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ESD.864 Systems Modeling and Assessment for Policy (MIT) ESD.864 Systems Modeling and Assessment for Policy (MIT)

Description

This course explores how scientific information can be used to inform policy decision-making processes through the use of quantitative modeling techniques. It incorporates both hands-on analysis and practice using models as well as evaluation of the use and effectiveness of models in decision-making. The course assesses the full spectrum of model complexity from simple box model calculations to complex, global systems models. Issues addressed include scientific assessment processes; integrated assessment modeling; model frameworks; and scenarios. Examples focus on models and information used for earth system governance, with selected examples from other areas of application. This course explores how scientific information can be used to inform policy decision-making processes through the use of quantitative modeling techniques. It incorporates both hands-on analysis and practice using models as well as evaluation of the use and effectiveness of models in decision-making. The course assesses the full spectrum of model complexity from simple box model calculations to complex, global systems models. Issues addressed include scientific assessment processes; integrated assessment modeling; model frameworks; and scenarios. Examples focus on models and information used for earth system governance, with selected examples from other areas of application.

Subjects

scientific assessment process | scientific assessment process | integrated assessment modeling | integrated assessment modeling | model frameworks | model frameworks | systems modeling | systems modeling | policy-analysis techniques | policy-analysis techniques | climate change | climate change

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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13.49 Maneuvering and Control of Surface and Underwater Vehicles (MIT) 13.49 Maneuvering and Control of Surface and Underwater Vehicles (MIT)

Description

This course is about maneuvering motions of surface and underwater vehicles. Topics covered include: derivation of equations of motion, hydrodynamic coefficients, memory effects, linear and nonlinear forms of the equations of motion, control surfaces modeling and design, engine, propulsor, and transmission systems modeling and simulation during maneuvering. The course also deals with stability of motion, principles of multivariable automatic control, optimal control, Kalman filtering, and loop transfer recovery. We will also explore applications chosen from autopilots for surface vehicles; towing in open seas; and remotely operated vehicles. This course is about maneuvering motions of surface and underwater vehicles. Topics covered include: derivation of equations of motion, hydrodynamic coefficients, memory effects, linear and nonlinear forms of the equations of motion, control surfaces modeling and design, engine, propulsor, and transmission systems modeling and simulation during maneuvering. The course also deals with stability of motion, principles of multivariable automatic control, optimal control, Kalman filtering, and loop transfer recovery. We will also explore applications chosen from autopilots for surface vehicles; towing in open seas; and remotely operated vehicles.

Subjects

Maneuvering | Maneuvering | motion | motion | surface and underwater vehicles | surface and underwater vehicles | Derivation of equations of motion | Derivation of equations of motion | hydrodynamic coefficients | hydrodynamic coefficients | Memory effects | Memory effects | Linear and nonlinear forms | Linear and nonlinear forms | Control surfaces | Control surfaces | modeling and design | modeling and design | Engine | Engine | propulsor | propulsor | transmission systems modeling | transmission systems modeling | simulation | simulation | Stability of motion | Stability of motion | multivariable automatic control | multivariable automatic control | Optimal control | Optimal control | Kalman filtering | Kalman filtering | loop transfer recovery | loop transfer recovery | autopilots for surface vehicles | autopilots for surface vehicles | towing in open seas | towing in open seas | remotely operated vehicles | remotely operated vehicles | 2.154 | 2.154

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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2.154 Maneuvering and Control of Surface and Underwater Vehicles (13.49) (MIT) 2.154 Maneuvering and Control of Surface and Underwater Vehicles (13.49) (MIT)

Description

This course is about maneuvering motions of surface and underwater vehicles. Topics covered include: derivation of equations of motion, hydrodynamic coefficients, memory effects, linear and nonlinear forms of the equations of motion, control surfaces modeling and design, engine, propulsor, and transmission systems modeling and simulation during maneuvering. The course also deals with stability of motion, principles of multivariable automatic control, optimal control, Kalman filtering, and loop transfer recovery. We will also explore applications chosen from autopilots for surface vehicles; towing in open seas; and remotely operated vehicles. This course was originally offered in Course 13 (Department of Ocean Engineering) as 13.49. In 2005, ocean engineering subjects became part of Co This course is about maneuvering motions of surface and underwater vehicles. Topics covered include: derivation of equations of motion, hydrodynamic coefficients, memory effects, linear and nonlinear forms of the equations of motion, control surfaces modeling and design, engine, propulsor, and transmission systems modeling and simulation during maneuvering. The course also deals with stability of motion, principles of multivariable automatic control, optimal control, Kalman filtering, and loop transfer recovery. We will also explore applications chosen from autopilots for surface vehicles; towing in open seas; and remotely operated vehicles. This course was originally offered in Course 13 (Department of Ocean Engineering) as 13.49. In 2005, ocean engineering subjects became part of Co

Subjects

Maneuvering | Maneuvering | motion | motion | surface and underwater vehicles | surface and underwater vehicles | Derivation of equations of motion | Derivation of equations of motion | hydrodynamic coefficients | hydrodynamic coefficients | Memory effects | Memory effects | Linear and nonlinear forms | Linear and nonlinear forms | Control surfaces | Control surfaces | modeling and design | modeling and design | Engine | Engine | propulsor | propulsor | transmission systems modeling | transmission systems modeling | simulation | simulation | Stability of motion | Stability of motion | multivariable automatic control | multivariable automatic control | Optimal control | Optimal control | Kalman filtering | Kalman filtering | loop transfer recovery | loop transfer recovery | autopilots for surface vehicles | autopilots for surface vehicles | towing in open seas | towing in open seas | remotely operated vehicles | remotely operated vehicles

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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Readme file for Real-Time Embedded Systems

Description

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

Subjects

ukoer | complete rate monotonic scheduling lecture | complete rate monotonic scheduling | complete rating monotonic scheduling lecture | complex rms scheduling lecture | complex rms scheduling | complex scheduling lecture | concurrency and determinism lecture | concurrency and determinism | concurrency lecture | concurrency | cyclic executives lecture | cyclic executives | cyclic scheduling lecture | cyclic scheduling | deadline monotonic scheduling lecture | deadline monotonic scheduling | determinism lecture | determinism | embedded real-time scheduling lecture | embedded real-time scheduling | embedded software development lecture | embedded software development practical | embedded software development quiz | embedded software development | embedded system lecture | embedded system modelling | embedded system | embedded systems lecture | embedded systems modeling lecture | embedded systems modeling quiz | embedded systems modelling lecture | embedded systems modelling quiz | embedded systems modelling | embedded systems | es chararcteristics | inter task communication lecture | inter task communication practical | inter task communication quiz | inter task communication | inter task communications lecture | inter task communications practical | inter task communications quiz | inter-task communications lecture | inter-task communications practical | inter-task communications quiz | inter-task communications | memory management lecture | memory management quiz | memory management | multi-tasking lecture | multi-tasking practical | multi-tasking quiz | multi-tasking | processing interrupts lecture | processing interrupts quiz | processing interrupts | real time embedded system quiz | real-time embedded system lecture | real-time embedded system practical | real-time embedded system quiz | real-time embedded system | real-time embedded systems lecture | real-time embedded systems practical | real-time embedded systems quiz | real-time embedded systems revision lecture | real-time embedded systems revision | real-time embedded systems | real-time operating system lecture | real-time operating system practical | real-time operating system quiz | real-time operating system | real-time operating systems lecture | real-time operating systems practical | real-time operating systems quiz | real-time operating systems | rtes lecture | rtes practical | rtes quiz | rtes | scheduling strategies lecture | scheduling strategies | scheduling strategy lecture | scheduling strategy | simple rate monotonic scheduling lecture | simple rate monotonic scheduling | simple real time system structure | simple real-time system structure lecture | es characteristics 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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ESD.864 Modeling and Assessment for Policy (MIT) ESD.864 Modeling and Assessment for Policy (MIT)

Description

ESD.864 Modeling and Assessment for Policy explores how scientific information and quantitative models can be used to inform policy decision-making. Students will develop an understanding of quantitative modeling techniques and their role in the policy process through case studies and interactive activities. The course addresses issues such as analysis of scientific assessment processes, uses of integrated assessment models, public perception of quantitative information, methods for dealing with uncertainties, and design choices in building policy-relevant models. Examples used in this class focus on models and information used in earth system governance. ESD.864 Modeling and Assessment for Policy explores how scientific information and quantitative models can be used to inform policy decision-making. Students will develop an understanding of quantitative modeling techniques and their role in the policy process through case studies and interactive activities. The course addresses issues such as analysis of scientific assessment processes, uses of integrated assessment models, public perception of quantitative information, methods for dealing with uncertainties, and design choices in building policy-relevant models. Examples used in this class focus on models and information used in earth system governance.

Subjects

policy | policy | modeling | modeling | NASA | NASA | economics | economics | memo | memo | oil spill | oil spill | clean air | clean air | sports statistics | sports statistics | breast cancer | breast cancer | scientific assessment process | scientific assessment process | integrated assessment modeling | integrated assessment modeling | model frameworks | model frameworks | systems modeling | systems modeling | policy-analysis techniques | policy-analysis techniques | science policy | science policy | risk assessment | risk assessment | adaptive management | adaptive management

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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ESD.864 Modeling and Assessment for Policy (MIT) ESD.864 Modeling and Assessment for Policy (MIT)

Description

ESD.864 Modeling and Assessment for Policy explores how scientific information and quantitative models can be used to inform policy decision-making. Students will develop an understanding of quantitative modeling techniques and their role in the policy process through case studies and interactive activities. The course addresses issues such as analysis of scientific assessment processes, uses of integrated assessment models, public perception of quantitative information, methods for dealing with uncertainties, and design choices in building policy-relevant models. Examples used in this class focus on models and information used in earth system governance. ESD.864 Modeling and Assessment for Policy explores how scientific information and quantitative models can be used to inform policy decision-making. Students will develop an understanding of quantitative modeling techniques and their role in the policy process through case studies and interactive activities. The course addresses issues such as analysis of scientific assessment processes, uses of integrated assessment models, public perception of quantitative information, methods for dealing with uncertainties, and design choices in building policy-relevant models. Examples used in this class focus on models and information used in earth system governance.

Subjects

scientific assessment process | scientific assessment process | integrated assessment modeling | integrated assessment modeling | model frameworks | model frameworks | systems modeling | systems modeling | policy-analysis techniques | policy-analysis techniques | science policy | science policy | risk assessment | risk assessment | adaptive management | adaptive management

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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ESD.864 Modeling and Assessment for Policy (MIT)

Description

ESD.864 Modeling and Assessment for Policy explores how scientific information and quantitative models can be used to inform policy decision-making. Students will develop an understanding of quantitative modeling techniques and their role in the policy process through case studies and interactive activities. The course addresses issues such as analysis of scientific assessment processes, uses of integrated assessment models, public perception of quantitative information, methods for dealing with uncertainties, and design choices in building policy-relevant models. Examples used in this class focus on models and information used in earth system governance.

Subjects

scientific assessment process | integrated assessment modeling | model frameworks | systems modeling | policy-analysis techniques | science policy | risk assessment | adaptive management

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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Real-Time Embedded Systems - Embedded systems modelling

Description

This lecture forms part of the "Embedded systems modelling" topic in the Real-Time Embedded Systems module.

Subjects

ukoer | embedded systems modeling lecture | embedded systems modelling | real-time embedded systems | real-time embedded system | rtes | embedded system modelling | embedded systems modelling lecture | real-time embedded systems lecture | real-time embedded system lecture | rtes 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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Real-Time Embedded Systems - Embedded systems modelling

Description

This quiz forms part of the "Embedded systems modelling" topic in the Real-Time Embedded Systems module.

Subjects

ukoer | embedded systems modeling quiz | embedded systems modelling | real-time embedded systems | real-time embedded system | rtes | embedded system modelling | embedded systems modelling quiz | real-time embedded systems quiz | real-time embedded system quiz | real time embedded system quiz | rtes quiz | 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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Real-Time Embedded Systems - Embedded systems modelling

Description

This quiz forms part of the "Embedded systems modelling" topic in the Real-Time Embedded Systems module.

Subjects

ukoer | embedded systems modeling quiz | embedded systems modelling | real-time embedded systems | real-time embedded system | rtes | embedded system modelling | embedded systems modelling quiz | real-time embedded systems quiz | real-time embedded system quiz | real time embedded system quiz | rtes quiz | 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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ESD.864 Modeling and Assessment for Policy (MIT)

Description

ESD.864 Modeling and Assessment for Policy explores how scientific information and quantitative models can be used to inform policy decision-making. Students will develop an understanding of quantitative modeling techniques and their role in the policy process through case studies and interactive activities. The course addresses issues such as analysis of scientific assessment processes, uses of integrated assessment models, public perception of quantitative information, methods for dealing with uncertainties, and design choices in building policy-relevant models. Examples used in this class focus on models and information used in earth system governance.

Subjects

scientific assessment process | integrated assessment modeling | model frameworks | systems modeling | policy-analysis techniques | science policy | risk assessment | adaptive management

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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ESD.864 Systems Modeling and Assessment for Policy (MIT)

Description

This course explores how scientific information can be used to inform policy decision-making processes through the use of quantitative modeling techniques. It incorporates both hands-on analysis and practice using models as well as evaluation of the use and effectiveness of models in decision-making. The course assesses the full spectrum of model complexity from simple box model calculations to complex, global systems models. Issues addressed include scientific assessment processes; integrated assessment modeling; model frameworks; and scenarios. Examples focus on models and information used for earth system governance, with selected examples from other areas of application.

Subjects

scientific assessment process | integrated assessment modeling | model frameworks | systems modeling | policy-analysis techniques | climate change

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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13.49 Maneuvering and Control of Surface and Underwater Vehicles (MIT)

Description

This course is about maneuvering motions of surface and underwater vehicles. Topics covered include: derivation of equations of motion, hydrodynamic coefficients, memory effects, linear and nonlinear forms of the equations of motion, control surfaces modeling and design, engine, propulsor, and transmission systems modeling and simulation during maneuvering. The course also deals with stability of motion, principles of multivariable automatic control, optimal control, Kalman filtering, and loop transfer recovery. We will also explore applications chosen from autopilots for surface vehicles; towing in open seas; and remotely operated vehicles.

Subjects

Maneuvering | motion | surface and underwater vehicles | Derivation of equations of motion | hydrodynamic coefficients | Memory effects | Linear and nonlinear forms | Control surfaces | modeling and design | Engine | propulsor | transmission systems modeling | simulation | Stability of motion | multivariable automatic control | Optimal control | Kalman filtering | loop transfer recovery | autopilots for surface vehicles | towing in open seas | remotely operated vehicles | 2.154

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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2.154 Maneuvering and Control of Surface and Underwater Vehicles (13.49) (MIT)

Description

This course is about maneuvering motions of surface and underwater vehicles. Topics covered include: derivation of equations of motion, hydrodynamic coefficients, memory effects, linear and nonlinear forms of the equations of motion, control surfaces modeling and design, engine, propulsor, and transmission systems modeling and simulation during maneuvering. The course also deals with stability of motion, principles of multivariable automatic control, optimal control, Kalman filtering, and loop transfer recovery. We will also explore applications chosen from autopilots for surface vehicles; towing in open seas; and remotely operated vehicles. This course was originally offered in Course 13 (Department of Ocean Engineering) as 13.49. In 2005, ocean engineering subjects became part of Co

Subjects

Maneuvering | motion | surface and underwater vehicles | Derivation of equations of motion | hydrodynamic coefficients | Memory effects | Linear and nonlinear forms | Control surfaces | modeling and design | Engine | propulsor | transmission systems modeling | simulation | Stability of motion | multivariable automatic control | Optimal control | Kalman filtering | loop transfer recovery | autopilots for surface vehicles | towing in open seas | remotely operated vehicles

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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ESD.864 Modeling and Assessment for Policy (MIT)

Description

ESD.864 Modeling and Assessment for Policy explores how scientific information and quantitative models can be used to inform policy decision-making. Students will develop an understanding of quantitative modeling techniques and their role in the policy process through case studies and interactive activities. The course addresses issues such as analysis of scientific assessment processes, uses of integrated assessment models, public perception of quantitative information, methods for dealing with uncertainties, and design choices in building policy-relevant models. Examples used in this class focus on models and information used in earth system governance.

Subjects

policy | modeling | NASA | economics | memo | oil spill | clean air | sports statistics | breast cancer | scientific assessment process | integrated assessment modeling | model frameworks | systems modeling | policy-analysis techniques | science policy | risk assessment | adaptive management

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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