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Course Criteria
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3.00 Credits
Combinational and sequential logic design, minimization of combinational and sequential circuits, functional decomposition, reliable design and fault diagnosis; incompletely specified sequential machine design, asynchronous sequential circuits and interactive methods.
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3.00 Credits
Theoretical aspects and algebraic structure of sequential machines. Characterization of complete and incomplete machines, decomposition and state assignment problems. Deterministic and nondeterministic finite state machine identification. State-identification and fault-detection experiments.
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3.00 Credits
Topics relating to Software Development for engineering applications will be discussed. These include data structures, algorithm complexity and personal software development process.
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3.00 Credits
This course addresses the basics of computer architecture including central processing architecture, instruction set design, input/output and RAID, main memory, Cache, and virtual memory. Three lecture hours per week.
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3.00 Credits
This course addresses advances in reconfigurable computing techniques, design, and research. The course topics include introduction to RC, Hardware Description Language (HDL) such as VHDL and Verilog HDL, System-On-Chip (SOC), and Network-On-Chip (NOC). Three lecture hours per week.
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3.00 Credits
This course will cover fundamental concepts of information engineering, including theoretical concepts of how information is measured and transmitted, how information is structured and stored, and how information can be compressed and decompressed. Examples of topics include the format and processing of multimedia types of data, pattern recognition, learning algorithms, complexity, and networks, information engineering applications will be discussed. Three lecture hours per week.
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3.00 Credits
An in-depth study of selected topics in design and development of virtual systems in industrial environments. Topics include cyberspaces, techniques for generating virtual worlds in engineering applications, building blocks of virtual environments including hardware and software. Case studies.
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3.00 Credits
Advanced techniques and uses in operating system design. Distributed operating systems. Message-based operating systems. Operating systems for parallel architectures. Layered techniques in operating systems. Formal models of operating systems. Current trends in operating system design.
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3.00 Credits
Representative topics include: Intelligent systems design, training and evaluation, decision trees, Bayesian learning, reinforcement learning. A project will be required.
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3.00 Credits
This course addresses the analysis and design of discrete ¿time signals and systems. Students will become familiar with the mathematical tools needed for digital signal processing such as the Fourier transform, frequency response, the sampling theorem, and z-transform method. Topics covered will include the design of digital filters (IIR and FIR filters), characteristics of analog-to-digital and digital-to-analog converters, the spectral analysis of signals, and discrete filters. Three lecture hours per week.
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