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Course Criteria
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3.00 Credits
This lab course is intended to give students hands-on practice on measurements and applications of nanoelectronics devices combined with development and implementation of interfacing instrumentation. Single-Electron and Nanomagnetic devices are the primary subjects of the course.
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3.00 Credits
After reviewing the charactaristics of teh wireless channel, we discuss current cellular and local area wireless networks (GSM, IS-95, UMTS, 802.11, 802.15, HiperLAN, HomeRF, Bluetooth) to gain insight into their architectures and protocols. The second part of the course covers wireless ad hoc and sensor networks, addressing the challenges and proposed solutions, with an emphasis on modeling and cross-layer protocol design aspects. In the third part, we will discuss emerging wireless technologies such as ultra-wideband, software-defined radio, virtual antenna arrays, and cognitive radio techniques and their use in future wireless networks.
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3.00 Credits
Hypothesis testing, optimization criteria (Bayes, minimax, Neyman-Pearson, etc.), likelihood ratios, detection of known signals, matched filters, Fredholm integral equation, detection of signals with unknown parameters, sequential probability ratio test, nonparametric detection, estimation of signal parameters, MLE, optimum receivers.
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2.00 Credits
Introduction to simulation & modeling methodologies. Review of LTI systems. Discrete time representation of lowpass and bandpass signals and systems, Sampling and its implication in simulation. Review of digital filter design. Effect of finite word length in simulation of digital filters. Models for linear time varying systems. Simulation models for nonlinear systems. Review of porbability theory and random processes. Monte-Carlo simulations and random number generation. Generation of independent and correlated random sequences. Testing of random number generators. Modeling and simulation of wireless channel models, waveform level and discrete Markov channel models. Modeling of transmitter/receiver fuctional blocks in communication systems. Estimation of performance measure from simulation using Monte-Carlo simulations, tail extrapolation, and imprtance sampling. Case studies on simulation of wireless communication systems.
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3.00 Credits
The class will cover advanced topics on epitaxial growth of semiconductor nanostructures, transport, device physics and technology. The class will comprise of finding, reading, and analysis of research papers, writing reports, discussions, and oral presentations. Students will be required to think independently, come up with new ideas, and work under the instructor's guidance with the intention of publishing their work.
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3.00 Credits
Coverage of results in the area of robust stability of dynamical systems. The emphasis is placed on the case of structured uncertainties, i.e. uncertainities that are described in the coecient space. The course is self contained and rquires no prior graduate level knowledge in the aira of stability, systems, or control. All major theorems will be shown from _rst principles. The mateiral covered stretches from elementary concepts such as the principle of argument, Hurwitz and Schur stabilitiy and the Hermite-Biehler Theorem to the use of piece-wise linerar Lyapunov functions and semi-groups for the analysis of time-varient/nonlinear systems stability. The developed concepts are illustrated using examples from the areas of networking, in particular congestion control, and sensor-actuator networks and systems.
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1.00 Credits
Fundamentals of vacuum environments and systems for microelectronics applications. A survey of vacuum pumps, gauges, and practices will be presented.
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1.00 Credits
A short introduction to fundamentals of scanning electron microscopy and electron beam lithography. SEM fundamentals will be used to illustrate issues in nanofabrication by EBL.
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1.00 Credits
A short introduction to the wide array of technologies used for performing lithography below 0.1 micron.
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3.00 Credits
This course provides an introduction to the basic measures used to characterize information and complexity. Topics include: NP Completeness, Kolnogorov Complexity, and Entropy. All of thse concepts are then used to study cryptographic systems.
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