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  • EE 421: Electronics of Radio

    3.00 Credits
    Western New England University

    Prerequisite: EE 303. Design of a radio system for transmission of information; types of receivers, matching techniques, oscillators, design using 2-port network parameters, receiver and antenna noise, nonlinear effects, frequency synthesis. The goal of this course is to teach electrical engineering students the basic principles of radiofrequency circuit design and to illustrate how such circuits are used in communication systems. The primary methods of assessing student learning are homework assignments, quizzes, exams, and design projects. 3 cr.
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  • EE 422: Control Systems

    3.00 Credits
    Western New England University

    Prerequisite: MATH 350; EE 301 or ME 320. This is an introductory course in analysis and design of linear control systems. Students learn to analyze mathematical models, systems representation and reduction, steady-state errors, time domain and frequency domain system performance and specifications, methods of testing for stability, Bode, root locus, and frequency domain response methods of linear time invariant systems. They also learn to design lead, lag, and lead-lag compensation techniques. Students also learn to use MATLAB computational software to understand new concepts and to perform and implement system analysis and design techniques. The methods of assessing student learning in the course are quizzes, exams, homework assignments, and a project. 3 cr.
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  • EE 423: Communications

    3.00 Credits
    Western New England University

    Prerequisite: EE 302, EE 320 and MATH 350. This is a graduate level course in electronic (analog and digital) communication fundamentals. After successfully completing this course students know what analog and digital signaling methods (PAM, PCM, AM, PM, and FM) are available; know how to model, analyze, and design a basic communication link; know how to model, analyze, and design signals that go with the various signaling methods (including the theories on information measure, signal types and their measure, encoding schemes and Fourier analysis); are familiar with the various types of modulation and demodulation schemes available and are familiar with some of the practical applications of modulation/demodulation theory. The methods of assessing student learning in this course are homework assignments, quizzes, classroom discussions, a research project, and a final exam. 3 cr.
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  • EE 425: Linear Systems Theory

    3.00 Credits
    Western New England University

    Prerequisite: MATH 350; EE 301 or ME 320. Students learn the fundamentals of the state space approach to systems modeling, analysis, and design. They also learn how to find the state space model of electrical, mechanical, and electromechanical systems. In addition students learn how to represent a system in the Jordan, first canonical, and phase variable forms, and to apply state space techniques to find zero input, zero state, and complete solution from state space system equations. In addition students learn to perform system stability, controllability, and observability tests and to design state and output feedback techniques as well as observer design technique. Students also learn to use MATLAB computational software to understand new concepts and to perform and implement system analysis and design techniques. The methods of assessment of student learning in this course are homework assignments, quizzes, tests, and a design project. 3 cr.
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  • EE 427: Electrical Engineering Laboratory III

    3.00 Credits
    Western New England University

    Prerequisite: EE 322. This is the third of a three-course laboratory sequence. The course consists of several experimental projects designed to provide students with hands-on experience in analysis and design of electronic circuits and systems. After successfully completing this course the students are able to design, construct, and test sensor, relay, and motor interface circuits. They will design these circuits as part of an interdisciplinary project where the team designs, constructs, and tests a vehicle. They will build a prototype circuit board and interface it to the sensors, relay circuit, motor, and power source on the vehicle and to the microprocessor prototype circuit board. Additional experiments in control theory will be performed. These experiments include modeling and simulation of a control system, and designing, building, and testing an analog PID motor speed controller. The students reinforce their technical writing ability by writing an engineering report on the results of each project. The assessment in this course is based on the quality of the work done in the laboratory and the written reports. One class hour, one three hour lab. 2 cr.
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  • EE 428: Design of Analog CMOS Integrated Circuits

    3.00 Credits
    Western New England University

    Prerequisite: EE 320 or equivalent. The general objective of the course is to introduce students to the building blocks of analog integrated circuits; such as differential amplifiers, current sources and mirrors, gain stages, level shifters, active loads, and output stages. Throughout the semester, Spice 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 a term project. 3 cr.
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  • EE 430: VLSI Design

    3.00 Credits
    Western New England University

    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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  • EE 431: Semiconductor Device Modeling for VLSI

    3.00 Credits
    Western New England University

    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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  • EE 434: Electrical Power Engineering

    3.00 Credits
    Western New England University

    Prerequisite: EE 314 and EE 301. This is an introductory level course in electrical energy conversion devices such as generators, motors, and transformers. Students, on successful completion of this course, understand the structure and components of an electrical power system and are able to calculate MMF, flux, and flux density in electro-magnetic circuits as used in transformers and rotating electrical machines. Students develop good understanding of the causes of energy losses and are able to calculate these. They learn the need for power transformation; the constructional features of a power transformer; how to use test data for developing circuit model; and how to calculate regulation and efficiency of transformers. They understand principles of energy conversion and are able to calculate force, torque, and mechanical power and its relationship to electrical voltage current and power in generators and motors. Methods of assessment include homework, quizzes, tests, and a short paper on one of the topics related to the course. 3 cr.
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  • EE 435: Fuzzy Logic

    3.00 Credits
    Western New England University

    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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