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COURSE DESCRIPTIONS
ELECTRICAL ENGINEERING
(EE)

5103 Engineering Programming
(3-0) 3 hours credit. Prerequisite: Graduate standing or consent of instructor.
Object Oriented programming for engineering design problems; C++ and Java programming; software development for mathematical modeling and simulation of hardware systems; individual class projects. (Formerly EE 5453 Topic 4: Engineering Programming Languages. Credit cannot be earned for both EE 5103 and EE 5453 Engineering Programming Languages.)

5113 VLSI System Design
(3-0) 3 hours credit. Prerequisite: Graduate standing or consent of instructor.
VLSI Circuit Design, CMOS technology and device modeling, structured digital circuits, VLSI systems; computer-aided design tools, placement, routing, extraction, design rule checking, graphic editors, simulation, verification, minimization, silicon compilation, test pattern generation; theory for design automation; chip design. (Formerly EE 5323 Topic 1: VLSI I. Credit cannot be earned for both EE 5113 and EE 5323 VLSI I.)

5123 Computer Architecture
(3-0) 3 hours credit. Prerequisite: Graduate standing or consent of instructor.
Description of digital computer systems, arithmetic algorithms, central processor design, memory hierarchies and virtual memory, control unit and microprogramming, input and output, coprocessors, and multiprocessing.

5143 Linear Systems and Control
(3-0) 3 hours credit. Prerequisite: Graduate standing or consent of instructor.
Advanced methods of analysis and synthesis of linear systems, continuous and discrete-time systems, analytical approach to linear control theory.

5153 Random Signals and Noise
(3-0) 3 hours credit. Prerequisite: Graduate standing or consent of instructor.
Study of probability theory, random processes, mean and autocorrelation, stationarity and ergodicity, Gaussian and Markov processes, power spectral density, noise, and linear systems.

5163 Digital Signal Processing
(3-0) 3 hours credit. Prerequisite: Graduate standing or consent of instructor.
Study of discrete-time signals and systems, including Z-transforms, fast Fourier transforms, and digital filter theory. Filter design and effects of finite register length, and applications to one-dimensional signals.

5183 Foundations of Communication Theory
(3-0) 3 hours credit. Prerequisite: Graduate standing or consent of instructor, completion of EE 5153 recommended.
Basis functions, orthogonalization of signals, vector representation of signals, optimal detection in noise, matched filters, pulse shaping, intersymbol interference, maximum likelihood detection, channel cutoff rates, error probabilities, bandwidth, and power-limited signaling.

5193 FPGA and HDL
(3-0) 3 hours credit. Prerequisite: Graduate standing or consent of instructor.
Fundamental digital systems principles. HDL modeling concepts and styles: structural, RTL, and behavioral; modeling for synthesis and verification; modeling combinatorial and sequential logic circuits; modeling finite state machines; testbench developments; performance estimation and improvement. (Formerly EE 5223 Topic 2: FPGA and HDL. Credit cannot be earned for both EE 5193 and EE 5223 FPGA and HDL.)

5223 Topics in Digital Design
(3-0) 3 hours credit. Prerequisite: EE 5123 or consent of instructor.
Topics may include the following:
Topic 1: Graph Theory and Networking. Introduction to graphs and digraphs, applications of graphs, Eulerian and Hamiltonian graphs, connectivity, trees, planar graphs, decomposition problems, graph models for electrical and communications networks and computer architectures, communications network application examples, analysis and design.
Topic 2: Microcomputer-Based Systems. 8- and 16-bit microprocessors, bus timing analysis, interfacing principles, LSI and VLSI chip interfacing, use of software development tools such as assemblers, compilers, and simulators, and hardware development tools including logic analyzer.
Topic 3: PCI System Design. Understanding PCI specifications including protocol, electrical, mechanical, and timing. Study the protocol for high-speed, high-bandwidth data throughput. Designing a PCI-based system design and implementing in FPGA.
May be repeated for credit as topics vary.

5243 Topics in Systems and Control
(3-0) 3 hours credit. Prerequisite: EE 5143.
Topics may include the following:
Topic 1: Adaptive Systems and Control. Current methods in adaptive systems and control including stability, convergence, robustness, system identification, recursive parameter estimation, and design of parameterized controllers.
Topic 2: Optimal Control. Optimal and suboptimal techniques for controller design using the principle of optimality, min-max principles, and induced norm minimization.
Topic 3: Nonlinear Control Systems. Nonlinear systems modeling, existence and uniqueness of solutions, phase plane analysis, Lyapunov stability, and advanced nonlinear techniques.
Topic 4: Computational Intelligence. A study of neuron models, basic neural nets and parallel distributed processing, and sound mathematical intuition and applications about neural network algorithms and architectures. Includes theory of fuzzy sets, foundations of fuzzy logic, and genetic algorithms. Course emphasizes engineering applications; control, pattern recognition, damage assessment, and decisions.
Topic 5: System of Systems Science and Engineering: Introduction to Systems Engineering, Large-Scale Complex Systems, System of Systems (SoS). Architecture and Modeling of System of Systems Engineering, Distributed and Cooperative Control of SoS, Discrete-event simulation systems (DEVS) principles and applications, Autonomous Control Systems via Computational Intelligence Tools, Principle component analysis and data mining techniques for SoS, V-Lab® a Virtual Laboratory and Matlab software for intelligent SoS, Case studies: Sensor Networks, System of Robots, Future Combat Systems, Wireless Networks, System of Energy.
May be repeated for credit as topics vary.

5263 Topics in Digital Signal Processing and Digital Filtering
(3-0) 3 hours credit. Prerequisite: EE 5153 or EE 5163, or consent of instructor.
Topics may include the following:
Topic 1: Nonlinear Filters. Order statistic filters, morphological filters, stack/Boolean filters, and other related topics.
Topic 2: Detection and Estimation Theory. Minimum variance unbiased estimation, Cramer-Rao low bound, maximum likelihood estimation, Bayesian estimation, Neyman-Pearson detector, Bayesian detector, matched filter, Generalized Likelihood Ratio Test.
Topic 3: Orthogonal Transforms, Wavelets and Fractals with Applications. Fast orthogonal transform (Cosine, Sine, Hartley, Haar, Slant, Short-time Fourier and Gabor and Walsh), subband decomposition, Fractals, Fractal Dimension, Iterated Function Systems, de-noising and others.
Topic 4: Wavelet Transforms and Applications. Subband decompositions; Wavelets and wavelet packets: construction, properties, decomposition and reconstruction, multiresolution analyses; image and video international compression standards, signal and image de-nosing; steganography, and watermarking.
Topic 5: Signal Processing for Wireless Systems. Usage of transforms for the analysis and design of wireless systems. FIR and IIR filter design and adaptive signal processing for wireless systems.
May be repeated for credit as topics vary.

5283 Topics in Communication Systems
(3-0) 3 hours credit. Prerequisite: Graduate standing or consent of instructor.
Topics may include the following:
Topic 1: Spread Spectrum Systems and GPS. A hands-on study of modern wireless communications and ranging systems based on spreading technologies. Theory and implementation of data and code modulations; transmitters and receivers; multiple access protocols; signal acquisition and tracking. CDMA standards; GPS; FCC E911.
Topic 2: Simulation of Communication Transceivers. A hands-on study of communication systems. FIR and IIR filter design and implementation for communications. Algorithms, implementation and simulation of modulations, AGC, pulse shaping, matched filters, carrier synchronization, timing recovery, equalization, and coding. Simulation of complete software radios.
Topic 3: Introduction to Microwave and Antennas. Electromagnetic wave propagation and principles of antenna design. Microwave and antennas for microwave communications.
May be repeated for credit as topics vary.

5293 Topics in Microelectronics 
(3-0) 3 hours credit. Prerequisite: EE 4313.
Topics may include the following:
Topic 1: Analog Integrated Circuit Design. Introduction to MOS devices and analog circuit modeling. Analog circuits: active resistors, current sources, current mirrors, current amplifiers, inverting amplifier, differential amplifier, cascade amplifier, MOS switches, and the output amplifier. Complex circuits: comparators, operational amplifiers, and other commonly used building blocks for mixed signal systems. Use of CAD tools to layout and simulate analog circuits.
Topic 2: Mixed Signal Circuits and Systems. Introduction to the circuits of systems in which analog and mixed signal integrated circuit design are employed. The topics are A/D and D/A converters, including Nyquist-rate and over-sampled S-D A/D converters, switched capacitor filters, multipliers, oscillators, the PLL, and circuit design issues, testing, digital calibration and correction.
May be repeated for credit as topics vary.

5323 Topics in VLSI Design
(3-0) 3 hours credit. Prerequisite: EE 5113 or consent of instructor.
Topic 1: Advanced VLSI Design. Microelectronic systems architecture; VLSI circuit testing methods; integration of heterogeneous computer-aided design tools; wafer scale integration; advanced high-speed circuit design and integration. Engineering design of large-scale integrated circuits, systems, and applications; study of advanced design techniques, architectures, and CAD methodologies.
Topic 2: Low Power VLSI Design. Hierarchy of limits of power, source of power consumption, voltage scaling approaches; circuit, logic, architecture and system level power optimization; power estimation; advanced techniques for power optimization; software design for low power.
Topic 3: VLSI Testing. Fault Models, Test Pattern Generation, hardware and software reliability analysis of digital systems, design for testability, self-diagnosis, fault-tolerant logic design, Built-in Self Test (BIST) – Techniques and architectures, System-on-a-Chip (SOC) Testing.
May be repeated for credit as topics vary.

5343 Intelligent Control and Robotics
(3-0) 3 hours credit. Prerequisite: EE 5143.
Study of artificial neural networks control, knowledge-based control, and fuzzy-logic control. Analytical techniques and fundamental principles of robotics; dynamics of robot arms, motion control, robot sensing, and robot intelligence.

5353 Topics in Multimedia Signal Processing
(3-0) 3 hours credit. Prerequisite: EE 5153 or EE 5163, or consent of instructor.
Topics may include the following:
Topic 1: Multimedia Signal Processing and Secure Communications. Signal representation systems and their based coders; the basic concepts of digital steganography and cryptography; multimedia data hiding and detection techniques; secure information transmission over mobile channels; the various object recognition techniques; performance and effectiveness assessment.
Topic 2: Digital Image Processing. Study of binary image processing; histogram and point operations; algebraic and geometric image operations; 2-D digital Fourier transforms; convolution; linear and nonlinear filtering; morphological filters; image enhancement; linear image restoration (deconvolution); digital image coding and compression; and digital image analysis. (Formerly EE 5363. Credit cannot be earned for both EE 5353 Topic 2 and EE 5363.)
Topic 3: Computer Vision and Application. Image perception, edge detection in the visual system, future vectors, image enhancement, shape from shading, image segmentation by textural perception in humans, chain codes,
B-splines, classification (SVM and others).
Topic 4: Biomedical Image Processing. Digital image fundamentals, digital image enhancement in the spatial domain, digital image enhancement in the frequency domain, optimal image filtration in the frequency domain, image restoration and order-statistics filters, morphological image processing, processing of microarray images, segmentation and gene-expression calculation, processing of FISH stacked images, automated analysis of gene copy numbers by fluorescence in situ hybridization, fundamental methods of image reconstruction by projections and their applications in computerized tomography. (Same as BME 6703. Credit cannot be earned for both EE 5353 Topic 4 and BME 6703.)
Topic 5: Development of Multimedia Applications for Wireless Devices. Programming on wireless systems. Multimedia (image, audio and video) formats. Multimedia Processing. Development of sample applications.
May be repeated for credit as topics vary.

5373 Wireless Communication
(3-0) 3 hours credit. Prerequisite: Graduate standing or consent of instructor.
This course offers in-depth study of wireless communication systems at the physical layer, propagation modeling for wireless systems, modulation schemes used for wireless channels, diversity techniques and multiple antenna systems, and multiple access schemes used in wireless systems.

5393 Solid State Microfabrication Technology
(3-0) 3 hours credit. Prerequisites: EE 3213 and EE 4313.
In this course the fundamentals of modeling and microfabrication schemes for semiconductor active devices and MEMS are introduced. Techniques for both silicon and compound semiconductor processing are studied. Topics include: wafer growth, oxidation, diffusion, ion implantation, lithography, etch and deposition. The course will include software skills on the layout of semiconductor devices and hands-on, clean-room exposure where students will fabricate simple representative microdevices. (Same as ME 5873. Credit cannot be earned for both EE 5393 and ME 5873.)

5423 Topics in Computer Architecture
(3-0) 3 hours credit. Prerequisite: EE 5123 or consent of instructor.
Topic 1: Parallel and Distributed Computing. Multiprocessor and multicomputer systems, shared-memory and distributed memory systems, exploitation of parallelism, data partitioning and task scheduling, multiprocessor system interconnects, message passing and data routing, parallel programming.
Topic 2: RISC Processor Design, RISC Concept. RISC versus CISC, RISC advantages and disadvantages, various processor survey and applications, study of software development tools: assemblers compilers, simulators, RISC implementations.
Topic 3: Superscalar Microprocessor Architecture. Definition of superscalar, superpipelined, and VLIW processors; available parallelism in programs; branch prediction techniques; memory systems for superscalar processors; trace caches; memory disambiguation and load/store recording; performance evaluation techniques; multimedia extensions in superscalar processors.
Topic 4: Fault Tolerance and Reliable System Design. Reliability and availability techniques, maintainability and testing techniques, evaluation criteria, fault-tolerant computing, fault-tolerant multiprocessors, design methodology for high reliability systems.
Topic 5: Computer Arithmetic. Fundamental principles of algorithms for performing arithmetic operations in digital computers. Number systems, fast implementations of arithmetic operations and elementary functions, design of arithmetic units using CAD tools.
Topic 6: Advanced Computer Architecture. Superscalar and vector processors, advanced pipelining techniques, instruction-level parallelism and dynamic scheduling techniques, advanced memory hierarchy design.
May be repeated for credit as topics vary.

5443 Discrete-Time Control Theory and Design
(3-0) 3 hours credit. Prerequisite: EE 5143.
Control theory relevant to deterministic and stochastic analysis and design of computer-controlled systems using both state-space and input-output models.

5453 Topics in Software Engineering
(3-0) 3 hours credit. Prerequisite: EE 5123 or consent of instructor.
Topic 1: Large Domain-Specific Software Architectures. Software engineering approaches; scenario-based design processes to analyze large problem domains; domain modeling and representations; creation of component-based architecture providing an object-oriented representation of system requirements; development of large software class project.
Topic 2: Embedded Software Systems Design. Dataflow models, uniprocessor and multiprocessor scheduling, hardware/software co-design, hierarchical finite state machines, synchronous languages, reactive systems, heterogeneous systems.
Topic 3: Embedded Software Testing and Quality Assurance. Systematic testing of embedded software systems; unit (module), integration and system level testing; software verification; hardware/software cotesting; code inspections; use of metrics; quality assurance; measurement and prediction of software reliability; software maintenance; software reuse and reverse engineering.
May be repeated for credit as topics vary.

5463 Artificial Neural Networks
(3-0) 3 hours credit. Prerequisite: EE 5163 or consent of instructor.
Study of parallel optimization algorithms using Hopfield networks, perceptrons, backpropagation competitive systems, and other unsupervised techniques.

5473 Fiber Optic Communication
(3-0) 3 hours credit. Prerequisite: Graduate standing or consent of instructor.
In-depth study of fiber optic principles, performance of optical receivers, devices, digital and analog fiber optic transmission systems, wavelength division multiplexing systems, optical amplifiers, and fiber optic measurements.

5493 Topics in MEMS
(3-0) 3 hours credit. Prerequisite: EE 3213.
Topic 1: Microwave Integrated Circuits. This course will focus on the analysis and fabrication of MEMS structures operating in the microwave regime. The course will include the actual microfabrication of transmission lines, resonators, couplers and antennas.
Topic 2: Advanced Topics in Sensors and Actuators. The purpose of this course is to explore specific microfabrication approaches for a variety of sensors, such as magnetic, acoustic, mechanical, radiation, thermal, chemical and biological. Different actuation schemes are also covered (electrostatic, piezoelectric, thermal, magnetic and shape-memory-alloys). (Credit cannot be earned for both EE 5493 Topic 2 and ME 5893.)
May be repeated for credit as topics vary.

5583 Topics in Digital Communication
(3-0) 3 hours credit. Prerequisite: Graduate standing or consent of instructor.
Topics may include the following:
Topic 1: Digital Information Theory. Entropy and mutual information; Huffman coding; source and channel coding theorems; channel capacity; block coding error bounds; random coding bounds; cutoff rate; multiuser information theory; random access channels and protocols; multiaccess coding methods.
Topic 2: Digital Modulation Schemes. In-depth study of digital modulation; information sources and source coding, quantization, representation of digitally modulated signals; synchronization and timing issues in digital communications.
Topic 3: Computer Communication Networks. Fundamentals of communication networks, data communication and transmission systems, peer-to-peer protocols, local/wide area networks, multiple access methods, and service integration.
Topic 4: Coding and Error Correction. Algebraic Coding Theory; groups and fields, linear codes, Hamming distance, cyclic codes, minimum distance bounds, BACH codes and algebraic decoding, Reed-Solomon codes, Reed-Mueller codes and maximum likelihood decoding, suboptimal decoding, and applications of coding.
May be repeated for credit as topics vary.

6323 Advanced Topics in Computers
(3-0) 3 hours credit. Prerequisites: Consent of Graduate Advisor of Record and Dissertation Director.
Current topics in the computer area. May be repeated for credit as topics vary.

6343 Advanced Topics in Systems and Control
(3-0) 3 hours credit. Prerequisites: Consent of Graduate Advisor of Record and Dissertation Director.
Current topics in the systems and control area. May be repeated for credit as topics vary.

6363 Advanced Topics in Signal Processing
(3-0) 3 hours credit. Prerequisites: Consent of Graduate Advisor of Record and Dissertation Director.
Current topics in the signal processing area. May be repeated for credit as topics vary.

6383 Advanced Topics in Communications
(3-0) 3 hours credit. Prerequisites: Consent of Graduate Advisor of Record and Dissertation Director.
Current topics in the communications area. May be repeated for credit as topics vary.

6951-3 Independent Study
1 to 3 hours credit. Prerequisites: Graduate standing and permission in writing (form available) of the instructor and the Graduate Advisor of Record.
Independent reading, research, discussion, and/or writing under the direction of a faculty member. For students needing specialized work not normally or not often available as part of the regular course offerings. May be repeated for credit, but not more than 6 hours, regardless of discipline, will apply to the degree.

6963 Graduate Project
3 hours credit. Prerequisites: Consent of the Graduate Advisor of Record and Projector Advisor.
A semester-long project with approval of a supervising faculty. Credit will be awarded upon successful submission of a written report and oral presentation to a project committee consisting of at least two faculty members. The grade report for the course is either “CR” or “NC”.

6971-3 Special Problems
(1-0, 2-0, 3-0) 1 to 3 hours credit. Prerequisite: Consent of instructor.
An organized course offering the opportunity for specialized study not normally or not often available as part of the regular course offerings. Special Problems courses may be repeated for credit when topics vary, but not more than 6 hours, regardless of discipline, may be applied to the degree.

6983 Master’s Thesis
3 hours credit. Prerequisites: Consent of the Graduate Advisor of Record and thesis director.
Thesis research and preparation. May be repeated for credit, but not more than 6 hours will apply to the Master’s degree. Credit will be awarded upon completion of the thesis. Enrollment is required each term in which the thesis is in progress.

6991 Research Seminar
1 hour credit.
Presentation and analysis of literature in a selected area of research. The grade report for the course is either “CR” or “NC”.

7423 VLSI for Signal Processing
(3-0) 3 hours credit. Prerequisite: EE 5123.
VLSI applications in signal processing and telecommunications. General purpose DSP architecture. ASIC architectures: systolic arrays, data-flow multiprocessing, wavefront arrays. Case histories: modems, echo cancellers, digital PLL, High-speed arithmetic and algorithms.

7443 Nonlinear Control Systems
(3-0) 3 hours credit. Prerequisite: EE 5143.
Principles of nonlinear systems modeling and analysis: Lyapunov stability, input-output stability, and homogeneous theory. Control of nonlinear systems: integrator backstepping, feedback domination, Lyapunov-based design, small control technique, output feedback design, and applications to physical systems.

7463 Pattern Analysis and Machine Vision
(3-0) 3 hours credit. Prerequisite: EE 5163.
Image formations, early vision, binary machine vision, 2-D representation, 3-D representation, image segmentation, statistical pattern recognition, and knowledge-based vision.

7483 Communication Networks
(3-0) 3 hours credit. Prerequisite: EE 5183.
Networking, circuit and packet switching, layered architectures, protocols, and network performance. Local and wide-area networks; Internet; ISDN principals. Broadband networks; SONET, SDH, ATM and BISDN. Applications to data/voice/video/multimedia traffic.

7953 Doctoral Research
3 hours credit. Prerequisites: Ph.D. student standing and consent of instructor and the Graduate Advisor of Record.
May be repeated for a maximum credit of 18 hours.

7993-6 Doctoral Dissertation
3 to 6 hours credit. Prerequisite: Consent of the Doctoral Advisor of Record and Dissertation Advisor.
May be repeated for a maximum credit of 18 hours.

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