Prerequisite:
EEL 3135 or EEL 4652
Course Description:
Continuous and discrete dynamic models, with an emphasis on state variable models; Laplace transform, z-transform, and the time domain solutions. Includes real-time digital simulation and sampling theory.

Prerequisite: N/A
Course Description:
DC and AC circuits, transient and frequency response, and electronic circuits. This course introduces solid-state power conversion and control circuits, e.g. analysis and design of nonlinear multiple-phase circuits with sinusoidal and non-sinusoidal variables; constant-frequency and variable-frequency input converters, variable-frequency inverters; sensing and processing circuits supporting control systems, embedded microprocessor control systems.

Prerequisite: N/A
Course Description:
Study of power system planning and operational problems. Subjects covered are load flow, economic dispatch, fault studies, transient stability, and control of problems. System modeling and computer solutions are emphasized through class projects.

Prerequisite:
EEL 4213 (Power Systems I)
Course Description:
Electrical transients in power systems; study of time domain, frequency domain and traveling wave techniques for transient analysis; study of switching transients associated with loads, capacitors, faults, line reclosing and single-pole switching; study of interaction between lighting and power systems; introduction to insulation coordination.

Prerequisite:
EEL 4301
Course Description:
Design of digital integrated circuits, applications, solid state device switching characteristics, memory, computer aided design and layout.

Prerequisite:
EEL 3135, EEL 3300
Course Description:
This course is designed to develop a basic understanding of using switched electronic circuits for the conversion and regulation of electrical power. The course will focus on the basic converters and their steady state analysis. Dynamic modeling analysis and converter controller design are also covered. Introduction of power semiconductor devices and converter simulation are integrated.

Prerequisite:
EEL 3300
Course Description:
Topics in this course include fabrication, characterization, operational principles, and applications of solid state sensors including acoustic, mechanical, magnetic, radiation, thermal, chemical, and biologic sensors.

Prerequisite:
EEL 5315
Course Description:
Introduction to mixed signal processing using analog and digital integrated circuits. Topics include fundamentals of sampled data systems, nonlinear and dynamic analog circuits, Nyquisit-rate data converters, over-sampling data converters, and digital filters. Includes use of computer-aided-design programs.

Prerequisite:
EEL 3473, EEL 3512
Course Description:
Basic concepts of sonar systems including: acoustic propagation, transducers and projectors, target strength, reverberation, beamsteering, beamforming, beampatterns, synthetic aperture sonar.

Prerequisite:
EEL 3473
Course Description:
Electromagnetic wave theory-Maxwell's equations, planes waves, energy and power flow. Geometrical optics; applications to optical systems, optical fibers, and resonators. Wave propagation in layered media; applications to lasers and integrated optics. Quantum theory of light; black body radiation; introductory quantum electronics; selected research topics.

Prerequisite:
EEL 3512, EEL 3473 or equivalent
Course Description:
Basic concepts of optical sensors and essential optics. Intensity, phase, and frequency modulated optical fiber sensors and their applications. Distributive sensing systems. Optical fiber in signal processing.

Prerequisite:
EEL 3473 or EEL 4461
Course Description:
Electromagnetic fields, radiation from simple sources and apertures; receiving antennas; arrays-uniformly spaced, non-uniform, pattern synthesis; cylindrical antennas and arrays; radiation from conical and spheroidal structures; slot antennas; open waveguides and small horns.

Prerequisite:
EEL 3473
Course Description:
Advanced concepts and theorems in electromagnetic fields; plane, cylindrical, and spherical wave functions; perturbation and variational techniques; microwave networks.

Prerequisite:
EEL 4514
Course Description:
Principles of modern digital communication systems, including pulse-code modulation, error-control coding, optimal signal protection, and the information theory.

Prerequisite:
EEL 4021, EEL 3135
Course Description:
Random processes, analysis and processing of random signals; modeling of engineering systems by random processes; selected applications in detection; filtering; reliability analysis; and system performance modeling.

Prerequisite: N/A
Course Description:
Basic concepts of radar systems including: radar range equation, radar cross section calculations, random processes and noise, array antennas, beamsteering, doppler and range processing, FM and CW systems, pulse compression, synthetic aperture radar, clutter.

Prerequisite: N/A
Course Description:
Review of the characteristics of basic optical components for optical communications systems, e.g., optical fibers, light sources, optical detector and fiber connectors; signal degradation in optical fibers; optical analog and digital communication systems; coherent optical fiber communications.

Prerequisite:
Fourier transform analysis of signals; amplitude modulation; fundamentals of phase and frequency modulation; a probability theory course.
Course Description:
This course is designed to provide an in-depth knowledge of some of the advanced topics in communications. Topics covered are: ideal communication systems, signal to noise ratio (S/N) for amplitude and angle modulation, design of systems to improve S/N ratio, satellite communication, mobile communication.

Prerequisite:
EEL 3135, EEL 3021, EEL 4514, "C" Programming or equivalent
Course Description:
This course covers the fundamentals of wireless communications and systems. The core topics include radio-wave propagation characteristics of wireless channels; modulation and demodulation techniques for mobile radio; reception techniques for wireless systems; fundamentals of cellular communications; multiple access techniques; wireless networking; and hybrid networking of a wireless system and the Internet.

Prerequisite:
EEL 4652
Course Description:
Course covers H2 and H? control design for linear systems with multiple inputs and multiple outputs. Globally optical techniques, fixed-structure (e.g., reduced-order) techniques. Includes introductory concepts in robust control.

Prerequisite:
EEL 4652
Course Description:
Discrete system modeling, frequency-domain and z-plane root-locus design techniques, system compensation, with an emphasis on utilizing computer applications packages.

Prerequisite:
EEL 4652
Course Description:
Introduction to robot kinematics and dynamics, including forward kinematics, inverse kinematics, and differential kinematics. Also covers rigid motion and homogenous transformations, velocity and force/torque relations and resolved motion rate control; serial, parallel and kinematically redundant manipulators.

Prerequisite:
EEL 3705
Course Description:
Introduction to Application Specific Integrated Circuit (ASIC) families. Overview of programmable ASICs. Introductions to the VHDL design entry and simulation language. Programmable ASIC design methodology will be introduced.

Prerequisite:
EEL 3705, EEL 4746
Course Description:
Comprehensive study of computer organization, Von Neumann computer architecture, and the application of the advanced techniques for computer system design.

Prerequisite:
Graduate standing or consent of instructors
Course Description:
This is a first course in the fundamentals of computer network design and analysis. The course will present network architecture using a layered approach. Analysis and examples of network protocols and standards will be presented. Techniques for evaluating network performance and selecting appropriate network protocols will be covered.

Prerequisite:
EEL 4810
Course Description:
This course is designed to provide students with an in-depth knowledge if advanced topics in Neural Networks such as: universal approximation networks, transformation-based neural networks, information theoretic models, foundations of neurodynamics.

Prerequisite:
Graduate standing
Course Description:
May be repeated to a maximum of six (6) semester hours.

Prerequisite:
Graduate standing and departmental approval
Course Description:
Cannot be used as credit toward degree. May be repeated to a maximum three (3) semester hours for candidates in master's degree, and five (5) semester hours for candidates in doctoral degree.

Prerequisite:
Graduate standing and departmental approval
Course Description:
Special topics in electrical engineering at the graduate level with emphasis on recent research and developments. content, credit and prerequisites vary-consult instructor. May be repeated to a maximum of twelve (12) semester hours.

Prerequisite:
Graduate standing and departmental approval
Course Description:
Cannot be used as credit toward degree. May be repeated to a maximum of three (3) semester hours for candidates in master's degree, and five (5) semester hours for candidates in doctoral degree.

Prerequisite:
6266
Course Description:
A course dealing with modern power operational and control problems and solution techniques, including state estimation, contingency analysis, load-frequency control, and automatic generation control. Additional subject covered are load-flow analysis, unit commitment, and external equivalents for steady-state operations.

Prerequisite:
EEL 3300 or equivalent
Course Description:
Elementary quantum physics, energy band theory, carrier properties, theory of p-n junctions, optoelectronics diodes, bipolar junction transistors, and filed effect transistors.

Prerequisite: N/A
Course Description:
Typical offerings include: waves and fields in electro-optics; modern optics and coherence; optical data processing; nonlinear optics; laser technology; electro-optical circuits and systems for signal processing; electro-optical devices. May be repeated to a maximum of twelve (12) semester hours.

Prerequisite:
EEL 5173
Course Description:
Fundamentals of digital signal processing and design of a variety of digital processors and filters. Introductions to DFT-FFT, and spectral estimation theory and practice.

Prerequisite: N/A
Course Description:
Typical offerings include: advanced digital signal processing; fast DSP algorithms; image processing; data compression; computer vision; pattern recognition; VLSI based DSP design; advanced signal and systems theory. May be repeated to a maximum of twelve (12) semester hours.

Prerequisite:
EEL 5617
Course Description:
Course covers control design for systems with uncertain dynamics; robust H? design; structured singular value synthesis; LMI and Riccati equation solution techniques.

Prerequisite:
EEL 5707
Course Description:
Course covers MOS transistor theory, CMOS Logic gate design, ASIC standard cell library design, ASIC partitioning, floorplanning and placement. Introduction to routing algorithms and test methods.

Prerequisite: N/A
Course Description:
Typical offerings include: digital systems design; advanced computer architecture; local area networks; telecommunication networks; data and computer communications; queuing systems; artificial intelligence; expert systems; distributed computer systems; artificial neural networks; automata theory. May be repeated to a maximum of twelve (12) semester hours.

Prerequisite:
Graduate standing
Course Description:
May be repeated to a maximum of six (6) semester hours.

Prerequisite: N/A
Course Description:
Special topics in electrical engineering at the graduate level with emphasis on recent research and developments. Content, credit, and prerequisites vary-consult the instructor. May be repeated to a maximum of twelve (12) semester hours.

Prerequisite: N/A
Course Description:
The graduate students are expected to enroll in the course every semester they are enrolled at FAMU or FSU. The students should attend at least 80% of the seminar each semester to obtain a satisfactory grade.

Prerequisite:
Graduate standing and instructor's permission
Course Description:
A minimum of six (6) semester hours of credit is required. Department approval required.

Prerequisite:
May be repeated twice.

Prerequisite:
May be repeated once.

Prerequisite:
May be repeated to a maximum of three (3) times.