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Course Criteria
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3.00 Credits
Prerequisite: EE 312 or equivalent and EE 320 or equivalent. This is a graduate level course in VLSI design fundamentals. After successfully completing this course, students are familiar with two suites of CAD tools (Electric, (an IC layout tool, and lCAPS, a circuit simulator) used in VLSI design, are familiar with process technology (MOS1S in this case), know the IC design process (including layout constraints), know how to model electronic device behavior as a function of layout geometry, know how to apply layout information to simulation models, know how to design and layout basic digital logic gates, are familiar with the layout and operation of analog systems (in particular, the operational amplifier), and be aware of the problems associated with mixed-mode IC design. The methods of assessing student learning in this course are homework assignments, quizzes, classroom discussions, design projects, a research project, and a final exam. 3 cr.
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3.00 Credits
Prerequisite: EE 312 or equivalent. This course will describe the operation and characteristics of high speed devices: submicron silicon MOSFETS and Silicon Bipolar Transistors for high frequency and VLSI applications. It will also cover the basics of MESFETS and some high speed devices using compound semiconductors (HEMTs and HBTs). 3 cr.
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3.00 Credits
Prerequisite: Senior or graduate standing. This course covers the fundamentals of fuzzy logic theory and its applications. Students learn to analyze crisp and fuzzy sets, fuzzy propositional calculus, predicate logic, fuzzy logic, fuzzy rule-based expert systems, and apply fuzzy logic theory to a variety of practical applications. Students also learn to use MATLAB computational software to understand new concepts and to perform and implement fuzzy logic rules and systems. The methods of assessing student learning in this course are homework assignments, quizzes, classroom discussions, design projects, and a final exam. 3 cr.
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3.00 Credits
Prerequisite: MATH 350 or concurrently. This is a study of the basic concepts of neural networks and its application in engineering. In this course students learn the single layer and multilayer neural network architectures; understand linear and nonlinear activation functions; and analyze and implement McCulloch-Pitts, Hebbian, Hopfield, Perceptron, Widrow-Hoff, ADALINE, delta, and back propagation, learning techniques with ample practical applications. Students also learn to use MATLAB computational software to understand new concepts and to perform and implement neural network rules and paradigms. The methods of assessing student learning in this course are homework assignments, quizzes, classroom discussions, design projects, and a final exam. 3 cr.
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3.00 Credits
Prerequisite: MATH 350; EE 314 or equivalent. Electro-optics is the study of the effects of electric fields on optical phenomena. A study of light and basic geometrical and physical optics theory prepares students for investigation of the electronic and optical properties of light sources and detectors including LEDs, lasers, display devices, photodetectors, detector arrays, and charge transfer devices. After an investigation of electro-optics system design and analysis techniques, students develop an understanding of such applications as optical signal processing, electro-optics sensors, optical communications, optical computing, holography, integrated optics, display technologies, and fiber-optics. A design paper is required. Upon completion of this course, the student should understand the design and analysis techniques used in modern electro-optics systems and apply these methods in electro-optics applications. The methods of assessing student learning in this course are homework assignments, quizzes, classroom discussions, design projects, and a final exam. 3 cr.
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3.00 Credits
Prerequisite: EE 320 or equivalent and EE 422 or equivalent. This is a graduate level course in the component's and systems used in power electronics, After successfully completing this course students will be familiar with the types and uses of electronic power components as well as understanding and using the various analytical methods (including state space and piecewise linear) that model components and systems that manage, control and convert electrical energy. Topics include (but are not limited to) semiconductor power devices (such as diodes, SCRs, power FETs, etc.), energy conversion methods (such as ac-dc, dc-dc, dc-ac, etc.), converter electronics (such as buck, boost, etc.), conversion efficiency, and output regulation. The methods of assessing student learning in this course are homework assignments, quizzes, classroom discussion, a research project, and a final exam. 3 cr.
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3.00 Credits
Prerequisites: EE 314 or equivalent. This course provides an introduction to various RF and microwave system parameters, architectures and applications; theory, implementation, and design of RF and microwave systems for communications, radar, sensor, surveillance; navigation, medical and optical applications. The primary methods of assessing student learning are homework assignments, quizzes, exams, and design projects. 3 cr.
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3.00 Credits
Prerequisites: EE 314 or equivalent. The general objective of the course is to introduce students to the principles, processes, and techniques used in the design and realization of modern microwave and wireless active circuits. The course examines a variety of commonly used circuits including detectors, mixers, oscillators, and amplifiers that are the building blocks of all communication platforms. Throughout the semester, SerenadeSV, Sonnet Lite, and MATLAB will be used to emphasize and to help in understanding important concepts of the course as well as a tool for solving homework problems. The primary methods of assessing student learning are homework assignments, quizzes, exams, and design projects. 3 cr.
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3.00 Credits
Prerequisites: EE 314 or equivalent. This course is designed to provide seniors/first year graduate students in electrical engineering with a solid foundation in applied electromagnetics. A review of transmission lines and the design of impedance-matching techniques will be explored. The application of Maxwell's equations to guided waves and radiation will also be explored. Throughout the semester, SerenadeSV, HFSS and MATLAB will be used to emphasize and to help in understanding important concepts of the course as well as a tool for solving homework problems. The primary methods of assessing student learning are homework assignments, quizzes, exams and design projects. 3 cr.
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3.00 Credits
Prerequisite: EE 312. The electrical behavior of solids, or the transport of charge through a metal or semiconductor, is determined by the properties of the electrons and the arrangement of atoms in the solid. Through a study of the crystal structure of electronic materials and the fundamentals of quantum electronics, students understand the band theory of solids, particle statistics, transport phenomena, and conductivity. Further study of equilibrium distributions in semiconductor carriers and p-n junctions leads to an understanding of solid state device operation. The investigation of practical devices such as diodes, IMPATT diodes, bipolar and junction field-effect transistors, and MOS devices enhance students' knowledge of the design and analysis techniques used in real-world applications. A design project is required. Upon completion of this course students should be proficient in the use of solid-state component and system design techniques and are familiar with a wide variety of semiconductor device applications. The methods of assessing student learning in this course are homework assignments, quizzes, classroom discussions, design projects, and a final exam. 3 cr.
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