[3 credit(s)] Prerequisite: CIS 265 or equivalent. A short history of programming languages and coding styles precedes the study of a collection of programming paradigms. The major programming paradigms are surveyed, including procedural, functional, object-oriented, graphical-user-interface based, and logic programming. The relationships between syntax, semantics and the compilation process are investigated.
CIS 530 - Introduction to Database Systems and Processing
[3 credit(s)] Prerequisite: CIS 265 or equivalent. A comprehensive introduction to database concepts. Emphasis is given to the relational database model. Discussion of data modeling approaches, normalization and database design theory, data definition and manipulation languages, data architecture for storage of large data sets, indexing techniques for effective data retrieval, query processing and optimization, security, concurrency control and recovery mechanisms. Lab experience using various commercial DBMS systems with a focus on `how to use the tools’.
[3 credit(s)] Prerequisite: CIS 506. Foundation of computer organization and assembly language. Topics include data representation, machine language, hardware fundamentals, registers, and addressing modes. Fundamentals of systems programming including assembly language, assemblers, macro processors, linkers, loaders, and compilers. Examples of language processors are studied on various computers.
[3 credit(s)] Prerequisite: CIS 506. This course serves as the introduction to system-level course. In this course, students will work on Linux systems and use C programming language to develop system programs in Unix/Linux environment. While no C programming skill is required, students are expected to be proficient in at least one high level programming language, e.g., Java.
[3 credit(s)] Prerequisite: CIS 540. The basic concepts of computer systems, commonly found in most modern computers, are studied. In particular, the class focuses on processes (management, scheduling, synchronization), memory management, I/O management and file systems. Students are expected to work on several intensive programming projects, in addition to regular class assignments.
[3 credit(s)] Prerequisite: CIS 505, CIS 506. This course offers a systematic study of algorithms and their complexity, including sorting, searching, selecting, and algorithms for graphs. Algorithm design techniques including greedy, divide-and-conquer, dynamic programming and network flow are also covered. NP-complete problems will be briefly introduced as the topic of computational complexity. Algorithm implementation is required as a form of programming projects.
[3 credit(s)] Prerequisite: CIS 345 or equivalent. Data communications: characteristics of physical transmission media, including international standards for data encoding and device interfacing; transmission principles, modems and multiplexors, data link protocols, mechanisms for error detection/correction, and flow control. Computer Networks: broad survey of existing networks; network topology; network layers from the ISO OSI reference model; network programming; analytical tools for network analysis and design.
[3 credit(s)] Prerequisite: CIS 506. Course builds on basic knowledge of data structures and programming in Java. The course revisits concepts of polymorphism and examines how fundamental building blocks of encapsulation, inheritance and polymorphism can be put together to build sensible libraries (packages) of classes. Other topics covered in the class include client side programming with in-depth coverage of deep cloning, exception handling, event source/listeners, GUI, reflection, and multithreading, and java sockets. In addition, issues of deployment of java packages, and jar files are discussed.
[3 credit(s)] Prerequisite: CIS 335 or equivalent. The course focuses on the design of modern computer systems. Topics include processor and instruction set design; addressing; control structures and microprogramming; memory management, caches, memory hierarchy; interrupts; I/O structures and buses. Upon successful completion of this course, a student will be able to design and program embedded systems.
CIS 593 - Special Topics in Computer & Information Science
[1-4 credit(s)] Prerequisite: Varies depending on content. Special topics of current interest in computer and information science. Content varies each offering. May be repeated with change in topic.
[3 credit(s)] Prerequisite: CIS 480 or CIS 580; must be admitted to the College or Business as a degree seeking student to be eligible for this course. Logic circuit design concepts, including various CPU implementation methods. Architectural features of minicomputers and microcomputers, including processor organization and control, storage addressing, and input/output structures; emphasis on impact on application and system software; detailed study of popular minicomputers and microprocessors and their use of architectural features.
CIS 601 - Graduate Seminar in Computer and Information Science
[1 credit(s)] Prerequisite: Completion of the MCIS-CS preparatory program. Introduction to current research topics in computer science and information systems. Explores how research is done in these areas. State-of-the-art industrial practices also examined. Students prepare presentations on current research topics in computer science or information systems based on surveys of recent articles. Must be taken the first semester after completion of the preparatory program.
[3 credit(s)] Prerequisites: CIS 390 or equivalent. Algorithms and their time/space complexities; models of computation; design of efficient algorithms: recursion, divide-and-conquer, dynamic programming; algorithms for sorting, searching, and graph analysis. Algorithms for parallel computing.
[4 credit(s)] Database systems; their application, advantages, and disadvantages; layered architecture and its physical/logical organization. Relational databases, foundations, and applications. Detailed study of query languages, including relational algebra, Structured Query Language (SQL), and Query-By-Example (QBE). Other non-relational systems, including the network and hierarchical database models, their data definition, and manipulation sub-languages. Data abstraction, ER models, and normalization theory.
[3 credit(s)] Prerequisites: CIS 530 or equivalent. Detailed study of the relational model of data, including its query languages: relational algebra and relational calculus. Expressive power of query languages. Design of relational databases, functional and multivalued dependencies, normalization theory, elimination of update anomalies, lossless joins, and dependency preserving decompositions. Exposure to practical aspects of relational design and query evaluation.
CIS 612 - Big Data and Parallel Database Processing Systems
[3 credit(s)] Prerequisites: CIS 530. Detailed study of modern database processing and parallel database processing systems for big data processing. The topics include Transaction concept, concurrency control strategies, semistructured and unstructured data processing strategies. The course advances the study with big data processing strategies on distributed file system Hadoop with Map Reduce paradigm and focuses on the study of massively parallel database processing systems for big data processing with selective NoSQL systems, NewSQL systems, and cloud computing platforms and infrastructures. The course covers data model, index, querying techniques, data processing methods, and ACID (Atomicity, Consistency, Isolation, and Durability) issues in parallel database processing systems. The students will get hands-on experiences on big data processing systems with processing real time big data stream obtained from well-known social network sites. Finally, the course will explore the latest advances in industry research for big data processing and data analytics.
[4 credit(s)] Prerequisite: CIS 345 and CIS 430 or equivalent coursework. Issues surrounding the development of distributed applications, including their architecture, design, and implementation; use of the Java Enterprise API?s; includes servlets, JavaServer Pages (JSP), Java Database Connectivity (JDBC), RMI, CORBA, JNDI, Enterprise JavaBeans, and XML; design and development of complex, distributed web applications.
[4 credit(s)] Prerequisite: CIS 345 or equivalent. Surveys the tools, techniques, and design principles behind large-scale web-based systems; covers many of the design, deployment, and maintenance issues that are likely to arise in practice. Both multi-tier and peer-to-peer architectures are discussed. Students gain practical experience in design, implementation, deployment, and testing of simple distributed systems under RM, CORBA, SOAP, and web services.
[4 credit(s)] Prerequisite: CIS 345 or equivalent. This course teaches the latest in wireless technologies, including wireless networks, wireless carriers, operating systems for mobile devices, wireless security, WAP (Wireless Application Protocol), WML (Wireless Markup Language), and micro-browsers. Design and implementation of wireless applications using Sun’s J2ME (Java 2 Micro Edition), including applications that utilize user interfaces, graphics, Graduate Course Descriptions /223 multimedia (the Mobile Media API for J2ME), storage to device’s database, and network connections. Included will be n-tier applications that use servlets on a Web server and mobile device software as the first tier. Also covered will be Microsoft Windows CE and Pocket PC.
[4 credit(s)] Prerequisites: CIS 568. Introduction to structured systems analysis and design; use of data flow diagrams, data dictionaries, and structured English in systems analysis; use of structure charts, coupling, cohesion, transform analysis, packaging, and various heuristics in systems design.
[4 credit(s)] Prerequisite: CIS 568. Importance of software quality assurance; metrics for quantitative comparisons and evaluations of software and of development processes; phases and activities of a software life-cycle; use of cost-estimation models to plan the cost, schedule, and effort required at various levels of project detail; software project planning and control techniques; use of estimates in decision making for management; computerized tools for software estimation and project management.
[4 credit(s)] Prerequisites: CIS 568. Introduction to object-oriented systems development. Object modeling, use cases, class development, CRC analysis, class diagrams, interaction diagrams, and state transition diagrams. Transition from analysis to design. Design specification. Transition from design to programming.
[3 credit(s)] Prerequisites: CIS 265 and CIS 335 or equivalent coursework. Practical overview of the principles involved in the design and construction of translators. Language theory and its relation to push-down automata, parsing methods, finite state machines and lexical methods, including data representation and run-time environments. In-depth coverage of major parsing and syntax-directed translation ranging from top-down recursive-descent methods, including LL(k) and SLL(k), to bottom-up LR methods, including simple LR, canonical LR, and lookahead LR, with exposure to the yacc parser generator tool. Lexical analysis, including regular expressions, finite state machines, and the lex scanner generator tool.
[4 credit(s)] Prerequisite: CIS 265 and CIS 340 or equivalent coursework. Introduces digital capture, representation, processing, and playback of multimedia data, audio, video, and images. Java is used for programming assignments and Java media APIs are studied and used. Commercial products for multimedia capture, editing, and broadcast also are used.
[4 credit(s)] Prerequisites: CIS 530. Must be admitted to the College of Engineering as a degree-seeking graduate student to be eligible for this course. This course will examine data mining methods, technologies, techniques and algorithms. The course will also cover data quality issues, data reduction, data preparation, data pre-processing, model creation, model selection, and model evaluation. Sample data sets will be used to illustrate the course concepts by hands-on experimentation with data mining algorithms implementations and/or by using existing data mining software.
[3 credit(s)] Prerequisites: CIS 390 or equivalent. Study of recent AI techniques important for practical applications, including neural networks, genetic algorithms and evolutionary computing, fuzzy systems, and chaotic systems.
[4 credit(s)] Prerequisite: CIS 390 or equivalent. An introductory course in biology or chemistry is recommended, but not required. Computational methods for study of biological sequence data in molecular biology. Analysis of genome content and organization. Techniques for searching sequence databases, pairwise and multiple-sequence alignment, phylogenetic methods. Protein structure prediction and modeling, proteomics and the use of web-based bioinformatics tools.
[3 credit(s)] Prerequisites: CIS 345 or equivalent. A comprehensive study of security vulnerabilities in information systems and the basic techniques for developing secure applications and practicing safe computing. Topics including common attacking techniques such as buffer overflow, Trojan, virus, and others. UNIX, Windows, and Java security; conventional encryption; Hash functions and data integrity; public-key encryption (RSA, Elliptic-Curve); digital signature; watermarking for multimedia; security standards and applications; building secure software and systems; legal and ethical issues in computer security.
[1 credit(s)] Prerequisite: Undergraduate and Nondegree graduates ineligible to enroll in 600/700/800 level courses; dept consent required. Work experience in a professional environment. The work performed must extend the academic curriculum and provide a meaningful learning experience in the student’s area of interest. Term paper required.
CIS 693 - Special Topics In Computer & Information Science
[1-4 credit(s)] Prerequisite: Varies depending on content. Special topics of current interest in computer and information science. Content varies each offering. May be repeated with change in topic.
CIS 694 - Special Topics In Computer & Information Science
[4 credit(s)] Prerequisite: Varies depending on content. Special topics of current interest in computer and information science. Content varies each offering. May be repeated with change in topic.
[5 credit(s)] Special research projects in computer and information science. Arranged between student and adviser and subject to departmental approval prior to registration.
[1-4 credit(s)] Prerequisite: Undergraduate students, Nondegree graduates ineligible to enroll in 600/700/800 level graduate courses; dept consent required. Study of significant problems in some phase of administration related to the computer industry or computer applications. A written report, suitable for publication in a professional journal, is required. Available only to M.B.A. students taking a computer science concentration.
CIS 699 - Master’S Thesis Research In Computer & Information Science
[3 credit(s)] Prerequisite: Departmental approval of written proposal. Research in some area of computer and information science; primarily for students who intend to pursue doctoral studies. Students may register more than once for this course with departmental approval.
[4 credit(s)] Prerequisite: CIS 545. Data communications: characteristics of physical transmission media, including international standards for data encoding and device interfacing; transmission principles, modems and multiplexors, data link protocols, mechanisms for error detection/correction, and flow control. Computer Networks: broad survey of existing networks; network topology; network layers from the ISO OSI reference model; network programming; analytical tools for network analysis and design.
EEC 503 - Writing in Electrical and Computer Engineering
[1 credit(s)] 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 credit(s)] 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 credit(s)] 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 credit(s)] 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 credit(s)] 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 credit(s)] Prerequisite: Graduate standing in electrical engineering or permission of instructor. Solid-state physics as applied to electronic devices, semiconductor materials, conduction processes in solids, device fabrication, diffusion processes, and semiconductor devices.
[4 credit(s)] 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 credit(s)] 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 credit(s)] 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 credit(s)] 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 credit(s)] 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 credit(s)] Prerequisite: Graduate standing. A review of communication concepts and systems, waveform generation, and analog and digital modulation schemes. Use of the hardware elements of an SDR system such as the front-end RF system, analog-to-digital and digital-to-analog conversion, and FPGAs with NI USRP SDR units. Coupling of the hardware elements with the software-defined elements of the radio system through the use of NI LabView environment. Implementation of functioning SDR systems involving modulation, detection, pulse shaping, channel estimation and equalization. (EEC 556: … frame detection, frequency offset correction, OFDM and frequency domain equalization.)
[4 credit(s)] 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 credit(s)] 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 credit(s)] Prerequisite: Graduate standing. Power system components modeling: transformers, generators, transmission lines. Power flow, economic scheduling of generation, power systems faults, and transient stability.
[4 credit(s)] Prerequisite: Graduate standing in electrical engineering or permission of instructor. Analysis, performance, characterization, and design of power electronics converters using diodes, thyristors, transistors and other controllable semiconductor switches.
[4 credit(s)] 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 credit(s)] 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 credit(s)] 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 credit(s)] 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.
[4 credit(s)] 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 credit(s)] Prerequisite: 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 credit(s)] Prerequisites: Graduate standing, completion of at least one full time academic year in MSEE, MSSE or Doctor of Philosophy in 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.
EEC 615 - Principles and Applications of Renewable Energy
[4 credit(s)] Prerequisite: Graduate standing. This course introduces the concepts, principles and applications of various forms of renewable energy technologies to help the students gain a global perspective of the current energy issues and how renewable energy can potentially provide solutions to the issues.
[4 credit(s)] Prerequisite: Graduate standing in electrical engineering or permission of instructor. Studies solar energy as an alternative form of energy and how organic/polymer cells can harvest this energy. Studies the theory behind organic solar cells and as well as research areas within the field including materials, stability and processing.
[4 credit(s)] Prerequisite: EEC 521, Software Engineering, 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 credit(s)] Prerequisite: EEC 521. 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 credit(s)] Prerequisite: EEC 521. 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 credit(s)] Prerequisite: 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 credit(s)] 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 credit(s)] 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 credit(s)] 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 credit(s)] 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 credit(s)] 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 credit(s)] Prerequisites: 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 credit(s)] 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 credit(s)] 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.
[4 credit(s)] Prerequisite: EEC 512. Basic digital communication techniques, including formatting and baseband transmission, bandpass modulation and demodulation, and synchronization. Advanced modulation techniques, such as power-efficient modulation, spectrally efficient modulation, coded modulation, and spread-spectrum modulation. Introduction to communication link analysis and block codes.
[4 credit(s)] Prerequisite: EEC 651. This course introduces the theory of error control coding for digital transmission in communications. Topics include groups, fields, GF(2), linear block codes, cyclic codes, BCH codes, Reed-Solomon codes, convolutional codes, maximum likelihood decoding of convolutional codes, Viterbi algorithm, sequential decoding of convolutional codes, continuous phase modulation codes, trellis coded modulation, and turbo codes.
[4 credit(s)] Prerequisite: EEC 512. This course presents a coherent and unifying view of the concept of information, conveying a unique understanding of how it can be quantified and measured. Within this context, concepts and principles of information theory as they relate to applications in communication theory, statistics, probability theory, and the theory of investment are introduced.
[4 credit(s)] Prerequisite: EEC 651. Cellular mobile communication concepts and system design fundamentals, mobile radio propagation models, large-scale path loss, small-scale fading, multipath, modulation techniques for mobile radio, equalization, diversity, channel coding, speech coding, multiple access, wireless networking, wireless systems, and standards.
[4 credit(s)] Prerequisite:EEC 514 or undergraduate course in solid state electronics. The objective of this course is to provide the students with an in-depth understanding of the principles of modern solid state electronic devices. Emphasis is on nanoscale devices and devices made of nanoscale materials. The course begins with a brief review of quantum theory of solids, properties of solid nanostructures, and fundamental principles of conventional electronic devices. In-depth discussion on specific nanoscale devices allows students to gain knowledge in the operational principles of state-of-the-art technology in electronic devices, including hot electron transistors, high electron mobility transistors, resonant tunneling diodes, single electron transistors, and molecular devices.
[4 credit(s)] Prerequisite: EEC 571. Steady-state control of power flow. Optimal generating unit commitment. Frequency/active-power control, voltage/reactive power control. Automation generation of interconnected power systems.
[4 credit(s)] Prerequisite: EEC 571. Nonlinear dynamic modeling and control of interconnected power systems in a deregulated environment. Voltage collapse, transient phenomena. Power system stability enhancements, flexible FACTS devices.
[4 credit(s)] Prerequisite: EEC 474 or EEC 572. Power electronic converters in combination with electric machines. Field-oriented induction machine control; stability of induction machines under sine-wave supply; voltage source inverter drives and current source inverter drives.
[4 credit(s)] Prerequisite: EEC 581. Architecture analysis and design from a systems perspective. Topics include memory system design, pipeline design techniques, vector computers, multiple processor systems, and multiprocessor algorithms.
[4 credit(s)] Prerequisite: EEC 581. Overview of distributed computing systems. Topics include networking, interprocess communication, remote procedure calling, name services, distributed time management, and file services. Some new technologies, including ATM networking, internetworks, multicast protocols, microkernel-based distributed operating systems, and distributed-shared memory, are discussed.
[4 credit(s)] Prerequisite: EEC 581. Overview of parallel system organizations and parallel algorithms. Topics include memory structures for parallel systems, interconnection networks, SIMD/MlMD processing, parallel programming languages, mapping and scheduling, parallel algorithms, and case studies.
[4 credit(s)] Prerequisite: EEC 581. This course provides a comprehensive overview of mobile computing, which is likely to become a pervasive part of future computing infrastructures with technical advancements in wireless communication, mobility, and portability. Topics include mobile TCP/IP protocols, mobile ad hoc networks, mobile application architectures, system issues for mobile devices, and some pervasive and ubiquitous computing examples.
[4 credit(s)] Prerequisite: EEC 584. This course provides an extensive overview of secure and dependable distributed computing systems. Topics include computer and network security, faults models, process and data replication, reliable group communication, message logging, checkpointing and restoration, Byzantine fault tolerance and intrusion tolerance.
EEC 696 - Individual Problems In Electrical Engineering
[1-4 credit(s)] Prerequisite: Permission of instructor. Directed study on an individual problem under the supervision of a faculty member. Total credits for this course are limited to eight credit hours. Graded S/F.
[1-9 credit(s)] Prerequisite: Graduate standing in electrical, computer or software engineering or permission of instructor. The Thesis/Dissertation proposal approval form must be on file in the College of Graduate Studies prior to enrollment. Research under the guidance of a faculty member, culminating in the writing of a thesis.
EEC 715 - Principles and Applications of Renewable Energy
[4 credit(s)] Prerequisite: Graduate standing. This course introduces the concepts, principles and applications of various forms of renewable energy technologies to help the students gain a global perspective of the current energy issues and how renewable energy can potentially provide solutions to the issues.
[4 credit(s)] Prerequisite: Graduate standing in electrical engineering or permission of instructor. Studies solar energy as an alternative form of energy and how organic/polymer cells can harvest this energy. Studies the theory behind organic solar cells and as well as research areas within the field including materials, stability and processing.