value Iteration, Policy

Iteration, and Modified Policy Iteration Algorithms, Continuous time MDPs, Semi-

Markov Decision Processes (SMDP).

• Supplementary Topics

Matrix-Analytic Methods for Product-Form Queueing Networks, Traffic Models and

some Markov-based Approximate Models, Hidden Markov models and POMDPs, …

References

[1] G. Latouche, V. Ramaswami, Introduction to Matrix Analytic Methods in Stochastic

Modeling, 1999.

[2] M. L. Puterman, Markov Decision Processes, John Wiley & Sons, 2005.

[3] Barrett, Foundations of Image Science.


86868686


CCoouurrssee NNaammee:: PPHHOOTTOONNIICC DDEEVVIICCEESS





Objectives:

Topics:

• Photonic Technology.

Introduction, Key aspects, Applications.

• Propagation of Light waves.

Rays, Gaussian beams, Waves, Fourier optics, Lenses and mirrors, Diffraction.

• Optics of Anisotropic Media.

Polarization optics, Optical waves in crystals, Birefringence, Wave plates, Polarizing

beam-splitters, Optical activity.

• Guided-Wave Optics.

Dielectric waveguides, Fibers, Periodic structures, Dispersion, Waveguide coupling,

Plasmonic waveguides.

• Optical Resonators and Filters.

Fabry-Perot Etalons, Multi-cavity etalons, Modes and resonant frequencies, Micro-

ring resonators, Distributed feedback (DFB) resonators.

• Electro-Optic (EO) Devices.

The electro-optic effect, Pockels and Kerr EO effects, Wave propagation in EO

crystals, Electro-absorption, EO Modulators, EO beam deflectors.

• Nonlinear (NL) Optics.

EM formulation of NL interaction, Second- and third-order NL phenomena, Wave

mixing, Harmonic generation, Parametric processes, Coupled-wave theory,

Anisotropic NL media.

• Ultrafast Optics.

Characteristics of optical pulses, Pulse propagation in dispersive media, Pulse

shaping and compression, Ultrafast linear and nonlinear optics.

• Semiconductor Optics.

Interactions of photons and charge carriers, Light-emitting diodes, Laser diodes,

Semiconductor optical amplifiers, Photodetectors, Photoconductors, Photodiodes.

References

[1] B. E. A. Saleh, M. C. Teich, Fundamentals of Photonics.

[2] A. Yariv, P. Yeh, Photonics: Optical Electronics in Modern Communications.

[3] S. L. Chuang, Physics of Optoelectronic Devices.


87878787


CCoouurrssee NNaammee:: PPLLAASSMMOONNIICCSS && MMEETTAAMMAATTEERRIIAALLSS





Objectives:

Topics:

• ELECTROMAGNETICS OF METALS.

Maxwell’s Equations and Electromagnetic Wave Propagation.

Electromagnetic Energy in Dispersive Medium.

The Dielectric Function of Metals.

The Dispersion of the Free Electron Gas and Volume Plasmons.

Real Metals and Interband Transitions.

• SURFACE PLASMON POLARITONS AT METAL / INSULATOR INTERFACES.

The Wave Equation.

Surface Plasmon Polaritons at a Single Interface.

Excitation of Surface Plasmon Polaritons.

Multilayer Systems.

Two Dimensional Waveguides.

• LOCALIZED SURFACE PLASMONS.

Scattering by a Sub-Wavelength Sphere.

Scattering by a Sub-Wavelength Ellipsoid.

Sub-Wavelength Sphere on a Substrate.

• METAMATERIALS.

Electromagnetics of Negative Index Medium.

Perfect Lens.

Implementation of Negative Refractive Index.

Transformation Optics.

Surface Plasmon Polaritons at Low Frequencies.

• EXTRAORDINARY TRANSMISSION OF LIGHT FROM SUB-WAVELENGTH APERTURES.

• GRAPHENE PLASMONICS.

References

[1] S. A. Maier, Plasmonics: Fundamentals and Applications.

[2] C. Caloz, T. Itoh, Electromagnetic metamaterials: transmission line theory and

microwave applications.

[3] S. Bozhevolnyi, Plasmonic Nanoguides and Circuits.

[4] C. F. Bohren, D. R. Huffman, Absorption and scattering of light by small particles.

[5] G. Hocker, W. K. Burns, Mode dispersion in diffused channel waveguides by the

effective index method.


88888888

[6] J. Burke, G. Stegeman, T. Tamir, Surface-polariton-like waves guided by thin, lossy

metal films.

[7] A. Pinchuk, A. Hilger, G. von Plessen, U. Kreibig, Substrate effect on the optical

response of silver nanoparticles.

[8] J. B. Pendry, Negative refraction makes a perfect lens.

[9] D. R. Smith, D. Schurig, M. Rosenbluth, S. Schultz, S. A. Ramakrishna, J. B. Pendry,

Limitations on subdiffraction imaging with a negative refractive index slab.

[10] S. Maslovski, S. Tretyakov, P. Belov, Wire media with negative effective permittivity:

A quasi-static model.

[11] R. Marqués, F. Medina, R. Rafii-El-Idrissi, Role of bianisotropy in negative

permeability and left-handed metamaterials.


89898989


CCoouurrssee NNaammee:: TTEERRAAHHEERRTTZZ TTEECCHH





Objectives:

Topics:

• Introduction.

THz Gap, History, Importance, Challenges, Outlook.

• Fundamentals.

Electromagnetic waves in matter, Radiation and elementary excitations, Basic

semiconductor physics, Basic quantum mechanics.

• Generation of THz Waves.

Photonic-based methods, Solid-state sources, Vacuum electronic devices, Quantum

cascade lasers, Free-electron lasers.

• Detection of THz Waves.

Coherent and non-coherent detectors, Bolometers, Gollay cells, Schottky diodes,

Potoconductive antennas, Heterodyne detection.

• Materials in the THz Band.

Interaction of THz waves with matter, Dielectrics, Metals, Absorption and

propagation.

• THz Time-Domain Spectroscopy.

Setups, Measurements, Applications.

• THz Passive and Guided-Wave Devices.

Waveguides, Photonic Crystals, Filters, Metamaterials.

• THz Antennas.

• THz Modulators.

• THz Sensing and Imaging.

• THz Waves Applications.

Industry, Security, Biology, Astronomy, Communications.

• Advanced Topics and Devices.

References

[1] Y. Lee, Principles of Terahertz Science and Technology.

[2] K. Sakai, Terahertz Optoelectronics.

[3] S. Dexhaimer, Terahertz Spectroscopy: Principles and Applications.

[4] G. Gruener, Millimeter and Submillimeter Wave Spectroscopy of Solids.

[5] D. Woolard, W. Loerop, M. Shur Terahertz Sensing Technology: Electronic Devices

and Advanced Systems Technology.

[6] S. Lien Chuang, Physics of Optoelectronic Devices.


90909090

PPaarrtt TTwwoo

EElleeccttrroonniiccss GGrroouupp


91919191


CCoouurrssee NNaammee:: MMIICCRROOWWAAVVEE IICC




Last Edition: Unknown. Group: Electronics

Objectives:

Topics:

• Overview of Fields and Waves.

• MMIC’s Fabrication Technology.

• Passive Components.

• Synthetic Active Devices (III-V).

• Microwave Amplifiers.

• Integrated Microwave Oscillators.

• Mixers and Nonlinear Circuits.

• Switches, Attenuators and Phase Shifters.

• Layout Design Techniques.

• Testing Teqniques For Designed Circuits.

• Applicable Testing Techniques for Microwave Chips.

References:

[1] I. D. Robertson, S. Lucyszyn, RFIC & MMIC design & technology, 2001.

[2] M. Golio, RF & Microwave Semiconductor Device, 2003.

[3] W. Liu, Fundamentals of III-V Devices, 1999.

[4] I. Bahl,. Bhartia, Microwave Solid State Ciruit Design, 2003.

[5] D. M. Pozar, Microwave & RF Design Wireless System, 2000.

[6] L. G. Maloratsky, Passive RF & Microwave Integrated Circuits.

[7] S. Marsh, Practical MMIC Design, 2006.

[8] P. H. Ladbrooke, MMIC Design: GaAs EEFs & HEMTs, 1989.

[9] R. Soares, GaAs MESFET Circuit Design, 1998.


92929292


CCoouurrssee NNaammee:: SSEEMMIICCOONNDD TTEECCHH




Last Edition: F2012 Group: Electronics

Objectives:

Topics:

• Semiconductor Crystals.

• Thermal Oxidation and Nitridation.

• Thin Film Deposition.

• Lithography.

• Contamination Control and Etch.

• Ion Implantation.

• Diffusion Contact and Interconnect Technology.

• CMOS Technology.

References:

[1] B. El-Kareh, Fundementals of Semiconductor Processing Technology, Kluwer

Academic Publishers, 1995.

[2] J. D. Plummer, M. D. Deal, P. B. Griffin, Silicon VLSI Technology Fundamentals,

Practice and Modeling, Prentice Hall, 2000.


93939393


CCoouurrssee NNaammee:: AADDVV SSOOLLIIDD SSTTAATTEE PPHHYYSS





Objectives: Learning electronic properties of solid state materials for analysis, design and

fabrication of advanced solid state devices.

Topics:

• Crystal Structures and Reciprocal Lattice.

• Atomic Bonding and Crystal Types.

• Acoustics and Phonons.

• Thermal Properties of Solids.

• Atomic Structure.

• Free-Electron Theory.

• The Band Theory of Electronic Conduction.

• Fermi Surfaces and Metals.

• Semiconductor Fundamentals and PN Junction.

• Plasmons, Polaritons and Polarons.

• Dielectrics and Optical Properties.

References:

[1] A. Kittle, Introduction to solid states physics, John Wiley and Sons, 2005.

[2] S. Wang, Fundamentals of semiconductor theory and device physics, Prentice-Hall,

1989.

[3] N. W. Ashcroft, N. D. Mermim, Solid state physics, Holt Rinehart Winston, 1986.

[4] Pierret, Advanced Semiconductor Fundamentals, Prentice Hall, 2002.

[5] Moliton, Solid State Physics for Electronics, John Wiley & Sons, 2009.


94949494


CCoouurrssee NNaammee:: OOPPTTOOEELLEECCTTRROONNIICCSS





Objectives:

Topics:

• Photon source.

Light emitting diodes (LEDs).

Laser diode.

Special laser diodes.

Optical based displays on LED, LCD, …

• Optical detectors.

Diode photo detectors.

Avalanche diode photo detector.

CCDs and film camera in different spectrums.

• Optical Fiber and optical waveguides.

• Passive optical devices.

• Optical amplifiers.

• Electro optic modulators.

• Optical gyroscopes.

• Fiber optic sensors.

• Photonic crystals.

• Optical integrated circuits.

References:

[1] G. P. Agrawal, Fiber optics Communication system, John Wiley & Sons, 2011.

[2] P. N. Prasad, Nanophotonics, John Wiley & Sons, 2004.


95959595


CCoouurrssee NNaammee:: SSUUPPEERR CCOONNDD DDEEVVIICCEESS





Objectives: To learn the principles of the superconductivity devices and circuits for graduate

students in the Electrical Engineering.

Topics:

• Review of Superconductivity characteristic properties.

• Review of Meissner state and flux quantization.

• Review of two fluid model (London model) & Ginsburge-Landau theory & its

applications.

• Principles and results of BCS theory.

• Tunneling in normal-superconductor structures.

• Josephson tunnel junctions.

• Effects of magnetic field on JJs and its characteristics.

• Superconductive Quantum Interference Devices (dc-SQUID and rf-SQUID

magnetometers and gradiometers).

• Bolometric detectors and mixers.

• Principles and applications of Flux flow oscillators.

• Voltage state & Single-Flux-Quantum digital circuits.

• Rapid Single Flux Quantum (RSFQ) Logic.

• Memories in Josephson and Hybrid Technologies.

References:

[1] T. Van Duzer, C. W. Turner, Principles of Superconductive Devices and Circuits,


[2] M. Cyrot, Introduction to Superconductivity, World Scientific, 1992.

[3] A. Rose-Innes, E. Rhoderick, Introduction to Superconductivity, Pergamon, 1988.

[4] Ch. Kittle, Introduction to Solid State Physics, John Wiley & Sons, 1996.

[5] M. Tinkham, Introduction to Superconductivity, McGraw-Hill, 1996.


96969696


CCoouurrssee NNaammee:: QQUUAANNTTUUMM TTRRAANNSSPPOORRTT





Objectives:

Topics:

• Schrödinger Equation.

• Self-Consistent Field.

• Basis functions.

• Energy Band Structure.

• Subbands.

• Capacitors.

• Level Broadening.

• Coherent Transport.

• Non-Coherent Transport.

References:

[1] S. Datta, Quantum Transport: Atom to Transistor, Cambridge University Press, 2005.

[2] Ferry, D. K. Jacoboni, Carlo, Quantum Transport in Semiconductors, Springer, 1992.


97979797


CCoouurrssee NNaammee:: OOPPTTIICCAALL IICC





Objectives: Familiarity with methods of analysis and design of passive devices used in

integrated optics, including optical waveguides, couplers, modulators, gratings and their

applications.

Topics:

• Wave equations in isotropic media.

• Slab optical waveguides.

• Channel optical waveguides.

• Directional couplers.

• Coupling of light to and out of waveguides.

• Fabrication methods of optical waveguides.

• Wave equations in anisotropic media.

• Grating analysis.

• Acousto-optic modulators.

• Electro-optic modulators.

• Magneto-optic modulators.

• Applications (optical A/D and D/A, switching, logic, …).

References:

[1] Tamir, Marcuse, Ishimaru, Nashdhara Adams, Havser.


98989898


CCoouurrssee NNaammee:: SSUUPPEERRCCOONN PPRRIINN





Objectives: Introduction to Foundations and Principles of Superconductivity and Future

Works for MSc and PhD Students.

Topics:

• An Overview of Superconductivity and Superconducting Materials.

• Characteristic Properties of Superconductors and Their Thermal Parameters.

• Superconductivity Parameters and Flux Quantization Topic.

• Perfect Conductivity and Meissner effect.

• London Model and Two-fluid model.

• London Model Applications.

• Principles of BCS Theory.

• The Ginzburg-Landau Theory.

• Electromagnetic Properties of Type-1 and Type-2 Superconductors.

• Ginzburg-Landau Theory Applications.

• Critical Current and Critical Field in Superconductors.

• Principles of Critical State Models and Their Applications.

References:

[1] M. Cyrot, D. Pavuna, Introduction to Superconductivity and High-Tc Materials, World

Scientific, 1992.

[2] A. C. Rose-Innes, E. H. Rhoderick, Introduction to Superconductivity, Pergamon

Press, 1988.

[3] Ch. Kittle, Introduction to Solid State Physics, John Wiley & Sons, 1996.

[4] T. Van Duzer, C. W. Turner, Principles of Superconductive Devices and Circuits,


[5] M. Tinkham, Introduction to Superconductivity, McGraw-Hill, 1996.


99999999


CCoouurrssee NNaammee:: CCMMOOSS CCIIRR DDEESSIIGGNN II





Objectives:

Topics:

• Basic device physics.

• Fabrication.

• Scaling.

• Short channel effects.

• Device mode.

• Noise in MOS transistors.

• Single-stage MOS amplifiers.

• CS/CG/CD.

• Differential amplifier stage.

• Current sources/ Current mirrors.

• Single-stage OPAMP design.

Telescopic.

Folded cascade.

Gain boosting.

Rail-to-rail input stage.

• Multi-stage OPAMP design.

Miller compensation.

Nested Miller Compensation.

• Common mode feedback.

• Output stages and class AB amplifiers.

• Bandgap reference circuits.

• Switch-capacitor circuits.

• gm-c circuits.

References:

[1] B. Razavi, Design of Analog CMOS integrated circuits.


100100100100


CCoouurrssee NNaammee:: CCMMOOSS CCIIRR DDEESSIIGGNN IIII





Objectives: Advanced Design techniques in wide-band low voltage CKTs.

Topics:

• Layout techniques.

Bonding Pads

ESD Protection CKTs.

Mismatch & yield.

Thermal model/ behavior of integrated CKTs.

Sub-strode noise.

• Technology review: CMOS, BICMOS.

• Low Voltage / Power Opamp design.

• Low Voltage / Power Filter design.

Switched-cap filters.

Gm-c filters.

RC-active filters.

• Current mode CKTs.

Current mode filters.

Voltage mode vs current mode.

• Design examples.

Sigma-Delta modulators.

Equalizer.

Optical receivers.

References:


101101101101


CCoouurrssee NNaammee:: SSEEMMIICCOONNDD DDEEVV CCHHAARR





Objectives: Introduction to Carrier Transport Equations in Semiconductor, How to make

Meshes and Decomposition of Equations According to Quantity of Mesh Points, How to

Apply Boundary Conditions and Scale Equations, Methods of Solving Linear and Nonlinear

Equations Systems, Introduction to Monte Carlo Method and Solving Boltzmann Equations.

Topics:

• Semiconductor Equations.

• The Physical Parameters.

• Boundary Conditions and Scaling.

• The Discretization of the Equations.

• The Solution of Systems of Nonlinear Algebraic Equations.

• The Solution of Sparse Systems of Linear Equations.

• Monte Carlo Method.

References:

[1] S. Selberherr, Analysis and Simulation of Semiconductor Devices, Springer-Verlag,

1984.

[2] G. Wachutka, G. Schrag, Simulation of Semiconductor Processes and Devices,

SISPAD, 2004.

[3] Z. Cullen, Differential Equations With Boundary Value Problems, Chapter 9 and 15.

[4] K. M. Kramer, W. Nicholas, G. Hitchon, Semiconductor Devices a simulation

approach, Prentice Hall.

[5] D. Vasileska, S. M. Goodnick, Computational Electronics, Morgan & Claypool, 2006.


102102102102


CCoouurrssee NNaammee:: AAPPPPLLIIEEDD QQUUAANNTTUUMM MMEECCHHAANNIICCSS





Objectives: Introduction to Particle and Wave Properties of Particles, Introduction of

Schrödinger equation, Tunneling Quantum Phenomenon, Harmonic Oscillators and Some

Examples of Related Physical Systems, Introduction of Basic Functions and Operators for

Simpler Solving of Equations, Approximation Method of Stationary Perturbation Potentials

and Time Function, Some Examples of Perturbation Method Application in Centrally

Symmetric Systems,degenerate Energy Level Formation, Non-Symmetric Systems Analysis.

Topics:

• Waves and particles.

• The Schrödinger equation.

• Tunneling.

• The harmonic oscillator.

• Basis functions, operators, and quantum dynamics.

• Stationary perturbation theory.

• Time-dependent perturbation theory.

• Motion in centrally symmetric potentials.

• Electrons and anti-symmetry.

References:

[1] D. K Ferry, Quantum Mechanics: An Introduction for Device Physicists and Electrical

Engineers, Institute of Physics Publishing, 2001.

[2] A. F. J. Levi, Applied Quantum Mechanics, Cambridge University Press, 2003.

[3] W. A. Harrison, Applied Quantum Mechanics. World Scientific, 2000.

[4] P. L. Hagelstein, S. D. Senturia, T. P. Orlando, Introduction to Applied Quantum and

Statistical Physics, Wiley, 2004.

[5] Miller, Quantum Mechanics for Scientists and Engineers, Cambridg, 2008.


103103103103


CCoouurrssee NNaammee:: AADDVV SSOOLLIIDD SSTTAATTEE DDEEVVIICCEESS





Objectives:

Topics:

• Review on semiconductors physics.

• Hetrostructure p-n junctions.

• Devices based on MOS capacitors.

• MOSFET.

• Advance subjects in BJT devices including HBT.

• Advance JFET, MESFET, MODFET devices.

• High frequency devices including tunneling devices and IMPATT.

• Quantum structure devices.

• Optical devices.

References:

[1] S. M. Sze, K. Kwok, Physics of Semiconductor Devices, JOHN WILEY & SONS, 2007.

[2] Y. Taur, T. H. Ning, Fundamentals of Modern VLSI Devices, Cambridge University

Press, 2009.


104104104104


CCoouurrssee NNaammee:: RRFF IINNTTEEGGRRAATTEEDD CCIIRRCCUUIITTSS





Objectives: Integrated Circuits Design Education in Telecommunication Applications.

Topics:

• A glance on the history of wireless communication.

• Metrics.

Nonlinearity: Gain compression, Intermodulation, Cascaded stages.

Noise: Device noise model, SNR, NF, Cascaded stages.

Dynamic range.

SFDR.

• Modulation.

Analog.

Digital.

Quadrature.

• Standards.

Tranceiver architectures.

Receivers: Heterodyne, Homodyne, Low IF and image rejection, Digital receivers.

Transmitters.

• Low noise amplifiers.

Input matching.

CS/CE config.'s.

CG/CB config.'s.

Feedback config.'s.

Noise cancellation techniques.

Variable gain techniques.

• Mixers.

General model.

Single balanced.

Double balanced.

Passive mixers.

Linearity.

Noise.

• Oscillators.

Review of oscillator topologies.

VCO.

Phase noise.

Low noise oscillator design.


105105105105

• Frequency synthesizers.

PLL.

Type I and II PLL's.

Noise.

Integer-N.

Fractional-N.

Frequency dividers.

AFC.

• Power amplifiers.

Class A.

Class B.

Class C.

Class D.

Class E.

Class F.

Linearization techniques.

• AGC and wide-band detectors.

• Base band circuits.

• Case study.

References:

[1] B. Razavi, RF Microelectronics.

[2] Tom. H. Lee, The Design of CMOS Radio Frequency Integrated Circuits.


106106106106


CCoouurrssee NNaammee:: QQUUAANNTTUUMM OOPPTTIICCSS





Objectives: This course has been designed and offered in the school of Electrical

Engineering, to provide a solid background to the basic theory of optical properties of

nanostructures and rapidly growing quantum computing technology.

Topics:

• An Overview of Quantum Optics.

• Review of Quantum Mechanics.

• Wigner Functions.

• Quantum States in Phase Space.

• Waves and WKB Solutions.

• WKB and Berry (Geometrical) Phase.

• Field Quantization.

• Field States.

• Phase Space Functions.

• Atom-Field Interaction.

• Jaynes-Cummings-Paul Model.

• State Preparation and Entanglement.

• Paul Traps.

• Damping and Amplification.

• Atom Optics in Quantizad Light Fields.

• Winger functions in Atom Optics.

• Elements of Quantum Information.

References:

[1] W. P. Schleich, Quantum Optics in Phase Space, Wiley-VCH, 2001.

[2] W. T. Hill, H. Lee, Light-Matter Interaction, Wiley-VCH, 2007.

[3] W. P. Schleich, H. Walther, Elements of quantum Information, Wiley-VCH, 2007.


107107107107


CCoouurrssee NNaammee:: MMOODDEELLIINNGG && DDEESSIIGGNN OOFF VVLLSSII IINNTTEERRCCOONNNNEECCTTSS



First Presentation: S2011 Level: Ph.D.


Objectives:

Topics:

• Review of VLSI technology.

Moore’s Law.

Trends and challenges in scaling.

Evolution of Interconnects.

Future of Interconnects.

• Scaling Issues.

Device and Interconnect limitations.

Material and circuit solutions.

Electromigration (voids / hillocks).

• Interconnect Fabrication.

Wet substrate etching.

Lift-off technique.

Reactive ion etching.

Dual damascene (copper).

Limits on wire width (erosion and dishing).

• Wire length distribution.

Rent's rule.

Davis model.

• Transmission Line Review and Definitions.

Plane wave equations.

TEM Mode for lossless and lossy metal wires.

Inductance (partial inductance, loop inductance).

Capacitance (decoupling capacitance).

Resistance (size effects, surface roughness, grain scattering, liners).

• Interconnects as Transmission Line.

Skin effect.

Delay calculations, RC vs RLC line (Elmore delay, Sakurai delay).

Ramp input.

Noise (victim/source, noise vs. signal rise time) in/out of phase switching.

Multi level interconnect network.

Repeater insertion (optimal repeater).

Power dissipation (dynamic power, leakage power, short circuit power).

Power optimization (Lagrangian Multiplier).


108108108108

Power distribution network.

Clock networks.

Bit-rate limitations.

IntSim CAD Tool.

• Novel Solutions.

• Optical Interconnect.

• Carbon Nanotubes/Graphene vs. Copper wires.

References:

[1] H. B. Bakoglu, Circuits, Interconnections, and Packaging for VLSI.

[2] J. A. Davis, J. D. Meindl, Interconnect Technology and Design for GSI.

[3] J. Nurmi, Interconnect-Centric Design for Advanced SOC and NOC.

[4] C. K. Cheng, J. Lillis, S. Lin, N. Chang; Interconnect Analysis and Synthesis.

[5] S. H. Hall, G. W. Hall, J. McCall, High-Speed Digital System Design.

[6] Johnson, Graham, High Speed Signal Propagation.


109109109109


CCoouurrssee NNaammee:: IINNTTEEGGRRAATTEEDD FFIILLTTEERR DDEESSIIGGNN



First Presentation: F2005 Level: Ph.D.


Objectives: The students have learned CMOS analog design intensively in a graduate CMOS-I

course. The students have also been introduced to filter design and synthesis before. The

purpose of this graduate level course is to utilize these two backgrounds and help students

to design integrated analog filters such as Switched-Capacitor Filters, Active-RC filters and

Gm-C filters. The students will get a full exposure to practical on-chip implementation of

these filters with different design examples. In light of the high-Q requirements of tunable

RF band-pass filters, recently a new class of RF integrated filter structure has been

introduced which is called “N-Path filter”. There will be an introduction and implementation

tutorial of this class of filters which is extensively gaining attention for use in RF receivers

and has a high potential to grow. There will be several sets of homework and a design

project in this course. Also, there will be several handouts and a separate well-prepared

exclusive note for N-path filters.

Topics:

• Technology.

Design of High-Performance Analog Circuits in Digital CMOS Chips.

Overview of filter design (cascade, ladder, approximations, sensitivity).

• Continuous-time Active-RC filters.

Active RC Filters.

Signal flow Graph.

OPAmp RC Integrator.

LC Ladder.

Tunable Active-RC Filters.

Nonidealities.

• Sampled – data Filters.

Switched-Capacitors Filters.

Basic structure.

Nonidealities.

Signal Flow Graph.

Integrator Based.

Direct implementation.

Switched-Current Filters.

• N-Path Filters.

Cognitive radio.

Why we need High Quality factor N-Path Filters.

High-Q Tunable Bandpass N-Path Filters.


110110110110

History, and the Principles of N-Path filters.

An Intuitive look at N-path Filters.

Implementation of a Capacitor-Resistor differential N-Path Filter.

The Characteristics of Impedance Transfer in N-Path Filters.

Implementation of a differential High-Q N-Path Filter.

On-Chip application of N-path filter as a substitute of SAW filter.

Implementation of complex N-path filters using Complex Impedance.

• Continuous Time Gm-C Filters.

Introduction to Gm-C Filters

Filter Implementations Technique: SFG, Element replacement, Chain method.

Transconductor Design.

Differential Gm Cells.

• Fully Balanced Filters & Circuits.

• Automatic Tuning of Continuous-time Filters.

Non ideal Effects.

Frequency Tuning.

Q-tuning.

Different tuning methods.

• Deep-submicron Analog Filter Design (Case Studies).

High Dynamic Range Low Voltage Filters.

Recent Works on Gm-C Filters.

References:


111111111111


CCoouurrssee NNaammee:: SSIIMMUULLAATTIIOONN SSEEMM DDEEVV





Objectives: This course gives an in-depth knowledge in simulation of device physics for

advanced semiconductor devices for all application areas. The implementation of the

semiconductor equations and the solution using the finite difference method, finite element

method and finite volume method is explained. After the course, the student should be able

to analyze boundary conditions, analyze discretization in one and two dimensions, analyze

semiconductor device operation and design geometries for physical problems.

Topics:

• Fundamentals of electromagnetism and its numerical analysis.

• Basic semiconductor equations.

• Boundary Conditions and scaling.

• Discretization in one and two dimensions of semiconductor equations.

• The solution of System of Nonlinear Algebraic Equations.

• The solution of Sparse Systems of linear Equations.

• Kinetic transport models, including Monte Carlo simulation.

References:

[7] S. Selberherr, Analysis and Simulation of Semiconductor Devices, Springer-Verlag,

1984.

[8] G. Wachutka, G. Schrag, Simulation of Semiconductor Processes and Devices,

SISPAD, 2004.

[9] Z. Cullen, Differential Equations With Boundary-Value Problems, Chapter 9 and 15.

[10] K. M. Kramer, W. Nicholas, G. Hitchon, Semiconductor Devices – a simulation

approach, Prentice Hall.

[11] D. Vasileska, S. M. Goodnick, Computational Electronics, Morgan & Claypool, 2006.


112112112112


CCoouurrssee NNaammee:: SSPPIINNTTRROONNIICC DDEEVVIICCEESS





Objectives:

Topics:

• Optical phenomena in magnetic semiconductors.

• Bipolar spintronics.

• Probing and manipulating spin effects in quantum dots.

• Spin-dependent transport in single-electron devices.

• Spin-transfer torques and nanomagnets.

• Tunnel spin injectors.

• Theory of spin-transfer torque and domain.

• Spin injection and spin transport in hybrid nanostructures.

• Andreev reflection at ferromagnet / superconductor interfaces.

References:

[1] S. Maekawa, Concepts in Spin Electronics, Oxford University Press, 2006.

[2] T. Dietl, D. D. Awschalom, M. Kamin´ska, H. Ohno, spintronics, Academic Press, 2008.


113113113113


CCoouurrssee NNaammee:: IINNTTEEGGRRAATTEEDD PPOOWWEERR AAMMPP





Objectives:

Topics:

• Basics of power amplifiers (PAs).

• Review of integrated processes for implementation of PAs (CMOS, GaAs, GaN).

• Linear PAs (class A, B, AB).

• Nonlinear PAs (class C, D, E, F, …).

• Efficiency improvement techniques for PAs.

• Linearization techniques for PAs.

• High-Power amplifiers.

• Simulation of PAs.

References:

[1] I. J. Bahl, Fundamentals of RF and microwave transistor amplifiers, John Wiley &

Sons, 2009.

[2] S. C. Cripps, RF power amplifiers for wireless communications, Artech House, 2006.

[3] S. C. Cripps, Advanced techniques in RF power amplifier design, Artech House, 2002.

[4] A. P. de Hek, Design, Realisation and Test of GaAs-based MonolithicIntegrated X-

band High-Power Amplifiers, PhD Thesis, 2002.


114114114114


CCoouurrssee NNaammee:: EELLEECCTTNN DDSSGGNN FFOORR HHAARRSSHH EENNVVIIRROONN

Type & Max Unit: Constant 3 Course Type: with Project.




Objectives:

Topics:

• Introduction.

Definition of Harsh Environment (high temperature, radiation, shock and vibration).

Examples for harsh environment applications (Automotive electronics, Well Logging,

Space Electronics).

• High Temperature Electronics.

Introduction.

Thermal behavior of semiconductors.

Effects of high temperature on Integrated Circuits.

Effects of high temperature on packaging.

Effects of high temperature on PCB level.

Thermal behavior of passive components.

Proper technologies for high temperature applications.

• Ionizing Radiation and Hardening.

Introduction and definitions.

Radiation Sources.

Radiation physics and characteristics.

Radiation effects on semiconductors and integrated circuits.

Hardening methods.

Examples for hardened products.

Hardening test methods.

• Shock and Vibration.


Typical vibrating frequencies and amplitude in different conditions.

Vibration effects on electronic boards.

Natural frequency estimation.

Methods for increasing natural frequency of a board.

Supporting elements and their characteristics.

Shock.

• Reliability.


Theory of reliability.

Statistical models.

Life-time estimation methods.


115115115115

Failure mechanisms in semiconductors.

Design for reliability (methods for improving reliability).

• Electrostatic Discharge.

Electrostatic charge.

Electrostatic Discharge models.

High voltage/high current behavior of semiconductors.

Protection circuits structures.

Protection elements.

Protection circuits requirements.

High frequency ESD protection.

Lay out of ESD protection circuits.

• Electromagnetic Compatibility.

Electromagnetic Compatibility and Electromagnetic Interference Definition.

Interference reduction methods in IC level.

Interference reduction methods in board level.

Interference reduction methods in system level.

References:

[1] R. Kirschman, High-Temperature Electronics.

[2] R. Remsburg, Thermal Design of Electronic Equipment.

[3] X. Yu, High-Temperature Bulk CMOS Integrated Circuits for Data Acquisition.

[4] W. J. Greig, Integrated Circuit Packaging, Assembly and Interconnections.

[5] S. R. McHeown, Mechanical Analysis of Electronic Packaging Systems.

[6] R. Tricker, S. Tricker, Environmental Requirements for Electromechanical and

Electronic Equipment.

[7] D. S. Steinberg, Vibration Analysis for Electronic Equipment.

[8] A. M. Veprik, Vibration Protection of Critical Components of Electronic Equipment in

Harsh Environmental Conditions.

[9] L. Najafizadeh, Design of Analog Circuits for Extreme Environment Applications.

[10] E. R. Hnatek, A Selected Practical Reliability of Electronic Equipment and Products.

[11] W. Lawson, The Effect of Design and Environmental Factors on The Reliability of

Electronic Products.


116116116116


117117117117

PPaarrtt TThhrreeee

PPoowweerr GGrroouupp


118118118118


CCoouurrssee NNaammee:: EENNGG SSYYSS RREELLIIAABBIILLIITTYY




Last Edition: Unknown. Group: Power

Objectives: Introduction with modeling and calculation of reliability in engineering systems.

Topics:

• Introduction to reliability in engineering systems.

• All kinds of engineering systems.

• Principles of probability theory.

• Stochastic variables, continuous and discrete probability distribution function and

their applications.

• Failing rate, tube like curve, reliability and failing probability functions and effects of

maintenance.

• Simple systems reliability, series, parallel and compound systems reliability,

redundant and emergency systems.

• Complex systems reliability.

• Reliability of systems with several failing mode elements.

• Application of distribution functions in reliability calculations.

• Fault tree analysis.

• Event tree analysis.

• Simulation and analysis of availability in repairable systems.

• Markov model and its applications in systems availability evaluation.

• Frequency model and fault duration.

• Approximate methods in reliability calculations.

• Monte-Carlo simulation.

• Reliability and economy.

References:

[1] R. Billinton, R. N. Allan, Reliability Evaluation of Engineering Systems.

[2] H. Kumamoto, E. J. Henley, Probabilistic Risk Assessment for Engineers and

Scientists, IEEE Press.

[3] J. Pukite, P. Pukite, Modeling for Reliability Analysis, IEEE Press.

[4] M. L. Shooman, Reliability of Computer Systems and Networks, John Wiley.

[5] C. E. Eberling, An Introduction to Reliability and Maintainability Engineering, McGraw

Hill.


119119119119


CCoouurrssee NNaammee:: EELLEECC MMAACCHHIINNEESS DDSSGGNN




Last Edition: F2012 Group: Power

Objectives: Principles of electrical machine design including electromagnetic and thermal

design for various applications. Introduction to optimization and its application to electrical

machine design.

Topics:

• Principles of electrical machine design.

• Principles of optimization.

• Formulation of objective function and constraints.

• Economics of optimal electrical machine design.

• Principles of the design of various electrical machines including transformers, dc

machines, three-phase and single–phase induction motors and synchronous

generators.

• Electromagnetic design of electrical machines.

• Thermal design of electrical machines.

• Future trends in optimal design of electrical machines taking into account power

quality issues.

References:

[1] I. Boldea, S. A. Nasar, The induction machine handbook, CRC express, 2001.

[2] T. A. Lipo, Introduction to AC machine design, University of Wisconsin-Madison,

2004.

[3] M. G. Say, Performance and design of AC machines, Pitman, 1970.

[4] F. Fu, X. Tang, Induction machine design handbook, China Machine Press, 2002.

[5] J. Pyrhonen, T. Jokinen, V. Hrabovcova, Design of Rotating Electrical Machines, John

Wiley & Sons, 2008.


120120120120


CCoouurrssee NNaammee:: DDEESSIIGGNN OOFF EELLEEMMEENNTTSS PPWWRR EELLEECC





Objectives:

Topics:

• General block diagram of a power electronic converter.

• Behavior of passive elements in transient regime.

• Design of magnetic elements.

• Gate drive circuits.

• Measurement in power electronics.

• Snubber design.

• Protection circuits.

• Electromagnetic compatibility.

• Sequencing in power electronic converters.

• Thermal management.

• PCB design.

• Application of digital control in power electronics.

• Integration in power electronics.

• Reliability in power electronic converters.

• Design of unconventional power electronic converters.

• Summary: A complete sample design of a power electronic converter.

References:

[1] Pressman, Switching power supply design.

[2] Vergese, Nonlinear phenomena in power electronics.

[3] Erickson, Fundamental of power electronics.

[4] Rossetti, Managing power electronics.

[5] Mohan, Power electronics converters: Design and control.

[6] Kerin, Elements of power electronics.

[7] Ott, Electromagnetic compatibility.

[8] McLyman, Transformer and inductor design handbook.


121121121121


CCoouurrssee NNaammee:: PPWWRR SSYYSS RREESSTTRRUUCCTT





Objectives: Introduction to classical power systems structure (VIU), considering electrical

energy as a commodity in electricity market. The need for new structures and their

advantages and shortcomings will be discussed in this course. Then new structures’ effects

on usual methods in power systems planning and operation will be introduced. In addition

experiences of other countries about restructuring, implementation and role of ICT and new

technologies in the recent structure will be discussed.

Topics:

• Introducing classical structure.

Introducing economical and social structure of electricity industry.

History of classical structure (VIU).

Negative and positive attitude about classical structure.

Introduction to economical theories.

• Restructuring.

The need for restructuring.

Important elements in restructuring and introduction to restructuring methods.

Effect of new structure on classic programming and operation and management.

Experience of other countries in restructuring.

Social and economical cycle of large industries.

• ISO, PX, SC electricity market supervision and control.

• Restructured systems operation.

Load and price forecasting.

PBUC.

SCUC.

• Ancillary services.

Reactive power provision.

Reserve provision.

Load and frequency control.

• Pricing in open markets (generation, transmission, distribution, consumption).

Pricing for consumption and generation of electrical power.

Transmission pricing for power pool and bilateral contract markets.

Congestion and pricing.

Ancillary service pricing.

• FACTS systems and their placement.

References:


111122222222

[1] M. Shahidehpour, M. Alomoush, Restructured Electric Power Systems, Marcel

Decker, 2001.

[2] D. Kirschen, G. Strbac, Fundamentals of Power System Economics, Wiley, 2004.

[3] Galvanic, M. Ellic, Understanding of Deregulation, IEEE Press.

[4] M. shahidehpour, H. yamin, Z. Li, Market Operation in Electric Power Systems, IEEE

Wiely, 2002.

[5] B. F. Hobbs, The Next Generation of Electric Power Unit Commitment Models,

Kluwer, 2001.

[6] Game Theory Applications in Electric Power Markets, IEEE Tutorial, 1999.


123123123123


CCoouurrssee NNaammee:: PPWWRR SSYYSS DDYYNNAAMMIICCSS 11





Objectives: Modern electric power systems are the largest man-made dynamic systems that

are operated in a decentralized and hierarchical structure. Keeping stability of these systems

is vital for their reliable operation. This course aims at studying the internal dynamics of

power systems and their small signal stability. First we will present dynamic model of

system components. Then, dynamic phenomena of the system and their characteristics are

analyzed, and proper controllers are designed to improve overall stability of the system.

Topics:

• Introduction to power systems stability: history, control structure of the system,

basic concepts and definitions of stability.

• Review of stability analysis in state space.

• Small signal stability in single machine system.

• Synchronous machine modeling: classic model, two-axis model and Park transform,

per-unit system, saturation effect, standard parameters, low and high order linear

models for small signal analysis.

• Introduction to excitation systems.

• Effects of the field circuit and excitation system dynamics on low frequency

oscillations.

• Power System Stabilizer(PSS) and its design.

• Multi machine systems modeling and analysis, characteristics of oscillarory modes of

multimachine system.

• Dynamic equivalents and model reduction: coherency-based, modal and

identification methods.

• Advaned issues in PSS design: input signal selection, non-classic control designs.

• Modeling and analysis of other components: mechanical prime mover and load-

frequency control.

• Torsional oscillations and sub synchronous resonance: turbine-generator shaft

torsional characteristic, sub synchronous resonance, interaction between torsional

modes and network controls, remedial actions.

• Improving small signal stability with controllers of transmission network(HVDC,

FACTS).

References:

[1] P. Kundur, Power System Stability and Control, McGraw Hill, 1994.

[2] P. W. Sauer, M. A. Pai, Power System Dynamics and Stability, Prentice Hall, 1998.


124124124124

[3] J. Machowski, J. W. Bialek, J. R. Bumby, Power System Dynamics and Stability, Wiley,

1997.

[4] P. M. Anderson, A. A. Fouad, Power System Control and Stability, IEEE Press, 2003.

[5] G. Rogers, Power System Oscillations, Springer, 1999.

[6] P. M. Anderson, B. L. Agrawal, J. E. Van Ness, Subsynchronous Resonance in Power

Systems, IEEE Press, 1990.


125125125125


CCoouurrssee NNaammee:: PPWWRR SSYYSS RREELLIIAABBIILLIITTYY





Objectives: in this course principles of reliability and the methods of its calculation will be

presented in details. Reliability in generation systems and how to identify the reserve

generation capacity also are other items that will be discussed. Effects of probable crisis in

network such as outage of generation units or outage of transmission lines are the factors

that are important in identifying the reserve capacity. In this course also the indices and

criteria of reliability in distribution systems will be introduced.

Topics:

• Review on reliability of engineering systems-theory.

• Review on reliability of engineering systems-application.

• Review on reliability of generation systems-calculation methods.

• Reliability indices of generation systems.

• Programming of generation systems on basis of reliability indices.

• Reliability in continuous systems.

• Operation and evaluation of reserve capacity in power systems.

• Reliability in compound power systems (generation and transmission).

• Reliability in distribution systems(radius networks).

• Reliability in distribution substation(convoluted networks).

• Reliability of substation and switching centers.

• Reliability from cost and value point of view.

• Reliability of restructured systems.

• Modeling of uncertainties from restructuring in reliability calculations.

• Rule of lateral services in restructured systems area and their effect in reliability.

• Review on MONT-CARLO simulation method and its application in power system

reliability.

References:

[1] R. Billinton, R. N. Allan, Reliability Evaluation of power Systems.

[2] J. Endreng, Reliability Modeling in Electric Power Systems.

[3] W. Li, Risk Assessments of power Systems.

[4] R. Billinton, W. Li, Reliability Assessment of power Systems Using Monte Carlo

Methods.


126126126126


CCoouurrssee NNaammee:: PPWWRR SSYYSS TTRRAANNSSIIEENNTTSS





Objectives: To estimate the probable electrical stresses on high voltage equipments

insulation for optimum insulation design, beside the application of over voltage protective

devices, and power system insulation coordination the different Electric Transient

phenomena in power systems (with internal and external sources) should be studied. In this

course also, some specific transient phenomena, such as: kilometric faults, arcing ground,

ferroresonace, lighting, and different switching (capacities, inductors, short-circuits,

unloaded transmission line, transformer) will be studied.

Topics:

• Fundamentals notions about electrical transients.

• Basic definitions and simple switching over voltages.

• Effect of damping on transient phenomena.

• Abnormal switching transients.

• Test of high voltage circuit breakers and their equivalent circuits.

• Transient analysis of a three phase system.

• Travelling wave, other transients of transmission line, transient model of

transmission line.

• Power equipments modeling for transient study.

• Numerical simulation of electrical transient.

• Lightning and its related induced transient.

• Insulation coordination.

• Protection of power system insulation and its equipments insulation against

transient over voltages.

References:

[1] A. Greenwood, Electrical Transient in Power System, 1991.

[2] L. V. Slius, Transient in Power System, 2001.


127127127127


CCoouurrssee NNaammee:: AANNAALLYYSSIISS OOFF NNEEWW EENNEERRGGYY





Objectives: Decrease of fossil energy sources and their corruptive effect on environment

made utilization of renewable energy sources inevitable. Varieties of renewable energy are

evaluated from the electrical point of view. Renewable energy place among the electrical

energy generation sources in future is presented. And finally we will discuss the problems

that renewable energy sources and distributed generation may cause.

Topics:

• Worlds present energy condition, energy consumption now and future, available

energy sources, reservoirs of energy, electrical energy consumption now and future.

• Introduction to renewable energy sources including wind, solar energy(photovoltaic,

heat).

• Small and large hydro power plants, geothermal energy, biomass energy, low and

high water, perspective of development of renewable energy in future.

• Wind energy- principles of usage of wind energy-evaluate the wing energy sources-

varieties of wind turbines- evaluate the lateral systems especially the electric

components and their control- present and future condition of wind energy usage in

IRAN.

• Solar heating energy – water heaters- air heaters- building heating systems- building

cooling system- solar concentrators – solar heat power plants.

• Photovoltaic solar energy- evaluation of present solar cells and modules

technologies- present and future condition of technologies- application of

photovoltaic energy in single systems- application of photovoltaic energy in network

connected systems- present and future condition of photovoltaic energy in IRAN.

• Small hydroelectric power plants- potential of development of small hydroelectric

power plants in IRAN.

• Other sources of distributed generation, fuel cell, micro turbines, and their effect on

power systems.

References:

[1] N. K. Bansal, Renewable Energy Source And Conversion Technology, Mc Graw- Hill,

1990.

[2] J. M. Gordon, Solar Energy- The State of Art, James and James,2001.

[3] EUREC, the Future for Renewable Energy, James and James, 2002.

[4] T. Markvart, L. Castaner, Practical Handbook of photovoltaic, Elsevier, 2003.

[5] R. Sulliver, Power Systems Planning, 1997.


128128128128


CCoouurrssee NNaammee:: PPOOWWEERR QQUUAALLIITTYY





Objectives: To make students familiar with the basics of power quality (PQ) issues in

industries and power networks including, PQ standards, modeling, estimation and

enhancement.

Topics:

• Power Quality (PQ) Basic Definitions.

Importance.

PQ phenomena.

PQ indices.

Flicker measurement.

PQ standards.

• Power concepts in non-sinusoidal environments.

Single-phase systems.

Three-phase systems.

Instantaneous power theory.

• Power Quality Disturbance Origins.

Industrial power electronic equipment.

Arc furnaces.

House held appliances.

• Processing of Stationary PQ Signals.

Fourier Transforms.

Kalman Filters.

• Processing of Non-Stationary PQ Signals.

Laplace Transform.

Hartley Transform.

Wavelet Transform.

• Harmonics.

Causes and effects.

Harmonic and capacitor banks.

Harmonic and transformers.

Harmonic modeling.

Mitigation techniques.

• Voltage Sags/Swells.

Causes and effects.

Mitigation techniques.


129129129129

References:

[1] G. T. Heydt, Electric Power Quality, 1991.

[2] M. H. Bollen, Signal Processing of Power Quality Disturbances, IEEE Press, 2007.

[3] R. C. Dugan, Electric Power Systems Quality, 2000.

[4] E. Acha, Power System Harmonics, 2002.

[5] M. H. Bollen, Underestanding Power Quality Problems, 2000.

[6] J. Arrilaga, Power System Harmonic Analysis, 1997.


130130130130


CCoouurrssee NNaammee:: RREEAACCTTIIVVEE PPWWRR CCOONNTTRROOLL


Corequisite: 25333 or 25326 Prerequisite: 25311



Objectives: Due to the inductive nature of most of the electric power system components

and loads, reactive power has an important role in transmission and distribution of electric

energy with desired quality. Power transmission capability and voltage regulation and

stability are important issues in modern networks. In this course, the uncompensated lines

and loads characteristics and the effects of reactive compensation on them are analyzed.

Then, various types of fixed and controllable compensators are introduced, and principles of

reactive power compensation are presented. Finally, voltage instability phenomena, analysis

methods and countermeasures are discussed.

Topics:

• Fundamental concepts and introduction to reactive power control.

• Load compensation: power factor correction, voltage regulation, balancing.

• Theory of reactive power control in transmission networks: behavior of

uncompensated lines, objectives and methods of compensation.

• Improving stability with reactive power control.

• Series capacitors application, protection issues and dynamic problems.

• Introduction to Flexible AC Transmission Systems (FACTS).

• Static VAr compensators: principles, modeling, control and stability of SVC.

• Construction and operation of other series and shunt static compensators.

• Voltage instability in electric networks: definitions, analysis and correction methods.

• Optimal reactive power flow: objectives and planning methods.

References:

[1] T. J. E. Miller, Reactive Power Control in Electric Systems, John Wiley, 1982.

[2] P. M. Anderson, R. G. Farmer, Series Compensation of Power Systems, PBLSH Inc.,

1996.

[3] Y. H. Song, A. T. Johns, Flexible AC Transmission Systems (FACTS), IEE, 1999.


[5] T. Van Cutsem, C. Vournas, Voltage Stability of Electric Power Systems, Springer,

2005.


131131131131


CCoouurrssee NNaammee:: AADDVV PPWWRR SSYYSS OOPP





Objectives: Introduction to operational characteristics and principles operation of

continuous power systems and their control and effects of competitive electricity market on

management and control of network are the most important objectives of this course.

Modeling calculation and optimal operation in old and new structure using the optimization

methods will be discussed too.

Topics:

• Generation units characteristics.

• Economic Dispatch.

• Commitment of units, commitment of units on price basis.

• Introduction to optimization methods.

• Investigation of emergency conditions and network security.

• Optimal power flow.

• Commitment of units considering security.

• Introduction to power and electrical energy markets.

• Power exchange between regions.

• Availability and pricing of transmission.

• Congestion Management.

• Load-Frequency Control.

• State estimation.

References:

[1] J. Wood, Power Generation Operation and Control, John Wiley, 1996.

[2] K. Bhattacharya, M. H. J. Bollen, J. E. Daalder, Operation of Restructured Power

Systems, Kluwer Academic Publishers, 2001.

[3] M. Shahidehpour, H. Yamin, Z. Li, Market Opterations in Electric Power Systems,

IEEE/Wiley-Interscience, 2002.

[4] M. Shahidehpour, M. Almoush, Restructured Electrical Power Systems, Marcel

Dekker, 2001.

[5] N. S. Rau, Optimization Principles-Practical Applications to the Operation and

Markets of the Electric Power Industry, IEEE/Wiley Interscience, 2003.


132132132132


CCoouurrssee NNaammee:: PPWWRR EELLEECCTTRROONNIICCSS 11





Objectives: Introduction to power electronics convertor circuits including dc-dc, dc-ac, ac-dc

converters and their control methods.

Topics:

• Introduction to power electronic converters and their applications.

• DC-DC convertors including buck converter, boost converter, reversing converter,

cuk converter and …, continuous and discontinuous operating modes.

• Isolated switching power supplies including forward, push pull, bridge, half bridge

and flyback convertors.

• Modeling of power electronic convertors using state-space averaging method.

• Inverters including single phase and three phase inverters and their voltage control

method, multi level inverters.

• Rectifiers including phase-controlled rectifiers and their effect on transformers,

PWM rectifiers.

References:

[1] N. Mohan, T. M. Undeland, Power Electronics, Converters, Applications and Design,

John Wiley, 2003.

[2] R. W. Erickson, Fundamentals of Power Electronics, Kluwer Academic Publications,

2001.

[3] A. I. Pressman, Switching Power Supply Design, McGrawHill, 1998.

[4] Ch. P. Basso, Switch-Mode Power Supplies, Mc-Graw-Hill, 2008.


133133133133


CCoouurrssee NNaammee:: CCOONNTTRROOLLLLEEDD AACC DDRRVV





Objectives: To provide the basic theory for dynamic modeling of AC and DC machines and

their control techniques.

Topics:

• Principles of Motion Control.

• Basic mechanics.

• Mechanical power transmissions.

• Steady-state characteristics of loads and motors.

• DC Motor drives.

Steady-state characteristics of DC motors.

Power converters for DC motors and their dynamical model.

Dynamic Model of DC- Machines.

Torque Control of DC-machine in base speed range.

Torque Control of DC-machine in field weakening range.

Speed control.

Speed control with flexible coupling.

Position control.

• Induction Machine (IM) drives.

• Steady state model of induction machine.

V/F control Space Vector Modulation.

Dynamic Model of Induction Machine (IM).

Field oriented control of Induction Machine.

Flux observers.

Direct Torque Control (DTC).

• Permanent Magnet Synchronous Motor (PMSM) drives.

• Trapezoidal emf synchronous motors (BLDC).

• Sinusoidal emf synchronous motors (PMAC).

Dynamic Model of non-salient and salient pole PMSM’s.

Torque Control of non-salient pole PMSM in base speed range.

Torque Control of non-salient pole PMSM in flux weakening range.

Torque Control of salient pole PMSM in base speed range.

• Speed sensorless control.

• Introduction to sensorless control, principals and methods.

• Sensorless control of IM using fundamental harmonic model methods.

• Speed estimation of IM.

• Speed estimation of PMSM by high frequency signal injection.


134134134134

References:

[1] W. Leonhard, Control of Electrical Drives, Springer-Verlag, 2001.

[2] N. Mohan, Electric Drives, an Integrative Approach, Minneapolis 2001.

[3] P. Vas, Vector Control of AC Machines, Oxford University Press, 1990.

[4] T. A. Lipo, D. W. Novotny, Vector Control and Dynamics of Ac Drives, Oxford


[5] R. Krishnan, Electric Motor Drives: Modeling, Analysis, and Control, Prentice Hall.

2001.


135135135135


CCoouurrssee NNaammee:: HHVVDDCC && FFAACCTTSS





Objectives: Economic and environmental restrictions for transmission network expansion

and dynamism of operating condition in restructured power systems have made power flow

control and optimal utilization of transmission line thermal capacity vital issues. Flexible AC

and high voltage DC transmission systems are capable of operating in those conditions using

power electronic converters. The objective of this course is to introduce the technology of

FACTS and HVDC, their applications, control principles and analysis of their operation.

Topics:

• High Voltage DC transmission systems.

Introduction: history and applications, comparison between HVDC and HVAC,

potentials of using HVDC in Iran.

HVDC types, arrangement and main components.

Principles of AC/DC converter: voltage, current, power and power factor relations.

HVDC system control: methods and characteristics of converter control, DC system

control, control hierarchy.

DC and AC systems interactions.

Innovations: multi terminal DC, HVDC Light.

DC system modeling for load flow and transient stability.

• Flexible AC Transmission Systems.

Introduction: requirements and problems of AC network, principles and advantages

of FACTS.

Uncompensated line characteristics: voltage variation, stability limit, reactive power

requirements.

Introduction to reactive compensation.

Basic components of first generation: thyristor controlled reactor, thyristor switched

capacitor.

Basic components of second generation: voltage source converter, simple and

multilevel structures, converter control.

Shunt compensators: SVC and STATCOM, structure, principles, modeling and control.

Series compensators: GCSC, TSSC, TCSC, SSSC - principles, main and auxiliary

controls, sub synchronous resonance behavior.

Phase shifters: PST, TCPST, converter-based phase shifters.

Unified Power Flow Controller (UPFC): structure, control methods, development

possibilities.

Improving damping and transient stability by FACTS.

FACTS devices modeling for load flow and transient stability analyses.


136136136136

Introduction to FACTS application in distribution systems.

References:

[1] C. K. Kim, V. K. Sood, G. S. Ang, S. J. Lim, S. J. Lee, HVDC Transmission: Power

Conversion Applications in Power Systems, IEEE Press, 2009.

[2] K. R. Padiyar, HVDC Power Transmission Systems Technology and System

Interactions, Mc Graw Hill, 1990.


[4] N. G. Hingorani, L. Gyugyi, Understanding FACTS: Concepts and Technology of

Flexible AC Transmission Systems, IEEE, 2000.

[5] Y. H. Song, A. T. Johns, Flexible AC Transmission Systems (FACTS), IEE, 1999.

[6] E. Acha, C. R. Fuerte-Squivel, H. Ambriz-Perez, C. Angeles-Camacho, FACTS Modeling

and Simulation in Power Networks, John Wiley, 2004.


137137137137


CCoouurrssee NNaammee:: MMOODDLL CCOONNTTRR PPWWRR EELLEECC CCNNVVRRTT





Objectives: Introduction to methods of modeling power-electronic converters and designing

controllers for them.

Topics:

• Introduction to modeling and control of power electronic converters.

• Steady-state equivalent-circuit of power electronic converters in Continuous

Condition Mode.

• Small signal equivalent circuit for Continuous Conduction Mode.

• Controller design.

• Steady state equivalent circuit and small signal modeling in Discontinuous

Conduction mode.

• Modeling of converters controlled by Current programmed method.

• Input filter design.

• Modeling and control of PWM rectifiers.

References:

[1] R. W. Erickson, Fundamentals of Power Electronics, Kluwer Academic Publications,

2001.

[2] Ch. P. Bosso, Switch-Mode Power Supplies, McGraw-Hill, 2008.


138138138138


CCoouurrssee NNaammee:: RREESSOONNAANNTT CCOONNVV && SSOOFFTT SSWWIITTCCHH





Objectives: The course includes a detailed study of different resonant and quasi-resonant

converter circuits and the mechanisms of soft switching in them. To aim at this purpose in

the first section of the course, resonant converters are investigated using two analysis

approaches including sinusoidal approximation and state plane analysis. Then small-signal

modeling of resonant converters using the averaged switch model and the phasor transform

methods are introduced. Finally deign principals of resonant converters are presented. The

second section of this course covers the resonant switch and related converters. In this

section quasi resonant converters are introduced and their operations are analyzed using

state plane. Also dynamic models for quasi-resonant converters are derived. Then the soft

switching methods are introduced for fixed frequency converters. Finally active clamp

circuits are investigated using state plane analysis.

Topics:

• Introduction.

Soft switching, resonant converter applications and approaches, typical circuits.

• Resonant converters.

Sinusoidal analysis: The classical series resonant, parallel resonant, LCC, and similar

dc-dc and dc-ac converters, The sinusoidal approximation for resonant converter

analysis, Zero-voltage and zero-current switching, Resonant converter design

techniques based on frequency response, Dynamic modeling and small-signal ac

behavior.

State-plane analysis: Fundamentals of state-plane and averaged analysis of resonant

circuits, Exact analysis of the series resonant converter: CCM & DCM, Exact analysis

of the parallel resonant converter.

• Resonant switch.

The ZCS and ZVS quasi-resonant converters.

Dynamic modeling and small-signal ac behavior of quasi-resonant converters.

Multiresonant switches.

Quasi-square-wave converters.

Zero-voltage transition (ZVT) converters.

Active clamp circuits.

References:

[1] Erickson, Maksimovic, Fundamentals of Power Electronics, Kluwer 2001.

[2] Luo, Lin, Synchronous and Resonant DC/DC Conversion Technology, Energy Factor,

and Mathematical Modeling, CRC Press, 2005.


139139139139

[3] Kazimierczuk, Czarkowski, Resonant Power Converters, Wiley-Interscience, 1995.

[4] Batarseh, Power Electronic Circuits, John Wiley & Sons, 2003.

[5] Lee, High-Frequency Resonant, Quasi-Resonant, and Multi-Resonant Converters,

Virginia Polytechnic Inst, 1989.


140140140140


CCoouurrssee NNaammee:: AADDVV DDIIEE && HHII VVOOLLTT





Objectives:

Topics:

• Partial discharge detection in high voltage equipments.

Behavior of discharges.

Partial discharge detection.

Partial discharge measurement.

Selection of detection methods and their features.

Partial discharge location.

• Design and test of external insulation.

Mechanism of arcing in pollectd insulation under AC and Dc voltages.

Discharge model of pollected insulation.

Measurement and test.

Measurement of pollution severity.

Testing and specifications.

Design of insulators under contamination.

Testing and Specifications.

• Particle separation by strong static fields.

Corona mechanism.

Charging the space particles.

Source.

Particle ionization.

Particles absorption and calculation.

• Insulation technology of high voltage equipments.

High voltage cable insulation.

Terminal transient model of transformer for evaluation of over voltages in

transformer.

• Static electionification in power transformers.

References:

[1] F. H. Kreuger, Discharge Detection in HV Equipments.

[2] M. G. Mohammadi, Physic and Technology of Electric Insulations.

[3] Alston, High Voltage Technology.

[4] Polluted Insulators, A review of Current Knowledge.

[5] Kuffel, High Voltage Engineering: Fundamentals.


141141141141


CCoouurrssee NNaammee:: PPWWRR SSYYSS PPLLAANNNNIINNGG





Objectives: Introduction to planning methods for electric power generation and expansion

transmission and distribution. In addition, in this course the models of planning in classic

systems, structural and operational complexities of these models in new structure will be

introduced. Also in this course we will discuss planning aims from investors and ISO point of

view, and methods like MCDM, MODM, MADM and game theory.

Topics:

• A review of the classic models in generation, transmission and distribution planning.

Load forecasting and modeling of electricity demand.

Energy resources, generation prediction and modeling of electricity generation.

Reliability and basic definitions.

Generation planning, introduction to WASP and JASP.

Transmission planning and introduction to Monticelli model.

Distribution planning, introduction to dynamic, static, pseudo static methods.

• Advanced planning methods and their application in power system planning.

Intelligent and fuzzy optimization methods.

MCDM multi criteria decision making.

MODM multi objective decision making.

MADM multi attribute decision making.

Planning using game theory.

• Power system planning in recent structures and introducing solutions.

Generation planning form the independent investors point of view in a competitive

market.

Transmission planning and its challenges in new structure.

Distribution planning in the presence of DG and using CHP and renewable resources.

Planning from the independent system operator point of view.

References:

[1] X. Wang, G. R. McDonald, Modern Power System Planning, Mc Graw Hill, 1994.

[2] H. G. Stoll, Least Cost Electric Utility Planning, John wiley & Sons, 1989.

[3] R. L. Sullivan, Power System Planning, Mc- Graw Hill publication, 1974.

[4] I. Wangensteen, A. Botterud, N. Flatabo, Power System Planning and Operation in

International Markets Perspectives from the Nordic Region and Europe, Proccedings

of IEEE, 2005.

[5] D. W. Bunn, Forecasting Loads and prices in competitive Power Markets, IEEE

proceedings, 2000.


142142142142

[6] International Atomic Energy Agency (IAEA).

[7] Expansion Planning for Electrical Generating Systems, A Guide Book, IAEA press,

Vienna, 1984.


143143143143

PPaarrtt FFoouurr

CCoonnttrrooll GGrroouupp


144144144144


CCoouurrssee NNaammee:: OOPPTTIIMMAALL CCOONNTTRROOLL




Last Edition: F2012 Group: Control

Objectives:

Topics:

• Finite dimensional optimization (parametric optimization) - unconstrained

optimization.

Gradient based methods (classic methods).

Recursive methods.

Steepest descent method (quadratic and non-quadratic).

Newton method, generalized Newton method, quasi-Newton method, conjugate

gradient method.

• Parametric optimization with equality constraint.

Sensitivity analysis and Lagrangian method.

• Convex sets.

Parametric optimization with inequality constraint.

Kuhn-Tucker conditions.

• SUMIT optimization method.

Penalty method.

Barrier method.

• Infinite dimensional optimization (non-parametric optimization).

Calculus of variations: Fundamental theorem and lemma, Euler-Lagrange necessary

conditions, Brachistochrone problem.

Solution to general problems with specified, free and variable endpoints.

Extension to multidimensional problems.

Solution to problems with corners and study of piecewise differentiable extremals.

Study of extremal with various constraints.

• Survey on classical mechanics and lagrangian equations.

Hamilton function and principle.

Hamiltonian form of Euler-Lagrange equations.

• Optimal control problems.

Survey on optimal control problems (minimum time, minimum cost, cheap control,

minimum fuel, regulation, tracking, control with stability, …).

Extension of calculus of variation to problems with different boundary value.

Linear regulators (LQR): Hamilton matrix, Riccati equations(differential and

algebraic),optimal cost calculation, steady state solution, study of asymptotic

behavior, existence and uniqueness of solution and stability, State regulators with

output feedback.


145145145145

Tracking problem.

Pontryagin’s minimum principle and study of its results: Solution to problems with

equality and inequality constraints.

Minimum time problem: Bang-Bang control, Bang-Off-Bang control, Study of

existence of normal solution, uniqueness, switching.

Minimum fuel problem: Study of normality conditions.

Minimum time and fuel problem.

• Dynamic programming (DP).

Optimality principle.

Solving optimal control problems with DP.

Extension of optimality principle to continuous time domain(Hamilton-Jacobi-

Bellman).

Sample problems’ solution.

References:

[1] D. E. Kirk, Optimal Control Theory: An Introduction, Prentice Hall, 1970.

[2] G. Leitmann, Calculus of Variable and Optimal Control, Plenurn, 1981.

[3] H. Kwakernaak, R. Sivan, Linear Optimal Control System, J. Wiley, 1972.

[4] M. Athans, P. L. Falb, Optimal Control, McGraw-Hill, 1966.

[5] D. G. Luenberger, Introduction to linear and Nonlinear programming, Addison

Wesley, 1973.


146146146146


CCoouurrssee NNaammee:: LLAARRGGEE--SSCCAALLEE SSYYSSTTEEMMSS

Type & Max Unit: Constant 3 Course Type: with Project.




Objectives:

Topics:

• Introduction.

Normed spaces, Reachability, Observability, SVD, Transmission zeros.

• Order Reduction.

Aggregation.

Weak-Coupling.

Singular Perturbation.

Balanced models.

• Interconnected System Stability.

Decentralized Control (Early and Recent Results).

Centralized fixed modes (CFM).

Decentralized fixed modes (DFM).

Approximated decentralized fixed modes (ADFM).

Decentralized pole assignment.

Stabilization of decentralized control systems.

• Decentralized servo compensators.

Decentralized robust control.

Recent results.

• Partially decentralized controllers.

BAS structures.

Contraction-Expansion decomposition-coordination framework.

• Hierarchical optimization concepts (static vs. dynamics).

Coordination principles.

Model coordination.

Goal coordination.

Mixed method.

• Optimal control methods for LSS.

Two-level optimal control for linear systems: Quadratic Regulations, Goal

coordination, Mixed method.

Two-level optimal control for non-linear systems: Model coordination, Goal

coordination, Interaction prediction approach, Co-state prediction method,

Prediction method of Hassan and Singh.

• Recent results (Coordination-decomposition framework of Sadati).

Model coordination.


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Goal coordination.

Interaction prediction approach.

• Intelligent control strategies in LSS.

References:

[1] M. Jamshidi, Large-Scale Systems, North Holland.


148148148148


CCoouurrssee NNaammee:: FFUUZZZZYY LLOOGGIICC && AAPPPPLL





Objectives:

Topics:

• A glance on the history of fuzzy logic.

• Theory of Fuzzy Logic.

• Classical sets and fundamental definitions.

• Fundamental operations on classical sets.

• Fundamental operations on fuzzy sets.

• Operators and relations on classical sets.

• Fuzzy relations.

• Fundamental operations on fuzzy relations, combination and investigation of their

characteristics.

• Zadeh’s Extension Principle.

• Fuzzy numbers and generalization of fundamental algebraic operations in real

numbers into fuzzy numbers.

• Classical logical statements and corresponding definitions.

• Classical conditional statements.

• Study of various classical inference methods.

• Fuzzy logical statements.

• Fuzzy conditional statements.

• Study of various approximate reasoning methods based on inference combinational

principles.

• Approximate reasoning and fuzzy interpolation.

• Study of probability theorem, dempster-shafer theory.

• Composite fuzzy statements.

• Fuzzy rule-based systems.

• Analysis of fuzzy composite rules.

• Study of fuzzy controllers.

• Learning in adaptive fuzzy controllers.

Methods based on gradient descent.

Methods based on evolutionary learning (genetic, PSO, …).

Reinforcement learning methods.

• Fuzzy-adaptive inference networks and study of various learning methods.

• Fuzzy clustering and classification and its applications.

• Accumulative fuzzy systems.


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• Elliptical fuzzy systems and their learning methods.

• Adaptive neuro-fuzzy systems.

• Study of various decision making methods and their applications.

• Fuzzy optimization.

• Fuzzy linear programming.

• Fuzzy non-linear programming.

References:

[1] N. Sadati, Lecture Notes on Fuzzy Logic and its Applications, Sharif University of

Technology, 1372.

[2] L. Wang, A Course in Fuzzy Systems and Control, Prentice Hall, 1997.

[3] H. Zimmermann, Fuzzy Set Theory and Its Applications, Kluwer Publishers, 1996.


150150150150


CCoouurrssee NNaammee:: AARRTTFF NNEEUURRAALL NNEETT && AAPPPPLL





Objectives:

Topics:

• Introduction.

What is neural net?

Where are neural nets being used?

How are neural networks used?

Who is developing neural networks?

McCulloch-pitts neuron.

• Simple neural nets for pattern classification.

Hebb net.

Perceptron.

Adaline, Madaline.

• Pattern association.

Training algorithms.

Hetroassociative memory neural network.

Auto associative net.

Hopfield neural nets.

• Neural networks based on competition.

Maxnet.

Kohonen Self-Organizing Maps (SOM).

Learning Vector Quantization (LVQ).

• Adaptive resonance theory.

ART1.

ART2.

ARTMAP.

• Backpropagation neural net.

Levenberg-marquardt.

Conjugate gradient.

Momentum based algorithms.

• Cascade correlation.

• Dynamic neural networks.

Recurrent neural nets.

Neural nets for time series.

• Convolutional neural networks.

LeeNet.


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Neocognitron.

• Cichocki neural nets.

• Third generation neural nets.

Spiking neural networks.

References:


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CCoouurrssee NNaammee:: RROOBBOOTT CCOONNTTRROOLL 11




Last Edition: Unknown. Group: Control

Objectives:

Topics:

• Modeling and Identification of Rigid Manipulators:

Rigid motions and homogeneous transformations.

Kinematics modeling.

Dynamics modeling, Euler-Lagrange equations.

Trajectory planning.

• Background on Control of Nonlinear Systems:

Lyapunov stability.

Passive systems.

Stability of perturbed systems.

Adaptive control of nonlinear systems using back-stepping method.

Nonlinear observers and feedback design.

• Joint and task-space Motion Control:

State feedback: PID, Robust and Adaptive control, Friction compensation methods.

Motion control including actuator dynamics.

Control of flexible joint manipulators.

• Introduction to force-Motion Control.

References:

[1] C. Canudas, B. Sicilliano, G. Bastin, Theory of robot control, Springer, 1996.

[2] M. Spong, S. Hutchinson, M. Vidyasagar, Robot modeling and control, John Wiley

and sons, 2006.

[3] L. Sciavicol, B. Sicilliano, Modeling and control of robot manipulators, McGraw Hill,

1996.

[4] J. J. Craig, Introduction to Robotics: Mechanics and Control, 2003.

[5] H. Khalil, Nonlinear systems, Prentice Hall, 1996.

[6] M. Krestic, I. Kanellakopoulos, P. Kokotovic, Nonlinear and adaptive control design,

John Wiley and sons, 1995.


153153153153


CCoouurrssee NNaammee:: RROOBBOOTT CCOONNTTRROOLL 22





Objectives:

Topics:

• Force-Motion Control.

Impedance control.

Holonomic constraints.

Force Control for Compliant Environments.

• Cooperative Robots.

Motion Control.

Force Control.

Kinematic Redundancy.

• Robotic Systems under non-Holonomic Constraints.

Differential Geometry background.

Controllability and Accessibility.

Driftless systems.

Feedback linearization techniques.

Systems in Chained forms.

• Mobile Robots.

Modeling and structural properties: Kinematics Models, Dynamics Models.

Trajectory planning.

Motion Control.

• Miscellaneous Topics.

Fault Detection in Robotic Systems.

Emulation Systems.

References:

[1] C. Canudas, B. Sicilliano, G. Bastin, Theory of robot control, Springer, 1996.

[2] M. Spong, S. Hutchinson, M. Vidyasagar, Robot modeling and control, John Wiley

and Sons, 2006.

[3] L. Sciavicol, B. Sicilliano, Modeling and control of robot manipulators, McGraw Hill,

1996.

[4] J. J. Craig, Introduction to Robotics: Mechanics and Control, 2003.


[6] M. Krestic, I. Kanellakopoulos, P. Kokotovic, Nonlinear and adaptive control design,

John Wiley and Sons, 1995.


154154154154


CCoouurrssee NNaammee:: RROOBBUUSSTT CCOONNTTRROOLL





Objectives: Development of various control methods for systems with uncertain dynamics.

Topics:

• An introduction to linear spaces and linear system properties.

• Model order reduction.

• Robust stability and � synthesis.

• Optimization methods and linear matrix inequalities.

• Design of the H2 and Hinf controllers and observers.

References:

[1] K. Zhou, J. Doyle, Essentials of robust control, Prentice Hall, 1998.

[2] M. Green, D. Limebeer, Linear robust control, Prentice Hall, 1995.

[3] S. Boyd, L. Ghaoui, E. Feron, V. Balakrishnan, Linear Matrix Inequalities in System and

Control Theory, SIAM, 1997.

[4] H. Golub, C. Van Loan, Matrix computations, John Hopkins University press.

[5] M. Dahleh, I. Bobillo, Control of uncertain systems: A linear programming approach,

Prentice Hall.


[7] S. Boyd, Convex optimization, Cambridge university press, 2004.

[8] N. Andrei, Modern control theory: A historical perspective.


155155155155


CCoouurrssee NNaammee:: MMUULLTTII VVAARR CCOONNTTRROOLL





Objectives:

Topics:

• Aims of control.

Input-output response.

Stability.

Noise suppression.

Small parameter variations.

Large parameter variations.

Interaction.

• The sensitivity function.

Open loop control.

Closed loop control.

Model uncertainty.

Disturbance rejection.

• Structures for control.

One-degree of freedom control.

Two degree of freedom controllers.

Design of single loop two degree of freedom control systems

• Introduction to multivariable systems.

Loop interaction.

The need for multivariable control.

• Measures of multivariable gain.

Vector norms and induced norms

The singular value decomposition.

System norms.

• Linear system models: representations and standard forms.

The state-space description

State-space standard forms. and realization

The transfer function matrix representation.

Transfer-function matrix standard forms.

Matrix fraction description.

Rosenbrock’s system matrix.

Transformation of system matrices.

Summary of transformations.

• Controllability and observability.


156156156156

Controllability.

Observability.

Decoupling zeros.

Realizations and reconstruction.

• Poles and zeros of MIMO systems.

Poles of a system.

Zeros of a system.

Cancelations, stabilizability, and detectability.

• Multivariable model handling techniques.

Interconnections and operations.

• Model order reduction.

System Gramians.

Order reduction methods.

• Multivariable interaction.

Measures of interaction for constant matrices.

Extension of interaction measures to dynamical systems.

• Stability of MIMO systems.

Internal stability.

The generalized Nyquist stability criterion.

The gain space.

Performance and robustness limits.

• Simply structured design.

The Nyquist array design method.

Structure of multivariable systems.

Achieving diagonal dominance.

• Case studies.

A chemical reactor.

A reheat furnace.

An islanded distributed generation unit.

The automotive gas-turbine.

The Rolls Royce Spey gas-turbine engine.

Level control system.

Gasifier challenge problem.

References:


157157157157


CCoouurrssee NNaammee:: AADDAAPPTTIIVVEE CCOONNTTRROOLL





Objectives:

Topics:

• Introduction.

• Online Parameter Estimation.

• Deterministic Self-Tuning Regulators.

• Stochastic Self-Tuning Regulators.

• Model-Reference Adaptive Systems.

• Robustness in Adaptive Systems.

• Auto-Tuning.

• Practical Implementation Issues.

References:

[1] K. J. Astrom, B. Wittenmark, Adaptive Control, Addison-Wesley, 1995.

[2] S. Sastry, M. Bodson, Adaptive Control: Stability, Convergence, and Robustness,

Prentice-Hall, 1989.

[3] G. C. Goodwin, K. S. Sin, Adaptive Filtering, Prediction, and Control, Prentice-Hall,

1984.

[4] K. S. Narendra, A. M. Annaswamy, Stable Adaptive Systems, Prentice-Hall, 1989.

[5] P. Ioannou, B. Fidan, Adaptive Control Tutorial, SIAM Press, 2006.


158158158158


CCoouurrssee NNaammee:: NNOONNLLIINNEEAARR CCOONNTTRROOLL





Objectives:

Topics:

• Fundamentals of nonlinear system analysis.

Existence and uniqueness of solutions to ODEs, solution behaviors, vector fields.

Lie algebra, diffeomorphism, distributions, integrability, and invariance.

• Geometric approach.

Reachability and observability, local decomposition of nonlinear systems.

Controlled invariant distributions and disturbance decoupling.

Feedback linearization: state and output linearization, zero dynamics.

Nonlinear observers.

• Lyapunov stability theory.

Stability criteria, local-global convergence, invariance results, region of attraction.

Robustness analysis, vanishing and non-vanishing perturbations, input-to-state and

input-output stability, passivity, absolute stability.

Applications: Back-stepping design, adaptive control.

References:

[1] A. Isidori, Nonlinear Control Systems, An introduction.

[2] H. Khalil, Nonlinear Systems.

[3] M. Vidyasagar, Nonlinear Systems Analysis.

[4] J. J. Slotine, Applied Nonlinear Control.


159159159159


CCoouurrssee NNaammee:: MMOODDEELL PPRREEDD CCOONNTTRROOLL





Objectives:

Topics:

• Introduction.

Introduction to Model Predictive Control idea.

General characteristics of Model Predictive Controllers.

Introduction to Internal Model Control (IMC.

• Linear MPC Controllers.

Model Algorithmic Control (MAC): Characteristics, limitations.

Dynamic Matrix Control (DMC): Characteristics, limitations, improvements, and

transfer function.

Generalized Predictive Control (GPC): Characteristics, limitations, improvements, and

transfer function.

Predictive Functional Control (PFC).

• Linear Time Invariant and Nonlinear MPC with/without Constraints.

An introduction to optimization problems and their solutions: Type of programming,

Method of solution.

Solution methods for Quadratic Programming: Active set method, Gradient

Projection method.

Linear controller for nonlinear process: Single linear model, Multi-linear Model,

Single time variant linear model, Linearization methods.

Nonlinear controller for nonlinear process: Simultaneous solution, Sequential

solution.

• Robustness and MPC.

Robustness of MPC: Parametric uncertainty, Non-parametric uncertainty.

Robust MPC: Linear Dynamic Matrix Control (LDMC).

• Stability in MPC.

GPC with hard constraints (CGPC).

Infinite horizon predictive control.

Use of stabilizing polynomials.

References:

[1] E. F. Camacho, C. Bordons, Model Predictive Control in the Process Industry.

[2] J. M. Maciejowski, Predictive Control with Constraints.

[3] J. A. Rossiter, Model Based Predictive Control: A practical approach.


160160160160

[4] J. M. Martin Sanchez, J. Rodellar, Adaptive Predictive Control: From Concepts to

Plant Optimization.

[5] F. Allgower, A. Zheng, Nonlinear Model Predictive Control


161161161161

PPaarrtt FFiivvee

DDiiggiittaall SSyysstteemmss GGrroouupp


162162162162


CCoouurrssee NNaammee:: AADDVV AAPPPPLL PPRROOGGRRAAMM




Last Edition: F2012 Group: Digital Systems

Objectives: Parallel platforms such as multicore processors, distributed-memory clusters,

GPGPU and tiled-based processors. Parallel programming methods such as shared-memory

multi-threading, distributed-memory message-passing and data-parallel multi-threading,

and automated generation of parallel software from higher-order models. The content of

the course is 80% software-related and 20% hardware-related.

Topics:

• Motivation.

Demanding applications.

Why parallel processing? pros and cons.

Types of parallelism.

• Overview of C/C++ Programming.

• Parallel Architectures.

Memory Systems.

Input and Output.

Synchronization Mechanisms.

Communication Methods.

• Shared-memory Multi-threading.

Multicore architectures, e.g., Intel Xeon.

Concurrent execution in modern OS.

Threads, SMP operating systems.

Programming with PThread.

• Distributed-memory Message-passing.

Cluster architectures, e.g., IBM Blade.

Programming with MPI.

• Data-parallel Multi-threading.

Programming model.

GPGPU architectures, e.g., NVidia Tesla.

Programming with CUDA.

• Automated Software Synthesis.

Tile-based architectures, e.g., RAW and ASAP.

Higher-order models.

Programming with StreamIt.

Task allocation and scheduling.

Buffer spilling and merging.


163163163163

References:

[1] P. S. Pacheco, An Introduction to Parallel Programming, 2011.

[2] D. Kirk, W. Hwu, Programming Massively Parallel Processors, 2010.

[3] H. Deitel, P. Deitel, C++ How to Program, 2003.

[4] S. Keckler, K. Olukotun, P. Hofstee, Multicore Processors & Systems, 2009.


164164164164


CCoouurrssee NNaammee:: DDIIGGIITTAALL VVLLSSII AARRCCHHIITTEECCTTUURREESS





Objectives: Comprehensive understanding of the digital design flow, including the

algorithmic level issues, architecture optimization, hardware description languages, as well

as the digital Application Specific Integrated Circuit (ASIC) design concerns in the

transistor/system level is extremely important for today’s digital designers. This course is

designed to address most of these issues through lectures, projects and lab assignments.

The course will give insight on how to get from a signal processing algorithm to an efficient

VLSI implementation using various architectural techniques while considering a given set of

criteria. In fact, the course provides a practical understanding of the implementation

strategies for digital ICs, existing VLSI technologies, fundamentals of digital ASIC design, RTL

coding for synthesis, common digital signal processing algorithms, efficient techniques for

floating-point and fixed-point simulations, as well as VLSI techniques for high-speed/low-

power designs. The main part of the course will be focused on the design of application

specific architectures that can be implemented on either reconfigurable hardware, e.g. Field

Programmable Gate Arrays (FPGAs), or ASIC. State-of-the-art design tools will be used to

support the course work. As a part of the course requirement is a term project on the design

and ASIC implementation (full chip) of a digital sub-system, which is assigned at the

beginning of the semester and will be completed in parallel to the lectures.

Topics:

• VLSI Technology and ASIC Design.

Implementation Strategies for Digital ICs: CAD Tool for ASICs, Full-Custom/Custom

ASICs, Custom FPGA Platforms.

Digital ASIC Design: Issues in Digital Integrated Circuit Design, Quality Metrics of

Digital Designs, Digital IC Components, Timing Issues in Digital ICs.

• VLSI Digital Signal Processing Architectures.

Introduction to Digital Signal Processing Systems: Typical DSP Algorithms (FFT, DFT,

LMS, RLS), Representation of Signal Processing Algorithms, Signal-flow, Data-flow

and Dependence Graphs, Iteration Bound.

VLSI Architecture Techniques: Pipelining, Parallel Processing, Pipelining and Parallel

Processing for Low Power Design, Retiming Techniques, Unfolding, Folding, Register

Minimization Techniques, Systolic Architecture Design, FIR Systolic Arrays.

Synchronous and Asynchronous Pipeline: Synchronous Pipeline and Clocking Styles,

Wave Pipelining, Asynchronous Pipeline, Implementation of Computational Units.

Bit-Level Arithmetic Architectures: Arithmetic Circuits Number Systems and their

Effect on Implementation, Redundant, Floating-point Representations/Operations,

Shifters/Adders/ Comparators, Parallel/Bit-serial Multipliers.


165165165165

Redundant Arithmetic.

Finite Word Length Effect.

Floating-point to Fixed-point simulation techniques.

Parallel and Pipelined Digital Filter Design.

Low-Power Design.

References

[1] K. K. Parhi, VLSI Digital Signal Processing Systems: Design and Implementation.

[2] S. Y. Kung, VLSI Array Processors.

[3] L. Wanhammer, DSP Integrated Circuits.

[4] M. J. Smith, Application-Specific Integrated Circuits.

[5] D. E. Thomas, The Verilog Hardware Description Language.

[6] W. F. Lee, Verilog coding for logic synthesis.

[7] H. Bhatnagar, Advanced ASIC Chip Synthesis Using Synopsys DC, Physical Compiler &

PrimeTime.


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CCoouurrssee NNaammee:: FFUUZZZZYY SSYYSS




Last Edition: Unknown. Group: Digital Systems

Objectives:

Topics:

• Historical Review of Technology.

Prehistoric Periods.

Historical Periods.

Tools.

Reasoning, Computation and Historical Gathering.

• Abstraction.

Abstraction and its Representation.

Creating Concepts Abstraction.

Making Relations Between Abstract Concepts.

• Reasoning.

Analysis of Language Structure for Understanding of Mental Process of Reasoning.

Abstraction of Logical Operators.

Concepts of Similarity Measurement and Interaction.

Formal Logic (Abilities and inadequacies).

Multi-State Logic.

• Sets.

CRISP Sets Theory.

Concepts Combination.

First Order Fuzzy Sets.

Operators of Fuzzy Sets.

Logical Completeness and Computational Completeness.

Demorgan's Theorem.

Higher Order Fuzzy Sets.

• Fuzzy Logic.

Generalized Reasoning.

gmt and gmp Generalized Reasoning.

Fuzzy Relation.

Concept of Belief.

Levels of Reasoning.

Simplified Reasoning (Mamdani, Larsen, Zadeh).

• Fuzzy Rules Base.

Reasoning Methods Based on Rules Inter Action and belief Propagation.

Combination Rules for Reasoning.


167167167167

• The Formation of Concepts and Tools.

Classification and Clustering.

Fuzzy Clustering.

Probabilistic Clustering and Possibility Clustering.

Decision Trees.

• Fuzzy Measure and Concept.

Fuzzy Measure.

Fuzzy Integrals.

Science Interaction in Gathering Systems.

• Fuzzy Control.

Methods of Analysis Control and Their Disadvantages.

Fuzzy Controller.

Methods of Fuzzy Controller Design: Heuristic Methods, Deterministic Methods,

Logical Analysis, Modeling.

Self-Organizer Controllers.

Adaptive Controllers.

• Human Interaction Modeling.

Diagnosis, Judgment, Decision, Action.

Knowledge Database.

Sense of Correct Judging, Experience and Limitations.

Intention Reasoning.

• Fuzzy Modeling.

Takagi-Sugeno Method.

Sugeno-Yasukawa Method.

ALM Method.

• Fuzzy Computations.

Fuzzy Numbers and Different Types of Them.

Uncertainty and Randomness.

Concept of Distance.

Fuzzy Number Convolution.

Four Basic Operations and Their Properties.

Series and Fuzzy Number Factorial.

• Science Granularity.

Increasing Accuracy.

Properties of S-Norm and T-Norm in the Area of Granularity.

• Comparison of Reasoning Theories.

Probability Theory.

Possibility Theory.

Dempster-Shafer Theory.

• Fuzzy Systems Implementation.

Neuro Fuzzy Methods (ANFIS).

Hardware Methods.

Transistor level Methods (yamakawa Method, …).

Processor Methods.

• Applicable Example and Paper Review.

Image Processing, Speech Processing, Filtering, Scheduling, Source Assignment,

Routing, Learning, Control,…


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References

[1] G. J Klir, B. Youn, Fuzzy set and Fuzzy logic.

[2] R. R. Yager, H. T. Negoyen, Fuzzy Set and application.

[3] H. J. Zimmerman, Fuzzy Set theory and its applications.

[4] J. Yan, M. Ryan, Ussing Fuzzy logic.

[5] A. Kaufman, Introduction To Fuzzy Arithmetic.

[6] H. T. Neguyen, Fuzzy Modeling and Control.

[7] G. Shafer, A Mathematical Theory of Evidence.


169169169169


CCoouurrssee NNaammee:: CCOOMMPPUUTTEERR VVIISSIIOONN





Objectives: The ultimate goal in computer vision is to emulate human vision, including

making inferences based on visual inputs. In this course, the students will learn fundamental

approaches in computer vision.

Topics:

• Filtering: smoothing, removing noise, convolution, image derivatives.

• Edge detection: gradient operators (Prewitt and Sobel), Marr-Hildreth edge detector

(Laplacian of Gaussian), Canny (gradient of Gaussian).

• Interest point detection: local features, interest points, Harris corner detector.

• Scale invariant feature transform: extracting key points, scale space, outlier

rejection, orientation assignment, descriptors, key point matching.

• Optical flow: brightness constancy equation, smoothness constraint, Horn-Schunck

algorithm, Locus-Kanade algorithm.

• Pyramids: Gaussian and Laplacian pyramids, optical flow with pyramids for large

motion.

• Motion model: 3D rigid motion, rotation using Euler angles, orthographic and

perspective projections, affine transformation, displacement model, instantaneous

model, homography.

• Global motion: Bergen et al. method, coarse-to-fine global flow estimation, image

warping, Mann and Picard method, generating mosaic.

• Camera model: camera calibration, camera model, finding camera location, camera

orientation, camera parameters.

• Fundamental matrix: RANSAC, derivation of Fundamental matrix, essential matrix,

normalized 8-point algorithm, robust fundamental matrix estimation.

• Mean-shift tracking: mean-shift theory and its applications, mean-shift vector,

parametric and non-parametric density estimation, kernel density estimation, real

modality analysis, likelihood maximization using mean-shift.

• Kanade-Locus-Tomasi tracker: KLT tacking algorithm, finding alignment, KLT-Baker

algorithm.

• Structure from motion: Tomasi and Kanade factorization method.

• Hough transform: line fitting (Cartesian-polar form), circle fitting, generalized Hough

transform for arbitrary shape, r-table, rotation and scale invariant shape fitting.

• Bag-of-features: image classification by histogram of features.

• Face recognition: eigen-face method, within-class and between-class variation,

Fisherfaces.


170170170170

• Stereo: shape from stereo, rectification, correspondence search, correlation

measures, block matching, simulated annealing, Barnard stereo method.

References

[7] R. Szeliski, Computer Vision: Algorithms and Application.

[8] D. A. Forsyth, J. Ponce, Computer Vision - A Modern Approach.


171171171171


CCoouurrssee NNaammee:: DDIIGGIITTAALL VVLLSSII SSYYSS DDEESSIIGGNN




Last Edition: Unknown. Group: Digital Systems

Objectives: Comprehensive understanding of a digital design flow, including the digital ASIC

design concerns in the transistor/system level is extremely important for today’s digital

designers. This course is designed to address these issues through lectures, and projects.

The course is about digital system design issues and hardware language as well as the

physical realization. The implementation focus will be on Field Programmable Gate Arrays

(FPGAs) and custom Application Specific Integrated Circuits (ASICs). State-of –the- art design

tools will be used to support the course work. As a part of the course requirement is a

course project on the design of digital of digital IC using real-world industrial CAD tools. The

output of the course project is a ready-to-fabrication design.

Topics:

• Hardware Description Language.

Verilog for Synthesis: Design and Modeling using Verilog, Design Structure, Language

Fundamentals, Modeling Combinational Logic Circuits, Modeling Finite State

Machines, Testbench, Simulation and Verification, Verilog Styles for synthesis.

• VLSI technology and ASIC design.

Implementation strategies for Digital ICs: CAD Tool Flow for ASICs, Full-Custom

Circuit Design, Custom ASICs, Cell-based Design Methodology, Array-based

Implementation Approaches, Regular Array Architectures in ASICs (PLA, SRAM,

DRAM, multi-port RAMs, CAMs), IP Blocks.

Digital ASIC Design: Issues in Digital Integrated Circuit Design, Quality Metrics of

Digital Designs, Digital IC Components, Design of Combinational Logic Gates in

CMOS, Design of Sequential Logic Circuits, Packaging and Interconnects, I/O Pads

and Buffers, Timing Issues in Digital ICs, Design for Testing, Data-path Function Units.

• IC Design Flow.

Digital IC Design Flow: Introduction to IC Design Flow, Digital system Modeling,

Fundamentals of Digital Design Methods, Synthesis Step with design Compiler,

Placement and Routing Step with SOC Encounter, Introduction to Calibre Interactive.

Analog IC Design Flow: Introduction to Layout, Semiconductor Devices Layout

Structure, Layout common Mistakes and Solutions, Introduction to Schematic, and

Simulation.

References:

[1] K. K. Parhi, VLSI Digital Signal Processing Systems: Design and Implementation, Wiley,

1999.

[2] S. Y. Kung, VLSI Array Processors, Prentice Hall, 1988.


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[3] L. Wanhammer, DSP Integrated Circuits, Academic Press, 1999.

[4] M. J. Smith, Application-Specific Integrated Circuits, Addison Wesley.

[5] D. E. Thomas, The Verilog Hardware Description Language, Kluwer Academic.

[6] W. F. Lee, Verilog Coding for logic Synthesis, Wiley-interscience, 2003.

[7] H. Bhatnagar, advanced ASIC Chip Synthesis Using Synopsys DC, Physical Compiler &

Prime Time.


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Last Edition: F2012 Group: Medical Engineering

Objectives: Introduction to Statistical Pattern Recognition and its Applications.

Topics:

• Introduction to basics concepts and definition.

• Bayesian Decision Theory and Discrimination Functions.

• Linear Discrimination Function (Perceptron and SVM).

• Nonlinear Discrimination Function (MLP, General Function Approximation, RBF, and

non linear SVM).

• Feature Dimension Reduction.

• Feature Generation using Linear Transform (KL, PCA, LDA, ICA, DFT, DCT, DST, Haar,

and wavelet).

• Feature Generation, Advanced Approaches.

• Clustering Methods.

References:

[1] S. Theodoridis, K. Koutroumbas, Pattern Recognition, Academic Press, 2009.

[2] R. Duda, P. Hart, D. Stock, Pattern Classification, Wiley, 2000.

[3] K. Fukunaga, Introduction to Statistical Pattern Recognition, Academic Press, 1990.


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Objectives: Follow-up course from Bioinstruments.

Topics:

• Introduction: Course and detailed project presentation.

• Internal Electrical Stimulators.

Functional Electrical Stimulation.

Brain Stimulators (Parkinson, Epilespsy).

Spinal cord stimulator (Pain control).

Transcutaneous energy transfer system.

Common risks associated with internal electrical stimulators.

• External Electrical Stimulators.

Transcutaneous Electrical Nerve Stimulation.

Neuromuscular Electrical Nerve Stimulation.

High Volt Pulsed Galvanic Stimulation.

Microcurrent Electrical Nerve Stimulation.

Defibrillators.

Temporary systems.

• Cardiac assist devices.

Aortic balloon.

Extracorporeal circulation (ECC) during open-heart surgery.

• Ventilators.

• Electrosurgical units.

• Drug infusion pumps.

• Myoelectric upper limb prosthesis.

• Hemodyaliser.

• Lithotripter.

• Chemical Biosensors.

Blood Gas Analysis.

Blood glucose sensors.

• Course Project.

References:

[1] J. G. Webster, Medical Instrumentation: Application & Design, Prentice Hall, 1998.

[2] J. Carr, Introduction to Biomedical Equipment Technology, PHI.

[3] H. T. Nagle, W. J. Tompkins, Case Studies in Medical Instrument Design, IEEE, 1992.


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Objectives: To address important topics in medical instrumentation design. Students will

become familiar with the actual environment in which the devices are used through a

hospital internship.

Topics:

• Review of Basic concepts and Definitions.

General Medical Instrument Block Diagram, Biosignals’ Characteristics (amplitude

and frequency range), Condition for Faithful Reproduction of Signals, Hypothesis

Testing, Good Clinical Practice (Background/Protocols/Consent Form), Taking a

Design to the Market: Challenges.

• Blood Pressure and Sound.

Invasive BP: liquid column catheters and their models, fiber-optic sensing. Non-

invasive BP: sphygmomanometers (Korotkof), oscillometric & derivative

oscillometric, tonometry, pulse-transit time. Phonocardiography, stethoscope

frequency response and anemometry.

• Measurement of Flow and Volume of Blood.

Dye infusion techniques (continuous and bolus injection), electromagnetic

flowmeters, phase-sensitive detection, bidirectional ultrasonic flowmeters

(continuous and pulsed), plethysmography (chamber, impedance, photo-).

• Clinical Laboratory Instrumentation.

Spectrophotometers, flame-photometers, co-oximeter, fluorometry, end-point and

rate-assays, auto-analyzers, chromatography, electrophoresis, turbidimetery,

nephelometry, cell-counters, flow-cytometry.

• Electrical Safety.

Physiological effects of electrical currents, hazard circuits, macroshock and

microshock, protection (isolated AC power, GFCI, LIM, equipotentiality, isolated DC

power, Class I, II and III devices, insulated transducers), testing (NFPA/IEC standards),

medical batteries/cordsets, arcflash hazards, symbols, IEC60601

(base/collateral/particular/performance) standards, ISO13485 Quality Management.

FDA seminar.

• Hospital Internship.

References:

[1] J. G. Webster, Medical Instrumentation: Application & Design, Prentice Hall, 1998.

[2] J. Carr, Introduction to Biomedical Equipment Technology, PHI.


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Objectives:

Topics:

• Fundamentals of Medical Imaging Systems: Medical Imaging Modalities – History.

• Tomography: Concept – Basic Tomography Image Formula – Relationship between

Object and Image – Fourier Representation – Approximation to find Object or Source

from Images.

• Projection: Projection of a 2D object – Radon Transform - Techniques to find

Projections from an Object – Examples.

• Techniques for Image Reconstruction from Projections: Projection Central Theorem –

Reconstruction Formula – Cost Analysis -Simplification & Approximation – Examples.

• Fan-beam Projection: Fan-beam parameters – Relationship with Radon Transform

Parameters – Reconstruction from Fan-beam Data – Computer Techniques.

• CT-Scan Technology: X-ray Production – Detector Technology – Assembly of the

System.

• Interaction of EM waves with the body: Interaction of charged particles with Matter

– Interaction of Energy with Matters – Photoelectric Absorption – Compton

Scattering – Pair Production.

• Gamma-Ray and X-Ray Energy Detection Technology: Ionizing Chambers -

Scintillation Detectors – Decreasing Detector Resolution.

• Simulation Techniques: Object Simulation – EM-wave Transmission Simulation –

Detector Simulation.

• MRI Technology: Introduction to MRI – History.

• MRI Basic Physics: Force exerted from Magnetic Fields to rotating charged particles –

Torque Calculation – Bloch Equation – RF Field Interaction – Relaxation Time.

• MRI Interaction with the Objects: Interaction of objects with Magnetic Field –

Gradient Fields - Basic Equations.

• MRI Reconstruction Techniques: Image Reconstruction from measurements – Cost

Analysis – Frequency Encoding – Phase Encoding – K-Space Image Reconstruction.

• Characteristics of MRI Systems: Magnet – Gradient Coils - RF coils Transmitter and

Receivers.

• Electrical Impedance Tomography: Introduction – History – Block Method Approach.

• Fundamental Equations in EIT: Block parameters and Assumption – Relationship

between block parameters – Relationship between neighbors – Boundary

Conditions.


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• Reconstruction Techniques: System Equations – Cost Analysis – Reconstruction using

Measured Data.

• PET (Positron Emission Tomography): Production of positron emitting isotope -

Transport of labeled compound - Data acquisition with PET camera - Processing of

data from PET camera - Interpretation of the result.

• SPECT (Single Photon Emission Computerized Tomography): System Description –

Fundamental Equations – Reconstruction Techniques.

References:

[1] Ch. L. Epstein, The Mathematics of Medical Imaging, 2001.

[2] A. C. Kak, Malcolm Slaney, Principles of Computerized Tomographic Imaging, IEEE

press, 1999.

[3] Mathematics and Physics of Emerging Biomedical Imaging, Academy Press, 2000.

[4] T. Jevremovic, Nuclear Principles in Engineering, Springer, 2005.

[5] Z. Liang, P. C. Lauterbur, Principles of Magnetic Resonance Imaging, IEEE Press, 2000.


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Objectives:

Topics:

• Deterministic Signals and Cepstrum Analysis.

• Biomedical Signals: Origin and types.

• Stochastic Process.

Probability, Random Variables and Random Vectors.

Random Processes.

Stationarity and Ergodicity.

LTI Systems with Stochastic Inputs.

Random Processes in the Frequency Domain.

• Finite Time Estimation of Random Process Parameters.

Estimation of Mean, Variance and Correlation (Continuous and Discrete Cases).

Synchronous Averaging.

• Time Series and Parametric Modeling.

Linear Random Process and Parametric Models (AR, MA and ARMA).

Other Models.

Applications.

• Spectral Estimations.

Non Parametric Approaches.

Parametric Approaches.

Prony, PHD and Capon Methods.

Applications.

• Estimation and Kalman Filtering.

Estimation of a Random Vector.

Estimation of a Random Process given an Observation (Wiener Filtering: IIR non-

causal. IIR causal, FIR).

Kalman Filtering and Noise Reduction.

Applications.

• Adaptive Filters.

Adaptive Filtering for Estimation and Noise Cancellation.

Convergence of FIR Adaptive Filter.

Adaptive Noise Cancelling with and without Reference.

Applications.

• Classification.

Pattern Recognition and Classification.


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Bayesian Classification and Gaussian Distribution of Features.

Feature Reduction and Feature Selection.

Evaluation Performance.

Applications.

References:

[1] Cohen, Biomedical Signal Processing, CRC Press, 1986.

[2] A. V. Oppenheim, Discrete Time Signal Processing, Prentice Hall, 1989.

[3] A. Papoulis, Probability, Random Variables and Stochastic Processes, McGraw Hill,

2002.


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Objectives: To provide an introduction and a review of the essential physics and principles of

diagnostic ultrasound.

Topics:

• Introduction.

• Acoustic Wave Propagation.

• Attenuation.

• Transducers.

• Bioeffecrs and Safety Effects.

References:

[1] T. L. Szabo, Diagnostic Ultrasound Imaging: Inside Out, Academic Press, 2004.

[2] R. S. C. Cobbold, Foundations of Biomedical Ultrasound, 2006.

[3] C. R. Hill, J. C. Bamber, G. R. Haar, Physical Principles of Medical Ultrasonics, John

Wiley & Sons, 2004.

[4] L. E. Kinsler, A. R. Frey, A. B. Coppens, J. V. Sanders, Fundamentals of Acoustics,

Wiley, 1999.

[5] S. Kino, Acoustic Waves: Devices, Imaging and Analog Signal Processing, Prentice

Hall, 1986.

[6] P. Wells, Biomedical ultrasonics, Academic Press, 1977.


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First Presentation: F2003 Level: Ph.D.


Objectives:

Topics:

• Hidden Markov Models (HMM).

Observable Markov Model and Markov Chain.

HMM (Discrete, Continuous) and three problems (Evaluation, Inference, Learning).

Viterbi Algorithm.

Hidden Semi Markov Model (HSMM).

Coupled HMM.

Coupled HSMM.

• Estimation and Kalman Filtering.

Linear and Affine Estimation.

Kalman Filter.

Extended Kalman Filter.

Unscented Kalman Filter.

Particle Kalman Filter.

• Bayesian Dynamic Network (DBN).

Bayesian Network and DBN.

Convergence of FIR Adaptive Filter.

Kalman Filter and HMM as a DBN.

Switching Kalman Filter.

• Higher Order Spectra (HOS).

Moments and Cumulants of Random Variables.

Moments and Cumulants of Random Processes.

Moment Spectra and Cumulant Spectra of Random Processes.

Moment Spectra and Cumulant Spectra of LTI Systems with Stochastic Inputs.

Quadratic Phase Coupling.

Delay Estimation.

Estimation of HOS.

Higher Order Parametric Models.

• Subspace Decomposition and Denoising based on Blind Source Separation (BSS)

Approaches.

Review of some BSS methods.

Algorithms based on Spatial/Temporal Uncorrelatedness.

Algorithms based on Joint Diagonalization.

Periodic Component Analysis.


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Denoisng, Subspace Decomposition and BSS.

Subspace Decomposition based on Generalized Eigenvalue Decomposition.

Deflation Subspace Decomposition.

Denoising Source Separation.

References:

[1] L. R. Rabiner, A tutorial on Hidden Markov Models and selected applications in

speech recognition, Proc. of the IEEE, 1989.

[2] S. Haykin, Kalman Filtering and Neural Networks, John Wiley, 2001.

[3] C. L. Nikias, Higher Order Spectral Analysis, Prentice Hall, 1993.

[4] A. Hyvarinen, J. Karhunen, E. Oja, Independent Component Analysis, John Wiley,

2001.


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Objectives: Introduction to Methods of Analysis and Processing Medical Images.

Topics:

• A Review on Medical Imaging Systems, Images, and Modalities.

• A Review on Digital Image Processing.

• Advanced Methods in Medical Image Noise Removal.

Non Local Mean (NLM).

Nonlinear Anisotropic Diffusion Filtering.

Wavelet Denoising.

• Advanced Methods in Medical Image Segmentation.

Statistical Methods (GMM, PNN, MLP, …).

Region Based.

Deformable Models.

• Medical Image Registration: Medical Image Interpolation.

• Feature Based.

• Voxel Based.

References:

[1] A. P. Dhawan, H. K. Huang, D. Kim, Principles and Advanced Methods in Medical

Imaging and Image Analysis, 2008.

[2] Th. M. Deserno, Biomedical Image Processing, Springer-Verlag, 2011.

[3] G. Dougherty, Medical Image Processing-Techniques and Applications, Springer-

Verlag, 2011.

[4] M. A. Haidekker, Advanced Biomedical Image Analysis, Wiley, 2011.

[5] R. M. Rangayyan, Biomedical Images Analysis, 2005.

[6] J. S. Suri, D. L. Wilson, Handbook of Biomedical Image Analysis, 2005.

[7] O. Scherzer, Mathematical Models for Registration and Applications to Medical

Imaging, 2006.

[8] L. Costaridou, Medical Image Analysis Methods, 2005.

[9] T. S. Yoo, Insight into Images: Principles and Practice for Segmentation, Registration,

and Image Analysis, 2004.

[10] J. Jan, Medical Image Processing, Reconstruction and Restoration: Concepts and

Methods, 2005.

[11] A. A. Goshtasby, 2-D and 3-D Image Registration for Medical, Remote Sensing, and

Industrial Applications, 2005.

[12] J. Hanjal, D. Hawkes, D. Hill, Medical Image Registration, 2001.


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[13] I. N. Bankman, Handbook of Medical Imaging – Processing and Analysis, 2000.

[14] A. Meyer-Base, Pattern Recognition for Medical Imaging, 2004.

[15] M. Dekker, Image Processing Techniques for Tumor Detection.

syllabus of gradute courses

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