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  • ECE 414: Electronic Systems Design

    4.00 Credits
    University of Michigan-Ann Arbor

    Review of solid state device characteristics and circuit analysis. Design of selected electronic circuits such as operational amplifiers, power amplifiers, power supplies, oscillators, switching and digital circuits to further illustrate analysis and design of representative electronic circuits using classical and computer-aided design techniques. Four lecture/laboratory per week. 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Lecture Electrical & Computer Engin Department Course Attributes: Upper Division
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  • ECE 415: Power Electronics

    4.00 Credits
    University of Michigan-Ann Arbor

    Introduction to power electronic circuit analysis and design. Power electronic circuits, power converters, power semiconductors. Time domain analysis emphasized. A design project is required. Four lecture/laboratory hours per week. 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Electrical & Computer Engin Department Course Attributes: Upper Division
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  • ECE 420: EMC Measurement and Testing

    3.00 Credits
    University of Michigan-Ann Arbor

    Introduction to EMC measurements, RF measurement fundamentals, EM waves, radiation mechanisms, measurement and measurement systems, screened rooms, open field test sites, practical measurements, conducted emission measurements, radiated emission measurements, radiated immunity, conducted immunity and electrostatic discharge. Projects will be assigned. (YR). 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Electrical & Computer Engin Department Course Attributes: Upper Division
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  • ECE 431: Electrical Eng Design

    4.00 Credits
    University of Michigan-Ann Arbor

    The course is conducted as a guided project design course with the class divided into teams and assigned a specific design project. Periodic progress reports are submitted during the term. A final written report and an oral presentation including demonstration are required at the end of the term. Cost analysis, evaluation of design alternatives and application of engineering principles are emphasized. Two scheduled contact hours and six hours open laboratories per week. 4.000 Credit hours 2.000 Lecture hours 6.000 Lab hours Levels: Undergraduate Schedule Types: Laboratory, Lecture Electrical & Computer Engin Department Course Attributes: Upper Division
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  • ECE 432: Electrical Eng Design

    6.00 Credits
    University of Michigan-Ann Arbor

    The course is conducted as a guided project design course over a two-semester period with the class divided into teams and assigned a specific design project. Periodic progress reports are submitted during the term. A final written report and an oral presentation including demonstration are required at the end of the term. Cost analysis, evaluation of design alternatives and application of engineering principles are emphasized. Two scheduled contact hours and six hours open laboratories per week. 6.000 Credit hours 2.000 Lecture hours 6.000 Lab hours Levels: Undergraduate Schedule Types: Laboratory, Lecture Electrical & Computer Engin Department Course Attributes: Upper Division
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  • ECE 433: Intr to Multimedia Technolgies

    4.00 Credits
    University of Michigan-Ann Arbor

    This course will introduce students to basic terminology and methods of multimedia. Basic concepts of digital audio will be reviewed, including frequency, sampling, and popular compression schemes. Concepts of digital images will be introduced, such as resolution, color theory, and compression formats. Basic concepts of digital video and animation will be introduced. Relevant web technologies will be reviewed. Four lecture hours per weeks. 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Lecture Electrical & Computer Engin Department Course Attributes: Upper Division
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  • ECE 434: Machine Learning in Engin

    4.00 Credits
    University of Michigan-Ann Arbor

    Introduce fundamental theories and basic techniques in machine learning with an emphasis on engineering applications. Topics include learning concepts, search algorithms, neural networks, fuzzy learning, paradigms for problem solving using machine learning. (F, W). 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Electrical & Computer Engin Department Course Attributes: Upper Division
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  • ECE 443: Intr to Electric Power Systems

    3.00 Credits
    University of Michigan-Ann Arbor

    Power system reliability, power system modeling, power system stability, load flow analysis, short circuit analysis, power system operation; philosophy of power system protection. Three lecture hours. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Electrical & Computer Engin Department Course Attributes: Upper Division
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  • ECE 446: Electromechanical Energy Conv

    4.00 Credits
    University of Michigan-Ann Arbor

    Introduces fundamental concepts and specifications of electromechanical energy conversion: AC and DC machines drive, electric and magnetic storage and transfer, transformer, and performance analysis of AC and DC machines. The topics include principles of energy conversion, permanent magnet synchronous machines, induction machines, and DC machines. The lab projects for the course will focus on modeling, evaluation, and practice of AC and DC machine drives based on computer simulation and DSP based experiments; transient and dynamic analysis; linearization and small signal analysis of machines. Four lecture/laboratory hours per week. 4.000 Credit hours 4.000 Lecture hours Levels: Graduate, Rackham, Undergraduate Schedule Types: Laboratory, Lecture Electrical & Computer Engin Department Course Attributes: Upper Division
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  • ECE 450: Analog and Digital Comm Sys

    4.00 Credits
    University of Michigan-Ann Arbor

    Topics include introduction to communication systems, base band communications, sampling theorem, amplitude and frequency modulation system design, statistical analysis of error and performance, digital modulation of analogy signals, digital communication and digital modulation schemes, random processes and applications in digital communications, and noise analysis, optimal receiver. Four lecture hours per week. 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Lecture Electrical & Computer Engin Department Course Attributes: Upper Division
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