(4 credits) Prerequisite(s): Undergraduate students, Nondegree graduates ineligible to enroll in 600/700/800 level graduate courses. Prerequisite: OMS 201 or equivalent. Development of statistical theory and its application to economics. Topics include probability theory, discrete random variables, continuous random variables, estimation, derivation of important sampling distributions, hypotheses testing and regression analysis.
(4 credits) Prerequisite(s): Undergraduate students, Nondegree graduates ineligible to enroll in 600/700/800 level graduate courses. Prerequisites: ECN 610 and ECN 622 or equivalents. Classical least squares assumptions for simple and multiple regression; estimation; associated statistics, e.g., R2, hypothesis testing, and confidence intervals; scaling; prediction; dummy variables; heteroscedasticity; autoregressive disturbances; multicollinearity; certain types of specification error; lagged relationships; simultaneous equilibrium models; limited dependent variable models; time series topics. Cross-listed with ECN 725. Candidates for the M.A. in Economics should register for ECN 625.
(4 credits) Prerequisites: ECN 625. Use of economic theory to develop empirical models. Course covers how to clean datasets for analysis, merge datasets, build bridges between data series with different coding schemes and other important data management techniques. Development of properly specified empirical models using appropriate techniques and analysis of results using statistical software. Appropriate presentation of results through project reports and class presentations.
(4 credits) Prerequisite(s): Undergraduate students, Nondegree graduates ineligible to enroll in 600/700/800 level graduate courses. Prerequisites or co-requisite: ECN 610 or equivalent and intermediate microeconomics. Prerequisites or co-requisite: ECN 610 or equivalent and intermediate microeconomics. Consumer theory; choice and demand under certainty and uncertainty; intertemporal choice; production, input demand and cost, supply; and perfectly competitive markets and applications. Cross-listed with ECN 733. Candidates for the M.A. in Economics should register for ECN 633.
(4 credits) Prerequisite(s): Must be a degree-seeking grad; ECN 610 as a pre- or co-requisite. Prerequisites or co-requisite: ECN 610 or equivalent and intermediate microeconomics. Prerequisites or co-requisite: ECN 610 or equivalent and intermediate microeconomics. Organization of firms and markets in perfectly competitive industries. Internal organizational strategies (scale and scope, make-or-buy, centralization vs. decentralization, etc.), external competitive strategies (pricing, product choice, advertising, entry and exit, R&D, etc.), and their mutual interdependence are analyzed. Cross-listed with ECN 735. Candidates for the M.A. in Economics should register for ECN 635.
(4 credits) Prerequisite(s): Undergraduate students, Nondegree graduates ineligible to enroll in 600/700/800 level graduate courses. Prerequisites: ECN 610 or equivalent and intermediate macroeconomics. An analytical examination of the forces that determine the level of national income, employment, prices, and economic growth under the classical, Keynesian, and post-Keynesian assumptions; Ricardian equivalence, time inconsistency issue, growth models, macroeconomic policy. Cross-listed with ECN 743. Candidates for the M.A. in Economics should register for ECN 643.
(4 credits) Prerequisite(s): Undergraduate students, Nondegree graduates ineligible to enroll in 600/700/800 level graduate courses. Prerequisite: ECN 633. Monetary systems; financial markets; financial intermediation; risk; term structure of interest rates; models of stock and bond prices; capital asset pricing model; financial derivatives; the efficient markets hypothesis; central banking; monetary theory. Cross-listed with ECN 754. Candidates for the M.A. in Economics should register for ECN 654.
(3 credits) Prerequisite(s): Undergraduate students, Nondegree graduates ineligible to enroll in 600/700/800 level graduate courses. Prerequisite: ECN 654. Monetary theories, supply and demand for money, and the instruments of monetary control, including the influence of monetary policy on money and capital markets; examination of proposed alternate monetary policies. Offered only on sufficient demand.
(4 credits) Prerequisite(s): M.A. Students in Economics. Prerequisites: Economics MA Program student or permission of instuctor. Analysis of labor market issues such as labor supply and demand, wage inequality, human capital formation, unemployment, the minimum wage, labor mobility and unions. Considers policy applications including school quality choices and the effect of health and safety regulations.
(4 credits) Prerequisite(s): Undergraduate students, Nondegree graduates ineligible to enroll in 600/700/800 level graduate courses. Prerequisite: Permission of instructor. Course title and content may change from term to term. May be repeated with change of topic.
(4 credits) Prerequisite(s): Undergraduate students, Nondegree graduates ineligible to enroll in 600/700/800 level graduate courses. Prerequisite: Permission of instructor. Discussion course in a particular area of economics with one instructor and a small group of students. May be repeated with change of topic.
(4 credits) Prerequisite(s): Grad course closed to all undergraduate students. Prerequisites or co-requisite: ECN 610 and intermediate microeconomics. Prerequisites or co-requisite: ECN 610 and intermediate microeconomics. Consumer theory; choice and demand under certainty and uncertainty, intertemporal choice; production, input demand and cost, supply; and perfectly competitive markets and applications. Cross-listed with ECN 633.
(4 credits) Prerequisite(s): Undergraduate students, Nondegree graduates ineligible to enroll in 600/700/800 level graduate courses. Prerequisites or co-requisite: ECN 610 and intermediate microeconomics. Prerequisites or co-requisite: ECN 610 and intermediate microeconomics. Organization of firms and markets in perfectly competitive industries. Internal organizational strategies (scale and scope, make-or-buy, centralization vs. decentralization, etc.), external competitive strategies (pricing, product choice, advertising, entry and exit, R&D, etc.), and their mutual interdependence are analyzed. Cross-listed with ECN 635.
(4 credits) Prerequisite(s): Undergraduate students, Nondegree graduates ineligible to enroll in 600/700/800 level graduate courses. Prerequisites: ECN 610 and intermediate microeconomics. An analytical examination of the forces that determine the level of national income, employment, prices, and economic growth under the classical, Keynesian, and post-Keynesian assumptions; Ricardian equivalence, time inconsistency issue, growth models, macroeconomic policy. Cross-listed with ECN 643.
(4 credits) Prerequisite(s): Undergraduate students, Nondegree graduates ineligible to enroll in 600/700/800 level graduate courses. Prerequisite: ECN 733. Monetary systems; financial markets; financial intermediation; risk; term structure of interest rates; models of stock and bond prices; capital asset pricing model; financial derivatives; the efficient markets hypothesis; central banking; monetary theory. Cross-listed with ECN 654.
(4 credits) Prerequisite(s): ECN 610 or equivalent and intermediate microeconomics. The determinants of comparative advantage and the pattern of international trade; the gains from trade and the effects of trade restrictions; trade, growth, and development; the balance of payments; the economics of exchange rates; macroeconomics in an open economy. Cross-listed with ECN 582.
(4 credits) Prerequisite(s): Undergraduate students, Nondegree graduates ineligible to enroll in 600/700/800 level graduate courses. Prerequisite: Permission of instructor. The seminar focuses on a particular area of economics, and requires class presentations by students and out-of-class writing assignments, as well as other assignments chosen by the instructor. May be repeated with change of topic.
(2 credits) Trains participants to resolve disputes as trained mediators. Review of a six- phase process of mediation in which disputing parties isolate critical issues, identify commonalties, generate alternatives, and reach consensus. Focuses on practical skills and the understanding of theoretical and empirical bases of the technique. Includes lectures, demonstrations, skillbuilding exercises, role- playing, and group activities. Application of the procedure to varied settings is discussed.
(4 credits) Prerequisite(s): Must be admitted as a graduate student to be eligible for this course. Specific topic is included in the course schedule. Provides students with the opportunity to investigate a designated topic in-depth and/or to carry out a supervised investigation within the limits of the seminar title. Group meetings enhance discussion and problem exploration. May be repeated with change of topic. (offered infrequently).
(4 credits) Prerequisite(s): Undergraduate students, Nondegree graduates ineligible to enroll in 600/700/800 level graduate courses. Prerequisite: Permission of department chair. An independent project in a selected area of education; project must be approved by and arrangements made with permission of department chair, the advisor, and a supervising faculty member. Offered every semester.
(4 credits) Prerequisite(s): Must be admitted as a graduate student to be eligible for this course. Specific topic is included in the course schedule. Provides students with the opportunity to investigate a designated topic in-depth and/or to carry out a supervised investigation within the limits of the seminar title. Group meetings enhance discussion and problem exploration. The course may be repeated with different content areas (offered infrequently).
(1-4 credits) Prerequisite(s): Permission of department chair. An independent project in a selected area of education; project must be approved by and arrangements made with permission of the department chair, the advisor, and a supervising faculty member. Offered every semester.
(4 credits) Prerequisite(s): Undergraduate students, Nondegree graduates ineligible to enroll in 600/700/800 level graduate courses. May be repeated for a total of four credit hours. Registration by permission of advisor. Offered every semester.
(4 credits) Prerequisite(s): Undergraduate students, Nondegree graduates ineligible to enroll in 600/700/800 level graduate courses. May be repeated for a total of four credit hours. Registration by permission of advisor. Offered every semester.
(3 credits) Prerequisite(s): Must be admitted as a graduate student to be eligible for this course. Focuses on issues related to the education of culturally and linguistically diverse children, gifted children, and children with special needs. Gender issues in education and the relation of diversity to all areas of the teaching-learning process are discussed. Course work involves the development of effective strategies for teaching all children about diversity and for promoting positive relationships among teachers, parents, and children. Required for early childhood teaching license, pre-kindergarten endorsement, and TESOL endorsement.
(3 credits) Prerequisite(s): Must be admitted as a graduate student to be eligible for this course. Emphasis on various aspects and phases of human growth and development from conception to adolescence, including physical/motor, socio-emotional, moral, and cognitive development. Attention is given to relationships among aspects of development and between development and school learning. Human Development option in the College core; required for early childhood teaching license.
(4 credits) Class sessions, studio laboratory work, and school-site experiences that develop the necessary knowledge and competencies for planning, implementing, and evaluating art programs in the secondary school.
(4 credits) Provides a series of learning experiences that develop knowledge and skills relative to planning, implementing, and evaluating art programs for children in the
elementary grades.
(3 credits) Prerequisite(s): Must be admitted as a graduate student to be eligible for this course. Explores theories, methods, and procedures underlying the development and design of instruction, with particular attention given to selected models of teaching and their practical application, strengths, and limitations. Other topics include the systematic analysis, design, implementation, and evaluation of instruction as a continuous integrated process; the importance of audience awareness and the learning environment in instruction planning; and the use of instructional technologies to enhance student learning and develop curricular materials.
(4 credits) Prerequisite(s): Must be admitted as a graduate student to be eligible for this course. Aids practicing elementary and secondary educators in developing curriculum, objectives, classroom materials, and appropriate teaching methods. Students critically review current research and trends in relation to national and state standards for foreign language instruction.
(4 credits) Prerequisite(s): Must be admitted as a graduate student to be eligible for this course. Aids practicing elementary and secondary educators in developing curriculum, objectives, classroom materials, and appropriate teaching methods. Students critically review current research and trends in relation to national and state standards for instruction in the English language arts.
(4 credits) Prerequisite(s): Must be admitted as a graduate student to be eligible for this course. Aids practicing elementary and secondary educators in developing curriculum, objectives, classroom materials, and appropriate teaching methods. Students critically review current research and trends in relation to national and state standards for instruction in the visual arts.
(4 credits) Prerequisite(s): Must be admitted as a graduate student to be eligible for this course. Aids practicing elementary and secondary educators in developing curriculum, objectives, classroom materials, and appropriate teaching methods. Students critically review current research and trends in relation to national and state standards for mathematics instruction.
EDC 516 - Instructional Development in Social Studies Education
(4 credits) Aids practicing elementary and secondary educators in developing curriculum, objectives, classroom materials, and appropriate teaching methods. Students critically review current research and trends in relation to national and state standards for social studies instruction.
(4 credits) Prerequisite(s): Must be admitted as a graduate student to be eligible for this course. Aids practicing classroom teachers by providing strategies and tools for modifying commercial curricula, enhancing teaching methods, and adapting instructional technologies. Students critically review research and trends related to continuing issues in science education.
(3 credits) Considers topics from the areas of physics, chemistry, and earth/space science. Emphasis is given to enhancement of the science-content knowledge of future and practicing teachers. Combines lecture, discussion, and laboratory activities, thereby modeling appropriate instructional practices.
(4 credits) Prerequisite(s): Grad course eligibility for undergraduates: credits earned greater than or equal
to 144 and gpa 2.75 OR level is graduate.
(2 credits) This course is designed to help teachers of mathematices use technology to increase student learning in mathematics. Course participants will use technology to explore the issues surrounding the classroom use of technology. Specifically, this course will help teachers develop knowledge of research and theories regarding teaching and learning mathematics using technology. The course will also help teachers develop proficiency in the appropriate application of various technologies to encourage students to develop greater conceptual understanding of mathematics and develop higher order thinking skills.
(3 credits) The course in Assessment, Diagnosis, and Evaluation in Mathematics will prepare P-6 Mathematics Specialist Endorsement candidates to be able to direct the alignment of curriculum with the state’s Academic Content Standards within and across grade levels. In addition, they will analyze and interpret data from student assessments for teachers, parents, and the community.
(3 credits) Prerequisite(s): Three years of successful experience in teaching mathematics. Practicum in Mathematics Intervention is structured to provide P-6 mathematics teachers with necessary leadership experience for designing intervention programs for schools. In addition, the course helps the practicing teachers to create curriculum and instruction for students who are potentially at risk in learning mathematics. Also, the course stresses the practical application of theory and research to the planning and delivery, and evaluation of instruction.
(4 credits) Prerequisite(s): Completion of a minimum of 50% of content area courses in English/language arts needed for licensure. Co-requisite: EST 582 Co-requisite: EST 572. Critical exploration and analysis of current developments in the teaching of secondary English with emphasis on student-centered methods that encourage integrated study of the language arts. Pragmatic and theoretical aspects of language, literature, and composition instruction are considered-especially as they apply to the selection of objectives, strategies, and materials for instruction and evaluation. Areas of study include reading and writing development, the writing process, the processes involved in reading literary works, oral language and listening-skill development, as well as formative and summative techniques for assessing pupil progress.
(4 credits) Prerequisite(s): Completion of a minimum of 50% of content area courses in mathematics needed for licensure. Co-requisite: EST 583 Co-requisite: EST 572. Traces the historical development of various fields of mathematics and provides opportunities for the prospective mathematics teacher to gain experience in preparing and teaching problem-centered lessons. Focuses on materials and strategies for teaching mathematics at the intermediate and secondary level. Also considered are student characteristics, teaching and learning styles, issues of equity and diversity, and constructivist theories of learning. Topics for discussion include issues associated with inquiry learning and changing instructional practices that provide a problem-rich environment for learning and the use of technology.
(4 credits) Prerequisite(s): Grad course eligibility for undergraduates: credits earned greater than or equal
to 144 and gpa 2.75 OR level is graduate. Minimum of 75% of social studies content courses completed, and completion of all education foundation and curriculum courses. Co-requisite EST 572. Co-requisite EST 572. Explores concepts, purposes, and underlying assumptions of teaching social sciences; develops activities to improve intermediate and secondary students’ interest and competence in democratic citizenship in a pluralistic society; addresses interdisciplinary curriculum linkages.
(4 credits) Prerequisite(s): Completion of a minimum of 50% of content area courses in science needed for licensure. Co-requisite: EST 585 Co-requisite: EST 572. Co-requisite: EST 572. Introduction to structure and function of science instruction in the secondary schools; provides background and principles of science education, including instructional planning, methods, assessment, materials, and philosophy for teaching science.
(1 credits) Prerequisites: Graduate standing. This course is designed to enhance the ability of students to write effectively on topics within the discipline of electrical and computer engineering. A substantial written report is one of the requirements. Students enrolled in EEC 503 must be concurrently enrolled in any graduate-level content-based ECE course. This excludes the following courses: Graduate Seminar (EEC 601/701), Electrical Engineering Internship (EEC 602/802), Master’s Thesis (EEC 699), Doctoral Research (EEC 895), and Doctoral Dissertation (EEC 899). After registering for EEC 503, students must obtain a written agreement from the instructor of the content-based course certifying that the instructor will serve as a grader of the writing required in EEC 503. The content course instructor, in consultation with the student, will determine the topic of the written report. This concurrent enrollment requirement can be waived with the prior permission of the instructor.
(4 credits) Prerequisite(s): Restriction for undergraduates in graduate courses and enrolled in the college
of Engineering Prerequisite: Graduate standing. Fundamental concepts in linear system theory: matrix algebra, linear vector space, linear operator; linearity, causality, relaxedness, and time invariance. Input-output and state-space models. Solutions of linear dynamic equation and impulse response. Characteristics of linear systems: controllability, observability, and stability.
(4 credits) Prerequisite(s): Restriction for undergraduates in graduate courses and enrolled in the college
of Engineering Prerequisite: Graduate standing. General concepts of probability and random variables, including random experiments, inequalities, joint distributions, functions of random variables, expectations, and the law of large numbers. Basic concepts of random processes and their properties are introduced. Markov process, linear systems with stochastic inputs, and power spectra are presented.
(4 credits) Prerequisite: Graduate standing. The objective of this course is to expose graduate students to the bourgeoning field of nanotechnology. The course is designed for students from different disciplines of engineering, science and related fields. The course surveys various areas of nanotechnology, including nanoscale materials, fabrication of nanostructures and their characterization techniques, nanoscale and molecular electronics, nanoelectromechanical systems, nanobiotechnology, and safety issues.
(4 credits) Prerequisite: Graduate standing. This course is an introduction to the fields of biosensors, bioelectronics and bioMEMS. The course is designed for students from different disciplines of engineering, science and related fields. It surveys various areas of nanotechnology, including immobilization of biological components to transducers, electrochemical, optical and piezoelectric biosensors, sensor fabrication, miniature sensors and other sensors for biomedical applications, biofuel cells, bioMEMS, and related topics.
(4 credits) Prerequisite(s): Restriction for undergraduates in graduate courses and enrolled in the college
of Engineering Prerequisites: Graduate standing. Software design of microcontroller-based embedded systems. Topics include microcontroller architecture; assembly programming; C programming; real-time interrupts; external interrupts; program size considerations; input/output issues; analog-to-digital conversion; serial port reception/transmission.
(4 credits) Prerequisite(s): Restriction for undergraduates in graduate courses and enrolled in the college
of Engineering Prerequisites: Graduate standing. Software process, methods, and tolls; phases of software development process including requirements analysis, engineering, and software project management, metrics, and quality assurance.
(4 credits) Prerequisite(s): Restriction for undergraduates in graduate courses and enrolled in the college
of Engineering Prerequisite: Graduate standing. Software system formal mechanisms, including specification, validation, and verification. Formal specification with algebraic specification and abstraction/reasoning about system properties. Evolution of formalism to model a certain system. Proof of models using analytical methods and experimental methods using simulators.
(4 credits) Prerequisite(s): Restriction for undergraduates in graduate courses and enrolled in the college
of Engineering Prerequisite: Graduate standing. Data mining process, data mining tasks including classification, clustering, association, and prediction; methods and procedures for data mining using machine learning, neural networks, and database techniques; data mining tools, systems, and applications.
(4 credits) Prerequisite(s): Restriction for undergraduates in graduate courses and enrolled in the college
of Engineering Prerequisite: Graduate standing. Modeling of DSP operations using discrete-time signals and systems: difference equations, Z-transforms, Fourier methods. Signal sampling (A/D) and reconstruction (D/A); digital filters; sample rate converters and oversampling; DFT and spectrum estimation; selected applications. Out-of-class projects completed on DSP equipment in lab.
(4 credits) Prerequisite(s): Restriction for undergraduates in graduate courses and enrolled in the college
of Engineering Prerequisites: Graduate standing . This course traces the idea of feedback control throughout history and is made broadly accessible to engineering and science majors alike at both undergraduate and graduate levels. By going back in time and trying to understand the problems that precipitated the great discoveries in controls, we strive to grasp the thought process of the great minds in the history of controls, leading to, hopefully, better understanding and appreciation of the art and science of problem solving in the area of automatic control systems.
(4 credits) Prerequisite(s): Restriction for undergraduates in graduate courses and enrolled in the college
of Engineering Prerequisite:Graduate standing. Fundamental laws of electromagnetic fields: Gauss’s, Faraday’s, Ampere’s, Biot-Savart’s, Ohm’s and Kirchhoff’s voltage and current laws. Maxwell’s equations as applicable to finite and infinitesimal regions in three-dimensional space and their engineering implications. Source distribution and boundary value engineering problems and their analytical or numerical solution. Electromagnetic wave propagation. Applications to the design of transmission lines, waveguides, and antennas.
(4 credits) Prerequisite(s): Restriction for undergraduates in graduate courses and enrolled in the college
of Engineering Prerequisite: Graduate standing. Methods of electromagnetic coupling between devices, shielding, grounding, frequency spectra of unintentional radiation sources, radiation coupling between distant devices, absorption and reflection losses in nonmagnetic shielding, high-permeability shields, shielding penetration by wires and cables, electromagnetic compatibility (EMC) regulations and measurements.
(4 credits) Prerequisite(s): Restriction for undergraduates in graduate courses and enrolled in the college
of Engineering Prerequisite: Graduate standing. Power system components modeling: transformers, generators, transmission lines. Power flow, economic scheduling of generation, power systems faults, and transient stability.
(4 credits) Prerequisite(s): Restriction for undergraduates in graduate courses and enrolled in the college
of Engineering Prerequisite: EEC 470. Advanced course in power electronics: switching function representation of converter circuits (DC-DC, AC-DC, DC-AC, and AC-AC), resonant converters, adjustable torque drives, field-oriented motor control, residential and industrial applications, utility applications, power supply applications.
(4 credits) Prerequisite(s): Restriction for undergraduates in graduate courses and enrolled in the college
of Engineering Prerequisite: Graduate standing. Overview of modern digital design methodology and CAD tools, VHDL description for combinational and sequential logic, VHDL description for state machine, VHDL description for RTL design, synthesis and implementation using CPLD/FPGA devices. No graduate credit for students who have completed EEC 480.
(4 credits) Prerequisite(s): Restriction for undergraduates in graduate courses and enrolled in the college
of Engineering Prerequisite: Graduate standing. The design of high-performance computer systems, with emphasis on cost-performance tradeoff, performance evaluation, instruction set design, hardwired control-unit design, micro- and nano-programming, pipelining, memory hierarchy, and I/O interfaces.
(4 credits) Prerequisite(s): Grad course eligibility for undergraduates: credits earned greater than or equal
to 144 and gpa 2.75 OR level is graduate. Prerequisite: Graduate Standing. Provides a comprehensive overview of computer networks. Topics include network architectures, communication protocols; data link control, medium access control, LANS and MANS: network layer, TCP/IP; and network security.
(2 credits) Prerequisite(s): EEC 580. Experiments and projects utilizing VHDL, modern EDA software tools and CPLD/FPGA devices to design, synthesize, simulate, implement and test combinational circuits, sequential circuits and register-transfer-level systems. No graduate credits for students who have completed EEC 481.
(4 credits) Prerequisite(s): Grad course eligibility for undergraduates: credits earned greater than or equal
to 144 and gpa 2.75 OR level is graduate. Prerequisite: EEC 580. Experiments and projects utilizing VHDL, modern EDA software tools and CPLD/FPGA devices to design, synthesize, simulate, implement and test combinational circuits, sequential circuits, register-transfer-level systems and processor.
(1 credits) Prerequisite(s): Graduate standing. Invited experts from industry and academia present and discuss current issues and trends in research and the professional practice of electrical and computer engineering. Registration may be repeated for credit. Credits earned by registering for this seminar do not fulfill degree requirements. Graded S/F.
(1 credits) Prerequisite(s): Graduate standing, completion of at least one full time academic year in MSEE, MSSE or Doctor of Engineering program, and permission of advisor. Prerequisites: Graduate standing, completion of at least one full time academic year in MSEE, MSSE or Doctor of Engineering program, and permission of advisor. Provides students with practical experience in electrical, computer or software engineering. Students will write progress reports on a regular basis in addition to writing a project report at the end of the course. May be taken up to two times for credit.
(4 credits) Prerequisite(s): EEC 521 or permission of instructor. Software system formal mechanisms, including specification, validation, and verification. Formal specification of concurrent systems using temporal logics. Evolution of formalism to model a certain system. Use of model checking and program verification tools for verification of concurrent software.
(4 credits) Prerequisite(s): closed to non degree grads, all undergrads and grads who are
not in the college of engineering Software quality, software quality aspects; software quality assurance SQA; SQA components, activities, and infrastructures; cost of software quality; software quality metrics and models; software quality standards.
(4 credits) Prerequisite(s): Undergraduate students, Nondegree graduates ineligible to enroll in 600/700/800 level graduate courses. Software errors, bug reports, test case design, white box testing, black box testing, unit testing, integration testing, system testing, regression testing, test planning and management.
(4 credits) An in-depth look at software design. Study of design patterns, frameworks, and architectures. Survey of current middleware architectures. Design of distributed systems using middleware. Component based design. Measurement theory and appropriate use of metrics in design. Designing for qualities such as performance, safety, security, reusability, reliability, etc. Measuring internal qualities and complexity of software. Evaluation and evolution of designs. Basics of software evolution, reengineering, and reverse engineering.
(4 credits) Prerequisite(s): MSSE core courses (EEC 521, EEC 623, CIS 634, CIS 635). Students will apply software enginnering principles, methods and tools learned in their course work in building realistic software systems. Students work as small teams in solving real world problems. Students will meet regularly in class and teams meet separately.
(4 credits) Prerequisite(s): closed to non degree grads, all undergrads and grads who are
not in the college of engineering Prerequisite: EEC 510. Systematic approach of applying modern control design methods, such as digital control, adaptive control, and heuristic methods to practical design problems. Practical approaches to typical industrial problems, such as nonlinearity, control saturation, parasitic effects, chattering, etc. Useful stability analysis techniques, such as the Circle Criterion and Popov’s Criterion. Polynomial matrix interpolation and its applications in control and system identification. Design examples and assignments.
(4 credits) Prerequisite(s): EEC 510. Multi-input and multi-output control problems; robustness of control systems; singular value analysis; H-infinity estimation and control; controller order reduction.
(4 credits) Prerequisite(s): closed to non degree grads, all undergrads and grads who are
not in the college of engineering Prerequisite: EEC 510. Development of dynamic system models from basic laws of physics and identification of model parameters from system input-output measurements. Frequency and time domain models. Design of persistently exciting input signals.
(4 credits) Prerequisite(s): closed to non degree grads, all undergrads and grads who are
not in the college of engineering Prerequisite: EEC 510. State-space and frequency domain analysis and design of nonlinear feedback systems. Methods include Liapunov’s stability analysis, singular perturbations, describing functions, Popov’s and circle criteria. Feedback linearization, variable structure, and sliding mode control.
(4 credits) Prerequisite(s): closed to non degree grads, all undergrads and grads who are
not in the college of engineering Prerequisite: EEC 510. Introduction to the principles and methods of the optimal control approach: performance measures; dynamic programming; calculus of variations; Pontryagin’s Principle; optimal linear regulators; minimum time and minimum fuel problems; steepest descent; and quasilinearization methods for determining optimal trajectories.
(4 credits) Prerequisite(s): closed to non degree grads, all undergrads and grads who are
not in the college of engineering Prerequisite: EEC 510. Artificial intelligence techniques applied to control system design. Topics include fuzzy sets, artificial neural networks, methods for designing fuzzy-logic controllers and neural network controllers; application of computer-aided design techniques for designing fuzzy-logic and neural-network controllers.
(4 credits) Prerequisite(s): EEC 510 and graduate standing. This course provides a comprehensive overview of MEMS technique and MEMS control. Topics include MEMS fabrication processes, MEMS sensors and actuators, Dynamic modeling of MEMS devices, control, signal processing, and electronics for MEMS, and case studies of MEMS.
(4 credits) Prerequisites: MCE 441/541 or EEC 510 or exposure to undergraduate controls, with instructor consent. Study of robotic manipulator systems, with strong emphasis on dynamics and control. Energy-based nonlinear models. Motion control using PD, inverse dynamics and passivity. Geometric nonlinear control applied to robotic manipulators.
(4 credits) Prerequisite(s): closed to non degree grads, all undergrads and grads who are
not in the college of engineering Prerequisite: EEC 512. The classical theory of detection and estimation of signals in noise. Bayesian hypothesis testing, minimax hypothesis testing, Neyman-Pearson hypothesis testing, composite hypothesis testing, signal detection in discrete time, sequential detection. Nonparametric and robust detection parameter estimation, Bayesian estimation, maximum likelihood estimation, Kalman-Bucy filtering, linear estimation, Wiener-Kolmogorov filtering, applications to communications.