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  • EE 3202: Electric andMagnetic Fields 3

    3.00 Credits
    Milwaukee School of Engineering

    The primary goal of this course is to develop an understanding of the physical properties of electric andmagnetic fields, which is the basis for electromagnetic field applications in electrical engineering. The associatedmathematical vector analysis techniques serve as the vehicle to determine, analyze, and interpret electric andmagnetic fields in various coordinate systems. Topics include vector algebra and calculus in the Cartesian, cylindrical and spherical coordinate systems, Coulomb's law, Gauss's law, electric potential, capacitance, and Biot-Savartlaw. (prereq:MA-232, PH-2020 or PH-230)
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  • EE 3203: Electric andMagnetic Fields 4

    4.00 Credits
    Milwaukee School of Engineering

    The primary goal of this course is to develop an understanding of the physical properties of electric andmagnetic fields, which is the basis for electromagnetic field applications in electrical engineering. The associatedmathematical vector analysis techniques serve as the vehicle to determine, analyze, and interpret electric andmagnetic fields in various coordinate systems. Topics include vector algebra and calculus in the Cartesian, cylindrical and spherical coordinate systems, Coulomb's law, Gauss's law, electric potential, capacitance, Biot-Savartlaw, Ampere's circuital law, and inductance. (prereq:MA-232, PH-230 or PH-2020)
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  • EE 3210: ElectromagneticWaves 2

    3.00 Credits
    Milwaukee School of Engineering

    The primary goal of this course is to establish the foundation concepts and applications of electromagnetic waves in the context of wireless applications. The course builds on electromagnetic field principles covered in previous courses.Maxwell's equations are examined initially. Electromagnetic wave propagation is developed froma circuits viewpoint in the study of transmission lines. The Smith Chart is utilized to graphically determine and display transmission line andmeasurement results. Scattering parameters are introduced as the parameters used to express specifications andmeasurements of high-frequency components. Plane waves, antennas and propagation are examined froma communication link viewpoint. An introduction to electromagnetic interference and signal integrity issues concludes the course. High frequencymeasurement techniques, components, and instrumentation are examined in the laboratory sessions. (prereq: EE-3203,MA-235)
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  • EE 3212: ElectromagneticWaves 3

    4.00 Credits
    Milwaukee School of Engineering

    The primary goal of this course is to establish the foundation concepts and applications of electromagnetic waves in the context of wireless applications. The course builds on electromagnetic field principles covered in previous courses. The course begins withmagnetic field topics and transitions into an introduction to time dynamic electromagnetic fields. Maxwell's equations are then examined. Electromagnetic waves are developed to illustrate the concept of propagation. This concept is then developed froma circuits viewpoint in the study of transmission lines. The Smith Chart is utilized to graphically determine and display transmission line andmeasurement results. Scattering parameters are introduced as the parameters used to express specifications andmeasurements of high-frequency components. Antennas and propagation are examined froma communication link viewpoint. An introduction to electromagnetic interference and signal integrity issues concludes the course. High frequencymeasurement techniques, components, and instrumentation are examined in the laboratory sessions. (prereq:MA-235, EE-3202)
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  • EE 3220: Digital Signal Processing 3

    4.00 Credits
    Milwaukee School of Engineering

    This is an introduction to the digital processing of signals. It begins with the examination of continuous and discrete time signals and systems, and the concepts of spectrumand steady state frequency response. Discrete time signal and systeminteraction is examined in both the time and frequency domains, through the use of convolution and transfer function. The DSP topics include impulse sampling, reconstruction, difference equations, z-transforms, transfer function, convolution, and FIR and IIR digital filter design and application. Discrete and Fast Fourier transforms are developed and applied. Lecture topics are supported by laboratory experiments on actual DSP hardware and includingMatlab. (prereq: EE-1910 or CS-1010 or SE-1010, EE-3050)
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  • EE 3401: Electromechanical Energy Conversion 3

    4.00 Credits
    Milwaukee School of Engineering

    This course provides an introduction to the basic principles of electromechanical energy conversion devices. Topics include three-phase circuits;magnetic circuits; theory, construction, and operation of transformers; performance characteristics and analysis of common rotating acmachines and their control. The concurrent laboratory work reinforces the theoretical principles involved. (prereq: EE-2060, PH-2020 or PH-230)
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  • EE 354: Digital Circuits andMicroprocessor 2 4 Applications

    3.00 Credits
    Milwaukee School of Engineering

    This course extends the electronic concepts previously introduced to nonelectrical engineers in EE-201 and EE-253. Digital devices with emphasis on their application tomechanical systems are developed. Digital concepts are used to introduce their application inmicroprocessors. The microprocessor applications exemplify how various chips can be utilized to controlmechanical and other systems. Laboratory experiments support the theory. (prereq: CS-150, EE-253, not an EE elective)
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  • EE 371: Control Systems 3

    4.00 Credits
    Milwaukee School of Engineering

    The student is introduced to the fundamentals of automatic control systems including the analysis and design of control systems for various engineering applications. Topics include modeling of physical systems using both transfer function and state spacemodels; system responses, performance and design criteria; control systemcharacteristics, stability, steady state errors and transient response; stability analyses using Routh-Hurwitz, root-locus, Nyquist, and Bodemethods; lead and lag compensators and PID controllers design using root-locusmethod; and frequency-response analysis.MATLAB and Simulink are used to aid in the analysis and design of control systems. The laboratory work is designed to introduce the student tomodern techniques needed for the design and implementation of automatic control systems. (prereq: EE-202)
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  • EE 3720: Control Systems 3

    4.00 Credits
    Milwaukee School of Engineering

    Students are introduced to the fundamentals of automatic control systems including analysis and design. Classical control systemtopics include systemresponse and performance characteristics, stability criteria and analysis, dominant pole approximation, phase and PID compensator design.MATLAB and SIMULINK are used to aid in the analysis and design of control systems. The laboratory work introducesmodern techniques needed for the design and implementation of automatic control systems. (prereq: EE-3050; coreq:MA-383 orMA-343)
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  • EE 3921: Digital SystemDesign 3

    4.00 Credits
    Milwaukee School of Engineering

    The objective of this course is to give students a solid foundation in the design, simulation and implementation of advanced digital systems. A variety of representations of digital systems are covered including state diagrams, algorithmic statemachine (ASM) charts and hardware description languages. The lectures present the theory of logic design, and the labs provide students with the opportunity to apply the theory. Designs are tested using simulation and implemented using PLDs and/or Field Programmable Gate Arrays (FPGAs). (prereq: (EE-2900 and EE-2902) or EE-2901)
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