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  • ECE 461: Microprocessors I

    3.00 Credits
    University of Massachusetts-Dartmouth

    3 hours lecture Prerequisites: ECE 263; and CIS 370 or ECE 367 Design and construction of a microprocessor based computer system. Students will learn how a computer operates at the chip level and develop an understanding of the interdependence of hardware and software. Students will develop circuitry and software to control CPU interaction with SRAM, ROM and peripheral chips, as well as reset and boot-up control and interrupt handling. At the end of the course, students will have produced a working computer.
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  • ECE 462: Microprocessors II

    3.00 Credits
    University of Massachusetts-Dartmouth

    3 hours lecture Prerequisites: ECE 461 Design and construction of an advanced microprocessor computer system. This course is a continuation of ECE 461 in which students will modify the previous design to accommodate multiple processors to achieve parallel computation or use an advanced microprocessor to achieve higher performance.
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  • ECE 466: Database Programming

    3.00 Credits
    University of Massachusetts-Dartmouth

    2 hours lecture, 3 hours laboratory Prerequisites: ECE 264, MTH 181 or MTH 350; and MTH 331 or ECE 384 Database management system specification, design, implementation, operations and evaluation introduced using a current industrial grade database management system (Oracle, IBM DB2, Microsoft SQL or Informix UDS). SQL language concepts including object-relational operations, object-language relational schema modeling using entity-relationship modeling concepts, data definition language, data manipulation language, data control language, persistent stored modules, triggers and assertions specification and use, applied within both ad-hoc and embedded systems environments are investigated in a studio classroom context. The laboratories include team database application development projects utilizing all major elements of contemporary object-relational database languages aimed at developing least cost solutions to contemporary information management problems.
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  • ECE 467: Advanced Database Design

    3.00 Credits
    University of Massachusetts-Dartmouth

    2 hours lecture, 3 hours laboratory Prerequisites: ECE 466 Database management systems and operations. Students learn how to describe and design a database, how to describe and specify embedded and ad-hoc database applications, and how to develop least cost solutions to information management problems integrated through a series of database design exercises implemented within an industry grade database management system. Topics include database management systems architecture and operations, database applications specification, database stored procedure design, database embedded program design, and database ad-hoc specification and design.
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  • ECE 468: Advanced Computer Architecture

    3.00 Credits
    University of Massachusetts-Dartmouth

    3 hours lecture Prerequisites: ECE 456 Advanced computer design, emphasizing fundamental limitations and tradeoffs in designing high performance computer systems. Students develop an understanding of the theoretical foundations in both hardware and software by studying parallel computer models; program partitioning, granularity, and latency; processor architectures and interconnects; and memory hierarchy, interleaving and bandwidth. Specific architectures such as shared memory multi-processors, message passing multi-computers, and superscalar, supervector, VLIW and dataflow designs will be explored.
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  • ECE 469: Computer Networks

    3.00 Credits
    University of Massachusetts-Dartmouth

    3 hours lecture Prerequisites: ECE 201; and ECE 367 or CIS 370 Introduction to current networking methodologies. Backbone design, layered architecture, protocols, local and wide area networks, internetworking, broadband, electrical interface, and data transmission. Projects are included.
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  • ECE 471: Communication Theory

    3.00 Credits
    University of Massachusetts-Dartmouth

    3 hours lecture Prerequisites: ECE 321 and 384 Probability theory,signals and linear networks, Fourier transforms, random processes and noise are reviewed.Analog communications including amplitude and frequency modulation with and without noise are studied. Digital communications including baseband pulse modulation, quantization, sampling theory,digital pulse shaping, matched filter, Nyquist criterion and error rates due to noise are covered.
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  • ECE 472: Advanced Communications Systems

    3.00 Credits
    University of Massachusetts-Dartmouth

    3 hours lecture Prerequisites: ECE 471 Continuation of ECE 471. Signal-space analysis is introduced. Passband digital transmission, direct sequence and frequency-hop spread-spectrum modulation and multiuser radio are studied. Entropy is discussed and channel capacity is derived. Block and convolutional error-control coding is covered.
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  • ECE 473: Wireless Sensor Networks

    3.00 Credits
    University of Massachusetts-Dartmouth

    Prerequisites: ECE 469 Theory, programming and operation of wireless sensors and wireless sensor networks. This course covers the theory, design, implementations and limitations of state-of-the-art wireless sensors and wireless sensor networks. Additionally, students will develop specific hands-on skills in programming and using wireless sensor motes, associated middleware and a modern mote development environment.
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  • ECE 475: Digital Signal Processing

    3.00 Credits
    University of Massachusetts-Dartmouth

    3 hours lecture Prerequisites: ECE 320 Methods and techniques for digital signal processing, covering the basic principles governing the design and use of digital systems as signal processing devices. Review of discrete-time linear systems, Fourier transforms and z-transforms. Topics include allpass and minimum-phase systems, linear phase systems and group delay, sampling, decimation, interpolation, discrete-time filter design and implementation, discrete Fourier series, discrete Fourier transform, the fast Fourier transform, and basic spectral estimation. Applications to digital processing of real data are included.
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