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Course Criteria
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4.00 Credits
Two-dimensional systems, image perception, image digitization (sampling and quantization), image transforms (Fourier, Cosine, K-L transforms), image enhancement (histogram equalization, filtering, spatial operation).
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4.00 Credits
Comprehensive design automation systems. Problems of system and high-level synthesis. Register-transfer and hardware description languages. Data path design: scheduling and allocation. Design methods for systolic, pipelined, cellular and dynamic architectures. System issues. System-level silicon compilers. Group project: using high-level tools for design of a complete VLSI ASIC chip or FPGA architecture: vision, DSP, or controller.
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4.00 Credits
Course will cover the traditional role of IC test in parametric and functional testing and the changing role of IC testing in semiconductor design and manufacturing. The course is divided into three parts. The first part reviews integrated circuit technologies and fault modeling. The second introduces digital IC test, DC parametric testing, and functional and structural testing. The third part examines technology trends.
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4.00 Credits
Basic problems of intelligent robotics. Hardware for Artificial Intelligence and Robotics. Formulation and reduction of problems. Tree-search. Predicate calculus and resolution method. Methods of formulating and solving problems in logic programming. Fuzzy Logic. Logic programming and artificial intelligence in robot systems. Reasoning by analogy and induction. Associative processors.
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4.00 Credits
Covers the fundamentals of the ASIC design process. The topics include ASIC design Flow, basic HDL constructs, testbenches, modeling combinational and synchronous logic, modeling finite state machines, multiple clock domain designs, qualitative design issues, ASIC constructions.
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4.00 Credits
Advanced hardware and software design of desktop type microcomputer systems. Topics include large project design management and documentation; DRAM system design, cache organization, connections, and coherency; the memory hierarchy and virtual memory; I/O buses such as AGP, PCI-X, and Infiniband; multithreaded operating system considerations; JTAG(IEEE1149.1) and Design For Test; high frequency signal integrity; and power supply considerations. Team-based, independent design projects are a substantial part of the homework for this class. Prerequisite: ECE 371.
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4.00 Credits
Discussion of parallel computer architectures and their uses. Key topics include MIMD architectures; associative processing; shared-memory and message-passing architectures; dataflow and reduction architectures; special-purpose processors; design and analysis of interconnection networks; and an overview of parallel software issues. Students will complete the project started in ECE 587.
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4.00 Credits
Laser topics: especially design of laser, fiber-optic, and related optical systems. Formation and propagation of modes and beams, matrix methods for the analysis and synthesis of optical systems.
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4.00 Credits
An introduction to the formulation and application of wave mechanics; the Schrödinger equation and its application to time-independent problems (both one- and three-dimensional problems); identical particles; approximation methods including mainly time-independent perturbations. Brief exploration of the potential applications of quantum mechanics to engineering: quantum nano-structures and quantum computers. This course is the same as Ph 511; course may only be taken once for credit.
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4.00 Credits
Unified introduction to the theory, implementation, and application of statistical signal processing methods. Focus on optimum linear filters, least square filters, the Kalman filter, signal modeling, and parametric spectral estimation. Designed to give a solid foundation in the underlying theory balanced with examples of practical applications and limitations.
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