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14.12 Economic Applications of Game Theory (MIT) 14.12 Economic Applications of Game Theory (MIT)

Description

Game Theory is a misnomer for Multiperson Decision Theory, the analysis of situations in which payoffs to agents depend on the behavior of other agents. It involves the analysis of conflict, cooperation, and (tacit) communication. Game theory has applications in several fields, such as economics, politics, law, biology, and computer science. In this course, I will introduce the basic tools of game theoretic analysis. In the process, I will outline some of the many applications of game theory, primarily in economics and political science.Game Theory has emerged as a branch of mathematics and is still quite mathematical. Our emphasis will be on the conceptual analysis, keeping the level of math to a minimum, especially at a level that should be quite acceptable to the average MIT student. Ye Game Theory is a misnomer for Multiperson Decision Theory, the analysis of situations in which payoffs to agents depend on the behavior of other agents. It involves the analysis of conflict, cooperation, and (tacit) communication. Game theory has applications in several fields, such as economics, politics, law, biology, and computer science. In this course, I will introduce the basic tools of game theoretic analysis. In the process, I will outline some of the many applications of game theory, primarily in economics and political science.Game Theory has emerged as a branch of mathematics and is still quite mathematical. Our emphasis will be on the conceptual analysis, keeping the level of math to a minimum, especially at a level that should be quite acceptable to the average MIT student. YeSubjects

game theory | game theory | multiperson decision theory | multiperson decision theory | conflict | conflict | cooperation | cooperation | communication | communicationLicense

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See all metadata6.034 Artificial Intelligence (MIT) 6.034 Artificial Intelligence (MIT)

Description

6.034 introduces representations, techniques, and architectures used to build applied systems and to account for intelligence from a computational point of view. Topics covered include: applications of rule chaining, heuristic search, logic, constraint propagation, constrained search, and other problem-solving paradigms, as well as applications of decision trees, neural nets, SVMs and other learning paradigms. 6.034 introduces representations, techniques, and architectures used to build applied systems and to account for intelligence from a computational point of view. Topics covered include: applications of rule chaining, heuristic search, logic, constraint propagation, constrained search, and other problem-solving paradigms, as well as applications of decision trees, neural nets, SVMs and other learning paradigms.Subjects

artificial intelligence | artificial intelligence | applied systems | applied systems | intelligence | intelligence | rule chaining | rule chaining | heuristic search | heuristic search | logic | logic | constraint propagation | constraint propagation | constrained search | constrained search | decision trees | decision trees | neural nets | neural nets | SVMs | SVMs | problem-solving paradigms | problem-solving paradigmsLicense

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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

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See all metadata5.61 Physical Chemistry (MIT) 5.61 Physical Chemistry (MIT)

Description

This course presents an introduction to quantum mechanics. It begins with an examination of the historical development of quantum theory, properties of particles and waves, wave mechanics and applications to simple systems — the particle in a box, the harmonic oscillator, the rigid rotor and the hydrogen atom. The lectures continue with a discussion of atomic structure and the Periodic Table. The final lectures cover applications to chemical bonding including valence bond and molecular orbital theory, molecular structure, spectroscopy. Acknowledgements The material for 5.61 has evolved over a period of many years, and, accordingly, several faculty members have contributed to the development of the course contents. The original version of the lecture notes that are available on OCW wa This course presents an introduction to quantum mechanics. It begins with an examination of the historical development of quantum theory, properties of particles and waves, wave mechanics and applications to simple systems — the particle in a box, the harmonic oscillator, the rigid rotor and the hydrogen atom. The lectures continue with a discussion of atomic structure and the Periodic Table. The final lectures cover applications to chemical bonding including valence bond and molecular orbital theory, molecular structure, spectroscopy. Acknowledgements The material for 5.61 has evolved over a period of many years, and, accordingly, several faculty members have contributed to the development of the course contents. The original version of the lecture notes that are available on OCW waSubjects

physical chemistry | physical chemistry | quantum mechanics | quantum mechanics | quantum chemistry | quantum chemistry | particles and waves | particles and waves | wave mechanics | wave mechanics | atomic structure | atomic structure | valence orbital | valence orbital | molecular orbital theory | molecular orbital theory | molecular structure | molecular structure | photochemistry | photochemistry | tunneling | tunneling | spherical harmonics | spherical harmonics | rigid rotor | rigid rotor | perturbation theory | perturbation theory | oscillators | oscillators | hartree-fock | hartree-fock | LCAO | LCAOLicense

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See all metadata14.121 Microeconomic Theory I (MIT) 14.121 Microeconomic Theory I (MIT)

Description

This course provides an introduction to microeconomic theory and is the first course in the microeconomic theory series. It is intended for graduate students in the economics program. Some components of the course are designed to teach material that all graduate students should know while others are used to introduce methodologies. Topics of recent interest will also be covered and may include: theories of production and individual choice (under certainty and uncertainty); markets and competition; tools of comparative statics and their application to price theory. This course provides an introduction to microeconomic theory and is the first course in the microeconomic theory series. It is intended for graduate students in the economics program. Some components of the course are designed to teach material that all graduate students should know while others are used to introduce methodologies. Topics of recent interest will also be covered and may include: theories of production and individual choice (under certainty and uncertainty); markets and competition; tools of comparative statics and their application to price theory.Subjects

microeconomic theory | microeconomic theory | theories of production and individual choice (under certainty and uncertainty) | theories of production and individual choice (under certainty and uncertainty) | markets and competition | markets and competition | tools of comparative statics and their application to price theory | tools of comparative statics and their application to price theoryLicense

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This course introduces students to the theory, algorithms, and applications of optimization. The optimization methodologies include linear programming, network optimization, integer programming, and decision trees. Applications to logistics, manufacturing, transportation, marketing, project management, and finance. Includes a team project in which students select and solve a problem in practice. This course introduces students to the theory, algorithms, and applications of optimization. The optimization methodologies include linear programming, network optimization, integer programming, and decision trees. Applications to logistics, manufacturing, transportation, marketing, project management, and finance. Includes a team project in which students select and solve a problem in practice.Subjects

optimization methods | optimization methods | management science | management science | theory | theory | algorithms | algorithms | applications | applications | linear programming | linear programming | network optimization | network optimization | integer programming | integer programming | decision trees | decision trees | logistics | logistics | manufacturing | manufacturing | transportation | transportation | marketing | marketing | project management | project management | finance | financeLicense

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See all metadataTop tips to complete an online application form

Description

Video presentation on top tips to complete an online application form by Martin PerfectSubjects

online applications | applications | writing skills | selling your skills | skills | video | coventry university | dentistry | A000License

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See all metadata2.06 Fluid Dynamics (MIT) 2.06 Fluid Dynamics (MIT)

Description

This class provides students with an introduction to principal concepts and methods of fluid mechanics. Topics covered in the course include pressure, hydrostatics, and buoyancy; open systems and control volume analysis; mass conservation and momentum conservation for moving fluids; viscous fluid flows, flow through pipes; dimensional analysis; boundary layers, and lift and drag on objects. Students will work to formulate the models necessary to study, analyze, and design fluid systems through the application of these concepts, and to develop the problem-solving skills essential to good engineering practice of fluid mechanics in practical applications. This class provides students with an introduction to principal concepts and methods of fluid mechanics. Topics covered in the course include pressure, hydrostatics, and buoyancy; open systems and control volume analysis; mass conservation and momentum conservation for moving fluids; viscous fluid flows, flow through pipes; dimensional analysis; boundary layers, and lift and drag on objects. Students will work to formulate the models necessary to study, analyze, and design fluid systems through the application of these concepts, and to develop the problem-solving skills essential to good engineering practice of fluid mechanics in practical applications.Subjects

fluid | fluid | dynamics | dynamics | mechanics | mechanics | engineering | engineering | flow | flow | aerodynamics | aerodynamics | surface | surface | wave | wave | hydrostatic | hydrostatic | buoyancy | buoyancy | viscous | viscous | viscosity | viscosity | lift | lift | drag | drag | physics | physicsLicense

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See all metadataESD.84 Engineering Systems Doctoral Seminar (MIT) ESD.84 Engineering Systems Doctoral Seminar (MIT)

Description

Examines core theory and contextual applications of the emerging field of Engineering Systems. The focus is on doctoral-level analysis of scholarship on key concepts such as complexity, uncertainty, fragility, and robustness, as well as a critical look at the historical roots of the field and related areas such as systems engineering, systems dynamics, agent modeling, and systems simulations. Contextual applications range from aerospace to technology implementation to regulatory systems to large-scale systems change. Special attention is given to the interdependence of social and technical dimensions of engineering systems. Examines core theory and contextual applications of the emerging field of Engineering Systems. The focus is on doctoral-level analysis of scholarship on key concepts such as complexity, uncertainty, fragility, and robustness, as well as a critical look at the historical roots of the field and related areas such as systems engineering, systems dynamics, agent modeling, and systems simulations. Contextual applications range from aerospace to technology implementation to regulatory systems to large-scale systems change. Special attention is given to the interdependence of social and technical dimensions of engineering systems.Subjects

engineering systems | engineering systems | complexity | complexity | fragility | fragility | robustness | robustness | systems engineering | systems engineering | systems dynamics | systems dynamics | agent modeling | agent modeling | systems simulations | systems simulations | large-scale systems change | large-scale systems change | uncertainty | uncertaintyLicense

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See all metadata15.053 Introduction to Optimization (MIT) 15.053 Introduction to Optimization (MIT)

Description

15.053 is an undergraduate subject in the theory and practice of optimization. We will consider optimization models with applications to transportation, logistics, manufacturing, computer science, E-business, project management, finance as well as several other domains. This subject will survey some of the applications of optimization as well as heuristics, and we will present algorithms and theory for linear programming, dynamic programming, integer programming, and non-linear programming.One way of summarizing a subject is a lecture by lecture description of the subject, or a description of the methodologies presented in the subject. We do list a lecture by lecture description, but first we describe several cross cutting themes. 15.053 is an undergraduate subject in the theory and practice of optimization. We will consider optimization models with applications to transportation, logistics, manufacturing, computer science, E-business, project management, finance as well as several other domains. This subject will survey some of the applications of optimization as well as heuristics, and we will present algorithms and theory for linear programming, dynamic programming, integer programming, and non-linear programming.One way of summarizing a subject is a lecture by lecture description of the subject, or a description of the methodologies presented in the subject. We do list a lecture by lecture description, but first we describe several cross cutting themes.Subjects

finance | finance | project management | project management | E-commerce | E-commerce | heuristics | heuristics | non-linear programming | non-linear programming | integer programming | integer programming | dynamic programming | dynamic programming | network optimization | network optimization | linear programming | linear programmingLicense

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See all metadataMagnetic Materials and Devices (MIT) Magnetic Materials and Devices (MIT)

Description

This course explores the relationships which exist between the performance of electrical, optical, and magnetic devices and the microstructural characteristics of the materials from which they are constructed. It features a device-motivated approach which places strong emphasis on emerging technologies. Device applications of physical phenomena are considered, including electrical conductivity and doping, transistors, photodetectors and photovoltaics, luminescence, light emitting diodes, lasers, optical phenomena, photonics, ferromagnetism, and magnetoresistance. This course explores the relationships which exist between the performance of electrical, optical, and magnetic devices and the microstructural characteristics of the materials from which they are constructed. It features a device-motivated approach which places strong emphasis on emerging technologies. Device applications of physical phenomena are considered, including electrical conductivity and doping, transistors, photodetectors and photovoltaics, luminescence, light emitting diodes, lasers, optical phenomena, photonics, ferromagnetism, and magnetoresistance.Subjects

electrical | optical | and magnetic devices | electrical | optical | and magnetic devices | microstructural characteristics of materials | microstructural characteristics of materials | device-motivated approach | device-motivated approach | emerging technologies | emerging technologies | physical phenomena | physical phenomena | electrical conductivity | electrical conductivity | doping | doping | transistors | transistors | photodectors | photodectors | photovoltaics | photovoltaics | luminescence | luminescence | light emitting diodes | light emitting diodes | lasers | lasers | optical phenomena | optical phenomena | photonics | photonics | ferromagnetism | ferromagnetism | magnetoresistance | magnetoresistance | electrical devices | electrical devices | optical devices | optical devices | magnetic devices | magnetic devices | materials | materials | device applications | device applicationsLicense

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See all metadata18.085 Mathematical Methods for Engineers I (MIT) 18.085 Mathematical Methods for Engineers I (MIT)

Description

Review of linear algebra, applications to networks, structures, and estimation, Lagrange multipliers, differential equations of equilibrium, Laplace's equation and potential flow, boundary-value problems, minimum principles and calculus of variations, Fourier series, discrete Fourier transform, convolution, applications.Technical RequirementsRealOne Player software is required to run the .rm files found on this course site. MATLAB® is a trademark of The MathWorks, Inc. Review of linear algebra, applications to networks, structures, and estimation, Lagrange multipliers, differential equations of equilibrium, Laplace's equation and potential flow, boundary-value problems, minimum principles and calculus of variations, Fourier series, discrete Fourier transform, convolution, applications.Technical RequirementsRealOne Player software is required to run the .rm files found on this course site. MATLAB® is a trademark of The MathWorks, Inc.Subjects

linear algebra | linear algebra | networks | networks | Lagrange multipliers | Lagrange multipliers | differential equations of equilibrium | differential equations of equilibrium | Laplace's equation | Laplace's equation | potential flow | potential flow | boundary-value problems | boundary-value problems | Fourier series | Fourier series | discrete Fourier transform | discrete Fourier transform | convolution | convolutionLicense

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See all metadata5.04 Principles of Inorganic Chemistry II (MIT) 5.04 Principles of Inorganic Chemistry II (MIT)

Description

This course provides a systematic presentation of the chemical applications of group theory with emphasis on the formal development of the subject and its applications to the physical methods of inorganic chemical compounds. The electronic structure of molecules will be developed. Against this backdrop, the optical, vibrational, and magnetic properties of transition metal complexes are presented and their investigation by the appropriate spectroscopy is described. This course provides a systematic presentation of the chemical applications of group theory with emphasis on the formal development of the subject and its applications to the physical methods of inorganic chemical compounds. The electronic structure of molecules will be developed. Against this backdrop, the optical, vibrational, and magnetic properties of transition metal complexes are presented and their investigation by the appropriate spectroscopy is described.Subjects

inorganic chemistry | inorganic chemistry | group theory | group theory | transition metal complexes | transition metal complexes | symmetry element | symmetry element | point group | point group | LCAO | LCAO | metal metal bonding | metal metal bonding | vibrational spectroscopy | vibrational spectroscopy | character tables | character tables | sandwich compounds | sandwich compoundsLicense

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ebook version of An essay concerning the outward and salutary application of oils on the human body: By the Rev. William Martin Trinder, MD. ebook version of An essay concerning the outward and salutary application of oils on the human body: By the Rev. William Martin Trinder, MD.License

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See all metadataTALAT Lecture 1100.01: Introduction: Aluminium, a Light Metal

Description

This lecture provides basic information about the history of aluminium, the principles behind the production of primary metal, environmental properties, potential applications, areas of application. The lecture is recommended for those situations, where a brief, general background information about aluminium is needed as an introduction of other subject areas of aluminium application technologies. This lecture is part of the self-contained course "Aluminium in Product Development", which is treated under TALAT lectures 2100.Subjects

aluminium | aluminum | european aluminium association | EAA | Training in Aluminium Application Technologies | training | metallurgy | technology | lecture | production | markets | environment | application | structure | corematerials | ukoerLicense

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See all metadata15.904 Strategic Management II (MIT)

Description

This half-semester course is intended to be an extension of course 15.902, Strategic Management I, with the purpose of allowing the students to experience an in-depth application of the concepts and frameworks of strategic management. Throughout the course, Prof. Hax will discuss the appropriate methodologies, concepts, and tools pertinent to strategic analyses and will illustrate their use by discussing many applications in real-life settings, drawn from his own personal experiences.Subjects

Delta Project | personal experiences | applications in real-life settings | strategic analyses | concepts and frameworks of strategic management | applications | real-life settings | concepts | frameworks | strategic managment | business | corporate | strategy | administrationLicense

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See all metadata6.071 Introduction to Electronics (MIT) 6.071 Introduction to Electronics (MIT)

Description

Subject 6.071, a lab-based course, provides undergraduate students with both a basic and practical undertanding of electricity and electronics. The emphasis is on applications rather than theory. Consequently there is a strong hands-on component to the subject to enable students to gain practical experience. Topics covered in the subject include:DC and AC circuitsDiodes, transistors, operational amplifierAnalog and digital electronicsDetectors and transducersElectronic controlSignal processing and noiseThe focus of the subject is understanding the critical issues involved in assembling and using an array of electronic equipment to carry out various missions. Thus, there is more emphasis on the application as opposed to design. The breadth of topics covered in 6.071 makes this a good choice Subject 6.071, a lab-based course, provides undergraduate students with both a basic and practical undertanding of electricity and electronics. The emphasis is on applications rather than theory. Consequently there is a strong hands-on component to the subject to enable students to gain practical experience. Topics covered in the subject include:DC and AC circuitsDiodes, transistors, operational amplifierAnalog and digital electronicsDetectors and transducersElectronic controlSignal processing and noiseThe focus of the subject is understanding the critical issues involved in assembling and using an array of electronic equipment to carry out various missions. Thus, there is more emphasis on the application as opposed to design. The breadth of topics covered in 6.071 makes this a good choiceSubjects

digital circuits | digital circuits | transistor circuits | transistor circuits | diode circuits | diode circuits | AM and FM modulation | AM and FM modulation | transients | transients | op-amps | op-ampsLicense

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See all metadata8.322 Quantum Theory II (MIT) 8.322 Quantum Theory II (MIT)

Description

8.322 is the second semester of a two-semester subject on quantum theory, stressing principles. Topics covered include: time-dependent perturbation theory and applications to radiation, quantization of EM radiation field, adiabatic theorem and Berry's phase, symmetries in QM, many-particle systems, scattering theory, relativistic quantum mechanics, and Dirac equation. 8.322 is the second semester of a two-semester subject on quantum theory, stressing principles. Topics covered include: time-dependent perturbation theory and applications to radiation, quantization of EM radiation field, adiabatic theorem and Berry's phase, symmetries in QM, many-particle systems, scattering theory, relativistic quantum mechanics, and Dirac equation.Subjects

uncertainty relation | uncertainty relation | observables | observables | eigenstates | eigenstates | eigenvalues | eigenvalues | probabilities of the results of measurement | probabilities of the results of measurement | transformation theory | transformation theory | equations of motion | equations of motion | constants of motion | constants of motion | Symmetry in quantum mechanics | Symmetry in quantum mechanics | representations of symmetry groups | representations of symmetry groups | Variational and perturbation approximations | Variational and perturbation approximations | Systems of identical particles and applications | Systems of identical particles and applications | Time-dependent perturbation theory | Time-dependent perturbation theory | Scattering theory: phase shifts | Scattering theory: phase shifts | Born approximation | Born approximation | The quantum theory of radiation | The quantum theory of radiation | Second quantization and many-body theory | Second quantization and many-body theory | Relativistic quantum mechanics of one electron | Relativistic quantum mechanics of one electron | probability | probability | measurement | measurement | motion equations | motion equations | motion constants | motion constants | symmetry groups | symmetry groups | quantum mechanics | quantum mechanics | variational approximations | variational approximations | perturbation approximations | perturbation approximations | identical particles | identical particles | time-dependent perturbation theory | time-dependent perturbation theory | scattering theory | scattering theory | phase shifts | phase shifts | quantum theory of radiation | quantum theory of radiation | second quantization | second quantization | many-body theory | many-body theory | relativistic quantum mechanics | relativistic quantum mechanics | one electron | one electron | quantization | quantization | EM radiation field | EM radiation field | electromagnetic radiation field | electromagnetic radiation field | adiabatic theorem | adiabatic theorem | Berry?s phase | Berry?s phase | many-particle systems | many-particle systems | Dirac equation | Dirac equation | Hilbert spaces | Hilbert spaces | time evolution | time evolution | Schrodinger picture | Schrodinger picture | Heisenberg picture | Heisenberg picture | interaction picture | interaction picture | classical mechanics | classical mechanics | path integrals | path integrals | EM fields | EM fields | electromagnetic fields | electromagnetic fields | angular momentum | angular momentum | density operators | density operators | quantum measurement | quantum measurement | quantum statistics | quantum statistics | quantum dynamics | quantum dynamicsLicense

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See all metadataDK1334 Community Learning and Development: Accountability for and Management of Resources

Description

This is the Tutor's Support Pack for this unit. This unit is designed to enable students to understand the principles of management of resources in a community-based setting and to give them the skills to make a funding application. The unit has three main areas, each of which is the subject of a separate learning Outcome. To begin with, it will look at basic management systems and how they are important to physical and human resources. The reasons for accountability of funds and resources will then be examined. Students will then be taught how to make noncomplex funding applications. In order to complete the unit successfully students will be required to achieve a satisfactory level of performance in the assessment, which involves applying funding application processes to make a fundingSubjects

DK13 34 | quality framework | funding application | Control Systems | Budgetary Control | BUSINESS / MANAGEMENT / OFFICE STUDIES | A: Business/Management/Office Studies | POLITICS / ECONOMICS / LAW / SOCIAL SCIENCES | SCQF Level 7License

Copyright in these materials is owned by the Colleges Open Learning Exchange Group (COLEG). None of these materials may be Used without the express, prior, written consent of COLEG, except if and to the extent that such Use is permitted under COLEG's conditions of Contribution and Use of Learning Materials through COLEGâ€™s Repository ( http://coleg.intralibrary.com/open_virtual_file_path/i16029n97237t/COLEGTC_L1.pdf ), for the purposes of which these materials are COLEG Materials. Copyright in these materials is owned by the Colleges Open Learning Exchange Group (COLEG). None of these materials may be Used without the express, prior, written consent of COLEG, except if and to the extent that such Use is permitted under COLEG's conditions of Contribution and Use of Learning Materials through COLEGâ€™s Repository ( http://coleg.intralibrary.com/open_virtual_file_path/i16029n97237t/COLEGTC_L1.pdf ), for the purposes of which these materials are COLEG Materials. Licensed to colleges in Scotland only Licensed to colleges in Scotland only http://content.resourceshare.ac.uk/xmlui/bitstream/handle/10949/17759/LicenceCOLEG.pdf?sequence=1 http://content.resourceshare.ac.uk/xmlui/bitstream/handle/10949/17759/LicenceCOLEG.pdf?sequence=1 COLEG COLEGSite sourced from

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This course uses the theory and application of atomistic computer simulations to model, understand, and predict the properties of real materials. Specific topics include: energy models from classical potentials to first-principles approaches; density functional theory and the total-energy pseudopotential method; errors and accuracy of quantitative predictions: thermodynamic ensembles, Monte Carlo sampling and molecular dynamics simulations; free energy and phase transitions; fluctuations and transport properties; and coarse-graining approaches and mesoscale models. The course employs case studies from industrial applications of advanced materials to nanotechnology. Several laboratories will give students direct experience with simulations of classical force fields, electronic-structure app This course uses the theory and application of atomistic computer simulations to model, understand, and predict the properties of real materials. Specific topics include: energy models from classical potentials to first-principles approaches; density functional theory and the total-energy pseudopotential method; errors and accuracy of quantitative predictions: thermodynamic ensembles, Monte Carlo sampling and molecular dynamics simulations; free energy and phase transitions; fluctuations and transport properties; and coarse-graining approaches and mesoscale models. The course employs case studies from industrial applications of advanced materials to nanotechnology. Several laboratories will give students direct experience with simulations of classical force fields, electronic-structure appSubjects

simulation | simulation | computer simulation | computer simulation | atomistic computer simulations | atomistic computer simulations | Density-functional theory | Density-functional theory | DFT | DFT | Hartree-Fock | Hartree-Fock | total-energy pseudopotential | total-energy pseudopotential | thermodynamics | thermodynamics | thermodynamic ensembles | thermodynamic ensembles | quantum mechanics | quantum mechanics | first-principles | first-principles | Monte Carlo sampling | Monte Carlo sampling | molecular dynamics | molecular dynamics | finite temperature | finite temperature | Free energies | Free energies | phase transitions | phase transitions | Coarse-graining | Coarse-graining | mesoscale model | mesoscale model | nanotube | nanotube | alloy | alloyLicense

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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Overall introduction and insight into the main LIDAR (laser radar) systems and optical remote sensing application applications. The course presents the grounds of the optical, electro-optical technologies, and physical processes involved as well as the applications of these remote sensing systems in present-day fields such as detection and monitoring of chemical species, atmospheric monitoring (pollution and physical variables), Earth observation and, up to a point, their industrial application.License

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See all metadata22.105 Electromagnetic Interactions (MIT) 22.105 Electromagnetic Interactions (MIT)

Description

Principles and applications of electromagnetism, starting from Maxwell's equations, with emphasis on phenomena important to nuclear engineering and radiation sciences. Solution methods for electrostatic and magnetostatic fields. Charged particle motion in those fields. Particle acceleration and focussing. Collisions with charged particles and with atoms. Electromagnetic waves, wave emission by accelerated particles, Bremsstrahlung. Compton scattering. Photoionization. Elementary applications to ranging, shielding, imaging, and radiation effects. Principles and applications of electromagnetism, starting from Maxwell's equations, with emphasis on phenomena important to nuclear engineering and radiation sciences. Solution methods for electrostatic and magnetostatic fields. Charged particle motion in those fields. Particle acceleration and focussing. Collisions with charged particles and with atoms. Electromagnetic waves, wave emission by accelerated particles, Bremsstrahlung. Compton scattering. Photoionization. Elementary applications to ranging, shielding, imaging, and radiation effects.Subjects

electromagnetism | | electromagnetism | | Maxwell's equations | | Maxwell's equations | | electrostatic fields | | electrostatic fields | | magnetostatic fields | | magnetostatic fields | | Charged particle motion | | Charged particle motion | | Particle acceleration | | Particle acceleration | | Electromagnetic waves | | Electromagnetic waves | | Bremsstrahlung | | Bremsstrahlung | | Compton scattering | | Compton scattering | | Photoionization | PhotoionizationLicense

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 metadata6.079 Introduction to Convex Optimization (MIT) 6.079 Introduction to Convex Optimization (MIT)

Description

This course aims to give students the tools and training to recognize convex optimization problems that arise in scientific and engineering applications, presenting the basic theory, and concentrating on modeling aspects and results that are useful in applications. Topics include convex sets, convex functions, optimization problems, least-squares, linear and quadratic programs, semidefinite programming, optimality conditions, and duality theory. Applications to signal processing, control, machine learning, finance, digital and analog circuit design, computational geometry, statistics, and mechanical engineering are presented. Students complete hands-on exercises using high-level numerical software. Acknowledgements The course materials were developed jointly by Prof. Stephen Boyd (Stanford This course aims to give students the tools and training to recognize convex optimization problems that arise in scientific and engineering applications, presenting the basic theory, and concentrating on modeling aspects and results that are useful in applications. Topics include convex sets, convex functions, optimization problems, least-squares, linear and quadratic programs, semidefinite programming, optimality conditions, and duality theory. Applications to signal processing, control, machine learning, finance, digital and analog circuit design, computational geometry, statistics, and mechanical engineering are presented. Students complete hands-on exercises using high-level numerical software. Acknowledgements The course materials were developed jointly by Prof. Stephen Boyd (StanfordSubjects

convex sets | convex sets | convex functions | convex functions | optimization problems | optimization problems | least-squares | least-squares | linear and quadratic programs | linear and quadratic programs | semidefinite programming | semidefinite programming | optimality conditions | optimality conditions | duality theory | duality theoryLicense

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 metadata15.082J Network Optimization (MIT) 15.082J Network Optimization (MIT)

Description

15.082J/6.855J/ESD.78J is a graduate subject in the theory and practice of network flows and its extensions. Network flow problems form a subclass of linear programming problems with applications to transportation, logistics, manufacturing, computer science, project management, and finance, as well as a number of other domains. This subject will survey some of the applications of network flows and focus on key special cases of network flow problems including the following: the shortest path problem, the maximum flow problem, the minimum cost flow problem, and the multi-commodity flow problem. We will also consider other extensions of network flow problems. 15.082J/6.855J/ESD.78J is a graduate subject in the theory and practice of network flows and its extensions. Network flow problems form a subclass of linear programming problems with applications to transportation, logistics, manufacturing, computer science, project management, and finance, as well as a number of other domains. This subject will survey some of the applications of network flows and focus on key special cases of network flow problems including the following: the shortest path problem, the maximum flow problem, the minimum cost flow problem, and the multi-commodity flow problem. We will also consider other extensions of network flow problems.Subjects

15.082 | 15.082 | 6.855 | 6.855 | ESD.78 | ESD.78 | network models | network models | network design | network design | maximum flow algorithm | maximum flow algorithm | minimum cost flow | minimum cost flow | shortest path algorithm | shortest path algorithm | algorithm efficiency | algorithm efficiency | preflow push algorithm | preflow push algorithm | data structures | data structuresLicense

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 subject provides an introduction to modeling and simulation, covering continuum methods, atomistic and molecular simulation, and quantum mechanics. Hands-on training is provided in the fundamentals and applications of these methods to key engineering problems. The lectures provide exposure to areas of application based on the scientific exploitation of the power of computation. We use web based applets for simulations, thus extensive programming skills are not required. This subject provides an introduction to modeling and simulation, covering continuum methods, atomistic and molecular simulation, and quantum mechanics. Hands-on training is provided in the fundamentals and applications of these methods to key engineering problems. The lectures provide exposure to areas of application based on the scientific exploitation of the power of computation. We use web based applets for simulations, thus extensive programming skills are not required.Subjects

molecular simulation | molecular simulation | continuum methods | continuum methods | Young's modulus | Young's modulus | Schroedinger's equation | Schroedinger's equation | quantum | quantumLicense

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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