Course List (Attachment A).docx

Acoustic Course List – NSWCCD

M.E. COURSES

Intro to Acoustics The goals of this course include exposing students to mathematical foundations of acoustics. Topics include a brief introduction to one degree of freedom vibrations followed by an in-depth examination of the acoustic wave equation. This knowledge will then provide a foundation for the semester's remaining topics, which include: acoustic metrology, sound propagation, Matlab signal processing, reflection, and transmission.

Acoustic Signal Processing This course examines the properties of signals and systems, sampling, data acquisition, Fast Fourier Transform (FFT), spectral analysis, digital filter design, power spectrum, Hilbert transform and the convolution integral. Practical applications of digital signal processing will be emphasized with a number of hands on MATLAB Programming exercises.

Advanced Vibrations Free and forced vibrations of single degree of freedom systems under a variety of time dependent loads. Damping in structures. Unit impulse response functions. Frequency domain analysis. Free and forced vibrations of multi degree of freedom systems. Modal Analysis, eigenvalues, eigenvectors. Numerical integration, time history analysis, and modal analysis of MDOF systems. Introduction to vibration of continuous systems.

Ocean Acoustics The course provides a comprehensive introduction on the ocean acoustics and acoustical oceanography. The topics covered ranging from physical principles of underwater acoustics to applications of sound to find fish, submarines, and study the ocean. Students will be required to carry out a research project and to report their findings.

Intermediate Acoustics The course will cover issues related to linear acoustics that stem from an understanding of the acoustic wave equation. The topics include acoustic metrology, attenuation of sound, radiation and reception, wave-guides human hearing and transduction. These analytic concepts will be applied to applied topics including musical instruments, audio, and biomedical ultrasound.

Design of Power and Propulsion Systems A practical design-oriented course dealing with propulsion and power-producing components and systems, including internal combustion engines, fossil fuel-fired power plants, nuclear/hydroelectric power plants, gas turbine engines, nozzles and jet propulsion, spacecraft, and direct energy converters. Open-ended design and computer problems are assigned.

Intermediate Fluid Mechanics Introduction, basic definitions, and properties of fluids. Conservation laws for a closed system. Conservation laws for an open system. Fluid kinematics. Inviscid incompressible flow. Viscous incompressible flow. Introduction to compressible flow.

Fundamentals of Ocean Acoustics Scientific interest in the underwater ambient acoustic environment began during the Second World War II. Initially, military interest led research but later a wide variety of civilian and commercial research began. This class will begin with an overview of general acoustics. The reminder of the course will focus on the particular features of the ocean environment that effect sound propagation as well as applications including sonar. The class is mathematical based but the goal of establishing this foundation is to support a physical understanding of the subject.

Acoustics & Wave Propagation Vibrating systems; simple, damped, and driven oscillators; strings; bars; membranes and plates. Plane, cylindrical, and spherical waves in a fluid: transmission, refraction, reflection, and absorption. Radiation from point, line, and piston sources.

Acoustics Media & Design This applied course covers design and measurement related issues in acoustics. Topics include the acoustics of natural and artificial porous media like gravel, mineral wool, foams and grass. The course addresses the use and design of data acquisition systems, the design of sound absorbers materials as well as the design of apparatuses for measuring acoustic properties. Experimental topics includes, impedance tube measurements, room acoustic measurements and design topics includes, design of sound absorber materials, design of acoustic measurement apparatus: porosity, flow resistivity and tortuosity apparatus.

Acoustic Metamaterials This course aims to provide fundamentals of acoustic propagation and mechanical characterization of biological tissue in the context of medical applications. The course will cover: acoustic wave propagation; acoustic radiation force; attenuation, absorption and scattering; Doppler effect; piezoelectric effect; ultrasonic transducer; ultrasonic imaging (B-mode); Beamforming; synthetic aperture imaging; Doppler flow measurements; color Doppler flow imaging; acoustic radiation force imaging; shear wave elastography, supersonic shear wave imaging; harmonic imaging; photoacoustic imaging; biological effects of ultrasound (heating, cavitation); in vitro and in vivo methods for speed, attenuation, absorption and scattering measurements.

Sensors and Actuators This course provides a detailed look at the modeling and design of sensors and actuators for electro-mechanical systems, such as those relating to temperature, pressure, sound and mechanical vibrations. The fundamental concepts relating to the transmission and reception of signals as well as the underlying physical principles will be examined, including an analysis of relevant sensors and actuators utilized in the lab and experienced in everyday life.

Sonar and Ocean Noise The course builds on fundamental knowledge of underwater acoustics and focuses on the analysis, design, and performance of sonar applications. The topics covered includes basic concepts of sound propagation and transmission loss through the ocean, noises, signal detection theory, and target detection and localization.

Underwater Transducers and Arrays This course provides a detailed look at the modeling and design of electroacoustic transducers and arrays for underwater applications. Common types of underwater transducers will be examined for both acoustic transmitters and receivers, and the corresponding array characteristics will be discussed. Specific topics covered will include modeling of piezoelectric transducers for various geometries, hydrophone and projector designs, phased arrays and array directivity.

Turbulence This course presents the fundamentals of turbulence. Topics include: introduction and motivation, statistical techniques for analysis, mean flow dynamics (Reynolds decomposition), Kolmogorov's theory, instrumentation, classical turbulent flowshear layers, jets, wakes, boundary layers (pipe flow) and introduction to numerical simulation of turbulent flows.

Modal Analysis Theoretical modal analysis. Random vibrations. Estimation of natural frequencies and mode shapes from experimental data. Experimental techniques for vibration measurements. Vibration sensors. Signal processing and data handling.

Advanced Vibrations and Structural Dynamics II Vibration of single degree of freedom systems. Multi-degrees of freedom systems. Introduction to modal analysis: natural frequencies and mode shapes. Distributed parameter systems: vibration of beams and plates. Analytical dynamics: LaGrange equations and Hamilton's principle.

E.E. COURSES

Digital Signal Processing This course examines the properties of signals and systems, sampling, data acquisition, Discrete-Time Fourier Transform (DTFT), Discrete Fourier Transform (DFT), Z-transform theory, spectral analysis, digital filter design and discrete transforms. Practical applications of digital signal processing will be emphasized with a number of hands on MATLAB Programming exercises.

Fundamentals of Neural Networks Introduces basic concepts of neural networks using the general framework of parallel distributed processing. Deals with architecture, principles of operation, training algorithms and applications of a number of neural networks. Each part of the course includes computer exercises using MATLAB performed by the student to demonstrate and reinforce the concepts learned in the class.

Introduction to Antenna Systems A review of electromagnetics is given with an emphasis on concepts needed for antenna theory (i.e., Vector Potentials, Free Space Green's functions, etc.). Basic concepts such as directivity, gain, bandwidth, beam width, polarization, and aperture size are defined and discussed. Antennas are presented from a circuit theory perspective. Case studies of dipole and loop antennas are developed to illustrate the analytical techniques. Radiation from apertures is also presented. Antenna arrays are treated and basic concepts such as scanning, amplitude distributions, grating lobes, and beam squint are introduced. The uniform and binomial distributions are treated in depth. The course concludes with a discussion of measurement techniques.

Electromagnetic Theory Theory of electromagnetic field equations and their application to wave propagation in waveguides and resonant structures. Includes partially filled waveguides, corrugated guide, and other structures.

Antennas and Propagation for Wireless Communications This course addresses issues related to wireless communications from a perspective of antennas and propagation. The electromagnetic theory and communications components of wireless communication systems are linked together for analyzing and designing such systems. The important role of antennas in setting up cellular communication systems is studied and critical propagation issues in the design of such systems are presented. Topics that will be discussed in the course include cellular communications history and principles, basic concepts in electromagnetic wave theory, reflection, transmission and polarization, antennas and radiation, Fresnel Theory, line-of-sight, models for radio propagation, flat earth, terrain roughness, diffraction theory, propagation in presence of buildings, fading, diversity, link budgets, system design issues.

Intro to Remote Sensing and Imaging Applications This course addresses the theory and principles of passive and active remote sensing at different frequencies. The course emphasis is on electromagnetic phenomena rather than image processing techniques for the remotely captured data. Topics include wave propagation and scattering from targets and natural surfaces, basic antenna systems, radiometry and the radar equation. Effects of different media and boundaries such as rough surfaces on wave characteristics (e.g. dispersion, reflection, refraction, attenuation) are discussed.

RF and Microwave Circuits This course is an introduction to the analysis and design of RF and microwave circuits from the perspective of distributed circuit theory. Fundamental concepts of impedance matching, network theory, S-parameters, coupled line theory, and system noise are discussed in relation to the design of passive and active components used in wireless communication circuits and mixed-signal circuits. Topics covered in the course include transmission lines, impedance matching, filters, power dividers, couplers, resonators, oscillators, mixers, active microwave transistor amplifiers, and design techniques for optimizing system gain, bandwidth, noise figure, and input/output impedance. Industry-standard microwave CAD tools will be used to analyze and design circuits. Students will fabricate several circuits in planar microstrip and learn how to characterize circuit performance on network/spectrum analyzer instruments to complete the design learning cycle.

Basics of Computational Electromagnetics This course is designed to provide undergraduate/graduate students in electrical engineering, with special interest in subject areas related to antennas, radar, and electromagnetic compatibility studies, necessary computational skills and tools useful in their professional career.

Method of Moments in Electromagnetics This course is designed to provide graduate students in electrical engineering (with specialization in Electromagnetic Theory) with numerical and computational skills and concepts to tackle electromagnetic wave phenomenon, radiation and scattering in the frequency domain.

Mathematical Analysis for Electromagnetics This course covers various mathematical methods useful for solving electromagnetic field problems. The topics covered are: a) Vector calculus: Green's theorem, line, surface and volume integrals, Divergence and curl of vectors, Divergence and Stokes theorem. b) Partial Differential Equations: Separation of variables, Fourier series and integrals. Separation in Cylindrical and Spherical coordinates. c) Greens functions for non-homogenous partial differential equations: Construction of Green's functions for Poisson and Wave equations.

Random Signal Analysis Mathematical techniques for analysis and measurement of random signals and processes needed as a foundation for work in radar/sonar, communication theory, or detection, and estimation. Probability; random variables; correlation functions and power spectra stationarity, ergodicity; linear and nonlinear systems with random inputs. Each part of the course includes computer exercises using MATLAB performed by the student to demonstrate and reinforce the concepts learned in the class.

Fundamentals of Kalman Filtering and Smoothing This course covers basic problem of state estimation (prediction, Kalman filtering, smoothing), the steady-state Kalman filtering for linearized state variable model, and state estimation for the "not-so-basic" state estimation. The state estimation is also discussed for nonlinear models. Each part of the course includes computer exercises using MATLAB performed by the student to demonstrate and reinforce the concepts learned in the class. These exercises include: implementation of the Kalman filter, and applications of the Kalman filtering and smoothing.

Fundamentals of Digital Image Processing This course deals with the fundamentals of the major topics of digital image processing. The topics used in the course include the two-dimensional systems and mathematical preliminaries, image sampling and quantization, image transforms, stochastic models, image enhancement, filtering, restoration, reconstruction, and compression. This course is accompanied with MATLAB projects.

Electromagnetic Radiation and Scattering Formerly EE 746 Introduces advanced electromagnetic theory with emphasis on radiation and scattering theory. Field equations derived for radiation and scattering problems and applied to simple antennas and bodies. Geometrical optics and geometrical theory of diffraction are presented for antenna problems, edge diffraction, and scattering from simple conducting bodies.

Statistical Signal Processing Binary Hypothesis Tests Detection Criteria, Performance, ROC, M hypotheses, Estimation Theory, Random Parameters, Bayes Estimation, Real Parameter Estimation, Multiple Parameter Estimation, Composite Hypotheses, the General Gaussian Problem. Representation of Random Processes, Deterministic Functions, Orthogonal Representations, Random Process Characterization, Homogeneous Integral Equations and Eigenfunctions, Periodic Processes, Vector Random Processes, Detection and Estimation of Signal Parameters, Detection and Estimation in AWGN, Detection and Estimation in Nonwhite Gaussian Noise. The Course is accompanied with MATLAB Projects.

ENGR. COURSES

Introduction to Mechatronics Fundamental concepts for the synergistic combination of mechanical and electrical engineering, computer science, and information technology. This includes basic control systems as well as numerical methods used to design products with built-in intelligence. The fundamental aspects of mechatronics include: system modeling, simulation, sensors, actuation, real-time computer interfacing, and control

Introduction to Optics In recent years, photonics has found increasing applications in areas such as communications, image processing, sensing and displays. The objective of this course is to provide a thorough survey of this rapidly expanding and important area of electrical engineering. This course will cover the primary theories of light including ray optics, diffraction, as well as the interaction of light with matter, polarization, Fourier optics, lasers and coherence. Practical applications of photonics such as imaging systems, holography, fiber optics, laser and detectors will be covered.

Optical Waveguides Light propagation in slab, cylindrical, and rectangular wave guides. Signal dispersion and attenuation in optical fibers. Perturbation and effective index techniques will be also discussed. Coupled mode theory and its applications as well as Beam propagation method (BPM) will be introduced.

Computational Methods for Graduate Students Discretization methods (finite differences, finite volumes, finite elements), stability and convergence; parabolic, hyperbolic, and elliptic PDEs: model equations and numerical solutions method. Numerous programming exercises will be assigned.

Experimental Techniques for Graduate Students This course introduces students to the different aspects of experimental research in engineering. The course will cover fundamental issues such as: planning and design of an experimental campaign, laboratory safety, data acquisition and signal processing. State-of-the-art experimental techniques in different areas of engineering research will also be presented, with focus on modern, non-intrusive, laser-based measurement methods. The goal is provide students with the knowledge required to plan, design and conduct an experimental campaign, which they can eventually apply to their own research efforts.

Math Analysis for Grad. Students The course is concerned with the introduction to first-order and higher-order differential equations, Laplace Transform, matrices, systems of linear differential equations, orthogonal functions and Fourier Series and boundary-value problems.

Semiconductor Optoelectronics - Materials and Devices This graduate-level course covers the principles and operation of various electro-optic devices such as semiconductor light sources, photo-detectors, image detectors, acousto-optic devices and light switches, and how they are used to design electro-optic systems.

Electromechanics The operation of many state-of-the art engineering systems depends on the successful exchange of signals, transporting either power or information, between mechanical and electromagnetic components. Sensors and actuators are prime examples of transducers which constitute the interface between mechanical and electromagnetic subsystems. Such electromechanical systems are utilized within a steadily increasing range of current applications and in future perspective they are critical for the development of the Internet of Things. To design and analyze electromechanical systems, an engineer needs to be deeply knowledgeable about both mechanics and electromagnetics, and industry leaders are lamenting a serious and widespread knowledge gap in this respect. This course in Electromechanics intends to fill this gap. In order to enable electrical and mechanical engineering students, respectively, to feel comfortable while exploring and mastering the “other” field, the course exploits the numerous, and often neglected, conceptual and mathematical analogies between electromagnetic and mechanical systems. The principal aim of the course is to enable students to view and analyze seemingly disparate and unrelated systems through a unifying set of principles and methods. Knowledge will be built and tested by presenting an extensive array of applications, ranging from classic and well-established devices to cutting-edge developments in the fast-growing field of Microelectromechanical Systems (MEMS).

Advanced Optical and Image Processing This course deals with advanced techniques in digital and optical image processing. The topics covered in the course include (a) image acquisition, (b) image enhancement techniques such as filtering using the two-dimensional Fourier domain, edge detection, intensity transformation, and neighborhood processing, (c) image restoration through noise smoothers, geometric transformation, Wiener filters and the inverse problem, (d) interpolation and resizing, (e) image registration which includes super-resolution, image mosaicking and image fusion, color demosaicking, stereo imaging for 3D depth map and motion analysis, (f) color and pseudo color and PCA, (g) Morphological image processing for medical imaging and fingerprint analysis, (h) 3D Imaging using tomography, and (i) 3d imaging using digital holography (if time permits).