Masters & Post Graduate(Doctorial) Courses Details

ECE - 6254 Statistical Digital Signal Processing & Modeling Credit Hours 3 semester credit hours Area of Specialization DSP / Architecture Course Outline The main thrust of the course is to provide students with a solid understanding of four inter-related and essential topics in statistical signal processing applications: Signal Modeling, Optimum Filtering, Adaptive Filtering and Spectrum Estimation. The course begins with a basic review of the essential mathematical tools and moves up to equip the students with the proper knowledge to characterize, model, estimate and spectrally analyze the most common random processes they will come across - digital signals. Broad Course Contents Mathematical Background (Discrete-Time Signal Processing, Linear Algebra, Random Variable and their properties) Random Processes (Random Processes and their properties, Filtering and Factorizing Random Processes, Special Types) Signal Modeling (Least Squares Modeling, Prony's Method, ARMA Models) Optimum Filters (Wiener Filters, Discrete Kalman Filter) Adaptive Filters (Steepest Descent, LMS, RLS). Spectral Estimation (Periodogram, Welch's Periodogram, Parametric Methods, MUSIC, APES). Prerequisites - Suggested Text M. Hayes, Statistical Digital Signal Processing and Modeling, Wiley, ISBN 471594318

ECE - 7650 Simulation Modeling & Evaluation of Mobile Networks Credit Hours 3 semester credit hours Area of Specialization Computer Networks / Communications Course Outline This course focuses on current research issues in wireless communication systems and networks with more focus on wireless networking issues. Topics include multiple access techniques, ad-hoc wireless networking and stochastic geometry for the analysis and design of wireless networks. A rough set of the topics to be covered is given during the first week of classes. Lectures are based on required reading from magazine and journal articles, textbook sections, or supplemental handouts. Students present current research papers to the class as part of the lectures. A term project is also part of the course requirements. The course will have three important aspects – Lectures on course topics, Paper reviews with class discussions and research based group projects. Broad Course Contents Multiuser systems (Chapters 13.4 and 14, additional papers) Ad hoc wireless networks (Chapter 16, additional papers) Stochastic Geometry for the Analysis and Design of Wireless Networks (from papers) Simulation Modeling of Wireless networks (papers) Cognitive radio networks (papers) Sensor networks (papers) Applications & cross-layer design (papers) Additional topics, project presentations Prerequisites ECE- 7703 Wireless Communication, ECE-7611 Advanced Communication Theory and its prerequisites. Note: THE PREREQUISITES ARE A MUST TO TAKE THE CLASS. Suggested Text A.J. Goldsmith, Wireless Communications, Cambridge. This is an excellent recently published book that achieves a good balance between broad insights, theoretical detail, and practical design insights. Additional course notes and unpublished materials will be provided as neededJeffrey Reed, "Software Defined Radio – A modern approach to radio engineering"

ECE - 6617 Information & Coding Theory Credit Hours 3 semester credit hours Area of Specialization Computer Networks / Communications Course Outline Information theory deals with, how much information is transmitted, how much is lost during transmission and how much information is received on the other side. Information theory also deals with source coding, channels and channel capacity, entropy, Shannon’s theorems etc. Coding theory deals with the issues of protection of data while passing through hostile environment. It deals with techniques that add enough redundancy in data to protect the information bits without overloading the system. Broad Course Contents Discrete Sources and Entropy: Information Entropy Shannon’s Source Coding Theorem Huffman Coding Lempel-ziv Coding Channels and Channel Capacity: The Discrete Memoryless Channel Binary Symmetric Channel Shannon’s Channel Coding Theorem Block Coding Sources With Memory and Markov Processes Constrained Channels, Data-translation Codes Run-length Limited Codes: Prefix Codes and Block Codes Fixed-length Block Codes Variable-length Block Codes Look Ahead Codes DC-Free Codes Linear Block Error-correcting Codes: Binary Fields and Vector Spaces Linear Block Codes Hamming Codes Error Rate Performance Bounds Cyclic Codes: Polynomial Representation of Cyclic Codes Generation and Decoding of Cyclic Codes Hamming Codes BCH Codes Modifications to Cyclic Codes Convolutional Codes: Structural Properties Viterbi Algorithm Viterbi Algorithm: Hard-decision Decoding Viterbi Algorithm: Soft-decision Decoding Traceback Method of Viterbi Decoding Trellis Coded Modulation: Multi-amplitude/phase Discrete Memoryless channels Recursive Convolutional Encoders Signal Mapping and Set Partitioning Trellis Codes for PSK and QAM Information Theory and Cryptography: Cryptosystems, Language Entropy and Ciphertext Attacks Product Cipher Systems Public-key Cryptosystems. Prerequisites ECE 4601 Communication System, MATH 4601 Probabaility and Random Variables Suggested Text Applied Coding and Information Theory for Engineers” by Richard B. Wells

ECE - 7616 Mobile Networking Credit Hours 3 semester credit hours Area of Specialization Computer Networks / Communications Course Outline This course examines mobile data networks, mobility issues in networking and covers fundamentals of mobile network architectures. It briefly discusses the operation of wireless telecommunications systems like GPRS and 3G systems without going into the physical layer details. It explains and analyzes the operation of wireless PANs and LANs, including IEEE 802.11 and Bluetooth. Another focus of this course is on routing schemes for mobile and nomadic hosts, including Mobile IP, mobile ad hoc network (MANET) protocols, DHCP and IPv6. Broad Course Contents Basics of Wireless Networks and Mobile Computing Mobility Management in: Bluetooth PANs IEEE 802.11 Wireless LANs GPRS UMTS WANs Wireless ATM Multiple Access Methods Aloha CSMA CSMA/CA, etc. EY-NPMA Mobile IP: Advertisement and Registration Mobile IP Route Optimization Mobile IP Applications Mobile Ad Hoc Networks (MANETs): Routing in Mobile Ad Hoc Networks L2 Interaction Scalability QoS and Security in MANETs Open issues in MANETs Mobility support in DHCP and IPv6 Brief introduction to Satellite Communication Networks, WAP, iMode, etc. Prerequisites ECE 6607 Computer Networks. Thorough understanding of computer networks, Routing protocols, and the TCP/IP protocol suite. Suggested Text Ad Hoc Networking by Charls Perkins, Ist Edition, Eddison-Wesley. Mobile IP by Charlse Perkins, Ist Edition, Prentice Hall. Wireless LANs by James T. Geier and Jim Geier, Seceond Edition, SAMS.

ECE - 7704 Software Defined Radios Credit Hours 3 semester credit hours Area of Specialization Computer Networks / Communications Course Outline Recently, an important paradigm shift in the design methodology of radios/transceivers has occurred in the name of Software Defined Radios (SDRs). Ideal SDRs have the entire signal processing from signal generation till antenna in a programmable/software form but practically, this is limited by hardware/interface/regulatory constraints. This paradigm shift requires re-visiting important transceiver algorithms from a software implementation point of view. In this course we will try to encompass important transceiver algorithms from an SDR point of view. Hardware limitations like those of interface compliances and ADC/DAC constraints will be discussed. Multiple existing development tools/platforms for SDRs will also be discussed along with the standardization efforts/architectures concerning SDRs. Finally the new evolution of SDR known as the Cognitive Radio and the associated algorithms will be discussed in this course. Broad Course Contents Course Overview + Introduction to SDR Tools/Methodologies/Platforms for SDR design OSSIE environment SCA – Software Communication Architecture Signal Processing for SDR Pulse shaping Modulation/demodulation algorithms Equalization Synchronization algorithms Filter design etc Hardware Constraints ADC/DAC Cognitive Radios Spectrum Sensing Spectrum Sharing Cognitive Radio Networks Case Study for an SDR Applications/Future/Research Prerequisites Digital Communications, Signal and Systems, DSP (preferred). Suggested Text Jeffrey Reed, "Software Defined Radio – A modern approach to radio engineering" Tony Rouphael, "RF and DSP for Software Defined Radio" Bill Sethares, "Telecommunications Breakdown" Behrouz farhang, "Signal Processing for SDR"

ECE 7259 Advanced Computer Vision Credit Hours 3 semester credit hours Area of Specialization Digital Signal Processing / Computer Architecture Broad Course Contents Introduction to computer vision Image enhancement in spatial domain Image enhancement in Fourier domain Edge detection, derivative of the Gaussian PCA-based face recognition Lung nodules detection in X-ray images Pseudo-color processing for angiogram image enhancement Prerequisites - Suggested Text -

ECE - 6277 DSP Software System Design Credit Hours 3 semester credit hours Area of Specialization Digital Signal Processing / Computer Architecture Course Outline This course provides the know-how for the implementation and optimization of computationally intensive signal processing algorithms on these DSP processors. Our everyday lives involve the use of DSP systems in things such as cell phones and high-speed modems; Companies like Texas Instruments, Analog Devices, Lucent, have introduced several DSP processors to meet the high performance demands of today's signal processing applications. Broad Course Contents Introduction to DSP algorithms Introduction to DSP processors DSP processors architectures Compilation and execution environments Fixed point and floating point issues Software architecture for DSP boards and systems Host interfaces I/O interfaces DMA Serial port Timer Interrupts Real-time operating systems DSP program framework and API Real-time program architecture Prerequisites C programming, Assembly Programming, Computer Organization, ECE 4201 Signal and Systems, DSP (preferred) Suggested Text User Manuals: TMS320C3x, TMS320C6x, TMS320C54x. Communication System Design Using DSP Algorithms with Laboratory Experiments for the TMS320C30 by Steven A. Tertter.

ECE - 6271 Adaptive Filters Credit Hours 3 semester credit hours Area of Specialization Digital Signal Processing / Computer Architecture Course Outline Adaptive filter finds wide applications in the filed of digital signal processing, communications, estimation and control, navigation and radar signal processing. The emphasis of this course will be on the development of clear concepts to build a sound theoretical foundation for adaptive filtering applications. Broad Course Contents Review of discrete time stochastic processes Wiener Filters Steepest Descent Method Theory of LMS algorithm Recursive Least Square (RLS) algorithm Kalman Filtering Applications, a) Line Echo Cancellation, b) Adaptive beamforming, c) Kalman filter based estimation and measurements. Prerequisites The only pre-requisite is undergraduate level signals and systems course. Suggested Text Adaptive Filters Theory and Applications by B. Farhang-Boroujeny, John Wiley & Sons, 1998 Adaptive Filters by A. H. Sayed, John Wiley & Sons, 2008.

ECE - 6130 Advanced VLSI Designs Credit Hours 3 semester credit hours Area of Specialization Digital Signal Processing / Computer Architecture Course Outline This course covers various aspects of VLSI system design, starting from high level architectural and logic design issues and going all the way down to the fabrication and layout issues. While the course does introduce the high level design approaches such as Verilog HDL based design, yet the bulk of the course deals with transistor level circuit design and layout issues as these are essential for developing a deep understanding of the working of digital integrated circuits and to understand the area, speed and power tradeoffs involved in VLSI design. Broad Course Contents Overview of VLSI systems Complexity Wires and switches Fabrication and layout MOS Transistors Switch and gate logic CMOS gates Capacitance and switch level Simulation Gate logic: Logic optimization High level design Hardware description languages Clocking of VLSI systems Synthesis Implementation constraints and high level planning Cell design issues Pseudo NMOS and pre-charged logic MOS memory design MOS decoders – gate sizing MOS delay models Distributed RC Tree Data-path functional units – Adders Shifters and multipliers Testing Design for testability Input/output issues Pads ESD Power Low power design Prerequisites This class will assume a background in digital logic, and some understanding of RC circuits. The class will also use a number of CAD tools. You will learn how to use the Irsim switch-level simulator, the Magic layout system, and the Verilog functional simulator. Suggested Text Digital Integrated Circuit for Design Perspective by Jan. M Rabaey 2nd Edition

ECE - 6551 Digital Control Systems Credit Hours 3 semester credit hours Area of Specialization Control / Modeling and Simulation Broad Course Contents Introduction to discrete time systems Practical aspects of discrete time systems Z -Transform and Inverse –Transform Z -Transform analysis of SISO systems Digital Signal Processing Delta Transform Discrete Time Fourier Transform and Applications Introduction to Discrete Time Control Root Locus Nyquist Theorem State Space Analysis and design Pole Placement Observers Optimal Control Prerequisites Linear Systems Suggested Text Discrete-Time Control Systems, 2e, Katsuhiko Ogata, Prentice Hall, 1995.

MATH - 6007 Integral Equations and Transforms Credit Hours 3 semester credit hours Area of Specialization Mathematics Course Outline The integral equation approach leads quite naturally to the solution of the problem as an infinite series, known as the Neumann expansion, in which the successive terms arise from the application of an iterative procedure. Therefore, in this course we present an introduction to integral equations and study the techniques to solve these equations. In general, integral transforms often provide a convenient method for finding solutions to differential as well as to integral equations. Broad Course Contents Theory and application of integral transforms Laplace Transform Fourier Transform Mellin Transform Hankel Transform Hilbert Transform H-Transform; Y-transform Z-Transform, etc. Convolution theorem, etc Introduction and modeling problems in terms of integral equations Classicfication of integral equations Some important identities Volterra's theory of Integral equations ( First kind and second kind) and their solution by Resolvent Kernel method Successive Approx Method Laplace Transform method Fredholm theory of Integral Equations of first kind ( with Degenerate Kernel & Symmetric Kernel) Fredholm Integral Equation of second kind Prerequisites - Suggested Text -

MATH - 5005 Advanced Engineering Mathematics Credit Hours 3 semester credit hours Area of Specialization Pre-Requisite Course Outline In this course the students will learn how to solve boundary value problems analytically. This will enable them to develop command over one of the two techniques, namely: - Analytical Techniques - Numerical Techniques for the solution of boundary value problems Broad Course Contents First Order Differential Equations Second Order Linear Equations Series Solutions of Second Order Linear Equations Higher Order Linear Equations The Laplace Transform System of First Order Linear Equations Partial Differential Equations and Fourier Series Boundary Value Problems and Sturm Liouville Theory Non Linear Differential Equations Prerequisites - Suggested Text Ordinary Differential Eq. With boundary value prob. By Boyce & Diprima

ECE - 4002 C & Data Structures Credit Hours 3 semester credit hours Area of Specialization Pre-Requisite Course Outline C & Data Structures is a training course designed for users with a solid working knowledge of C language basics who have also successfully completed the Advanced C course. Students in this course are also introduced to various searching and sorting methods and are also expected to develop an intuitive understanding of the complexity of these algorithms. Broad Course Contents Introduction Basic Structure of C Program Using Variables Using Standard Output Using Standard Input Using Loops Flow Control Functions Operators and Macros Structures and Unions Arrays, Strings as character arrays Pointer variables Memory Management File Handling Iteration vs. Recursion Data Organization Overview Linked-List Types of Linked-Lists Part-I Types of Linked-Lists Part-II Binary Tree Balanced Binary Trees Rapid Sorting Algorithms Useful Sorting Techniques Merge Strategies Introducing Graphs Working with Graphs Prerequisites Introduction to Computing Suggested Text Data Structures and Algorithms in C++ by Adam Drozdek Object-Oriented Programming in C++ by Robert Lafore C++ by Dietel & Dietel

ECE - 6607 Computer Networks Credit Hours 3 semester credit hours Area of Specialization Computer Networks / Communications Course Outline The course focuses on the TCP/IP protocol suite, but also touch on other protocols such as Asynchronous Transfer Mode (ATM). The course involves Linux-based network programming using the C language. This programming experience is intended to provide you with a solid understanding of the services provided by the TCP/IP protocol suite used on the Internet. Broad Course Contents Layered architectures (Internet and the OSI Reference Model), Overview of networking and communication software (Sockets), Standards in networks access protocols (CSMA, etc.), Architectures and control algorithms of local-area, point-to-point, and mobile networks, Models of network interconnection, Design issues and protocols in the data link, network, and transport layers, Direct Link Networks, Encoding and Framing, Error Detection and Reliable Transmission, Ethernet and Token Ring Networks, Wireless 802.11 Networks, Packet-Switched Networks, Switching and Forwarding, Bridges and LAN Wwitches, Cell Switching (ATM), Internetworking, Internet Protocol (IP), Unicast and Multicast Routing, Global Internet, MPLS, End-to-End Protocols, UDP, TCP and RPC, Congestion Control and Network QoS, Resource Allocation and Queuing Disciplines, Congestion Control and Avoidance Mechanisms, Quality of Service, Representation of End-to-End Data, Presentation Formatting (ASN.1, etc.), Data Compression Techniques (JPEG, MPEG, MP3), Network Applications, DNS, HTTP, SMTP, etc., Overlay Networks and Peer-to-Peer Networking Prerequisites Understanding of computer architecture, Good knowledge of C language (ECE 4002 C and Data Structures), Suggested Text Computer Networks: A Systems Approach, 3rd Edition by Larry Peterson, Bruce Davie, Morgan Kaufman Publishers, 2003.

ECE - 6602 Digital Communications Credit Hours 3 semester credit hours Area of Specialization Computer Networks / Communications Course Outline The course covers concepts and useful tools for design and performance analysis of digital transmitters and receivers in the physical layer of a communication system. Broad Course Contents Signal and Spectra, Formatting and Baseband Modulation, Baseband Demodulation/ Detection, Bandpass Modulation and Demodulation/Detection, Communication Link Analysis, Channel Coding, Modulation and Coding Trade-Offs, Miscellaneous Topics. Prerequisites ECE 4201 Signal and Systems Recommended: MATH 4601 Probability and Random Variables, ECE 6601 Stochastic Processes Suggested Text Digital Communication, by Sklar.

ECE - 7611 Advanced Communication Theory Credit Hours 3 semester credit hours Area of Specialization Computer Networks / Communications Course Outline This course is meant to provide a strong foundation for students who wish to work in the areas of communication system design with high emphasis on wireless communication research. It is primarily focused on digital aspects of communication theory and wireless communication. Broad Course Contents Fundamental Problems in Information Theory Wideband and narrowband channel models Capacity of fading channels Digital modulation in wireless channels Adaptive Modulation Diversity (both receive and transmit) Multicarrier Modulation Spread spectrum, RAKE receivers, and CDMA Multiple access channels and their capacities Multiuser diversity Ad hoc and mesh networks: physical layer view and capacity Prerequisites ECE-6602 Digital Communications and its prerequisites, MATH - 4601 Probability and Random Variables and ECE- 7703 Wireless Communication. Understanding of computer architecture, Good knowledge of C language (ECE 4002 C and Data Structures), Suggested Text A.J. Goldsmith, Wireless Communications, Cambridge. This is an excellent recently published book that achieves a good balance between broad insights, theoretical detail, and practical design insights. Additional course notes and unpublished materials will be provided as needed.

ECE 7103 Advanced Digital Design Credit Hours 3 semester credit hours Area of Specialization Digital Signal Processing / Computer Architecture Course Outline This course is designed to introduce engineers and designers advanced digital design concepts. The students are taught different steps in the design flow of VLSI IC circuit designing using HDLs. They will be exposed to mapping computationally intensive algorithms in different engineering applications on FPGAs. Broad Course Contents High-level digital design methodology using Verilog, Reusable Methodology, HDL coding for synthesis, FPGA based Digital Design, XILINX ISE 6.1i synthesys and implementation tool workshop, Datapath and Controller Design Partitioning, Design of Datapath Units, Algorithmic state machine based design, Time shared and pipeline architectures, Digital design of high speed computational unit, Single Cycle and Pipelined Processor, VLIW and SuperScalor Architecture. Prerequisites ECE 4001 Digital Logic Design and Computer Architecture, ECE 4201 Signals and Systems Suggested Text Advanced Digital Design with the Verilog HDL by Michael D. Cilietti Microprogrammed Statemachine Design by Michel A. Lynch Digital Design of Signal Processing and Communication Systems by Shoab Khan (draft)

ECE 6258 Digital Image Processing Credit Hours 3 semester credit hours Area of Specialization Digital Signal Processing / Computer Architecture Course Outline This course will help the students to have sufficient academic and practical knowledge of image processing algorithms development and implementation. The course is related to the field of computer vision. Broad Course Contents Introduction to Image Processing, Digital Image Fundamentals, and Image Acquisition, Image Enhancement in Spatial Domain, - Pixel Operations & Histogram Processing, - Histogram Equalization, - Histogram specification and local enhancement techniques, - Local enhancement techniques using Spatial (Mask) Filtering, Image Enhancement in Frequency Domain, - Basic Properties of Fourier Transforms, - Properties and Implementation (FFT’s), - Frequency Domain Filtering, Image Sampling, Image Restoration, - Noise models and additive noise removal, - Adaptive filtering, notch filtering and interactive restoration techniques for additive noise removal, - Degraded image restoration, - Geometric transformations, Color Imaging, Multi-resolution Processing (including Wavelet Transforms), Image Compression, - Introduction, - Error-free compression, - Predictive coding, - Transform coding, Morphological Image Processing, - Morphological Processing on Binary Images, - Morphological Processing on Grey Scale Images, Image segmentation, - Point, Line and Edge Detection, Edge Linking, and Thresholding, Water Marking and other Advanced Topics. Prerequisites Working knowledge of Matlab programming, Vector and matrix theory, Basics of Probability and Random Variables (CDF’s and PDF’s) e.g., MATH 4601 Probability and Random Variable, ECE 4201 Signals & Systems (Concept of Fourier Transform) is compulsory Suggested Text Digital Image Processing, R. C. Gonzalez and R. E. woods, 2nd edition, Pearson Education, Inc., 2002. Additional readings: Digital Image Processing using MATLAB, R. C. Gonzalez ,R. E. Woods and S.L. Eddins, Pearson Education, Inc., 2004. Class Slides

ECE 7554 Nonlinear Systems & Control Credit Hours 3 semester credit hours Area of Specialization Control / Modeling and Simulation Course Outline After this course the student should be able to analyze nonlinear dynamic systems and design nonlinear controllers. Broad Course Contents Introduction to Nonlinear Systems, System Trajectories, Describing Functions, Lyapunov Stability Theory, Lasalle Theorem, Lyapunov Theory for Discrete Time Systems, Circle Criterion, Passivity, Sliding Mode Control, Adaptive Control, Design applications. Prerequisites Linear Systems & Controls, Command on MATLAB Suggested Text Instructor Notes

MATH 6003 Numerical Methods Credit Hours 3 semester credit hours Area of Specialization Mathematics - Minor Broad Course Contents Programming for numerical calculations, round-off error, approximation and interpolation, numerical quadrature, and solution of ordinary differential equations. Iterative solution of systems of nonlinear equations, evaluation of eigenvalues and eigenvectors of matrices, applications to simple partial differential equations. Practice on the computer. Suggested Text Numerical Analysis, By Burden & Faires, Fifth Edition

ECE 8553 Advanced Nonlinear Systems and Control Credit Hours 3 semester credit hours Area of Specialization Control Systems Course Objective This course is a second graduate course in nonlinear systems. Concepts and techniques of advanced control system analysis and synthesis will be studied. The course is structured to emphasize some of the recent research activity in nonlinear analysis and control. We will use concepts from differential geometry, however the course is self contained in that this mathematics will be taught as part of the course. The approach will be generic, with preferential emphasis on nonlinear control synthesis techniques. The topics and examples covered will be generic enough so as to enable the students from all engineering fields to successfully complete the course. Course Outline Part 1: Nonlinear Control Concept Phase portrait Concepts, equilibrium points, Stability, asymptotically stability, exponential stability Autonomous system, Liapunov theorem, Invariant Theorem Lyapunov Analysis of Non-Autonomous Systems, Barbalat's Lemma Part 2: Advanced Topics in Feedback Linearization Lie Algebra, Lie derivative, Lie Brackets, Involutivity and Frobenius' Theorem Input-State Linearization, Local coordinate transformation, Exact Linearization via Feedback, Zero Dynamics, Disturbance decoupling, High gain feedback, Observation with linear error dynamics. Examples Input-output Linearization, Local coordinate transformation, Exact Linearization via Feedback, Non-interacting control, Achieving relative degree via Dynamical Extension. Examples Zero dynamics, Controlled Invariant distributions, Controllability distribution Asymptotic Stabilization via state feedback, Disturbance decoupling, Non-interacting control via Statics feedback, Non-interacting control: Necessary and Sufficient Conditions Tracking and Regulation Global Feedback Design for single –input single output systems. Part 3: Geometric Nonlinear Control Introduction to Differential Geometry, Center manifold theorem, Matrix Lie groups, properties, associated Lie algebras, examples Control of Systems on Lie Groups Design examples Global decomposition of Control System Input-output map and realization theory Prerequisites - Suggested Text A. Isidori. Nonlinear Control Systems, 3rd Edition. Springer, 1995. S. S. Sastry. Nonlinear Systems: Analysis, Stability, and Control. Springer-Verlag, 1999. H. K. Khalil. Nonlinear Systems, 3rd Edition. Prentice-Hall, 2002. J. J. Slotine and Weiping Li , Applied Nonlinear Control, Prentice-Hall, 1991, ISBN 0-13-040890-5

ECE 6802 Object Oriented Methodology Credit Hours 3 semester credit hours Area of Specialization Software - Minor Course Outline This course is explaining the development of object oriented software systems. Focuses on analysis and design issues of object oriented systems. Explains development of software architectures in the initial stages of the development activity. Introduces component-based software development and design patterns. Broad Course Contents Fundamentals of Object Oriented Model. Objects, classes, data abstraction and message communication, encapsulation, inheritance, object identity, polymorphism and dynamic linking. Compositional structures: Inheritance / Template / Aggregation / Delegation. Object Oriented Analysis (OOA). Object Oriented Design (OOD). Outstanding methodologies: OMT, UML. Extensibility and reusability. Toolkits, Frameworks, Design Patterns. Creational, Structural and Behavioral Patterns. Concurrent and Distributed OO Data Models and Systems. Support languages: Java, C++, and Smalltalk.

ECE 4001 Digital Logic Design and Computer Architecture Credit Hours 3 semester credit hours Area of Specialization Pre-Requisite Broad Course Contents Information Representation, Binary number system and codes, Introduction to Boolean Algebra, Logic Gates and Special Functions, Logic reduction techniques, Logic reduction techniques continued, Don’t Cares, NAND and NOR implementations, Combinational Logic Design concepts, Design methodology, HDL introduction, Code Converters, Encoders/Decoders, Combinational Logic Building Blocks: multiplexers, demultiplexers, arithmetic circuits, Combinational Circuit Design, Delays, Transient Operation, Hazards, Sequential Logic Circuit Fundamentals, Flip Flops, characteristic tables, Sequential Circuit Analysis and Design Techniques and HDL representation, Sequential Logic Building Blocks, Registers and counters, Programmable Logic Devices; ROM, PAL, PLD and FPGAs, Design of Large Complex Circuits (e.g. Digital Computer), Separation of Data and Control path, Data path design, pipelined data path, the ALU, Control path design, State machine design, Computer Architecture concepts, Instruction Set Architectures, CPU designs; CISC and RISC, Computer Memory Organization; RAM, CACHE, Virtual Memory, Bulk Storage, Input Output devices and Communication buses, PCI, DMA, Suggested Text M. Morris Mano and Charles R. Kime, Logic and Computer Design Fundamentals, Pearson Education Inc.

ECE 4201 Signal and Systems Credit Hours 3 semester credit hours Area of Specialization Pre-Requisite Broad Course Contents Continuous and Discrete time Signals, exponential and sinusoidal signals, unit step Functions, continuous discrete time systems and their properties. Response of LTI systems, Convolutional integral and summation, Properties of LTI systems, Difference and differential system representations of causal systems. Response of LTI systems to Complex exponentials, Fourier series representation and its properties (continuous and discrete time), Filtering concepts and difference equation representations of filters. Fourier representation of Aperiodic and periodic signals, properties of Continuous time Fourier transform, Characterization of systems by linear constant coefficient differential equations. Discrete time Fourier transform of periodic and non-periodic signals, Properties of Discrete time Fourier transform, Characterization of systems by linear constant coefficient differential equations. Sampling Techniques, Sampling Theorem, Interpolation and Decimation, Aliasing and Signal Reconstruction from its samples. Laplace Transform, ROC, Inverse Laplace Transform, Properties of Laplace Transform, System function algebra and block diagram representation. Z-transform, ROC, Inverse z-transform, properties of z-transform, analysis of LTI systems using z-transform. Prerequisites Working knowledge of Matlab programming and good background in Engineering mathematics would be required. Suggested Text Signal & Systems, 2nd Edition, Alan V. Oppenheim, Alan V. Willsksy

ECE 4501 Control Engineering Credit Hours 3 semester credit hours Area of Specialization Pre-Requisite Course Outline The course is aimed at setting up the foundation of Controls Concepts to Derive dynamic models of engineering systems, Analyze the stability and performance of a dynamic system in both frequency and time domain, Design controllers for SISO systems in frequency and time domain, Aware of major controller implementation issues, Design, implement and test controllers in a CAD framework. Broad Course Contents Dynamic System Modeling through Differential Equations. Motivation and Concept of Laplace Transforms. Basic Transfer Function Modeling of Dynamic Systems. Frequency domain parameters of a second Order System. Bode Analysis, Root Locus Analysis, Nyquist Analysis, PID Controller Design, Lead-Lag Compensation,Discrete Time Controller Design (Z- transform based), State Space Concepts, State Feedback Design, Observer Design, Linear Quadratic Regulator. Prerequisites Undergraduate level Mathematics, Command on any programming language. Suggested Text Modern Control Engineering (3rd Edition or higher ) by Katsuhiko Ogata, published by Prentice-Hall, Inc., ISBN : 0-13-227307-1.

MATH 4601 Probability and Random Variables Credit Hours 3 semester credit hours Area of Specialization Pre-Requisite Course Outline This course is an introduction to probability and random processes. The material covered is of central importance to many fields within electrical engineering and computer science including communications theory, communications networks and statistical signal processing. Broad Course Contents Introduction to probability, finite sample spaces, conditional probability and independence, one dimensional random variables, functions of random variables, two and higher dimensional random variables, further characterization of random variables, The Poisson and other discrete random variables, some important continuous random variables, The Moment generating functions, sums of random variables and central limit theorem. Suggested Text Probability and Random Analysis for Engineers

ECE7 - 7661 Wireless Technologies Credit Hours 3 semester credit hours Area of Specialization Network/ Comm Course Outline Wireless Networks and Mobile Systems, GPRS, Optical Wireless Technology, UMTS, WCDMA, EDGE, Designing a Wireless Network, Exploring the Design Process, Conducting the Preliminary , Investigation, Performing Analysis of the Existing Environment, Cross Layer Design Issues in Wireless Networks, Performance Objectives, Pitfalls of the Cross-Layer , Design Approach, QoS Provisioning in Wireless Networks, Issues and Challenges Involved in Providing QoS, Classification of QoS Solutions, QoS Model, Wireless Environment and Architecture, Diversity of Wireless Environment, Ubiquitous Computing, Info stations, Wire less Applications an overview, Communication for Mobile People, Mobile People, Person Layer Requirement, Mobile People Architecture, Wireless/Mobile Applications, Location and context aware pervasive computing, Service discovery and the Service Location Protocol, Wireless Imaging, Terahertz Imaging, Wireless Communication Trends and Challenges, Topological Design, Routing, and Handover in Satellite Networks, Introduction, Network Mobility and Traffic Modeling, Topology, Routing and Handover (in Satellite Networks) Prerequisites Computer Networks Suggested Text Designing a Wireless Network by Jeffrey Wheat, Randy Hiser, Jackie Tucker. Wireless Communication Systems by Xiaodong Wang, H. Vincent Poor Broadband Wireless Mobile 3G and Beyond by Willie W. Lu, SIEMENS, Handbook of Wireless Networks and Mobile Computing by Ivan Stojmenovic

ECE – 7607 Internetworking Architecture and Protocols Credit Hours 3 semester credit hours Area of Specialization Computer Networks / Communications Course Outline This is a graduate-level course in internetwork design and architecture. It covers addressing, binding, routing, internet and application protocols, principles, and architecture of the global Internet. The focus is on the TCP/IP Internet Protocol Suite. The goals are: To acquaint students with major internet protocols, their features, details, and functionality To introduce students to the literature, and To show students principles and abstractions underlying design choices and the consequent tradeoffs Students will solve homework problems, read RFCs and other pertinent literature. Broad Course Contents Introduction to internetworking. Basic networking concepts. Review of network hardware. Example networks including local and wide area networks (e.g., Ethernet and NSFnet/ANSNET backbones). Packet types and packet decoding. Internet concept. The TCP/IP Internet abstraction and architectural model. Internet addressing. Need for binding IP addresses. Dynamic binding and ARP protocol. Datagram concept and datagram format. Datagram (IP) routing. IP Connectionless delivery service Error messages and error handling. ICMP protocol. Specifics of ICMP messages Routers and datagram processing. Time-to-live. Datagram addresses and route destinations. Host-specific routes. Default (wildcard) routes. Protocol layering. Purpose. Internet reference model. Transport protocols. User datagram protocol (UDP) and protocol port numbers. Reliable stream delivery service (TCP). Flow control, windowing, acknowledgments. Three-way handshake. Protocol state diagram. Vector-distance and link-status routing algorithms. Route propagation. Core and non-core internet routing architecture. Example of vector-distance protocols. Autonomous systems concept. Reachability advertisement, EGP protocol. Weaknesses and alternatives. Path routing and BGP. Interior gateway protocols (e.g., RIP, HELLO, OSPF). Metric manipulation. Client-server model for applications. Examples. Domain name system (DNS). Other application-level services including: electronic mail (SMTP), file transfer (FTP and TFTP), remote login (TELENT and rlogin). Network management (SNMP, ASN.1) IPv6 and related protocols Performance modeling and estimation Traffic statistics and queuing analysis New research problems or topics. Students will solve homework problems, read RFCs and other pertinent literature. Suggested Text Douglas E. Comer: Internetworking With TCP/IP Vol. 1: Principles, Protocols and Architecture, Fifth Edition. Daniel Minoli, Andrew Schmidt: Internet Architectures Behrouz A. Forouzan: TCP/IP Protocol Suite, Third Edition James F. Kurose, Keith W. Ross: Computer Networking: A Top-Down Approach Featuring The internet, Third Edition William Stallings: High Speed Networks and Internets Relevant Request For Comments (RFC)

ECE-7703 Wireless Communication Credit Hours 3 semester credit hours Area of Specialization Computer Networks / Communications Course Outline This course covers fundamental techniques in design and operation of first, second, and third generation wireless networks: cellular systems, medium access techniques, radio propagation models, error control techniques, handoff, power control, common air protocols (AMPS, IS-95, IS-136, GSM, GPRS, EDGE, WCDMA, cdma2000, etc), radio resource and network management. Broad Course Contents Introduction to wireless communication systems and networks. Cellular Wireless Networks and System Principles. Antennas and Radio Propagation. Signal Encoding and Modulation techniques Spread Spectrum. UTRA Spreading and Modulation, Coding and Error Control. Multiple access techniques. 1G, 2G, and 2.5G wireless systems (AMPS, GSM, GPRS, EDGE, etc). The UMTS network and radio access technology. CDMA 2000. Soft handoff and power control. Wireless LANs. IEEE 802.1x. Miscellaneous Topics. Project presentations. Prerequisites ECE 6602 Digital Communication, ECE 6607 Computer Networks Suggested Text T.S. Rappaport, "Wireless Communications: Principles & Practice", Second Edition, Prentice Hall, 2002. Simon Haykin & Michael Moher, "Modern Wireless Communications", Prentice Hall, 2004.

ECE 7606 Advanced Digital Communications Credit Hours 3 semester credit hours Area of Specialization Computer Networks / Communications  Course Outline This course is designed to prepare students for advanced graduate work in the area of digital communications. The course covers concepts and useful tools for design and performance analysis of digital transmitters and receivers in the physical layer of a communication system. Special Requirement All students taking the course will be required to submit an undertaking that during the time they are enrolled in the course they will not search the web, nor will they use any material copied from the web in their assignments and for the preparation of the final exams. Broad Course Contents Signal Processing and Detection Pass band Systems and Analysis Equalization Fundamentals of Synchronization Miscellaneous Topics (separate material will be provided for theses topics). Paper review Each student will be required to review papers related to a selected topic (list to be provided during the course) related to digital communications published in technical journals or international conferences and write a report. Some student may be asked for a presentation. Prerequisites Digital Communication Systems Suggested Text Digital Communications by John Cioffi, Stanford University (pre-print available at CASE). References Digital Communications, Fourth Edition, J.G. Proakis, McGraw Hill, 2000. Digital Communication, Edward. A. Lee and David G. Messerschmitt, 2nd Ed. Kluwer Acad.

ECE 7561 Robust Control Systems Credit Hours 3 semester credit hours Area of Specialization Computer Networks / Communications  Course Outline The course introduces frequency domain robust control concepts for MIMO systems. Starting with SISO systems concepts like singular values, transmission zeros, stability, performance specifications and disturbance attenuation are also introduced. After going through loop-shaping and multivariable transmission zeros, state space realizations of transfer functions is covered. These concepts and definitions are used to formulate H2 and H¥ controllers. These controllers are synthesized with a treatise on stability margins. Later on, m-Problem is defined and formalized. Broad Course Contents The course is backed by the following case studies, which will run throughout the course along with the development of the theoretical concepts: Control of longitudinal dynamics of an aircraft, Control of a WindMill, Gen-Set Control, Automotive Control, Missile Control, Nuclear Reactor Control. Prerequisites ECE 6550 Linear Systems and Controls. Command on MATLAB/SIMULINK. Suggested Text Airplane Control Systems; m-synthesis approach by L. Mangiasacale.

MATH 6005 Real Analysis Credit Hours 3 semester credit hours Course Outline The real analysis and / advanced calculus ( a composition of algebra and geometry) are particularly very important in formulating the real world problems in almost all the areas of science and technology. Broad Course Contents Review of Basic Concepts of Algebra of the Set of Real Numbers, Euclidean Spaces, Functions and Linear Transformations, The General Concept of limt, Sequences and their Convergence, Continuity and Uniform Continuity of Functions, Continuous Functions between the Euclidean Spaces, The Derivatives, Higher Order Derivatives and Taylor’s Theorem, Maxima and Minima ( Method of Lagrange Multipliers), The Implicit function theorem, Reimann Integration, Infinite series of real numbers and functions; Uniform convergence, Improper Integrals;The Differential forms (if time permits). Suggested Text Multi-variable Calculus by Lawrance J. Crown & Robert, H.Szczarba, California Institute of Technology (Marcel Dekker Inc.) Modern Mathematical Analysis by Murray, H. Protter & Charles B. Morrey (Addison-Wesley Publishing company Inc.)

ECE 6801 Software Engineering Credit Hours 3 semester credit hours Broad Course Contents Ideas and techniques for designing, developing and modifying large software systems. Functions oriented and object oriented modular approach designing for reuse and maintainability. Specification and documentation. Verification and validation. Cost and quality metrices and estimation. Project team organization and management.

ECE 6363 - Theory and Design of Antennas Credit Hours 3 semester credit hours Area of Specialization Computer Networks / Communications Course Outline This course provides fundamental knowledge in the theory and practice of antennas used in modern wireless telecommunication systems. It starts with an introduction into the theory of electromagnetic radiation and a description of antenna parameters. Antenna measurements are introduced in brief. After the students become familiar with single radiators of geometry, they will be introduced into the principles of analysis and design of antenna arrays. Broad Course Contents Time varying fields Retarded potentials Poynting's theorem Reciprocity. Regions of reactive, transition, and far-field. Ideal dipole Antenna parameters: Directivity, Gain, and Aperture Dipole and loop antennas Driving point impedance CEM techniques for antennas Balanced and unbalanced antennas Antenna polarization Antenna temperature and noise Aperture antennas Feed structures Antenna arrays Prerequisites Undergraduate courses on electromagnetic field theory, microwave theory and techniques. Suggested Text Stutzman, Warren L., and Gary A. Thiele, Antenna theory and design, 2nd edition. Kraus, John D., and R.J. Marhefka, Antennas 2nd Edition McGraw-Hill Balanis, Constantine A., Antenna Theory 2nd Edition Wiley Elliott, Robert S., Antenna Theory and Design IEEE press series on electromagnetic wave theory, Wiley-IEEE press

ECE 6601 - Stochastic Processes Credit Hours 3 semester credit hours Area of Specialization Computer Networks / Communications (Also counted for Minor: Mathematics) Course Outline To acquaint students with various ways to model stochastic phenomena in dynamic systems. The interplay between the theoretical framework and practical applications is crucial in this course. Broad Course Contents Introduction to Random Processes Characterization of Random Processes The Complex Random Processes Mean, Correlation, and Covariance Functions The Concept of Stationarity and Ergodicity Properties of Autocorrelation Function Properties of Cross Correlation Function Periodic Random Processes Cyclostationery Processes Prerequisites MATH 4601 Probability and Random Variables Courses in Calculus and Linear Algebra Courses in both Discrete and Continuous Time Probability Theory Suggested Text Probability, Random Variable, and Scholastic Processes, 2nd Edition. By Popoulis, McGraw-hill.

ECE 6611 - Integrated Services over Packet Networks Credit Hours 3 semester credit hours Area of Specialization Computer Networks / Communications Course Outline Packet Networks have taken over the circuit switched networks in the amount of global data they handle. Circuit switched networks were designed to provide optimal quality of service to applications needing dedicated network resources. On the contrary, data services, that use most of the bandwidth today, present very different traffic patterns hence requiring packet-switching for better network usage. The trend now is to converge all services on to packet networks because of their lower initial and maintenance costs. The course shall be highly biased towards the Internet Protocol as the underlying transport mechanism. Broad Course Contents The course will be divided in the following main parts. The first part shall present a brief introduction to the packet networks, from physical layer up to the transport layer, specifically focusing on Internet Protocol. Both real-time and non-real-time applications and transport mechanisms shall be discussed. The second part of the course shall focus on the signaling aspects. Connections for various types of services use different protocols, examples include SIP for voice and/or video connection requests and TCP for data. The third part shall be devoted to the mechanisms that a router can use to control traffic on a packet-by-packet basis. We shall also study the mechanisms that can be used on IP flows for better traffic management, including new paradigms like Multi Protocol Label Switching (MPLS). Service type requesting protocols and traffic classification and control shall be discussed. This section shall address IETF standardized IntServ and DiffServe paradigms as well. The fourth, and the final part, shall focus on the applications, specifically, Voice Over IP and Video Over IP. We shall walk through the design of a media gateway capable of transporting voice calls to and from a circuit switched line to an Ethernet link. Applications and Transport Protocols We first briefly summarize the main requirements and characteristics of applications running in IP networks. These applications are built on top of the TCP and RTP/UDP transport protocols. A good understanding of the performance of these applications requires a detailed knowledge of the mechanisms used by the underlying transport protocols. TCP is the basis for almost all client-server applications in use today. We thus describe in details the error, flow and congestion control mechanisms used by all TCP implementations today and discuss their impact on traffic control mechanisms. Multimedia applications on the other hand often rely on the RTP/UDP protocols whose characteristics are completely different from those of TCP. Signaling in Packet Networks Signaling is used for setting up, tearing down, and monitoring network connections besides other applications like routing, and management. This section shall describe standardized / common call signaling protocols used in IP networks including H.323, SIP, Megaco and RTSP. Call setup and tear down procedures while interworking with the PSTN shall be discussed. Signaling gateway and Softswitch concepts shall also be discussed. Traffic Control and QoS A first method to control IP traffic is to control individual IP packets inside routers. In practice, a router may decide to delay, reorder or drop packets based on various criteria. In this second part, we describe all these mechanisms in details by building a QoS-enabled router step-by-step. These mechanisms include classification, policing and marking (e.g. Token Bucket, Committed Access Rate), shaping, queueing (per flow, per class), buffer acceptance (e.g. tail drop, Random Early Detection (RED)) and scheduling (e.g. WFQ, DRR, fair queueing). In addition, we also discuss two TCP specific mechanisms: Explicit Congestion Notification (ECN) and TCP rate control. A second method to control IP traffic is to control the traffic at the flow level (e.g. all packets between two communicating applications). At this level, the network can decide to accept or reject new flows based on the available resources inside the network. We discuss the utilization of the RSVP protocol to dynamically establish and release such flows. In large networks, an important issue to be considered is how the IP traffic can be distributed in an optimal way inside the network. Several solutions to this traffic engineering problem have been proposed recently. We describe the IP-based solutions such as Optimized MultipPath and the solutions based on MultiProtocol Label Switching (MPLS). Application Example The goal of this section is to present, interactively, the design of at least one example application. We plan to present the Design of a Media Gateway capable of mediating voice calls between IP and PSTN. All required components needed to establish such a service shall be discussed. Student projects shall be presented in the class during the last week of the course. Prerequisites ECE 6607 Computer Networks Suggested Text Carrier Grade Voice Over IP, by Denniel Collins.

ECE 7602 - Network and System Programming Credit Hours 3 semester credit hours Area of Specialization Computer Networks / Communications Broad Course Contents Unix Programming Environment TCP Protocol Suite Socket Programming UDP and TCP Sockets I/O Multiplexing including Non-blocking I/O Advanced Socket Options Name and Address Conversions IPv4 and IPv6 Interoperability Unix Domain Protocols Broadcasting and Multicasting Routing and Raw Sockets Data Link Access Daemon Processes Posix Threads Inter Process Communication Pipes and FIFOs Message Queues Mutexes and Locks Semaphores Doors and RPCPosix Shared Memory Prerequisites ECE 4002 C and Data Structure

ECE 7901 - Cryptography and Network Security Credit Hours 3 semester credit hours Area of Specialization Information Security / Computer Networks / Communications Course Outline The Internet, as an open forum, has created security problems of confidentiality, integrity & authentication. Network security is a set of protocols which protect us against security attacks in Internet. The most common tool for providing network security is cryptography, an old technique that has been revived and adapted to network security. This course, therefore, first introduces the principles of cryptography and then applies them to describe network security protocols Broad Course Contents Information security overview : Goals, attacks, services, mechanisms & techniques Mathematics for Symmetric Key Cryptography: Modular Arithmetic, Congruence, Groups, Rings & Finite Fields. Traditional Symmetric Key Ciphers: Substitution, Transposition, One time pad, Steganography Modern Symmetric Key Ciphers: Block cipher, modes of operation, DES, triple-DES, AES, Stream cipher & RC4 Number Theory: Prim numbers, Euler’s theorem, Primality testing, Factorization, Chinese remainder theorem, Discrete logarithm Asymmetric key cryptography: RSA, Elgamal & Elliptic curve cryptosystem, Hash functions Message Integrity & Authentication, MDC, MAC, HMAC & Digital Signature & Entity authentication Key Management: KDC, KERBEROS, Diffie-Hellman, CA, X.509 & PKI Security at Internet model layers: PGP & S/MIME (Application layer), SSL & TLS (Transport layer), IPsec (Network layer) Firewalls, IDS/IPS & Wireless Security Protocols Prerequisites ECE 6607 Computer Networks Suggested Text Cryptography & Network Security;Principles & Practices (4th Ed) by William Stallings Cryptography & network Security by B. A. Forouzan

ECE 7612 - Computer Network Security Credit Hours 3 semester credit hours Area of Specialization Computer Networks / Communications Course Outline The course objectives are to learn and understand the design; operation and management of TCP/IP based intranets and Internets providing security. The intent is to apply principles of cryptology and OS security toward secure networks. The course also covers principles of computer systems security. It will also cover various attack techniques and how to defend against them. Broad Course Contents General Introduction Network Security Overview Common Security Threats ARP/IP Address/DNS Spoofing Anonymity/anti-anonymity(tracking) Virtual private networking Network address translation and tunneling Network Layer Security Cryptography Message Confidentiality and Symmetric Encryption Message Authentication Authentication and Encryption Protocols IPSEC, AH, ESP Public-Key Cryptography Key management and use IKE/ISAKMP Network Management Security (SNMP) Transport Layer Security SSL/TLS, SET Application Layer Security Authentication Applications (Kerberos, X.509) Electronic Mail Security (PGP, S/MIME) System Security Intruders and intrusion detection Malicious Software (viruses) Firewalls and trusted systems Operating System Security Prerequisites ECE 6607: Computer Networks (Students must have a thorough understanding of networks, and the TCP/IP protocol suite, at the level of ECE 6607 Computer Networks course). Suggested Text William Stallings, Cryptography and Network Security, 3rd Edition, Prentice Hall Ed Skoudis, Counter Hack - A Step by Step Guide to Computer Attacks and Effective Defenses, First Edition 2002, Prentice Hall.

ECE 6100 - Advanced Computer Architecture Credit Hours 3 semester credit hours Area of Specialization Digital Signal Processing / Computer Architecture Course Outline The course provides an introduction to advanced principles and current practices in computer architecture. It covers topics such as instruction set design, hardware and software methods for exploiting parallelism, memory hierarchies, and input/output systems. The course also introduces multiprocessor concepts but does not provide an in-depth study of this area. Broad Course Contents Computer Organization review Instruction Set Design principles and MIPS architecture Pipelining Basic pipelining Data and control Hazards Exceptions Branch Prediction Speculation Instruction level Parallelism Dynamic Scheduling Tomasulo algorithm Multiple instruction issue using superscalar approach VLIW software based ILP Compilers and code optimization Caches Cache basics Techniques to reduce miss rate Techniques to reduce miss penalty Programming for memory performance Main memory organization Virtual Memory and paging Storage devices Beyond ILP: Future microprocessor architectures Prerequisites You must understand basic machine organization, logic design and assembly language programming. Basic operating system concepts would be helpful though not an essential prerequisite. Suggested Text Computer Architecture, Quantitative Approach, 3rd Edition, By Patterson & Hennesey

ECE 6250 - Advanced Digital Signal Processing Credit Hours 3 semester credit hours Area of Specialization Digital Signal Processing / Architecture Course Outline Linear time-invariant (LTI) systems, convolution sum, finite (FIR) and infinite (IIR) impulse responses, difference equations, discrete-time Fourier transform (DTFT) and its properties, z-transform (ZT) and its properties. Sampling of continuous-time signal and sampling rate conversion: the sampling theorem and some of its variations, reconstruction formulae, application to the discrete-time processing of continuous-time signals, sampling rate conversion in mutilate systems, Transform analysis of LTI systems: pole-zero representation for rational systems, study of various important systems including all-pass system, inverse system and minimum-phase system. Structure for discrete-time systems: signal flow graph representation, basic structures for FIR and IIR systems (direct forms, parallel, cascade, etc.) transposition theorem, effects of coefficient quantization on frequency response, round-off noise in digital filtering. Filter design techniques: filter design as a numerical approximation problem, transformation techniques for the design of IIR filters, FIR filter design by windowing. Discrete Fourier transform (DFT): definition and properties of the discrete Fourier series, definition of the DFT and its properties, application to linear convolution. Computation of the DFT: the computational problem, most commonly used Fast Fourier Transform (FFT) algorithms (radix-2, decimation-in-time, decimation infrequency, etc.), possible generalizations and specializations. Prerequisites Basic concepts in Signals and Systems Frequency response of linear systems Laplace and Fourier Transforms Suggested Text Oppenheim, Schafer, and Buck, "Discrete-Time Signal Processing," 2nd edition. Statistical Digital Signal Processing and Modeling (Hardcover) by Monson H. Hayes.

ECE 6281 - Pattern Recognition Credit Hours 3 semester credit hours Area of Specialization DSP / Architecture Course Outline Bayesian Decision Theory, - Minimum-Error-Rate Classification, - Classifiers, Discriminants, and Decision Surfaces, - The Normal Density, - Error Probabilities and Integrals, - Bayesian Belief Networks, Maximum Likelihood and Bayesian Estimation, - Maximum Likelihood Estimation, - Bayesian Estimation, - Problems of Dimensionality, - Component Analysis and Discriminants, - Expectation-Maximization (EM), - Hidden Markov Models, Nonparametric Techniques, - Density Estimation, - Parzen Windows, - kn--Nearest-Neighbor Estimation,- Fuzzy Classification, Linear Discriminant Functions, - Linear Discriminant Functions and Decision Surfaces, - Gradient Descent Procedures, - Minimizing the Perceptron Criterion Function, - Linear Programming Algorithms, - Support Vector Machines, - Multicategory Generalizations, Multilayer Neural Networks, - Feedforward Operation and Classification, - Backpropagation Algorithm, - Second-Order Methods, Stochastic Methods, - Boltzmann Networks and Graphical Models, - Evolutionary Methods, - Genetic Programming, Non parametric Methods, - Decision Trees, - CART, - Recognition with Strings, - Grammatical Methods, - Rule-Based Methods, Unsupervised Learning and Clustering, - Mixture Densities and Identifiability, - Unsupervised Bayesian Learning, - Criterion Functions for Clustering, - Hierarchical and On-line clustering, - Graph-Theoretic-Methods. Prerequisites ECE 6258 Digital Image Processing, (at least of bachelors level) Basic linear algebra. MATH 4601 Probability and Random Variables, Matlab. Suggested Text Pattern Classification, By Richard O. Duda, Peter E. Hart and David G. Stork, 2nd ed. John Wiley & Sons, New York, 2001.

ECE 6259 - Computer Vision Credit Hours 3 semester credit hours Area of Specialization Digital Signal Processing / Computer Architecture Course Outline The Computer Vision course is basically designed for the students of Image processing, Machine Vision, Robot Vision, and 3D graphics applications. In this course the geometric relations between multiple views of scenes will be highlighted and taught in detail. The objective is to enable the students to understand the general principles of parameter estimation and to be able to compute scene and camera properties from real world images using state-of-the-art algorithms. Broad Course Contents Background: Projective geometry (2D, 3D), Parameter estimation, Algorithm evaluation. Single View: Camera model, Calibration, Single View Geometry. Two Views: Epipolar Geometry, 3D reconstruction, Computing F, Computing structure, Plane and homographies. Three Views: Trifocal Tensor, Computing T. More Views: N-Linearities, Multiple view reconstruction, Bundle adjustment, auto-calibration, Dynamic SfM, Cheirality, Duality Prerequisites ECE 6258 Digital Image Processing, (at least of Undergraduate(Bachelors) level). Understanding of vectors and spaces Basic understanding of 3-D geometry Matlab Suggested Text -

ECE 6550 - Linear Systems and Controls Credit Hours 3 semester credit hours Area of Specialization Control / Modeling and Simulation (Also counted for Minor: Mathematics) Course Outline The course covers Recap of matrix algebra, Linear spaces, Simultaneous Linear Equations, Eigenvalues and Eigenvectors, Cayley-Hamilton theorem, Analysis of Continuous and Discrete Time State Equations, Frequency domain system concepts, The Relationship between State Variable and Transfer Function. Broad Course Contents Background and review: Definition and types of systems, Mathematical modeling/ representation of systems, Analysis methods in classical control theory, performance measures and their improvement, State Space description of LTI dynamic systems: methods of obtaining state space representation, Interconnection of subsystems, Concepts and techniques of linear algebra: Review of matrix algebra, Vector and vector spaces, Basic vectors and dimensionality, Orthogonal vectors and their construction, Eigen-vectors and Eigen-values, Solution of simultaneous linear equations, Characteristic Polynomial and Cayley- Hamilton Theorem, Analysis and design of continuous-time LTI systems using state space: System modes and model decomposition, BIBO and internal stability, Concepts of controllability, Observability, Stability and Detectability, Pole placement using static output feedback, Design of reduced order and full state observers. Extension of state-space concepts to LTI discrete time systems: Discrete time and sampled data systems, State space representations, Analysis and design of discrete time systems using state space techniques. Prerequisites ECE 4501 Control Engineering. Suggested Text Modern Control Theory, By William L. Brogan

MATH 6006 - Optimization Techniques Credit Hours 3 semester credit hours Area of Specialization Mathematics Broad Course Contents Topics covered in this course are: Classical Optimization Techniques with equality constraints (e.g. Lagrange Multipliers etc) for 1 variable, two variables and many variables, Linear Programming, Integer Programming, Assignment problem, Transportation problem, PERT, CPM, Misc. topics in optimization techniques. Suggested Text Taha, H. A., Operations Research: An Introduction, 7th ed., Prentice Hall, 2002. Hillier, F. S., Introduction to Mathematical Programming, John Wiley and Sons, 1998. Reklaitis, G. V., Engineering Optimization: Methods and Applications, John Wiley, 1983. Chong, E. K. P. and Zak, S. H., An Introduction to Optimization, 2nd ed., John Wiley and Sons, 2004. Fletcher, R., Practical Methods of Optimization, 2nd ed., John Wiley and Sons, 2004.

ECE 4601 - Communication Systems Credit Hours 3 semester credit hours Area of Specialization Pre-Requisite Course Outline The objective of this course is to provide an introduction to the to the basic principles in the design and analysis of communication systems and would cover theoretical as well as mathematical foundational topics for frequency domain analysis of signals and systems, analog signal transmission/reception and digital communication techniques. Broad Course Contents Introduction to Communications, Frequency Domain Analysis, - Fourier Series, - Fourier Transforms, - DFT/FFT, - Bandpass Signals, Analog Communication systems, Amplitude Modulation, - Angle Modulation, - Radio and Television Broadcasting, Random Processes, Probability and Random Variables, - Random Processes: Concepts, Noise and Communication Systems, Information Sources and Source Coding, Digital Transmission through AWGN Channels, - Optimal Receiver Design, - Probability of Error, - Symbol Synchronization, Wireless Communications . Prerequisites The pre-requisite is undergraduate level Signals and Systems Course. Suggested Text Communication Systems, By B.P Lathi

ECE 6810 - Advanced Operating Systems Credit Hours 3 semester credit hours Area of Specialization Minor: Software Course Outline This course explores the field of computer operating systems, emphasizing on basic operating systems design principles and implementation details. Our focus will be on two main aspects: First is the engineering and performance trade-offs in the design of operating systems. The idea is to learn not only what operating systems are and how they work today, but also why they are designed the way they are and how they are likely to evolve in the future. The course will cover traditional OS materials such as scheduling and synchronization, multiprogramming, memory management, file system, protection and security. However, the material will be covered at a more advanced level than a typical undergraduate operating systems course. The central case study will be Linux 2.6 Kernel, although we will also discuss Windows and other operating systems for comparative purposes. Additionally, we will touch a few advanced topics including micro-kernel OS, virtual machines, and OS support for highly concurrent online servers. The second main focus will be on the implementation aspect. We will have hands-on, rigorous programming projects based on the Linux kernel. The projects would carry significant programming work-load and cover various sub-systems of a real-world operating system. The projects will be done in teams of two or three. Broad Course Contents Introduction OS architectures Processes, threads and system calls Concurrency and Synchronization Scheduling Deadlock Memory management techniques Virtual memory systems I/O management (Device driver architectures) File systems (Design and case studies) Security, Access control and authentication Introduction to Distributed Systems Distributed file systems Virtual machine monitors Prerequisites C Language. Suggested Text -

ECE 4606 - Data Communication Networks Credit Hours 3 semester credit hours Area of Specialization Pre-Requisite Course Broad Course Contents Data Communication Networks: Introduction to basic networking elements, OSI Layers, TCP/IP suit, Data transmission(Analog and Digital), Transmission Media, Data Encoding and Transmission, Multiplexing, Spread Spectrum, Circuit switching, Packet switching, Cellular System, Cable Networks, Error Detection and Correction , Congestion Control and Flow Control Methods, Medium Access Methods, Network (packet) Routing Algorithms , Wired and Wireless LAN, Frame Relay, ATM(Asynchronous Transfer mode), Network Layer(logical addressing and Interworking), IPv4, IPv6, TCP,UDP,SCTP, SONET/SDH, DNS(Domain Name System), QoS. Prerequisites The pre-requisite is undergraduate level Signals and Systems Course. Suggested Text W. Stallings, Data and Computer Communications A. S. Tanenbaum, Computer Networks L. Peterson and B. Davie, Computer Networks William M. Hancock, Computer Communication and Networking Technologies

ECE 6350 - Applied Electromagnetics Credit Hours 3 semester credit hours Area of Specialization Communications Course Outline This course develops the foundation for advanced courses in the areas of electromagnetic wave propagation and cattering, antennas and microwave engineering. Brief course description is as follows: Review of basic electromagnetic theory, solutions to the wave equation. Plane wave propagation and polarization. Reflection and transmission of waves. Vector Potentials and radiation equations, electromagnetic field theorems. Waveguides and resonators. Broad Course Contents Review of basic electromagnetic theory Wave equation in different coordinate systems TEM wave propagation Polarization (linear, circular, elliptical) and its representation in the complex plane. Reflection and transmission of waves (Fresnel Coefficients) Reflection and transmission from multiple interfaces Vector potentials and construction of solutions Electromagnetic fields theorems Dielectric waveguides and cavities Introduction to electromagnetic scattering Prerequisites Vector calculus, undergraduate course in electromagnetic field theory. Suggested Text C. A. Balanis, "Advanced Engineering Electromagnetics", John Wiley & Sons 1998. R. F. Harrington, "Time Harmonic Electromagnetic Fields", McGraw Hill 1961 & 2001.

ECE 6901 Computer System Security Credit Hours 3 semester credit hours Area of Specialization Information Security Course Outline The course focuses on the security of computer systems at various layers of operating system & application software. The course includes the security aspects of contemporary advanced operating systems and database systems. Broad Course Contents programs, non-malicious program errors, malicious code, targeted code, covert channels, Controls against program threats. Protection in general purpose operating systems: Object & methods protection, memory & address protection, Access control to objects, file protection mechanism & user authentication. Trusted Operating Systems: Meaning, security policies, models of security, designing TOS, Assurance in TOS, Database & Data Mining Security: concepts, requirements, reliability, integrity & sensitivity of data, inference, multilevel security & data mining security Prerequisites Understanding of computer architecture & Operating System. Suggested Text Introduction to Computer Security by M. Bishop 2. Security in Computing (4th Ed) by C.P.P fleeger & S.L.P fleezer.

ECE 6804 Real Time Embedded Systems Credit Hours 3 semester credit hours Area of Specialization Software - Minor Course Outline Real-time applications / systems are characterized by the strict requirements imposed on timely and/or periodic execution of tasks and the fast response to certain asynchronous events. Design of such systems require special skills/techniques which are seldom known/practiced by people developing non real-time applications on PCs and workstations such as word-processors, network browsers, accounting and database packages, etc. Broad Course Contents Scope of real-time systems, Hard versus Soft real-time systems, Reference model of real-time systems, Classical fore-ground/ back-ground programming technique, Contemporary approach using RTOS, Real-time scheduling schemes, their merits and demerits, Multiprocessor scheduling and synchronization, Real-time communication applications, Survey of commercially available RTOSes. Prerequisites C Language Suggested Text Real-time Systems, Jane W. S.LIU

ECE 6136 Parallel and Distributed Computing Credit Hours 3 semester credit hours Area of Specialization DSP / Architecture Course Outline Parallel Computing:Motivation & Scope Platforms: architecture, pipeline, superscalar, VLIW., Interconnection networks, Cache coherence & I/O disk arrays, , Communication models, Shared memory, Message passing & PRAM platforms, SIMD/ MIMD/ SPMD & Cluster systems. Communication operations on various topologies, ring, mesh, tree, hypercube etc & Performance evaluation. Parallel algorithms design: Models, Decomposition, Interaction & Mapping. Parallel programming paradigms: Message Passing & Share Memory platforms, MPI, Pthread & OpenMP. Parallel Algorithm applications: Sorting/ Searching, Matrix Operation, Graph algorithms, Image processing & Fast Fourier Transform Distributed Systems: Architectural styles, middleware, process threads, code migration, layered comm. protocol, remote procedure calls, message/ stream oriented comm, Flat & Structured Naming, Clock synchronization, Mutual exclusion, Election algorithm, Consistency & Replication models & management, Security issues, Distributed Web based system. Prerequisites Computer Architecture, Data structures & algorithms, Programming in C/C++ Suggested Text Introduction to Parallel Computing (2nd Ed) by Ananth Grama, Anshul Gupta, George Karypis, Vipin Kumar Distributed Systems: Principles & Paradigms (2nd Ed) by Andrew S Tanenbaum & Maarten Van Steen Parallel Programming: Techniques & applications using networked workstations & parallel computers (2nd Ed) by Barry Wilkinson & Michael Allen

ECE 6902 Information Security Strategies & Policies Credit Hours 3 semester credit hours Area of Specialization Information Security Course Outline Information Security vulnerabilities & risks Risk assessment Analysis, control & management Security techniques Security plan/ policy design Security standards compliance Security Audit Incident handling Disaster recovery & continuity planning Legal, Privacy Cost & technology constraints Information security solution implementation issues Prerequisites Understanding of computer & network security Suggested Text Principles of Information Security (2nd Ed) by M.E.Whitman & H.J.Mattord NIST(USA) Handbook & SP 800-xx publications International ISMS Standard ISO/IEC 27001