Electrical & Comp Engineering (ELC)

ELC 5302  Engineering Analysis  (3)  
Cross-listed as EGR 5302, ME 5302  
Pre-requisite(s): Graduate standing in Engineering  

Selected topics in applied engineering mathematics. Topics include advanced linear algebra, signal theory, and optimization methods.

ELC 5311  Advanced Logic Design  (3)  
Pre-requisite(s): Graduate standing in Engineering  

Computer-automated design of digital circuits. Functional specification; structural and behavioral modeling using hardware description languages; simulation for design verification and timing analysis; circuit synthesis for FPGA implementation; testing and fault diagnosis.

ELC 5313  Advanced Computer Architecture  (3)  
Pre-requisite(s): ELC 4438 or consent of instructor  

Advanced topics in computer architecture, including instruction set design, instruction pipelines, super scaler and very-long instruction word processors, cache and virtual memory systems, multiprocessor systems, large data storage systems and computer networks.

ELC 5316  Real-Time Systems Design  (3)  
Pre-requisite(s): ELC 4438 or consent of instructor  

Hardware and software characteristics of real-time concurrent and distributed reactive control systems; design methodologies; performance analysis; case studies and development projects.

ELC 5336  Advanced Engineering Electromagnetics  (3)  
Pre-requisite(s): ELC 3337 or consent of instructor  

An in-depth study of electromagnetic fields and waves and their applications in modern wireless communication and sensor systems. Topics include Maxwell's equation for complex media, scalar and vector potentials, non-ideal transmission lines, cylindrical waveguides, general properties of guided waves, and antennas.

ELC 5337  Principles of Microwave Sensing and Measurement  (3)  

Fundamentals of microwave sensor design and applications. Emphasis on understanding the basic principles, fundamental electrical and magnetic properties of materials, and the sensor configurations of RF/microwave instruments used in industrial and biomedical application.

ELC 5338  High Frequency Electronics Design  (3)  

Design and analysis of solid-state electronic circuits at RF and microwave frequencies. Emphasis on operational characteristics and design procedures for two- and three-terminal semiconductor devices and the associated passive components and circuit fabrication techniques used for generating, amplifying, and processing signals in this frequency range.

ELC 5339  High Frequency Electronics II  (3)  
Pre-requisite(s): ELC 5338 or consent of instructor  

The design of linear amplifiers and oscillators at microwave frequencies, including an emphasis on design procedures for optimum gain, stability, and noise performance of amplifiers and the negative resistance method for oscillators.

ELC 5340  Radar Engineering  (3)  
Pre-requisite(s): ELC 5336  

Electromagnetics of radar, signal processing of radar, radar imaging, Doppler processing, and radar antenna arrays. Analysis and design principles, simulation, and measurement.

ELC 5351  Multidimensional Signal Analysis  (3)  
Cross-listed as BME 5351  
Pre-requisite(s): ELC 4451  

Introduction to the processing and analysis of images in higher dimensions, including images and video. Characterization of higher dimensional signals. Multidimensional Fourier analysis, FFT's, systems and convolution. Reconstruction of images from projections. Tomography, Abel transforms, Radon transforms. Synthesis and restoration of signals using projection methods. Alternating projections onto convex sets.

ELC 5353  Biomedical Signal Analysis  (3)  
Cross-listed as BME 5353  
Pre-requisite(s): ELC 4451 or BME 4452  

Applications of signal theory and digital signal processing concepts toward biomedical signals. Topics include filters, signal modeling, adaptive methods, spectral analysis and statistical signal processing methods.

ELC 5354  Random Signals and Noise  (3)  
Pre-requisite(s): ELC 3335 and consent of instructor  

Foundational treatment of probability, random variables and stochastic processes used in the analysis of random signals and noise in many areas of engineering. Topics include the modeling and properties of probability, scalar and vector random variables, the central limit theorem, stochastic processes, stationarity, ergodicity, the Karhunen-Loeve expansion, power spectral densities, response of linear systems to random signals, and Markov chains.

ELC 5356  Statistical and Adaptive Signal Processing  (3)  
Pre-requisite(s): ELC 5354  

Unified introduction to the theory, implementation, and applications of statistical and adaptive signal processing methods. Key topics focus on spectral estimation, signal modeling, adaptive filtering, and signal detection.

ELC 5357  Cardiovascular Engineering and Instrumentation  (3)  
Cross-listed as BME 5357, EGR 5357, ME 5357  

See BME 5357 for course information.

ELC 5358  Introduction to Computational Intelligence  (3)  
Pre-requisite(s): Consent of instructor  

Foundational knowledge of computational intelligence and its application to engineering problems. Discriminant analysis, artificial neural networks, perception training and inversion, fuzzy logic, fuzzy inference engines, evolutionary computation, particle swarms, intelligent agents, and swarm intelligence.

ELC 5360  Linear Systems  (3)  
Pre-requisite(s): ELC 4332 or equivalent  

Analysis of linear systems, including system modeling, state-variable representations, discrete-time systems, linear algebra, linear dynamic equations, stability, observability, controllability, state-feedback and state-estimators, realization, and pole placement.

ELC 5362  Optimal Control  (3)  
Pre-requisite(s): ELC 5360 or equivalent  

Optimal control problems, static optimization, optimal control of discrete-time systems, the variational approach to optimal control, linear quadratic regulator problems, the maximum principle, extensions of LQR problem, time-optimal control problems, dynamic programming.

ELC 5364  Intelligent Control  (3)  
Pre-requisite(s): ELC 4332 or 4335 or Graduate standing  

Introduction to intelligent control and optimization using a control-engineering approach. Topics include decision-making techniques, neural network architectures for modeling and control, system identification, fuzzy systems, evolutionary algorithms, and swarm intelligence.

ELC 5370  Introduction to Information Theory  (3)  
Pre-requisite(s): ELC 4350 or instructor approval  

Topics include: information models, entropy measures, data compression, coding theory, error correcting codes, the Kraft inequality, optimal codes, Shannon coding theorem, Burg’s theorem, evolutionary informatics, Kolmogorov complexity, algorithmic information theory, and Chaitin's number.

ELC 5381  Advanced Power Grid Interface Techniques  (3)  
Pre-requisite(s): ELC 4332 and either ELC 4340 or ELC 4345  

Introduction to distributed power generation, power conversion topologies and their control, power factor correction circuits, harmonic concepts and power quality, modeling and control of grid-connected loads and filters, interconnection standards and control issues, and control systems for rotating machines.

ELC 5390  Research Methods and Project Formulation  (3)  
Cross-listed as BME 5390, EGR 5390  
Pre-requisite(s): Approval of student's proposed master's thesis or project advisor  

Designed for students in the process of selection of thesis or project topic. Students will gain experience in literature and/or laboratory research methods and formulation of a project appropriate for their area.

ELC 5396  Special Topics in Engineering  (3)  
Cross-listed as BME 5396, EGR 5396, ME 5396  

See EGR 5396 for course information.

ELC 5397  Special Projects in Engineering  (3)  
Cross-listed as BME 5397, EGR 5397, ME 5397  

See EGR 5397 for course information.

ELC 5V99  Master's Thesis  (1-6)  
Pre-requisite(s): Approval of student's master's thesis advisor  

Students completing a master's program with a thesis must complete six hours of ELC 5V99.

ELC 6V10  Doctoral Prospectus Research  (1-6)  
Pre-requisite(s): Instructor approval  

Supervised research for developing a dissertation prospectus that will be the subject of the preliminary exam that will admit students to candidacy. A student may repeat this course for credit with a maximum of ten total hours. Registration for this course is sufficient for achieving full-time status.

ELC 6V99  Dissertation  (1-12)  
Pre-requisite(s): Consent of student's supervisory graduate committee and admission to doctoral candidacy  

Required of all doctoral candidates. In no case will fewer than 12 semester hours be accepted for a dissertation. Students may not enroll for dissertation hours until they have been officially accepted into candidacy for the doctoral degree. After initial enrollment, students must register for at least one semester hour of dissertation every semester thereafter (summer semester excluded).