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ELE 461: Design with Nanotechnologies
0.00 - 4.00 Credits
Princeton University
Introduction to nanotechnologies; threshold logic/majority logic and their applications to RTDs, QCA and SETs; nanowire based crossbars and PLAs; carbon nanotube based circuits; double-gate CMOS-based circuits; reversible logic for quantum computing; non-volatile memory; nanopipelining; testing; and defect tolerance.
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ELE 461 - Design with Nanotechnologies
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ELE 462: Design of Very Large-Scale Integrated (VLSI) Systems
0.00 - 4.00 Credits
Princeton University
Analysis and design of digital integrated circuits using deep sub-micron CMOS technologies. Emphasis on design, including synthesis, simulation, layout and post-layout verification. Analysis of energy, power, performance, and area of logic-gates, interconnect and signaling structures.
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ELE 462 - Design of Very Large-Scale Integrated (VLSI) Systems
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ELE 465: Switching and Sequential Systems
0.00 - 4.00 Credits
Princeton University
This course is designed to give seniors and first-year graduate students an introduction to switching and sequential systems. Topics include threshold logic for nanotechnology; digital system testing; finite-state machine synthesis and minimization; asynchronous sequential circuits; structure of sequential machines; machine identification; memory, definiteness and information losslessness of finite automata; finite-state recognizers.
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ELE 465 - Switching and Sequential Systems
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ELE 475: Computer Architecture
0.00 - 4.00 Credits
Princeton University
Modern computer processor, platform and infrastructure architectures. Instruction-set architecture and high-performance processor organization including pipelining, data and instruction parallelism. Cache, memory and storage architectures. Coherent multiprocessors. Interconnection and network infrastructures.
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ELE 475 - Computer Architecture
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ELE 480: fMRI Decoding: Reading Minds Using Brain Scans
0.00 - 4.00 Credits
Princeton University
How can we decode what people are thinking by looking at their brain scans? Over the past several years, researchers have started to address this question by applying sophisticated pattern-classification algorithms to patterns of functional MRI data, with the goal of decoding the information that is represented in the subject's brain at a particular point in time. In lectures, students will learn about cutting-edge techniques for finding meaningful patterns in large, noisy datasets; in weekly computer labs, students will use these techniques to gain insight into fMRI datasets.
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ELE 480 - fMRI Decoding: Reading Minds Using Brain Scans
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ELE 482: Digital Signal Processing
0.00 - 4.00 Credits
Princeton University
The lectures will cover: (1) Basic principles of digital signal processing. (2) Design of digital filters. (3) Fourier analysis and the fast Fourier transform. (4) Roundoff errors in digital signal processing. (5) Applications of digital signal processing.
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ELE 482 - Digital Signal Processing
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ELE 485: Signal Analysis and Communication Systems
0.00 - 4.00 Credits
Princeton University
The course deals with the engineering aspects of analog and digital communications. Systems discussed include AM/FM radio and TV broadcasting, digital communications such as phase and frequency shift keying, satellite communications, and mobile (cellular) telephony. Topics studied include: continuous wave-modulation (AM and FM), pulse modulated systems, multiplexing, random processes and noise modeling, correlation functions and power spectra, SNR (signal-to-noise) evaluation in analog communications, probability of error calculation in digital communications, synchronization and spread spectrum systems.
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ELE 485 - Signal Analysis and Communication Systems
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ELE 486: Digital Communications and Networks
0.00 - 4.00 Credits
Princeton University
Historical overview of digital communications. Introductory information theory. Data compression. Error detection and correction code. Baseband transmission systems and optimum reception. Digital modulation and demodulation.
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ELE 486 - Digital Communications and Networks
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ELE 488: Image Processing
0.00 - 4.00 Credits
Princeton University
Introduction to the basic theory and techniques of image processing. Topics include image perception, acquisition, display, enhancement, restoration, compression, transformation, tomography, medical imaging, video coding and content analysis. Applications to HDTV, machine vision, medical imaging, etc.
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ELE 488 - Image Processing
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ELE 491: High-Tech Entrepreneurship
0.00 - 4.00 Credits
Princeton University
This "hands-on" practical course introduces students to the analysis and actions required to launch a successful high tech company. Using several conceptual frameworks and analytical techniques, it addresses the challenges of evaluating technologics for commercial feasibility, determining how best to launch a new venture, attracting the resources needed to start a company (e.g. people, corporate partners, and venture capital), preparing comprehensive business plans, structuring business relationships, and managing early stage companies toward "launch velocity" and sustainable growth.
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ELE 491 - High-Tech Entrepreneurship
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