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Education |
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EDUC 859 - Ethnographic Research Credit(s): 3
ETHNOGRAPHIC RESEARCH
Component: Lecture
Ethnographies provide descriptive and interpretive analyses of cultural practices and social organization in everyday settings. Students in this course learn how to conduct ethnographic fieldwork. Students formulate research questions act as participant-observers, write field notes, interview participants and conduct rudimentary data analysis. Students also discuss dilemmas faced by ethnographic researchers.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
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EDUC 862 - Randomized Trials in Education Credit(s): 3
RANDOMIZED TRIALS IN EDUCATION
Component: Lecture
This course focuses on modern techniques for randomized experiments in multilevel education settings (e.g., students and teachers in classrooms, schools, and/or districts) and covers key issues for experimental research subjected to the standards set by the US Department of Education’s What Works Clearinghouse.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
PREREQ: EDUC 856 and EDUC 873 .
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EDUC 863 - Program Evaluation in Education Credit(s): 3
PROGRAM EVALUATION IN EDUC
Component: Lecture
Focuses on models, theories and practice of program evaluation and applied research in education. Topics include experimental and quasi-experimental designs, validity, political and ethical issues of evaluation and the implementation and practice of process and outcome program evaluation.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
PREREQ: EDUC 827 , EDUC 665 , or equivalent introductory statistics course; and EDUC 846 , EDUC 850 or equivalent introductory qualitative methods course.
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EDUC 865 - Educational Measurement Theory Credit(s): 3
EDUCATIONAL MEASUREMENT THEORY
Component: Lecture
Focuses on both classical and modern test theory including scaling, scoring, reliability, validity, generalizability theory, bias, item analysis, item response theory and equating with applications to norm-referenced and criterion-referenced assessment frameworks.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
PREREQ: EDUC 665 or equivalent
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EDUC 866 - SPECIAL PROBLEM Credit(s): 1-12
SPECIAL PROBLEM
Component: Independent Study
Repeatable for Credit: Y Allowed Units: 99 Multiple Term Enrollment: Y Grading Basis: Student Option
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EDUC 867 - SEMINAR Credit(s): 1-12
SEMINAR
Component: Lecture
Repeatable for Credit: Y Allowed Units: 99 Multiple Term Enrollment: Y Grading Basis: Student Option
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EDUC 868 - Research Credit(s): 1-6
RESEARCH
Component: Research
Repeatable for Credit: Y Allowed Units: 6 Multiple Term Enrollment: N Grading Basis: Student Option
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EDUC 869 - Master’s Thesis Credit(s): 1-6
MASTER’S THESIS
Component: Independent Study
Repeatable for Credit: Y Allowed Units: 6 Multiple Term Enrollment: Y Grading Basis: Student Option
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EDUC 870 - Child Neuropsychology Credit(s): 3
CHILD NEUROPSYCHOLOGY
Component: Lecture
Examines approaches to neuropsychological assessment and application to childhood learning and neurodevelopmental disorders.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
RESTRICTIONS: Requires permission of instructor.
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EDUC 873 - Multilevel Models in Education Credit(s): 3
MULTILEVEL MODELS IN EDUCATION
Component: Lecture
Introduction to multilevel modeling. Considers the analysis of growth and change as a special case of multilevel modeling.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
PREREQ: EDUC 812 and EDUC 856 , or equivalent.
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EDUC 874 - Applied Multivariate Data Analysis Credit(s): 3
APPLIED MULTIVAR DATA ANALYSIS
Component: Lecture
Introduces applied use of multivariate models of data analysis. Topics include multiple regression, logistic regression, discriminant function analysis, MANOVA, and exploratory factor analysis.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
PREREQ: Graduate level general statistics course.
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EDUC 878 - Topics in Education Credit(s): 3
TOPICS IN EDUCATION
Component: Lecture
Covers advanced topics in education for doctoral students. Topics vary with instructor.
Repeatable for Credit: Y Allowed Units: 12 Multiple Term Enrollment: Y Grading Basis: Student Option
Course Typically Offered: Fall, Winter, Spring, Summer
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EDUC 879 - Internship in Education Credit(s): 3-9
INTERNSHIP IN EDUCATION
Component: Internship
Supervised, on-the-job experience in one specific area of education (i.e., administration, guidance, etc.), in which such internships are required as a part of graduate degree programs.
Repeatable for Credit: Y Allowed Units: 9 Multiple Term Enrollment: N Grading Basis: Student Option
RESTRICTIONS: Credit during any semester varies according to the time spent in internship.
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EDUC 880 - Education Leadership Portfolio I Credit(s): 4
EDUC LEADERSHIP PORTFOLIO I
Component: Independent Study
Focuses on identifying focus of inquiry of the portfolio, including a problem statement and set of artifacts that reflect different approaches to addressing the problem.
Repeatable for Credit: N Allowed Units: 4 Multiple Term Enrollment: N Grading Basis: Pass/Not Pass
PREREQ: Completion of all required Ed.D. core courses and electives. RESTRICTIONS: Restricted to Ed.D. students.
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EDUC 881 - Education Leadership Portfolio II Credit(s): 4
EDUC LEADERSHIP PORTFOLIO II
Component: Independent Study
Focuses on completing a set of artifacts that reflect different approaches to addressing the focus of inquiry.
Repeatable for Credit: N Allowed Units: 4 Multiple Term Enrollment: N Grading Basis: Pass/Not Pass
PREREQ: Completion of all required Ed.D. core courses and electives and successful completion of EDUC 880 . RESTRICTIONS: Restricted to students in the Ed.D. program.
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EDUC 882 - Education Leadership Portfolio III Credit(s): 2
EDUC LEADERSHIP PORTFOLIO III
Component: Independent Study
Focuses on completing a set of artifacts that reflect different approaches to addressing the focus of inquiry and a final reflection essay.
Repeatable for Credit: Y Allowed Units: 4 Multiple Term Enrollment: Y Grading Basis: Pass/Not Pass
PREREQ: Completion of all required Ed.D. core courses and electives and successful completion of EDUC 880 and EDUC 881 . RESTRICTIONS: Restricted to students in the Ed.D. program.
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EDUC 884 - Advanced Research Design for Causal Inference Credit(s): 3
ADVANCED RESEARCH DESIGN
Component: Lecture
Doctoral-level course on advanced research design and analysis for causal inference. Topics include internal/external validity, potential outcomes, fixed effects, true/quasi-experiments, propensity-score, mediation/moderation, longitudinal designs and more. Students will author an original empirical article suitable for publication based on secondary data.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
RESTRICTIONS: Students enrolling in this course should have a strong methodological foundation evidenced by prior success in at least one intermediate and one advanced quantitative methods course.
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EDUC 888 - Doctoral Internship in School Psychology Credit(s): 3-6
DOCTORAL INTERNSHIP:SCHL PSYC
Component: Internship
Full-time internship in school settings under supervision. Final field-based experience for doctoral students in which they integrate and apply skills learned throughout their course of study.
Repeatable for Credit: Y Allowed Units: 6 Multiple Term Enrollment: N Grading Basis: Student Option
RESTRICTIONS: By permission of instructor only; enrollment limited to school psychology PhD students who have completed their course work.
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EDUC 890 - Leadership: Theory and Research Credit(s): 3
LEADERSHIP:THEORY AND RESEARCH
Component: Lecture
Theories and research relating to leadership and management style. Fundamental principles of leadership as viewed from the fields of philosophy, sociology, psychology and applied behavioral science are discussed. Emphasis on analysis of personal style.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
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EDUC 891 - Organizational Problem Analysis and Planning in Education Credit(s): 3
ORG PROB ANALYSIS/PLAN IN EDUC
Component: Lecture
Focuses on the theory, research, and practice of organizational change and problem-solving in educational contexts.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
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EDUC 897 - Curriculum Planning and Design Credit(s): 3
CURRICULUM PLANNING & DESIGN
Component: Lecture
Focuses on the planning, design, and delivery of curriculum in diverse educational settings.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
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EDUC 964 - Pre-Candidacy Study Credit(s): 3-12
PRE-CANDIDACY STUDY
Component: Independent Study
Research and readings in preparation of dissertation topic and/or qualifying examinations for doctoral students before admission to candidacy but after completion of all required course work.
Repeatable for Credit: Y Allowed Units: 12 Multiple Term Enrollment: N Grading Basis: Pass/Not Pass
RESTRICTIONS: Not open to students who have been admitted to candidacy.
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EDUC 968 - RESEARCH Credit(s): 3-9
RESEARCH
Component: Research
Repeatable for Credit: Y Allowed Units: 9 Multiple Term Enrollment: Y Grading Basis: Student Option
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EDUC 969 - Doctoral Dissertation Credit(s): 1-12
DOCTORAL DISSERTATION
Component: Independent Study
Repeatable for Credit: Y Allowed Units: 12 Multiple Term Enrollment: Y Grading Basis: Pass/Not Pass
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Education Library Media |
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EDLM 621 - Reference Services and Resources Credit(s): 3
REFERENCE SRVS & RESOURCES
Component: Lecture
Explores and evaluates the role of information in our society and the range of reference materials supporting the school library media program. Includes the use of print and electronic systems, reference procedures, and instructional role of information in the school curriculum.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
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EDLM 622 - Introduction to Cataloging and Classification Credit(s): 3
CATALOGNG & CLASSIFICATN
Component: Lecture
Explores and evaluates standardized cataloging and classification systems with special emphasis on the organization of the school library media center. Topics include: Anglo-American Cataloging Rules; Library of Congress Subject Headings; and Dewey Decimal Classification.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
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EDLM 625 - School Library Media Program Administration Credit(s): 3
SCHOOL LIBRARY MEDIA PROG ADMN
Component: Lecture
Explores and evaluates administration and management of school library media center. Topics include: planning and evaluation; policy making; personnel; budget; facilities; standards; research trends in area.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
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EDLM 628 - School Library Media Program Curriculum Credit(s): 3
SCHOOL LIBRARY MEDIA CURRICULU
Component: Lecture
Explores the role of the school library media program in meeting information literacy and other education standards. Topics include information literacy, state education standards, advocacy, instructional technology and collaboration.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
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EDLM 667 - SEMINAR Credit(s): 1-12
SEMINAR
Component: Lecture
Repeatable for Credit: Y Allowed Units: 99 Multiple Term Enrollment: Y Grading Basis: Student Option
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Electrical Engineering |
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ELEG 566 - SPECIAL PROBLEM Credit(s): 1-12
SPECIAL PROBLEM
Component: Independent Study
Repeatable for Credit: Y Allowed Units: 99 Multiple Term Enrollment: Y Grading Basis: Student Option
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ELEG 567 - SEMINAR Credit(s): 1-12
SEMINAR
Component: Lecture
Repeatable for Credit: Y Allowed Units: 99 Multiple Term Enrollment: Y Grading Basis: Student Option
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ELEG 601 - Convex Optimization Credit(s): 3
CONVEX OPTIMIZATION
Component: Lecture
This course provides a comprehensive coverage of both the theoretical foundation and numerical algorithms for convex optimization. The main objectives of this course are to give students the tools and training to recognize convex optimization problems that arise in applications, and to present the basic theory of such problems as well as how to solve them numerically.
Topics covered in this course include: Convex sets, functions, and optimization problems; Basics of convex analysis; Least-squares, linear and quadratic programs, semidefinite programming, minimax; Optimality conditions, duality theory, theorems of alternative; Descent methods, Newton’s method, interior-point method; Applications.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
RESTRICTIONS: Knowledge on linear algebra (e.g. MATH 351) and probability theory (e.g. ELEG 310); mathematical maturity in general.
Course Typically Offered: Fall
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ELEG 602 - Advanced Machine Learning Credit(s): 3
ADVANCED MACHINE LEARNING
Component: Lecture
This advanced course on machine learning features an in-depth treatment of modern learning theory and emphasizes its interplay with real-world learning algorithms. The main goal of this course is to get students started in research, in particular, to help them transition from knowing how to implement towards exploring why to do this and how to do better. Students will carry out research projects, and the hope is that some of these projects will result in research papers that can be published in top machine learning venues.
Major topics covered include the following. PAC Learning Framework: Empirical Risk Minimization.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
RESTRICTIONS: Exposure to a first course on machine learning (e.g. ELEG/FSAN 815), or knowledge on probability theory (e.g. ELEG 310) and linear algebra (MATH 351); mathematical maturity in general.
Course Typically Offered: Spring
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ELEG 604 - Digital Imaging and Photography Credit(s): 3
DIGITAL IMAGING & PHOTOGRAPHY
Component: Lecture
Introduction to the scientific and computational aspects of digital photography and imaging. Topics include lenses and optics, light and sensors, optical effects in nature, depth of field, sampling and noise, the camera as a computing platform, image processing, and computational photography. We describe fundamental mathematical tools for sampling, visual perception, color spaces, Fourier analysis and representation, restoration, computer tomography, 3D imaging, and compression algorithms.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
PREREQ: ELEG305 or equivalent.
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ELEG 606 - Ocean and Atmosphere Remote Sensing Credit(s): 3
OCEAN&ATMOSPHERE REMOTE SENSNG
Component: Lecture
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Crosslisted: Crosslisted with MAST 606 .
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ELEG 614 - Basic Electrical Machines and Power Credit(s): 1
BASIC ELECTRICAL MACHINES
Component: Lecture
Allowed Units: 1 Multiple Term Enrollment: N Grading Basis: Student Option
RESTRICTIONS: No ELEG or CPEG majors may take the course.
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ELEG 615 - Electric Power Systems Credit(s): 3
ELECTRIC POWER SYSTEMS
Component: Lecture
Introduction to electric power systems and interfaces with energy sources. Covers electric power generation, transmission, distribution; residential, commercial, and industrial systems; components, operation, losses, metering and load management.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Course Typically Offered: Fall
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ELEG 616 - Statistical Physics and Thermodynamics Credit(s): 3
STATISTICAL PHYSCS AND THRMDYN
Component: Lecture
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Crosslisted: Crosslisted with PHYS 616 .
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ELEG 617 - The Smart Grid Credit(s): 3
THE SMART GRID
Component: Lecture
An examination and analysis of smart grid technologies, applications, and transformational impacts on the electric utilities. Topics include smart grid fundamentals, objectives, technologies (power, communications and information), architectures, applications, evolution, and implementation challenges.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Course Typically Offered: Fall
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ELEG 620 - Photovoltaic Materials and Devices Credit(s): 3
PHOTOVOLTAIC MATERIALS/DEVICES
Component: Lecture
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Course Typically Offered: Spring
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ELEG 621 - Linear Systems Credit(s): 3
LINEAR SYSTEMS
Component: Lecture
State-space analysis of linear dynamical systems. Solution of state-space equations, and analysis of structural system properties based on eigenvalues and eigenvectors. Similarity transformations and decompositions. Lyapunov stability. Observability and controllability. State feedback control design.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Crosslisted: Crosslisted with MEEG 621 . PREREQ: MATH349 or MATH351 or graduate status.
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ELEG 622 - Electronic Materials Processing Credit(s): 3
ELECTRONIC MATRLS PROCESSING
Component: Lecture
Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
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ELEG 625 - Characterization of Electronic Mat & Dev Credit(s): 3
CHARACTERIZATION ELEC MTLS DEV
Component: Lecture
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Crosslisted: Crosslisted with MSEG622.
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ELEG 628 - Solar Energy Technology and Application Credit(s): 3
SOLAR ENERGY TECH & APP
Component: Lecture
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
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ELEG 630 - Information Theory Credit(s): 3
INFORMATION THEORY
Component: Lecture
Information theory establishes the theoretical limits that can be achieved in communications systems, and provides insights about how to achieve these limits in practical systems. Covers lossless and lossy compression, and studies the maximum information rate achievable in communications over noisy channels.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
PREREQ: Undergraduate course in probability.
Course Typically Offered: Spring
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ELEG 631 - Digital Signal Processing Credit(s): 3
DIGITAL SIGNAL PROCESSING
Component: Lecture
Theory of discrete-time signals and systems with emphasis on the frequency domain description of digital filtering and discrete spectrum analysis, fast Fourier transform, z-transform, digital filter design, relationship to analog signal processing. domain description of digital filtering and discrete spectrum analysis, fast Fourier transform, z-transform, digital filter design, relationship to analog
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Course Typically Offered: Fall
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ELEG 632 - Mathematical Methods for Signal Processing Credit(s): 3
MATH METHODS FOR SIGNAL PROC
Component: Lecture
Provides the mathematical foundation for advanced studies in information processing. In addition, Matlab and Simulink, tools commonly used by electrical and other engineers, are introduced in the context of assisting in solving the mathematical problems. Examines differential equations and matrix and linear algebra. Solution to both linear and non-linear ordinary differential equation are found analytically and with Matlab. For problems without analytical solutions, numerical ones are sought using Simulink.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
PREREQ: Must be a graduate of an accredited undergraduate engineering program.
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ELEG 633 - Image Processing Credit(s): 3
IMAGE PROCESSING
Component: Lecture
Fourier transform, z-transform, digital filter design, relationship to analog
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
RESTRICTIONS: Requires permission of instructor.
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ELEG 634 - Signals and Systems Credit(s): 3
SIGNALS AND SYSTEMS
Component: Lecture
Reviews basic concepts of discrete and continuous time signals, control
systems, and linear algebra. Transforms, sampling, aliasing, linear algebra
and systems of equations, matrix factorizations, eigenvalues and eigenvectors,
least squares, and the Cayley-Hamilton theorem are studied.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
PREREQ: ELEG305 and MATH342 or MATH349 or equivalents
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ELEG 635 - Digital Communication Credit(s): 3
DIGITAL COMMUNICATION
Component: Lecture
The theory and applications of digital communications including modulation,
pulse shaping, and optimum receiver design for additive white gaussian noise
and bandlimited channels.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
PREREQ: Undergraduate course in probability, signals and linear systems
Course Typically Offered: Fall
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ELEG 636 - Statistical Signal Processing Credit(s): 3
STATISTICAL SIGNAL PROCESSING
Component: Lecture
Introduction to random vectors and random processes and second-order moment
and spectral characterizations. Linear transformations of stationary
processes. Parameter estimation. Orthogonality principle and optimal linear
filtering. Levison recursion and lattice prediction filters. AR and ARMA
models and their Yule-Walker characterizations. Classical and modern spectrum
estimation.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
PREREQ: Undergraduate courses in probability and signals and linear systems
Course Typically Offered: Spring
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ELEG 637 - Energy Systems Credit(s): 3
ENERGY SYSTEMS
Component: Lecture
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
RESTRICTIONS: Freshman level calculus.
Course Typically Offered: Fall
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ELEG 640 - Opto-electronics Credit(s): 3
OPTO-ELECTRONICS
Component: Lecture
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
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ELEG 641 - Antenna Theory and Design Credit(s): 3
ANTENNA THEORY AND DESIGN
Component: Lecture
The radiation characteristics of antennas, numerical and analytical antenna
analysis methods and design techniques for many types of antenna. Topics
include wire antennas, antenna arrays, broadband antennas and microstrip
antennas.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
PREREQ: ELEG320 or ELEG413.
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ELEG 642 - RF Systems Engineering for Wireless & Mobile Communications Credit(s): 3
RF SYS ENGR WIRELESS MOBILE CM
Component: Lecture
This course present a systems approach to designing RF systems for wireless and mobile communications. It covers topics including: (1) A review of Electromagnetics, (2) Transmission line theory with Smith Charts, (3) RF and Microwave Sources, (4) RF Amplifiers (discuss classes of amplifiers and the effects of noise figure, compression and non-linearities), (5) RF Mixer design (discuss types and figures of merit, including conversion loss, harmonic distortion, etc.), (6) RF Filter Design (overview of first and higher order filters), (7) Analog-to-Digital as well as Digital-to-Analog Converters, (8) Noise (cover the origin of thermal noise, shot and flicker noise as well as others in the context of probability theory), (9) Antennas (brief overview in the context of their input impedance and bandwidth from a systems perspective), (10) Atmospheric and environmental considerations of signal propagation and loss, (11) RF Photonics, and (12) Applications including: computing networks, wireless communications, Radar, and electronic sensing
Repeatable for Credit: Y Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
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ELEG 646 - Nanoelectronic Device Principles Credit(s): 3
NANOELECTRONIC DEVICE PRINCIPL
Component: Lecture
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Course Typically Offered: Spring
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ELEG 647 - Optical Properties of Solids Credit(s): 3
OPTICAL PROPERTIES OF SOLIDS
Component: Lecture
Techniques for the design of optical filters and optoelectronic devices with thin films and the fundamental electromagnetic and solid state physics that determine the optical properties of solids.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
RESTRICTIONS: Students should have some electromagnetics and solid state physics background.
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ELEG 648 - Advanced Engineering Electromagnetics Credit(s): 3
ADV ENGR ELECTROMAGNETICS
Component: Lecture
Development and application of Maxwell’s equations as they apply to the analysis of guided wave, radiation, and scattering problems. Topics include wave propagation, reflection and transmission, vector potentials, transmission lines and cavities, and special emphasis on antennas and scattering structures.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
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ELEG 650 - Semiconductor Device Design and Fabrication Credit(s): 3
SEMICONDUCTOR DEVICE DES & FAB
Component: Lecture
Instruction in design and fabrication of simple bi-polar and MOS integrated circuits. Specific topics include semiconductor device and integrated circuit design, photolithographic mask design and fabrication, photolithography, N-diffusion and P-diffusion, P-MOS, metallization, and device and integrated circuit testing.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
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ELEG 651 - Computer Networks II Credit(s): 3
COMPUTER NETWORKS II
Component: Lecture
Foundation principles, architectures, and techniques employed in computer and communication networks. Focuses on mechanisms used in TCP/IP protocol suite. Topics include connection management, end-to-end reliable data transfer, sliding window protocols, quality of service, flow control, congestion control,routing, LANs, framing, error control, analog versus digital transmission, packet versus circuit switching, multiplexing.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Crosslisted: Crosslisted with CISC 650 . RESTRICTIONS: Knowledge of probability and statistics recommended. Credit cannot be received for CISC 650 and any of the following courses: CIS250, CPEG419, CIS450, ELEG651.
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ELEG 652 - Principles of Parallel Computer Architectures Credit(s): 3
PRIN PARALLEL COMP ARCHITECTUR
Component: Lecture
Provides an introduction to the principles of parallel computer architecture. Begins at a level that assumes experience in introductory undergraduate courses such as digital system design, computer architecture, and microprocessor based systems.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Crosslisted: May be crosslisted with CPEG 652 .
Course Typically Offered: Fall
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ELEG 656 - Electric Power II Credit(s): 3
ELECTRIC POWER II
Component: Lecture
This is the second course in electric power systems which covers the construction materials and design principals of indoor and underground three phase low and high voltage electric power systems, system economics, reliability, load characteristics, load management, and metering.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Course Typically Offered: Spring
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ELEG 657 - Design & Operation of Renewable Energy Microgrid Credit(s): 3
DSGN & OPER RWBL ENGY MICROGRD
Component: Lecture
A microgrid is a self-reliant electrical grid with multiple energy sources, storage and local control that can operate either connected to or disconnected from the conventional electric grid. Microgrids incorporate new technologies, such as solar photovoltaic (PV) modules, lithium-ion batteries, fuel cells, electric vehicles (EV), and energy management systems on scales from kilowatts to megawatts. In the event of a natural disaster or cyber-attack, microgrids are designed to provide their hosts with 100% reliable energy supply.
This course will cover the design and operation of reliable, economical microgrids integrating generation (photovoltaics, fuel cells, gas generators, and wind turbines), energy storage, sensing, communication, cybersecurity, and control. Concepts will be reinforced through the students’ use of industry-standard HOMER Grid software tool for techno-economic analysis. We will include both case-studies of existing microgrids and student design projects using HOMER Grid.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Course Typically Offered: Fall
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ELEG 658 - Advanced Mobile Services Credit(s): 3
ADVANCED MOBILE SERVICES
Component: Lecture
Foundations for the creation of successful advanced mobile services, including the interplay of business and technology evolution, methodologies, architectures and paradigm shifts that accompany the development of converged user centric intelligent telecommunication services from location sensitive and navigation services, to social networking and remote sensing.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
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ELEG 660 - High Technology Entrepreneurship Credit(s): 3
HIGH TECHNOLOGY ENTREPRENEURSH
Component: Lecture
Focuses on the critical financial, legal, scientific and engineering issues that must be confronted during the initial planning stages of a start-up enterprise. Students work in teams to develop a business plan for a real world/business product offering.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
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ELEG 661 - Materials and Devices Seminar Credit(s): 0
MATERIALS AND DEVICES SEMINAR
Component: Lecture
Lectures and discussions by guest speakers, faculty and students on specialized topics in materials and devices.
Repeatable for Credit: Y Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Pass/Not Pass
Course Typically Offered: Fall and Spring
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ELEG 662 - Digital Systems Seminar Credit(s): 0
DIGITAL SYSTEMS SEMINAR
Component: Lecture
Lectures and discussions by guest speakers, faculty and students on specialized topics in digital systems.
Repeatable for Credit: Y Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Pass/Not Pass
Course Typically Offered: Fall and Spring
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ELEG 663 - Signal Processing & Communications Seminar Credit(s): 0
SIGNAL PROCESSING & COMMUNICAT
Component: Lecture
Lectures and discussions by guest speakers, faculty and students on specialized topics in signal processing and communications.
Repeatable for Credit: Y Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Pass/Not Pass
Course Typically Offered: Fall and Spring
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ELEG 664 - Biomedical Engineering Seminar Credit(s): 0
BIOMEDICAL ENGINEERING SEMINAR
Component: Lecture
Lectures and discussions by guest speakers, faculty, and students on specialized topics in biomedical engineering.
Allowed Units: 0 Multiple Term Enrollment: N Grading Basis: Student Option
Course Typically Offered: Fall and Spring
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ELEG 665 - Introduction to Cybersecurity Credit(s): 3
INTRODUCTION TO CYBERSECURITY
Component: Lecture
Introduction to computer and network security and covers the foundation security policies and methods to provide confidentiality, integrity, and availability, as well as cryptography, auditing, and user security. Topics are reinforced with hands-on exercises run in a virtual machine environment.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Standard Grading
Crosslisted: Crosslisted with CPEG 665 .
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ELEG 666 - SPECIAL PROBLEM Credit(s): 1-12
SPECIAL PROBLEM
Component: Independent Study
Repeatable for Credit: Y Allowed Units: 99 Multiple Term Enrollment: Y Grading Basis: Student Option
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ELEG 667 - SEMINAR Credit(s): 1-12
SEMINAR
Component: Lecture
Repeatable for Credit: Y Allowed Units: 99 Multiple Term Enrollment: Y Grading Basis: Student Option
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ELEG 668 - Detection and Estimation Credit(s): 3
DETECTION AND ESTIMATION
Component: Lecture
This course covers the fundamentals of detection and estimation theory for statistical signal processing. Topics include hypothesis testing theory, signal detection theory for both deterministic and random signals, signal estimation theory with various optimal estimators for both deterministic and random parameters, and their properties and performance analysis.
Repeatable for Credit: Y Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
RESTRICTIONS: Knowlegde of material covered in ELEG305, ELEG306, ELEG310 or equivalent courses.
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ELEG 670 - Transistor Principles Design and Fabrication Credit(s): 3
TRANSISTOR PRINC DESIGN FABR
Component: Lecture
Brief review of the semiconductor devices principles, including two terminal and three terminal devices: PN diodes, Tunneling Diodes, MOSFETs, Tunneling Diodes, Bipolar Junction Transistors, high frequency electronics like S parameters will be introduced. High frequency electronic devices principles will be discussed. Material transfer process, Lithography, metal deposition, atomic layer deposition, will be demonstrated. The full fabrication process of making MOSFET using III-V materials on insulator will be instructed and conducted. Students gets hands-on experience on advanced device design and fabrication technology.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
PREREQ: ELEG340 or ELEG422 or equivalent course.
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ELEG 671 - Mathematical Physiology Credit(s): 3
MATHEMATICAL PHYSIOLOGY
Component: Lecture
Mathematical methods in Human Physiology, covering cellular, tissue, organ, and integrated systems. Dynamic modeling of homeostasis, endocrine regulatory systems, immune response dynamics, mutation and selection. Mathematical methods covered include linear and nonlinear differential equations, Lyapunov analysis, mass action, Hamming spaces, reaction-diffusion equations, and simulation.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Crosslisted: Crosslisted with BMEG 671 .
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ELEG 679 - Introduction to Medical Imaging Systems Credit(s): 3
INTRO. TO MEDICAL IMAGING SYST
Component: Lecture
Physics, instrumentation, system design, and image reconstruction algorithms will be covered for the following modalities: radiography, x-ray computed tomography (CT), single photon emission computed tomography (SPECT), positron emission tomography (PET), magnetic resonance imaging (MRI), and real-time ultrasound.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Crosslisted: Crosslisted with BMEG 679 .
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ELEG 681 - Remote Sensing of Environment Credit(s): 3
REMOTE SENSING OF ENVIRONMENT
Component: Lecture
Introduces important technology of remote sensing to further our understanding of Earth’s environment. Gain an in-depth look at the principles, techniques and applications of remote sensing. Basic skills in computer processing of digital satellite images using ENVI and ArcGIS software are provided.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Standard Grading
Crosslisted: Crosslisted with MAST 681 and GEOG 681 .
Course Typically Offered: Fall
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ELEG 682 - Optics and Photonics Credit(s): 3
OPTICS AND PHOTONICS
Component: Lecture
Principles of classical optics and their applications. Topics include wave optics, material dispersion, geometrical optics, ray tracing, ABCD matrices, birefringence and Jones’ formalism, Gaussian optics, coherence, interference, diffraction, pulse propagation and non-linear optics. Specific applications including optical components and instrumentation, imaging techniques, resonators and Fourier optics. Apply fundamental principles of optics and interaction between light and matter (photonics).
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Course Typically Offered: Spring
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ELEG 684 - Electric Vehicles and the Grid Credit(s): 3
ELECTRIC VEHICLES & THE GRID
Component: Lecture
This seminar covers design of electric vehicles and charging infrastructure, existing and needed policies, consumer perspective on electric vehicles, and the use of electric vehicles for grid services, including leveling variable generation.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Crosslisted: Crosslisted with MAST 684 .
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ELEG 692 - Radar Systems and Technology Credit(s): 3
RADAR SYSTEMS AND TECHNOLOGY
Component: Lecture
Introduction of basic RADAR concepts and operational scenarios. The RADAR range is developed as are concepts related to RADAR cross-section, waveform design, antennas, transmitter and receivers.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Course Typically Offered: Spring
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ELEG 693 - Electric Motors and Generators Credit(s): 3
ELECTRIC MOTORS AND GENERATORS
Component: Lecture
This is a basic course in motor and generator performance and application. Students will learn about electric power and energy, mechanical power and energy, and the torque, speed, efficiency, and economics of the various motor and generator designs.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
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ELEG 694 - System Hardening and Protection Credit(s): 3
SYSTEM HARDENING & PROTECTION
Component: Lecture
Practical treatment of the defensive techniques used to harden computer systems to make them less vulnerable to cyber-attacks. Defect management, configuration/hardening, account control, logs/auditing, and risk assessment are covered and reinforced with hands-on exercises run in a virtual machine environment.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Crosslisted: Crosslisted with CPEG 694 .
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ELEG 695 - Digital Forensics Credit(s): 3
DIGITAL FORENSICS
Component: Lecture
Introduction to digital forensics as used to analyze criminal evidence in computer systems and digital media. Forensic tools and techniques for storage and memory analysis of windows/linux, network traffic, documentation are covered and reinforced with hands-on exercises run in a virtual machine environment.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Crosslisted: Crosslisted with CPEG 695 .
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ELEG 696 - Topics in Cybersecurity Credit(s): 3
TOPICS IN CYBERSECURITY
Component: Lecture
Examine varied topics in cybersecurity to coincide with the interests of students and current faculty. Potential topics include: (1) applications, web or cloud security, (2) risk management and incident response, (3) malware and reverse engineering, or (4) wireless, smartphone, or SCADA security.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Crosslisted: Crosslisted with CPEG 696 .
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ELEG 697 - Computational System Biology Credit(s): 3
COMPUTATIONAL SYSTEM BIOLOGY
Component: Lecture
Computational/mathematical techniques for modeling & analysis of biological systems. Includes properties of gene-regulatory and signaling networks; network reconstruction from data; stochastic modeling to study cellular variation & physiological modeling.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Crosslisted: Crosslisted with BINF 695 .
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ELEG 806 - Systems Biology of Cells in Engineered Environments Credit(s): 3
SYS BIOL OF CELL IN ENGNRD ENV
Component: Lecture
Provides a technical review of systems biology approaches including genomics, transcriptomics, proteomics, metabolomics, and bioinformatics as well as applications in tissue engineering, stem cell differentiation, and drug delivery. Intended for PhD students in interdisciplinary life science and engineering programs.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Crosslisted: Crosslisted with BINF 816 .
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ELEG 809 - Electrodynamics I Credit(s): 3
ELECTRODYNAMICS I
Component: Lecture
Mathematical preliminaries. Maxwell equations. Symmetries, potentials and conservation laws for general electromagnetic field. Electrostatics and multipole expansion. Conducting and dielectric matter. Laplace and Poisson equations. Magnetostatics and multipole expansion. Magnetic force and energy. Magnetic matter. Dynamic and quasistatic fields.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Crosslisted: Crosslisted with PHYS 809 .
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ELEG 811 - Channel Coding Theory and Practice Credit(s): 3
CHANNEL CODING THRY & PRACTICE
Component: Lecture
Standard and modern developments in channel coding. Reviews information theory topics, then introduces convolutional codes and trellis-coded modulation, iterative decoding, including turbo codes and low-density parity check codes.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
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ELEG 812 - Wireless Digital Communications Credit(s): 3
WIRELESS DIGITAL COMM
Component: Lecture
Fundamentals and current techniques in wireless digital communications, including propagation, modem design, fading countermeasures, and multiple access techniques, such as FDMA, TDMA, and CDMA.
Repeatable for Credit: N Allowed Units: 1 Multiple Term Enrollment: N Grading Basis: Student Option
PREREQ: Probability and linear systems.
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ELEG 813 - Quantum Statistical Mechanics Credit(s): 3
QUANTUM STATISICAL MECHANICS
Component: Lecture
Basic concepts of quantum statistical mechanics, density matrix, and quantum partition function. Ideal Bose and Fermi gases; Bose-Einstein condensation. Mean field and Landau theories of phase transitions; critical phenomena; introduction to renormalization group methods. Linear response theory and Boltzman equation. Interacting quantum many-particle systems.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Crosslisted: Crosslisted with PHYS 813 .
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ELEG 815 - Analytics I: Statistical Learning Credit(s): 3
ANALYTICS I:STATISTICAL LEARN
Component: Lecture
Introduction to the mathematics of data analysis. Bayes estimation, linear regression and classification methods. The singular value decomposition and the pseudo-inverse. Statistical models for inference and prediction in finance, marketing, and engineering applications. Regularization methods and principles of sparsity priors are applied. Streaming solutions. High dimensional problems. Concepts reinforced in R programming experiments.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Crosslisted: May be crosslisted with FSAN 815 . RESTRICTIONS: First course in linear algebra. First course in probability and statistics. Basic programming skills.
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ELEG 817 - Large Scale Machine Learning Credit(s): 3
LARGE SCALE MACHINE LEARNING
Component: Lecture
Introduction to the analysis and processing of massive high-dimensional data. Massive data sets generally involve growth not only in the number of individuals represented but also in the number of descriptive parameters of the individuals, leading to exponential growth in the number of hypothesis considered. New approaches to address these problems exploit sparsity prior concepts from optimization theory, signal processing, statistics, and machine learning.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Crosslisted: May be crosslisted with FSAN 817 .
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ELEG 841 - Advanced Computational Electromagnetics II Credit(s): 3
ADV COMPUTATIONAL ELECTRMAG II
Component: Lecture
Introduces the major modern computational methods for the analysis of frequency domain electromagnetics problems. The finite element method and the method of moments are covered. Students will apply these techniques to radiation and scattering problems involving metal and dielectrics.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
PREREQ: ELEG 648
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ELEG 842 - Radio Frequency and Microwave Technology Credit(s): 3
RF & MICROWAVE TECHNOLOGY
Component: Lecture
Modern telecommunications and datacom systems operate at frequencies in the radio frequency (RF) and microwave range. The basic concepts and technologies required to design RF and microwave devices and circuits are explained. Examples of applications to wireless and lightwave systems are discussed.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
RESTRICTIONS: Undergraduates require permission from the instructor.
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ELEG 843 - Fourier Optics Credit(s): 3
FOURIER OPTICS
Component: Lecture
Provides an understanding of the basic principles underlying the field of optical information processing. Emphasis are on coherent optical image processing based on Fourier optics, holography, and acousto-optics.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
PREREQ: ELEG 640 and ELEG 648 or permission of instructor
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ELEG 845 - Modern Machine Learning Credit(s): 3
MODERN MACHINE LEARNING
Component: Lecture
Modern machine learning methodologies are covered & conceptsare reinforced through implementations focusing on array ofcontemporary classification problems. Topics include linear andlogistic regression, neural networks, support vector machines,clustering, dimensionality reduction & deep learning.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
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ELEG 850 - Financial Services Analytics Seminar Credit(s): 3
FIN SERVICES ANALYTICS SEMINAR
Component: Lecture
Concentrated study on selected areas in Financial Services Analytics.
Repeatable for Credit: Y Allowed Units: 6 Multiple Term Enrollment: N Grading Basis: Student Option
Crosslisted: Crosslisted with FSAN 850 and CISC 850 .
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ELEG 852 - Advanced Topics in Computing Systems Credit(s): 3
ADVANCED TOPICS IN HIGH-END CO
Component: Lecture
Focuse on the challenges and opportunities in parallel computing systems and on the design and implementation of future high-end computer systems from multiple peta-scale up to exa-scale computers. Challenges are centered on the definition and specification of parallel program execution models that are sound, scalable and programmable for the intended applications.
Repeatable for Credit: Y Allowed Units: 6 Multiple Term Enrollment: N Grading Basis: Student Option
Crosslisted: Crosslisted with CPEG 852 . RESTRICTIONS: RECTRICTIONS: May be repeated two times for credit.
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ELEG 853 - Integrated Optics Credit(s): 3
INTEGRATED OPTICS
Component: Lecture
Explains basic goals, principles and techniques of integrated optics. Topics include optical wave guides, scattering and absorption, couplers, electro-optic modulators, acousto-optic modulators, semiconductor lasers, photonic crystals and optical detectors. Includes applications of optical integrated circuits. Emphasis on physical explanations of how devices and systems work rather than on elaborate mathematical models.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
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ELEG 855 - Microwave and Millimeter-Wave Technology Credit(s): 3
MICROWAVE/MILLIMETER-WAVE TECH
Component: Lecture
Principles of device operation and circuit characteristics for microwave/millimeter-wave FET, IMPATT, TRAPPATT, Gunn diode, varactor diode, p-i-n diode, tunnel diode. Sub-millimeter-wave and terahertz-frequency devices also described. Covers both waveguide circuits and microwave integrated circuits. Emphasis on physical explanations of how devices and systems work rather than on elaborate mathematical models.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
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