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1.223J Transportation Policy, Strategy, and Management (MIT) 1.223J Transportation Policy, Strategy, and Management (MIT)

Description

This class surveys the current concepts, theories, and issues in strategic management of transportation organizations. It provides transportation logistics and engineering systems students with an overview of the operating context, leadership challenges, strategies, and management tools that are used in today's public and private transportation organizations. The following concepts, tools, and issues are presented in both public and private sector cases: alternative models of decision-making, strategic planning (e.g., use of SWOT analysis and scenario development), stakeholder valuation and analysis, government-based regulation and cooperation within the transportation enterprise, disaster communications, systems safety, change management, and the impact of globalization. This class surveys the current concepts, theories, and issues in strategic management of transportation organizations. It provides transportation logistics and engineering systems students with an overview of the operating context, leadership challenges, strategies, and management tools that are used in today's public and private transportation organizations. The following concepts, tools, and issues are presented in both public and private sector cases: alternative models of decision-making, strategic planning (e.g., use of SWOT analysis and scenario development), stakeholder valuation and analysis, government-based regulation and cooperation within the transportation enterprise, disaster communications, systems safety, change management, and the impact of globalization.

Subjects

public transportation systems; pollution; infrastructure; government regulation; public policy; strategic planning management; labor relations; maintenance planning; administration; financing; marketing policy; fare policy; management information; decision support systems; transit industry; service provision; private sector; alternative models of decision-making; strategic planning; stakeholder valuation and analysis; government-based regulation and cooperation; transportation enterprise; disaster communications; systems safety; change management; and the impact of globalization; | public transportation systems; pollution; infrastructure; government regulation; public policy; strategic planning management; labor relations; maintenance planning; administration; financing; marketing policy; fare policy; management information; decision support systems; transit industry; service provision; private sector; alternative models of decision-making; strategic planning; stakeholder valuation and analysis; government-based regulation and cooperation; transportation enterprise; disaster communications; systems safety; change management; and the impact of globalization; | public transportation systems | public transportation systems | pollution | pollution | infrastructure | infrastructure | government regulation | government regulation | public policy | public policy | strategic planning management | strategic planning management | labor relations | labor relations | maintenance planning | maintenance planning | administration | administration | financing | financing | marketing policy | marketing policy | fare policy | fare policy | management information | management information | decision support systems | decision support systems | transit industry | transit industry | service provision | service provision | private sector | private sector | alternative models of decision-making | alternative models of decision-making | strategic planning | strategic planning | stakeholder valuation and analysis | stakeholder valuation and analysis | government-based regulation and cooperation | government-based regulation and cooperation | transportation enterprise | transportation enterprise | disaster communications | disaster communications | systems safety | systems safety | change management | change management | and the impact of globalization | and the impact of globalization | the impact of globalization | the impact of globalization | 1.223 | 1.223 | ESD.203 | ESD.203

License

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1.223J Transportation Policy, Strategy, and Management (MIT) 1.223J Transportation Policy, Strategy, and Management (MIT)

Description

This class surveys the current concepts, theories, and issues in strategic management of transportation organizations. It provides transportation logistics and engineering systems students with an overview of the operating context, leadership challenges, strategies, and management tools that are used in today's public and private transportation organizations. The following concepts, tools, and issues are presented in both public and private sector cases: alternative models of decision-making, strategic planning (e.g., use of SWOT analysis and scenario development), stakeholder valuation and analysis, government-based regulation and cooperation within the transportation enterprise, disaster communications, systems safety, change management, and the impact of globalization. This class surveys the current concepts, theories, and issues in strategic management of transportation organizations. It provides transportation logistics and engineering systems students with an overview of the operating context, leadership challenges, strategies, and management tools that are used in today's public and private transportation organizations. The following concepts, tools, and issues are presented in both public and private sector cases: alternative models of decision-making, strategic planning (e.g., use of SWOT analysis and scenario development), stakeholder valuation and analysis, government-based regulation and cooperation within the transportation enterprise, disaster communications, systems safety, change management, and the impact of globalization.

Subjects

public transportation systems; pollution; infrastructure; government regulation; public policy; strategic planning management; labor relations; maintenance planning; administration; financing; marketing policy; fare policy; management information; decision support systems; transit industry; service provision; private sector; alternative models of decision-making; strategic planning; stakeholder valuation and analysis; government-based regulation and cooperation; transportation enterprise; disaster communications; systems safety; change management; and the impact of globalization; | public transportation systems; pollution; infrastructure; government regulation; public policy; strategic planning management; labor relations; maintenance planning; administration; financing; marketing policy; fare policy; management information; decision support systems; transit industry; service provision; private sector; alternative models of decision-making; strategic planning; stakeholder valuation and analysis; government-based regulation and cooperation; transportation enterprise; disaster communications; systems safety; change management; and the impact of globalization; | public transportation systems | public transportation systems | pollution | pollution | infrastructure | infrastructure | government regulation | government regulation | public policy | public policy | strategic planning management | strategic planning management | labor relations | labor relations | maintenance planning | maintenance planning | administration | administration | financing | financing | marketing policy | marketing policy | fare policy | fare policy | management information | management information | decision support systems | decision support systems | transit industry | transit industry | service provision | service provision | private sector | private sector | alternative models of decision-making | alternative models of decision-making | strategic planning | strategic planning | stakeholder valuation and analysis | stakeholder valuation and analysis | government-based regulation and cooperation | government-based regulation and cooperation | transportation enterprise | transportation enterprise | disaster communications | disaster communications | systems safety | systems safety | change management | change management | and the impact of globalization | and the impact of globalization | the impact of globalization | the impact of globalization | 1.223 | 1.223 | ESD.203 | ESD.203

License

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1.223J Transportation Policy, Strategy, and Management (MIT)

Description

This class surveys the current concepts, theories, and issues in strategic management of transportation organizations. It provides transportation logistics and engineering systems students with an overview of the operating context, leadership challenges, strategies, and management tools that are used in today's public and private transportation organizations. The following concepts, tools, and issues are presented in both public and private sector cases: alternative models of decision-making, strategic planning (e.g., use of SWOT analysis and scenario development), stakeholder valuation and analysis, government-based regulation and cooperation within the transportation enterprise, disaster communications, systems safety, change management, and the impact of globalization.

Subjects

public transportation systems; pollution; infrastructure; government regulation; public policy; strategic planning management; labor relations; maintenance planning; administration; financing; marketing policy; fare policy; management information; decision support systems; transit industry; service provision; private sector; alternative models of decision-making; strategic planning; stakeholder valuation and analysis; government-based regulation and cooperation; transportation enterprise; disaster communications; systems safety; change management; and the impact of globalization; | public transportation systems | pollution | infrastructure | government regulation | public policy | strategic planning management | labor relations | maintenance planning | administration | financing | marketing policy | fare policy | management information | decision support systems | transit industry | service provision | private sector | alternative models of decision-making | strategic planning | stakeholder valuation and analysis | government-based regulation and cooperation | transportation enterprise | disaster communications | systems safety | change management | and the impact of globalization | the impact of globalization | 1.223 | ESD.203

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.S51 Systems Leadership and Management Praxis (MIT) ESD.S51 Systems Leadership and Management Praxis (MIT)

Description

SLaM (Systems Leadership and Management) Praxis is a course is designed to introduce students to the dynamics of strategic decision making in corporate boardrooms through team exercises, simulations, and role playing. The case studies and team exercises will introduce students to strategy choices in the high tech sector, but these learnings are just as valid in other industries. We will also have invited guest speakers from the industry who have lived through difficult corporate situations and can provide insights into the cases discussed in class. SLaM (Systems Leadership and Management) Praxis is a course is designed to introduce students to the dynamics of strategic decision making in corporate boardrooms through team exercises, simulations, and role playing. The case studies and team exercises will introduce students to strategy choices in the high tech sector, but these learnings are just as valid in other industries. We will also have invited guest speakers from the industry who have lived through difficult corporate situations and can provide insights into the cases discussed in class.

Subjects

decision-making | decision-making | leadership development | leadership development | high-tech business | high-tech business | smartphones | smartphones | management | management | high-tech competition | high-tech competition | Back Bay Battery online simulation | Back Bay Battery online simulation | Nokia | Nokia | HTC | HTC | Apple | Apple | Sony | Sony | Research in Motion | Research in Motion

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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MAS.630 Affective Computing (MIT) MAS.630 Affective Computing (MIT)

Description

This class explores computing that relates to, arises from, or deliberately influences emotion. Topics include the interaction of emotion with cognition and perception; the role of emotion in human-computer interaction; the communication of human emotion via face, voice, physiology, and behavior; construction of computers that have skills of emotional intelligence; the development of computers that "have" emotion; affective technologies for autism; and other areas of current research interest. Weekly reading, discussion, and a term project are required. This class explores computing that relates to, arises from, or deliberately influences emotion. Topics include the interaction of emotion with cognition and perception; the role of emotion in human-computer interaction; the communication of human emotion via face, voice, physiology, and behavior; construction of computers that have skills of emotional intelligence; the development of computers that "have" emotion; affective technologies for autism; and other areas of current research interest. Weekly reading, discussion, and a term project are required.

Subjects

neuroscience | neuroscience | emotion | emotion | perception | perception | decision-making | decision-making | creativity | creativity | autism | autism | learning | learning

License

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15.S50 Poker Theory and Analytics (MIT) 15.S50 Poker Theory and Analytics (MIT)

Description

Includes audio/video content: AV lectures. This course takes a broad-based look at poker theory and applications of poker analytics to investment management and trading.This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT in January. IAP provides members of the MIT community including students, faculty, staff, and alums with an opportunity to organize, sponsor and participate in a wide variety of activities and topics that are often outside of the regular MIT curriculum. Faculty Advisor: Paul Mende Includes audio/video content: AV lectures. This course takes a broad-based look at poker theory and applications of poker analytics to investment management and trading.This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT in January. IAP provides members of the MIT community including students, faculty, staff, and alums with an opportunity to organize, sponsor and participate in a wide variety of activities and topics that are often outside of the regular MIT curriculum. Faculty Advisor: Paul Mende

Subjects

poker | poker | poker theory | poker theory | poker analytics | poker analytics | investment management | investment management | trading | trading | strategy | strategy | tounament play | tounament play | poker psychology | poker psychology | decision-making | decision-making | gameplay | gameplay | pokerstars | pokerstars | wagering | wagering | analytical technique | analytical technique | pre-flop analysis | pre-flop analysis | economics | economics | no limit | no limit | Texas Hold’em | Texas Hold’em

License

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11.800 Doctoral Research Seminar: Knowledge in the Public Arena (MIT) 11.800 Doctoral Research Seminar: Knowledge in the Public Arena (MIT)

Description

This is a course about how research knowledge and other types of knowledge come to be actionable and influential in the world — or not. The course explores ways to make research knowledge more accessible, credible, and useful in the realm of public policy and practice, a project in which the course faculty collectively bring decades of professional experience, in both academic and non-academic roles. The course addresses the politics of the policymaking process, the power of framing and agenda-setting, fads and paradigms in the design professions and society in general, how knowledge diffuses along knowledge and influence networks, and how varied types of knowledge (rational, craft, other) and deliberation shape decision-making and action. The course engages a number of guests to pre This is a course about how research knowledge and other types of knowledge come to be actionable and influential in the world — or not. The course explores ways to make research knowledge more accessible, credible, and useful in the realm of public policy and practice, a project in which the course faculty collectively bring decades of professional experience, in both academic and non-academic roles. The course addresses the politics of the policymaking process, the power of framing and agenda-setting, fads and paradigms in the design professions and society in general, how knowledge diffuses along knowledge and influence networks, and how varied types of knowledge (rational, craft, other) and deliberation shape decision-making and action. The course engages a number of guests to pre

Subjects

research knowledge | research knowledge | public policy and practice | public policy and practice | policymaking | policymaking | framing | framing | agenda-setting | agenda-setting | knowledge diffusion | knowledge diffusion | knowledge and influence networks | knowledge and influence networks | deliberation | deliberation | decision-making | decision-making | action | action | public values | public values | political interests | political interests | ethical obligations | ethical obligations

License

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11.959 Reforming Natural Resources Governance: Failings of Scientific Rationalism and Alternatives for Building Common Ground (MIT) 11.959 Reforming Natural Resources Governance: Failings of Scientific Rationalism and Alternatives for Building Common Ground (MIT)

Description

For the last century, precepts of scientific management and administrative rationality have concentrated power in the hands of technical specialists, which in recent decades has contributed to widespread disenfranchisement and discontent among stakeholders in natural resources cases. In this seminar we examine the limitations of scientific management as a model both for governance and for gathering and using information, and describe alternative methods for informing and organizing decision-making processes. We feature cases involving large carnivores in the West (mountain lions and grizzly bears), Northeast coastal fisheries, and adaptive management of the Colorado River. There will be nightly readings and a short written assignment. For the last century, precepts of scientific management and administrative rationality have concentrated power in the hands of technical specialists, which in recent decades has contributed to widespread disenfranchisement and discontent among stakeholders in natural resources cases. In this seminar we examine the limitations of scientific management as a model both for governance and for gathering and using information, and describe alternative methods for informing and organizing decision-making processes. We feature cases involving large carnivores in the West (mountain lions and grizzly bears), Northeast coastal fisheries, and adaptive management of the Colorado River. There will be nightly readings and a short written assignment.

Subjects

role-play simulation | role-play simulation | policymakers | policymakers | Cape Wind controversy | Cape Wind controversy | wind farms | wind farms | wind farm | wind farm | ecosystems | ecosystems | natural resources management | natural resources management | environmental policy-making | environmental policy-making | science organizations | science organizations | science | science | decision-making | decision-making | science agencies | science agencies | National Environmental Policy Act | National Environmental Policy Act | NEPA | NEPA | scientists | scientists | society | society | collaborative approaches | collaborative approaches | joint fact finding | joint fact finding | environment | environment | policy making | policy making | decision making | decision making | ethics in science | ethics in science | values | values | environmental policy | environmental policy | collaborative learning | collaborative learning | local and indigenous knowledge | local and indigenous knowledge | adaptive management | adaptive management | adaptive governance | adaptive governance | eco-system management | eco-system management | USGS | USGS | United States Geological Survey | United States Geological Survey

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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9.69 Foundations of Cognition (MIT) 9.69 Foundations of Cognition (MIT)

Description

Advances in cognitive science have resolved, clarified, and sometimes complicated some of the great questions of Western philosophy: what is the structure of the world and how do we come to know it; does everyone represent the world the same way; what is the best way for us to act in the world. Specific topics include color, objects, number, categories, similarity, inductive inference, space, time, causality, reasoning, decision-making, morality and consciousness. Readings and discussion include a brief philosophical history of each topic and focus on advances in cognitive and developmental psychology, computation, neuroscience, and related fields. At least one subject in cognitive science, psychology, philosophy, linguistics, or artificial intelligence is required. An additional project i Advances in cognitive science have resolved, clarified, and sometimes complicated some of the great questions of Western philosophy: what is the structure of the world and how do we come to know it; does everyone represent the world the same way; what is the best way for us to act in the world. Specific topics include color, objects, number, categories, similarity, inductive inference, space, time, causality, reasoning, decision-making, morality and consciousness. Readings and discussion include a brief philosophical history of each topic and focus on advances in cognitive and developmental psychology, computation, neuroscience, and related fields. At least one subject in cognitive science, psychology, philosophy, linguistics, or artificial intelligence is required. An additional project i

Subjects

cognitive science | cognitive science | Western philosophy | Western philosophy | structure | structure | color | color | objects | objects | number | number | similarity | similarity | inductive inference | inductive inference | space | space | time | time | reasoning | reasoning | decision-making | decision-making | morality | morality | consciousness | consciousness | development | development | psychology | psychology | computation | computation | neuroscience | neuroscience | philosophy | philosophy | linguistics | linguistics | artificial intelligence | artificial intelligence

License

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9.012 The Brain and Cognitive Sciences II (MIT) 9.012 The Brain and Cognitive Sciences II (MIT)

Description

This class is the second half of an intensive survey of cognitive science for first-year graduate students. Topics include visual perception, language, memory, cognitive architecture, learning, reasoning, decision-making, and cognitive development. Topics covered are from behavioral, computational, and neural perspectives. This class is the second half of an intensive survey of cognitive science for first-year graduate students. Topics include visual perception, language, memory, cognitive architecture, learning, reasoning, decision-making, and cognitive development. Topics covered are from behavioral, computational, and neural perspectives.

Subjects

brain | brain | behavioral | behavioral | perception | perception | attention | attention | working memory | working memory | recognition | recognition | recall | recall | language | language | cognitive science | cognitive science | computation | computation | visual perception | visual perception | memory | memory | cognitive architecture | cognitive architecture | learning | learning | reasoning | reasoning | decision-making | decision-making | cognitive development | cognitive development | behavioral perspective | behavioral perspective | computational perspective | computational perspective | neural perspective | neural perspective

License

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11.941 Use of Joint Fact Finding in Science Intensive Policy Disputes, Part I (MIT) 11.941 Use of Joint Fact Finding in Science Intensive Policy Disputes, Part I (MIT)

Description

11.941 and 11.942 make up a one-year seminar. The goal of this seminar is to explore the role of science and scientists in ecosystems and natural resources management focusing on joint fact finding as a new approach to environmental policy-making. Increasingly scientists and science organizations are confronting a conundrum: Why is science often ignored in important societal decisions even as the call for decisions based on sound science escalates? One reason is that decision-making is often driven by a variety of nonscientific, adversarial, and stakeholder dynamics. Thus, even though science helps inform choices, it is only one of many values and interests considered by each stakeholder. In response to this emerging challenge, scientists, and science agencies such as the U.S. Geologi 11.941 and 11.942 make up a one-year seminar. The goal of this seminar is to explore the role of science and scientists in ecosystems and natural resources management focusing on joint fact finding as a new approach to environmental policy-making. Increasingly scientists and science organizations are confronting a conundrum: Why is science often ignored in important societal decisions even as the call for decisions based on sound science escalates? One reason is that decision-making is often driven by a variety of nonscientific, adversarial, and stakeholder dynamics. Thus, even though science helps inform choices, it is only one of many values and interests considered by each stakeholder. In response to this emerging challenge, scientists, and science agencies such as the U.S. Geologi

Subjects

ecosystems | ecosystems | natural resources management | natural resources management | environmental policy-making | environmental policy-making | science organizations | science organizations | science | science | decision-making | decision-making | science agencies | science agencies | U.S. Geological Survey | U.S. Geological Survey | environmental conflicts | environmental conflicts | Cape Wind controversy | Cape Wind controversy | disputes | disputes | joint fact finding | joint fact finding | environmental policy | environmental policy

License

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9.69 Foundations of Cognition (MIT) 9.69 Foundations of Cognition (MIT)

Description

Advances in cognitive science have resolved, clarified, and sometimes complicated some of the great questions of Western philosophy: what is the structure of the world and how do we come to know it; does everyone represent the world the same way; what is the best way for us to act in the world. Specific topics include color, objects, number, categories, similarity, inductive inference, space, time, causality, reasoning, decision-making, morality and consciousness. Readings and discussion include a brief philosophical history of each topic and focus on advances in cognitive and developmental psychology, computation, neuroscience, and related fields. At least one subject in cognitive science, psychology, philosophy, linguistics, or artificial intelligence is required. An additional project i Advances in cognitive science have resolved, clarified, and sometimes complicated some of the great questions of Western philosophy: what is the structure of the world and how do we come to know it; does everyone represent the world the same way; what is the best way for us to act in the world. Specific topics include color, objects, number, categories, similarity, inductive inference, space, time, causality, reasoning, decision-making, morality and consciousness. Readings and discussion include a brief philosophical history of each topic and focus on advances in cognitive and developmental psychology, computation, neuroscience, and related fields. At least one subject in cognitive science, psychology, philosophy, linguistics, or artificial intelligence is required. An additional project i

Subjects

cognitive science | cognitive science | Western philosophy | Western philosophy | structure | structure | color | color | objects | objects | number | number | similarity | similarity | inductive inference | inductive inference | space | space | time | time | reasoning | reasoning | decision-making | decision-making | morality | morality | consciousness | consciousness | development | development | psychology | psychology | computation | computation | neuroscience | neuroscience | philosophy | philosophy | linguistics | linguistics | artificial intelligence | artificial intelligence

License

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16.410 Principles of Autonomy and Decision Making (MIT) 16.410 Principles of Autonomy and Decision Making (MIT)

Description

This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, taken from the disciplines of artificial intelligence and operations research. Reasoning paradigms include logic and deduction, heuristic and constraint-based search, model-based reasoning, planning and execution, reasoning under uncertainty, and machine learning. Optimization paradigms include linear, integer and dynamic programming. Decision-making paradigms include decision theoretic planning, and Markov decision processes. This course is offered both to undergraduate (16.410) students as a professional area undergraduate subject, in the field of aerospace information This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, taken from the disciplines of artificial intelligence and operations research. Reasoning paradigms include logic and deduction, heuristic and constraint-based search, model-based reasoning, planning and execution, reasoning under uncertainty, and machine learning. Optimization paradigms include linear, integer and dynamic programming. Decision-making paradigms include decision theoretic planning, and Markov decision processes. This course is offered both to undergraduate (16.410) students as a professional area undergraduate subject, in the field of aerospace information

Subjects

autonomy | autonomy | decision | decision | decision-making | decision-making | reasoning | reasoning | optimization | optimization | autonomous | autonomous | autonomous systems | autonomous systems | decision support | decision support | algorithms | algorithms | artificial intelligence | artificial intelligence | a.i. | a.i. | operations | operations | operations research | operations research | logic | logic | deduction | deduction | heuristic search | heuristic search | constraint-based search | constraint-based search | model-based reasoning | model-based reasoning | planning | planning | execution | execution | uncertainty | uncertainty | machine learning | machine learning | linear programming | linear programming | dynamic programming | dynamic programming | integer programming | integer programming | network optimization | network optimization | decision analysis | decision analysis | decision theoretic planning | decision theoretic planning | Markov decision process | Markov decision process | scheme | scheme | propositional logic | propositional logic | constraints | constraints | Markov processes | Markov processes | computational performance | computational performance | satisfaction | satisfaction | learning algorithms | learning algorithms | system state | system state | state | state | search treees | search treees | plan spaces | plan spaces | model theory | model theory | decision trees | decision trees | function approximators | function approximators | optimization algorithms | optimization algorithms | limitations | limitations | tradeoffs | tradeoffs | search and reasoning | search and reasoning | game tree search | game tree search | local stochastic search | local stochastic search | stochastic | stochastic | genetic algorithms | genetic algorithms | constraint satisfaction | constraint satisfaction | propositional inference | propositional inference | rule-based systems | rule-based systems | rule-based | rule-based | model-based diagnosis | model-based diagnosis | neural nets | neural nets | reinforcement learning | reinforcement learning | web-based | web-based | search trees | search trees

License

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MAS.630 Affective Computing (MIT) MAS.630 Affective Computing (MIT)

Description

This course instructs students on how to develop technologies that help people measure and communicate emotion, that respectfully read and that intelligently respond to emotion, and have internal mechanisms inspired by the useful roles emotions play. This course instructs students on how to develop technologies that help people measure and communicate emotion, that respectfully read and that intelligently respond to emotion, and have internal mechanisms inspired by the useful roles emotions play.

Subjects

neuroscience | neuroscience | emotion | emotion | perception | perception | decision-making | decision-making | creativity | creativity | autism | autism | learning | learning | physiology of emotion | physiology of emotion | machine recognition | machine recognition | wearable systems | wearable systems | usability | usability | frustration | frustration | robot | robot | agent | agent | artificial intelligence | artificial intelligence | synthetic character | synthetic character | avatar | avatar | affect | affect | customer service | customer service | customer experience | customer experience | empathy | empathy | humanoid | humanoid

License

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11.942 Use of Joint Fact Finding in Science Intensive Policy Disputes, Part II (MIT) 11.942 Use of Joint Fact Finding in Science Intensive Policy Disputes, Part II (MIT)

Description

This course makes up the second half of a year-long seminar on Joint Fact Finding in Science-Intensive Disputes. In 11.941, the first half of the seminar, students analyzed and discussed cases that involved or that should have involved Joint Fact Finding of various kinds. In this portion, students concentrate on gathering information to assist in resolving the Cape Wind project, the dispute concerning the placement of wind farms in waters adjacent to Nantucket. Students will lay the groundwork for a collaborative project that includes Federal and State agencies, academic institutions and non-profits. This course makes up the second half of a year-long seminar on Joint Fact Finding in Science-Intensive Disputes. In 11.941, the first half of the seminar, students analyzed and discussed cases that involved or that should have involved Joint Fact Finding of various kinds. In this portion, students concentrate on gathering information to assist in resolving the Cape Wind project, the dispute concerning the placement of wind farms in waters adjacent to Nantucket. Students will lay the groundwork for a collaborative project that includes Federal and State agencies, academic institutions and non-profits.

Subjects

role-play simulation | role-play simulation | policymakers | policymakers | Cape Wind controversy | Cape Wind controversy | wind farms | wind farms | windfarm | windfarm | ecosystems | ecosystems | natural resources management | natural resources management | environmental policy-making | environmental policy-making | science organizations | science organizations | science | science | decision-making | decision-making | science agencies | science agencies | National Environmental Policy Act | National Environmental Policy Act | NEPA | NEPA

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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MAS.630 Affective Computing (MIT) MAS.630 Affective Computing (MIT)

Description

This course explores computing that relates to, arises from, or deliberately influences emotion. Topics include the interaction of emotion with cognition and perception, the role of emotion in human-computer interaction, the communication of human emotion via face, voice, physiology, and behavior, construction of computers that can recognize and respond appropriately to human emotional expressions, the development of computers that "have" emotion, and other areas of current research interest. Weekly reading, discussion, and a term project are also required. This course explores computing that relates to, arises from, or deliberately influences emotion. Topics include the interaction of emotion with cognition and perception, the role of emotion in human-computer interaction, the communication of human emotion via face, voice, physiology, and behavior, construction of computers that can recognize and respond appropriately to human emotional expressions, the development of computers that "have" emotion, and other areas of current research interest. Weekly reading, discussion, and a term project are also required.

Subjects

Neuroscience findings | Neuroscience findings | emotion | emotion | Emotion and perception | Emotion and perception | decision-making | decision-making | and creativity | and creativity | Emotion and learning | Emotion and learning | Physiology of emotion | Physiology of emotion | recognition by machines | recognition by machines | wearable systems | wearable systems | Measuring frustration/stress for usability feedback | Measuring frustration/stress for usability feedback | Responding to user emotion to reduce user frustration | Responding to user emotion to reduce user frustration | Inducing emotion | Inducing emotion | Robots/agents that "have" emotion | Robots/agents that "have" emotion

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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6.01 Introduction to Electrical Engineering and Computer Science I (MIT) 6.01 Introduction to Electrical Engineering and Computer Science I (MIT)

Description

6.01 explores fundamental ideas in electrical engineering and computer science, in the context of working with mobile robots. Key engineering principles, such as abstraction and modularity, are applied in the design of computer programs, electronic circuits, discrete-time controllers, and noisy and/or uncertain systems. 6.01 explores fundamental ideas in electrical engineering and computer science, in the context of working with mobile robots. Key engineering principles, such as abstraction and modularity, are applied in the design of computer programs, electronic circuits, discrete-time controllers, and noisy and/or uncertain systems.

Subjects

robots | robots | python | python | computer programs | computer programs | circuits | circuits | systems | systems | inheritance | inheritance | recursion | recursion | functional programming | functional programming | signals | signals | control | control | circuit abstractions | circuit abstractions | probability | probability | discrete probability | discrete probability | search algorithms | search algorithms | state machines | state machines | probabilistic state estimation | probabilistic state estimation | decision-making | decision-making | search | search | python robots | python robots

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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Power and the state Power and the state

Description

This is a module framework. It can be viewed online or downloaded as a zip file. As taught Autumn Semester 2010 The module compares and contrasts political decision-making structures in a variety of contexts, with the aim of analyzing questions of power within and across nation states. The module gives students an introduction to comparative politics – and so forms the basis for later and more detailed studies in the second and third years. It encompasses numerous examples to help students understand similarities and differences between governments as practiced in the United Kingdom and abroad. More particularly, and most importantly, the module introduces students to the basic methods of comparative politics. Module Code:M11003 (10 credits), M11153 (15 credits) Suitable for stud This is a module framework. It can be viewed online or downloaded as a zip file. As taught Autumn Semester 2010 The module compares and contrasts political decision-making structures in a variety of contexts, with the aim of analyzing questions of power within and across nation states. The module gives students an introduction to comparative politics – and so forms the basis for later and more detailed studies in the second and third years. It encompasses numerous examples to help students understand similarities and differences between governments as practiced in the United Kingdom and abroad. More particularly, and most importantly, the module introduces students to the basic methods of comparative politics. Module Code:M11003 (10 credits), M11153 (15 credits) Suitable for stud

Subjects

UNow | UNow | ukoer | ukoer | political decision-making structures | political decision-making structures | Module Code: M11003 | Module Code: M11003 | Module Code: M11153 | Module Code: M11153 | power within and across nation states | power within and across nation states | comparative politics | comparative politics | similarities and differences between governments | similarities and differences between governments

License

Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA) Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA)

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MAS.630 Affective Computing (MIT) MAS.630 Affective Computing (MIT)

Description

This class explores computing that relates to, arises from, or deliberately influences emotion. Topics include the interaction of emotion with cognition and perception; the role of emotion in human-computer interaction; the communication of human emotion via face, voice, physiology, and behavior; construction of computers that have skills of emotional intelligence; the development of computers that "have" emotion; affective technologies for autism; and other areas of current research interest. Weekly reading, discussion, and a term project are required. This class explores computing that relates to, arises from, or deliberately influences emotion. Topics include the interaction of emotion with cognition and perception; the role of emotion in human-computer interaction; the communication of human emotion via face, voice, physiology, and behavior; construction of computers that have skills of emotional intelligence; the development of computers that "have" emotion; affective technologies for autism; and other areas of current research interest. Weekly reading, discussion, and a term project are required.

Subjects

neuroscience | neuroscience | emotion | emotion | perception | perception | decision-making | decision-making | creativity | creativity | autism | autism | learning | learning

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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17.261 Congress and the American Political System II (MIT) 17.261 Congress and the American Political System II (MIT)

Description

This course analyzes the development of the United States Congress by focusing on the competing theoretical lenses through which legislatures have been studied. In particular, it compares sociological and economic models of legislative behavior, applying those models to floor decision-making, committee behavior, political parties, relations with other branches of the Federal government, and elections. Graduate students are expected to pursue the subject in greater depth through reading and individual research. This course analyzes the development of the United States Congress by focusing on the competing theoretical lenses through which legislatures have been studied. In particular, it compares sociological and economic models of legislative behavior, applying those models to floor decision-making, committee behavior, political parties, relations with other branches of the Federal government, and elections. Graduate students are expected to pursue the subject in greater depth through reading and individual research.

Subjects

Political science | Political science | congress | congress | American | American | system | system | theory | theory | legislature | legislature | sociological models | sociological models | economic models | economic models | legislative behavior | legislative behavior | floor decision-making | floor decision-making | committee behavior | committee behavior | political parties | political parties | relations | relations | Federal government | Federal government | elections | elections

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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1.223J Transportation Policy, Strategy, and Management (MIT)

Description

This class surveys the current concepts, theories, and issues in strategic management of transportation organizations. It provides transportation logistics and engineering systems students with an overview of the operating context, leadership challenges, strategies, and management tools that are used in today's public and private transportation organizations. The following concepts, tools, and issues are presented in both public and private sector cases: alternative models of decision-making, strategic planning (e.g., use of SWOT analysis and scenario development), stakeholder valuation and analysis, government-based regulation and cooperation within the transportation enterprise, disaster communications, systems safety, change management, and the impact of globalization.

Subjects

public transportation systems; pollution; infrastructure; government regulation; public policy; strategic planning management; labor relations; maintenance planning; administration; financing; marketing policy; fare policy; management information; decision support systems; transit industry; service provision; private sector; alternative models of decision-making; strategic planning; stakeholder valuation and analysis; government-based regulation and cooperation; transportation enterprise; disaster communications; systems safety; change management; and the impact of globalization; | public transportation systems | pollution | infrastructure | government regulation | public policy | strategic planning management | labor relations | maintenance planning | administration | financing | marketing policy | fare policy | management information | decision support systems | transit industry | service provision | private sector | alternative models of decision-making | strategic planning | stakeholder valuation and analysis | government-based regulation and cooperation | transportation enterprise | disaster communications | systems safety | change management | and the impact of globalization | the impact of globalization | 1.223 | ESD.203

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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16.410 Principles of Autonomy and Decision Making (MIT) 16.410 Principles of Autonomy and Decision Making (MIT)

Description

This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, taken from the disciplines of artificial intelligence and operations research. Reasoning paradigms include logic and deduction, heuristic and constraint-based search, model-based reasoning, planning and execution, reasoning under uncertainty, and machine learning. Optimization paradigms include linear, integer and dynamic programming. Decision-making paradigms include decision theoretic planning, and Markov decision processes. This course is offered both to undergraduate (16.410) students as a professional area undergraduate subject, in the field of aerospace information This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, taken from the disciplines of artificial intelligence and operations research. Reasoning paradigms include logic and deduction, heuristic and constraint-based search, model-based reasoning, planning and execution, reasoning under uncertainty, and machine learning. Optimization paradigms include linear, integer and dynamic programming. Decision-making paradigms include decision theoretic planning, and Markov decision processes. This course is offered both to undergraduate (16.410) students as a professional area undergraduate subject, in the field of aerospace information

Subjects

autonomy | autonomy | decision | decision | decision-making | decision-making | reasoning | reasoning | optimization | optimization | autonomous | autonomous | autonomous systems | autonomous systems | decision support | decision support | algorithms | algorithms | artificial intelligence | artificial intelligence | a.i. | a.i. | operations | operations | operations research | operations research | logic | logic | deduction | deduction | heuristic search | heuristic search | constraint-based search | constraint-based search | model-based reasoning | model-based reasoning | planning | planning | execution | execution | uncertainty | uncertainty | machine learning | machine learning | linear programming | linear programming | dynamic programming | dynamic programming | integer programming | integer programming | network optimization | network optimization | decision analysis | decision analysis | decision theoretic planning | decision theoretic planning | Markov decision process | Markov decision process | scheme | scheme | propositional logic | propositional logic | constraints | constraints | Markov processes | Markov processes | computational performance | computational performance | satisfaction | satisfaction | learning algorithms | learning algorithms | system state | system state | state | state | search treees | search treees | plan spaces | plan spaces | model theory | model theory | decision trees | decision trees | function approximators | function approximators | optimization algorithms | optimization algorithms | limitations | limitations | tradeoffs | tradeoffs | search and reasoning | search and reasoning | game tree search | game tree search | local stochastic search | local stochastic search | stochastic | stochastic | genetic algorithms | genetic algorithms | constraint satisfaction | constraint satisfaction | propositional inference | propositional inference | rule-based systems | rule-based systems | rule-based | rule-based | model-based diagnosis | model-based diagnosis | neural nets | neural nets | reinforcement learning | reinforcement learning | web-based | web-based | search trees | search trees

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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1.223J Transportation Policy, Strategy, and Management (MIT)

Description

This class surveys the current concepts, theories, and issues in strategic management of transportation organizations. It provides transportation logistics and engineering systems students with an overview of the operating context, leadership challenges, strategies, and management tools that are used in today's public and private transportation organizations. The following concepts, tools, and issues are presented in both public and private sector cases: alternative models of decision-making, strategic planning (e.g., use of SWOT analysis and scenario development), stakeholder valuation and analysis, government-based regulation and cooperation within the transportation enterprise, disaster communications, systems safety, change management, and the impact of globalization.

Subjects

public transportation systems; pollution; infrastructure; government regulation; public policy; strategic planning management; labor relations; maintenance planning; administration; financing; marketing policy; fare policy; management information; decision support systems; transit industry; service provision; private sector; alternative models of decision-making; strategic planning; stakeholder valuation and analysis; government-based regulation and cooperation; transportation enterprise; disaster communications; systems safety; change management; and the impact of globalization; | public transportation systems | pollution | infrastructure | government regulation | public policy | strategic planning management | labor relations | maintenance planning | administration | financing | marketing policy | fare policy | management information | decision support systems | transit industry | service provision | private sector | alternative models of decision-making | strategic planning | stakeholder valuation and analysis | government-based regulation and cooperation | transportation enterprise | disaster communications | systems safety | change management | and the impact of globalization | the impact of globalization | 1.223 | ESD.203

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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MAS.630 Affective Computing (MIT)

Description

This course instructs students on how to develop technologies that help people measure and communicate emotion, that respectfully read and that intelligently respond to emotion, and have internal mechanisms inspired by the useful roles emotions play.

Subjects

neuroscience | emotion | perception | decision-making | creativity | autism | learning | physiology of emotion | machine recognition | wearable systems | usability | frustration | robot | agent | artificial intelligence | synthetic character | avatar | affect | customer service | customer experience | empathy | humanoid

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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9.012 The Brain and Cognitive Sciences II (MIT)

Description

This class is the second half of an intensive survey of cognitive science for first-year graduate students. Topics include visual perception, language, memory, cognitive architecture, learning, reasoning, decision-making, and cognitive development. Topics covered are from behavioral, computational, and neural perspectives.

Subjects

brain | behavioral | perception | attention | working memory | recognition | recall | language | cognitive science | computation | visual perception | memory | cognitive architecture | learning | reasoning | decision-making | cognitive development | behavioral perspective | computational perspective | neural perspective

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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