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Description

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 informationSubjects

autonomy | autonomy | decision | decision | decision-making | decision-making | reasoning | reasoning | optimization | optimization | autonomous | autonomous | autonomous systems | autonomous systems | decision support | decision support | algorithms | algorithms | artificial intelligence | artificial intelligence | a.i. | a.i. | operations | operations | operations research | operations research | logic | logic | deduction | deduction | heuristic search | heuristic search | constraint-based search | constraint-based search | model-based reasoning | model-based reasoning | planning | planning | execution | execution | uncertainty | uncertainty | machine learning | machine learning | linear programming | linear programming | dynamic programming | dynamic programming | integer programming | integer programming | network optimization | network optimization | decision analysis | decision analysis | decision theoretic planning | decision theoretic planning | Markov decision process | Markov decision process | scheme | scheme | propositional logic | propositional logic | constraints | constraints | Markov processes | Markov processes | computational performance | computational performance | satisfaction | satisfaction | learning algorithms | learning algorithms | system state | system state | state | state | search treees | search treees | plan spaces | plan spaces | model theory | model theory | decision trees | decision trees | function approximators | function approximators | optimization algorithms | optimization algorithms | limitations | limitations | tradeoffs | tradeoffs | search and reasoning | search and reasoning | game tree search | game tree search | local stochastic search | local stochastic search | stochastic | stochastic | genetic algorithms | genetic algorithms | constraint satisfaction | constraint satisfaction | propositional inference | propositional inference | rule-based systems | rule-based systems | rule-based | rule-based | model-based diagnosis | model-based diagnosis | neural nets | neural nets | reinforcement learning | reinforcement learning | web-based | web-based | search trees | search treesLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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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 informationSubjects

autonomy | autonomy | decision | decision | decision-making | decision-making | reasoning | reasoning | optimization | optimization | autonomous | autonomous | autonomous systems | autonomous systems | decision support | decision support | algorithms | algorithms | artificial intelligence | artificial intelligence | a.i. | a.i. | operations | operations | operations research | operations research | logic | logic | deduction | deduction | heuristic search | heuristic search | constraint-based search | constraint-based search | model-based reasoning | model-based reasoning | planning | planning | execution | execution | uncertainty | uncertainty | machine learning | machine learning | linear programming | linear programming | dynamic programming | dynamic programming | integer programming | integer programming | network optimization | network optimization | decision analysis | decision analysis | decision theoretic planning | decision theoretic planning | Markov decision process | Markov decision process | scheme | scheme | propositional logic | propositional logic | constraints | constraints | Markov processes | Markov processes | computational performance | computational performance | satisfaction | satisfaction | learning algorithms | learning algorithms | system state | system state | state | state | search treees | search treees | plan spaces | plan spaces | model theory | model theory | decision trees | decision trees | function approximators | function approximators | optimization algorithms | optimization algorithms | limitations | limitations | tradeoffs | tradeoffs | search and reasoning | search and reasoning | game tree search | game tree search | local stochastic search | local stochastic search | stochastic | stochastic | genetic algorithms | genetic algorithms | constraint satisfaction | constraint satisfaction | propositional inference | propositional inference | rule-based systems | rule-based systems | rule-based | rule-based | model-based diagnosis | model-based diagnosis | neural nets | neural nets | reinforcement learning | reinforcement learning | web-based | web-based | search trees | search treesLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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See all metadataHST.720 Physiology of the Ear (MIT) HST.720 Physiology of the Ear (MIT)

Description

Topics for this course are based primarily on reading and discussions of original research literature that cover the analysis as well as the underlying physical and physiological mechanisms of acoustic signals in the auditory periphery. Topics include the acoustics, mechanics, and hydrodynamics of sound transmission; the biophysical basis for cochlear amplification; the physiology of hair-cell transduction and synaptic transmission; efferent feedback control; the analysis and coding of simple and complex sounds by the inner ear; and the physiological bases for hearing disorders. Topics for this course are based primarily on reading and discussions of original research literature that cover the analysis as well as the underlying physical and physiological mechanisms of acoustic signals in the auditory periphery. Topics include the acoustics, mechanics, and hydrodynamics of sound transmission; the biophysical basis for cochlear amplification; the physiology of hair-cell transduction and synaptic transmission; efferent feedback control; the analysis and coding of simple and complex sounds by the inner ear; and the physiological bases for hearing disorders.Subjects

cochlear physiology | cochlear physiology | cochlea | cochlea | ear | ear | ear canal | ear canal | inner ear | inner ear | middle ear | middle ear | outer ear | outer ear | auditory pathway | auditory pathway | auditory nerve | auditory nerve | auditory brainstem | auditory brainstem | acoustic coupling | acoustic coupling | auditory periphery | auditory periphery | acoustic signals | acoustic signals | sound transmission | sound transmission | cochlear amplification | cochlear amplification | synaptic transmission | synaptic transmission | hair cell transduction | hair cell transduction | efferent feedback control | efferent feedback control | hearing disorders | hearing disorders | hearing | hearing | cochlear mechanics | cochlear mechanics | basilar membrane | basilar membrane | auditory nerve fiber response | auditory nerve fiber response | otoacoustic emissions | otoacoustic emissions | outer hair cell | outer hair cellLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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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 filesSubjects

Unified | Unified | Unified Engineering | Unified Engineering | aerospace | aerospace | CDIO | CDIO | C-D-I-O | C-D-I-O | conceive | conceive | design | design | implement | implement | operate | operate | team | team | team-based | team-based | discipline | discipline | materials | materials | structures | structures | materials and structures | materials and structures | computers | computers | programming | programming | computers and programming | computers and programming | fluids | fluids | fluid mechanics | fluid mechanics | thermodynamics | thermodynamics | propulsion | propulsion | signals | signals | systems | systems | signals and systems | signals and systems | systems problems | systems problems | fundamentals | fundamentals | technical communication | technical communication | graphical communication | graphical communication | communication | communication | reading | reading | research | research | experimentation | experimentation | personal response system | personal response system | prs | prs | active learning | active learning | First law | First law | first law of thermodynamics | first law of thermodynamics | thermo-mechanical | thermo-mechanical | energy | energy | energy conversion | energy conversion | aerospace power systems | aerospace power systems | propulsion systems | propulsion systems | aerospace propulsion systems | aerospace propulsion systems | heat | heat | work | work | thermal efficiency | thermal efficiency | forms of energy | forms of energy | energy exchange | energy exchange | processes | processes | heat engines | heat engines | engines | engines | steady-flow energy equation | steady-flow energy equation | energy flow | energy flow | flows | flows | path-dependence | path-dependence | path-independence | path-independence | reversibility | reversibility | irreversibility | irreversibility | state | state | thermodynamic state | thermodynamic state | performance | performance | ideal cycle | ideal cycle | simple heat engine | simple heat engine | cycles | cycles | thermal pressures | thermal pressures | temperatures | temperatures | linear static networks | linear static networks | loop method | loop method | node method | node method | linear dynamic networks | linear dynamic networks | classical methods | classical methods | state methods | state methods | state concepts | state concepts | dynamic systems | dynamic systems | resistive circuits | resistive circuits | sources | sources | voltages | voltages | currents | currents | Thevinin | Thevinin | Norton | Norton | initial value problems | initial value problems | RLC networks | RLC networks | characteristic values | characteristic values | characteristic vectors | characteristic vectors | transfer function | transfer function | ada | ada | ada programming | ada programming | programming language | programming language | software systems | software systems | programming style | programming style | computer architecture | computer architecture | program language evolution | program language evolution | classification | classification | numerical computation | numerical computation | number representation systems | number representation systems | assembly | assembly | SimpleSIM | SimpleSIM | RISC | RISC | CISC | CISC | operating systems | operating systems | single user | single user | multitasking | multitasking | multiprocessing | multiprocessing | domain-specific classification | domain-specific classification | recursive | recursive | execution time | execution time | fluid dynamics | fluid dynamics | physical properties of a fluid | physical properties of a fluid | fluid flow | fluid flow | mach | mach | reynolds | reynolds | conservation | conservation | conservation principles | conservation principles | conservation of mass | conservation of mass | conservation of momentum | conservation of momentum | conservation of energy | conservation of energy | continuity | continuity | inviscid | inviscid | steady flow | steady flow | simple bodies | simple bodies | airfoils | airfoils | wings | wings | channels | channels | aerodynamics | aerodynamics | forces | forces | moments | moments | equilibrium | equilibrium | freebody diagram | freebody diagram | free-body | free-body | free body | free body | planar force systems | planar force systems | equipollent systems | equipollent systems | equipollence | equipollence | support reactions | support reactions | reactions | reactions | static determinance | static determinance | determinate systems | determinate systems | truss analysis | truss analysis | trusses | trusses | method of joints | method of joints | method of sections | method of sections | statically indeterminate | statically indeterminate | three great principles | three great principles | 3 great principles | 3 great principles | indicial notation | indicial notation | rotation of coordinates | rotation of coordinates | coordinate rotation | coordinate rotation | stress | stress | extensional stress | extensional stress | shear stress | shear stress | notation | notation | plane stress | plane stress | stress equilbrium | stress equilbrium | stress transformation | stress transformation | mohr | mohr | mohr's circle | mohr's circle | principal stress | principal stress | principal stresses | principal stresses | extreme shear stress | extreme shear stress | strain | strain | extensional strain | extensional strain | shear strain | shear strain | strain-displacement | strain-displacement | compatibility | compatibility | strain transformation | strain transformation | transformation of strain | transformation of strain | mohr's circle for strain | mohr's circle for strain | principal strain | principal strain | extreme shear strain | extreme shear strain | uniaxial stress-strain | uniaxial stress-strain | material properties | material properties | classes of materials | classes of materials | bulk material properties | bulk material properties | origin of elastic properties | origin of elastic properties | structures of materials | structures of materials | atomic bonding | atomic bonding | packing of atoms | packing of atoms | atomic packing | atomic packing | crystals | crystals | crystal structures | crystal structures | polymers | polymers | estimate of moduli | estimate of moduli | moduli | moduli | composites | composites | composite materials | composite materials | modulus limited design | modulus limited design | material selection | material selection | materials selection | materials selection | measurement of elastic properties | measurement of elastic properties | stress-strain | stress-strain | stress-strain relations | stress-strain relations | anisotropy | anisotropy | orthotropy | orthotropy | measurements | measurements | engineering notation | engineering notation | Hooke | Hooke | Hooke's law | Hooke's law | general hooke's law | general hooke's law | equations of elasticity | equations of elasticity | boundary conditions | boundary conditions | multi-disciplinary | multi-disciplinary | models | models | engineering systems | engineering systems | experiments | experiments | investigations | investigations | experimental error | experimental error | design evaluation | design evaluation | evaluation | evaluation | trade studies | trade studies | effects of engineering | effects of engineering | social context | social context | engineering drawings | engineering drawings | 16.01 | 16.01 | 16.02 | 16.02 | 16.03 | 16.03 | 16.04 | 16.04License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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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.Subjects

Unified | Unified | Unified Engineering | Unified Engineering | aerospace | aerospace | CDIO | CDIO | C-D-I-O | C-D-I-O | conceive | conceive | design | design | implement | implement | operate | operate | team | team | team-based | team-based | discipline | discipline | materials | materials | structures | structures | materials and structures | materials and structures | computers | computers | programming | programming | computers and programming | computers and programming | fluids | fluids | fluid mechanics | fluid mechanics | thermodynamics | thermodynamics | propulsion | propulsion | signals | signals | systems | systems | signals and systems | signals and systems | systems problems | systems problems | fundamentals | fundamentals | technical communication | technical communication | graphical communication | graphical communication | communication | communication | reading | reading | research | research | experimentation | experimentation | personal response system | personal response system | prs | prs | active learning | active learning | First law | First law | first law of thermodynamics | first law of thermodynamics | thermo-mechanical | thermo-mechanical | energy | energy | energy conversion | energy conversion | aerospace power systems | aerospace power systems | propulsion systems | propulsion systems | aerospace propulsion systems | aerospace propulsion systems | heat | heat | work | work | thermal efficiency | thermal efficiency | forms of energy | forms of energy | energy exchange | energy exchange | processes | processes | heat engines | heat engines | engines | engines | steady-flow energy equation | steady-flow energy equation | energy flow | energy flow | flows | flows | path-dependence | path-dependence | path-independence | path-independence | reversibility | reversibility | irreversibility | irreversibility | state | state | thermodynamic state | thermodynamic state | performance | performance | ideal cycle | ideal cycle | simple heat engine | simple heat engine | cycles | cycles | thermal pressures | thermal pressures | temperatures | temperatures | linear static networks | linear static networks | loop method | loop method | node method | node method | linear dynamic networks | linear dynamic networks | classical methods | classical methods | state methods | state methods | state concepts | state concepts | dynamic systems | dynamic systems | resistive circuits | resistive circuits | sources | sources | voltages | voltages | currents | currents | Thevinin | Thevinin | Norton | Norton | initial value problems | initial value problems | RLC networks | RLC networks | characteristic values | characteristic values | characteristic vectors | characteristic vectors | transfer function | transfer function | ada | ada | ada programming | ada programming | programming language | programming language | software systems | software systems | programming style | programming style | computer architecture | computer architecture | program language evolution | program language evolution | classification | classification | numerical computation | numerical computation | number representation systems | number representation systems | assembly | assembly | SimpleSIM | SimpleSIM | RISC | RISC | CISC | CISC | operating systems | operating systems | single user | single user | multitasking | multitasking | multiprocessing | multiprocessing | domain-specific classification | domain-specific classification | recursive | recursive | execution time | execution time | fluid dynamics | fluid dynamics | physical properties of a fluid | physical properties of a fluid | fluid flow | fluid flow | mach | mach | reynolds | reynolds | conservation | conservation | conservation principles | conservation principles | conservation of mass | conservation of mass | conservation of momentum | conservation of momentum | conservation of energy | conservation of energy | continuity | continuity | inviscid | inviscid | steady flow | steady flow | simple bodies | simple bodies | airfoils | airfoils | wings | wings | channels | channels | aerodynamics | aerodynamics | forces | forces | moments | moments | equilibrium | equilibrium | freebody diagram | freebody diagram | free-body | free-body | free body | free body | planar force systems | planar force systems | equipollent systems | equipollent systems | equipollence | equipollence | support reactions | support reactions | reactions | reactions | static determinance | static determinance | determinate systems | determinate systems | truss analysis | truss analysis | trusses | trusses | method of joints | method of joints | method of sections | method of sections | statically indeterminate | statically indeterminate | three great principles | three great principles | 3 great principles | 3 great principles | indicial notation | indicial notation | rotation of coordinates | rotation of coordinates | coordinate rotation | coordinate rotation | stress | stress | extensional stress | extensional stress | shear stress | shear stress | notation | notation | plane stress | plane stress | stress equilbrium | stress equilbrium | stress transformation | stress transformation | mohr | mohr | mohr's circle | mohr's circle | principal stress | principal stress | principal stresses | principal stresses | extreme shear stress | extreme shear stress | strain | strain | extensional strain | extensional strain | shear strain | shear strain | strain-displacement | strain-displacement | compatibility | compatibility | strain transformation | strain transformation | transformation of strain | transformation of strain | mohr's circle for strain | mohr's circle for strain | principal strain | principal strain | extreme shear strain | extreme shear strain | uniaxial stress-strain | uniaxial stress-strain | material properties | material properties | classes of materials | classes of materials | bulk material properties | bulk material properties | origin of elastic properties | origin of elastic properties | structures of materials | structures of materials | atomic bonding | atomic bonding | packing of atoms | packing of atoms | atomic packing | atomic packing | crystals | crystals | crystal structures | crystal structures | polymers | polymers | estimate of moduli | estimate of moduli | moduli | moduli | composites | composites | composite materials | composite materials | modulus limited design | modulus limited design | material selection | material selection | materials selection | materials selection | measurement of elastic properties | measurement of elastic properties | stress-strain | stress-strain | stress-strain relations | stress-strain relations | anisotropy | anisotropy | orthotropy | orthotropy | measurements | measurements | engineering notation | engineering notation | Hooke | Hooke | Hooke's law | Hooke's law | general hooke's law | general hooke's law | equations of elasticity | equations of elasticity | boundary conditions | boundary conditions | multi-disciplinary | multi-disciplinary | models | models | engineering systems | engineering systems | experiments | experiments | investigations | investigations | experimental error | experimental error | design evaluation | design evaluation | evaluation | evaluation | trade studies | trade studies | effects of engineering | effects of engineering | social context | social context | engineering drawings | engineering drawingsLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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This course develops skills in research design for policy analysis and planning. The emphasis is on the logic of the research process and its constituent elements. The course relies on a seminar format so students are expected to read all of the assigned materials and come to class prepared to discuss key themes, ideas, and controversies. Since the materials draw broadly on the social sciences, and since students have diverse interests and methodological preferences, ongoing themes in our discussions will be linking concepts to planning scholarship in general and considering how different epistemological orientations and methodological techniques map on to planning specializations. This course develops skills in research design for policy analysis and planning. The emphasis is on the logic of the research process and its constituent elements. The course relies on a seminar format so students are expected to read all of the assigned materials and come to class prepared to discuss key themes, ideas, and controversies. Since the materials draw broadly on the social sciences, and since students have diverse interests and methodological preferences, ongoing themes in our discussions will be linking concepts to planning scholarship in general and considering how different epistemological orientations and methodological techniques map on to planning specializations.Subjects

policy and planning research | policy and planning research | theories | theories | research questions | research questions | research proposals | research proposals | research design | research design | experimental designs | experimental designs | research ethics | research ethics | sampling | sampling | surveys | surveys | questionnaires | questionnaires | interviewing | interviewing | case studies | case studies | field research | field research | participatory research | participatory research | action research | action research | unobtrusive measures | unobtrusive measuresLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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This course integrates studies of engineering sciences, reactor physics and safety assessment into nuclear power plant design. Topics include materials issues in plant design and operations, aspects of thermal design, fuel depletion and fission-product poisoning, and temperature effects on reactivity, safety considerations in regulations and operations, such as the evolution of the regulatory process, the concept of defense in depth, General Design Criteria, accident analysis, probabilistic risk assessment, and risk-informed regulations. This course integrates studies of engineering sciences, reactor physics and safety assessment into nuclear power plant design. Topics include materials issues in plant design and operations, aspects of thermal design, fuel depletion and fission-product poisoning, and temperature effects on reactivity, safety considerations in regulations and operations, such as the evolution of the regulatory process, the concept of defense in depth, General Design Criteria, accident analysis, probabilistic risk assessment, and risk-informed regulations.Subjects

nuclear reactor | nuclear reactor | nuclear power | nuclear power | NRC | NRC | PWR | PWR | pressurized water reactor | pressurized water reactor | GFR | GFR | LWR | LWR | light water reactor | light water reactor | nuclear safety | nuclear safety | meltdown | meltdown | nuclear risk | nuclear risk | PRA | PRA | probabalistic risk assessment | probabalistic risk assessment | risk assessment | risk assessment | thermal | thermal | hydraulic | hydraulic | nuclear fuel | nuclear fuel | nuclear waste | nuclear waste | accident | accident | radiation radioactivity | radiation radioactivity | nuclear plant | nuclear plant | cooling Seabrook | cooling Seabrook | fission | fission | uranium | uranium | half-life | half-life | plutonium | plutonium | economics of nuclear power | economics of nuclear power | materials slection | materials slection | IRIS | IRIS | materials selection | materials selectionLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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See all metadata22.101 Applied Nuclear Physics (MIT) 22.101 Applied Nuclear Physics (MIT)

Description

The topics covered under this course include elements of nuclear physics for engineering students, basic properties of the nucleus and nuclear radiations, quantum mechanical calculations of deuteron bound-state wave function and energy, n-p scattering cross-section, transition probability per unit time and barrier transmission probability. Also explored are binding energy and nuclear stability, interactions of charged particles, neutrons, and gamma rays with matter, radioactive decays, energetics and general cross-section behavior in nuclear reactions. The topics covered under this course include elements of nuclear physics for engineering students, basic properties of the nucleus and nuclear radiations, quantum mechanical calculations of deuteron bound-state wave function and energy, n-p scattering cross-section, transition probability per unit time and barrier transmission probability. Also explored are binding energy and nuclear stability, interactions of charged particles, neutrons, and gamma rays with matter, radioactive decays, energetics and general cross-section behavior in nuclear reactions.Subjects

Nuclear physics | Nuclear physics | Nuclear reaction | Nuclear reaction | Nucleus | Nucleus | Nuclear radiation | Nuclear radiation | Quantum mechanics | Quantum mechanics | Deuteron bound-state wave function and energy | Deuteron bound-state wave function and energy | n-p scattering cross-section | n-p scattering cross-section | Transition probability per unit time | Transition probability per unit time | Barrier transmission probability | Barrier transmission probability | Binding energy | Binding energy | Nuclear stability | Nuclear stability | Interactions of charged particles neutrons and gamma rays with matter | Interactions of charged particles neutrons and gamma rays with matter | Radioactive decay | Radioactive decay | Energetics | Energetics | nuclear physics | nuclear physics | nuclear reaction | nuclear reaction | nucleus | nucleus | nuclear radiation | nuclear radiation | quantum mechanics | quantum mechanics | deuteron bound-state wave function and energy | deuteron bound-state wave function and energy | transition probability per unit time | transition probability per unit time | barrier transmission probability | barrier transmission probability | nuclear stability | nuclear stability | Interactions of charged particles | Interactions of charged particles | neutrons | neutrons | and gamma rays with matter | and gamma rays with matter | energetics | energeticsLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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This course provides an introduction to the politics and theories surrounding the proliferation of nuclear weapons. It introduces the basics of nuclear weapons, nuclear strategy, and deterrence theory. It also examines the historical record during the Cold War as well as the proliferation of nuclear weapons to regional powers and the resulting deterrence consequences. This course provides an introduction to the politics and theories surrounding the proliferation of nuclear weapons. It introduces the basics of nuclear weapons, nuclear strategy, and deterrence theory. It also examines the historical record during the Cold War as well as the proliferation of nuclear weapons to regional powers and the resulting deterrence consequences.Subjects

nuclear proliferation | nuclear proliferation | strategy | strategy | statecraft | statecraft | world politics | world politics | global community | global community | nuclear weapons | nuclear weapons | foreign policy | foreign policy | international relations | international relations | rogue states | rogue states | non-state | non-state | deterrence | deterrence | containment | containment | atomic age | atomic age | bomb scare | bomb scare | Second World War | Second World War | Manhattan Project | Manhattan Project | Hiroshima | Hiroshima | nuclear power | nuclear power | nuclear age | nuclear age | nonproliferation | nonproliferation | early Cold War | early Cold War | the Berlin Crisis | the Berlin Crisis | the Cuban Missile Crisis | the Cuban Missile Crisis | Detente | Detente | nuclear arms control | nuclear arms control | nuclear balance | nuclear balance | Euromissile Crisis | Euromissile Crisis | Nuclear Suppliers Group | Nuclear Suppliers Group | parity | parity | Dr. Strangelove | Dr. Strangelove | terrorism | terrorism | global zero | global zero | U.S. policy | U.S. policy | national security | national security | nucelar dynamics | nucelar dynamicsLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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This course concentrates on the basic concepts of nuclear physics with emphasis on nuclear structure and radiation interactions with matter. Included: elementary quantum theory; nuclear forces; shell structure of the nucleus; alpha, beta, and gamma radioactive decays; interactions of nuclear radiations (charged particles, gammas, and neutrons) with matter; nuclear reactions; and fission and fusion. The course is divided into three main sections: Quantum Mechanics Fundamentals Nuclear Structure and Nuclear Decays Interactions in Nuclear Matter and Nuclear Reactions This course concentrates on the basic concepts of nuclear physics with emphasis on nuclear structure and radiation interactions with matter. Included: elementary quantum theory; nuclear forces; shell structure of the nucleus; alpha, beta, and gamma radioactive decays; interactions of nuclear radiations (charged particles, gammas, and neutrons) with matter; nuclear reactions; and fission and fusion. The course is divided into three main sections: Quantum Mechanics Fundamentals Nuclear Structure and Nuclear Decays Interactions in Nuclear Matter and Nuclear ReactionsSubjects

Quantum Mechanics Fundamentals | | Quantum Mechanics Fundamentals | | Nuclear Structure | | Nuclear Structure | | Nuclear Decays | | Nuclear Decays | | Nuclear Matter | | Nuclear Matter | | Nuclear Reactions | Nuclear Reactions | Nuclear Decays | Nuclear Decays | Quantum Mechanics Fundamentals | Quantum Mechanics Fundamentals | Nuclear Structure | Nuclear Structure | Nuclear Matter | Nuclear MatterLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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This course integrates studies of engineering sciences, reactor physics and safety assessment into nuclear power plant design. Topics include materials issues in plant design and operations, aspects of thermal design, fuel depletion and fission-product poisoning, and temperature effects on reactivity, safety considerations in regulations and operations, such as the evolution of the regulatory process, the concept of defense in depth, General Design Criteria, accident analysis, probabilistic risk assessment, and risk-informed regulations.Technical RequirementsSpecial software is required to use some of the files in this course: .exe and .zip. The .in files are input data files. This course integrates studies of engineering sciences, reactor physics and safety assessment into nuclear power plant design. Topics include materials issues in plant design and operations, aspects of thermal design, fuel depletion and fission-product poisoning, and temperature effects on reactivity, safety considerations in regulations and operations, such as the evolution of the regulatory process, the concept of defense in depth, General Design Criteria, accident analysis, probabilistic risk assessment, and risk-informed regulations.Technical RequirementsSpecial software is required to use some of the files in this course: .exe and .zip. The .in files are input data files.Subjects

nuclear reactor | nuclear reactor | nuclear power | nuclear power | NRC | NRC | PWR | PWR | pressurized water reactor | pressurized water reactor | GFR | GFR | nuclear safety | nuclear safety | meltdown | meltdown | nuclear risk | nuclear risk | PRA | PRA | probabalistic risk assessment | probabalistic risk assessment | risk assessment | risk assessment | thermal | thermal | hydraulic | hydraulic | nuclear fuel | nuclear fuel | nuclear waste | nuclear waste | accident | accident | radiation | radiation | radioactivity | radioactivity | nuclear plant | nuclear plant | cooling | cooling | seabrook | seabrook | fission | fission | uranium | uranium | half-life | half-life | plutonium | plutoniumLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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See all metadata9.04 Neural Basis of Vision and Audtion (MIT) 9.04 Neural Basis of Vision and Audtion (MIT)

Description

This course is designed to ground the undergraduate student in the fields of vision and audition, which includes both speech and hearing. The neural bases of visual and auditory processing for perception and sensorimotor control is examined. Topics focus on physiological and anatomical studies of the mammalian nervous system as well as behavioral studies of animals and humans. Studies in visual pattern, color and depth perception, auditory responses and speech coding, and spatial localization are also covered. This course is designed to ground the undergraduate student in the fields of vision and audition, which includes both speech and hearing. The neural bases of visual and auditory processing for perception and sensorimotor control is examined. Topics focus on physiological and anatomical studies of the mammalian nervous system as well as behavioral studies of animals and humans. Studies in visual pattern, color and depth perception, auditory responses and speech coding, and spatial localization are also covered.Subjects

visual system | visual system | eye-movement control | eye-movement control | retina | retina | lateral geniculate nucleus | lateral geniculate nucleus | visual cortex | visual cortex | the parallel channels | the parallel channels | color | color | motion | motion | depth | depth | form | form | neural control | neural control | visually guided eye movements | visually guided eye movements | middle ear | middle ear | cochlear | cochlear | otoacoustic emissions | otoacoustic emissions | cochlear ultrastructure and neuroanatomy | cochlear ultrastructure and neuroanatomy | cochlear ion homeostasis and synaptic transmission | cochlear ion homeostasis and synaptic transmission | noise-induced and age-related hearing loss | noise-induced and age-related hearing loss | neural degeneration | neural degeneration | neurophysiological | neurophysiological | ascending | ascending | descending | descending | auditory pathways auditory nerve | auditory pathways auditory nerve | cochlear nucleus | cochlear nucleus | inferior colliculus | inferior colliculus | olivocochlear system | olivocochlear system | functional brain imaging | functional brain imaging | tinnitus | tinnitusLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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See all metadata9.04 Neural Basis of Vision and Audition (MIT) 9.04 Neural Basis of Vision and Audition (MIT)

Description

Examines the neural bases of visual and auditory processing for perception and sensorimotor control. Focuses on physiological and anatomical studies of the mammalian nervous system as well as behavioral studies of animals and humans. Studies visual pattern, color and depth perception, auditory responses and speech coding, and spatial localization. Offered alternate years. Examines the neural bases of visual and auditory processing for perception and sensorimotor control. Focuses on physiological and anatomical studies of the mammalian nervous system as well as behavioral studies of animals and humans. Studies visual pattern, color and depth perception, auditory responses and speech coding, and spatial localization. Offered alternate years.Subjects

visual system | visual system | eye-movement control | eye-movement control | retina | retina | lateral geniculate nucleus | lateral geniculate nucleus | visual cortex | visual cortex | the parallel channels | the parallel channels | color | color | motion | motion | depth | depth | form | form | neural control | neural control | visually guided eye movements | visually guided eye movements | middle ear | middle ear | cochlear | cochlear | otoacoustic emissions | otoacoustic emissions | cochlear ultrastructure and neuroanatomy | cochlear ultrastructure and neuroanatomy | cochlear ion homeostasis and synaptic transmission | cochlear ion homeostasis and synaptic transmission | noise-induced and age-related hearing loss | noise-induced and age-related hearing loss | neural degeneration | neural degeneration | neurophysiological | neurophysiological | ascending | ascending | descending | descending | auditory pathways auditory nerve | auditory pathways auditory nerve | cochlear nucleus | cochlear nucleus | inferior colliculus | inferior colliculus | olivocochlear system | olivocochlear system | functional brain imaging | functional brain imaging | tinnitus | tinnitusLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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See all metadata6.832 Underactuated Robotics (MIT) 6.832 Underactuated Robotics (MIT)

Description

Includes audio/video content: AV lectures. Robots today move far too conservatively, using control systems that attempt to maintain full control authority at all times. Humans and animals move much more aggressively by routinely executing motions which involve a loss of instantaneous control authority. Controlling nonlinear systems without complete control authority requires methods that can reason about and exploit the natural dynamics of our machines. This course discusses nonlinear dynamics and control of underactuated mechanical systems, with an emphasis on machine learning methods. Topics include nonlinear dynamics of passive robots (walkers, swimmers, flyers), motion planning, partial feedback linearization, energy-shaping control, analytical optimal control, reinforcement learning/a Includes audio/video content: AV lectures. Robots today move far too conservatively, using control systems that attempt to maintain full control authority at all times. Humans and animals move much more aggressively by routinely executing motions which involve a loss of instantaneous control authority. Controlling nonlinear systems without complete control authority requires methods that can reason about and exploit the natural dynamics of our machines. This course discusses nonlinear dynamics and control of underactuated mechanical systems, with an emphasis on machine learning methods. Topics include nonlinear dynamics of passive robots (walkers, swimmers, flyers), motion planning, partial feedback linearization, energy-shaping control, analytical optimal control, reinforcement learning/aSubjects

underactuated robotics | underactuated robotics | actuated systems | actuated systems | nonlinear dynamics | nonlinear dynamics | simple pendulum | simple pendulum | optimal control | optimal control | double integrator | double integrator | quadratic regulator | quadratic regulator | Hamilton-Jacobi-Bellman sufficiency | Hamilton-Jacobi-Bellman sufficiency | minimum time control | minimum time control | acrobot | acrobot | cart-pole | cart-pole | partial feedback linearization | partial feedback linearization | energy shaping | energy shaping | policy search | policy search | open-loop optimal control | open-loop optimal control | trajectory stabilization | trajectory stabilization | iterative linear quadratic regulator | iterative linear quadratic regulator | differential dynamic programming | differential dynamic programming | walking models | walking models | rimless wheel | rimless wheel | compass gait | compass gait | kneed compass gait | kneed compass gait | feedback control | feedback control | running models | running models | spring-loaded inverted pendulum | spring-loaded inverted pendulum | Raibert hoppers | Raibert hoppers | motion planning | motion planning | randomized motion planning | randomized motion planning | rapidly-exploring randomized trees | rapidly-exploring randomized trees | probabilistic road maps | probabilistic road maps | feedback motion planning | feedback motion planning | planning with funnels | planning with funnels | linear quadratic regulator | linear quadratic regulator | function approximation | function approximation | state distribution dynamics | state distribution dynamics | state estimation | state estimation | stochastic optimal control | stochastic optimal control | aircraft | aircraft | swimming | swimming | flapping flight | flapping flight | randomized policy gradient | randomized policy gradient | model-free value methods | model-free value methods | temporarl difference learning | temporarl difference learning | Q-learning | Q-learning | actor-critic methods | actor-critic methodsLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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See all metadata2.034J Nonlinear Dynamics and Waves (MIT) 2.034J Nonlinear Dynamics and Waves (MIT)

Description

This graduate-level course provides a unified treatment of nonlinear oscillations and wave phenomena with applications to mechanical, optical, geophysical, fluid, electrical and flow-structure interaction problems. This graduate-level course provides a unified treatment of nonlinear oscillations and wave phenomena with applications to mechanical, optical, geophysical, fluid, electrical and flow-structure interaction problems.Subjects

nonlinear oscillations | nonlinear oscillations | wave phenomena | wave phenomena | flow-structure interaction problems | flow-structure interaction problems | nonlinear free and forced vibrations | nonlinear free and forced vibrations | nonlinear resonances | nonlinear resonances | self-excited oscillations | self-excited oscillations | lock-in phenomena | lock-in phenomena | nonlinear dispersive and nondispersive waves | nonlinear dispersive and nondispersive waves | resonant wave interactions | resonant wave interactions | propagation of wave pulses | propagation of wave pulses | nonlinear Schrodinger equation | nonlinear Schrodinger equation | nonlinear long waves and breaking | nonlinear long waves and breaking | theory of characteristics | theory of characteristics | the Korteweg-de Vries equation | the Korteweg-de Vries equation | solitons and solitary wave interactions | solitons and solitary wave interactions | stability of shear flows | stability of shear flowsLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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See all metadataMAS.622J Pattern Recognition and Analysis (MIT) MAS.622J Pattern Recognition and Analysis (MIT)

Description

This class deals with the fundamentals of characterizing and recognizing patterns and features of interest in numerical data. We discuss the basic tools and theory for signal understanding problems with applications to user modeling, affect recognition, speech recognition and understanding, computer vision, physiological analysis, and more. We also cover decision theory, statistical classification, maximum likelihood and Bayesian estimation, nonparametric methods, unsupervised learning and clustering. Additional topics on machine and human learning from active research are also talked about in the class. This class deals with the fundamentals of characterizing and recognizing patterns and features of interest in numerical data. We discuss the basic tools and theory for signal understanding problems with applications to user modeling, affect recognition, speech recognition and understanding, computer vision, physiological analysis, and more. We also cover decision theory, statistical classification, maximum likelihood and Bayesian estimation, nonparametric methods, unsupervised learning and clustering. Additional topics on machine and human learning from active research are also talked about in the class.Subjects

MAS.622 | MAS.622 | 1.126 | 1.126 | pattern recognition | pattern recognition | feature detection | feature detection | classification | classification | probability theory | probability theory | pattern analysis | pattern analysis | conditional probability | conditional probability | bayes rule | bayes rule | random vectors | decision theory | random vectors | decision theory | ROC curves | ROC curves | likelihood ratio test | likelihood ratio test | fisher discriminant | fisher discriminant | template-based recognition | template-based recognition | feature extraction | feature extraction | eigenvector and multilinear analysis | eigenvector and multilinear analysis | linear discriminant | linear discriminant | perceptron learning | perceptron learning | optimization by gradient descent | optimization by gradient descent | support vecotr machines | support vecotr machines | K-nearest-neighbor classification | K-nearest-neighbor classification | parzen estimation | parzen estimation | unsupervised learning | unsupervised learning | clustering | clustering | vector quantization | vector quantization | K-means | K-means | Expectation-Maximization | Expectation-Maximization | Hidden markov models | Hidden markov models | viterbi algorithm | viterbi algorithm | Baum-Welch algorithm | Baum-Welch algorithm | linear dynamical systems | linear dynamical systems | Kalman filtering | Kalman filtering | Bayesian networks | Bayesian networks | decision trees | decision trees | reinforcement learning | reinforcement learning | genetic algorithms | genetic algorithmsLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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Subjects

libraryofcongress | libraryofcongress | aviators | aviators | aviator | aviator | ormerleslielocklocklear | ormerleslielocklocklear | ormerleslielocklear | ormerleslielocklear | ormerllocklear | ormerllocklear | ormerlocklear | ormerlocklear | ollocklear | ollocklear | locklocklear | locklocklear | locklear | locklear | shirleyjshort | shirleyjshort | shirleyshort | shirleyshort | sjshort | sjshort | short | short | miltonskeetselliott | miltonskeetselliott | miltonelliott | miltonelliott | skeetselliott | skeetselliott | elliott | elliott | aviation | aviation | aircraft | aircraft | airplane | airplane | biplane | biplane | curtissaeroplanecompany | curtissaeroplanecompany | curtiss | curtiss | curtissjnjenny | curtissjnjenny | curtissjn | curtissjn | curtissjenny | curtissjenny | jn | jn | curtissjn4jenny | curtissjn4jenny | curtissjn4 | curtissjn4 | jn4jenny | jn4jenny | jn4 | jn4 | jenny | jenny | curtissox5 | curtissox5 | ox5 | ox5License

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Subjects

libraryofcongress | libraryofcongress | aviators | aviators | aviator | aviator | ormerleslielocklocklear | ormerleslielocklocklear | ormerleslielocklear | ormerleslielocklear | ormerllocklear | ormerllocklear | ormerlocklear | ormerlocklear | ollocklear | ollocklear | locklocklear | locklocklear | locklear | locklear | shirleyjshort | shirleyjshort | shirleyshort | shirleyshort | sjshort | sjshort | short | short | miltonskeetselliott | miltonskeetselliott | miltonelliott | miltonelliott | skeetselliott | skeetselliott | elliott | elliott | aviation | aviation | aircraft | aircraft | airplane | airplane | biplane | biplane | curtissaeroplanecompany | curtissaeroplanecompany | curtiss | curtiss | curtissjnjenny | curtissjnjenny | curtissjn | curtissjn | curtissjenny | curtissjenny | jn | jn | curtissjn4jenny | curtissjn4jenny | curtissjn4 | curtissjn4 | jn4jenny | jn4jenny | jn4 | jn4 | jenny | jenny | curtissox5 | curtissox5 | ox5 | ox5License

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See all metadataLt. O. Locklear (LOC) Lt. O. Locklear (LOC)

Description

Subjects

libraryofcongress | libraryofcongress | aviator | aviator | ormerleslielocklocklear | ormerleslielocklocklear | ormerleslielocklear | ormerleslielocklear | ormerllocklear | ormerllocklear | ormerlocklear | ormerlocklear | ollocklear | ollocklear | locklocklear | locklocklear | locklear | locklear | aviation | aviation | aircraft | aircraft | airplane | airplane | biplane | biplane | curtissaeroplanecompany | curtissaeroplanecompany | curtiss | curtiss | curtissjnjenny | curtissjnjenny | curtissjn | curtissjn | curtissjenny | curtissjenny | jn | jn | curtissjn4jenny | curtissjn4jenny | curtissjn4 | curtissjn4 | jn4jenny | jn4jenny | jn4 | jn4 | jenny | jenny | curtissox5 | curtissox5 | ox5 | ox5License

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Description

Subjects

libraryofcongress | libraryofcongress | aviator | aviator | ormerleslielocklocklear | ormerleslielocklocklear | ormerleslielocklear | ormerleslielocklear | ormerllocklear | ormerllocklear | ormerlocklear | ormerlocklear | ollocklear | ollocklear | locklocklear | locklocklear | locklear | locklear | aviation | aviation | aircraft | aircraft | airplane | airplane | biplane | biplane | curtissaeroplanecompany | curtissaeroplanecompany | curtiss | curtiss | curtissjnjenny | curtissjnjenny | curtissjn | curtissjn | curtissjenny | curtissjenny | jn | jn | curtissjn4jenny | curtissjn4jenny | curtissjn4 | curtissjn4 | jn4jenny | jn4jenny | jn4 | jn4 | jenny | jenny | curtissox5 | curtissox5 | ox5 | ox5License

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Description

Subjects

libraryofcongress | libraryofcongress | aviator | aviator | ormerleslielocklocklear | ormerleslielocklocklear | ormerleslielocklear | ormerleslielocklear | ormerllocklear | ormerllocklear | ormerlocklear | ormerlocklear | ollocklear | ollocklear | locklocklear | locklocklear | locklear | locklear | aviation | aviation | aircraft | aircraft | airplane | airplane | biplane | biplane | curtissaeroplanecompany | curtissaeroplanecompany | curtiss | curtiss | curtissjnjenny | curtissjnjenny | curtissjn | curtissjn | curtissjenny | curtissjenny | jn | jn | curtissjn4jenny | curtissjn4jenny | curtissjn4 | curtissjn4 | jn4jenny | jn4jenny | jn4 | jn4 | jenny | jennyLicense

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Description

Subjects

libraryofcongress | libraryofcongress | aviator | aviator | ormerleslielocklocklear | ormerleslielocklocklear | ormerleslielocklear | ormerleslielocklear | ormerllocklear | ormerllocklear | ormerlocklear | ormerlocklear | ollocklear | ollocklear | locklocklear | locklocklear | locklear | locklear | aviation | aviation | aircraft | aircraft | airplane | airplane | biplane | biplane | curtissaeroplanecompany | curtissaeroplanecompany | curtiss | curtiss | curtissjnjenny | curtissjnjenny | curtissjn | curtissjn | curtissjenny | curtissjenny | jn | jn | curtissjn4jenny | curtissjn4jenny | curtissjn4 | curtissjn4 | jn4jenny | jn4jenny | jn4 | jn4 | jenny | jenny | curtissox5 | curtissox5 | ox5 | ox5License

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See all metadata15.099 Readings in Optimization (MIT) 15.099 Readings in Optimization (MIT)

Description

In keeping with the tradition of the last twenty-some years, the Readings in Optimization seminar will focus on an advanced topic of interest to a portion of the MIT optimization community: randomized methods for deterministic optimization. In contrast to conventional optimization algorithms whose iterates are computed and analyzed deterministically, randomized methods rely on stochastic processes and random number/vector generation as part of the algorithm and/or its analysis. In the seminar, we will study some very recent papers on this topic, many by MIT faculty, as well as some older papers from the existing literature that are only now receiving attention. In keeping with the tradition of the last twenty-some years, the Readings in Optimization seminar will focus on an advanced topic of interest to a portion of the MIT optimization community: randomized methods for deterministic optimization. In contrast to conventional optimization algorithms whose iterates are computed and analyzed deterministically, randomized methods rely on stochastic processes and random number/vector generation as part of the algorithm and/or its analysis. In the seminar, we will study some very recent papers on this topic, many by MIT faculty, as well as some older papers from the existing literature that are only now receiving attention.Subjects

deterministic optimization; algorithms; stochastic processes; random number generation; simplex method; nonlinear; convex; complexity analysis; semidefinite programming; heuristic; global optimization; Las Vegas algorithm; randomized algorithm; linear programming; search techniques; hit and run; NP-hard; approximation | deterministic optimization; algorithms; stochastic processes; random number generation; simplex method; nonlinear; convex; complexity analysis; semidefinite programming; heuristic; global optimization; Las Vegas algorithm; randomized algorithm; linear programming; search techniques; hit and run; NP-hard; approximation | deterministic optimization | deterministic optimization | algorithms | algorithms | stochastic processes | stochastic processes | random number generation | random number generation | simplex method | simplex method | nonlinear | nonlinear | convex | convex | complexity analysis | complexity analysis | semidefinite programming | semidefinite programming | heuristic | heuristic | global optimization | global optimization | Las Vegas algorithm | Las Vegas algorithm | randomized algorithm | randomized algorithm | linear programming | linear programming | search techniques | search techniques | hit and run | hit and run | NP-hard | NP-hard | approximation | approximationLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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This course explores the theory and practice of scientific modeling in the context of auditory and speech biophysics. Based on seminar-style discussions of the research literature, the class draws on examples from hearing and speech, and explores general, meta-theoretical issues that transcend the particular subject matter. Examples include: What is a model? What is the process of model building? What are the different approaches to modeling? What is the relationship between theory and experiment? How are models tested? What constitutes a good model? This course explores the theory and practice of scientific modeling in the context of auditory and speech biophysics. Based on seminar-style discussions of the research literature, the class draws on examples from hearing and speech, and explores general, meta-theoretical issues that transcend the particular subject matter. Examples include: What is a model? What is the process of model building? What are the different approaches to modeling? What is the relationship between theory and experiment? How are models tested? What constitutes a good model?Subjects

hearing | hearing | speech | speech | modeling biology | modeling biology | network model of the ear | network model of the ear | model building | model building | dimensional analysis and scaling | dimensional analysis and scaling | resampling | resampling | monte carlo | monte carlo | forward vs. inverse | forward vs. inverse | chaos | chaos | limits of prediction | limits of prediction | hodgkin | hodgkin | huxley | huxley | molecular mathematic biology | molecular mathematic biology | cochlear input impedance | cochlear input impedance | auditory network | auditory network | auditory morphology | auditory morphology | electric model of neural cell fiber | electric model of neural cell fiber | electric diagrams of neural cells | electric diagrams of neural cells | linear regression | linear regression | sensitivity analysis | sensitivity analysis | cochlea | cochlea | inner ear | inner ear | middle ear | middle ear | auditory cortex | auditory cortex | scientific literature | scientific literature | analysis | analysis | paper analysis | paper analysis | tent maps | tent maps | quadratic maps | quadratic mapsLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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See all metadataHST.721 The Peripheral Auditory System (MIT) HST.721 The Peripheral Auditory System (MIT)

Description

In this course, experimental approaches to the study of hearing and deafness are presented through lectures, laboratory exercises and discussions of the primary literature on the auditory periphery. Topics include inner-ear development, functional anatomy of the inner ear, cochlear mechanics and micromechanics, mechano-electric transduction by hair cells, outer hair cells' electromotility and the cochlear amplifier, otoacoustic emissions, synaptic transmission, stimulus coding in auditory nerve responses, efferent control of cochlear function, damage and repair of hair-cell organs, and sensorineural hearing loss. In this course, experimental approaches to the study of hearing and deafness are presented through lectures, laboratory exercises and discussions of the primary literature on the auditory periphery. Topics include inner-ear development, functional anatomy of the inner ear, cochlear mechanics and micromechanics, mechano-electric transduction by hair cells, outer hair cells' electromotility and the cochlear amplifier, otoacoustic emissions, synaptic transmission, stimulus coding in auditory nerve responses, efferent control of cochlear function, damage and repair of hair-cell organs, and sensorineural hearing loss.Subjects

peripheral auditory system | peripheral auditory system | hair cells | hair cells | frequency tuning | frequency tuning | cochlear mechanics | cochlear mechanics | mechano-electric transduction | mechano-electric transduction | outer hair cells | outer hair cells | electromotility | electromotility | cochlear amplifier | cochlear amplifier | endocochlear potential | endocochlear potential | inner ear | inner ear | ear | ear | afferent synaptic transmission | afferent synaptic transmission | auditory nerve response | auditory nerve response | auditory pathway | auditory pathway | middle ear | middle earLicense

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