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12.950 Atmospheric and Oceanic Modeling (MIT) 12.950 Atmospheric and Oceanic Modeling (MIT)

Description

The numerical methods, formulation and parameterizations used in models of the circulation of the atmosphere and ocean will be described in detail. Widely used numerical methods will be the focus but we will also review emerging concepts and new methods. The numerics underlying a hierarchy of models will be discussed, ranging from simple GFD models to the high-end GCMs. In the context of ocean GCMs, we will describe parameterization of geostrophic eddies, mixing and the surface and bottom boundary layers. In the atmosphere, we will review parameterizations of convection and large scale condensation, the planetary boundary layer and radiative transfer. The numerical methods, formulation and parameterizations used in models of the circulation of the atmosphere and ocean will be described in detail. Widely used numerical methods will be the focus but we will also review emerging concepts and new methods. The numerics underlying a hierarchy of models will be discussed, ranging from simple GFD models to the high-end GCMs. In the context of ocean GCMs, we will describe parameterization of geostrophic eddies, mixing and the surface and bottom boundary layers. In the atmosphere, we will review parameterizations of convection and large scale condensation, the planetary boundary layer and radiative transfer.

Subjects

numerical methods | numerical methods | formulation | formulation | parameterizations | parameterizations | models of the circulation of the atmosphere and ocean | models of the circulation of the atmosphere and ocean | numerics underlying a hierarchy of models | numerics underlying a hierarchy of models | simple GFD models | simple GFD models | high-end GCMs | high-end GCMs | ocean GCMs | ocean GCMs | parameterization of geostrophic eddies | parameterization of geostrophic eddies | mixing | mixing | surface and bottom boundary layers | surface and bottom boundary layers | atmosphere | atmosphere | parameterizations of convection | parameterizations of convection | large scale condensation | large scale condensation | planetary boundary layer | planetary boundary layer | radiative transfer | radiative transfer | finite difference method | finite difference method | Spatial discretization | Spatial discretization | numerical dispersion | numerical dispersion | Series expansion | Series expansion | Time-stepping | Time-stepping | Space-time discretization | Space-time discretization | Shallow water dynamics | Shallow water dynamics | Barotropic models | Barotropic models | Quasi-geostrophic equations | Quasi-geostrophic equations | Quasi-geostrophic models | Quasi-geostrophic models | Eddy parameterization | Eddy parameterization | Vertical coordinates | Vertical coordinates | primitive equations | primitive equations | Boundary layer parameterizations | Boundary layer parameterizations

License

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9.675 The Development of Object and Face Recognition (MIT) 9.675 The Development of Object and Face Recognition (MIT)

Description

This course takes a 'back to the beginning' view that aims to better understand the end result. What might be the developmental processes that lead to the organization of 'booming, buzzing confusions' into coherent visual objects? This course examines key experimental results and computational proposals pertinent to the discovery of objects in complex visual inputs. The structure of the course is designed to get students to learn and to focus on the genre of study as a whole; to get a feel for how science is done in this field. This course takes a 'back to the beginning' view that aims to better understand the end result. What might be the developmental processes that lead to the organization of 'booming, buzzing confusions' into coherent visual objects? This course examines key experimental results and computational proposals pertinent to the discovery of objects in complex visual inputs. The structure of the course is designed to get students to learn and to focus on the genre of study as a whole; to get a feel for how science is done in this field.

Subjects

computational theories of human cognition | computational theories of human cognition | principles of inductive learning and inference | principles of inductive learning and inference | representation of knowledge | representation of knowledge | computational frameworks | computational frameworks | Bayesian models | Bayesian models | hierarchical Bayesian models | hierarchical Bayesian models | probabilistic graphical models | probabilistic graphical models | nonparametric statistical models | nonparametric statistical models | Bayesian Occam's razor | Bayesian Occam's razor | sampling algorithms for approximate learning and inference | sampling algorithms for approximate learning and inference | probabilistic models defined over structured representations such as first-order logic | probabilistic models defined over structured representations such as first-order logic | grammars | grammars | relational schemas | relational schemas | core aspects of cognition | core aspects of cognition | concept learning | concept learning | concept categorization | concept categorization | causal reasoning | causal reasoning | theory formation | theory formation | language acquisition | language acquisition | social inference | social inference

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14.461 Advanced Macroeconomics I (MIT) 14.461 Advanced Macroeconomics I (MIT)

Description

This course covers three sets of topics. The first part will cover business cycle models with imperfect information. We will ask questions such as: What shocks drive business cycles? What is the relative role of shocks to fundamentals and shocks affecting expectations about (current and future) economic developments? How do informational frictions affect the shape of the responses to various shocks? The second part will cover models of investment with credit constraints. We will ask questions such as: What is the transmission mechanism from shocks to the financial sector to the real economy? What determines optimal decisions about capitalization at the individual and at the social level? The third part will cover search models of decentralized trade applied both to labor markets and to This course covers three sets of topics. The first part will cover business cycle models with imperfect information. We will ask questions such as: What shocks drive business cycles? What is the relative role of shocks to fundamentals and shocks affecting expectations about (current and future) economic developments? How do informational frictions affect the shape of the responses to various shocks? The second part will cover models of investment with credit constraints. We will ask questions such as: What is the transmission mechanism from shocks to the financial sector to the real economy? What determines optimal decisions about capitalization at the individual and at the social level? The third part will cover search models of decentralized trade applied both to labor markets and to

Subjects

news about the future and fluctuations | news about the future and fluctuations | dispersed information | dispersed information | estimating models with imperfect information | estimating models with imperfect information | models with limited pledgeability | models with limited pledgeability | models with corporate control problems | models with corporate control problems | models with intermediation and securitization | models with intermediation and securitization | financial frictions | financial frictions | investment | investment | labor market search and inefficiency | labor market search and inefficiency | wage dispersion | wage dispersion | moral hazard | moral hazard | optimal unemployment insurance | optimal unemployment insurance | money search | money search | liquidity | liquidity | adverse selection and lemons problem | adverse selection and lemons problem | decentralized trading in financial markets | decentralized trading in financial markets

License

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14.386 New Econometric Methods (MIT) 14.386 New Econometric Methods (MIT)

Description

This course focuses on recent developments in econometrics, especially structural estimation. The topics include nonseparable models, models of imperfect competition, auction models, duration models, and nonlinear panel data. Results are illustrated with economic applications. This course focuses on recent developments in econometrics, especially structural estimation. The topics include nonseparable models, models of imperfect competition, auction models, duration models, and nonlinear panel data. Results are illustrated with economic applications.

Subjects

econometrics | econometrics | recent developments | recent developments | structural estimation | structural estimation | nonseparable models | nonseparable models | models of imperfect competition | models of imperfect competition | auction models | auction models | duration models | duration models | and nonlinear panel data | and nonlinear panel data | economic applications | economic applications

License

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6.857 Network and Computer Security (MIT) 6.857 Network and Computer Security (MIT)

Description

6.857 is an upper-level undergraduate, first-year graduate course on network and computer security. It fits within the department's Computer Systems and Architecture Engineering concentration. Topics covered include (but are not limited to) the following: Techniques for achieving security in multi-user computer systems and distributed computer systems; Cryptography: secret-key, public-key, digital signatures; Authentication and identification schemes; Intrusion detection: viruses; Formal models of computer security; Secure operating systems; Software protection; Security of electronic mail and the World Wide Web; Electronic commerce: payment protocols, electronic cash; Firewalls; and Risk assessment. 6.857 is an upper-level undergraduate, first-year graduate course on network and computer security. It fits within the department's Computer Systems and Architecture Engineering concentration. Topics covered include (but are not limited to) the following: Techniques for achieving security in multi-user computer systems and distributed computer systems; Cryptography: secret-key, public-key, digital signatures; Authentication and identification schemes; Intrusion detection: viruses; Formal models of computer security; Secure operating systems; Software protection; Security of electronic mail and the World Wide Web; Electronic commerce: payment protocols, electronic cash; Firewalls; and Risk assessment.

Subjects

network | network | computer security | computer security | security | security | cryptography | cryptography | secret-key | secret-key | public-key | public-key | digital signature | digital signature | authentication | authentication | identification | identification | intrusion detection | intrusion detection | virus | virus | operating system | operating system | software | software | protection | protection | electronic mail | electronic mail | email | email | electronic commerce | electronic commerce | electronic cash | electronic cash | firewall | firewall | computer | computer | digital | digital | signature | signature | electronic | electronic | cash | cash | commerce | commerce | mail | mail | operating | operating | system | system | intrustion | intrustion | detection | detection | distributed | distributed | physical | physical | discretionary | discretionary | mandatory | mandatory | access | access | control | control | biometrics | biometrics | information | information | flow | flow | models | models | covert | covert | channels | channels | integrity | integrity | logic | logic | voting | voting | risk | risk | assessment | assessment | secure | secure | web | web | browsers | browsers | architecture | architecture | engineering | engineering | certificates | certificates | multi-user computer systems | multi-user computer systems | distributed computer systems | distributed computer systems | physical security | physical security | discretionary access control | discretionary access control | mandatory access control | mandatory access control | information-flow models | information-flow models | covert channels | covert channels | integrity models | integrity models | elementary cryptography | elementary cryptography | authentication logic;electronic cash | authentication logic;electronic cash | viruses | viruses | firewalls | firewalls | electronic voting | electronic voting | risk assessment | risk assessment | secure web browsers | secure web browsers | network security | network security | architecture engineering | architecture engineering | digital signatures | digital signatures | authentication schemes | authentication schemes | identification schemes | identification schemes | formal models | formal models | secure operating systems | secure operating systems | software protection | software protection | electronic mail security | electronic mail security | World Wide Web | World Wide Web | ecommerce | ecommerce | email security | email security | www | www | payment protocols | payment protocols | authentication logic | authentication logic

License

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17.812J Collective Choice I (MIT) 17.812J Collective Choice I (MIT)

Description

This is an applied theory course covering topics in the political economy of democratic countries. This course examines political institutions from a rational choice perspective. The now burgeoning rational choice literature on legislatures, bureaucracies, courts, and elections constitutes the chief focus. Some focus will be placed on institutions from a comparative and/or international perspective. This is an applied theory course covering topics in the political economy of democratic countries. This course examines political institutions from a rational choice perspective. The now burgeoning rational choice literature on legislatures, bureaucracies, courts, and elections constitutes the chief focus. Some focus will be placed on institutions from a comparative and/or international perspective.

Subjects

political economy | political economy | rational choice | rational choice | legislature | legislature | bureaucracy | bureaucracy | court | court | and elections | and elections | electoral competition | electoral competition | comparative | comparative | international | international | public goods | public goods | government | government | taxation | taxation | income redistribution | income redistribution | macroeconomic policy | macroeconomic policy | multiparty competition | multiparty competition | electoral system | electoral system | voter | voter | agency models | agency models | models of political parties | models of political parties | point-valued solution | point-valued solution | set-valued solution | set-valued solution | probabilistic voting models | probabilistic voting models | structure-induced equilibrium models | structure-induced equilibrium models | vote-buying | vote-buying | vote-trading | vote-trading | Colonel Blotto | Colonel Blotto | minorities | minorities | interest groups | interest groups | lobbying | lobbying | bargaining | bargaining | coalitions | coalitions | government stability | government stability | informational theory | informational theory | distributive theory | distributive theory | legislative-executive relations | legislative-executive relations | representative democracy | representative democracy | direct democracy | direct democracy

License

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Database Systems - Entity-Relationship Models

Description

This zip file contains a Powerpoint lecture and audio files for the "Entity-Relationship Models" topic in the Database Systems module.

Subjects

ukoer | database lecture | databases lecture | database system lecture | er models lecture | entity-relationship model lecture | entity relationship models lecture | entity-relationship models lecture | entity-relationship models | entity-relationship model | entity relationship models | entity relationship model | er models | er model | database systems | database system | databases | database | database systems lecture | er model lecture | entity relationship model lecture | Computer science | I100

License

Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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22.611J Introduction to Plasma Physics I (MIT) 22.611J Introduction to Plasma Physics I (MIT)

Description

In this course, students will learn about plasmas, the fourth state of matter. The plasma state dominates the visible universe, and is of increasing economic importance. Plasmas behave in lots of interesting and sometimes unexpected ways. The course is intended only as a first plasma physics course, but includes critical concepts needed for a foundation for further study. A solid undergraduate background in classical physics, electromagnetic theory including Maxwell's equations, and mathematical familiarity with partial differential equations and complex analysis are prerequisites. The course introduces plasma phenomena relevant to energy generation by controlled thermonuclear fusion and to astrophysics, coulomb collisions and transport processes, motion of charged particles in magne In this course, students will learn about plasmas, the fourth state of matter. The plasma state dominates the visible universe, and is of increasing economic importance. Plasmas behave in lots of interesting and sometimes unexpected ways. The course is intended only as a first plasma physics course, but includes critical concepts needed for a foundation for further study. A solid undergraduate background in classical physics, electromagnetic theory including Maxwell's equations, and mathematical familiarity with partial differential equations and complex analysis are prerequisites. The course introduces plasma phenomena relevant to energy generation by controlled thermonuclear fusion and to astrophysics, coulomb collisions and transport processes, motion of charged particles in magne

Subjects

plasma phenomena | plasma phenomena | energy generation | energy generation | controlled thermonuclear fusion | controlled thermonuclear fusion | astrophysics | astrophysics | Coulomb collisions | Coulomb collisions | transport processes | transport processes | charged particles | charged particles | magnetic fields | magnetic fields | plasma confinement schemes | plasma confinement schemes | MHD models | MHD models | simple equilibrium | simple equilibrium | stability analysis | stability analysis | Two-fluid hydrodynamic plasma models | Two-fluid hydrodynamic plasma models | wave propagation | wave propagation | kinetic theory | kinetic theory | Vlasov plasma model | Vlasov plasma model | electron plasma waves | electron plasma waves | Landau damping | Landau damping | ion-acoustic waves | ion-acoustic waves | streaming instabilities | streaming instabilities | fourth state of matter | fourth state of matter | plasma state | plasma state | visible universe | visible universe | economics | economics | plasmas | plasmas | motion of charged particles | motion of charged particles | two-fluid hydrodynamic plasma models | two-fluid hydrodynamic plasma models | Debye Shielding | Debye Shielding | collective effects | collective effects | charged particle motion | charged particle motion | EM Fields | EM Fields | cross-sections | cross-sections | relaxation | relaxation | fluid plasma descriptions | fluid plasma descriptions | MHD equilibrium | MHD equilibrium | MHD dynamics | MHD dynamics | dynamics in two-fluid plasmas | dynamics in two-fluid plasmas | cold plasma waves | cold plasma waves | magnetic field | magnetic field | microscopic to fluid plasma descriptions | microscopic to fluid plasma descriptions | Vlasov-Maxwell kinetic theory.linear Landau growth | Vlasov-Maxwell kinetic theory.linear Landau growth | kinetic description of waves | kinetic description of waves | instabilities | instabilities | Vlasov-Maxwell kinetic theory | Vlasov-Maxwell kinetic theory | linear Landau growth | linear Landau growth | 22.611 | 22.611 | 6.651 | 6.651 | 8.613 | 8.613

License

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15.348 Doctoral Seminar in Research Methods II (MIT) 15.348 Doctoral Seminar in Research Methods II (MIT)

Description

A large proportion of contemporary research on organizations, strategy and management relies on quantitative research methods. This course is designed to provide an introduction to some of the most commonly used quantitative techniques, including logit/probit models, count models, event history models, and pooled cross-section techniques. A large proportion of contemporary research on organizations, strategy and management relies on quantitative research methods. This course is designed to provide an introduction to some of the most commonly used quantitative techniques, including logit/probit models, count models, event history models, and pooled cross-section techniques.

Subjects

contemporary research on organizations | contemporary research on organizations | strategy and management | strategy and management | quantitative research methods | quantitative research methods | quantitative techniques | quantitative techniques | including logit/probit models | including logit/probit models | count models | count models | event history models | event history models | pooled cross-section techniques | pooled cross-section techniques

License

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8.591J Systems Biology (MIT) 8.591J Systems Biology (MIT)

Description

This course introduces the mathematical modeling techniques needed to address key questions in modern biology. An overview of modeling techniques in molecular biology and genetics, cell biology and developmental biology is covered. Key experiments that validate mathematical models are also discussed, as well as molecular, cellular, and developmental systems biology, bacterial chemotaxis, genetic oscillators, control theory and genetic networks, and gradient sensing systems. Additional specific topics include: constructing and modeling of genetic networks, lambda phage as a genetic switch, synthetic genetic switches, circadian rhythms, reaction diffusion equations, local activation and global inhibition models, center finding networks, general pattern formation models, modeling cell-cell co This course introduces the mathematical modeling techniques needed to address key questions in modern biology. An overview of modeling techniques in molecular biology and genetics, cell biology and developmental biology is covered. Key experiments that validate mathematical models are also discussed, as well as molecular, cellular, and developmental systems biology, bacterial chemotaxis, genetic oscillators, control theory and genetic networks, and gradient sensing systems. Additional specific topics include: constructing and modeling of genetic networks, lambda phage as a genetic switch, synthetic genetic switches, circadian rhythms, reaction diffusion equations, local activation and global inhibition models, center finding networks, general pattern formation models, modeling cell-cell co

Subjects

molecular systems biology | molecular systems biology | constructing and modeling of genetic networks | constructing and modeling of genetic networks | control theory and genetic networks | control theory and genetic networks | ambda phage as a genetic switch | ambda phage as a genetic switch | synthetic genetic switches | synthetic genetic switches | bacterial chemotaxis | bacterial chemotaxis | genetic oscillators | genetic oscillators | circadian rhythms | circadian rhythms | cellular systems biology | cellular systems biology | reaction diffusion equations | reaction diffusion equations | local activation and global inhibition models | local activation and global inhibition models | gradient sensing systems | gradient sensing systems | center finding networks | center finding networks | developmental systems biology | developmental systems biology | general pattern formation models | general pattern formation models | modeling cell-cell communication | modeling cell-cell communication | quorum sensing | quorum sensing | models for Drosophilia development | models for Drosophilia development | 8.591 | 8.591 | 7.81 | 7.81

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Astrophysics (MIT) Astrophysics (MIT)

Description

Includes audio/video content: AV selected lectures. Study of physical effects in the vicinity of a black hole as a basis for understanding general relativity, astrophysics, and elements of cosmology. Extension to current developments in theory and observation. Energy and momentum in flat spacetime; the metric; curvature of spacetime near rotating and nonrotating centers of attraction; trajectories and orbits of particles and light; elementary models of the Cosmos. Weekly meetings include an evening seminar and recitation. The last third of the semester is reserved for collaborative research projects on topics such as the Global Positioning System, solar system tests of relativity, descending into a black hole, gravitational lensing, gravitational waves, Gravity Probe B, and more advanced Includes audio/video content: AV selected lectures. Study of physical effects in the vicinity of a black hole as a basis for understanding general relativity, astrophysics, and elements of cosmology. Extension to current developments in theory and observation. Energy and momentum in flat spacetime; the metric; curvature of spacetime near rotating and nonrotating centers of attraction; trajectories and orbits of particles and light; elementary models of the Cosmos. Weekly meetings include an evening seminar and recitation. The last third of the semester is reserved for collaborative research projects on topics such as the Global Positioning System, solar system tests of relativity, descending into a black hole, gravitational lensing, gravitational waves, Gravity Probe B, and more advanced

Subjects

black hole | black hole | general relativity | general relativity | astrophysics | astrophysics | cosmology | cosmology | Energy and momentum in flat spacetime | Energy and momentum in flat spacetime | the metric | the metric | curvature of spacetime near rotating and nonrotating centers of attraction | curvature of spacetime near rotating and nonrotating centers of attraction | trajectories and orbits of particles and light | trajectories and orbits of particles and light | elementary models of the Cosmos | elementary models of the Cosmos | Global Positioning System | Global Positioning System | solar system tests of relativity | solar system tests of relativity | descending into a black hole | descending into a black hole | gravitational lensing | gravitational lensing | gravitational waves | gravitational waves | Gravity Probe B | Gravity Probe B | more advanced models of the Cosmos | more advanced models of the Cosmos | spacetime curvature | spacetime curvature | rotating centers of attraction | rotating centers of attraction | nonrotating centers of attraction | nonrotating centers of attraction | event horizon | event horizon | energy | energy | momentum | momentum | flat spacetime | flat spacetime | metric | metric | trajectories | trajectories | orbits | orbits | particles | particles | light | light | elementary | elementary | models | models | cosmos | cosmos | spacetime | spacetime | curvature | curvature | flat | flat | GPS | GPS | gravitational | gravitational | lensing | lensing | waves | waves | rotating | rotating | nonrotating | nonrotating | centers | centers | attraction | attraction | solar system | solar system | tests | tests | relativity | relativity | general | general | advanced | advanced

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6.831 User Interface Design and Implementation (MIT) 6.831 User Interface Design and Implementation (MIT)

Description

6.831 introduces the principles of user interface development, focusing on three key areas: Design: How to design good user interfaces, starting with human capabilities (including the human information processor model, perception, motor skills, color, attention, and errors) and using those capabilities to drive design techniques: task analysis, user-centered design, iterative design, usability guidelines, interaction styles, and graphic design principles. Implementation: Techniques for building user interfaces, including low-fidelity prototypes, Wizard of Oz, and other prototyping tools; input models, output models, model-view-controller, layout, constraints, and toolkits. Evaluation: Techniques for evaluating and measuring interface usability, including heuristic evaluation, predicti 6.831 introduces the principles of user interface development, focusing on three key areas: Design: How to design good user interfaces, starting with human capabilities (including the human information processor model, perception, motor skills, color, attention, and errors) and using those capabilities to drive design techniques: task analysis, user-centered design, iterative design, usability guidelines, interaction styles, and graphic design principles. Implementation: Techniques for building user interfaces, including low-fidelity prototypes, Wizard of Oz, and other prototyping tools; input models, output models, model-view-controller, layout, constraints, and toolkits. Evaluation: Techniques for evaluating and measuring interface usability, including heuristic evaluation, predicti

Subjects

human-computer interfaces | human-computer interfaces | human capabilities | human capabilities | human information processor | human information processor | perception | perception | Fitts's Law | Fitts's Law | color | color | hearing | hearing | task analysis | task analysis | user-centered design | user-centered design | iterative design | iterative design | low-fidelity prototyping | low-fidelity prototyping | heuristic evaluation | heuristic evaluation | keystroke-level models | keystroke-level models | formative evaluation | formative evaluation | input models | input models | output models | output models | model-view-controller | model-view-controller | toolkits | toolkits | programming project | programming project | GUI | GUI | Java | Java

License

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1.203J Logistical and Transportation Planning Methods (MIT) 1.203J Logistical and Transportation Planning Methods (MIT)

Description

The class will cover quantitative techniques of Operations Research with emphasis on applications in transportation systems analysis (urban, air, ocean, highway, pick-up and delivery systems) and in the planning and design of logistically oriented urban service systems (e.g., fire and police departments, emergency medical services, emergency repair services). It presents a unified study of functions of random variables, geometrical probability, multi-server queueing theory, spatial location theory, network analysis and graph theory, and relevant methods of simulation. There will be discussion focused on the difficulty of implementation, among other topics. The class will cover quantitative techniques of Operations Research with emphasis on applications in transportation systems analysis (urban, air, ocean, highway, pick-up and delivery systems) and in the planning and design of logistically oriented urban service systems (e.g., fire and police departments, emergency medical services, emergency repair services). It presents a unified study of functions of random variables, geometrical probability, multi-server queueing theory, spatial location theory, network analysis and graph theory, and relevant methods of simulation. There will be discussion focused on the difficulty of implementation, among other topics.

Subjects

1.203 | 1.203 | 6.281 | 6.281 | 15.073 | 15.073 | 16.76 | 16.76 | ESD.216 | ESD.216 | logistics | logistics | transportation | transportation | hypercube models | hypercube models | barrier example | barrier example | operations research | operations research | spatial queues | spatial queues | queueing models | queueing models | network models | network models | TSP | TSP | heuristics | heuristics | geometrical probabilities | geometrical probabilities | Markov | Markov | quantitative techniques | quantitative techniques | transportation systems analysis | transportation systems analysis | urban service systems | urban service systems | emergency services | emergency services | random variables | random variables | multi-server queueing theory | multi-server queueing theory | spatial location theory | spatial location theory | network analysis | network analysis | graph theory | graph theory | simulation | simulation | urban OR | urban OR

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HST.950J Biomedical Computing (MIT) HST.950J Biomedical Computing (MIT)

Description

Analyzes computational needs of clinical medicine reviews systems and approaches that have been used to support those needs, and the relationship between clinical data and gene and protein measurements. Topics: the nature of clinical data; architecture and design of healthcare information systems; privacy and security issues; medical expertsystems; introduction to bioinformatics. Case studies and guest lectures describe contemporary systems and research projects. Term project using large clinical and genomic data sets integrates classroom topics. Analyzes computational needs of clinical medicine reviews systems and approaches that have been used to support those needs, and the relationship between clinical data and gene and protein measurements. Topics: the nature of clinical data; architecture and design of healthcare information systems; privacy and security issues; medical expertsystems; introduction to bioinformatics. Case studies and guest lectures describe contemporary systems and research projects. Term project using large clinical and genomic data sets integrates classroom topics.

Subjects

HST.950 | HST.950 | medical informatics | medical informatics | bioinformatics | bioinformatics | developing countries | developing countries | medical data | medical data | clinical data | clinical data | probabilistic models | probabilistic models | graphical models | graphical models | information theory | information theory | decision support | decision support | expert systems | expert systems | personal health records | personal health records | bayesian networks | bayesian networks | bayesian models | bayesian models | health information systems | health information systems | public health informatics | public health informatics | predictive genomics | predictive genomics | patient data privacy | patient data privacy

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15.348 Doctoral Seminar in Research Methods II (MIT) 15.348 Doctoral Seminar in Research Methods II (MIT)

Description

A large proportion of contemporary research on organizations, strategy and management relies on quantitative research methods. This course is designed to provide an introduction to some of the most commonly used quantitative techniques, including logit/probit models, count models, event history models, and pooled cross-section techniques. A large proportion of contemporary research on organizations, strategy and management relies on quantitative research methods. This course is designed to provide an introduction to some of the most commonly used quantitative techniques, including logit/probit models, count models, event history models, and pooled cross-section techniques.

Subjects

contemporary research on organizations | contemporary research on organizations | strategy and management | strategy and management | quantitative research methods | quantitative research methods | quantitative techniques | quantitative techniques | including logit/probit models | including logit/probit models | count models | count models | event history models | event history models | pooled cross-section techniques | pooled cross-section techniques

License

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6.435 System Identification (MIT) 6.435 System Identification (MIT)

Description

This course is offered to graduates and includes topics such as mathematical models of systems from observations of their behavior; time series, state-space, and input-output models; model structures, parametrization, and identifiability; non-parametric methods; prediction error methods for parameter estimation, convergence, consistency, and asymptotic distribution; relations to maximum likelihood estimation; recursive estimation; relation to Kalman filters; structure determination; order estimation; Akaike criterion; bounded but unknown noise model; and robustness and practical issues. This course is offered to graduates and includes topics such as mathematical models of systems from observations of their behavior; time series, state-space, and input-output models; model structures, parametrization, and identifiability; non-parametric methods; prediction error methods for parameter estimation, convergence, consistency, and asymptotic distribution; relations to maximum likelihood estimation; recursive estimation; relation to Kalman filters; structure determination; order estimation; Akaike criterion; bounded but unknown noise model; and robustness and practical issues.

Subjects

mathematical models | mathematical models | time series | time series | state-space | state-space | input-output models | input-output models | model structures | model structures | parametrization | parametrization | identifiability | identifiability | non-parametric methods | non-parametric methods | prediction error | prediction error | parameter estimation | parameter estimation | convergence | convergence | consistency | consistency | andasymptotic distribution | andasymptotic distribution | maximum likelihood estimation | maximum likelihood estimation | recursive estimation | recursive estimation | Kalman filters | Kalman filters | structure determination | structure determination | order estimation | order estimation | Akaike criterion | Akaike criterion | bounded noise models | bounded noise models | robustness | robustness

License

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1.203J Logistical and Transportation Planning Methods (MIT) 1.203J Logistical and Transportation Planning Methods (MIT)

Description

The class will cover quantitative techniques of Operations Research with emphasis on applications in transportation systems analysis (urban, air, ocean, highway, pick-up and delivery systems) and in the planning and design of logistically oriented urban service systems (e.g., fire and police departments, emergency medical services, emergency repair services). It presents a unified study of functions of random variables, geometrical probability, multi-server queueing theory, spatial location theory, network analysis and graph theory, and relevant methods of simulation. There will be discussion focused on the difficulty of implementation, among other topics. The class will cover quantitative techniques of Operations Research with emphasis on applications in transportation systems analysis (urban, air, ocean, highway, pick-up and delivery systems) and in the planning and design of logistically oriented urban service systems (e.g., fire and police departments, emergency medical services, emergency repair services). It presents a unified study of functions of random variables, geometrical probability, multi-server queueing theory, spatial location theory, network analysis and graph theory, and relevant methods of simulation. There will be discussion focused on the difficulty of implementation, among other topics.

Subjects

logistics | logistics | transportation | transportation | hypercube models | hypercube models | barrier example | barrier example | operations research | operations research | spatial queues | spatial queues | queueing models | queueing models | network models | network models | TSP | TSP | heuristics | heuristics | geometrical probablities | geometrical probablities | Markov | Markov | 1.203 | 1.203 | 6.281 | 6.281 | 15.073 | 15.073 | 16.76 | 16.76 | ESD.216 | ESD.216

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6.881 Natural Language Processing (MIT) 6.881 Natural Language Processing (MIT)

Description

This course is a graduate level introduction to natural language processing, the primary concern of which is the study of human language from a computational perspective.The class will cover models at the level of syntactic, semantic and discourse processing. The emphasis will be on corpus-based methods and algorithms, such as Hidden Markov Models and probabilistic context free grammars. We will discuss the use of these methods and models in a variety of applications including syntactic parsing, information extraction, statistical machine translation, and summarization.This subject qualifies as an Artificial Intelligence and Applications concentration subject.Technical RequirementsFile decompression software, such as Winzip® or StuffIt®, is required to open the .gz and .tar This course is a graduate level introduction to natural language processing, the primary concern of which is the study of human language from a computational perspective.The class will cover models at the level of syntactic, semantic and discourse processing. The emphasis will be on corpus-based methods and algorithms, such as Hidden Markov Models and probabilistic context free grammars. We will discuss the use of these methods and models in a variety of applications including syntactic parsing, information extraction, statistical machine translation, and summarization.This subject qualifies as an Artificial Intelligence and Applications concentration subject.Technical RequirementsFile decompression software, such as Winzip® or StuffIt®, is required to open the .gz and .tar

Subjects

syntactic models | syntactic models | semantic models | semantic models | discourse processing models | discourse processing models | corpus-based methods | corpus-based methods | algorithms | algorithms | Hidden Markov Models | Hidden Markov Models | probabilistic context free grammars | probabilistic context free grammars | syntactic parsing | syntactic parsing | information extraction | information extraction | statistical machine translation | statistical machine translation | summarization | summarization

License

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1.225J Transportation Flow Systems (MIT) 1.225J Transportation Flow Systems (MIT)

Description

Design, operation, and management of traffic flows over complex transportation networks are the foci of this course. It covers two major topics: traffic flow modeling and traffic flow operations. Sub-topics include deterministic and probabilistic models, elements of queuing theory, and traffic assignment. Concepts are illustrated through various applications and case studies. This is a half-term subject offered during the second half of the semester. Design, operation, and management of traffic flows over complex transportation networks are the foci of this course. It covers two major topics: traffic flow modeling and traffic flow operations. Sub-topics include deterministic and probabilistic models, elements of queuing theory, and traffic assignment. Concepts are illustrated through various applications and case studies. This is a half-term subject offered during the second half of the semester.

Subjects

transportation | transportation | transportation flow systems | transportation flow systems | traffic | traffic | traffic flow | traffic flow | networks | networks | transportation networks | transportation networks | flow modeling | flow modeling | flow operations | flow operations | deteministic models | deteministic models | probabilistic models | probabilistic models | queuing theory | queuing theory | queues | queues | traffic assignment | traffic assignment | case studies | case studies | cumulative plots | cumulative plots | airport runway capacity | airport runway capacity | runway capacity | runway capacity | road traffic | road traffic | shortest paths | shortest paths | optimizations | optimizations | highway control | highway control | ramp metering | ramp metering | simulation models | simulation models | isolated signals | isolated signals | operations | operations | operational problems | operational problems | air traffic operation | air traffic operation | air | air | road | road | component | component | 1.225 | 1.225 | ESD.205 | ESD.205

License

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14.384 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

time series | time series | time series analysis | time series analysis | data sets | data sets | empirical research | empirical research | economics | economics | econometric | econometric | univariate stationary models | univariate stationary models | non-stationary models | non-stationary models | vector autoregressions | vector autoregressions | frequency domain methods | frequency domain methods | estimation | inference | estimation | inference | modern dynamic stochastic general equilibrium models | modern dynamic stochastic general equilibrium models | DGSE | DGSE | Maximum likelihood | Maximum likelihood | Bayesian | Bayesian

License

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17.884J Collective Choice I (MIT) 17.884J Collective Choice I (MIT)

Description

This is an applied theory course covering topics in the political economy of democratic countries. This course examines political institutions from a rational choice perspective. The now burgeoning rational choice literature on legislatures, bureaucracies, courts, and elections constitutes the chief focus. Some focus will be placed on institutions from a comparative and/or international perspective. This is an applied theory course covering topics in the political economy of democratic countries. This course examines political institutions from a rational choice perspective. The now burgeoning rational choice literature on legislatures, bureaucracies, courts, and elections constitutes the chief focus. Some focus will be placed on institutions from a comparative and/or international perspective.

Subjects

Political science | Political science | economics | economics | political economy | political economy | democratic | democratic | countries | countries | collective | collective | choice | choice | electoral competiton | electoral competiton | public goods | public goods | size | size | government | government | taxation | taxation | income redistribution | income redistribution | macroeconomic policy | macroeconomic policy | voting models | voting models | equilibrium models | equilibrium models | information | information | learning | learning | agency models | agency models | political parties | political parties | vote-buying | vote-buying | vote-trading | vote-trading | resource allocation | resource allocation | Colonel Blotto | Colonel Blotto | interest groups | interest groups | lobbying | lobbying | legislatures | legislatures | bargaining | bargaining | coalitions | coalitions | stability | stability | informational | informational | distributive | distributive | theories | theories | executive | executive | relations | relations | representative democracy | representative democracy

License

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Readme file for Database Systems

Description

This readme file contains details of links to all the Database Systems module's material held on Jorum and information about the module as well.

Subjects

database lecture | databases lecture | database system lecture | er models lecture | cardinality lecture | determinancy lecture | anomalies lecture | advanced database design reading material | client server lecture | uml lecture | unified modelling language lecture | ms sql server lecture | transaction lecture | pl/sql lecture | security lecture | object-relational databases | sql example | entity-relationship model lecture | entity relationship models lecture | object modeling lecture | entity-relationship models lecture | entity-relationship models | entity-relationship model | entity relationship models | entity relationship model | er models | er model | database systems | database system | databases | database | cardinality | determinancy | normalisation | normalization | anomalies | normalisation-anomalies | normalisation anomalies | normalization-anomalies | normalization anomalies | normalization anomaly | normalization-anomaly | normalisation 1st normal form | 1st normal form | first normal form | normalization 1st normal form | advanced database design | advanced databases design | advanced database | advanced databases | database design | unified modelling language | object modelling | ms sql server | pl/sql | distributed databases | security | database systems lecture | er model lecture | entity relationship model lecture | normalisation lecture | normalization lecture | normalisation-anomalies lecture | normalisation anomalies lecture | normalization-anomalies lecture | normalization anomalies lecture | normalization-anomaly lecture | normalization anomaly lecture | normalisation 1st normal form lecture | 1st normal form lecture | first normal form lecture | normalization 1st normal form lecture | advanced databases design reading material | advanced database reading material | advanced databases reading material | database design reading material | database systems reading material | database system reading material | databases reading material | database reading material | advanced database design lecture | advanced databases design lecture | advanced database lecture | advanced databases lecture | database design lecture | object modelling lecture | distributed databases lecture | object-relational databases lecture | advanced database design example | advanced databases design example | advanced database example | advanced databases example | database design example | database systems example | database system example | databases example | database example | uml | Computer science | I100

License

Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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9.675 The Development of Object and Face Recognition (MIT)

Description

This course takes a 'back to the beginning' view that aims to better understand the end result. What might be the developmental processes that lead to the organization of 'booming, buzzing confusions' into coherent visual objects? This course examines key experimental results and computational proposals pertinent to the discovery of objects in complex visual inputs. The structure of the course is designed to get students to learn and to focus on the genre of study as a whole; to get a feel for how science is done in this field.

Subjects

computational theories of human cognition | principles of inductive learning and inference | representation of knowledge | computational frameworks | Bayesian models | hierarchical Bayesian models | probabilistic graphical models | nonparametric statistical models | Bayesian Occam's razor | sampling algorithms for approximate learning and inference | probabilistic models defined over structured representations such as first-order logic | grammars | relational schemas | core aspects of cognition | concept learning | concept categorization | causal reasoning | theory formation | language acquisition | social inference

License

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12.950 Atmospheric and Oceanic Modeling (MIT)

Description

The numerical methods, formulation and parameterizations used in models of the circulation of the atmosphere and ocean will be described in detail. Widely used numerical methods will be the focus but we will also review emerging concepts and new methods. The numerics underlying a hierarchy of models will be discussed, ranging from simple GFD models to the high-end GCMs. In the context of ocean GCMs, we will describe parameterization of geostrophic eddies, mixing and the surface and bottom boundary layers. In the atmosphere, we will review parameterizations of convection and large scale condensation, the planetary boundary layer and radiative transfer.

Subjects

numerical methods | formulation | parameterizations | models of the circulation of the atmosphere and ocean | numerics underlying a hierarchy of models | simple GFD models | high-end GCMs | ocean GCMs | parameterization of geostrophic eddies | mixing | surface and bottom boundary layers | atmosphere | parameterizations of convection | large scale condensation | planetary boundary layer | radiative transfer | finite difference method | Spatial discretization | numerical dispersion | Series expansion | Time-stepping | Space-time discretization | Shallow water dynamics | Barotropic models | Quasi-geostrophic equations | Quasi-geostrophic models | Eddy parameterization | Vertical coordinates | primitive equations | Boundary layer parameterizations

License

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6.832 Underactuated Robotics (MIT) 6.832 Underactuated Robotics (MIT)

Description

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

Subjects

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

License

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