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Course Criteria
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3.00 Credits
Introduction to VLSI design. The fabrication, device, circuit, and system aspects of VLSI design are covered in an integrated fashion. Emphasis is placed on NMOS and CMOS technology. Laboratory experiments focus on layout analysis, computer-aided layout, and logic and timing simulation. Project on digital design with standard cells. Prerequisites/Corequisites: Prerequisites: ECSE 2050 and ECSE 2610; ECSE 2210 recommended. Corequisite: ECSE 4040 or permission of instructor. When Offered: Fall and spring terms annually. Credit Hours: 3 Contact, Lecture or Lab Hours: 4 contact hours
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3.00 Credits
The theoretical and practical aspects of techniques utilized in the fabrication of silicon-based microcircuits. Imperfections in semiconductors, crystal growth, solid solubility, alloying and diffusion, ion implantation, oxide masking, epitaxy, metallization, etching, and photolithography. Fabrication techniques for bipolar and MOS-microcircuits, and the electrical performance of devices based on these techniques. Microcircuit design and layout. Students cannot receive credit for both this course and MTLE 4160. Prerequisites/Corequisites: Prerequisite: ECSE 2210. When Offered: Fall term annually. Credit Hours: 3
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3.00 Credits
Introduction to plasma physics with primary emphasis on the application of plasmas for controlled thermonuclear fusion. Plasma behavior and confinement concepts are analyzed from both single-particle and conducting-fluid models. The interaction of electromagnetic waves with plasmas, plasma transport, plasma stability, and a review of major fusion-oriented devices are also presented. Prerequisites/Corequisites: Prerequisite: ECSE 2100. When Offered: Offered on sufficient demand. Credit Hours: 3
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3.00 Credits
Application of linear feedback theory to the design of large-scale, integrated control systems. Derivation of complex mathematical models of physical systems. Synthesis of appropriate control laws to provide stability. Simulation of complex control systems on digital computers. Prerequisites/Corequisites: Prerequisite: ECSE 2410. When Offered: Fall term annually. Credit Hours: 3
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3.00 Credits
A survey of the fundamental issues necessary for the design, analysis, control, and implementation of robotic systems. The mathematical description of robot manipulators in terms of kinematics and dynamics. Hardware components of a typical robot arm. Path following, control, and sensing. Examples of several currently available manipulators. Prerequisites/Corequisites: Prerequisites: MATH-2400 and either MATH-2010 or ENGR-1100. When Offered: Fall term annually Cross Listed: Cross-listed as CSCI 4480. Students cannot receive credit for both this course and CSCI 4480. Credit Hours: 3
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3.00 Credits
This course introduces methods that leverage the basic analysis techniques learned in Robotics I to develop numerical and algorithmic techniques needed to endow robots with the "intelligence" todevise strategies to solve problems they will encounter. Once these abilities are sufficiently well developed, robots will become safe and autonomous, thus paving the way for pervasive personal robots. Topics include: configuration space representation, cell decomposition, roadmap methods, rapidly-exploring random trees, simultaneous localization and mapping, contact modeling, grasping, and dexterous manipulation.Prerequisites/Corequisites: Prerequisite: ECSE 4480 or CSCI 4480. When Offered: Spring term annually. Cross Listed: Cross-listed as ECSE 6490, CSCI 4490 and CSCI 6490. Students cannot receive credit for both this course and ECSE 6490, CSCI 4490 or CSCI 6490. Credit Hours: 3
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4.00 Credits
Axioms of probability, joint and conditional probability, random variables, probability density and distribution functions, functions of random variables, statistical averages, empirical distributions, parameter estimation, regression, tests of hypotheses, and Markov chains. Applications to engineering data such as device characteristics, failure rates, image processing and network traffic. Prerequisites/Corequisites: Prerequisite: ECSE 2410. When Offered: Fall, spring, and summer terms annually. Credit Hours: 4
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3.00 Credits
Sampling, quantization, reconstruction of signals. Digital filters. Mathematical tools used in the modeling, analysis, and synthesis of discrete-time communication and control systems. These include discrete Fourier transform, z-transform, state-variable, and transfer-function techniques. Applications to sampled-data control and quantized-data communications systems. Prerequisites/Corequisites: Prerequisite: ECSE 2410. When Offered: Fall and spring terms annually. Credit Hours: 3
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3.00 Credits
An introduction to signals and noise in electrical communication systems. Spectral analysis and filtering, including random signals. Modulation theory and techniques. Transmitter and receiver structures. System performance in the presence of noise. Prerequisites/Corequisites: Prerequisite: ECSE 2410. Corequisite: ECSE 4500. When Offered: Fall term annually. Credit Hours: 3
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3.00 Credits
An introduction to the field of image processing, covering both analytical and implementation aspects. Topics include the human visual system, cameras and image formation, image sampling and quantization, spatial- and frequency-domain image enhancement, filter design, image restoration, image coding and compression, morphological image processing, color image processing, image segmentation, and image reconstruction. Real-world examples and assignments drawn from consumer digital imaging, security and surveillance, and medical image processing. Prerequisites/Corequisites: Prerequisite: ECSE 4510. When Offered: Spring term annually. Credit Hours: 3
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