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Course Criteria
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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" to devise 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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4.00 Credits
Optical physics and applications of lasers. Design of optical systems. Topics include: wave optics and beam propagation, Gaussian beams, resonators, optical properties of atoms and laser gain media, laser amplifiers, pulsed laser systems, applications of lasers, nonlinear optics. Three lecture hours and three laboratory hours per week. Prerequisites/Corequisites: Prerequisite: PHYS 2620 recommended. When Offered: Fall term odd-numbered years. Cross Listed: Cross-isted as PHYS 4630. Students cannot receive credit for both this course and PHYS 4630. Credit Hours: 4
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4.00 Credits
Phenomena, materials, and devices for optical communications and computing. Topics include: guided wave and fiber optics, integrated optics, electro-optic and nonlinear optical switching, pulse and soliton propagation, sources and detectors. Three lecture hours and three laboratory hours per week. Prerequisites/Corequisites: Prerequisite: PHYS 2620. When Offered: Fall term even-numbered years. Cross Listed: Cross-listed as PHYS 4640. Students cannot receive credit for both this course and PHYS 4640. Credit Hours: 4
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3.00 Credits
Introduction to the basic concepts of computer and communication networks, like flow control, congestion control, end-to-end reliability, routing, framing, error-recovery, multiple access and statistical multiplexing. In-depth presentation of the different networking layers, with emphasis on the Internet reference model. Protocols and architectures such as TCP, IP, Ethernet, wireless networks, etc. are described in order to illustrate important networking concepts. Introduction to quantitiative analysis and modeling of networks. Prerequisites/Corequisites: Prerequisites: ECSE 2610 and basic probability such as in MATH 2800, ENGR-2600 or ECSE 4500. When Offered: Fall term annually. Credit Hours: 3
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3.00 Credits
This senior-level laboratory course teaches tools and techniques used in the design and analysis of computer networks and protocols such as simulation, animation, visualization, experiment design, trace collection/analysis, protocol development on Linux, and modular router development platforms (eg: Linux-based "Click" and Intel IXA platform). Each tool is developed in a networking protocol context such as TCP reliable transport, TCP congestion control, routing protocols (RIP, OSPF, BGP), network management and 802.11 wireless networks.Prerequisites/Corequisites: Prerequisite: C programming skills. Corequisite: ECSE 4670. When Offered: Fall term annually. Credit Hours: 3
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3.00 Credits
Development of computer-aided design techniques using computer graphics. Interactive design structures. Geometric modeling and computational geometry. Three-dimensional curve and surface geometry. Curve and surface design. Introduction to industrial interactive design systems. Extensive use of the Rensselaer Computer Graphics System. Prerequisites/Corequisites: Prerequisite: CSCI 1100 or thorough knowledge of a scientific computer language, preferably C. Credit Hours: 3
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