Electronics Engineering (EEN)

A hands-on approach to microprocessor and peripheral system programming, I/O interfacing, and interrupt management. A sequence of mini-projects requiring the programming (in assembly language) of a microcontroller are conducted. A midterm and final project provide a venue for complex project design and implementation. Projects require a Motorola microcontroller evaluation board and accessories supplied by the department/student.

This course introduces graduate students to concepts and theory of biomedical devices, especially for sensing and modulation purposes. The course provides lectures on the operation mechanisms and applications of microsensors 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.

Presentation of the fundamentals of modern digital communication systems and evaluation of their performance. Topics include a 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 covers link power calculations, noise models, RF components, and antennas.

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. Future trends and challenges in semiconductor manufacturing will also be discussed. A design project is required in this course.

Prerequisites: Take EEN-211. Take EEN-200. Take EEN-301.

This courses addresses design and analysis of analog integrated circuits. Topics include feedback amplifier analysis and design, including stability and compensation; layout and floor planning issues associated with mixed-signal IC design; selected applications of analog A/D and D/A converters; and current sources. Students will also use CAD tools for design and simulation throughout the course.

This course applies basic electrical engineering principles to understand the proper functioning of biological cells and tissue, and selected human organs. This course covers the important concepts of bioelectrics, bioelectric system modeling and diagnosis. Although emphasis will be given to the cardiovascular system, students will be able to apply the principles of bioelectricity to any bioelectrical system.

This course focuses on the design and synthesis of Very Large Scale Integrated (VLSI) chips using CMOS technology for complex digital systems using integrated circuit cells as building blocks and employing hierarchical design methods. Design issues at layout, schematic, logic and RTL levels will be studied.

This course introduces students to various styles of technical writing. Style manuals used for master's theses at Norfolk State and the standard technical style manuals for technical journals will be reviewed. Students will also learn how to conduct detailed database searches on technical topics. Exhaustive bibliographic studies of technical issues will be developed.

Principles of systems biology modeling will be, covered in this course. Various numerical, techniques for solving a system of copied, differential equations commonly encountered in, biomedical systems modeling will be covered. , Practical aspects related to numerical, implementation on a computer such as solver, methods, memory requirements and accuracy will, also be covered.

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.

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.

This course provides a working knowledge of the fundamental theory, design, and applications of Artificial Neural Networks (ANN). Topics include the major general architectures: back propagation, competitive learning, and counter propagation. Learning rules, such as Hebbian, Widrow-Hoff, generalized delta, Kohonen linear and auto associators, are presented. Specific architectures, such as the Neocognitron and Hopfield-Tank, are included. Hardware implementation is considered.

This course introduces techniques for solving and analyzing electromagnetic systems. Topics include relation of fundamental concepts of electromagnetic 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.

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

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 protocol verification techniques.

Prerequisites: Take EEN-645.

This course covers the MEMS field at the graduate level. Tensor physics is reviewed and used to describe physical properties of sensors and actuators, including stress, strain, piezoresistivity, and elasticity. Students will examine the methods that are used to predict deflection of common mechanical structures used in MEMS. The course also covers both bulk and surface micromachining, including techniques for measuring properties of thin films.

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.

This course 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.

This course 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.

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.

This course is designed 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 the course catalog.

This is the second course in a series designed 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 the course catalog.

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.

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.

This is the sequel to Master's Thesis I and is worth 3 credit hours. 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.

Prerequisites: Take EEN-698.

An elective course designed to provide graduate students an opportunity to gain professional development experience through giving formal presentations and attending technical presentations covering the newest technologies and research developments.

A course credit needed to facilitate continuing registration in a graduate program while thesis work and graduate requirements are finalized. Permission of the department chair and graduate advisor are needed to register in this course.