The Department of Electrical And Computer Engineering Graduate Brochure Programs, Facilities, Faculty
From the Departmental Chair Dear Colleagues and Friends of the Department: This brochure serves as an academic guide to our students in the graduate programs in Electrical and Computer Engineering. Contained herein are details relating to the requirements, specializations, and milestones for the masters degree and doctoral degree offered by the faculty of the Electrical and Computer Engineering Department. In addition, there is included information about our facilities, laboratories, and faculty.
Our program provides students with the tools needed to produce cutting-edge technologies in the electronics and computer systems industries. Our students learn to use state-of-the-art computational and engineering tools and are prepared to work in diverse settings with evolving technologies. Students have access to facilities offering top-of-the-line equipment with industry specific software such as MATLAB, FPGA development tools from Altera, Xilinx and Microsoft Visual Studio Pro, real-time control tools from dSPACE, industrial robots from Yaskawa Motoman, design tools for mixed signal ICs, such as Agilent’s EESof, AWR Suite for Analog, RF and Microwave design.
Generally, for new students who do not already have an academic advisor, the Chair of the department serves as the interim advisor until the student selects one who will be the student’s mentor. A few teaching assistants are awarded as available by the Chair of the department and research assistantships are awarded by the faculty who have funded research projects. There are several competitively awarded fellowships and scholarships available. Other financial aid is available through our Financial Aid office.
As you can see from the brochure, we have a fine faculty, and research laboratories. Our faculty excel in teaching, research, and service to students and the community. We welcome you to enjoy the ECE graduate experience.
Sincerely, Guru Subramanyam OUR MISSION OF GRADUATE EDUCATION Graduate education at the University of Dayton: · Advances learning, knowledge, and skills, and prepares students for immediate and ethically-grounded leadership and service to their professions, intellectual disciplines, and communities.
· Responds to the needs of the region, the larger society, and the Catholic Church
· Contributes to the academic excellence and reputation of the University as a Catholic leader in higher education.
Programs The UD School of Engineering, through its Department of Electrical and Computer Engineering (ECE), offers programs of study leading to: Master of Science (MS), Doctor of Philosophy (PhD).
The MS degree has an instructional and a research Students receiving any type of assistantship (teaching or research) are required to take the thesis option.. The PhD is granted in recognition of superior achievement in independent research and course work. The research must demonstrate that the student possesses capacity for original thought, talent for research, and ability to organize and present findings.
The interdisciplinary Electro-Optics Program (EOP), which offers both MS and PhD degrees in Electro-Optics, is also an integral part of the ECE Department.
Admission Requirements To be considered for admission to a master’s degree program in Electrical and Computer Engineering (ECE), a student should have received an undergraduate degree from an Students who have degrees in other engineering areas or related sciences are encouraged to apply, but they may be required to take a limited amount of undergraduate course work to complete their preparation for graduate studies in ECE. A grade point average of 3.0 or above, based on a 4.0 scale, is required. Students with lower grade point averages may be considered for acceptance on a conditional basis, in which case particular attention will be given to their last 60 semester hours of undergraduate course work, professional experience, and recommendations. In some cases, a limited number of undergraduate courses are required. Although not mandatory, we encourage submission of GRE scores to assess a candidate’s potential.
To be considered for admission to the doctoral program in ECE, a student must have received the equivalent of a masters degree in ECE, with a minimum grade point average of 3.2/4.0. In each case, particular attention is given to prior academic preparation, research experience and interests, and recommendations. All international students are required to have a minimum score of 550 in TOEFL for admission to graduate programs at the University of Dayton.
Financial Assistance A substantial amount of financial aid, in the form of teaching and research assistantships and fellowships, is available to students with appropriate academic background. Through a host of available programs, ECE offers competitive monthly stipends for assistantships, based on half-time employment during the academic year and up to three months of summer employment. For instance, from the department’s MUMMA foundation, we offer tuition scholarships and assistantships to exceptional incoming candidates. Graduate students can also receive teaching assistantships from the department for helping professors with undergraduate courses and laboratories. In addition, student-faculty research fellowships are available through the Dayton Area Graduate Studies Institute (DAGSI), a state-funded consortium of Ohio universities. As DAGSI participants, students have the added benefit of tuition free course work, using the libraries, computational and research resources (including the Ohio Super Computer System) from any DAGSI institution. More information is available at http://www.dagsi.org.
Master of Science in Electrical Engineering Advising In case of a graduate research assistant (RA), the research supervisor shall serve as the academic advisor. For all other students, the graduate student advisor or the ECE chairperson will serve as the temporary advisor until the student has identified his/her advisor from among the ECE faculty members. The advisor will assist the student in the preparation of a plan of study.
Plan of Study The individual plan of study will include the specific courses the student is expected to complete and reflect all other requirements of the MS degree. It must be filed with the Office of Graduate Engineering Programs & Research prior to registration for the 10th semester hour or before registration for the third semester. The proper form may be obtained from the Office of Graduate Engineering Programs & Research. The plan of study and any amendment thereof must be approved by the advisor, the ECE chairperson, and the associate dean of graduate engineering programs and research.
The MS program of study must include a minimum of 30 semester hours consisting of the following: 1. Nine semester hours of core courses selected from 2. Nine semester hours in an electrical engineering specialization area, such as Computing Systems, Sensors and Devices, Signals and Systems, or any other interdisciplinary area approved by the 3. Six semester hours in approved basic and engineering science, which may include ECE courses approved 4. Six semester hours of an approved thesis or six semester hours of electrical engineering graduate Only up to six semester hours of graduate courses can be included as transfer credits.
format guidelines as described in A Manual for the Preparation of Graduate Theses and Dissertations, which can be found online at http://gradschool.udayton.edu/initiative/guidelines.pdf.
Students completing a thesis for their MS degree are examined by a thesis committee consisting of three members, at least two of whom, including the committee chair, must be members of the graduate faculty. Two of the committee members must be ECE faculty members. Exceptions may be granted by the department chairperson and reviewed by the Graduate Council and the Dean of the Graduate School. The thesis examination requires an oral presentation, given only after the final draft of the written thesis has been adequately reviewed by all members of the thesis committee and the thesis advisor has approved the draft. A student who fails to successfully defend his/her thesis cannot be given another examination in the same semester. No student shall be allowed to take this examination more than twice.
A pass/fail grade will be assigned upon completion of the Doctoral Programs Doctoral Advisory Committee (DAC) Before the end of the first enrolled semester, the student, in consultation with the ECE chairperson, selects an ECE faculty member to serve as the chair of the DAC. The chair of the DAC must be a member of the graduate faculty. The advisory committee of at least four members, consisting of the chair and at least two other graduate faculty members, requires concurrence by the ECE chairperson and the Engineering Dean (or designate), and approval by the Dean of the Graduate School. One of the members must be an external member whose primary appointment is outside the candidate’s department or outside the University. The external member must be familiar with the standards of doctoral research and should be in a collateral field supportive of the dissertation topic. The duties of the DAC shall include advising the student, assisting the student in preparing the program of study, administering and reporting the candidacy examination, assisting in planning and conducting research, approving the dissertation, and reporting the results of the dissertation defense. A dissertation advisor other than the chair of the DAC may be appointed by the DAC.
Semester-Hour Requirements The minimum semester-hour requirement for the doctoral degree is 90 semester hours beyond the bachelor’s degree, or 60 semester hours beyond the master’s degree. This includes the credits for the doctoral dissertation. Of the 60 semester hours beyond the MS, a minimum of 48 semester hours must be taken at the University of Dayton. Doctoral candidates must be registered for a minimum of two semester hours every semester during their candidacy, including the semester in which the final examination is taken.
Plan of Study The plan of study shall include all courses beyond the master’s degree that the student is required to complete. It must be filed with the Office of Graduate Engineering Programs & Research prior to registration for the 13th semester hour. The plan shall indicate the time and manner in which these requirements are to be met. It is to be completed and approved by the DAC, the ECE chairperson, and the associate dean of graduate engineering programs and research, before the end of the second semester of the student’s enrollment. The proper form may be obtained from the Office of Graduate Engineering Programs and Research.
The plan of study of a student seeking a PhD degree in electrical engineering requires a minimum of 60 semester hours beyond the Master’s degree and must include the following: 1. Nine semester hours from an approved concentration area such as Computing Systems, Sensors and Devices, Signals and Systems, or any other interdisciplinary area approved by the 2. At least six semester hours of approved graduate 3. Thirty semester hours of PhD dissertation in electrical engineering.
The PhD dissertation must either add to the fundamental knowledge of the field or provide a new and better interpretation of facts that are already known. It is expected to result in one or more papers suitable for publication in a refereed journal.
with the PhD Candidacy Examination if they have passed the ECE PhD Candidacy Examination The purpose of the PhD candidacy exam is to determine the student’s preparedness for carrying out advanced studies at the doctoral level, and to assess the student’s ability to perform independent research. The student must have a DAC in place before the candidacy exam can be attempted. The DAC consists of three ECE faculty members (including the dissertation advisor) in the student’s research area and an external member. The external member may be a faculty member in a related department at UD holding graduate faculty status, or a qualified expert in the student’s research area from outside the university holding a PhD. The student must have filed a plan of study, and the DAC must be in place, before the candidacy exam can be attempted. The candidacy exam can only be attempted after the student has earned at least 12 ECE graduate credit hours beyond the MS degree, and the PE has been passed or a waiver been granted.
The candidacy examination consists of two parts: 1. Qualifying Examination (QE): a written and an oral examination on a research question (or set of questions) formulated by the dissertation advisor with input from the DAC members. The objective of the QE is to assess the student’s ability to carry out independent, unsupervised research leading to a well-written report. The student is given no more than a month to submit the report, after which the oral examination takes place. The oral presentation is open to the public. After the public dismissal following the presentation, the DAC members pose question related to the written report, or any other relevant areas. The student cannot take more than 12 dissertation credit hours before If the second attempt is also failed, the student is dismissed from the PhD program.
2. Dissertation proposal defense (DPD): a written proposal and an oral examination on the research topic the student intends to pursue. The objective of the DPD is to assess the student’s qualification for delivering a meaningful and publishable PhD dissertation, and for defending a research idea before a critical audience. The DPD can only be attempted after QE has been passed; after all coursework requirements have been completed; and at least six dissertation credit hours have been completed. The student must take at least 12 dissertation credits after successful completion of the DPD. The student will submit the written proposal to the DAC detailing the area of dissertation research at least one week prior to the oral examination. The proposal must present a clear problem definition, a review of the literature in the area, the justification and the uniqueness of the research, the methodology, preliminary work performed and expected results, the laboratories and/or other facilities needed, and a schedule of work. The proposal must also show preliminary evidence of doctoral level research work commensurate with rigors of a journal submission.
The student will make an oral presentation open to the public summarizing the written proposal. After the public dismissal following the presentation, the student will be asked by the DAC questions related to the proposal The timeline and milestones for the PhD program are shown on page 16. For more details about the QE and DPD, please visit ECE’s website at http://www.udayton.edu/engineering The student must have at least one journal submission as a requirement for graduation with a PhD degree.
Dissertation A dissertation is required of each doctoral candidate who has passed the candidacy examination. The student, in consultation with the advisor and the DAC, selects the dissertation topic. The dissertation topic must be approved by the DAC. The dissertation must be prepared in accordance with the instructions outlined on the Thesis and Dissertation guidelines, which can be found on the library website: http://libguides.udayton.edu/content.php?pid=65891&sid=48 Instructions on the electronic submission of the completed dissertation can also be found on this website. A proof of publication or manuscript prepared for an appropriate journal and an acknowledgement of receipt by the editor must also be submitted along with the dissertation.
The student must obtain approval from the DAC to undertake all or part of the dissertation in absentia. A letter requesting such permission, signed by the chair of the DAC, must be submitted to the associate dean of graduate engineering programs and research. This letter should outline in detail the relationship between the advisor and the candidate and the name and background of the person who will directly advise the candidate during the accomplishment of this independent research. This person will be added to the advisory committee.
Dissertation Defense No earlier than six months after the successful candidacy examination, the candidate shall defend the doctoral dissertation in a public forum to demonstrate to the committee that all the preparation for which the doctoral degree is awarded has been met. The defense is open to all members of the University of Dayton faculty, student body, and interested outside parties. The members of the DAC, with the advisor acting as chair, will conduct this dissertation defense. Students are expected to complete the requirements for the doctoral degree within five years after the candidacy examination has been passed.
has been successfully completed. If the candidate’s defense is deemed unsatisfactory by at least one member, the case will be referred to the associate dean of graduate engineering programs and research for appropriate action.
Academic Standards Graduate students are expected to do high-caliber work at all times and demonstrate continuing progress toward the degree. This requires that students maintain a minimum average grade of B in course work. The MS students are allowed to have no more than two grades of C. Students who fail to meet these requirements are either placed on academic probation or dismissed from the program. For PhD students, one grade of F, or more than one grade of C may be grounds for dismissal from the program pending recommendation of the DAC. All students are expected to adhere to the established university policies on Attendance, Academic Dishonesty, Computing Ethics, Misconduct in Research and Scholarship, and Software Audit.
Courses of Instruction ECE 501: CONTEMPORARY DIGITAL SYSTEMS: 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- Prerequisite: ECE 215 or equivalent. 3 sem. hrs.
ECE 503: ADVANCED ENGINEERING PROBABILITY: Random variables as applied to system theory, communications, signal processing and controls. Topics include advanced engineering probability, random variables, Prerequisite: ECE 340, or equivalent. 3 sem. hrs.
ECE 506: MICROELECTRONIC DEVICES: 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 and applications. Prerequisite: ECE 304 or permission of instructor. 3 sem. hrs.
ECE 507: ELECTROMAGNETIC FIELDS I: Fundamental concepts, wave equations and its solutions, wave construction of modal solutions; various Electromagnetic theorems: concept of source, uniqueness, equivalence, induction and reciprocity theorems. Prerequisite: ECE 333 or equivalent. 3 sem. hrs.
ECE 509: ANALYSIS OF LINEAR SYSTEMS: 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, 3 sem. hrs.
ECE 510: MICROWAVE ENGINEERING & SYSTEMS: Microwave transmission, planar transmission lines, microwave components and filters. Microwave semiconductor devices. Microwave tubes, microwave communication, radar systems, and electronic support measures. Prerequisite: ECE 507. 3 sem. hrs.
frequency-independent antennas; aperture and reflector Prerequisite: ECE 507 or equivalent. 3 sem. hrs.
ECE 515: ENGINEERING MAGNETIC MATERIALS AND THEIR FUNCTION IN GREEN ENERGY: Magnetic advanced magnetic materials, computer modeling of Prerequisites: MAT 501 and college physiscs, or permission of instructor. 3 sem. hrs.
ECE 518: ELECTROMAGNETIC FIELDS II: Classification and construction of solutions. Plane cylindrical and spherical wave functions. Integral equations, Prerequisite: ECE 507. 3 sem. hrs.
ECE 521: DIGITAL COMMUNICATIONS I: Fundamentals 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: ECE 503. 3 sem. hrs.
ECE 522: DIGITAL COMMUNICATIONS II: Fundamentals of source coding and compression, Shannon’s equalization techniques; multiplexing and multiple access pseudo-noise, direct sequence systems, frequency hopping, jamming; encryption and decryption systems. Prerequisite: ECE 521. 3 sem. hrs.
ECE 531: MICROELECTRONICS SYSTEMS: Introduction CMOS logic and circuitry; design principles fundamental to chip design and fabrication; case studies employing introduction to HDL. Prerequisite: ECE 304. 3 sem. hrs.
ECE 532: EMBEDDED SYSTEMS: This course will introduce the student to the concept of embedded 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 Prerequisite: ECE 501 or equivalent. 3 sem hrs.
ECE 533: COMPUTER DESIGN: Design considerations of the computer, register transfer operations; hardware instruction set format and design and its effect on the internal microengine; hardware and micro-programmed control design; comparative architectures. Prerequisites ECE 501 or equivalent. 3 sem. hrs.
ECE 536: MICROPROCESSOR APPLICATIONS: Project studies, applications of microprocessors in practical memory mapped I/O problems and interrupt structure implementation; use of compilers; study of alternate 3 sem. hrs ECE 538: OBJECT ORIENTED PROGRAMMING APPLICATIONS: A semiformal approach to the engineering 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: C programming experience. 3 sem. hrs.
ECE 545: AUTOMATIC CONTROL: Study of mathematical models for linear control systems and analysis of performance characteristics and stability. Design topics include pole-placement and the linear quadratic regulator, root locus, and frequency domain techniques; feedback loop sensitivity, basic loopshaping, performance bounds and other introductory aspects of robust control. Prerequisite: ECE 509 or permission of instructor. 3 sem. hrs.
ECE 547: NONLINEAR SYSTEMS AND CONTROL: A study of the major techniques of nonlinear system analysis Application of the analytical techniques to control system design including feedback linearization, backstepping and sliding mode control. Prerequisite: ECE 509 or permission of instructor. 3 sem. hrs.
ECE 561: DIGITAL SIGNAL PROCESSING I: A study of one-dimensional digital signal processing, including a review of continuous-system and analysis and sampling. Topics include z-transform techniques, digital filter design and Prerequisite: ECE 334 or equivalent. 3 sem. hrs.
ECE 563: IMAGE PROCESSING: An introduction to image processing including the human visual system, image formats, two-dimensional transforms, and image reconstruction. Prerequisite: ECE 561. 3 sem. hrs.
ECE 564: 3D COMPUTER VISION: 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. Prerequisites: ECE 538 and ECE 563, or permission of instructor. 3 sem. hrs.
ECE 567: MACHINE LEARNING FOR PATTERN CLASSIFICATION: 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: hrs.
ECE 572: LINEAR SYSTEMS AND FOURIER OPTICS: Fresnel and Fraunhaufer diffraction; Fourier transform properties of lenses; frequency analysis of optical systems, spatial filtering, application such as optical information processing and holography. Prerequisite: Acceptance into the ECE graduate program or permission of the department chairperson. 3 sem. hrs.
ECE 573: ELECTRO-OPTICAL DEVICES AND 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: ECE 507, or permission of the department chairperson. 3 sem. hrs.
ECE 574: GUIDED WAVE OPTICS: Light Propagation in slab and cylindrical wave guides; signal degradation in coupling; transmission link analysis; fiber fabrication and cabling; fiber sensor system. Prerequisite: ECE 507 or permission of the department chairperson. 3 sem. hrs.
ECE 575: ELECTRO-OPTIC SENSORS: 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: ECE 574 or permission of the department chairperson. 3 sem. hrs.
ECE 577L: ELECTRO-OPTIC SYSTEMS LABORATORY: 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: ECE 574 or permission of the department chairperson. 1 sem. hrs.
ECE 581: INTRODUCTION TO NANOELECTRONICS: quantum confinement theory; electronic and optical properties of semiconductor nanostructure; single electron nanophotovoltaics and nanomagnetics; quantum computing and molecular electronics; nanoelectronic fabrication, state- Prerequisite: ECE 506 or permission of instructor. 3 sem hrs.
ECE 583: ADVANCED PHOTOVOLTAICS: Science and applications of photovoltaics, with special emphasis on inorganic and organic semiconductors, ferroelectrics, chalcopyrites, metamaterials, quantum structures and photovoltaics architecture. Prerequisite(s): ECE 506. or permission of instructor. 3 sem. hrs.
ECE 595: SPECIAL PROBLEMS IN ELECTRICAL ENGINEERING: Particular assignments to be arranged and approved by the department chairperson. 2-6 sem. hrs.
ECE 603: APPLIED OPTIMAL ESTIMATION: Random processes and state-space analysis. Applied optimal Prerequisites: ECE 503 or equivalent. 3 sem. hrs.
ECE 632: CONTEMPORARY MICROELECTRONICS DESIGN: CMOS analog circuit design (oscillators, amplifiers, op-amps), mixed signal design (data converters), introduction to microelectromechanical systems (MEMS) and wireless communications systems design, advanced VLSI digital design projects, seminar topics covering contemporary designs and techniques. Prerequisite: ECE 531. 3 sem. hrs.
ECE 636: ADVANCED COMPUTER ARCHITECTURE: Examination of modern high performance computing architectures, including out-of-order execution RISC multicore processors and GPGPUs. Design projects integrate hrs.
ECE 637: CONCURRENT PROCESSING: Introduction to the concepts and practices of parallel processing and Synchronous and asynchronous events. Critical sections, mutexes and semaphores. Use of shared memory in engineering applications. Atomicity on CISC and RISC machines. Applications of internal timers. Case studies in engineering applications. Prerequisites: ECE 537, ECE 636 or equivalent. 3 sem. hrs.
ECE 642: OPTIMAL CONTROL AND ESTIMATION: Optimal control of discrete-time systems. Cost-equivalent Prerequisites: ECE 509. 3 sem. hrs.
ECE 645: ADAPTIVE CONTROL: On-line approximation based adaptive control techniques for nonlinear systems. An intro to neural networks and fuzzy systems as part of the control loop is given, leading to a diversity of advanced methods for control and estimating of nonlinear systems subject to uncertainties. Prerequisites: ECE 547, or permission of instructor. 3 sem. hrs.
ECE 661: STATISTICAL SIGNAL PROCESSING: This Topics include random vectors, linear transformations, linear estimation, optimal filtering, linear prediction, and spectrum estimation. Prerequisite: ECE 503, ECE 561. 3 sem. hrs.
ECE 662: ADAPTIVE SIGNAL PROCESSING: An overview of the theory, design, and implementation of adaptive signal processors. This includes discussions of various gradient research techniques, filter structures, and applications. An introduction to neural networks is also included. Prerequisite: ECE 661. 3 sem. hrs.
ECE 663: STATISTICAL PATTERN RECOGNITION: This course provides a comprehensive treatment of the statistical pattern recognition problem. The mathematical models describing these problems and the mathematical tools Prerequisite: ECE 661. 3 sem. hrs.
ECE 674: INTEGRATED OPTICS: Review of cylindrical dielectric waveguides; dispersion, shifting and flattening; mode coupling and loss mechanism; selected Prerequisite: ECE 574. 3 sem. hrs.
state and semiconductor laser systems. Prerequisite: ECE ECE 682: NANO-FABRICATION LABORATORY: 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: Permission of instructor. 3 sem. hrs.
ECE 690: SELECTED READINGS IN ELECTRICAL ENGINEERING: 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. 1-3 sem. hrs.
ECE 695: SPECIAL PROBLEMS IN ELECTRICAL ENGINEERING: 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 chairperson. 1-3 sem. hrs.
ECE 698: D.E. DISSERTATION: An original investigation as applied to engineering practice. Results must be of sufficient importance to merit publication. 1-15 sem. hrs.
ECE 699: PhD DISSERTATION: An original research in Electrical engineering which makes a definite contribution to technical knowledge. Results must be of sufficient importance to merit publication in a refereed journal. 1-15 sem. hrs.
Departmental and Computing Facilities Graduate Student Research PC Room KL 272 offers 26 Pentium IV 2.2 GHz workstations each with 1024MB RAM and 20” monitors. The workstations use Windows XP operating systems and require login with an Engineering School account. These workstations provide a School-standard PC software suite as well as several other advance engineering programs including ANSYS and Code V. This room also has a Hewlett-Packard LaserJet 5100tn postscript laser printer and an Epson 7800p projector.
The Innovation Corridor – KL 351 The Department of Electrical and Computer Engineering at the University of Dayton is starting an exciting new initiative to bolster collaborative research and increase undergraduate student participation in research activities. The three key areas that have been selected are physically placed in the newly-developed Innovation Corridor (IC), where collaboration, interchange of ideas and innovative research take place in a fertile environment.
The Corridor is located in the Kettering Labs complex 351, and contains three main laboratories corresponding to rapidly growing areas of research considered key in the development of the department: 1. Intelligent Signal and Systems Laboratory 2. Signals and Image Processing Laboratory 3. Embedded Data Processing Laboratory Broadly speaking, the areas covered by these laboratories are embedded computing, parallel computing, control and automation, robotics, digital and optical imagine processing, and nonlinear adaptive optics. The ECE department strongly believes that there exist connections between all these areas which, if recognized and brought to the forefront, will lead to a wealth of opportunities for collaborative research and will provide a means to attract not only highly qualified graduate students to the University of Dayton, but also motivated undergraduates willing to get involved in research early in their careers.
Signal & Image Processing Laboratory –KL 351B The Signal and Image Processing Laboratory is equipped with several workstations, a multimedia wall with a 50 inch plasma screen video display and powered studio-quality audio monitors, a small conference area, and researcher desks. The workstations include a Linux workstation, an audio processing workstation, a real-time signal processing The audio processing workstation is equipped with specialized audio analysis and synthesis software. The real- time signal processing workstation is equipped with Altera Quartus II software and we have two Altera DE2 boards in the lab for audio and video processing projects. The image and video processing workstation is connected to a Directed Perception pan-and-tilt mount and we have several camera systems available including a FLIR systems infrared camera, and high quality color and grayscale USB 2.0 cameras. All of the workstations are equipped with the standard engineering software packages that include MATLAB with many toolboxes including the data and image acquisition toolboxes. Using MATLAB we are able to rapidly develop and test audio and video processing algorithms and apply them using the available audio and camera systems.
Intelligent Signal and Systems Laboratory- KL 351C & D Research at Intelligent Signal Systems Laboratory is aimed at understanding the increasingly large role that signal systems play in the real-world. We connect the applied design efforts with the first principle ideas of mathematics, statistics, signal processing, and psychophysical models to enable new capabilities in image processing, computer vision, biomedical imaging, and sensors.
algorithm development and algorithm implementation. The Embedded Data Processing Lab is acquiring differing computational resources such as advanced computing servers, embedded data processing cards with Field Programmable Gate Arrays (FPGAs) and other computing platforms to allow for advanced research to be conducted in signal and image processing focused on technology transfer to real-time signal and image processing applications.
Other Specialized Facilities Nonlinear Control Laboratory The Nonlinear Control Laboratory in KL 302 houses a variety of experiments dedicated to research in advanced Experiments in the laboratory include a single rotational inverted pendulum, a double inverted pendulum, a 3 DOF helicopter, a magnetic levitation experiment, a reaction wheel pendulum, a 4 DOF robotic arm, a set of five table-top mobile robots and a humanoid robot. These experiments serve as test beds for advanced nonlinear control methods, and provide students with an excellent opportunity to face challenging control problems. The computers in the lab are outfitted with dSPACE real-time control cards, which allow control design and development to be carried out in These control cards are widely used in industry, and therefore provide students with knowledge of great practical value. The laboratory also has stations dedicated to prototyping and development, and are used by students who are building control experiments from scratch.
Motoman Robotics Laboratory The Motoman Robotics Laboratory in KL 232 was established in the Department of Electrical and Computer Engineering at the University of Dayton in August of 2008 with a generous donation from Motoman, Inc. End-of-arm The lab is located in Kettering Labs 232. It houses six state- of-the-art industrial robots, including a revolutionary seven- axis, actuator-driven IA20 robot; a revolutionary 15-axis, actuator-driven and human-like dual-arm DIA10 robot; a four-axis YS450 high-speed SCARA robot; two six-axis MH5S articulated robots and one HP3C six-axis, articulated robot with a compact controller. The lab focuses on visual servoing and other advanced robotics research. It also functions as the centerpiece of the undergraduate Robotics Concentration in the Electrical and Computer Engineering curriculum.
Microfabrication Laboratory KL 331 houses a Microelectronics Fabrication laboratory, a modular, class 1000 clean room, primarily designed for photolithography processes and thin-film depositions. The lab is equipped with a wet bench, a photoresist spinner, a mask aligner and a microscope. The laboratory is also equipped with a Torr International DC/RF sputtering system, capable of depositing conducting or dielectric thin-films. A new large area pulsed laser deposition (PLD) system is also housed in the clean room. The Nano Engineering Science and Technology (NEST) clean room located in the Science Center currently contains the state of the art microelectronic equipment including lithography, inductively coupled plasma etching system, sputtering and electron-beam evaporation system.
Ham-Radio Laboratory Graduate students with a current FCC license can conduct research in the Marvin A. Mumma Radio Laboratory in KL 252A, which includes equipment such as 1 70cm band The facility allows transmission and reception on all amateur radio bands and experimentation with amateur television.
Microwave Measurements Laboratory KL 470 has a Microwave Measurements Lab equipped with HP8720 Vector Network Analyzers (VNA), an on-wafer probe station integrated with a thermo-electric temperature controller, and other microwave accessories. The probe A Precision LC Tester manufactured by Radiant Technologies is available for characterization at low frequencies up to 1 MHz. Measurements have been The lab also has 3 site licenses for Sonnet electromagnetic simulation tools, and 20 site licenses for the Applied Wave Research’s Microwave Office and Visual System Simulator Design Tools.
Machine Learning, Artificial Neural Networks, High Performance and Low-Power Digital Architectures Biography: Dr. Vijayan Asari is the Ohio Research Scholars Chair in Wide Area Surveillance and Professor in Electrical and Computer Engineering at University of Dayton. Dr. Asari received his Bachelor’s degree in Electronics and Communication Engineering from the University of Kerala, India in 1978, the M.Tech. and PhD degrees in Electrical Engineering from the Indian Institute of Technology, Madras in 1984 and 1994 respectively. He had been working as a Professor in Electrical and Computer Engineering at Old Dominion University, Virginia and joined UD in February 2010. Dr. Asari has so far published more than 260 articles including 55 journal papers in the fields of image processing, computer vision, pattern recognition, artificial neural networks, and high performance and low power digital architectures for image and video processing applications. His current research focus areas are wide area surveillance, biometrics, vision guided robotic navigation, brain wave analysis, and high performance and low power architecture design.
Eric J. Balster Assistant Professor PhD, The Ohio State University, 2004 Areas of research interest: Image and Video processing, Software Engineering, Digital Systems Biography: Eric Balster graduated from the University of Dayton in 1998 with a B.S. and in 2000 with an MS, both in Electrical Engineering. He received his PhD in Electrical Engineering from The Ohio State University in June of 2004. His research area was in the field of image and video processing, specifically in From 2002 to 2006, Dr. Balster worked in the Information Directorate, Air Force Research Laboratory (AFRL), From 2006 to 2008, he worked in the AFRL’s Sensor’s Directorate, serving as the lead aircraft software development and support engineer for a wide-area persistent surveillance program. Since August 2008, Dr. Balster has worked as an assistant Professor at the University of Dayton where he continues research in image processing and aerial surveillance processing research.
Partha P. Banerjee Professor PhD University of Iowa, 1983 Areas of research interest: Nonlinear optics, photorefractives, information processing, acousto-optics.
Biography: Dr. Partha P. Banerjee received the Bachelor of Engineering in Electronics and Telecommunication Engineering from Indian Institute of Technology, Kharagpur, India in 1979. He received the MS and PhD degrees in Electrical and Computer Engineering from the University of Iowa, I 1980 and 1983 respectively. He served as a faculty member at the University of Alabama in Huntsville from He is the recipient of the NSF Presidential Young Investigator Award in 1987. He is Fellow of the Optical Society of America and of SPIE, and is a senior member of IEEE. To date he has over 80 refereed journal publications and is the coauthor of 3 textbooks.
Monish Chatterjee Professor PhD, University of Iowa, 1985 Areas of research interest: Acousto- optics, optical bistability and chaos, holography, nonlinear system modeling, wave propogation Biography: Monish R. Chatterjee received the B.Tech (Hons) degree in Electronics and Communications Engineering from I.I.T., Kharagpur, India, in 1979. He received the MS and PhD degrees, both in Electrical and Computer Engineering, from the University of Iowa, Iowa City, Iowa, in 1981 and 1985 respectively. Dr. Chatterjee served as a visiting faculty at the University of Iowa for one year before joining the ECE faculty at Binghamton University, the State University of New York, and conducted teaching and research from 1986 through 2002. In fall 2002, Dr. Chatterjee joined the University of Dayton’s ECE department Dr. Chatterjee has published numerous essays, correspondences, and three books of translation from his native Bengali. He received the State University of New York’s Chancellor’s Award for Excellence in Teaching in 2000. He is a Senior Member of IEEE, and a member of OSA, ASEE and Sigma Xi.
Malcolm Daniels Associate Professor PhD, University of Strathclyde, 1982 Areas of research interest: Automatic Control, Electrical Machines Biography: Malcolm Daniels received his B.Sc. in Electrical and Electronic Engineering from University of Strathclyde in 1979, and his PhD in 1982 from the same University. Before joining UD, he was lecturer in Heriott-Watt University in Edinburgh from 1987-1989, and a senior research engineer/research fellow at the University of Strathclyde.
Bradley D. Duncan Professor PhD, Virginia Tech, 1991 Areas of research interest: Ladar system analysis and design, fiber optic sensing/communications, optical waveguide transmission applications, photorefractive device and system design, scanning and nonlinear optical image processing, non-destructive evaluation and holography.
Biography: Bradley D. Duncan received the Bachelor of Science in Electrical Engineering (BSEE) Degree in 1986 from Virginia Tech. He received the MS and PhD degrees in Electrical Engineering, also from Virginia Tech, in 1988 and 1991 respectively. Dr. Duncan has been with the University of Dayton since August 1991. He holds a joint appointment with the Department of Electrical & Computer Engineering, and the graduate Electro-Optics Program. He is a Senior Member of IEEE.
Elena Guliants Professor PhD, State University of New York at Buffalo, 2000 Areas of research interest: Solid State Physics, Semiconductor Materials Growth and Characterization, Thin-film Electronic Devices and Microelectronic Fabrication, Nanoelectronics and Nanostructured Sensors, Photovoltaics.
Biography: Dr. Elena Guliants has 15 years of research experience in electronic materials and devices and seven years in the emerging areas of nanoscience and nanotechnology. She has authored over 50 technical publications and presentations and developed a new graduate course on Nanoelectronics. Dr. Guliants supervises MS and PhD students from the School of Engineering.
Russell C. Hardie Professor PhD, University of Delaware, 1992 Areas of research interest: Digital Signal and Image Processing, Statistical Signal Processing, Pattern Recognition, Medical Image Processing.
Biography: Russell C. Hardie graduated Magna Cum Laude from Loyola College in Baltimore Maryland in 1988 with a B.S. degree in Engineering Science. He obtained an MS and PhD degree in Electrical Engineering from the University of Delaware in 1990 and 1992, respectively. Dr. Hardie served as a Senior Scientist at Earth Satellite Corporation in Maryland prior to his appointment at the University of Dayton in 1993. He is currently a Full Professor in the Department of Electrical and Computer Engineering and Along with several collaborators, Dr. Hardie received the Rudolf Kingslake Medal and Prize from SPIE in 1998 for work on multi-frame image resolution enhancement algorithms. Dr. Hardie recently received the University of Dayton’s top university-wide teaching award, the 2006 Alumni Award in Teaching. In 1999, he received the School of Engineering Award of Excellence in Teaching at the University of Dayton and was the recipient of the first annual Professor of the Year Award in 2002 from the student chapter of the IEEE at the University of Dayton. His research interests include a wide variety of topics in the area of digital signal and image processing. His research work has focused on image enhancement and restoration, pattern recognition, and medical image processing. He is currently a senior member of IEEE.
Keigo Hirakawa Assistant Professor PhD, Cornell University, 2005 Areas of research interest: Signal and Image Processing, Statistics, Color Image Processing, Digital Camera Processing Pipeline, 3D Image Reconstruction and Display Biography: Prof. Hirakawa has published in the literature of engineering, computer science, and statistics. He has received a number of recognitions, including a paper award from IEEE and keynote speeches at IS&T CGIV, PCSJ- IMPS, and CSAJ. He has strong track record of collaborating with industry partners. His book, “Digital Camera Processing Pipeline” is scheduled to be published by John Wiley & Sons Inc next year. His research focuses on algorithmic development of image processing, computer vision, biomedical imaging, and sensor designs. He is best known for his expertise in digital camera designs, and his contributions span color science, estimation theory, statistical modeling, and wavelet theory.
John Loomis Associate Professor PhD, University of Arizona, 1980 Areas of Research Interest: Image Processing, Computer Graphics, Machine vision, Optical Design and Testing, Interferometry, Ellipsometry.
Dayton from 1985 to present. He is also a research optical Don Moon Professor Ph.D, Ohio State University, 1974 Areas of research interest: Digital Systems and Computer Architectures, Electro-Optic Displays Biography: Dr. Moon’s engineering career spans approximately 45 years (29 years as a full-time professor, 11 years as a research/supervisory engineer for the U.S. Air Force and about 5 years in industry). During this period he had several academic positions, culminating in professor, department chairman and his former position as the Associate Dean of Engineering. He is a Senior Member of the IEEE in which his activities include the Dayton Group on Signal Processing (Chairman, 1985); Dayton Section (Chairman, Vice- Chairman, Treasurer, Secretary, 90-93.). Dr. Moon is a former member of the IEEE’s National AESS Board of Governors where he has served as: Business Editor, Transactions on AESS, 1989-93; Chairman, National Education Committee on AESS, 1991-1996; Vice-President, Conferences, 1992-1995. Dr. Moon has worked extensively on funded research, as a consultant, and is recognized for professional contributions and abilities (“Excellence in Teaching” Award, NSF Fellow, Eta Kappa Nu Honoree, IEEE Service Recognition Award, Who’s Who in the Midwest, American Men and Women of Science).
Raúl Ordóñez Associate Professor PhD, Ohio State University, 1999 Areas of research interest: Control systems, nonlinear and adaptive control, robotics, multi-vehicle coordination, aircraft control and other control applications Biography: Raúl Ordóñez received his M.S. and Ph.D. in electrical engineering from the Ohio State University in 1996 and 1999, respectively. He spent two years as an assistant professor in the department of electrical and computer engineering at Rowan University, and then joined the ECE department at the University of Dayton, where he has been since 2001 and is now an associate professor. He has worked with the IEEE Control Systems Society as a member of the Conference Editorial Publicity Chair for the 2001 International Symposium on Intelligent Control; member of the Program Committee and Program Chair for the 2001 Conference on Decision and Control; Publications Chair for the 2008 IEEE Multi- conference on Systems and Control. Dr. Ordóñez is also serving since 2006 as Associate Editor for the control journal Automatica. He is a coauthor of the textbook Stable Adaptive Control and Estimation for Nonlinear Systems: Neural and Fuzzy Approximator Techniques, (Wiley, 2002); he is also co-author of the research monograph Extremum Seeking Control and Applications – A Numerical Optimization Based Approach (Springer, 2012). He worked between 2001 and 2007 in the research team of the Collaborative Center for Control Science (CCCS), funded by AFRL, AFOSR and DAGSI at the Ohio State University. Dr. Ordóñez received a Boeing Welliver faculty fellowship in 2008.
Robert P. Penno Associate Professor PhD, University of Dayton, 1987 Areas of research interest: Antenna and Electromagnetic Field Theory, Array Signal Processing with applications to Passive Direction Finding, Simulation of Radar Signals Biography: Robert Penno received the Bachelor of Science in Mechanical Engineering and Master of Science in Electrical Engineering from Rose Hulman Institute of Technology, Terre haute, Indiana in 1971 and He is a Senior Member of IEEE, and a member of the Sigma Xi Scientific Research Society. Dr. Penno has twice been selected as “Engineering Professor of the Year” by Epsilon Delta Tau, the student engineering fraternity at the University of Dayton. He has twice been a finalist for the Dr. Samuel Burka Award, the highest civilian award granted by the USAF for scientific research.
Andrew Sarangan Professor PhD, University of Waterloo, Canada, 1997 Areas of research interest: Micro and Nano-fabrication, Infrared Imaging, Optical Thin Films and Nanomaterials, Semiconductor lasers, Photodetetors, Computational Electromagnetics Biography: Biography: Andrew Sarangan has been with the University of Dayton since 2000, where he has been principal investigator of research projects totaling more than $2.5M. He built and currently operates the nanofabrication laboratory. Prior to joining UD, he was at Nortel Networks in Air Force Research Laboratory at Kirtland AFB. He has authored over 70 publications and conference proceedings and four U.S. patent disclosures, and received the Sigma-Xi Andrew is a Senior Member of IEEE, and serves as the chair of the Dayton chapter of IEEE’s Photonics Society.
Frank Scarpino Professor PhD, University of Dayton, 1987 Areas of research interest: Digital Systems, Software, Computer Systems, Signal Processing.
Biography: Frank Scarpino received his PhD in Electrical Engineering, University of Dayton, Dayton Ohio, 1987, and his MSEE and BSEE degrees from , University of Cincinnati in 1970 and 1963, respectively. He was Division Manager of Research and Development, Flight Control Division, Wright Patterson AFB, Ohio, 1985 and 1986. Prior to this, he was Division Manager, Systems Division, R&D, Air Force Avionics Laboratory, Wright Patterson AFB from 1982- 1985. He was a Senior Engineer and Program Manager at Air Force Avionics laboratory from 1973-1978, and the Department Manager, Microcomputer & Digital Communications Development, NCR Corporation from 1966-1973.
Tarek Taha Associate Professor PhD, Georgia Institute of Technology, 2002 Areas of Interest: Computer Architecture, Novel Computing Systems for Neuromorphic systems, High Performance Computing Biography: Dr. Tarek M. Taha received the B.S. degree in pre-engineering from Depauw University, Greencastle, in 1996, and the B.S.E.E., MSE.E., and Ph.D degrees in electrical engineering from the Georgia Institute of He received the NSF CAREER Award in 2007 and is a member of the IEEE Computer Society.
Guru Subramanyam Professor and Chair PhD, University of Cincinnati, 1993 Areas of research interest: Electronic & Electro-optic Materials, Devices and Sensors, and Microwave Circuit Design.
Biography: Guru Subramanyam received the Bachelor of Engineering Degree in Electrical and Electronics Engineering from the University of Madras in 1984, with Distinction. He received the MS and PhD degrees in Electrical Engineering from the University of Cincinnati, in 1988 and 1993 respectively. Prior to joining UD, he served as a faculty member at the University of Northern Iowa, Cedar Falls, Iowa from August 93 to May 98. He is currently a Senior Member of IEEE. He is also the counselor for the IEEE student branch at UD. His research to date has been supported by NASA, NSF, AFRL, AFOSR, and DARPA. He received UD’s Alumni Award for Excellence in Scholarship in 2008. Dr. Subramanyam’s research in integrated ferroelectrics has resulted in many patent filings. He had authored/co-authored over 100 publications.
John Weber Professor Areas of research interest: Embedded Systems, Computer Architecture, Avionic Systems Biography: John Weber obtained his Louis University in 1963, and his MS and PhD in Electrical Engineering from the University of Missouri in 1964 and 1971, respectively. He has served in the US Air Force from 1963-1979. He has a wide industrial experience. Most recently, he was vice-president and chief technology officer at Greystone Technology. His responsibilities included the development of new hardware platforms and software experiences for the entertainment industry, the development of simulation software and hardware for the government sector, and the development of commercial GPS based products.
Qiwen Zhan Associate Professor Ph. D., University of Minnesota, 2002 Areas of research interest: Nanophotonics, Biophotonics, Polarization sensing and engineering, Wavefront sensing and engineering Biography: Prof. Qiwen Zhan received his BS degree in physics (optoelectronics) from the University of Science and Technology of China (USTC) in 1996 and PhD in Electrical Engineering from the University of Minnesota in 2002. After he joined the University of Dayton in 2002, he established the Nano Electro-Optics Laboratory and developed a microellipsometry system and a new near-field scanning optical microscope (NSOM). Currently, Dr. Zhan is an assistant professor at the Electro-Optics Graduate Program of the University of Dayton and the PI of the Nano Electro- Optics Laboratory in the Center for Materials Diagnostics (CMD).
MASTER MILESTONES Thesis Route Prior to the beginning of 1st semester………………………… See the temporary advisor for course registration Before the end of 2nd semester……………………………….. File plan of study Before registering for thesis……………………………………Select thesis advisor During graduating semester By the 4th week……………………………. File application for graduation Appoint a thesis committee No later than mid-semester………………… Complete thesis writing Have advisor approve thesis draft 2 weeks before defense……………………. Submit thesis to the committee Set date and time for defense Request department for room At final exam………………………………. Successful thesis defense 2 weeks prior to graduation.………………….Submit electronic copy of thesis to OhioLink Non-Thesis Route Prior to beginning of 1st semester…………………………….. See the temporary advisor for course registration Before the end of 2nd semester………………………………. File plan of study During graduating semester By the 4th week…………………………… File application for graduation DOCTORAL MILESTONES
ECE PhD Candidacy Exam at a Glance Candidacy Exam – form committee -? plan of study Preliminary Exam (PE) Qualifying Exam (QE) Dissertation Proposal Defense (DPD) Dissertation Defense (DD)
12 course credits 18 course credits at most 12 dissertation credits
at least 6 dissertation credits at least12 dissertation credits
Frequently Asked Questions 1. I received my Masters degree from UD. Must I take more preliminary exam classes (PEC)? a. All students are required to complete 12 course credits hours at the PhD level prior to PE. b. Students who completed 4 PECs (or equivalent) during Masters at UD may apply for a PE waiver using PECs from their MS degree. The ECE Graduate Program Committee evaluates the waiver application. The GPA in the four PECs used in the waiver application must be 3.5 or greater for the waiver to be granted.
2. I received my Masters degree from another university. Must I take more preliminary exam classes (PEC)? a. All students are required to complete 12 course credits hours at the PhD level prior to PE. b. Students who completed 4 PECs (or equivalent) during Masters at another university may apply for a PE waiver using PECs from their MS degree. The waiver is granted if the student has a UD GPA of 3.5 or higher, and the combined GPA of four PECs (taken at UD or elsewhere) is 3.5 or higher.
a. Students must prove that the course is critical for their research work. b. Approval by the student’s DAC chair is required.
4. What will I need to do if I deviate from dissertation credit timeline? b. Students must complete at least 6 dissertation credits before DPD, and at least 12 dissertation credits after DPD.
ECE GRADUATE AREAS AT A GLANCE Computing Systems (Signals)and)Systems) Area))
*ECE503!Adv!Eng!Prob! *ECE509!Lin!Sys! *ECE561!Sig!Proc! ECE563!Imag!Proc!
Systems’ *ECE501!Digital!Design! ECE!532!Embedded!Systems! ECE536!Microprocessor!Apps! ECE637!Concurrent!Proc! VLSI’ ! ECE581!Intro!to!Nanoelec! ECE682!Nano?fab!Lab!
*ECE506!Microel!Dev! ECE573!EO!Dev!and!Sys! ECE676!Quant!Elec! *ECE531!Microelec!Sys! ECE632!Cont!Microel!Des! ! ! Programming’ ! Computer’Architecture’ ECE538!OOP!Apps! ! *ECE533!Comp!Des! ECE636!Adv!Comp!Arch!
Preliminary Exam Courses ECE501 ECE503 ECE531 ECE533 ECE536 Sensors and Devices
Micro&and&Nano&Devices& Op#cs& ! ECE574!Guided!Wave!Opt! ECE577!EO!Systems!Lab! ECE674!Integrated!Opt! !
*ECE507!EM!Fields! EM&Fields& ! ECE510!MW!Eng!&!Sys! ECE511!Antennas! ECE518!EM!Fields!II! *ECE506!Microel!Dev! ECE573!EO!Dev!and!Sys! ECE676!Quant!Elec! ECE583!Photovoltaics!
*ECE572!Lin!Sys!&!FO! *ECE509!Lin!Sys! *ECE561!Sig!Proc! ECE563!Imag!Proc! ! ECE581!Intro!to!Nanoelec! ECE682!NanoDfab!Lab! ECE515!Mats!in!green!energy!
Signals and Systems Signal’Processing’ ECE564!Comp!Vision! ! ECE563!Image!Proc! ECE662!Adap4ve!SP! *ECE509!Lin!Sys! *ECE561!Sig!Proc! ECE567!Machine!Learning! Control’and’Automa4on’ ! ECE545!Automa4c!Control! *ECE547!NL!Systems!and!Cont! ECE642!Op4mal!Cont! ECE645!Adap4ve!Cont!
ECE661!(Sta4s4cal!SP)![JM]! ECE663!(Stat!PaP!Rec)![JM,!RH]! Detec4on/Es4ma4on’ ! ECE601!Random!Proc!
Preliminary Exam Courses ECE503 ECE509 ECE521 ECE547 ECE561 ECE603!Detect!and!Est!
Comm’Theory’ ! *ECE503!Adv!Eng!Prob! *ECE521!Digital!Comm!I! ECE522!Digital!Comm!II! ECE523!Satellite!Comm!
These three charts give a “bird’s eye” overview of the entire graduate curriculum in the ECE department. Their purpose is to help you, the student, understand the relationships between different areas of study, and also to help you choose your curriculum and define a well thought-out Plan of Study, in consultation with your MS or PhD advisor. By highlighting the relationship between different parts of the ECE graduate curriculum, these charts will also be helpful when your area of research is interdisciplinary in nature.
It is important to note that only the ECE curriculum is shown here, but you will want to keep in mind how your area of study can benefit from coursework in other departments, such as Mathematics and Computer Science. Use these charts to create a draft of your Plan of Study, then finalize it in consultation with your advisor.