University of Dayton
Academic Catalog 2013-14

Electrical and Computer Engineering

Guru Subramanyam, Department Chairperson

Doctorate of Engineering in Electrical  Engineering

See the Doctoral Degree Requirements section on the School of Engineering page and consult with the department chair.

Doctorate of Philosophy in Electrical Engineering

See the Doctoral Degree Requirements section on the School of Engineering page and consult with the department chair.

Master of Science in Electrical Engineering

 

The program of study leading to the Master of Science in Electrical Engineering must include a minimum of 30 semester hours of credit consisting of the following.

  1. At least nine semester hours in electrical engineering core courses approved by the advisor/advisory committee, to be selected from:
     
    ECE 501Contmp Digital Sys3
    ECE 503Random Processes3
    ECE 506Microelectronic Dev3
    ECE 507Electromag Fields I3
    ECE 509Analy-Linear Systms3
  2. At least nine semester hours in a concentration area such as Computing Systems, Sensors and Devices, or Signals and Systems, or as approved by the advisor/advisory committee.
  3. At least six semester hours of selected technical electives. Selected courses must be approved by the advisor.
  4. Six semester hours on an approved thesis or six hours of additional electrical engineering coursework. Students receiving 50% assistantship/stipend over one academic year or more will be required to pursue the thesis option.

See also Master's Degree Requirements in School of Engineering section in the bulletin.

Courses

ECE 501. Contemporary Digital Systems. 3 Hours

Introduction to sequential logic; state machines; high-performance digital systems: theory and application of modern design; alternative implementation forms and introduction to HDL; productivity, recurring and non-recurring costs, flexibility, and testability; software drivers; hardware/software integration; finite state machines. Prerequisite(s): ECE 215 or equivalent.

ECE 503. Random Processes. 3 Hours

Random variables as applied to system theory, communications, signal processing and controls. Topics include advanced engineering probability, random variables, random vectors and an introduction to random processes Prerequisite(s): ECE 340 or equivalent.

ECE 506. Microelectronic Devices. 3 Hours

Crystalline structure of matter, quantum mechanics and energy band theory; bulk properties of semiconductors; p-n and metal-semiconductor junctions; bipolar junction transistors; field-effect transistors; heterostructures; optical properties of semiconductors; devices, modeling and applications. Prerequisite(s): ECE 304 or permission of instructor.

ECE 507. Electromagnetic Fields I. 3 Hours

Fundamental concepts, wave equation and its solutions; wave propagation, reflection and transmission; potential theory; construction of modal solutions; various electromagnetic theorems: concept of source, uniqueness, equivalence, induction and reciprocity theorems. Prerequisite(s): ECE 333 or equivalent.

ECE 509. Analysis of Linear Systems. 3 Hours

State variable representation of linear systems and its relationship to the frequency domain representation using transfer functions and the Laplace transform. State transition matrix and solution of the state equation, stability, controllability, observability, state feedback and state observers are studied.

ECE 510. Microwave Circuits for Communications. 3 Hours

Microwave transmission, planar transmission lines, microwave components and filters. Microwave tubes, microwave communication, radar systems, and electronic support measures. Prerequisite(s): ECE 507.

ECE 511. Antennas. 3 Hours

Fundamental principles of antennas; analysis and synthesis of arrays; resonant antennas; broadband and frequency independent antennas; aperture and reflector antennas; applications to radar and communication systems. Prerequisite(s): ECE 507 or equivalent.

ECE 515. Engineering Magnetic Materials & Their Function in Green Energy. 3 Hours

Magnetic fundamentals including spontaneous magnetization; advanced magnetic materials, computer modeling of magnetic circuits using 2D/3D finite element analysis. Applications of magnetic materials in electric machines. Prerequisite(s): MAT 501; college physics or permission of instructor.

ECE 518. Electromagnetic Fields II. 3 Hours

Classification and construction of solutions. Plane cylindrical and spherical wave functions. Integral equations, mathematical theory of diffraction. Green's function. Prerequisite(s): ECE 507.

ECE 521. Digital Communications I. 3 Hours

Fundamentals of digital transmission of information over noisy channels; modulation schemes for binary and M-ary digital transmission; optimum receivers; coherent and noncoherent detection; signal design; intersymbol interference; error control coding; the Viberti algorithm; channel capacity and Shannon limits on reliable transmission. Prerequisite(s): ECE 503.

ECE 522. Digital Communications II. 3 Hours

Fundamentals of source coding and compression, Shannon's Theorem, Huffman coding; sysem synchronization; equalization techniques; multiplexing and multiple access systems; spread-spectrum systems and their applications; pseudo-noise, direct sequence systems, frequency hopping, jamming; encryption and decryption systems. Prerequisite(s): ECE 521.

ECE 523. Satellite Communications. 3 Hours

Topics related to the theory, design and orbital placement of geostationary and geosynchronous satellites and their communications applications, including transmitters and receivers in the RF, microwave and optical operational windows, the associated modulation and communication strategies, system hardware and international satellite networks. Prerequisite(s): ECE 507 or permission of instructor.

ECE 531. Microelectronics Systems. 3 Hours

Introduction to the design and application of engineering micro-electronics; bipolar and MOS device theory and processing technology; CMOS logic and circuitry; design principles fundamental to chip design and fabrication; case studies employing introduction to HDL. Prerequisite(s): ECE 304.

ECE 532. Embedded Systems. 3 Hours

This course will introduce the student to the concept of embedded systems and the constraints imposed on hard real-time systems. Course will consist of design, development and test of selected hard-deadline hardware and software using Altera's DE2 development boards. The student will design selected hardware interfaces and develop real-time executive and application code in assembly language and C. Each student will design and implement hardware using Verilog HDL. Prerequisite(s): ECE 501 or equivalent.

ECE 533. Computer Design. 3 Hours

Design considerations of the computer; register transfer operations; hardware implementation of arithmetic processors and ALU; instruction set format and design and its effect on the internal microengine; hardware and micro-programmed control design; comparative architectures. Prerequisite(s): ECE 501 or equivalent.

ECE 536. Microprocessor Applications. 3 Hours

Project studies, applications of microprocessors in practical implementations; logic implementation using software; memory mapped I/O problems and interrupt structure implementation; use of compilers; study of alternate microprocessor families including industrial controllers. Prerequisite(s): ECE 314 or equivalent; ECE 501.

ECE 538. Object-Oriented Programming Applications. 3 Hours

A semi-formal approach to the engineering applications of object-oriented programming. Application of the concepts of classes, inheritance, polymorphism in engineering problems. Introduction to the use of class libraries. Effective integration of the concepts of application programmer interfaces, language features and class libraries. Prerequisite(s): C-programming experience.

ECE 545. Automatic Control. 3 Hours

Study of mathematical methods for control systems and analysis of performance characteristics and stability. Design topics include pole-placement, root locus, and frequency domain techniques. The student will also learn feedback loop sensitivity, basic loopshaping, performance bounds and other introductory aspects of robust control. Prerequisite(s): ECE 415 or equivalent.

ECE 547. Non-Linear Systems & Control. 3 Hours

Introduction to nonlinear phenomena in dynamical systems. A study of the major techniques of nonlinear system analysis including phase plane analysis and Lyapunov stability theory. Application of the analytical techniques to control system design including feedback linearization, backstepping and sliding mode control. Prerequisite(s): ECE 509 or permission of instructor.

ECE 561. Digital Signal Processing. 3 Hours

A study of one-dimensional digital signal processing, including a review of continuous system analysis and sampling. Topics include z-transform techniques, digital filter design and analysis, and fast Fourier transform processing techniques. Prerequisite(s): ECE 334 or equivalent.

ECE 563. Image Processing. 3 Hours

An introduction to image processing including the human visual system, image formats, two-dimensional transforms, image restoration, and image reconstruction. Prerequisite(s): ECE 561.

ECE 564. 3D Computer Vision. 3 Hours

Develop the skills needed to generate synthetic images of 3D objects and to recover 3D structure from one or more views (projections) of 3D objects. Feature recognition in 2D views (images) of a scene based either on actual photographs or synthetic images (computer graphics generated). Applications in robot pose recognition and mobile robot navigation. Prerequisite(s): Ideally students should be familiar with C++ object-oriented programming (ECE 538), MATLAB, and image processing (ECE 563). However, accommodations will be made for students with experience in only one of these areas.

ECE 567. Machine Learning & Patterning. 3 Hours

This course introduces the fundamental concepts and models of machine learning with a practical treatment of design, analysis, implementation and applications of algorithms that learn from examples. Topics include supervised and unsupervised learning, self organization, pattern association, feed-forward and recurrent architectures, manifold learning, dimensionality reduction, and model selection. Prerequisite(s): ECE 445 or permission of instructor.

ECE 572. Linear Systems & Fourier Optics. 3 Hours

Mathematical techniques pertaining to linear systems theory; Fresnel and Fraunhoffer diffraction; Fourier transform properties of lenses; frequency analysis of optical systems, spatial filtering, applications such as optical information processing and holography. Prerequisite(s): Acceptance into the ECE graduate program or permission of the department chairperson.

ECE 573. Electro-Optical Devices & Systems. 3 Hours

Solid-state theory of optoelectronic devices; photoemitters; photodetectors; solar cells; detection and noise; displays; electro-optic, magneto-optic, and acousto-optic modulators; integration and application of electro-optical components in electro-optical systems of various types. Prerequisite(s): ECE 507 or permission of department chairperson.

ECE 574. Guided Wave Optics. 3 Hours

Light propagation in slab and cylindrical waveguides; signal degradation in optical fibers; optical sources, detectors, and receivers; coupling; transmission link analysis; fiber fabrication; fiber sensor and communication systems. Prerequisite(s): ECE 507 or permission of department chairperson.

ECE 575. Electro-Optic Sensors. 3 Hours

Optical sensors, including amplitude, phase, wavelength, polarization and modal interference based sensors. Photoelasticity effects in stressed optical materials. Quadrature point stabilization, linearity, dynamic range and sensitivity. Modulation and demodulation by both passive and active means. General sensor characteristics. Optical sources and detectors, optical signal-to-noise ratio analysis and general sensor characteristics. Fiber optic sensors and smart skin/structure technology. Prerequisite(s): ECE 574 or permission of department chairperson.

ECE 577L. Electro-Optics Laboratory. 1 Hour

Fiber optic principles and systems: numerical aperture, loss, dispersion, single and multimode fibers, communications and sensing systems; project oriented investigations of Electro/fiber-optic systems and devices in general, sources, detectors, image processing, sensor instrumentation and integration, Electro-optic components, display technology, and nonlinear optical devices and systems. Prerequisite(s): ECE 574 or permission of department chairperson.

ECE 581. Nanoelectronics. 3 Hours

Introduction to the physics of materials on the nanoscale; quantum confinement theory; electronic and optical properties of semiconductor nanostructures; single electron transistors (SETs); tunneling and ballistic devices; nanostructured LEDs, photodetectors, and lasers; nanophotovoltaics and nanomagnetics; quantum computing and molecular electronics; nanoelectronic fabrication, state-of-the-art and emerging nanoscale devices and applications. Prerequisite(s): ECE 506 or permission of instructor.

ECE 583. Advanced Photovoltaics. 3 Hours

Science and applications of photovoltaics, with special emphasis on inorganic and organic semiconductors, ferroelectrics, chalcopyrites, metamaterials, quantum structures and photovoltaics archictecture. Prerequisite(s): ECE 506 or permission of instructor.

ECE 595. Special Problems in Electrical Engineering. 1-6 Hours

Particular assignments to be arranged and approved by the department chair.

ECE 597. Research Methods. 3 Hours

This course will provide students the ability to apply research methods and problem solving skills to identify and define a research problem, develop hypotheses and research plans to test those hypotheses. Students will write and present an original research proposal.

ECE 599. Thesis. 1-6 Hours

Thesis in Electrical and Computer Engineering.

ECE 632. Contemporary Microelectron Design. 3 Hours

CMOS analog circuit design (oscillators, amplifiers, op-amps), mixed signal design (data converters), introduction to microelectron-mechanical system (MEMS) and wireless communications systems design, advanced VLSI digital design projects, seminar topics covering contemporary designs and techniques. Prerequisite(s): ECE 531.

ECE 636. Advanced Computer Architecture. 3 Hours

Examination of modern high performance computing architectures, including out-of-order execution RISC multicore processors and GPGPUs. Design projects integrate the concepts learned in class. Prerequisite (s): ECE 533.

ECE 637. Concurrent Processing. 3 Hours

Introduction to the concepts and practices of parallel processing and concurrency. Multiprogramming and multitasking. Synchronous and asynchronous events. Critical sections, mutexes and semaphores. Use of shared memory in engineering applications. Atomicity on CISC and RISC machines. Applications of interval timers. Case studies in engineering applications. Prerequisite(s): ECE 537, ECE 636, or equivalent.

ECE 642. Optimal Control & Estimation. 3 Hours

Introduction to optimal control, starting with dynamic programming for stochastic optimal control; continuous time optimal control, including Pontryagin's Minimum Principle and its application to the linear case, leading to linear optimal control. Prerequisite(s): ECE 509 or permission of instruction.

ECE 645. Adaptive Control. 3 Hours

On-line approximation based adaptive control techniques for nonlinear systems. An introduction to neural networks and fuzzy systems as part of the control loop is given, leading to a diversity of advanced methods for controlling and stabilizing nonlinear systems subject to uncertainties. Adaptive observers and adaptive output feedback are also introduced. Prerequisite(s): ECE 547 or permission of instructor.

ECE 661. Statistical Signal Processing. 3 Hours

This course studies discrete methods of linear estimation theory. Topics include random vectors, linear transformations, linear estimation theory, optimal filtering, least squares techniques, linear prediction, and spectrum estimation. Prerequisite(s): ECE 503, ECE 561.

ECE 662. Adaptive Signal Processing. 3 Hours

An overview of the theory, design, and implementation of adaptive signal processors. This includes discussions of various gradient search techniques, filter structures, and applications. An introduction to neural networks is also included. Prerequisite(s): ECE 661.

ECE 663. Statistical Pattern Recognition. 3 Hours

This course provides a comprehensive treatment of the statistical pattern recognition problem. The mathematical models describing these problems and the mathematical tools necessary for solving them are covered in detail. Prerequisite(s): ECE 661.

ECE 674. Integrated Optics. 3 Hours

Asymmetric dielectric slab wave-guides; cylindrical wave-guides; multi-layer wave-guides; dispersion, shifting and flattening; mode coupling and loss mechanisms; selected nonlinear wave-guiding effects; integrated optical devices. Prerequisite(s): ECE 574.

ECE 676. Quantum Electronics. 3 Hours

Principles of the quantum theory of electron and photon processes; interaction of electromagnetic radiation and matter; applications to solid state and semiconductor laser systems. Prerequisite(s): ECE 506, ECE 573, EOP 506, or equivalent.

ECE 682. Nano-Fabrication Laboratory. 3 Hours

This laboratory course will provide hands-on experience in state-of-the-art device fabrication technology. The course will be conducted primarily in a clean room laboratory with some classroom sessions for discussions. The students will have an opportunity to design, fabricate and test their own devices. Prerequisite(s): Permission of instructor.

ECE 690. Selected Readings in Electrical Engineering. 1-3 Hours

Directed readings in electrical engineering areas to be arranged and approved by the chair of the student's doctoral advisory committee and the department chair.

ECE 695. Special Problems in Electrical Engineering. 1-3 Hours

Special topics in electrical engineering not covered in regular courses. Course sections arranged and approved by the chair of the student's doctoral advisory committee and the department chair.

ECE 699. PhD Dissertation. 1-15 Hours

Original research in electrical engineering that makes a definite contribution to technical knowledge. Results must be of sufficient importance to merit publication.