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16.225 Computational Mechanics of Materials (MIT) 16.225 Computational Mechanics of Materials (MIT)

Description

16.225 is a graduate level course on Computational Mechanics of Materials. The primary focus of this course is on the teaching of state-of-the-art numerical methods for the analysis of the nonlinear continuum response of materials. The range of material behavior considered in this course includes: linear and finite deformation elasticity, inelasticity and dynamics. Numerical formulation and algorithms include: variational formulation and variational constitutive updates, finite element discretization, error estimation, constrained problems, time integration algorithms and convergence analysis. There is a strong emphasis on the (parallel) computer implementation of algorithms in programming assignments. The application to real engineering applications and problems in engineering science is 16.225 is a graduate level course on Computational Mechanics of Materials. The primary focus of this course is on the teaching of state-of-the-art numerical methods for the analysis of the nonlinear continuum response of materials. The range of material behavior considered in this course includes: linear and finite deformation elasticity, inelasticity and dynamics. Numerical formulation and algorithms include: variational formulation and variational constitutive updates, finite element discretization, error estimation, constrained problems, time integration algorithms and convergence analysis. There is a strong emphasis on the (parallel) computer implementation of algorithms in programming assignments. The application to real engineering applications and problems in engineering science is

Subjects

Computational Mechanics | Computational Mechanics | Computation | Computation | Mechanics | Mechanics | Materials | Materials | Numerical Methods | Numerical Methods | Numerical | Numerical | Nonlinear Continuum Response | Nonlinear Continuum Response | Continuum | Continuum | Deformation | Deformation | Elasticity | Elasticity | Inelasticity | Inelasticity | Dynamics | Dynamics | Variational Formulation | Variational Formulation | Variational Constitutive Updates | Variational Constitutive Updates | Finite Element | Finite Element | Discretization | Discretization | Error Estimation | Error Estimation | Constrained Problems | Constrained Problems | Time Integration | Time Integration | Convergence Analysis | Convergence Analysis | Programming | Programming | Continuum Response | Continuum Response | Computational | Computational | state-of-the-art | state-of-the-art | methods | methods | modeling | modeling | simulation | simulation | mechanical | mechanical | response | response | engineering | engineering | aerospace | aerospace | civil | civil | material | material | science | science | biomechanics | biomechanics | behavior | behavior | finite | finite | deformation | deformation | elasticity | elasticity | inelasticity | inelasticity | contact | contact | friction | friction | coupled | coupled | numerical | numerical | formulation | formulation | algorithms | algorithms | Variational | Variational | constitutive | constitutive | updates | updates | element | element | discretization | discretization | mesh | mesh | generation | generation | error | error | estimation | estimation | constrained | constrained | problems | problems | time | time | convergence | convergence | analysis | analysis | parallel | parallel | computer | computer | implementation | implementation | programming | programming | assembly | assembly | equation-solving | equation-solving | formulating | formulating | implementing | implementing | complex | complex | approximations | approximations | equations | equations | motion | motion | dynamic | dynamic | deformations | deformations | continua | continua | plasticity | plasticity | rate-dependency | rate-dependency | integration | integration

License

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.htm

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22.106 Neutron Interactions and Applications (MIT) 22.106 Neutron Interactions and Applications (MIT)

Description

This course is intended to introduce the student to the concepts and methods of transport theory needed in neutron science applications. This course is a foundational study of the effects of multiple interactions on neutron distributions and their applications to problems across the Nuclear Engineering department. Stochastic and deterministic simulation techniques will be introduced to the students. This course is intended to introduce the student to the concepts and methods of transport theory needed in neutron science applications. This course is a foundational study of the effects of multiple interactions on neutron distributions and their applications to problems across the Nuclear Engineering department. Stochastic and deterministic simulation techniques will be introduced to the students.

Subjects

Neutron Interaction | Neutron Interaction | Neutron Elastic Scattering: Thermal Motion | Neutron Elastic Scattering: Thermal Motion | Chemical Binding Effects | Chemical Binding Effects | Particle Simulations I | Particle Simulations I | Monte Carlo Basics Monte Carlo in Statistical Physics and Radiation Transport | Monte Carlo Basics Monte Carlo in Statistical Physics and Radiation Transport | The Neutron Transport Equation | The Neutron Transport Equation | Neutron Slowing Down | Neutron Slowing Down | Neutron Diffusion | Neutron Diffusion | Particle Simulation Methods | Particle Simulation Methods | Basic Molecular Dynamics | Basic Molecular Dynamics | Direct Simulation of Melting | Direct Simulation of Melting | Multiscale Materials Modeling | Multiscale Materials Modeling | Thermal Neutron Scattering | Thermal Neutron Scattering | Dynamic Structure Factor in Neutron Inelastic Scattering | Dynamic Structure Factor in Neutron Inelastic Scattering

License

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Economic Applications (Recursive Methods) (MIT) Economic Applications (Recursive Methods) (MIT)

Description

The unifying theme of this course is best captured by the title of our main reference book: "Recursive Methods in Economic Dynamics". We start by covering deterministic and stochastic dynamic optimization using dynamic programming analysis. We then study the properties of the resulting dynamic systems. Finally, we will go over a recursive method for repeated games that has proven useful in contract theory and macroeconomics. We shall stress applications and examples of all these techniques throughout the course. The unifying theme of this course is best captured by the title of our main reference book: "Recursive Methods in Economic Dynamics". We start by covering deterministic and stochastic dynamic optimization using dynamic programming analysis. We then study the properties of the resulting dynamic systems. Finally, we will go over a recursive method for repeated games that has proven useful in contract theory and macroeconomics. We shall stress applications and examples of all these techniques throughout the course.

Subjects

Recursive Methods | Recursive Methods | Economic Dynamics | Economic Dynamics | deterministic dynamic optimization | deterministic dynamic optimization | stochastic dynamic optimization | stochastic dynamic optimization | dynamic programming analysis | dynamic programming analysis | Dynamic systems | Dynamic systems | Repeated games | Repeated games | Macroeconomics | Macroeconomics

License

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18.336 Numerical Methods of Applied Mathematics II (MIT) 18.336 Numerical Methods of Applied Mathematics II (MIT)

Description

This graduate-level course is an advanced introduction to applications and theory of numerical methods for solution of differential equations. In particular, the course focuses on physically-arising partial differential equations, with emphasis on the fundamental ideas underlying various methods. This graduate-level course is an advanced introduction to applications and theory of numerical methods for solution of differential equations. In particular, the course focuses on physically-arising partial differential equations, with emphasis on the fundamental ideas underlying various methods.

Subjects

Linear systems | Linear systems | Fast Fourier Transform | Fast Fourier Transform | Wave equation | Wave equation | Von Neumann analysis | Von Neumann analysis | Conditions for stability | Conditions for stability | Dissipation | Dissipation | Multistep schemes | Multistep schemes | Dispersion | Dispersion | Group Velocity | Group Velocity | Propagation of Wave Packets | Propagation of Wave Packets | Parabolic Equations | Parabolic Equations | The Du Fort Frankel Scheme | The Du Fort Frankel Scheme | Convection-Diffusion equation | Convection-Diffusion equation | ADI Methods | ADI Methods | Elliptic Equations | Elliptic Equations | Jacobi | Gauss-Seidel and SOR(w) | Jacobi | Gauss-Seidel and SOR(w) | ODEs | ODEs | finite differences | finite differences | spectral methods | spectral methods | well-posedness and stability | well-posedness and stability | boundary and nonlinear instabilities | boundary and nonlinear instabilities | Finite Difference Schemes | Finite Difference Schemes | Partial Differential Equations | Partial Differential Equations

License

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.htm

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10.34 Numerical Methods Applied to Chemical Engineering (MIT) 10.34 Numerical Methods Applied to Chemical Engineering (MIT)

Description

This course focuses on the use of modern computational and mathematical techniques in chemical engineering. Starting from a discussion of linear systems as the basic computational unit in scientific computing, methods for solving sets of nonlinear algebraic equations, ordinary differential equations, and differential-algebraic (DAE) systems are presented. Probability theory and its use in physical modeling is covered, as is the statistical analysis of data and parameter estimation. The finite difference and finite element techniques are presented for converting the partial differential equations obtained from transport phenomena to DAE systems. The use of these techniques will be demonstrated throughout the course in the Matlab® computing environment. This course focuses on the use of modern computational and mathematical techniques in chemical engineering. Starting from a discussion of linear systems as the basic computational unit in scientific computing, methods for solving sets of nonlinear algebraic equations, ordinary differential equations, and differential-algebraic (DAE) systems are presented. Probability theory and its use in physical modeling is covered, as is the statistical analysis of data and parameter estimation. The finite difference and finite element techniques are presented for converting the partial differential equations obtained from transport phenomena to DAE systems. The use of these techniques will be demonstrated throughout the course in the Matlab® computing environment.

Subjects

Numerical Methods Applied to Chemical Engineering | Numerical Methods Applied to Chemical Engineering | Navier-Stokes | Navier-Stokes | partial differential equations | partial differential equations | nonlinear algebraic equations | nonlinear algebraic equations | numerical linear algebra | numerical linear algebra

License

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21H.931 Seminar in Historical Methods (MIT) 21H.931 Seminar in Historical Methods (MIT)

Description

Includes audio/video content: AV selected lectures. This course is designed to acquaint students with a variety of approaches to the past used by historians writing in the twentieth century. The books we read have all made significant contributions to their respective sub-fields and have been selected to give as wide a coverage in both field and methodology as possible in one semester's worth of reading. We examine how historians conceive of their object of study, how they use primary sources as a basis for their accounts, how they structure the narrative and analytic discussion of their topic, and what are the advantages and drawbacks of their various approaches. Includes audio/video content: AV selected lectures. This course is designed to acquaint students with a variety of approaches to the past used by historians writing in the twentieth century. The books we read have all made significant contributions to their respective sub-fields and have been selected to give as wide a coverage in both field and methodology as possible in one semester's worth of reading. We examine how historians conceive of their object of study, how they use primary sources as a basis for their accounts, how they structure the narrative and analytic discussion of their topic, and what are the advantages and drawbacks of their various approaches.

Subjects

History | History | Historical | Historical | Methods | Methods | Sources | Sources | Narrative | Narrative | Analytic | Analytic | writing methods | writing methods | historians | historians | annales | annales | gender | gender | middle ages | middle ages | fantasy | fantasy | environment | environment | demography | demography | culture | culture

License

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Rethinking Social Capital

Description

Dr. Small (University of Chicago) presents his mixed-methods work on child care centers and their roles on social capital building for mothers. Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Subjects

Child Care Centers | Social Capital | Unanticipated Gains | Mixed Methods | Child Care Centers | Social Capital | Unanticipated Gains | Mixed Methods

License

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Programming in Java Language Programming in Java Language

Description

The course on Programming provides an introduction to basic programming techniques and paradigms. Students will learn the foundamentals of structured, procedural and object-oriented programming in the Java programming language. The course on Programming provides an introduction to basic programming techniques and paradigms. Students will learn the foundamentals of structured, procedural and object-oriented programming in the Java programming language.

Subjects

Data and operators | Data and operators | Lenguajes y Sistemas Informaticos | Lenguajes y Sistemas Informaticos | Java | Java | Components of a program | Components of a program | Programming | Programming | Introduction to classes and objects | Introduction to classes and objects | Algorithms with arrays | Algorithms with arrays | Utility classes | Utility classes | Control flow statements | Control flow statements | a Informtica | a Informtica | 2011 | 2011 | Methods | Methods

License

Copyright 2015, UC3M http://creativecommons.org/licenses/by-nc-sa/4.0/

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18.336 Numerical Methods of Applied Mathematics II (MIT) 18.336 Numerical Methods of Applied Mathematics II (MIT)

Description

This graduate-level course is an advanced introduction to applications and theory of numerical methods for solution of differential equations. In particular, the course focuses on physically-arising partial differential equations, with emphasis on the fundamental ideas underlying various methods.Technical RequirementsMATLAB® software is required to run the .m files found on this course site. This graduate-level course is an advanced introduction to applications and theory of numerical methods for solution of differential equations. In particular, the course focuses on physically-arising partial differential equations, with emphasis on the fundamental ideas underlying various methods.Technical RequirementsMATLAB® software is required to run the .m files found on this course site.

Subjects

Linear systems | Linear systems | Fast Fourier Transform | Fast Fourier Transform | Wave equation | Wave equation | Von Neumann analysis | Von Neumann analysis | Conditions for stability | Conditions for stability | Dissipation | Dissipation | Multistep schemes | Multistep schemes | Dispersion | Dispersion | Group Velocity | Group Velocity | Propagation of Wave Packets | Propagation of Wave Packets | Parabolic Equations | Parabolic Equations | The Du Fort Frankel Scheme | The Du Fort Frankel Scheme | Convection-Diffusion equation | Convection-Diffusion equation | ADI Methods | ADI Methods | Elliptic Equations | Elliptic Equations | Jacobi | Gauss-Seidel and SOR(w) | Jacobi | Gauss-Seidel and SOR(w) | ODEs | ODEs | finite differences | finite differences | spectral methods | spectral methods | well-posedness and stability | well-posedness and stability | boundary and nonlinear instabilities | boundary and nonlinear instabilities | Finite Difference Schemes | Finite Difference Schemes | Partial Differential Equations | Partial Differential Equations

License

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.htm

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anza del Ingls: Historia, enfoques y mtodos (2012) anza del Ingls: Historia, enfoques y mtodos (2012)

Description

Esta asignatura tiene como objetivo presentar, crtica y analticamente, una panormica histrica de los mtodos utilizados en la enseanza de lenguas extranjeras para jvenes y adultos, especialmente aplicados al ingls. Mientras que el estudio de conceptos y cuestiones generales en torno a la enseanza y aprendizaje ser breve hasta el siglo XIX, a partir de este siglo se analizarn con ms detalle los principales mtodos utilizados. La exposicin terica/informativa de los distintos mtodos tratar las implicaciones tericas y prcticas en la utilizacin de uno u otro mtodo en la enseanza del ingls como lengua extranjera, e ir acompaada siempre de su aplicacin prctica a muestras reales (clases audiovisuales y/o materiales escritos). Dicha aplicacin se Esta asignatura tiene como objetivo presentar, crtica y analticamente, una panormica histrica de los mtodos utilizados en la enseanza de lenguas extranjeras para jvenes y adultos, especialmente aplicados al ingls. Mientras que el estudio de conceptos y cuestiones generales en torno a la enseanza y aprendizaje ser breve hasta el siglo XIX, a partir de este siglo se analizarn con ms detalle los principales mtodos utilizados. La exposicin terica/informativa de los distintos mtodos tratar las implicaciones tericas y prcticas en la utilizacin de uno u otro mtodo en la enseanza del ingls como lengua extranjera, e ir acompaada siempre de su aplicacin prctica a muestras reales (clases audiovisuales y/o materiales escritos). Dicha aplicacin se

Subjects

Methods | Methods | a Inglesa | a Inglesa | Approaches | Approaches | Language teaching | Language teaching | ELT | ELT | History | History

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English Language Teaching: History, Approaches and Methods (2012) English Language Teaching: History, Approaches and Methods (2012)

Description

This course aims to present a critical and analytical historical overview of the methods used in teaching foreign languages to young students and adults, especially as applied to English Language Teaching (ELT). While the study of concepts and general issues around teaching and learning will be brief until the 19th century, from this century onwards the main methods used will be analysed in more detail. The theoretical/informative presentation of methods addresses the theoretical and practical implications in the use of each method in ELT, and will always be accompanied by its practical application to real situations (audiovisual classes and / or written materials). This application will be made from the point of view of (i) teaching materials developed by each method, and (ii) their appli This course aims to present a critical and analytical historical overview of the methods used in teaching foreign languages to young students and adults, especially as applied to English Language Teaching (ELT). While the study of concepts and general issues around teaching and learning will be brief until the 19th century, from this century onwards the main methods used will be analysed in more detail. The theoretical/informative presentation of methods addresses the theoretical and practical implications in the use of each method in ELT, and will always be accompanied by its practical application to real situations (audiovisual classes and / or written materials). This application will be made from the point of view of (i) teaching materials developed by each method, and (ii) their appli

Subjects

Methods | Methods | a Inglesa | a Inglesa | Approaches | Approaches | Language teaching | Language teaching | ELT | ELT | History | History

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Realist Review: Mixing Method

Description

This talk will introduce the realist review methodology as a strategy for combining qualitative and quantitative data to answer the question ?what works, for whom, and in what circumstances? This methodology is proving popular in addressing questions around complex and social interventions. The talk will provide a brief overview of approaches to synthesizing qualitative and quantitative research for mixed methods reviews, discuss approaches to dealing with different study types in realist reviews, and question the adequacy of published studies when developing theory for complex interventions. Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Subjects

Mixed Methods | CEBM | Mixed Methods | CEBM

License

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The Evolution of Legislation: a Bioinformatics Approach The Evolution of Legislation: a Bioinformatics Approach

Description

About thirty major pieces of government legislation are produced annually in the UK. As there are five main opportunities to amend each bill (two stages in the Commons and three in the Lords) and bills may undergo hundreds, even thousands, of amendments, comprehensive quantitative analysis of legislative changes is almost impossible by manual methods. We used insights from bioinformatics to develop a semi-automatic procedure to map the changes in successive versions the text of a bill as it passes through parliament. This novel tool for scholars of the parliamentary process could be used, for example, to compare amendment patterns over time, ... About thirty major pieces of government legislation are produced annually in the UK. As there are five main opportunities to amend each bill (two stages in the Commons and three in the Lords) and bills may undergo hundreds, even thousands, of amendments, comprehensive quantitative analysis of legislative changes is almost impossible by manual methods. We used insights from bioinformatics to develop a semi-automatic procedure to map the changes in successive versions the text of a bill as it passes through parliament. This novel tool for scholars of the parliamentary process could be used, for example, to compare amendment patterns over time, ...

Subjects

Advances in Political Science Methods | Advances in Political Science Methods | Special Series | Special Series

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t vote this time”: How to improve electoral surveys t vote this time”: How to improve electoral surveys

Description

How can we improve the quality of post-election survey data on electoral turnout? That is the core question of our recent paper. We present a novel way to question citizens about their voting behaviour that increases the truthfulness of responses. Our research finds that the inclusion of “face-saving” response items can drastically improve the accuracy of reported turnout. Usually, the turnout reported in post-election surveys is much higher than in reality, and this is partly due to actual abstainers pretending that they have voted. Why do they lie? In many countries, voting is a social norm widely shared by the ... How can we improve the quality of post-election survey data on electoral turnout? That is the core question of our recent paper. We present a novel way to question citizens about their voting behaviour that increases the truthfulness of responses. Our research finds that the inclusion of “face-saving” response items can drastically improve the accuracy of reported turnout. Usually, the turnout reported in post-election surveys is much higher than in reality, and this is partly due to actual abstainers pretending that they have voted. Why do they lie? In many countries, voting is a social norm widely shared by the ...

Subjects

Advances in Political Science Methods | Advances in Political Science Methods | Elections | Elections | surveys | surveys | turnout | turnout

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What Big Data can teach political scientists What Big Data can teach political scientists

Description

Big Data is now a buzzword in the political science field. Some might call this hype. Others see unlocking the power of “Big Data” as the most significant transformation in research this century. In the world of research, Big Data seems to be living up to its promise. And the results include a wave of new and inspiring projects.   What is Big Data? Big data is not simply research that uses a large set of observations. It might be thought of as re-imagining large-n inquiries, dealing with hundreds of thousands, and, in some cases, even millions of observations. Big ... The post What Big Data can teach political scientists appeared first on OxPol. Big Data is now a buzzword in the political science field. Some might call this hype. Others see unlocking the power of “Big Data” as the most significant transformation in research this century. In the world of research, Big Data seems to be living up to its promise. And the results include a wave of new and inspiring projects.   What is Big Data? Big data is not simply research that uses a large set of observations. It might be thought of as re-imagining large-n inquiries, dealing with hundreds of thousands, and, in some cases, even millions of observations. Big ... The post What Big Data can teach political scientists appeared first on OxPol.

Subjects

Advances in Political Science Methods | Advances in Political Science Methods | Big Data | Big Data

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Words that matter: What text analysis can tell us about the third presidential debate Words that matter: What text analysis can tell us about the third presidential debate

Description

The final Presidential debate of 2016 was as heated as the previous two—well demonstrated by the following name-calling exchange: CLINTON: ...[Putin would] rather have a puppet as president of the United States. TRUMP: No puppet. No puppet. CLINTON: And it's pretty clear... TRUMP: You're the puppet! CLINTON: It's pretty clear you won't admit ... TRUMP: No, you're the puppet. It is easy to form our opinions of the debate and on the differences between the Presidential candidates on excerpts like this and memorable one-liners. But are small extracts representative of the debate as a whole? Moreover, how can we objectively analyse ... The final Presidential debate of 2016 was as heated as the previous two—well demonstrated by the following name-calling exchange: CLINTON: ...[Putin would] rather have a puppet as president of the United States. TRUMP: No puppet. No puppet. CLINTON: And it's pretty clear... TRUMP: You're the puppet! CLINTON: It's pretty clear you won't admit ... TRUMP: No, you're the puppet. It is easy to form our opinions of the debate and on the differences between the Presidential candidates on excerpts like this and memorable one-liners. But are small extracts representative of the debate as a whole? Moreover, how can we objectively analyse ...

Subjects

Advances in Political Science Methods | Advances in Political Science Methods | USA Decides 2016 | USA Decides 2016 | Clinton | Clinton | debate | debate | text analysis | text analysis | Trump | Trump | US Elections | US Elections

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22.106 Neutron Interactions and Applications (MIT) 22.106 Neutron Interactions and Applications (MIT)

Description

This course is a foundational study of the effects of single and multiple interactions on neutron distributions and their applications to problems across the Nuclear Engineering department - fission, fusion, and RST. Particle simulation methods are introduced to deal with complex processes that cannot be studied only experimentally or by numerical solutions of equations. Treatment will emphasize basic concepts and understanding, as well as showing the underlying scientific connections with current research areas. This course is a foundational study of the effects of single and multiple interactions on neutron distributions and their applications to problems across the Nuclear Engineering department - fission, fusion, and RST. Particle simulation methods are introduced to deal with complex processes that cannot be studied only experimentally or by numerical solutions of equations. Treatment will emphasize basic concepts and understanding, as well as showing the underlying scientific connections with current research areas.

Subjects

Neutron Interaction | Neutron Interaction | Neutron Elastic Scattering: Thermal Motion | Neutron Elastic Scattering: Thermal Motion | Chemical Binding Effects | Chemical Binding Effects | Particle Simulations I | Particle Simulations I | Monte Carlo Basics Monte Carlo in Statistical Physics and Radiation Transport | Monte Carlo Basics Monte Carlo in Statistical Physics and Radiation Transport | The Neutron Transport Equation | The Neutron Transport Equation | Neutron Slowing Down | Neutron Slowing Down | Neutron Diffusion | Neutron Diffusion | Particle Simulation Methods | Particle Simulation Methods | Basic Molecular Dynamics | Basic Molecular Dynamics | Direct Simulation of Melting | Direct Simulation of Melting | Multiscale Materials Modeling | Multiscale Materials Modeling | Thermal Neutron Scattering | Thermal Neutron Scattering | Dynamic Structure Factor in Neutron Inelastic Scattering | Dynamic Structure Factor in Neutron Inelastic Scattering

License

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.htm

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Data for Policy: Data Science and Big Data in the Public Sector Data for Policy: Data Science and Big Data in the Public Sector

Description

How can big data and data science help policy-making? This question has recently gained increasing attention. Both the European Commission and the White House have endorsed the use of data for evidence-based policy making. Still, a gap remains between theory and practice. In this blog post, I make a number of recommendations for systematic development paths. Research trends shaping Data for Policy ‘Data for policy’ as an academic field is still in its infancy. A typology of the field’s foci and research areas are summarised in the figure below.     Besides the ‘data for policy’ community, there are two ... How can big data and data science help policy-making? This question has recently gained increasing attention. Both the European Commission and the White House have endorsed the use of data for evidence-based policy making. Still, a gap remains between theory and practice. In this blog post, I make a number of recommendations for systematic development paths. Research trends shaping Data for Policy ‘Data for policy’ as an academic field is still in its infancy. A typology of the field’s foci and research areas are summarised in the figure below.     Besides the ‘data for policy’ community, there are two ...

Subjects

Advances in Political Science Methods | Advances in Political Science Methods | Special Series | Special Series | e-government | e-government

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A new forecasting method for the Brexit referendum A new forecasting method for the Brexit referendum

Description

Is it possible to have a more accurate prediction by asking people how confident they are that their preferred choice will win the day? As the Brexit referendum date approaches, the uncertainty regarding its outcome is increasing. And, so are concerns about the precision of the polls. The forecasts are, once again, suggesting a very close result. Ever since the general election of May 2015, criticism against pollsters has been rampant. They have been accused of complacency, herding, of making sampling errors, and even of deliberate manipulation of their results. The UK is hardly the only country where pollsters are ... Is it possible to have a more accurate prediction by asking people how confident they are that their preferred choice will win the day? As the Brexit referendum date approaches, the uncertainty regarding its outcome is increasing. And, so are concerns about the precision of the polls. The forecasts are, once again, suggesting a very close result. Ever since the general election of May 2015, criticism against pollsters has been rampant. They have been accused of complacency, herding, of making sampling errors, and even of deliberate manipulation of their results. The UK is hardly the only country where pollsters are ...

Subjects

Advances in Political Science Methods | Advances in Political Science Methods | Brexit | Brexit

License

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Receiving Telephone Calls

Description

View the resource online at: http://uhi-edu.co.uk/hbp/HBPshowcase2/resources/PBL%2036/index.html

Subjects

ILRforSkills | Business | Administration | Business Administration | Problem Based Learning | PBL | Communication | Communication Methods | Telephone | Receiving a Phone Call

License

Attribution 4.0 International Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/

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16.225 Computational Mechanics of Materials (MIT)

Description

16.225 is a graduate level course on Computational Mechanics of Materials. The primary focus of this course is on the teaching of state-of-the-art numerical methods for the analysis of the nonlinear continuum response of materials. The range of material behavior considered in this course includes: linear and finite deformation elasticity, inelasticity and dynamics. Numerical formulation and algorithms include: variational formulation and variational constitutive updates, finite element discretization, error estimation, constrained problems, time integration algorithms and convergence analysis. There is a strong emphasis on the (parallel) computer implementation of algorithms in programming assignments. The application to real engineering applications and problems in engineering science is

Subjects

Computational Mechanics | Computation | Mechanics | Materials | Numerical Methods | Numerical | Nonlinear Continuum Response | Continuum | Deformation | Elasticity | Inelasticity | Dynamics | Variational Formulation | Variational Constitutive Updates | Finite Element | Discretization | Error Estimation | Constrained Problems | Time Integration | Convergence Analysis | Programming | Continuum Response | Computational | state-of-the-art | methods | modeling | simulation | mechanical | response | engineering | aerospace | civil | material | science | biomechanics | behavior | finite | deformation | elasticity | inelasticity | contact | friction | coupled | numerical | formulation | algorithms | Variational | constitutive | updates | element | discretization | mesh | generation | error | estimation | constrained | problems | time | convergence | analysis | parallel | computer | implementation | programming | assembly | equation-solving | formulating | implementing | complex | approximations | equations | motion | dynamic | deformations | continua | plasticity | rate-dependency | integration

License

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.htm

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21H.931 Seminar in Historical Methods (MIT)

Description

This course is designed to acquaint students with a variety of approaches to the past used by historians writing in the twentieth century. The books we read have all made significant contributions to their respective sub-fields and have been selected to give as wide a coverage in both field and methodology as possible in one semester's worth of reading. We examine how historians conceive of their object of study, how they use primary sources as a basis for their accounts, how they structure the narrative and analytic discussion of their topic, and what are the advantages and drawbacks of their various approaches.

Subjects

History | Historical | Methods | Sources | Narrative | Analytic | writing methods | historians | annales | gender | middle ages | fantasy | environment | demography | culture

License

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.htm

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Estimating the Effect of Feature Selection in Computational Text Analysis

Description

Below, I discuss and analyse pre-processing decisions in relation to an often-used application of text analysis: scaling. Here, I?ll be using a new tool, calledpreText(for R statistical software), to investigate the potential effect of different pre-processing options on our estimates. Replication material for this postmay be found on my GitHub page. Feature Selection and Scaling Scaling algorithms rely on the bag-of-words (BoW) assumption, i.e. the idea that we can reduce text to individual words and sample them independently from a ?bag? and still get some meaningful insights from the relative distribution of words across a corpus. For the demonstration below, ...

Subjects

Advances in Political Science Methods | Feature selection | text analysis

License

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Economic Applications (Recursive Methods) (MIT)

Description

The unifying theme of this course is best captured by the title of our main reference book: "Recursive Methods in Economic Dynamics". We start by covering deterministic and stochastic dynamic optimization using dynamic programming analysis. We then study the properties of the resulting dynamic systems. Finally, we will go over a recursive method for repeated games that has proven useful in contract theory and macroeconomics. We shall stress applications and examples of all these techniques throughout the course.

Subjects

Recursive Methods | Economic Dynamics | deterministic dynamic optimization | stochastic dynamic optimization | dynamic programming analysis | Dynamic systems | Repeated games | Macroeconomics

License

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.htm

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DK1G35 Community Learning and Development: Social Science Approaches

Description

This pack contains the Tutor’s Support Pack and SQA Descriptor for this unit. This Unit is designed to familiarise you with the main sociological theories used to assist in the understanding of societies. An understanding of the theories will enable you to look at communities and to apply social science approaches to evaluate issues faced by communities. You will also be introduced to a variety of research methods which you will be required to apply to your community/ies in order to produce a clear outline of the community/ies and the issues faced by them. These research methods will provide you with useful skills which you will be able to apply in professional and personal capacities. Outcomes In order to successfully complete Outcome 1 of this Unit you will be required to produce an op

Subjects

DK1G 35 | Sociology | Community | Key Sociological Theories | Systematic | Coherent | Feminism | Marxism | Functionalism | Social Action Theory | Research Methods | Data Collection | Research Methodologies | Researching Human Subjects | E: Politics/Economics/Law/Social Sciences | POLITICS / ECONOMICS / LAW / SOCIAL SCIENCES | SCQF Level 8

License

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 COLEG’s Repository, 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 COLEG’s Repository, 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 COLEG

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