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The basic objective of Unified Engineering is to give a solid understanding of the fundamental disciplines of aerospace engineering, as well as their interrelationships and applications. These disciplines are Materials and Structures (M); Computers and Programming (C); Fluid Mechanics (F); Thermodynamics (T); Propulsion (P); and Signals and Systems (S). In choosing to teach these subjects in a unified manner, the instructors seek to explain the common intellectual threads in these disciplines, as well as their combined application to solve engineering Systems Problems (SP). Throughout the year, the instructors emphasize the connections among the disciplines.Technical RequirementsMicrosoft® Excel software is recommended for viewing the .xls files The basic objective of Unified Engineering is to give a solid understanding of the fundamental disciplines of aerospace engineering, as well as their interrelationships and applications. These disciplines are Materials and Structures (M); Computers and Programming (C); Fluid Mechanics (F); Thermodynamics (T); Propulsion (P); and Signals and Systems (S). In choosing to teach these subjects in a unified manner, the instructors seek to explain the common intellectual threads in these disciplines, as well as their combined application to solve engineering Systems Problems (SP). Throughout the year, the instructors emphasize the connections among the disciplines.Technical RequirementsMicrosoft® Excel software is recommended for viewing the .xls files

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Includes audio/video content: AV selected lectures, AV faculty introductions, AV special element video. The basic objective of Unified Engineering is to give a solid understanding of the fundamental disciplines of aerospace engineering, as well as their interrelationships and applications. These disciplines are Materials and Structures (M); Computers and Programming (C); Fluid Mechanics (F); Thermodynamics (T); Propulsion (P); and Signals and Systems (S). In choosing to teach these subjects in a unified manner, the instructors seek to explain the common intellectual threads in these disciplines, as well as their combined application to solve engineering Systems Problems (SP). Throughout the year, the instructors emphasize the connections among the disciplines. Includes audio/video content: AV selected lectures, AV faculty introductions, AV special element video. The basic objective of Unified Engineering is to give a solid understanding of the fundamental disciplines of aerospace engineering, as well as their interrelationships and applications. These disciplines are Materials and Structures (M); Computers and Programming (C); Fluid Mechanics (F); Thermodynamics (T); Propulsion (P); and Signals and Systems (S). In choosing to teach these subjects in a unified manner, the instructors seek to explain the common intellectual threads in these disciplines, as well as their combined application to solve engineering Systems Problems (SP). Throughout the year, the instructors emphasize the connections among the disciplines.

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El presente curso es un curso b�sico de transformadores y circuitos magn�ticos para estudiantes de ingenier�a. Siempre que sea posible por la extensi�n del curso, se ha procurado que los conocimientos est�n asentados sobre bases f�sicas s�lidas, buscando su relaci�n con la F�sica b�sica o con la Teor�a de Circuitos. Sin embargo se ha procurado evitar aquellos aspectos te�ricos que no contribuyen a aportar un conocimiento pr�ctico. Adem�s de ser un curso b�sico de transformadores, en muchos planes de estudio esta asignatura se imparte un cuatrimestre despu�s de estudiar Teor�a de Circuitos, de modo que esta asignatura es la puerta de entrada al mundo de la Ingenier�a El�ctrica. El presente curso es un curso b�sico de transformadores y circuitos magn�ticos para estudiantes de ingenier�a. Siempre que sea posible por la extensi�n del curso, se ha procurado que los conocimientos est�n asentados sobre bases f�sicas s�lidas, buscando su relaci�n con la F�sica b�sica o con la Teor�a de Circuitos. Sin embargo se ha procurado evitar aquellos aspectos te�ricos que no contribuyen a aportar un conocimiento pr�ctico. Adem�s de ser un curso b�sico de transformadores, en muchos planes de estudio esta asignatura se imparte un cuatrimestre despu�s de estudiar Teor�a de Circuitos, de modo que esta asignatura es la puerta de entrada al mundo de la Ingenier�a El�ctrica.

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This course covers fundamentals of signal and system analysis, with applications drawn from filtering, audio and image processing, communications, and automatic control. Topics include convolution, Fourier series and transforms, sampling and discrete-time processing of continuous-time signals, modulation, Laplace and Z-transforms, and feedback systems. This course covers fundamentals of signal and system analysis, with applications drawn from filtering, audio and image processing, communications, and automatic control. Topics include convolution, Fourier series and transforms, sampling and discrete-time processing of continuous-time signals, modulation, Laplace and Z-transforms, and feedback systems.

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Includes audio/video content: AV lectures. This course was developed in 1987 by the MIT Center for Advanced Engineering Studies. It was designed as a distance-education course for engineers and scientists in the workplace. Advances in integrated circuit technology have had a major impact on the technical areas to which digital signal processing techniques and hardware are being applied. A thorough understanding of digital signal processing fundamentals and techniques is essential for anyone whose work is concerned with signal processing applications. Digital Signal Processing begins with a discussion of the analysis and representation of discrete-time signal systems, including discrete-time convolution, difference equations, the z-transform, and the discrete-time Fourier transform. Emphasi Includes audio/video content: AV lectures. This course was developed in 1987 by the MIT Center for Advanced Engineering Studies. It was designed as a distance-education course for engineers and scientists in the workplace. Advances in integrated circuit technology have had a major impact on the technical areas to which digital signal processing techniques and hardware are being applied. A thorough understanding of digital signal processing fundamentals and techniques is essential for anyone whose work is concerned with signal processing applications. Digital Signal Processing begins with a discussion of the analysis and representation of discrete-time signal systems, including discrete-time convolution, difference equations, the z-transform, and the discrete-time Fourier transform. Emphasi

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Stephanie Taylor speaks at the Gender, Geography and Punishment in Comparative Perspective workshop hosted by the Centre for Criminology and School of Geography and the Environment, University of Oxford, on the 22-23 June 2010. Stephanie Taylor speaks at the Gender, Geography and Punishment in Comparative Perspective workshop hosted by the Centre for Criminology and School of Geography and the Environment, University of Oxford, on the 22-23 June 2010.

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Rashad Shabazz speaks at the Gender, Geography and Punishment in Comparative Perspective workshop hosted by the Centre for Criminology and School of Geography and the Environment, University of Oxford, on the 22-23 June 2010. Rashad Shabazz speaks at the Gender, Geography and Punishment in Comparative Perspective workshop hosted by the Centre for Criminology and School of Geography and the Environment, University of Oxford, on the 22-23 June 2010.

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Mary McAuley speaks at the Gender, Geography and Punishment in Comparative Perspective workshop hosted by the Centre for Criminology and School of Geography and the Environment, University of Oxford, on the 22-23 June 2010. Mary McAuley speaks at the Gender, Geography and Punishment in Comparative Perspective workshop hosted by the Centre for Criminology and School of Geography and the Environment, University of Oxford, on the 22-23 June 2010.

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Stephen Hutchings speaks at the Gender, Geography and Punishment in Comparative Perspective workshop hosted by the Centre for Criminology and School of Geography and the Environment, University of Oxford, on the 22-23 June 2010. Stephen Hutchings speaks at the Gender, Geography and Punishment in Comparative Perspective workshop hosted by the Centre for Criminology and School of Geography and the Environment, University of Oxford, on the 22-23 June 2010.

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Alex Hall speaks at the Gender, Geography and Punishment in Comparative Perspective workshop hosted by the Centre for Criminology and School of Geography and the Environment, University of Oxford, on the 22-23 June 2010. Alex Hall speaks at the Gender, Geography and Punishment in Comparative Perspective workshop hosted by the Centre for Criminology and School of Geography and the Environment, University of Oxford, on the 22-23 June 2010.

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Helen Codd speaks at the Gender, Geography and Punishment in Comparative Perspective workshop hosted by the Centre for Criminology and School of Geography and the Environment, University of Oxford, on the 22-23 June 2010. Helen Codd speaks at the Gender, Geography and Punishment in Comparative Perspective workshop hosted by the Centre for Criminology and School of Geography and the Environment, University of Oxford, on the 22-23 June 2010.

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Sarah Armstrong speaks at the Gender, Geography and Punishment in Comparative Perspective workshop hosted by the Centre for Criminology and School of Geography and the Environment, University of Oxford, on the 22-23 June 2010. Sarah Armstrong speaks at the Gender, Geography and Punishment in Comparative Perspective workshop hosted by the Centre for Criminology and School of Geography and the Environment, University of Oxford, on the 22-23 June 2010.

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6.241 examines linear, discrete- and continuous-time, and multi-input-output systems in control and related areas. Least squares and matrix perturbation problems are considered. Topics covered include: state-space models, modes, stability, controllability, observability, transfer function matrices, poles and zeros, minimality, internal stability of interconnected systems, feedback compensators, state feedback, optimal regulation, observers, observer-based compensators, measures of control performance, and robustness issues using singular values of transfer functions. Nonlinear systems are also introduced. 6.241 examines linear, discrete- and continuous-time, and multi-input-output systems in control and related areas. Least squares and matrix perturbation problems are considered. Topics covered include: state-space models, modes, stability, controllability, observability, transfer function matrices, poles and zeros, minimality, internal stability of interconnected systems, feedback compensators, state feedback, optimal regulation, observers, observer-based compensators, measures of control performance, and robustness issues using singular values of transfer functions. Nonlinear systems are also introduced.

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This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, taken from the disciplines of artificial intelligence and operations research. Reasoning paradigms include logic and deduction, heuristic and constraint-based search, model-based reasoning, planning and execution, reasoning under uncertainty, and machine learning. Optimization paradigms include linear, integer and dynamic programming. Decision-making paradigms include decision theoretic planning, and Markov decision processes. This course is offered both to undergraduate (16.410) students as a professional area undergraduate subject, in the field of aerospace information This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, taken from the disciplines of artificial intelligence and operations research. Reasoning paradigms include logic and deduction, heuristic and constraint-based search, model-based reasoning, planning and execution, reasoning under uncertainty, and machine learning. Optimization paradigms include linear, integer and dynamic programming. Decision-making paradigms include decision theoretic planning, and Markov decision processes. This course is offered both to undergraduate (16.410) students as a professional area undergraduate subject, in the field of aerospace information

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This course introduces fundamental concepts in "continuous'' applied mathematics, with an emphasis on nonlinear partial differential equations (PDEs). Topics include linear and nonlinear waves: kinematic waves, method of characteristics, expansion fans, wave breaking, shock dynamics, shock structure; linear and nonlinear diffusion: Green functions, Fourier transform, similarity solutions, boundary layers, Nernst-Planck equations. Applications include traffic flow, gas dynamics, and granular flow. This course introduces fundamental concepts in "continuous'' applied mathematics, with an emphasis on nonlinear partial differential equations (PDEs). Topics include linear and nonlinear waves: kinematic waves, method of characteristics, expansion fans, wave breaking, shock dynamics, shock structure; linear and nonlinear diffusion: Green functions, Fourier transform, similarity solutions, boundary layers, Nernst-Planck equations. Applications include traffic flow, gas dynamics, and granular flow.

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2.51 is a 12-unit subject, serving as the Mechanical Engineering Department's advanced undergraduate course in heat and mass transfer. The prerequisites for this course are the undergraduate courses in thermodynamics and fluid mechanics, specifically Thermal Fluids Engineering I and Thermal Fluids Engineering II or their equivalents. This course covers problems of heat and mass transfer in greater depth and complexity than is done in those courses and incorporates many subjects that are not included or are treated lightly in those courses; analysis is given greater emphasis than the use of correlations. Course 2.51 is directed at undergraduates having a strong interest in thermal science and graduate students who have not previously studied heat transfer. 2.51 is a 12-unit subject, serving as the Mechanical Engineering Department's advanced undergraduate course in heat and mass transfer. The prerequisites for this course are the undergraduate courses in thermodynamics and fluid mechanics, specifically Thermal Fluids Engineering I and Thermal Fluids Engineering II or their equivalents. This course covers problems of heat and mass transfer in greater depth and complexity than is done in those courses and incorporates many subjects that are not included or are treated lightly in those courses; analysis is given greater emphasis than the use of correlations. Course 2.51 is directed at undergraduates having a strong interest in thermal science and graduate students who have not previously studied heat transfer.

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This course focuses on laws, approximations, and relations of continuum electromechanics. Topics include mechanical and electromechanical transfer relations, statics and dynamics of electromechanical systems having a static equilibrium, electromechanical flows, and field coupling with thermal and molecular diffusion. See the syllabus section for a more detailed list of topics. This course focuses on laws, approximations, and relations of continuum electromechanics. Topics include mechanical and electromechanical transfer relations, statics and dynamics of electromechanical systems having a static equilibrium, electromechanical flows, and field coupling with thermal and molecular diffusion. See the syllabus section for a more detailed list of topics.

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