Catalog
2015-16

Electrical and Computer Engineering

Dr. George C. Giakos
Chair, Department of Electrical and Computer Engineering
Director, Graduate Program

Mission

The Master of Science in Electrical Engineering and the Master of Science in Computer Engineering degree programs are designed to provide a higher degree of mastery of electrical and computer engineering fundamentals, emphasizing practical applications, thereby expanding the students' technological horizons and preparing professionals for advanced level positions and for admission to doctoral programs.

Objectives

The objective of these programs is to prepare graduates for successful and dynamic professional careers through a course of study that provides:

  1. a strong grasp of electrical engineering and computer engineering fundamentals through a diverse and flexible curriculum
  2. skills in practical applications, contemporary industrial needs and emerging technologies
  3. a foundation for increasing professional responsibilities or continued study at the doctoral level 

Admission Requirements

Electrical Engineering Degree

Applicants must possess one of the following:

  1. A baccalaureate degree in electrical engineering from a program accredited by the Engineering Accreditation Commission of ABET, Inc., or from a recognized foreign institution.
  2. A baccalaureate degree in another area of engineering, physics, or mathematics.

Applicants who have a baccalaureate degree in another area of engineering, physics, or mathematics may be admitted into the program provided they complete undergraduate prerequisites specified by the Graduate Program Director. These courses must be completed with a minimum grade point average of 3.00 with no grade lower than C. These courses will not satisfy any requirements for the Master of Science in Electrical Engineering degree. Generally, students must complete prerequisite courses before they are permitted to register for graduate courses. Exceptions require the recommendation of the Graduate Program Director and the approval of the Dean of Engineering.

Computer Engineering Degree

Applicants must possess one of the following:

  1. A baccalaureate degree in computer (or electrical) engineering from a program accredited by the Engineering Accreditation Commission of the Accreditation Board for Engineering and Technology or from a recognized foreign institution.
  2. A baccalaureate degree in another area of engineering, physics or mathematics.

Applicants who have a baccalaureate degree in another area of engineering, mathematics, or physics may be admitted if they have a background which includes nine credits of calculus and three credits of probability. They must also complete undergraduate courses in Computer Programming, Introduction to Digital Systems, and Microcomputers with a minimum grade point average of 3.0 with no grade lower than C (these courses will not satisfy any requirements for the Master of Science in Electrical Engineering degree). Generally, students must complete prerequisite courses before they are permitted to register for graduate courses. Exceptions require the recommendation of the Graduate Program Director and the approval of the Dean of Engineering.

Degree Requirements

A student must complete a minimum of thirty credit hours of graduate course work. Specific requirements follow:

Electrical Engineering Degree

ECEG 701Signals, Systems and Transforms I3
ECEG 702Signals, Systems and Transforms II3
One of the following:3
Radiation and Optics
Probability and Stochastic Processes
Four courses chosen from Electrical Engineering and Electrical and Computer Engineering12
Three courses chosen from Electrical Engineering, Electrical and Computer Engineering, and Computer Engineering9
Total Credits30

Electives may also be selected from the Graduate Core courses with the advice and approval of the Graduate Program Director.

Any modifications to program requirements must be approved by the Graduate Program Director.

Computer Engineering Degree

ECEG 520Computer Architecture I3
ECEG 727Computer Networks3
One of the following:3
Software Engineering
Embedded Systems
Four courses chosen from Electrical and Computer Engineering and Computer Engineering12
Three courses from any offerings by the Electrical and Computer Engineering department, or any Graduate Core course9
Total Credits30

Any modifications to program requirements must be approved by the Graduate Program Director.

Master of Science Degree Description and Options for Electrical Engineering and Computer Engineering

Master of Science students may elect to complete a Master of Science by coursework or by thesis. The coursework option entails 30 course credits; the thesis option entails 24 course credits and 6 master's thesis research credits, ECEG 799. In both cases, the minimum number of total credits is 30.  At this level, research undertaken under the thesis option should exhibit a thorough understanding of advanced scientific thought and an ability to apply advanced engineering design principles, and planning.

Manuscript Presentation 

Degree candidates must present their research to the appointed guidance committee in final manuscript form for official acceptance no later than two weeks before the end of the semester.

Graduate students registered for thesis credits must submit four final bound copies to the Electrical and Computer Engineering Department for necessary signatures one week before the end of the semester.

Certificate Programs

Graduate certificate programs, which consist of prescribed courses in a specific concentration area, are available through the Electrical and Computer Engineering graduate program as follows:

Applied Bioinformatics

Bioelectric Engineering

Robotic Vision, Imaging, and Computer Graphics

Unmanned Autonomous Guided Systems

Cybersecurity Systems 

Embedded Computing

High Performance Computing

Power Systems

Big Data, Data Mining, and Analytics

Unless otherwise noted, courses in these programs may be applied to a Master's of Science Degree in the Electrical and Computer Engineering. While approval of the Graduate Program Director is required to enroll in a graduate course, admission to the Graduate Program is not required to participate in a Certificate Program. It is expected, however, that individuals desiring to take graduate-level courses in a Certificate Program will have a baccalaureate degree in either an engineering field, a science or applied science field, or mathematics, and will meet the pre-requisite requirements of the courses they wish to take in a Certificate Program. Specific information regarding Graduate Electrical and Computer Engineering Certificates is available in the Electrical and Computer Engineering 

CERTIFICATE PROGRAMS 

Graduate certificate programs, which consist of prescribed courses in a specific concentration area, are available through the Electrical and Computer Engineering graduate program as follows:

Applied Bioinformatics;

Bioelectric Engineering; 

Robotic Vision, Imaging, and Computer Graphics;

Unmanned Autonomous Guided Systems;

Cybersecurity Systems; 

Embedded Computing;

High Performance Computing;

Power Systems;

Big Data, Data Mining, and Analytics

Unless otherwise noted, courses in these programs may be applied to a Master's of Science Degree in the Electrical and Computer Engineering. While approval of the Graduate Program Director is required to enroll in a graduate course, admission to the Graduate Program is not required to participate in a Certificate Program. It is expected, however, that individuals desiring to take graduate-level courses in a Certificate Program will have a baccalaureate degree in either an engineering field, a science or applied science field, or mathematics, and will meet the pre-requisite requirements of the courses they wish to take in a Certificate Program. Specific information regarding Graduate Electrical and Computer Engineering Certificates is available on the Electrical and Computer Engineering website.

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Courses

ECEG 520. Computer Architecture I. 3 Credits.

Evolution of computer architecture from the Von Newmann concepts and the CISC machines to the RISC machines. Hardware and Software design methods. Processor design; Data representation and instruction sets. Control design: Hardware and Microprogrammed. Memory organization:Virtual segmentation and cache; system organization: Bus control, I/O and operating systems.

ECEG 521. Applied Parallel Computing. 3 Credits.

A software engineering centric course covering traditional parallel computing with message passing protocols, programming patterns for multi-core processors, application development on graphics processing units, and wide scale distributed computer systems.

ECEG 547. Optical Information Processing Systems. 3 Credits.

Response of linear spatially invariant systems; singal detection by matched filtering, mutual coherence, transform properties of linear optical imaging systems; optical information processing and filtering; linear holography.

ECEG 548. Fiber Optics Communication. 3 Credits.

Optical fiber structures and physical characteristics; electromagnetic waveguiding properties and modes, fiber materials, loss mechanisms, and dispersion. Semiconductor laser and LED sources and photodetectors. Connectors, Fiber measurements, communicaiton aspects of fiber transmission. Fiber system examples and design procedures.

ECEG 701. Signals, Systems and Transforms I. 3 Credits.

Description and analysis of continuous-time signals and systems in the time and the frequency domains; Laplace transform; inversion of transforms by complex integration; application to lumped and distributed parameter systems; analysis of continuous-time linear systems using state space techniques; controllability and observability; stability analysis.

ECEG 702. Signals, Systems and Transforms II. 3 Credits.

Discrete-time signals and systems; discrete convolution; sampling and quantizing;Z-transform; discrete Fourier transform; Fast Fourier transform; state space techniques for discrete-time systems; controllability and observability; stability.

ECEG 706. Radiation and Optics. 3 Credits.

Radiation and simple radiating systems, wave optics, interference and diffraction: first order and higher order coherence functions; Fourier optics, properties of coherent optical beams.

ECEG 709. Linear Mathematical Methods. 3 Credits.

Matrix calculations; linear systems and linear vector spaces; operators and their representation; function of operators and matrices; systems of differential equations; Eigen function representations; electrical engineering applications.

ECEG 710. Probability and Stochastic Processes. 3 Credits.

Random variables; distribution and density functions; functions of random variables; random processes; stationarity, ergodicity; correlation functions and power spectra; noise theory; system analysis with stochastic inputs; Gaussian, Markov and Poisson processes.

ECEG 715. Power Systems. 3 Credits.

Analysis, design and applications of analog integrated circuits. Operational amplifiers, voltage regulators, VCOs, phase locked loops and circuits for consumer electronics are considered. Design principles, including feedback theory and computer aided design are investigated and implemented in computer calculations.

ECEG 716. Fuzzy Systems. 3 Credits.

A study of the concept of fuzzy set theory including operations on fuzzy sets, fuzzy relations, fuzzy measures, fuzzy logic, with emphasis on engineering applications.

ECEG 721. Embedded Systems. 3 Credits.

Design of embedded systems including system level modeling/specification, and architecture synthesis, compilation for area/power/performance, code compression, scheduling and real-time operating systems, and verification and functional validation of embedded systems. Case studies and platform-based design encompassing microcontrollers/digital signal processors, distributed computing and peripherals.

ECEG 722. Switching and Automata Theory. 3 Credits.

Analysis and synthesis of finite state machines;Turing and universal machines; information lossless machines; modular realization of machines; introduction to machine languages and computability.

ECEG 723. Software Engineering. 3 Credits.

The evolution of programming from art to science. Program design tools and techniques; structured programming and modular design; complexity, storage, and processing-time analysis; program testing and debugging; software reliability, repair and availability.

ECEG 724. Computer Architecture II. 3 Credits.

Computer Systems; multi processors and pipelined processors; array processors; computer networks; techniques for analysis of computer systems.

ECEG 725. Microprocessor Systems. 3 Credits.

Detailed study of the 8086 and 68000 families of 16-bit microprocessors, including their architecture, instruction sets, programming, interfacing, and interrupt handling. Applications to communications, control, and instrumentation. Selected additional topics such as bit-slice microprocessors and graphics processors.Prerequisite or Co-requisite:ECEG 520 or equivalent or approval of Instructor.

ECEG 726. Transmission of Digital Data. 3 Credits.

The Architecture of Digital DataTransmission Systems. The protocols:TCP/IP models.The physical layer:Wire, cable, fiber, terrestrial microwave and satellite microwave.The key concepts: bandwidth, noise, channel capacity and error detection and correction. The applications:modulation and modems. Multiplexing: FDM, slotted TDM, and statistical TDM.The data link: asynchronous and synchronous transmission, circuit switching, packet switching.

ECEG 727. Computer Networks. 3 Credits.

A structured coverage of Data and Computer Communications Networks. Protocols from the physical and data link layers to the applications layer. Network modeling and fundamentals of performance analysis. Time delay and reliability. Design issues, tools, and procedures regarding capacity assignments, terminal assignment, and switching node location. Routing. Examples from high speed Local Area Networks.

ECEG 728. Operating Systems. 3 Credits.

A study of the modular design of operating systems; the concept of interrupts, multiple processors and I/O programming; memory management techniques, demand paging and virtual memory; job scheduling algorithms, race conditions between processes; file systems, analytic tools for the evaluation of operating systems. Prerequisite: ECEG 520 or equivalent.

ECEG 729. Artifical Intelligence. 3 Credits.

Computer-based systems with the potential to learn, comprehend, interpret, and arrive at conclusions in a manner considered intelligent if a person was making decisions. Topics will be taken from expert systems, fuzzy logic, and neural nets with emphasis on machine applications.

ECEG 730. Compiler Design.. 3 Credits.

Overview of compilers; programming languages and the syntactic specification of programming languages; lexical analysis, parsing techniques; top down parsing; recursive descent parsing; shift-reduce parsing; error recovery techniques; code generation and optimization; design and implementation of a compiler carried out as a class project.

ECEG 731. Control Systems. 3 Credits.

Multivariable systems; controllability and observability; observer design and pole assignment; stability analysis.

ECEG 732. Optimal Control Theory. 3 Credits.

Performance measures: dynamic programming and its application to optimal control problems; calculus of variations; minimum principle; numerical techniques for finding optimal controls and trajectories. Prerequisite:ENGG 630.

ECEG 733. Digital Control System Analysis and Design. 3 Credits.

State-space representation of discrete-time systems. Stability, observability, controllability. Digital controller design using transform techniques. Statespace design methods.

ECEG 734. Bulk Power System Operation. 3 Credits.

Operation of the bulk electric power system in North America. Basic types of high voltage equipment and station configurations. Methods and equipment to control power flow and voltage levels on the power system.

ECEG 735. Direct Energy Conversion. 3 Credits.

Principles of energy conversion; thermoelectric, photovoltaic, and thermionic generators; magneto-hydodynamic power generators: solar and nuclear energy conversion.

ECEG 736. Power Systems I. 3 Credits.

Steady state operation of electric power systems: power network representation; load flow analysis; economic dispatch and steady state control of energy systems.

ECEG 737. NERC Standards and Operation. 3 Credits.

North American Electric Reliability Corporation (NERC) standards and related compliance concerns in relationship to operational principles of the power systems. Pre-requisite: ECEG 736 or equivalent.

ECEG 738. Power Systems II. 3 Credits.

Analysis of faulted power systems; symmetrical and asymmetrical systems; transient stability, emergency control and system protection. Prerequisite: ECEG 736 or approval of Instructor.

ECEG 739. Relay Systems. 3 Credits.

Power system operation, three-phase system calculations and modeling of power system elements. Protective devices and their principles of operation. Pilot protection of transmission lines, generator protection and transformer protection. Pre-requisite: ECEG 736 or equivalent.

ECEG 740. Electro-Optics. 3 Credits.

Propagation of rays and beams, optical resonators; theory of laser oscillation; modulation of laser beams; optical detection.

ECEG 741. Quantum Electronics. 3 Credits.

Interaction of radiation with matter, spontaneous and simulated emission and absorption; semi-classical theory of lasers; traveling wave and cavity lasers; laser saturation; noise limitation of light detectors and amplifiers.

ECEG 742. Computer Vision and Imaging. 3 Credits.

Detection, image formation, and engineering design of vision and imaging sensors and systems. Unmanned aerial and underwater imaging systems, biomedical image recognition, medical image understanding, inspection, and robotics applications.

ECEG 743. Biomedical Imaging Systems. 3 Credits.

Engineering and physical principles of biomedical modalities, as applied to clinical diagnostics and pharmaceutics, gene arrays and Omics imaging technologies central to the detection process, system design, data analysis and classification. Clinical examples.

ECEG 744. Signal Detection and Estimation. 3 Credits.

Hypothesis testing; decision criteria: North and Wiener filtering; detection and estimation of signals with known and random parameters in white and colored Gaussian noise; recursive estimation of constant and time-varying signal parameters; Kalman-Bucy filtering; applications to communication systems, radar and biological signal processing. Prerequisite: ECEG 710.

ECEG 745. Device Miniaturization. 3 Credits.

Engineering design of miniaturized devices, operating on electrical, and quantum principles, with reduced form factor and weight, while reducing power consumption and boosting performance. Integration trends, functionality, scalability, reconfigurability.

ECEG 746. Digital Signal Processing. 3 Credits.

Discrete time signals and systems analysis' infinite and finite impulse response digital filter design techniques, random discrete time signals and spectral analysis, detection and estimation of signals in noise Kalman filters.

ECEG 747. Image Processing. 3 Credits.

Digital image processing for manipulation and enhancement of images, development of advanced techniques for object recognition, object classification, image reconstruction, image compression, and feature extraction. Computational analytic and interpretive approaches to optimize extraction and use of imaging data. Pre-requisite: ECEG 702 or ECEG 746.

ECEG 748. Applied Machine Learning. 3 Credits.

Design of systems that learn from data and improve with experience. Fundamental concepts and methods of machine learning, including the description and analysis of several modern algorithms, their theoretical basis, and the illustration of their applications. Supervised and unsupervised machine learning.

ECEG 749. Unmanned Autonomous Vehicles. 3 Credits.

History of the UAV, basics of mechatronic design, common sensor payloads, high-definition cameras, sonars, lidars, vision and imaging design parameters. Major design challenges, laws and regulations, operations and safety.

ECEG 750. Antenna Engineering. 3 Credits.

Analysis and design of various antenna types such as dipoles, horns, reflectors, apertures, microstrip and wire antennas. Electronically scanned arrays. Radiation pattern antenna impedance, gain, directivity, bandwidth, beam width, and frequency dependence. Reciprocity between receiving and transmitting antennas. Amplitude tapering to achieve desired sidelobe characteristics.

ECEG 751. Microwave Circuits. 3 Credits.

Transmission lines and waveguides; circuit representation of waveguide systems using impedance and scattering formulation, impedance transformation and matching; Faraday rotation in ferrites; passive microwave devices; terminations; attenuators, couplers, circulators, the magic tee; emphasis on developing a circuit view point for analyzing microwave devices.

ECEG 752. Pharmaceutical Bioinformatics. 3 Credits.

Computer based technologies and informatics and computational methods that interface with all areas related to the discovery and development drugs, for understanding their functions, mapping processes of the cells and understanding how to use these properties to effectively develop novel drugs.

ECEG 753. Omics, Data, and Bioinformatics. 3 Credits.

Introduction to Omics technologies. Fundamental aspects of Omics and bioinformatics: data standardization, data sharing, storing Omics data appropriately and exploring Omics data in bioinformatics, high-throughput data. Bioinformatics and cancer research.

ECEG 754. Big Data, Mining, Analytics. 3 Credits.

Extraction of useful information from spatio-temporal data. Temporality in data bases as well as spatio-temporal data representation, similarity computation, big data analysis, classification, clustering, pattern discovery and prediction.

ECEG 755. Bionanophotonics. 3 Credits.

Nanoparticles for optical bioimaging, optical diagnostics and light guided and activated therapy. Use of nanoparticles platforms for intracellular diagnostics and targeted drug delivery, PEBBLE nonsensors.

ECEG 756. Drug Delivery Systems. 3 Credits.

Instrumentation, devices, and techniques to characterize the physiochemical, optical properties, and in vitro immunological, biological, and stability characteristics of drugs delivery, proteins, and nanomaterials.

ECEG 757. Bio-inspired Vision Systems. 3 Credits.

Introduction to autonomous computer vision systems. Vision-based bio-inspired systems, guidance, and control, for unmanned aerial vehicles (UAVs), unmanned underwater vehicles (UWVs), and robotic applications.

ECEG 758. Cybersecurity Systems. 3 Credits.

Cybersecurity as it relates to systems and then on the engineering principles for secure systems. The course focuses on the differences between threats and vulnerabilities, examples of cybersecurity attacks and events, frameworks, requirements and principles for securing systems.

ECEG 759. Quantum Cryptography. 3 Credits.

Methods that seek to solve the problem of how to securely send cryptographic keys between two parties by encoding them within light particles, or photons. Quantum cryptography and key distribution technique.

ECEG 760. Data and Applications Security. 3 Credits.

Principles, technologies, tools and trends for data and applications security. Biometrics; digital forensics; secure e-commerce; secure sensor information management.

ECEG 760. Data and Applications Security. 3 Credits.

Principles, technologies, tools and trends for data and applications security. Biometrics; digital forensics; secure e-commerce; secure sensor information management.

ECEG 761. Network Security Systems. 3 Credits.

Theoretical and practical aspects of network security. Security of TCP/IP applications; firewalls; wireless LAN security; denial-of-service defense.

ECEG 762. Modeling and Simulation. 3 Credits.

Review of probability distributions; random number testing and generation; mathematical models; Markov chains; simulation methods; data analysis; Monte Carlo methods.

ECEG 763. Data Structures and Computer Algorithms. 3 Credits.

Sequential and parallel algorithms for non-numerical and numerical applications. Algorithm complexity analysis, basic data structures, searching, sorting graph, and numerical algorithms.

ECEG 764. Data Base Management Systems (DBMS). 3 Credits.

Software and hardware design problems for DBMS; an overview of data base systems, data manipulation languages, normal forms, machine architectures.

ECEG 765. Computer Graphics. 3 Credits.

Basic concepts of computer graphics systems including display devices, graphics software and the display of solid object. Point plotting procedures; line drawing algorithms and circle generators. Displays and controllers; storage and refresh devices. Two dimensional transformations; clipping and windowing. Graphics software; windowing functions, display files; geometric models. Interactive raster graphics. Three dimensional graphics including surface display, perspective and hidden surface removal.

ECEG 792. Advanced Projects in Electrical or Computer Engineering. 3 Credits.

A project course of an advanced nature conducted by assigning individual investigations to be performed by the student under the supervision of a staff member; consists of theoretical and experimental investigations in specialized fields of electrical engineering of interest to the student.

ECEG 793. Advanced Study in Electrical or Computer Engineering. 3 Credits.

Individual study of a selected topic in electrical engineering under the supervision of a staff member.

ECEG 794. Selected Topics in Electrical Engineering. 3 Credits.

Topics of current interest to graduate Electrical Engineering students; subject matter will be announced in advance of semester offering.

ECEG 795. Special Topic: in Computer Engineering. 3 Credits.

Topics of current interest to graduate Computer Engineering students; subject matter will be announced in advance of semester offering.

ECEG 796. Special Topic: in Electrical and Computer Engineering. 3 Credits.

ECEG 799. Master's Thesis Research. 1-6 Credit.

A Master of Science thesis option entails 24 course credits and 6 master’s research credits, namely, ECEG 799. Research undertaken under the thesis option should exhibit a thorough understanding of advanced scientific thought and an ability to apply advanced engineering design principles, and planning.

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