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  • 0.00 Credits

    No course description available.
  • 4.00 Credits

    This course provides in-depth discussions of the design and implementation issues of microprocessors and general-purpose computing systems based on them. The course is intended for students doing research in computer architecture or a closely related area to understand the advanced topics in the design of microarchitecture, the coherence and communication substrate, emerging issues and challenges in the design stack (e.g., energy efficiency, reliability, and complexity), and their interplay.
  • 4.00 Credits

    The objective of this course is to make engineering and physical science majors conversant in the important elements of electric power, from conversion to consumption. We will describe how the principal sources of energy - coal, natural gas, impounded water (hydroelectric), and fissile materials - are exploited to create electric power, to study how it is distributed through the grid and finally then how it is consumed. To assure that students gain a proper appreciation for the factors that determine the real cost of electricity per kilowatt-hour, the subject will be treated in a highly quantitative way. The goal will be to provide students with the information and tools they need for informed analysis of the true prospects and technological challenges of new energy sources, such as biomass, wind power, and oil shales, and assessment of the opportunities to improve distribution and usage efficiency through a Smart Grid.
  • 4.00 Credits

    Visual perception, image sensing and acquisition, image sampling and quantization, basic relationships between pixels. Basic intensity transformation functions, histogram processing, fundamental of spatial filtering, smoothing filters, sharpening filters, fuzzy techniques for intensity transformations and spatial filtering. Sampling and the Fourier transform, discrete Fourier transform of one and two variables, image smoothing using frequency domain filters, Image Sharpening using Fourier domain filters. Restoration in the presence of noise, periodic noise reduction by frequency domain filtering, estimating degradation function, inverse filtering, constrained least squares filtering, image reconstruction from projections. Multi-resolution expansions, wavelet transforms. erosion and dilatGray-scale morphology. Thresholding, region based segmentation, morphology watersheds.
  • 4.00 Credits

    Physics and implementation of X-ray, ultrasonic, and MR imaging systems. Special attention given to the Fourier transform relations and reconstruction algorithms of X-ray and ultrasonic-computed tomography, and MRI.
  • 4.00 Credits

    In this course students are introduced to the advanced concepts and principles of dynamic systems and linear control. The course emphasizes a state space approach. Topics covered include state-space models, modes, stability, controllability, observability, transfer function matrices, poles and zeros, and state feedback.
  • 0.00 Credits

    No course description available.
  • 0.00 Credits

    No course description available.
  • 4.00 Credits

    This course provides an opportunity to examine the management practices associated with technical innovation and new business development. The analysis of entrepreneurship is evaluated primarily from the perspective of a start-up venture that requires equity capital investment. Management issues discussed include organizational development, analysis of market opportunities, market engagement, financial planning and control, capitalization, sources of funds, the due-diligence process and valuing the venture. Teams of three to four students will collaborate in the preparation of a business plan. The course will include time for students to share business ideas and identify possible team members. Each team will have a coach who is an experienced businessperson. The coach will be available to provide feedback to the team.
  • 3.00 Credits

    In this class students will explore system engineering via the ISO9000 product development process and will illustrate how to use this process to develop both products and research systems that meet necessary specifications. The first eight weeks emphasize system integration including the development of the product development plans, partitioning of a system into subsystems, quantitative analysis of system performance and the role of prototypes. The second half of the semester emphasizes the planning needed to take systems to manufacture. During the course the students will prepare a product development plan on a project that was selected during TEM 440. The course is intended to be interactive. A portion of the classes will be dedicated to "brain-storming" solutions to technical problems and formal design reviews where the students will review the project plans of other students.
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