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Description
This course provides a broad theoretical basis for system identification, estimation, and learning. Students will study least squares estimation and its convergence properties, Kalman filters, noise dynamics and system representation, function approximation theory, neural nets, radial basis functions, wavelets, Volterra expansions, informative data sets, persistent excitation, asymptotic variance, central limit theorems, model structure selection, system order estimate, maximum likelihood, unbiased estimates, Cramer-Rao lower bound, Kullback-Leibler information distance, Akaike's information criterion, experiment design, and model validation. This course provides a broad theoretical basis for system identification, estimation, and learning. Students will study least squares estimation and its convergence properties, Kalman filters, noise dynamics and system representation, function approximation theory, neural nets, radial basis functions, wavelets, Volterra expansions, informative data sets, persistent excitation, asymptotic variance, central limit theorems, model structure selection, system order estimate, maximum likelihood, unbiased estimates, Cramer-Rao lower bound, Kullback-Leibler information distance, Akaike's information criterion, experiment design, and model validation.Subjects
system identification; estimation; least squares estimation; Kalman filter; noise dynamics; system representation; function approximation theory; neural nets; radial basis functions; wavelets; volterra expansions; informative data sets; persistent excitation; asymptotic variance; central limit theorem; model structure selection; system order estimate; maximum likelihood; unbiased estimates; Cramer-Rao lower bound; Kullback-Leibler information distance; Akaike?s information criterion; experiment design; model validation. | system identification; estimation; least squares estimation; Kalman filter; noise dynamics; system representation; function approximation theory; neural nets; radial basis functions; wavelets; volterra expansions; informative data sets; persistent excitation; asymptotic variance; central limit theorem; model structure selection; system order estimate; maximum likelihood; unbiased estimates; Cramer-Rao lower bound; Kullback-Leibler information distance; Akaike?s information criterion; experiment design; model validation. | system identification | system identification | estimation | estimation | least squares estimation | least squares estimation | Kalman filter | Kalman filter | noise dynamics | noise dynamics | system representation | system representation | function approximation theory | function approximation theory | neural nets | neural nets | radial basis functions | radial basis functions | wavelets | wavelets | volterra expansions | volterra expansions | informative data sets | informative data sets | persistent excitation | persistent excitation | asymptotic variance | asymptotic variance | central limit theorem | central limit theorem | model structure selection | model structure selection | system order estimate | system order estimate | maximum likelihood | maximum likelihood | unbiased estimates | unbiased estimates | Cramer-Rao lower bound | Cramer-Rao lower bound | Kullback-Leibler information distance | Kullback-Leibler information distance | Akaike?s information criterion | Akaike?s information criterion | experiment design | experiment design | model validation | model validationLicense
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 metadata14.384 Time Series Analysis (MIT) 14.384 Time Series Analysis (MIT)
Description
Subjects
univariate stationary | univariate stationary | univariate non-stationary | univariate non-stationary | vector autoregressions | vector autoregressions | frequency domain analysis | frequency domain analysis | persistent time series | persistent time series | structural breaks | structural breaks | dynamic stochastic general equilibrium | dynamic stochastic general equilibrium | DSGE | DSGE | Bayesian | Bayesian | econometrics | econometrics | VAR | VAR | unit root | unit root | prediction regression | prediction regression | GMM | GMM | MCMC | MCMCLicense
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 design course targets the solution of clinical problems by use of implants and other medical devices. Topics include the systematic use of cell-matrix control volumes; the role of stress analysis in the design process; anatomic fit, shape and size of implants; selection of biomaterials; instrumentation for surgical implantation procedures; preclinical testing for safety and efficacy, including risk/benefit ratio assessment evaluation of clinical performance and design of clinical trials. Student project materials are drawn from orthopedic devices, soft tissue implants, artificial organs, and dental implants. This design course targets the solution of clinical problems by use of implants and other medical devices. Topics include the systematic use of cell-matrix control volumes; the role of stress analysis in the design process; anatomic fit, shape and size of implants; selection of biomaterials; instrumentation for surgical implantation procedures; preclinical testing for safety and efficacy, including risk/benefit ratio assessment evaluation of clinical performance and design of clinical trials. Student project materials are drawn from orthopedic devices, soft tissue implants, artificial organs, and dental implants.Subjects
2.782 | 2.782 | 3.961 | 3.961 | 20.451 | 20.451 | HST.524 | HST.524 | clinical problems | clinical problems | implants | implants | medical devices | medical devices | cell-matrix control volumes | cell-matrix control volumes | stress analysis | stress analysis | anatomic fit | anatomic fit | biomaterials | biomaterials | surgical implantation procedures | surgical implantation procedures | Preclinical testing | Preclinical testing | risk/benefit ratio assessment | risk/benefit ratio assessment | clinical performance | clinical performance | clinical trials | clinical trials | orthopedic devices | orthopedic devices | soft tissue implants | soft tissue implants | artificial organs | artificial organs | dental implants | dental implants | stent | stent | prosthesis | prosthesis | scaffold | scaffold | bio-implant | bio-implant | scar | scar | genetics | genetics | skin | skin | nerve | nerve | bone | bone | tooth | tooth | joint | joint | FDA | FDA | FDA approval | FDA approval | cartilage | cartilage | ACL | ACL | health | health | regulation | regulation | healthcare | healthcare | medicine | medicine | bioengineering | bioengineeringLicense
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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Equine nasal wound sutured close with stentsLicense
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See all metadataMecánica de sólidos y sistemas estructurales Mecánica de sólidos y sistemas estructurales
Description
Curso de introducción a las estructuras mecánicas de los edificios, su definición y los requisitos que deben cumplir, su análisis y su concepción, así como las bases físicas y matemáticas de su modelización elemental. En esta asignatura estarán presentes en las explicaciones los siguientes temas: La incertidumbre inherente a cualquier situación real (geometría, fuerzas, características de los materiales) La descripción de la realidad mediante modelos que siempre tienen un limitado intervalo de utilidad. El uso sistemático de modelos alternativos para describir un mismo caso real. El método matemático como sistematización y codificación del razonamiento, que no debe excluir el sentido común. [Aroca lo ha expresado verbalmente de otro modo en otras ocasiones: "Las m Curso de introducción a las estructuras mecánicas de los edificios, su definición y los requisitos que deben cumplir, su análisis y su concepción, así como las bases físicas y matemáticas de su modelización elemental. En esta asignatura estarán presentes en las explicaciones los siguientes temas: La incertidumbre inherente a cualquier situación real (geometría, fuerzas, características de los materiales) La descripción de la realidad mediante modelos que siempre tienen un limitado intervalo de utilidad. El uso sistemático de modelos alternativos para describir un mismo caso real. El método matemático como sistematización y codificación del razonamiento, que no debe excluir el sentido común. [Aroca lo ha expresado verbalmente de otro modo en otras ocasiones: "Las mSubjects
sustentación | sustentación | Mecánica de Medios Contínuos y Teoría de Estructuras | Mecánica de Medios Contínuos y Teoría de Estructuras | tensión | tensión | estabilidad | estabilidad | estática | estática | equilibrio | equilibrio | seguridad | seguridad | desplazamiento | desplazamiento | estructura | estructura | deformación | deformación | compatibilidad | compatibilidad | acción | acción | sólido | sólido | estructuras | estructuras | edificio | edificio | resistencia | resistencia | trabajo virtual | trabajo virtual | edificios | edificios | action | action | rigidez | rigidezLicense
Copyright 2009, by the Contributing Authors http://creativecommons.org/licenses/by-nc-sa/3.0/Site sourced from
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Equine nasal wound sutured close with stentsLicense
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See all metadata14.384 Time Series Analysis (MIT) 14.384 Time Series Analysis (MIT)
Description
The course provides a survey of the theory and application of time series methods in econometrics. Topics covered will include univariate stationary and non-stationary models, vector autoregressions, frequency domain methods, models for estimation and inference in persistent time series, and structural breaks. We will cover different methods of estimation and inferences of modern dynamic stochastic general equilibrium models (DSGE): simulated method of moments, maximum likelihood and Bayesian approach. The empirical applications in the course will be drawn primarily from macroeconomics. The course provides a survey of the theory and application of time series methods in econometrics. Topics covered will include univariate stationary and non-stationary models, vector autoregressions, frequency domain methods, models for estimation and inference in persistent time series, and structural breaks. We will cover different methods of estimation and inferences of modern dynamic stochastic general equilibrium models (DSGE): simulated method of moments, maximum likelihood and Bayesian approach. The empirical applications in the course will be drawn primarily from macroeconomics.Subjects
univariate stationary | univariate stationary | univariate non-stationary | univariate non-stationary | vector autoregressions | vector autoregressions | frequency domain analysis | frequency domain analysis | persistent time series | persistent time series | structural breaks | structural breaks | dynamic stochastic general equilibrium | dynamic stochastic general equilibrium | DSGE | DSGE | Bayesian | Bayesian | econometrics | econometrics | VAR | VAR | unit root | unit root | prediction regression | prediction regression | GMM | GMM | MCMC | MCMCLicense
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 metadataFrantz Fanon, Black Skin, White Masks Frantz Fanon, Black Skin, White Masks
Description
Video and link to presentation by Christina Hendricks for the Repetition Compulsion theme, February 2015. Video and link to presentation by Christina Hendricks for the Repetition Compulsion theme, February 2015.Subjects
lecture | lecture | powerpoint | powerpoint | Repetition Compulsion | Repetition Compulsion | video | video | Beauvoir | Beauvoir | C20th | C20th | Caribbean | Caribbean | Existentialism | Existentialism | France | France | philosophy | philosophy | postcolonialism | postcolonialism | Sartre | SartreLicense
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Includes audio/video content: AV lectures. 6.890 Algorithmic Lower Bounds: Fun with Hardness Proofs is a class taking a practical approach to proving problems can't be solved efficiently (in polynomial time and assuming standard complexity-theoretic assumptions like P ≠ NP). The class focuses on reductions and techniques for proving problems are computationally hard for a variety of complexity classes. Along the way, the class will create many interesting gadgets, learn many hardness proof styles, explore the connection between games and computation, survey several important problems and complexity classes, and crush hopes and dreams (for fast optimal solutions). Includes audio/video content: AV lectures. 6.890 Algorithmic Lower Bounds: Fun with Hardness Proofs is a class taking a practical approach to proving problems can't be solved efficiently (in polynomial time and assuming standard complexity-theoretic assumptions like P ≠ NP). The class focuses on reductions and techniques for proving problems are computationally hard for a variety of complexity classes. Along the way, the class will create many interesting gadgets, learn many hardness proof styles, explore the connection between games and computation, survey several important problems and complexity classes, and crush hopes and dreams (for fast optimal solutions).Subjects
NP-completeness | NP-completeness | 3SAT | 3SAT | 3-partition | 3-partition | Hamiltonicity | Hamiltonicity | PSPACE | PSPACE | EXPTIME | EXPTIME | EXPSPACE | EXPSPACE | games | games | puzzles | puzzles | computation | computation | Tetris | Tetris | Nintendo | Nintendo | Super Mario Bros. | Super Mario Bros. | The Legend of Zelda | The Legend of Zelda | Metroid | Metroid | Pokémon | Pokémon | constraint logic | constraint logic | Sudoku | Sudoku | Nikoli | Nikoli | Chess | Chess | Go | Go | Othello | Othello | board games | board games | inapproximability | inapproximability | PCP theorem | PCP theorem | OPT-preserving reduction | OPT-preserving reduction | APX-hardness | APX-hardness | vertex cover | vertex cover | Set-cover hardness | Set-cover hardness | Group Steiner tree | Group Steiner tree | k-dense subgraph | k-dense subgraph | label cover | label cover | Unique Games Conjecture | Unique Games Conjecture | independent set | independent set | fixed-parameter intractability | fixed-parameter intractability | parameter-preserving reduction | parameter-preserving reduction | W hierarchy | W hierarchy | clique-hardness | clique-hardness | 3SUM-hardness | 3SUM-hardness | exponential time hypothesis | exponential time hypothesis | counting problems | counting problems | solution uniqueness | solution uniqueness | game theory | game theory | Existential theory of the reals | Existential theory of the reals | undecidability | undecidabilityLicense
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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In the decades following the Second World War, a cluster of extraordinary French thinkers were widely translated and read in American universities. Their works were soon labeled as "French Theory." Why would sharing the same nationality make authors such as Lacan, Cixous, Derrida, Foucault or Debord, ambassadors of a specifically "French" theory? The course will explore the maze of transatlantic intellectual debates since 1945 and the heyday of French existentialism. We will study the debates on communism, decolonization, neo‐liberalism, gender, youth culture and mass media. This course is taught in English. In the decades following the Second World War, a cluster of extraordinary French thinkers were widely translated and read in American universities. Their works were soon labeled as "French Theory." Why would sharing the same nationality make authors such as Lacan, Cixous, Derrida, Foucault or Debord, ambassadors of a specifically "French" theory? The course will explore the maze of transatlantic intellectual debates since 1945 and the heyday of French existentialism. We will study the debates on communism, decolonization, neo‐liberalism, gender, youth culture and mass media. This course is taught in English.Subjects
21G.068 | 21G.068 | WGS.234 | WGS.234 | French Theory | French Theory | postcolonial France | postcolonial France | existentialism | existentialism | Lacan | Lacan | Camus | Camus | Sartre | Sartre | Debord | Debord | Foucault | Foucault | Derrida | Derrida | Barthes | Barthes | Bourdieu | Bourdieu | Lyotard | Lyotard | Simone de Beauvoir | Simone de Beauvoir | Eribon | Eribon | Blanchot | Blanchot | Franz Fanon | Franz Fanon | neo-liberalism | neo-liberalism | gender | gender | communism | communismLicense
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 metadata2.160 Identification, Estimation, and Learning (MIT)
Description
This course provides a broad theoretical basis for system identification, estimation, and learning. Students will study least squares estimation and its convergence properties, Kalman filters, noise dynamics and system representation, function approximation theory, neural nets, radial basis functions, wavelets, Volterra expansions, informative data sets, persistent excitation, asymptotic variance, central limit theorems, model structure selection, system order estimate, maximum likelihood, unbiased estimates, Cramer-Rao lower bound, Kullback-Leibler information distance, Akaike's information criterion, experiment design, and model validation.Subjects
system identification; estimation; least squares estimation; Kalman filter; noise dynamics; system representation; function approximation theory; neural nets; radial basis functions; wavelets; volterra expansions; informative data sets; persistent excitation; asymptotic variance; central limit theorem; model structure selection; system order estimate; maximum likelihood; unbiased estimates; Cramer-Rao lower bound; Kullback-Leibler information distance; Akaike?s information criterion; experiment design; model validation. | system identification | estimation | least squares estimation | Kalman filter | noise dynamics | system representation | function approximation theory | neural nets | radial basis functions | wavelets | volterra expansions | informative data sets | persistent excitation | asymptotic variance | central limit theorem | model structure selection | system order estimate | maximum likelihood | unbiased estimates | Cramer-Rao lower bound | Kullback-Leibler information distance | Akaike?s information criterion | experiment design | model validationLicense
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 https://ocw.mit.edu/terms/index.htmSite sourced from
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See all metadata14.384 Time Series Analysis (MIT)
Description
The course provides a survey of the theory and application of time series methods in econometrics. Topics covered will include univariate stationary and non-stationary models, vector autoregressions, frequency domain methods, models for estimation and inference in persistent time series, and structural breaks. We will cover different methods of estimation and inferences of modern dynamic stochastic general equilibrium models (DSGE): simulated method of moments, maximum likelihood and Bayesian approach. The empirical applications in the course will be drawn primarily from macroeconomics.Subjects
univariate stationary | univariate non-stationary | vector autoregressions | frequency domain analysis | persistent time series | structural breaks | dynamic stochastic general equilibrium | DSGE | Bayesian | econometrics | VAR | unit root | prediction regression | GMM | MCMCLicense
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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In the decades following the Second World War, a cluster of extraordinary French thinkers were widely translated and read in American universities. Their works were soon labeled as "French Theory." Why would sharing the same nationality make authors such as Lacan, Cixous, Derrida, Foucault or Debord, ambassadors of a specifically "French" theory? The course will explore the maze of transatlantic intellectual debates since 1945 and the heyday of French existentialism. We will study the debates on communism, decolonization, neo‐liberalism, gender, youth culture and mass media. This course is taught in English.Subjects
French Theory | postcolonial France | existentialism | Lacan | Camus | Sartre | Debord | Foucault | Derrida | Barthes | Bourdieu | Lyotard | Simone de Beauvoir | Eribon | Blanchot | Franz Fanon | neo-liberalism | gender | communismLicense
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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El espíritu del Seminario es integrar las habilidades de liderazgo y competencia técnica del ejecutivo actual para que se propongan ideas innovadoras, creativas y adecuadas a las situaciones que se viven diariamente en las empresas y organizaciones del mundo globalizado. El curso incentiva a desarrollar una visión holística de las empresas y promueve, de manera dinámica y participativa, la incorporación en la toma de decisiones de los aspectos científicos, humanos y estratégicos que el alumno ya ha desarrollado a través de su programa de posgrado que culmina con este último curso.Subjects
Estrategia corporativa | Concepto de estrategia corporativa | Estrategia basada en recursos | ías de escala (scale) y de alcance (scope) | ón vertical y estrategias de diversificación: Concéntrica y conglomerada | ón de la firma multinacional | Gobierno corporativo | Estrategias multinacionales | Concepto de corporaciones multinacionales | ón de competencias estratégicas | Estrategias en empresas multinacionales | Aprendizaje y sustentabilidad | Aprendizaje en empresas multinacionales | ámide económica | ón de conocimientos y habilidades desarrolladas en este ambiente de aprendizajeLicense
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See all metadataSimone de Beauvoir, The Second Sex
Description
Video of lecture by Jill Fellows for the "Remake/Remodel" themeSubjects
Jill Fellows | lecture | Remake/Remodel | video | C20th | De Beauvoir | Existentialism | Feminism | France | gender | philosophy | womenLicense
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In the decades following the Second World War, a cluster of extraordinary French thinkers were widely translated and read in American universities. Their works were soon labeled as "French Theory." Why would sharing the same nationality make authors such as Lacan, Cixous, Derrida, Foucault or Debord, ambassadors of a specifically "French" theory? The course will explore the maze of transatlantic intellectual debates since 1945 and the heyday of French existentialism. We will study the debates on communism, decolonization, neo?liberalism, gender, youth culture and mass media. This course is taught in English.Subjects
French Theory | postcolonial France | existentialism | Lacan | Camus | Sartre | Debord | Foucault | Derrida | Barthes | Bourdieu | Lyotard | Simone de Beauvoir | Eribon | Blanchot | Franz Fanon | neo-liberalism | gender | communismLicense
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 image comes from a collection of glass slides of fairground scenes found in the stores at Discovery Museum, Newcastle upon Tyne. www.flickr.com/photos/twm_news/sets/72157627692102509/ We have no information about the photographer or where the photographs were taken. We welcome any new information you are able to share. (Copyright) We're happy for you to share these digital images within the spirit of The Commons. Please cite 'Tyne & Wear Archives & Museums' when reusing. Certain restrictions on high quality reproductions and commercial use of the original physical version apply though; if you're unsure please email archives@twmuseums.org.ukSubjects
lions | circus | newcastle | carnival | bigtop | circusact | blackandwhite | archivephoto | spectacular | amazing | wtf | portrait | liontamer | circusanimals | circusperformer | fearless | circustent | scenery | theatrical | animalact | workingenvironment | documentaryphotography | entertainment | behindthescenes | menageriesLicense
No known copyright restrictionsSite sourced from
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This image comes from a collection of glass slides of fairground scenes found in the stores at Discovery Museum, Newcastle upon Tyne. www.flickr.com/photos/twm_news/sets/72157627692102509/ We welcome any new information you are able to share about this image. Contributed by Mr Geoffrey Younger- "Captain Fred Wombwell with Mary the lioness at Leicester in 1927". (Copyright) We're happy for you to share these digital images within the spirit of The Commons. Please cite 'Tyne & Wear Archives & Museums' when reusing. Certain restrictions on high quality reproductions and commercial use of the original physical version apply though; if you're unsure please email archives@twmuseums.org.ukSubjects
circus | newcastle | fairground | blackandwhite | carnival | captivity | controversial | documentaryphotography | archivephotograph | entertainment | circusanimal | children | onlookers | cage | lion | animallabour | circusworker | liontamer | excitement | fear | performance | intrigue | circustent | menageriesLicense
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This course provides an in-depth introduction to the philosophical problems surrounding death; it is organized around the lectures of Shelly Kagan, Professor of Philosophy at Yale University, who develops his own philosophy of death over the length of the course. Its major purpose, aside from familiarizing the student with the writings of major philosophers on the subject of death, is to teach one how to think about death philosophically—to decide what to believe about death and to provide careful and convincing arguments for those beliefs. This free course may be completed online at any time. See course site for detailed overview and learning outcomes. (Philosophy 201)Subjects
metaphysics | death | monism | dualism | soul | free will | descartes | plato | identity | immortality | john locke | existentialism | michel de montaigne | jonathan swift | epicureanism | suicide | euthanasia | philosophical studies | V000License
Attribution 2.0 UK: England & Wales Attribution 2.0 UK: England & Wales http://creativecommons.org/licenses/by/2.0/uk/ http://creativecommons.org/licenses/by/2.0/uk/Site sourced from
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Psychotherapy refers to the practices clinical psychologists use to treat mental disorders. While “therapy” can denote any intervention undertaken with the goal of healing someone (including medicinal treatments for physical problems), psychotherapy is specific in that it uses certain cognitive, behavioral, and emotional regulation techniques. This free course may be completed online at any time. See course site for detailed overview and learning outcomes. (Psychology 404)Subjects
psychotherapy | psychoanalysis | behaviorism | freud | erikson | determinism | existentialism | humanism | Social studies | L000License
Attribution 2.0 UK: England & Wales Attribution 2.0 UK: England & Wales http://creativecommons.org/licenses/by/2.0/uk/ http://creativecommons.org/licenses/by/2.0/uk/Site sourced from
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See all metadataFLO's story - a Facebook Learning Object.
Description
FLO's Story is a Facebook Learning Object (FLO) for health and social care students. The aim of the learning object is to develop students understanding of, and empathy with, older people with persistent pain. The FLO presents the experience of living with persistent pain in the form of a fictitious older person's (Called Florence - Flo) Facebook entries and interactions with Facebook Friends. The storyline was written by a professional playwright and based upon older people's accounts of living with persistent pain. Within this resource are two files, the first directs the individual (student or educator) to FLO's story on Facebook and how to access it and use it. The second is a blueprint manual for educators which provides step-by-step instructions on how to create their own FLO'sSubjects
Facebook | Learning resource | Older adults with persistent pain | Health and Social Care | Subjects allied to medicine | B000License
Attribution 3.0 Unported Attribution 3.0 Unported http://creativecommons.org/licenses/by/3.0/ http://creativecommons.org/licenses/by/3.0/Site sourced from
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See all metadata14.384 Time Series Analysis (MIT)
Description
The course provides a survey of the theory and application of time series methods in econometrics. Topics covered will include univariate stationary and non-stationary models, vector autoregressions, frequency domain methods, models for estimation and inference in persistent time series, and structural breaks. We will cover different methods of estimation and inferences of modern dynamic stochastic general equilibrium models (DSGE): simulated method of moments, maximum likelihood and Bayesian approach. The empirical applications in the course will be drawn primarily from macroeconomics.Subjects
univariate stationary | univariate non-stationary | vector autoregressions | frequency domain analysis | persistent time series | structural breaks | dynamic stochastic general equilibrium | DSGE | Bayesian | econometrics | VAR | unit root | prediction regression | GMM | MCMCLicense
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 https://ocw.mit.edu/terms/index.htmSite sourced from
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See all metadata14.384 Time Series Analysis (MIT)
Description
The course provides a survey of the theory and application of time series methods in econometrics. Topics covered will include univariate stationary and non-stationary models, vector autoregressions, frequency domain methods, models for estimation and inference in persistent time series, and structural breaks. We will cover different methods of estimation and inferences of modern dynamic stochastic general equilibrium models (DSGE): simulated method of moments, maximum likelihood and Bayesian approach. The empirical applications in the course will be drawn primarily from macroeconomics.Recommended CitationFor any use or distribution of these materials, please cite as follows:Anna Mikusheva, course materials for 14.384 Time Series Analysis, Fall 2007. MIT OpenCourseWare (http://ocw.mit.edu)Subjects
univariate stationary | univariate non-stationary | vector autoregressions | frequency domain analysis | persistent time series | structural breaks | dynamic stochastic general equilibrium | DSGE | Bayesian | econometrics | VAR | unit root | prediction regression | GMM | MCMCLicense
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 https://ocw.mit.edu/terms/index.htmSite sourced from
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See all metadata2.782J Design of Medical Devices and Implants (MIT)
Description
This design course targets the solution of clinical problems by use of implants and other medical devices. Topics include the systematic use of cell-matrix control volumes; the role of stress analysis in the design process; anatomic fit, shape and size of implants; selection of biomaterials; instrumentation for surgical implantation procedures; preclinical testing for safety and efficacy, including risk/benefit ratio assessment evaluation of clinical performance and design of clinical trials. Student project materials are drawn from orthopedic devices, soft tissue implants, artificial organs, and dental implants.Subjects
2.782 | 3.961 | 20.451 | HST.524 | clinical problems | implants | medical devices | cell-matrix control volumes | stress analysis | anatomic fit | biomaterials | surgical implantation procedures | Preclinical testing | risk/benefit ratio assessment | clinical performance | clinical trials | orthopedic devices | soft tissue implants | artificial organs | dental implants | stent | prosthesis | scaffold | bio-implant | scar | genetics | skin | nerve | bone | tooth | joint | FDA | FDA approval | cartilage | ACL | health | regulation | healthcare | medicine | bioengineeringLicense
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 https://ocw.mit.edu/terms/index.htmSite sourced from
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See all metadata6.890 Algorithmic Lower Bounds: Fun with Hardness Proofs (MIT)
Description
6.890 Algorithmic Lower Bounds: Fun with Hardness Proofs is a class taking a practical approach to proving problems can't be solved efficiently (in polynomial time and assuming standard complexity-theoretic assumptions like P ≠ NP). The class focuses on reductions and techniques for proving problems are computationally hard for a variety of complexity classes. Along the way, the class will create many interesting gadgets, learn many hardness proof styles, explore the connection between games and computation, survey several important problems and complexity classes, and crush hopes and dreams (for fast optimal solutions).Subjects
NP-completeness | 3SAT | 3-partition | Hamiltonicity | PSPACE | EXPTIME | EXPSPACE | games | puzzles | computation | Tetris | Nintendo | Super Mario Bros. | The Legend of Zelda | Metroid | mon | constraint logic | Sudoku | Nikoli | Chess | Go | Othello | board games | inapproximability | PCP theorem | OPT-preserving reduction | APX-hardness | vertex cover | Set-cover hardness | Group Steiner tree | k-dense subgraph | label cover | Unique Games Conjecture | independent set | fixed-parameter intractability | parameter-preserving reduction | W hierarchy | clique-hardness | 3SUM-hardness | exponential time hypothesis | counting problems | solution uniqueness | game theory | Existential theory of the reals | undecidabilityLicense
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 https://ocw.mit.edu/terms/index.htmSite sourced from
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