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18 450: Digital Communications
12.00 Credits
Carnegie Mellon University
In this course, the communication problem will be introduced, and channel impairments such as noise, inter-symbol interference and fading will be described. Solutions to combat these impairments, based on digital communication theory, will be described. These will include signal space analysis, detection, equalization, coding and diversity. Throughout the course, the emphasis will be on discovering unifying ideas in transmission, rather than specifying the details of each application. 4 hrs. lec. This course was previously titled "Digital Wireless Communications"
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18 450 - Digital Communications
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18 472: Fundamentals of Electric Power Systems
12.00 Credits
Carnegie Mellon University
No course description available.
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18 472 - Fundamentals of Electric Power Systems
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18 474: Embedded Control Systems
12.00 Credits
Carnegie Mellon University
This course introduces principles for design of embedded controllers. In applications ranging from airplanes, to automobiles, to manufacturing systems, embedded computers now close feedback loops that were previously closed by mechanical devices or by humans in the loop. This course emphasizes practical insight into the tools for modeling and simulating these dynamic physical systems, and methods for designing the real-time software for embedded computers to control them. Lectures cover relevant theory and background from real-time systems and control engineering, including event-based and clock-based sampling, switching control, PWM (pulse-width modulation), PID (proportional-integral-derivative) design, state-variable feedback, state estimation, and methods for setpoint control and trajectory tracking. Basic embedded computing, sensor, and actuator technologies are reviewed, including microcontrollers, DC motors and optical encoders. In the laboratory, students use commercial tools for simulation and automatic code generation to design and implement embedded control system experiments. 3 hrs. lecture, 3 hrs. lab.
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18 474 - Embedded Control Systems
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18 482: Telecommunications, Technology Policy & Management
12.00 Credits
Carnegie Mellon University
This course provides a comprehensive introduction to basic principles of telecommunications technology and the telephone network, and the legal, economic, and regulatory environment of the telecommunications industry. Role of new technologies such as fiber, integrated digital networks, computer communications, and information services. Common carrier law and the economics of natural monopoly as the basis for regulation of the telecommunications industry. Issues of competition, monopoly and technical standards. Spectrum allocation and management. International communications and transborder data flow. Special emphasis on how the new technologies have altered and are altered by regulation. Junior or Senior standing required.
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18 482 - Telecommunications, Technology Policy & Management
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18 487: Introduction to Computer & Network Security & Applied Cryptography
12.00 Credits
Carnegie Mellon University
Security is becoming one of the core requirements in the design of critical systems. This course will introduce students to the intro-level fundamental knowledge of computer security and applied cryptography. Students will learn the basic concepts in computer security including software vulnerability analysis and defense, networking and wireless security, and applied cryptography. Students will also learn the fundamental methodology for how to design and analyze security critical systems.
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18 487 - Introduction to Computer & Network Security & Applied Cryptography
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18 491: Fundamentals of Signal Processing
12.00 Credits
Carnegie Mellon University
This course addresses the mathematics, implementation, design and application of the digital signal processing algorithms widely used in areas such as multimedia telecommunications and speech and image processing. Topics include discrete-time signals and systems, discrete-time Fourier transforms and Z-transforms, discrete Fourier transforms and fast Fourier transforms, digital filter design and implementation, and multi-rate signal processing. The course will include introductory discussions of 2-dimensional signal processing, linear prediction, adaptive filtering, and selected application areas. Classroom lectures are supplemented with implementation exercises using MATLAB.
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18 491 - Fundamentals of Signal Processing
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18 496: Introduction to Biomedical Imaging and Image Analysis
12.00 Credits
Carnegie Mellon University
Bioimage Informatics (formerly Bioimaging) This course gives an overview of tools and tasks in various biological and biomedical imaging modalities, such as fluorescence microscopy, electron microscopy, magnetic resonance imaging, ultrasound and others. The major focus will be on automating and solving the fundamental tasks required for interpreting these images, including (but not restricted to) deconvolution, registration, segmentation, pattern recognition, and modeling, as well as tools needed to solve those tasks (such as Fourier and wavelet methods). The discussion of these topics will draw on approaches from many fields, including statistics, signal processing, and machine learning. As part of the course, students will be expected to complete an independent project.
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18 496 - Introduction to Biomedical Imaging and Image Analysis
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18 499: Internship
0.00 - 3.00 Credits
Carnegie Mellon University
The Department of Electrical and Computer Engineering at Carnegie Mellon considers experiential learning opportunities important educational options for its undergraduate students. One such option is an internship, normally completed during the summer. Students do not need to officially register for an internship unless they want it listed on their official transcripts. ECE students interested in registering their internship for course credit on their transcript may request to be enrolled in this course. The ECE Undergraduate Office will add the course to the student's schedule, and the student will be assessed tuition for 3 units. This process should be used by international students interested in Curricular Practical Training (CPT) or by any other engineering undergraduate wishing to have their internship experience reflected on their official University transcript. International students should also be authorized by the Office of International Education (OIE). More information regarding CPT is available on OIE's website.
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18 499 - Internship
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18 510: Sensor Systems Design
12.00 Credits
Carnegie Mellon University
Please refer to the ECE webpage for a full description of this course. http://www.ece.cmu.edu/courses/18510
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18 510 - Sensor Systems Design
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18 513: RF Circuits and Antennas for Wireless Systems
12.00 Credits
Carnegie Mellon University
The demand for wireless products is growing at an impressive rate. This interdisciplinary course will team students from electromagnetics with students from analog circuit design to explore the concepts of basic antenna design and measurement as well as RF transceivers. The students will have the opportunity to design and build transmitter or receiver sub-systems, based on their application of interest. Designs may be done with discrete components for AM, FM and VHF (TV) receptions or with integrated components for UHF applications, such TV, wi-fi, etc. Integrated with these efforts will be the design of several types of widely used antennas. Students will design, construct, and test an antenna to meet stated specifications using a combination of theory, electromagnetic simulators and lab experiments. The focus of this course will be the construction of an antenna/tranciever system. In addition to the project, several lectures will be given to introduce students to the specific applications and to consolidate previous course materials as they apply to the project.
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18 513 - RF Circuits and Antennas for Wireless Systems
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