eencourses

Electronics Engineering Course Information

EEE 100	Introduction to Engineering The Introduction to Engineering course is an activity-based course with a number of life skills exercises, and hands-on activities Integrated into the lectures. The intent of this course is to familiarize students with many of the skills that engineers must perform on a daily basis in the workplace with emphasis on Engineering ethics and introductory concepts in Electronics and optical Engineering.
EEE 101	Engineering Problem Solving This course will provide an overview of the salient math topics most heavily used in the core sophomore-level Engineering courses. These include algebraic manipulation of Engineering equations, trigonometry, vectors and complex numbers, sinusoids and harmonic Signals, Systems of equations and matrices, differentiation, integration and differential equations. All math topics will be presented within the context of an Engineering application, and reinforced through extensive examples of their use in the core Engineering courses. This course will also provide an Introduction to the Engineering analysis software MATLAB, which is used throughout the Engineering curriculum.
ENG 101	College English I Prerequisite: Satisfactory Scoring on Placement Examination or Promotion from ENG 100 Experiences in multiple-draft writing of expository themes through the writing-process approach. Focus on thesis analysis and development, and analyses of audience, purpose, tone, style, and diction. Selected readings included.
ENG 102	College English II Prerequisite: ENG 101 Development of critical and analytical skills in communication which provides experience in argumentative reading and writing and in techniques of research.
EEE 102	Engineering Use of Computers Prerequisite: MTH 184 Corequisite: MTH 251 Introduction to Use of Computers to model Systems and to solve Engineering problems, including electrical and interdisciplinary problems. Emphasis on numerical models and methods using FORTRAN as well as roots of equations, matrix operations, integration, etc.
EEE 201	Electrical Network Theory I Prerequisite: PHY 161, PHY 161L, MTH 251 Corequisite: EEE 201L This course is an Introduction to the basic principles on DC electrical circuit theory for Electronics Engineering and technology majors. The focus of the course is the study of methods for analyzing resistive Circuits. Circuits incorporating independent and dependent energy sources are studied. Methods covered include: Ohm’s Law, Kirchhoff’s Laws, nodal analysis, loop analysis, superposition, Thevenin’s Theorem, Norton’s’ Theorem, and the maximum power transfer principle. Computer software tools such as MATLAB and MultiSim will be introduced.
EEE 201L	Electrical Network Lab I Corequisite: EEE 201 This course provides hands-on experience in constructing, troubleshooting, and testing simple DC electrical Circuits. The student experiences circuit theory in action by performing a series of increasingly difficult experiments. Basic instruments, such as the digital multimeter, DC power supply, and Laboratory breadboard are introduced and utilized.
EEE 202	Electrical Network Theory II Prerequisite: EEE 201, EEE 201L Corequisite: EEE 202L This is the second course in electrical circuit theory for Electronics Engineering and technology majors. The course provides the student with an understanding of advanced electrical circuit concepts. The following topics are studied: capacitors, inductors, first and second order transient Circuits, AC circuit analysis, and power analysis.
EEE 202L	Electrical Network Theory II LAB (SO) Corequisite: EEE 202 This is the Laboratory that accompanies EEE 202 Electrical Networks Theory II. This course provides the student with hands-on experience with advanced electrical circuit components, measurement techniques, and data collection. The student will construct advanced electrical Circuits that illustrate principles covered in the lecture. to successfully complete the course, the student will be required to perform a series of experiments of increasing difficulty. A formal report is required for each experiment.
EEE 211	Material Science Prerequisite: CHM 221 or CHM 210 This course introduces students in the optical and Electronics Engineering programs to concepts that are necessary to understand important ideas in materials science and Engineering. Also, this course relates these concepts to Engineering Design and manufacturing of electronic and photonic devices.
EEE 231	Digital Logic Design PrerequisiteS: EEE 201, EEE 201L This course involves the study of number Systems, binary arithmetic and codes, Boolean algebraic simplification, Karnaugh Maps, and flip-flops. The Design and analysis of synchronous and asynchronous sequential Circuits, counters, and shift registers are also studied.
EEE 301	Electronic Devices (FO) Prerequisite: EEE 202, EEE 202L Corequisite: EEE 301L This course provides an Introduction to the theory and application of Electronic Devices, linear equivalent Circuits, amplifier and bias considerations, frequency response of amplifiers, and Integrated Circuits, as well as the concept of electronic circuit Design to meet prescribed specifications. Computer modeling of electronic Circuits using MultiSim or an equivalent software will be implemented in this course.
EEE 203	Electronic Principles (SO) Prerequisite: EEE 201 This is the second Electronics Engineering course for Optical Engineering majors. This course provides the student with advanced concepts of circuit theory as well as an Introduction to electron devices. The topics covered include first and second order transient Circuits, AC circuit analysis, diodes, transistors, and operational amplifier. Computer modeling of electronic Circuits will be introduced.
EEE 301L	Electronic Devices Laboratory (FO) Corequisite: EEE 301 This is the Laboratory that accompanies EEE 301 Engineering Electronics I. The goal of this course is to provide the student hands-on experience with electronic components such as BJT’S, FET’S and diodes. The student will Design and construct electronic Circuits that will illustrate principles covered in the lecture. This course includes practical examinations, Laboratory experiments, and report preparation.
EEE 302	MicroElectronics Prerequisite: EEE 301, EEE 301L Corequisite: EEE 302L This is the second course in Electronics for Electronics Engineering and technology majors. The goal of this course is to provide the student with an understanding of advanced Electronics concepts. The following topics are covered: multistage amplifiers, frequency response using Bode plots, feedback, oscillators, and active filters. to successfully complete this course, the student must demonstrate a working knowledge of the concepts covered through assignments and written examinations.
EEE 302L	MicroElectronics Laboratory (SO) Corequisite: EEE 302 This is the Laboratory that accompanies EEE 302 Engineering Electronics II. The goal of this course is to provide the student additional hands-on experience with more advanced electronic Circuits. The student will construct advanced Electronics Circuits that will illustrate principles covered in the lecture. to successfully complete this course, the student will be required to perform a series of experiments of increasing difficulty. A formal report is required to be turned in one (1) week after performing an experiment.
EEE 305	Signals & Systems PrerequisiteS: EEE 202; EEE 202L, MTH 372 This course is an Introduction to system representations and analysis, representation of Signals, methods of linear system analysis using convolution, Fourier series and transforms, and Z-transforms. Formulation and solution of state- variable equations as well as Introduction to amplitude and analog pulse modulation are also studied. A Design project is required.
EEE 311	Engineering Economics Prerequisite: MTH 251, Junior/Senior Standing This course provides an Introduction to economic principles and techniques used in making decisions about the acquisition and retirement of capital goods by government and industry. Special emphasis is given to methods of analysis based on the mathematics of compound interest. Study of time value of money, annual cost, present worth, future value, capitalized cost, along with break- even analysis, evaluation, and depreciation, and ethics in Economics is covered. The class will also include entrepreneurial topics, such as business plans, sources of al and marketing strategies.
EEE 321	Elecromagnetic Field Theory PrerequisiteS: PHY 161, PHY 161L, MTH 372 This course involves the study of static and propagating electomagnetic fields, a review of Maxwell’s equations, propagation of EM-fields in dielectric materials, transmission theory.
EEE 331	Microprocessors (FO) PrerequisiteS: EEE 231 Corequisite: EEE 331L This course is a study of Microprocessors and microcontrollers in relation to computers, including the description of the architecture of a microprocessor. Buses, memory mapping, registers, flags, interrupts, instruction sets, addressing modes, Macros, timing diagrams, supporting chips, and interfacing are also covered.
EEE 331L	Microprocessors Laboratory (FO) Corequisite: EEE 331 Procedures for reliable digital microcomputer Design, understanding manufacturers’ specifications, use of special test equipment, machine representation of numbers, assembler basics, experiments to assemble, debug, and interface with peripherals are studied in this course.
EEE 333	Digtial Integrated Circuits PrerequisiteS: EEE 331 Corequisite: EEE 302, EEE 302L, EEE 333L This course involves fundamentals of CMOS VLSI Design and analysis. Steps involved in Semiconductor device construction, operation, use in digital Circuits and logical flow from Systems perspective will be studied.
EEE 333L	Digital Integrated Circuits Laboratory (SO) PrerequisiteS: EEE 331, EEE 331L CorequisiteS: EEE 302, EEE 333 This course is intended to augment the concepts taught in EEE 333 through hands-on experiments. Characteristics of the discrete digital Integrated Circuits are explored through Design of combinational and sequential Circuits. Students will Design Integrated Circuits using VLSI simulation software.
EEE 350	Scientific Instrumentation PrerequisiteS: EEE 102 or CSC 170; EEE 201 or equivalent This course covers Integrated hardware and software applications to communicate and control instruments. Communication interface standards such as IEEN- GPIB and RS232, and use of data acquisition (DAQ) boards will be studied. Timing issues, real-time data acquisition and instrument control will also be covered.
EEE 351	Communications Engineering (SO) Prerequisite: EEE 301, EEE 301L, EEE 305 This course consists of the study of the following concepts: amplitude, frequency, phase, frequency modulation, phase modulation, sampling, pulse modification, time division multiplexing, detection, frequency mixing, filters, receivers, transmitters, and noise analysis.
MTH 351-E	Probability and Statistics I Prerequisite: MTH 251 First of a two-semester sequence of Probability and mathematical statistics, primarily for majors. Introduction to Probability, univariate and multivariate Probability distributions and their properties, distributions of functions of random variables, random samples and sampling distributions
EEE 371	Control Systems PrerequisiteS: EEE 302, 302L, 305 Introduction to control Systems; mathematical models, feedback control Systems characteristics and stability, root locus, frequency responses, stability in the frequency domain analysis.
EEE 401	Electronics Engineering Seminar (FO) Prerequisite: Senior Standing This course provides an Introduction to various aspects of Engineering practice, Engineering ethics, and career opportunities through invited lectures.
EEE 402	Power Electronics This course is being added to the curriculum to aid in the enhancement of the students’ knowledge of Electronics required for various power delivery Systems.
EEE 431	Microcontrollers PrerequisiteS: EEE 231 and EEE 231L This course is being added to the curriculum to replace EEE 331 Microprocessor and to ensure our program is aligned with other Electrical and Electronics Engineering Programs.
EEE 451	Communication Engineering PrerequisiteS: EEE 351 This course will introduce wireless communication technologies. topics covered include: transmission fundamentals, signal encoding techniques, coding and error control, cellular wireless networks, Mobile IP and wireless access protocols.
EEE 462	Semiconductor Processing Technology PrerequisiteS: EEE 301 or EEE 203; EEE 211; or Permission of instructor This course presents the fundamentals of Semiconductor processing technology, including Semiconductor substrates, microfabrication techniques, and process integration. Lithography, oxidation, diffusion, ion implantation, methods of film deposition and etching, metal interconnections, measurement techniques and packaging will be discussed.
EEE 463	Semiconductor Theory and Devices(SO) Prerequisite: EEE 211, EEE 301 or Equivalent This course presents fundamental Semiconductor devices physics and the operation principles of Semiconductor devices. It focuses on the operation of devices such as diodes, field effect transistors, and bipolar junction transistors. It also covers optoElectronic Devices such as photodetectors, lightemitting diodes, and solar cells.
EEE 470	Introduction to Game Design and Development This course introduces students to Game Design and development concepts.
EEE 471	3D Game Programming This is a project-oriented course on 3D Game Programming. Students will work in teams to Design, implement and test a three- dimensional Game with interactivity, Game state diagrams, animation, sound, and constraints.
EEE 475	Design of Roboic Systems PrerequisiteS: EEE 231, CSC 170 or EEE 102 This course will focus on core principles in the Design and application of robotic Systems. The course will build upon principles in electrical This course will focus on core principles in the Design and development of robotic Systems. The course will build upon principles in electrical Engineering, mechanics, and computer science.
EEE 476	Renewable Bio Energy This course will cover the processes for recovery, productions, and usage of bio fuels and bio products generated from these three types of biomasses to ultimately produce heat, electricity, transportation fuel, chemicals, and materials.
EEE 481	Biomedical Engineering Micro-devices and Systems Prerequisite OR Corequisite: PHY160 and CHM 210 or 221; Junior or Senior level standing; or Permission of Instructor This course introduces the concepts of biomedical Engineering devices, especially for sensing and modulation applications. The course covers electronic or optical transduction techniques for applications such as neurochemicals, biopotentials and cellular ions. The course also includes a Laboratory component for the Design and fabrication of microscale biomedical sensors.
EEE 482	Bioelectrics This course covers the important concepts of bio-electrics, bioelectric system modeling and diagnosis. Although emphasis will be given to cardiovascular system, students will be able to apply the principles of bioelectricity to any bioelectrical system.
EEE 498	Senior Project I Prerequisite: EEE 302, EEE 302L In this course students plan and Design capstone Engineering projects incorporating realistic and diverse constraints of technical, budgetary, and social aspects. Both written reports and oral presentations are required.
EEE 499	Senior Project II Prerequisite: EEE 498 This course is the implementation phase of capstone projects Designed in EEE 498. Demonstration of the final working project is required along with a written report and oral presentation.
EEN 541	Biomedical Engineering Devices and Systems This course introduces graduate students to the concepts and theory of biomedical Engineering devices, especially for sensing and modulation purposes. The course provides classroom lectures on the operation mechanism and applications of micro-sensors and modulators for glucose, neurochemicals, bio-potentials, and cellular ions using electronic or optical transduction. In addition to classroom lectures, students will have a Laboratory component for the Design and fabrication of microscale biomedical sensors. Students will also conduct team projects to Design, fabricate and analyze Engineering devices and Systems.
EEN 502	Control Systems Study of the dynamics of linear, closed-loop Systems; mechanical, electrical, hydraulic, and other servo Systems. Analysis of transfer functions; stability theory. Considers compensation methods.
EEN 581	Analog Integrated Circuits Prerequisite: Graduate Course 3 credits topics include Design and analysis of analog Integrated Circuits; feedback amplifier analysis and Design, including stability, compensation; layout and floor planning issues associated with mixed-signal IC Design; selected applications of analog Circuits such as A/D and D/A converters, amplifiers, current sources; extensive use of CAD tools for Design entry, simulation; and creation of an analog Integrated circuit Design project.
EEN 582	Bioelectrics 3 credits Basic electrical Engineering principles will be applied  to understand how electrical Signals are generated in a biological cell and their role in proper functioning of various bioelectric Systems in our body. This course covers the important concepts of bioelectrics, bioelectric system modeling and diagnosis. Although emphasis will be  given to cardiovascular system, students will be able to apply the principles of bioelectricity to any bioelectrical system.
EEN 531	Microcontrollers Prerequisite: EEN 231 Digital Logical Design or equivalent A hands-on approach to microprocessor and peripheral system programming, I/O interfacing, and interrupt management. A sequence of projects requiring the programming and integration of a microcontroller- based system in conducted. Project assignments require a microcontroller evaluation board and accessories supplied by the student.
EEN 570	Introduction to Gaming Design This course introduces students to Game Design and development concepts. topics include the history of Games, genres, play elements, story and character development, Game play and storyboard Design, level abd user interface Design, and the Game Design.
EEN 532	Advanced Digial Design Prerequisite: Graduate Course 3 credits Analyze digital hardware and Design; digital system organization; digital technologies; and testing. Introduction to digital Design issues in the context of VLSI Systems. Introduction to a Design methodology that encompasses the range from behavior models to circuit simulation. A hardware Design project is included.
EEN 571	3D Game Programming This is a project-oriented course on 3D Game programming. Students will work in teams to Design, implement and test- dimensional Game with interactivity, Game state diagram, animation, sound, and constraints. Students will also learn the basics of graphic Design and animation.
EEN 551	Communications Systems Engineering Prerequisite: Graduate Course 3 credits to present the fundamentals of modern digital communication Systems and evaluate their performance. topics include a brief review of random processes theory, principles of optimum receiver Design for discrete and continuous messages, matched filters and correlation receivers, signal Design, and error performance for various signal geometries. The course also treats aspects of system Design such as propagation, link power calculations, noise models, RF components, and antennas.
EEN 562	Semiconductor Processing Technology This course presents the fundamentals of Semiconductor processing technology, including Semiconductor substrates, micro fabrication techniques, and process integration. Lithography, oxidation, diffusion, ion implantation, methods of film deposition and etching, metal interconnections, measurement techniques and packaging will be discussed. Future trends and challenges in Semiconductor manufacturing will also be discussed. Modeling of the fabrication of semi-conductor devices will be performed using a process simulation program. A Design project is required in this course.
EEN 583	VLSI Systems Design Prerequisite: Graduate Course 3 credits Introduction, Design tools, the CMOS transistor, fabrication, layout and Design rules implementing logic in CMOS, Design of adders, dynamic CMOS logic high speed adders and ALUs, CMOS transistor theory, circuit characterization, delay estimation, CMOS performance optimization, clocking strategies, other building blocks and memory, control Design, electrical effects, Introduction to Design verification, Introduction to testing, Design of high performance Circuits, low power Design high performance processor Design, Introduction to timing verification, Introduction to formal verification, verification of large Designs, Design for testability, Design of asynchronous Circuits, future trends.
EEN 590	Research Methods 1 credit Introduces students to the various styles of technical writing. Style manuals used for master’s theses at Norfolk State and the standard technical style manuals that are used for technical journals will be introduced. Students will also learn how to do detailed database searches on technical topics. Exhaustive bibliographic studies of technical issues will be developed.
EEN 601	Systems Modeling Principles of Systems and biology modeling will be covered in this course. Various numerical techniques for solving a system of couples differential equations commonly encountered in biomedical Systems will be covered. Practical aspects related to numerical implement on a computer such as solver methods, memory requirements and accuracy will also be covered.
EEN 602	Principles of Modeling and Simulation This course introduces students to the major areas of simulation and the languages and Systems used in these areas. Areas of simulation to be covered include Gaming, military, health, network, business processes and transportation. The types of simulation software to be discussed include process oriented, discrete event oriented, general purpose, and simulation environments.
EEN 603	PC Based Instrumentation Prerequisite: Approval of instructor. This course gives graduate students hands-on knowledge in Designing instrumentation Systems for computer-based data acquisition and control. Sampling and data collection analysis are reviewed in the context of real world scenarios. Memory and ports in Microcomputer Systems are also covered. Programmable parallel ports and handshake Input/Output are presented as well as data structures in a graphical programming language. Computer interfacing using a graphical programming language with applications involving Digital to Analog Conversion (DAC), Analog to Digital Conversion (ADC), Digital Input Output (DIO), Serial Ports, and the general purpose instrument bus (GPIB) will be introduced.
EEN 610	Advanced Engineering Math This course covers advanced  mathematical tools and techniques for Electronics Engineering including linear algebra, advanced vector calculus, complex variable theory ordinary and partial differential equations, and integral transform, emphasis will be on using software such as MATLAB and Mathematical for solving Engineering problems.
EEN 611	Computer Graphics in Engineering Prerequisite: Graduate Course 3 credits Analyzes display devices, line and circle generators; clipping and windowing; data structures; 2-D picture transformations; hidden line and surface algorithm; shading algorithms; free form surfaces; color graphics; 3-D picture transformation.
EEN 612	Digital Image Processing Prerequisite: Graduate Course 3 credits An Introduction to the theory of multidimensional signal processing and digital image processing, including key applications in multimedia products and services, and teleCommunications.
EEN 613	Advanced Computer Vision Prerequisite: Graduate Course 3 credits Studies automated reconstruction of imaged objects and computer interpretation of imaged scenes; techniques for three-dimensional object reconstructional computing motion parameters from sequences of images; computational frameworks for vision tasks such as regularization, and stochastic relaxation; approaches for autonomous navigation; depth image analysis; novel image techniques and applications; parallel architectures for computer vision.
EEN 614	Neural Networks Prerequisite: Graduate Course 3 credits Provides a working knowledge of the fundamental theory, Design and applications of Artificial Neural Networks (ANN). topics include the major general architectures: backpropagation, competitive learning, counterpropagation, etc. Learning rules such as Hebbian, Widrow-Hoff, generalized delta, Kohonen linear and auto associators, etc., are presented. Specific architectures such as the Neocognitron, Hopfield-Tank, etc., are included. Hardware implementation is considered.
EEN 621	Elecromagnetic Field Theory Prerequisite: Graduate Course 3 credits topics include techniques for solving and analyzing Engineering electromagnetic Systems; relation of fundamental concepts of Elecromagnetic Field Theory and circuit theory, including duality, equivalence principles, reciprocity, and Green's functions; applications of electromagnetic principles to antennas, waveguide discontinuities, and equivalent impedance calculations.
EEN 631	Advanced Digital Signal Processing Prerequisite: Graduate Course 3 credits Topics include a review of matrix analysis tools, the elements of estimation theory, and the Cramer-Rao Bound; spectral estimation, especially nonparametric methods; parametric methods for rational and line spectra; spatial spectra analysis and adaptive filtering, especially least measures (LMS) and recurvsive least squares (RLS) algorithms.
EEN 632	Advanced Digital Design Prerequisite: EEN 231 Digital Logical Design, or equivalent; formal programming background Analysis of digital hardware and Design; digital system organization; digital technologies; and testing. Use a hardware description language to introduce Design methodology that encompasses the range from structural and behavioral models to Design simulation. A hardware Design project is included.
EEN 640	Embedded Systems Prerequisite: EEN 531 Microcontrollers This course will cover advanced topics in the interfacing of microcomputers (Motorola 6811 or equivalent) and their use as real time embedded Systems. topics covered include Serial I/O devices, serial Communications interfaces and their applications, synchronous communication using SPI, memory interfacing, and embedded Systems applications.
EEN 641	Computer Architecture Prerequisite: Graduate Course 3 credits An Introduction to computer architectures. Analysis and Design of computer subSystems including central processing units, memories and input/output subSystems. Important concepts include data paths, computer arithmetic, instruction cycles, pipelining, virtual and cache memories, direct memory access and controller Design.
EEN 642	Computer Communications Prerequisite: Graduate Course 3 credits Analysis and modeling of computer data communication Systems. topics include modulation, transmission over voice-grade Circuits, methods for increasing channel capacity, packet and asynchronous transfer mode (ATM) switching, and modes of local area networks (LANs). Additional topics include information codes, error correction, reliability, data compression and queuing theory.
EEN 643	Micrcomputer for Real-Time Applications Prerequisite: Graduate Course 3 credits Introduction to Microprocessors, Structures of 80X86 Processors. Microcomputer programming methodologies. Memory and input/output interfacing Peripheral devices. PC based system for data acquisition and control. Introduction to DOS operating system. Assembly language programming Microcomputers for monitoring and control of real-time system. Trends in parallel processing architecture and operating system for multi-processor microcomputers
EEN 645	Communications Networks This course will introduce communication networks technologies. topics covered include: OSI-RM; Network architectures and protocols (LAN< MAN< WAN); reliable transmission protocols at the data control layer; congestion and flow control; routing algorithms; Mobile IP and Wireless Access Protocols.
EEN 646	Wireless Communications Prerequisite: EEN 645 Communication Networks This course will introduce wireless communication technologies. topics covered include transmission fundamentals, cellular Systems, digital cellular Systems and protocols, coding and error control, handovers, switching and traffic and protocol verification techniques.
EEN 644	Microcomputer Systems Design II Prerequisite: Graduate Course 3 credits Design of microcomputer Systems based on 16 bit processors like 8086, 80286 and MOtoROLA 68000. Multiprocessing, Co processing concepts. Interrupt and DMA Controllers. Introduction to PCs, single user operating Systems. The MSDOS, System Designs with PC as a control computer.
EEN 650	Microelectromechanical Systems This course covers the MEMS field at the graduate level. Tensor physics will be reviewed and used to describe physical properties of importance to sensors and actuators, including stress, strain, piezoresistivity, and elasticity. Students will examine the methods that are used to predict the deflections of common mechanical structures used in MEMS. The course also covers both bulk and surface micromachining, including techniques for measuring properties of thin films.
EEN 651	Digital Signature Processing Prerequisite: Graduate Course 3 credits An Introduction to the Analysis and Design of discrete time Systems. Time Domain Analysis, Solution of difference equations, z-transform analysis, Discrete Fourier Transforms, Sampling of Continuous Signals, Digital Filter Design and State Variable Representations for discrete time Systems.
EEN 652	Digital Communications Prerequisite: Graduate Course 3 credits An in-depth treatment of digital Communications techniques and performance. topics include performance of uncoded Systems such as Mary, PSK, PFK, and multi-level signaling; orthogonal and bi-orthogonal codes; block and convolutional coding with algebraic and maximum likelihood decoding; burst correcting codes; efficiency and bandwidth; synchronization for carrier reference and bit timing; baseband signaling techniques and intersymbol interference; and equalization.
EEN 653	Performance Analysis of Communication Networks Prerequisite: Graduate Course 3 credits topologies arising in communication networks, Queuing Theory, Markov Chains and Ergodicity, theory of regenerative processes, routing algorithms, multi-access and random access transmission algorithms, mathematical analysis for throughput and delay analyses and evaluations, performance evaluation, performance monitoring, LANS and interactive LANS.
EEN 654	Computer Networks Prerequisite: Graduate Course 3 credits Network protocols, Internet routing/addressing, network Design and management, performance modeling and analysis, voice and data converged networks, telecommunication network architectures and technologies, encryption and security.
EEN 661	Optics and Lasers Prerequisite: Graduate Course 3 credits Reviews the electromagnetic principles of optics; Maxwell’s equations; reflection and transmission of electromagnetic fields at dielectric interfaces; Gaussian beams; interference and diffraction; laser theory with illustrations chosen from atomic, gas, and Semiconductor laser Systems; detectors including photomultipliers and Semiconductor -based detectors; and noise theory and noise sources in optical detection.
EEN 662	Optics for Optoelectronics Prerequisite: Graduate Course 3 credits Covers the electromagnetic applications of Maxwell'sequations in photonic devices such as the dielectric waveguide, fiber optic waveguide and Bragg optical scattering devices. Includes the discussion of the exchange of electromagnetic energy between adjacent guides. Ends with an Introduction to nonlinear optics, which include second harmonicgeneration and soliton waves.
EEN 663	Solid State Devices Prerequisite: Graduate Course 3 credits Introduces Semiconductor device operation based on energy bands and carrier statistics. Describes the operation of p-n junctions and metal Semiconductor junctions. Extends this knowledge to descriptions of bipolar and field effect transistors, and other microElectronic Devices.
EEN 664	Fourier Optics Prerequisite: Graduate Course 3 credits Presents the fundamental principles of optical signal processing. Begins with an Introduction to two-dimensional spatial, linear Systems analysis using Fourier techniques. Includes scalar diffraction theory, Fourier transforming and imaging properties of lenses and the theory of optical coherence. Applications of wavefront-reconstruction techniques in imaging. Applications of Fourier Optics to analog computing.
EEN 671	Linear Control Systems Prerequisite: Graduate Course 3 credits Studies the dynamics of linear, closed-loop Systems; mechanical, electrical, hydraulic, and other servo Systems. Analysis of transfer functions; stability theory. Considers compensation methods.
EEN 672	Digital Control Systems Prerequisite: Graduate Course 3 credits Includes sampling processes and theorems, z-transforms, modified transforms, transfer functions, and stability criteria; analysis in frequency and time domains; discrete state models of Systems containing digital computers. Some in-class experiments using small computers to control dynamic processes.
EEN 673	Linear State-Space Control Systems Prerequisite: Graduate Course 3 credits A comprehensive treatment of the theory of linear state space Systems, focusing on general results which provide a conceptual framework as well as analysis tools for investigation in a wide variety of Engineering contexts. topics include vector spaces, linear operators, functions of matrices, state space description, solutions to state equations (time invariant and time varying), state transition matrices, system modes and decomposition, stability, controllability and observability, Kalman decomposition, system realizations, grammians and model reduction, state feedback, and observers.
EEN 674	Optimal Control Systems Prerequisite: Graduate Course 3 credits Analyzes the development and utilization of Pontryagin's maximum principle, the calculus of variations, Hamilton-Jacobi theory and dynamic programming in solving optimal control problems; performance criteria including time, fuel, and energy; optimal regulators and trackers for quadratic cost index Designed via the Ricatti equation; Introduction to numerical optimization techniques.
EEN 675	Multivariable Robost Control Systems Prerequisite: Graduate Course 3 credits Studies advanced topics in modern multivariable control theory; matrix fraction descriptions, state-space realizations, multivariable poles and zeroes; operator norms, singular value analysis; representation of unstructured and structured uncertainty, linear fractional transformation, stability robustness and performance robustness, parametrization of stabilizing controllers; approaches to controller synthesis; H2-optimal control and loop transfer recovery; H2-optimal control and state-space solution methods.
EEN 676	Nonlinear Control Systems Prerequisite: Graduate Course 3 credits Studies the dynamic response of nonlinear Systems; approximate analytical and graphical analysis methods; stability analysis using the second method of Liapunov, describing functions, and other methods; adaptive, learning, and switched Systems; examples from current literature.
EEN 681	Digital Integrated Circuit Testing Prerequisite: Graduate Course 3 credits Production testing of digital Integrated Circuits. Outline of methods of testing used in production. Testing schemes and Design for testability. Faults and fault models, yield estimates, testability measures, fault simulation, test generation methods, sequential testing, scan Design, boundary scan, built-in self test, CMOS testing.
EEN 682	Computer Methods for Analytis and Design OF VLSI Circuits Prerequisite: Graduate Course 3 credits Formulation of circuit equations. Sparse matrix techniques. Frequency and time-domain solutions. Relaxation techniques and timing analysis. Noise and distortion analysis. Transmission line effects. Interconnect analysis and crosstalk simulation. Numerical inversion techniques. Asymptotic waveform estimation. Mixed frequency/time domain techniques. Sensitivity analysis.
EEN 683	Advanced Topics In VLSI Prerequisite: Graduate Course 3 credits Recent and advanced topics in the Design of very large-scale Integrated Circuits, with emphasis on mixed analog/digital Circuits for teleCommunications applications. topic varies from year to year according to departmental research interests. Students may be expected to contribute lectures or seminars on selected topics.
EEN 684	Signal Processing Electronics Prerequisite: Graduate Course 3 credits CCDs, transversal filters, recursive filters, switched capacitor filters, with particular emphasis on integration of analog signal processing techniques in monolithic MOS ICs. Detailed op amp Design in CMOS technology. Implications of non-ideal op amp behavior in filter performance. Basic sampled data concepts.
EEN 685	ASICS in Telecommunications Prerequisite: Graduate Course 3 credits Modern ASIC technologies for Telecom will be introduced. Circuit level building blocks for typical wireline and wireless applications will be overviewed. Both analog and digital Circuits will be considered. A topical literature study, circuit level Design exercises and take home final exam will be required.
EEN 690	Advance Topic I Prerequisite: Instructor Approval This course is Designed to facilitate the faculty to offer courses on specialized topics that are relevant to student’s research work or in a specific research area, that is of interest to a select individual or group, which are not in course catalog.
EEN 691	Advance Topic II Prerequisite: Instructor approval This course is second course in a series Designed to facilitate the faculty to offer courses on specialized topics that are relevant to student's research work or in a specific research area that is of interest to a select individual or group which are not in course catalog.
EEN 697	Master's Project This project course is for non-thesis students. Students are expected to spend the semester conducting a research project. The students must work closely with their research advisor to ensure progress in the course. The course culminates with a formal written report and presentation of their research.
EEN 698	Master's Thesis II Prerequisite: Completion of at least 15 hours of approved graduate courses First semester of the Master’s thesis sequence. Under the supervision of the thesis advisor, students prepare a thesis proposal and work toward the goal of completing all background material needed for their research. Minimally, a successfully defended thesis proposal will be used to satisfy completion of the course. The thesis committee should approve thesis topic.
EEN 699	Master's Thesis II Prerequisite: EEN 698 This is the sequel to Master’s Thesis I. This is marked by the completion of research work of the student culminating into a thesis that is defended in front of a committee and approved by the same.
CSC 170	Computer Programming I (C++) Prerequisite: MTH 105 or equivalent Introduction to programming and Problem Solving in an object- oriented language with emphasis on basic programming constructs, arrays, debugging, software Engineering practices, and the fundamentals of file handling.
MTH 184	Calculus I Prerequisite: MTH 153 or the Equivalent Treatment of the essentials of calculus necessary for the study of more advanced subjects in the natural sciences and mathematics including limits, continuity, derivatives and applications, antiderivatives and the Fundamental Theorem of Calculus. Integration of some calculus applications with computer activities included.
MTH 251	Calculus II Prerequisite: MTH 184 Applications of definite integrals, the calculus of transcendental functions, infinite series, and integration techniques. Some topics are Integrated with computer activities.
MTH 252	Calculus III Prerequisite: MTH 251 Investigation of calculus concepts at the intermediate level including polar coordinates, vectors, and the calculus of several variables.
MTH 300	Lineal Algebra Prerequisite: MTH 184 Introduction to the basic concepts, techniques, and elementary applications of linear algebra including matrices, linear Systems, gaussian elimination, vector spaces, linear independence, linear transformations, eigenvalues and eigenvectors.
MTH 351-E	Engineering Probability & Statistics Prerequisite: MTH 252 Applications of random variables and random processes to Engineering analysis and Design. Cumulative and Probability density functions; error function; central limit theorem; finite samples; auto correlation; power spectral density; effect of filters on digital data. Probabilistic and statistical Design of Systems required.
MTH 372	Differential Equations Prerequisite: MTH 251 A first course in ordinary differential equations. topics include first-order equations, linear differential equations, and variable-coefficient equations. Applications include growth/decay models and the vibrational models.
PHY 160/161	University Physics Corequisite: MTH 184, PHY 160L, PHY 161L Study of mechanics, heat, sound, light, electricity and magnetism, and modern physics. Emphasis on analytical methods with application of calculus and Problem Solving.
PHY 160L/161L	University Physics Laboratory CorequisiteS: PHY 250, 251 Opportunity to investigate the laws and principles of physics and to make conclusions based on observations and analysis.
CHM 210	General Chemistry for Engineers Preriquisites: Good mathematics skills, high school chemistry, MTH 153 (co-requisite) or above. General Chemistry for Engineering majors, emphasizing theoretical principles necessary for an understanding of the nature of matter and the physical and chemical changes which it undergoes. A good understanding of algebra is needed because of the Problem Solving nature of much of the work.
CHM 221	General Chemistry I PrerequisiteS: MTH 153 Emphasis on theoretical principles necessary for an understanding of the nature of matter and the physical and chemical changes which it undergoes. High school chemistry not required but desirable. Good understanding of algebra desirable. Must be taken in sequence.
SEM 101/102	Spatan Seminar As part of the General Education curriculum, Spartan Seminar 101 is a required academic course for all first-year undergraduate students during their first semester at Norfolk State University. The course is Designed to increase the three P’s: academic performance, persist enc e and preparation for success, resulting ultimately in students who are acutely aware, distinctively prepared and perpetually affiliated with the University. At the introductory College level, students will study and apply foundational academic skills, engage in structured identity (self-concept) exploration, and purposefully learn about key University resources, programs of study and potential career options.
SEM 201	Spartan Seminar As part of the General Education curriculum, Spartan Seminar 101 is a required academic course for all first-year undergraduate students during their first semester at Norfolk State University. The course is Designed to increase the three P’s: academic performance, persist enc e and preparation for success, resulting ultimately in students who are acutely aware, distinctively prepared and perpetually affiliated with the University. At the introductory College level, students will study and apply foundational academic skills, engage in structured identity (self-concept) exploration, and purposefully learn about key University resources, programs of study and potential career options.
PED 100	Fundamentals of Fitness for Life Development of knowledge and appreciation for total fitness as an individualized lifetime goal, including the improvement in current levels of fitness and the development of positive lifestyles.
HED 100	Personal and Community Health Study of a basic knowledge of current personal and community health problems to make informed decisions, to develop more positive attitudes, and to practice a lifestyle of healthful living.
ENG 285	Principles of Speech PrerequisiteS: ENG 101 and 102 Basic communication theory and practice of public speaking, including information processing skills, oral style, and delivery. Practical emphasis on developing verbal and vocal skills through a variety of speech purposes.
Tech. Elect.	Choose from 300 level courses in biology, math, computer science, chemistry, physics or Engineering