Graduate Course Description
ECE 503. Power Electronics. SP14
Lecture 3 hours; 3 credits. Prerequisites: MATH 307 and ECE 303. Power electronics provides the needed interface between an electrical source and an electrical load and facilitates the transfer of power from a source to a load by converting voltages and currents from one form to another. Topics include: alternating voltage rectification, Pulse Width Modulation (PWM), DC converters (Buck, Boost, Buck-Boost, Cuk and SEPIC converters), negative feedback control in power electronics, isolated switching mode power supply, flyback and forward power supply, solid state power switches, AC inverter.
ECE 504/695. Electric Drives. FA13
Lecture 3 hours; 3 credits. Prerequisites: ECE 201 and ECE 303. Electric drives efficiently control the torque, speed and position of electric motors. This course has a multi-disciplinary nature and includes fields such as electric machine theory, power electronics, and control theory. Topics include: switch-mode power electronics, magnetic circuit, DC motor, AC motor, Brushless DC motor, induction motor, speed control of induction motor, vector control of induction motor, stepper-motor.
ECE 506. Introduction to Visualization. FA13
Lecture 3 hours; 3 credits. Prerequisite: a grade of C or better in CS 250. Introduction to computer graphics and visualization with emphasis on using 3D application programmer's interface (API) libraries. It covers mathematical foundations, rendering pipeline, geometrical transformations, 3D viewing and projections, shading, texture mapping, and programmable shaders. Various visualization applications are covered. (cross listed with MSIM 441/541)
ECE 507. Introduction to Game Development.
Lecture 3 hours; 3 credits. Prerequisite: CS 361 or equivalent. An introductory course focused on game development theory and practices using Microsoft XNA Game Studio with emphasis on educational game development. Topics covered include game architecture, computer graphics theory, user interaction, audio, high level shading language, animation, physics, and artificial intelligence. Students will develop games related to science (e.g., physics, chemistry, and biology), technology, engineering, and mathematics (STEM) education. The developed games can run on a variety of platforms, including Microsoft Windows, Xbox 360, Windows Phone 7 and Zune Digital Media Player. (cross listed with MSIM 408/508)
ECE 541. Advanced Digital Design and Field Programmable Gate Arrays. SP10
Lecture 3 hours; 3 credits. Prerequisite: ECE 341. Course will provide a description of FPGA technologies and the methods using CAD design tools for implementation of digital systems using FPGAs. It provides advanced methods of digital circuit design, specification, synthesis, implementation and prototyping. It introduces practical system design examples. (Offered spring)
ECE 543. Computer Architecture. FA13
Lecture 3 hours; 3 credits. Corequisites: ECE 304 and 484W. Prerequisites: ECE 341, 346. An introduction to computer architectures. Analysis and design of computer subsystems including central processing units, memories and input/output subsystems. Important concepts include datapaths, computer arithmetic, instruction cycles, pipelining, virtual and cache memories, direct memory access and controller design. (offered fall)
ECE 551. Communication Systems. SP13
Lecture 3 hours; 3 credits. Prerequisites: ECE 304 and a grade of C or better in ECE 202. Fundamentals of communication systems engineering. Modulation methods including continuous waveform modulation (amplitude, angle). Design of modulation systems and the performance in the presence of noise. Communication simulation exercises through computer experiments.
ECE 552. Introduction to Wireless Communication Networks. FA12
Lecture 3 hours; 3 credits. Prerequisite: ECE 304 and a grade of C or better in ECE 202. Introduction to current wireless network technologies and standards. The radio spectrum and radio wave propagation models (pathloss, fading, and multipath). Modulation, diversity, and multiple access techniques. Wireless network planning and operation. Current and emerging wireless technologies (satellite systems, vehicular/sensor networks).
ECE 554. Introduction to Bioelectrics. FA13
Lecture and design 3 hours; 3 credits. Prerequisites: PHYS 111N or higher; MATH 200 or higher. A one-semester course covering the electrical properties of cells and tissues as well as the use of electrical and magnetic signals and stimuli in the diagnosis and treatment of disease. Typical topics to be covered include basic cell physiology, endogenous electric fields in the body, electrocardiography, cardiac pacing, defibrillation, electrotherapy, electroporation, electrotherapy in wound healing. In addition, ultrashort electrical pulses for intracellular manipulation and the application of plasmas to biological systems will be covered. (Cross-listed with ENGN 454/554)
ECE 555. Network Engineering and Design.
Lecture and design 3 hours; 3 credits. Prerequisite: ECE 355 or permission of the instructor. This course is an extension of ECE 355 into a semester long project. Emphasis is on gaining an understanding of networking design principles that entails all aspects of the network development life cycle. Topics include campus LAN models and design, VLANs, internetworking principles and design, WAN design, design of hybrid IP networks, differentiated vs. integrated services, traffic flow measurement and management.
ECE 558. Instrumentation.
Lecture 2 hours; laboratory 2 hours; 3 credits. Prerequisites: PHYS 102N, 112N, or 232N, and a grade of C or better in ECE 202. Computer interfacing using a graphical programming language with applications involving digital-to-analog conversion (DAC), analog-to-digital conversion (ADC), digital input output (DIO), serial ports, and the general-purpose instrument bus (GPIB). Analysis of sampled data involving the use of the probability density function, mean and standard derivations, correlations, and the power spectrum. ECE 558 Students are required to do a semester long project on LabVIEW implementation. (offered spring, summer)
ECE 561. Automatic Control Systems. FA13
Lecture 3 hours; 3 credits. Prerequisite: a grade of C or better in ECE 202. Analysis and design of control systems via frequency and time domain techniques. Root locus, Bode and Nyquist techniques. Stability, sensitivity, and performance specifications. Cascade and feedback compensation. Computer-aided analysis and design. Pole placement through state variable feedback.
ECE 562. Introduction to Medical Image Analysis (MIA).
Lecture 3 hours; 3 credits. Prerequisite: a grade of C or better in MATH 212. Introduction to basic concepts in medical image analysis. Medical image registration, segmentation, feature extraction, and classification are discussed. Basic psychophysics, fundamental ROC analysis and FROC methodologies are covered.
ECE 563. Biomedical Applications of Low Temperature Plasmas. SP13
Lecture 3 hours; 3 credits. This course is cross listed between ECE and Biology. It is designed to be taken by senior undergraduate stu-dents and first year graduate students. The course contents are multidisciplinary, combining materials from engineering and the biological sciences. The course covers an introduction to the fundamentals of non-equilibrium plasmas, low temperature plasma sources, and cell biology. This is followed by a de-tailed discussion of the interaction of low tempera-ture plasma with biological cells, both prokaryotes and eukaryotes. Potential applications in medicine such as wound healing, blood coagulation, steriliza-tion, and the killing of various types of cancer cells will be covered.
ECE 572. Plasma Processing at the Nanoscale.
Lecture 3 hours; 3 credits. Prerequisite: ECE 323. The science and design of partially ionized plasma and plasma processing devices used in applications such as etching and deposition at the nanoscale. Gas phase collisions, transport parameters, DC and RF glow discharges, the plasma sheath, sputtering, etching, and plasma deposition.
ECE 573. Solid State Electronics. FA13
Lecture 3 hours; 3 credits. Prerequisites: ECE 313, 323 and 332. The objective of this course is to understand basic semiconductor devices by understanding semiconductor physics (energy bands, carrier statistics, recombination and carrier drift and diffusion) and to gain an advanced understanding of the physics and fundamental operation of advanced semiconductor devices. Following the initial introductory chapters on semiconductor physics, this course will focus on p-n junctions, metal-semiconductor devices, MOS capacitors, MOS field effect transistors (MOSFET) and bipolar junction transistors.
ECE 574. Optical Fiber Communication. SP12
Lecture 3 hours; 3 credits. Prerequisites: ECE 323 and MATH 312. Electromagnetic waves; optical sources including laser diodes; optical amplifiers; modulators; optical fibers; attenuation and dispersion in optical fibers; photodectors; optical receivers; noise considerations in optical receivers; optical communication systems.
ECE 578. Introduction to Lasers and Laser Applications.
Lecture 3 hours; 3 credits. Prerequisites: ECE 313 and MATH 312. Introduction and review of electromagnetic theory; atomic physics and interactions of radiation with matter; two- and three-level systems, and rate equations; gain; single-vs.-multimode; homogeneous and inhomogeneous broadening; Q-switching and mode-locking; semiconductor lasers; vertical cavity surface emitting lasers (VCSELs); Raman spectroscopy, remote sensing and ranging; holography; and laser ablation.
ECE 581. Introduction to Digital Image Processing.
Lecture 3 hours; 3 credits. Prerequisite: a grade of C or better in ECE 202 or permission of the instructor. This course introduces the fundamentals of digital image/picture processing in the MATLAB environment. Techniques in spatial and spatial-frequency domains are discussed and implemented for image enhancement and compression.
ECE 583. Embedded Systems.
Lecture 3 hours; 3 credits. Prerequisite: ECE 346. This course covers fundamentals of embedded systems: basic architecture, programming, and design. Topics include processors and hardware for embedded systems, embedded programming and real time operating systems.
ECE 595, 596. Topics in Electrical and Computer Engineering.
Lecture 1 to 3 hours; 1 to 3 credits each semester. Prerequisite: departmental approval.
ECE 601. Linear Systems. FA13
Lecture 3 hours; 3 credits. Prerequisite: MATH 307. A comprehensive introduction to the analysis of linear dynamical systems from an input-output and state space point of view. Concepts from linear algebra, numerical linear algebra and linear operator theory are used throughout. Some elements of state feedback design and state estimation are also covered.
ECE 607. Machine Learning I. SP13
Lecture 3 hours; 3 credits. Prerequisite: Graduate standing. Course provides a practical treatment of design, analysis, implementation and applications of algorithms. Topics include multiple machine learning models: linear models, neural networks, support vector machines, instance-based learning, Bayesian learning, genetic algorithms, ensemble learning, reinforcement learning, unsupervised learning, etc.
ECE 611. Numerical Methods in Engineering Analysis. FA12
Lecture 3 hours; 3 credits. Pre-requisites: Graduate standing or advisor's permission (for BS-MS students). Course intended to provide graduate students in Electrical and Computer Engineering with a basic knowledge of numerical methods in the areas of Physical Electronics and Systems Engineering. Topics will include: Discretization and truncation errors, Numerical integration, Solution of non-linear equations, Matrix methods, Ordinary and partial differential equations, Finite difference methods, Numerical stability, Simulation for stochastic processes, and other aspects of special interest to graduate students in the class.
ECE 612. Digital Signal Processing I. SP14
Lecture 3 hours; 3 credits. Prerequisite: ECE 200, ECE 381, or equivalent. This course will present the fundamentals of discrete-time signal processing. Topics will include time domain signals and discrete-time linear systems, continuous-time signal sampling and reconstruction, the Discrete Fourier Transform (DFT), the Z-transform, FIR and IIR digital filter design, and digital filter implementations. Applications and examples of DSP usage will be discussed. Problem solving using MATLAB is required.
ECE 623. Electromagnetism. SP14
Lecture 3 hours; 3 credits. Prerequisite: ECE 323 or equivalent. Review of electrostatic and magnetostatic concepts, time varying field, Maxwell's equations, plane wave propagation in various media, transmission lines, optical wave guides, resonant cavities, simple radiation systems, and their engineering applications.
ECE 642. Computer Networking. FA13
Lecture 3 hours; 3 credits. Prerequisites: ECE 455/555 or permission of the instructor. The course is based on the ISO (International Standard Organization) OSI (Open Systems Interconnection) reference model for computer networks. A focus is placed on the analysis of protocols at different layers, network architectures, and networking systems performance analysis. Current topic areas include LANs, MANs, TCP/IP networks, mobile communications, and ATM.
ECE 643. Computer Architecture Design. SP12
Lecture 3 hours; 3 credits. Prerequisite: ECE 443/543. Digital computer design principles. The course focuses on design of state-of-the-art computing systems. An emphasis is placed on superscalar architectures focusing on the pipelining and out-of-order instruction execution operations.
ECE 648. Advanced Digital Design. FA11
Lecture 3 hours; 3 credits. Prerequisite: ECE 341. The course introduces methods for using high-level hardware description language such as VHDL and/or Verilog for the design of digital architecture. Topics include top-down design approaches, virtual prototyping, design abstractions, hardware modeling techniques, algorithmic and register level design, synthesis methods, and application decomposition issues. Final design project is required.
ECE 651. Statistical Analysis and Simulation. SP14
Lecture 3 hours; 3 credits. Prerequisites: MATH 307 and one undergraduate course in probability or statistics. An introduction to probabilistic and statistical techniques for the analysis of signals and systems. This includes a review of probability spaces, random variables, and random processes. Analysis and simulation of systems with random parameters and stochastic inputs are considered.
ECE 652. Wireless Communications Networks. SP13
Lecture 3 hours; 3 credits. Prerequisite: ECE 451/551 or permission of instructor. Fundamental concepts in wireless communication systems and networks: radio waveform propagation modeling (free-space, reflections and multipath, fading, diffraction and Doppler effects); physical and statistical models for wireless channels; modulation schemes for wireless communications and bandwidth considerations; diversity techniques; MIMO systems and space-time coding; multiuser systems and multiple access techniques (TDMA, FDMA, CDMA); spread spectrum and multiuser detection; introduction to wireless networking and wireless standards; current and emerging wireless technologies.
ECE 667. Cooperative Education.
1-3 credits. Available for pass/fail grading only. Student participation for credit based on academic relevance of the work experience, criteria, and evaluative procedures as formally determined by the department and the Cooperative Education/Career Management program prior to the semester in which the work experience is to take place.
ECE 668. Internship.
1-3 credits. Prerequisite: approval by department and Career Management. Academic requirements will be established by the department and will vary with the amount of credit desired. Allows students an opportunity to gain short duration career related experience. Meant to be used for one-time experience. Work may or may not be paid. Project is completed during the term.
ECE 669. Practicum.
1-3 credits. Prerequisite: approval by department and Career Management. Academic requirements will be established by the department and will vary with the amount of credit desired. Allows students an opportunity to gain short duration career related experience. Student is usually already employed - this is an additional project in the organization.
ECE 695. Topics in Electrical or Computer Engineering.
Lecture 3 hours; 3 credits. This course will be offered as needed, depending upon the need to introduce special subjects to target specific areas of masters-level specializations in electrical or computer engineering.
ECE 695. Digital System Design. FA13
Lecture 3 hours; 3 credits. This course covers prerequisite topics for non-computer engineering graduate students interested in studying computer engineering. The course includes two major areas of digital system design and microcontroller design. Topics in digital system design include the use of a hardware description language to specify/design algorithmic state machines, controller design, data & control path design, and top-down design of digital systems. Topics in microcontroller design include an overview of microcontroller architectures, assembly language programming, programming, I/O interfacing, and interrupt managerment. Not open to students already with a BS in Computer engineering or have already taken ECE 341 and ECE 346 or the equivalent.
ECE 695 CGEP. Quantitative / Intro to Characterization of Materials. FA13
Lecture 3 hours; 3 credits. This course presents materials characterization, emphasizing surface and microanalysis, using the underlying science as a unifying framework, carrying through to illustrative applications. Its objective is to provide students having a bachelor's level background in physical science the knowledge level needed such that they can define a characterization strategy appropriate to the issue at hand, select the most promising techniques, communicate with a technique expert adequately to convey the need and interpret the results, use computer-based mathematical models to simulate the results of experiments, enter the specialist literature for a given technique so as to develop state of the art expertise and understand at this same level new techniques as they emerge.
ECE 695 CGEP. Materials Science of Surfaces and Interfaces. SP13
Lecture 3 hours; 3 credits. Fundamental and applied aspects of solid/liquid/vapor surfaces and interfaces including metals, oxides, polymers, microbes, water and other materials. Their structure and defects, thermodynamics, reactivity, electronic and mechanical properties. Applications depend on class interests, but have previously included microelectronics, soils, catalysis, colloids, composites, environment-sensitive mechanical behavior, UHV single crystal studies, materials durability, batteries & fuel cells, vacuum science & technology, and surface bioactivity.
ECE 695. Topics: Applied Mathematics in Engineering. SU13
Lecture 3 hours; 3 credits. This course provides a review of mathematical tools for graduate students in electrical engineering.
ECE 698. Master's Project.
3 credits. Individual project directed by the student's professor in major area of study.
ECE 699. Thesis Research.
1-9 credits. Prerequisite: departmental approval. Directed research for the master's thesis.
ECE 720/820. Modern Biomedical Instrumentation. FA12
Lecture 3 hours; 3 credits. Prerequisite: graduate standing. This course covers the design of modern biomedical instruments including select diagnostic, assistive, therapeutic, prosthetic, imaging, and virtual devices and systems. Techniques for mechanical, electrical, and chemical sensor and transducer design; stimulation and measurement; data acquisition; digital signal processing; and data visualization will be examined.
ECE 731/831. Graduate Seminar.
Lecture 1 hour; 1 credit. Prerequisite: graduate standing. Graduate seminar presentations concerning technical topics of current interest given by faculty and invited speakers.
ECE 742/842. Computer Communication Networks. SP14
Lecture 3 hours; 3 credits. Prerequisite: ECE 642 or permission of instructor. This is an advanced level course in data communications. A focus is placed on the analysis, modeling, and control of computer communication systems. Topics include packet switched networks, circuit switched networks, ATM networks, network programming, network control and performance analysis, network security, and wireless sensor networks.
ECE 751/851. Biostatistics: Fundamentals and Applications. FA13
Lecture 3 hours; 3 credits. Descriptive statistics, probability distributions and computations, estimation, hypothesis testing (one- and two-sample inferences), regression methods (simple and multiple), methods for analyzing categorical data (Fisher's exact test, McMenar's test, chi-square tests, Cochran-Mantel-Haenszel methods), analysis of variance including non-parametric alternatives, multi-sample inference. Appropriate examples will given from health sciences and biomedical enginering. This is an advanced
ECE 762/862. Digital Control Systems. SP13
Lecture 3 hours; 3 credits. Prerequisites: ECE 461/561 and 481/581 and ECE 601. To develop an understanding and practice in the analysis and design of sampled-data control systems using frequency and time-domain techniques. The Spring 2013 semester offering of the course will focus in developing the fundamental estimation tools needed in the solution of application problems in navigation and fault diagnosis. In particular, topics in estimation, control, and stochastic optimal control will be presented. Simulation, analysis, and design techniques with Matlab will be used extensively.
ECE 763/863. Multivariable Control Systems. SP14
Lecture 3 hours; 3 credits. Prerequisites: ECE 461/561 and 601. A comprehensive introduction to techniques applicable in control of complex systems with multiple inputs and outputs. Both the frequency domain and state variable approaches are utilized. Special topics include robust and optimal control.
ECE 766/866. Nonlinear Control Systems. SP12
Lecture 3 hours; 3 credits. Prerequisites: ECE 461/561 and 601. An introduction to mathematical representation, analysis, and design of nonlinear control systems. Topics include phase-plane analysis, Lyapunov stability theory for autonomous and nonautonomous systems, formal power series methods and differential geometric design techniques.
ECE 771/871. Analog VLSI.
Lecture 3 hours; 3 credits. Prerequisite: ECE 313. A survey of some fundamental topics in analog VLSI including current mirrors, amplifiers, frequency response, noise, feedback, stability, and operational amplifiers. Projects on design of CMOS operational amplifiers including the use of Cadence design tools for simulation and layout. Students are expected to have some knowledge or experience with analog electronics.
ECE 772/872. Fundamentals of Solar Cells. SP13
Lecture 3 hours; 3 credits. Prerequisites: Graduate standing in Engineering and Science. The course provides an overview of the fundamentals of solar cell technologies, design, and operation. The course is designed for graduate students in Engineering and Science interested in the field of alternative energy. The course objectives are to make sure each student: understands the various forms of alternative energies, understands solar cell design, understands solar cell operation, and acquires knowledge of the various solar cells technologies. The topics to be covered include: Alternative energies; Worldwide status of Photovoltaics; Solar irradiance; Review of semiconductor properties; Generation, recombination; Basic equations of device physics; p-n junction diodes; Ideal solar cells; Efficiency limits; Efficiency losses and measurements; Module fabrication; c-Si technology; classical; Photovoltaic systems; Design of stand-alone system; Residential PV systems.
ECE 773/873. Introduction to Nanotechnologies. FA12
Lecture 3 hours; 3 credits. Prerequisite: graduate standing in Engineering and Science. This course will introduce the rapidly emerging field of nanotechnology with special focus on underlying principles and applications relevant to the nanoscale dimensions. Specifically, this course will cover (1) the basic principles related to synthesis and fabrication of nanomaterials and nanostructures, (2) zero-, one-, two- and three- dimensional nanostructures, (3) characterization and properties of nanomaterials, and (4) application of nanoscale devices.
ECE 774/874. Semiconductor Characterization. FA12
Lecture 3 hours; 3 credits. Prerequisite: ECE 473/573 or equivalent. Introduction of basic methods for semiconductor material and device characterization. Topics include resistivity, carrier doping concentration, contact resistance, Schottky barrier height, series resistance, channel length, threshold voltage, mobility, oxide and interface trapped charge, deep level impurities, carrier lifetime, and optical, chemical and physical characterization.
ECE 775/875. Non-thermal Plasma Engineering. FA11
Lecture 3 hours; 3 credits. This course covers the fundamental principles governing low temperature plasma discharges and their applications. First the fundamental properties of plasmas are introduced. These include the kinetic theory of gases, collisional processes, and plasma sheaths. Then in-depth coverage of the physical mechanicsms underlying the operation of non-equilibrium plasma discharges is presented, including important characteristics such as their ignition, evolution and eventual quenching. Finally, practical applications of non-thermal plasmas, including in biomedicine, are presented.
ECE 777/877. Semiconductor Process Technology. FA12
Lecture 3 hours; 3 credits. Prerequisite: ECE 473/573. Theory, design and fabrication of modern integrated circuits that consist of nano scale devices and materials. Topics include crystal growth and wafer preparation process including epitaxy, thin film deposition, oxidation, diffusion, ion implantation, lithography, dry etching, VLSI process integration, diagnostics, assembly and packaging, yield and reliability.
ECE 780/880. Machine Learning II.
Lecture 3 hours; 3 credits. Advanced topics in machine learning and pattern recognition systems. Data reduction techniques including principle component analysis, independent component analysis and manifold learning. Introduction to sparse coding and deep learning for data representation and feature extraction.
ECE 782/882. Digital Signal Processing II. FA12
Lecture 3 hours; 3 credits. Prerequisite: ECE 612 or equivalent. Review of time domain and frequency domain analysis of discrete time signals and systems. Fast Fourier Transforms, recursive and non-recursive digital filter analysis and design, multirate signal processing, optimal linear filters, and power spectral estimation.
ECE 783/883. Digital Image Processing. FA12
Lecture 3 hours; 3 credits. Prerequisites: ECE 481/581 or 782/882. Principles and techniques of two dimensional processing of images. Concepts of scale and spatial frequency. Image filtering in spatial and transform domains. Applications include image enhancement and restoration, image compression, and image segmentation for computer vision.
ECE 784/884. Computer Vision. SP13
Lecture 3 hours; 3 credits. Prerequisite: Knowledge of C/C++ or MATLAB, data structures and programming skills, analytical solid geometry, and calculus is helpful. The objective of this course is to convey the basic issues in computer vision and major approaches that address them. After completing the course, the students will have the knowledge needed to read and understand the more advanced topics and current research literature, and the ability to start working in industry or in academic research. However, this course is NOT designed to be a "cookbook" course that gives just a survey of the methods needed in "practice," nor will it cover "commercial" systems in any detail. An emphasis is placed on the implementation of computer algorithms using high level programming languages such as C/C++, MATLAB, etc. to process images.
ECE 787/887. Digital Communications. FA12
Lecture 3 hours; 3 credits. Prerequisite: ECE 451/551 or equivalent or permission of the instructor. Fundamental concepts of digital communication and information transmission: information sources and source coding; orthonormal expansions of signals, basis functions and signal space concepts; digital modulation techniques including PAM, PSK, QAM, and FSK; matched filters, demodulation and optimal detection of symbols and sequences; bandwidth; mathematical modeling of communication channels; channel capacity.
ECE 795/895. Neural Engineering. FA13
Lecture 3 hours; 3 credits. Prerequisite: Graduate standing or permission of instructor. This couse presents engineering techniques for the restoration and augmentation of human function via direct interactions between the nervous system and artificial devices, with particular emphasis on brain-computer interfaces. Novel interfaces, hardware and computational issues, and practical and ethical considerations will also be covered.
ECE 795/895. Topics in Electrical and Computer Engineering.
Lecture 3 hours; 3 credits. Prerequisite: departmental approval.
ECE 797/897. Independent Study. FA13
Lecture 3 hours; 3 credits. Prerequisite: departmental approval. This course allows students to develop specialized expertise by independent study (supervised by a faculty member).
ECE 895. Quantitative Analysis of Human Physiological Systems I. FA13
Lecture 3 hours; 3 credits. Prerequisite: departmental approval.
ECE 895. Quantitative Analysis of Human Physiological Systems II. SP14
Lecture 3 hours; 3 credits. Prerequisite: departmental approval.
ECE 899. PhD. Dissertation Research.
1-9 credits. Prerequisite: departmental approval. Directed research for the doctoral dissertation.
ECE 999. Electrical and Computer Engineering.
1 credit. A one-hour audit registration required of all graduate students to maintain active status during the final semester prior to graduation if they are not formally enrolled in course work and have not completed all academic requirements for the degree. (Refer to the policy on Graduate Student Registration Requirement for additional information.)