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Electrical Engineering (EE) Course Descriptions

EE 5103  Engineering Programming
(3-0) 3 hours credit. Prerequisite: Graduate standing or consent of instructor.
Object oriented programming for engineering design problems using C++; software development for mathematical modeling and simulation of hardware systems; extraction and reporting (e.g., text processing) using scripting languages such as Perl; and individual class projects.

EE 5113  VLSI System Design
(3-1) 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, and chip design. (Formerly EE 5323 Topic 1: VLSI I. Credit cannot be earned for both EE 5113 and EE 5323 VLSI I.)

EE 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.

EE 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.

EE 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.

EE 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.

EE 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.

EE 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.)

EE 5203  Multimedia Security Processing
(3-0) 3 hours credit. Prerequisite: EE 5163 or consent of instructor.
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. (Formerly EE 5353 Topic 1: Multimedia Signal Processing and Secure Communications. Credit cannot be earned for both EE 5203 and EE 5353 Multimedia Signal Processing and Secure Communications.)

EE 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.

EE 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.
Topic 6: Advanced Topics of Embedded Control Systems. Study control techniques for embedded systems. Emphasis on hybrid system configuration, data acquisition, sensing and fundamentals for motion control system. Control schemes include NI DAQ based control and FPGA based control.
Topic 7: Advanced Power Electronics. DC-DC Converter dynamics and control, soft-switching operation, resonant power conversion, magnetics design, power factor correction, space vector PWM for inverters, matrix converter, other advanced converter topologies.
May be repeated for credit as topics vary.

EE 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, denoising 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 denoising; 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.

EE 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 Communications and GPS. Spread Spectrum (SS) Signals and Systems, Theory of Pseudorandom Sequences, Synchronization (Acquisition, Tracking), CDMA and Global Positioning Systems (GPS, A-GPS, Galileo), Simulations of SS Systems.
Topic 2: Simulation of Communication Systems. Simulation and implementation of representative communication systems, Automatic Gain Control (AGC), modulation/demodulation, pulse shaping and matched filters, carrier and time recovery, equalizers, fast correlators. Practical filter design for communication systems.
Topic 3: Wireless Communications and Networks. Communication systems, modulation techniques, Spread Spectrum, multiple access techniques, coding, error detection and correction, cellular systems, satellite systems, mobile communications, antennas, networks, TCP/IP suite, network protocols, Mobile IP, Wireless LANs, IEEE 802 standards.
Topic 4: Computer Network Security. Data communications, transmission systems, peer-to-peer protocols, local area networks, wide area networks, wireless networks, encryption techniques, symmetric ciphers, public key cryptography, Hash Functions, authentication, email security, IP security, Web security, wireless network security, firewalls.
Topic 5: 4G Wireless Communications. Concepts, theory, and modeling of 4G cellular systems in Matlab from the perspective of 3GPP Long Term Evolution (LTE). Coverage includes multi-carrier modulation, OFDM, fading, multiple antenna systems, diversity, MIMO spatial multiplexing and space time coding, adaptive modulation and coding, H-ARQ and system ergodic and outage capacity.
May be repeated for credit as topics vary.

EE 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 oversampling 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.

EE 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. Digital system design verification; logic and fault simulation; testbench guidelines; functional coverage; VLSI manufacturing test; fault modeling; testability measures; Design for Testability (DFT); and Automatic Test Pattern Generation (ATPG).
Topic 4: VLSI Performance Analysis and Optimization. Delay models, delay calculation, signal integrity effects, timing analysis, performance variability, performance optimization, and delay test.
May be repeated for credit as topics vary.

EE 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.

EE 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: 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 1: Digital Image Processing and EE 5363.)
Topic 2: 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 3: Biomedical Image Processing. This course will examine the fundamental and mathematical aspects of imaging; new algorithms and mathematical tools for the advanced processing of medical and biological images, which include fundamental methods of image reconstruction from their projections, multi-modal imaging, image analysis and visualization, image enhancement, image segmentation and gene-expression calculation, image parameter estimation and measurements, target location, texture synthesis and analysis, morphological image processing, processing of microarray images, processing of FISH stacked images, automated analysis of gene copy numbers by fluorescence in situ hybridization, image acquisition and processing in major imaging techniques, including magnetic resonance, 2-D and 3-D computed tomography, positron emission tomography, and others.
Topic 4: 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.

EE 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.

EE 5403  Advanced Dielectric and Optoelectronic Engineering Laboratory 
(2-4) 3 hours credit. Prerequisite: Graduate standing or consent of instructor.
Topic 1: Principles of Dielectric Devices. Evaluation of capacitance devices, impedance frequency and temperature spectrum analysis, characterization of tunable dielectric microwave materials, characterization of piezoelectric devices.
Topic 2: Principles of Optical Components and Systems. Lasers, photo-detectors, phase locked interferometer, electro-optical and nonlinear optic devices, optical image processing, Fourier optics, holographic recording, and photorefractive storage.
May be repeated for credit as topics vary.

EE 5413  Principles of Microfabrication
(1-6) 3 hours credit. Prerequisite: EE 3323.
Photolithography, thin film deposition, doping, wet patterning, plasma etching, thin film characterization. Students will fabricate simple microstructures such as coplanar waveguides, micro-fluidic devices and nano-powder silica films. (Same as ME 5803. Credit cannot be earned for both EE 5413 and ME 5803.)

EE 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.

EE 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.

EE 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; and development of large software class project.
Topic 2: Embedded Software Systems Design. Dataflow models, uniprocessor and multiprocessor scheduling, hardware/software codesign, hierarchical finite state machines, synchronous languages, reactive systems, and 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.
Topic 4: Advanced Engineering Programming. Programming in the cloud, advanced engineering design problems and techniques using C++ and Java, advanced data structures and complexity analysis of algorithms, dynamic programming using Perl and Python, and large-scale and real-world group and individual projects.
May be repeated for credit as topics vary.

EE 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.

EE 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.

EE 5503  Introduction to Micro and Nanotechnology
(2-3) 3 hours credit. Prerequisite: Graduate standing or completion of or concurrent enrollment in EE 3323.
Survey of micro-fabrication techniques, scaling laws, mechanical, optical and thermal transducers, micro-fluidic applications, nanostructures. (Same as ME 5883. Credit cannot be earned for both EE 5503 and ME 5883.)

EE 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.

EE 5593  Topics in Advanced Sensor Devices
(3-0) 3 hours credit. Prerequisite: Graduate standing or consent of instructor.
Fundamentals of materials parameters to design nano-micro level pyroelectric, piezoelectric, ferroelectric and various electronic sensors and actuators. May be repeated for credit as topics vary.

EE 5693  Dielectric and Optoelectronic Devices
(3-0) 3 hours credit. Prerequisite: Graduate standing or consent of instructor.
Introduction to functional dielectric and optoelectronic materials and devices. Dielectric polarization, relaxation, loss and breakdown properties. Mechanisms of piezoelectric, pyroelectric, and electro-optic properties of solid state materials.

EE 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.

EE 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.

EE 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.

EE 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.

EE 6493  Advanced Topics in Electronic Materials and Devices
(2-3) 3 hours credit. Prerequisites: EE 5693 and EE 5503 or EE 5593 or consent of instructor.
Topics to be selected from advanced sensors, actuators, engineered materials, device physics, microwave applications of MEMS structures, optoelectronics and photonics, microelectronic devices and nanotechnology. May be repeated for credit as topics vary.

EE 6941-3  Graduate Project
1 to 3 hours credit. Prerequisites: Consent of the Graduate Advisor of Record and Project 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. May be repeated for credit, but not more than 3 hours will apply to the Master’s degree. Enrollment is required each term in which the project is in progress. (Formerly EE 6963.)

EE 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.

EE 6961  Comprehensive Examination
1 hour credit. Prerequisite: Consent of the Graduate Advisor of Record.
Independent study course for the purpose of taking the Comprehensive Examination. May be repeated for credit as many times as approved by the Graduate Studies Committee. Enrollment is required each term in which the Comprehensive Examination is taken if no other courses are being taken that term. The grade report for the course is either “CR” (satisfactory performance on the Comprehensive Examination) or “NC” (unsatisfactory performance on the Comprehensive Examination).

EE 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.

EE 6981-3  Master’s Thesis
1 to 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.

EE 6991  Research Seminar
(1-0) 1 hour credit.
Organized research lectures and seminar presentations. The grade report for this course is either “CR” (satisfactory participation in the seminar) or “NC” (unsatisfactory participation in the seminar). This course may include a written component. May be repeated for credit, but not more than 1 hour will apply to the Master’s degree, regardless of discipline.

EE 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.

EE 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.

EE 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.

EE 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.

EE 7951-3  Doctoral Research
1 to 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.

EE 7991-3  Doctoral Dissertation
1 to 3 hours credit. Prerequisites: Consent of the Doctoral Advisor of Record and Dissertation Advisor.
May be repeated for a maximum credit of 18 hours.

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