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6.876J Advanced Topics in Cryptography (MIT) 6.876J Advanced Topics in Cryptography (MIT)

Description

The topics covered in this course include interactive proofs, zero-knowledge proofs, zero-knowledge proofs of knowledge, non-interactive zero-knowledge proofs, secure protocols, two-party secure computation, multiparty secure computation, and chosen-ciphertext security. The topics covered in this course include interactive proofs, zero-knowledge proofs, zero-knowledge proofs of knowledge, non-interactive zero-knowledge proofs, secure protocols, two-party secure computation, multiparty secure computation, and chosen-ciphertext security.

Subjects

interactive proofs | interactive proofs | zero-knowledge proofs | zero-knowledge proofs | zero-knowledge proofs of knowledge | zero-knowledge proofs of knowledge | non-interactive zero-knowledge proofs | non-interactive zero-knowledge proofs | secure protocols | secure protocols | two-party secure computation | two-party secure computation | multiparty secure computation | multiparty secure computation | chosen-ciphertext security | chosen-ciphertext security | 6.876 | 6.876 | 18.426 | 18.426

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.962 Common Sense Reasoning for Interactive Applications (MIT) MAS.962 Common Sense Reasoning for Interactive Applications (MIT)

Description

This course will explore the state of the art in common sense knowledge, and class projects will design and build interfaces that can exploit this knowledge to make more usable and helpful interfaces. This year's theme will be about how common sense knowledge differs in different languages and cultures, and how machine understanding of this knowledge can help increase communication between people, and between people and machines. This course will explore the state of the art in common sense knowledge, and class projects will design and build interfaces that can exploit this knowledge to make more usable and helpful interfaces. This year's theme will be about how common sense knowledge differs in different languages and cultures, and how machine understanding of this knowledge can help increase communication between people, and between people and machines.

Subjects

common sense reasoning | common sense reasoning | interactive applications | interactive applications | language | language | culture | culture | inference | inference | user goals | user goals | education | education | knowledge collection | knowledge collection | knowledge quality | knowledge quality | semantics | semantics | artificial intelligence | artificial intelligence | interface design | interface design | partial knowledge | partial knowledge | human-computer interaction | human-computer interaction | machine understanding | machine understanding | common sense knowledge | common sense knowledge

License

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11.965 Reflective Practice: An Approach for Expanding Your Learning Frontiers (MIT) 11.965 Reflective Practice: An Approach for Expanding Your Learning Frontiers (MIT)

Description

The course is an introduction to the approach of Reflective Practice developed by Donald Schön. It is an approach that enables professionals to understand how they use their knowledge in practical situations and how they can combine practice and learning in a more effective way. Through greater awareness of how they deploy their knowledge in practical situations, professionals can increase their capacities of learning in a more timely way. Understanding how they frame situations and ideas helps professionals to achieve greater flexibility and increase their capacity of conceptual innovation. The objective of the course is to introduce students to the approach and methods of reflective practice by raising their awareness about their own cognitive resources and how they use them in thei The course is an introduction to the approach of Reflective Practice developed by Donald Schön. It is an approach that enables professionals to understand how they use their knowledge in practical situations and how they can combine practice and learning in a more effective way. Through greater awareness of how they deploy their knowledge in practical situations, professionals can increase their capacities of learning in a more timely way. Understanding how they frame situations and ideas helps professionals to achieve greater flexibility and increase their capacity of conceptual innovation. The objective of the course is to introduce students to the approach and methods of reflective practice by raising their awareness about their own cognitive resources and how they use them in thei

Subjects

reflective practice | Donald Schon | Chris Argyris | conceptual innovation | knowledge generation | espoused theory | theory in use | reflection | tacit knowledge | explicit knowledge | learning cycles | reframing | conceptual frameworks | critical moments | experimentation | speculation | modeling | dialogue | theories | action | thinking | virtual worlds | mental model | framing | justice | equality | power | assumptions | intractable controversies | reflective practice | Donald Schon | Chris Argyris | conceptual innovation | knowledge generation | espoused theory | theory in use | reflection | tacit knowledge | explicit knowledge | learning cycles | reframing | conceptual frameworks | critical moments | experimentation | speculation | modeling | dialogue | theories | action | thinking | virtual worlds | mental model | framing | justice | equality | power | assumptions | intractable controversies | diagrams | diagrams | reflective practice | reflective practice | Donald Schon | Donald Schon | practice | practice | learning | learning | conceptual innovation | conceptual innovation | cognitive resources | cognitive resources | socialization | socialization | externalization | externalization | combination | combination | internalization | internalization | SECI Cycle of Knowledge | SECI Cycle of Knowledge

License

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Readme file for Introduction to Artificial Intelligence

Description

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

Subjects

ukoer | evolutionary algorithm lecture | algorithm tutorial | genetic algorithm lecture | genetic algorithm example | evolutionary computation tutorial | artificial intelligence lecture | artificial intelligence tutorial | random processes reading material | semantic web reading material | neural networks video | evolutionary computation test | artificial intelligence test | knowledge representation test | neural networks test | evolutionary algorithm | genetic computation | genetic programming | evolutionary computation | artificial intelligence | introduction to artificial intelligence | search | problem solving | revision | knowledge representation | semantic web | neural network | neural networks | artificial neural networks | swarm intelligence | collective intelligence | robot societies | genetic computation lecture | genetic programming lecture | evolutionary computation lecture | introduction to artificial intelligence lecture | evolutionary algorithm tutorial | genetic computation tutorial | genetic programming tutorial | introduction to artificial intelligence tutorial | evolutionary algorithm example | genetic computation example | genetic programming example | evolutionary computation example | artificial intelligence example | introduction to artificial intelligence example | search lecture | problem solving lecture | search tutorial | problem solving tutorial | search example | problem solving example | revision reading material | search reading material | artificial intelligence reading material | introduction to artificial intelligence reading material | revision lecture | knowledge representation lecture | semantic web lecture | knowledge representation practical | semantic web practical | artificial intelligence practical | introduction to artificial intelligence practical | knowledge representation reading material | knowledge representation notes | semantic web notes | artificial intelligence notes | introduction to artificial intelligence notes | neural network lecture | neural networks lecture | artificial neural networks lecture | neural network reading material | neural networks reading material | artificial neural networks reading material | neural network practical | neural networks practical | artificial neural networks practical | neural network viewing material | neural networks viewing material | artificial neural networks viewing material | artificial intelligence viewing material | introduction to artificial intelligence viewing material | swarm intelligence lecture | collective intelligence lecture | robot societies lecture | swarm intelligence tutorial | collective intelligence tutorial | robot societies tutorial | evolutionary algorithm test | genetic computation test | genetic programming test | introduction to artificial intelligence test | search test | problem solving test | semantic web test | neural network test | artificial neural networks test | g700 | ai | g700 lecture | ai lecture | g700 tutorial | ai tutorial | g700 example | ai example | g700 reading material | ai reading material | g700 practical | ai practical | g700 notes | ai notes | g700 viewing material | ai viewing material | g700 test | ai test | 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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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

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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6.871 Knowledge-Based Applications Systems (MIT) 6.871 Knowledge-Based Applications Systems (MIT)

Description

This course covers the development of programs containing a significant amount of knowledge about their application domain. The course includes a brief review of relevant AI techniques; case studies from a number of application domains, chosen to illustrate principles of system development; a discussion of technical issues encountered in building a system, including selection of knowledge representation, knowledge acquisition, etc.; and a discussion of current and future research. The course also provides hands-on experience in building an expert system (term project). This course covers the development of programs containing a significant amount of knowledge about their application domain. The course includes a brief review of relevant AI techniques; case studies from a number of application domains, chosen to illustrate principles of system development; a discussion of technical issues encountered in building a system, including selection of knowledge representation, knowledge acquisition, etc.; and a discussion of current and future research. The course also provides hands-on experience in building an expert system (term project).

Subjects

knowledge | knowledge | artifical intelligence | artifical intelligence | artificial intelligence techniques | artificial intelligence techniques | application domains | application domains | system development | system development | building system | building system | knowledge representation | knowledge representation | knowledge acquisition | knowledge acquisition | expert system | expert system | artificial intelligence | artificial intelligence

License

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15.343 Managing Transformations in Work, Organizations, and Society (MIT) 15.343 Managing Transformations in Work, Organizations, and Society (MIT)

Description

The course focuses on skills managers need to adapt to current sweeping changes in the nature of work and the workforce, in business organizations and their roles in society, and in the institutions that interact with work, particularly the labor market, community and family-centered groups. This year's teaching will be the basis for a workshop session at the Sloan School's 50th Anniversary Convocation. The course will involve a mix of on-campus and off-campus students taking the course via distance learning, and professionals from a variety of organizations who will participate in specific modules of interest to them. One session will be linked to colleagues at Cambridge University in England where a parallel course is being offered. Managerial issues addressed are associated with manag The course focuses on skills managers need to adapt to current sweeping changes in the nature of work and the workforce, in business organizations and their roles in society, and in the institutions that interact with work, particularly the labor market, community and family-centered groups. This year's teaching will be the basis for a workshop session at the Sloan School's 50th Anniversary Convocation. The course will involve a mix of on-campus and off-campus students taking the course via distance learning, and professionals from a variety of organizations who will participate in specific modules of interest to them. One session will be linked to colleagues at Cambridge University in England where a parallel course is being offered. Managerial issues addressed are associated with manag

Subjects

Theory X and Theory Y | Theory X and Theory Y | employee motivation | employee motivation | changing nature of work | changing nature of work | business and society | business and society | global standards | global standards | corporate responsibility | corporate responsibility | business and the environment | business and the environment | sustainable business | sustainable business | labor-management partnership | labor-management partnership | knowledge based work systems | knowledge based work systems | knowledge work | knowledge work | knowledge management | knowledge management | managing cultural diversity | managing cultural diversity | global organizations | global organizations | transforming government | transforming government

License

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6.876J Advanced Topics in Cryptography (MIT)

Description

The topics covered in this course include interactive proofs, zero-knowledge proofs, zero-knowledge proofs of knowledge, non-interactive zero-knowledge proofs, secure protocols, two-party secure computation, multiparty secure computation, and chosen-ciphertext security.

Subjects

interactive proofs | zero-knowledge proofs | zero-knowledge proofs of knowledge | non-interactive zero-knowledge proofs | secure protocols | two-party secure computation | multiparty secure computation | chosen-ciphertext security | 6.876 | 18.426

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.962 Common Sense Reasoning for Interactive Applications (MIT)

Description

This course will explore the state of the art in common sense knowledge, and class projects will design and build interfaces that can exploit this knowledge to make more usable and helpful interfaces. This year's theme will be about how common sense knowledge differs in different languages and cultures, and how machine understanding of this knowledge can help increase communication between people, and between people and machines.

Subjects

common sense reasoning | interactive applications | language | culture | inference | user goals | education | knowledge collection | knowledge quality | semantics | artificial intelligence | interface design | partial knowledge | human-computer interaction | machine understanding | common sense knowledge

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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9.85 Infant and Early Childhood Cognition (MIT) 9.85 Infant and Early Childhood Cognition (MIT)

Description

This course is an introduction to cognitive development focusing on children's understanding of objects, agents, and causality. Students develop a critical understanding of experimental design and how developmental research might address philosophical questions about the origins of knowledge, appearance and reality, and the problem of other minds. This course is an introduction to cognitive development focusing on children's understanding of objects, agents, and causality. Students develop a critical understanding of experimental design and how developmental research might address philosophical questions about the origins of knowledge, appearance and reality, and the problem of other minds.

Subjects

infant cognition | infant cognition | early childhood cognition | early childhood cognition | cognitive development | cognitive development | developmental psychology | developmental psychology | psychology | psychology | developmental research | developmental research | Piaget | Piaget | object knowledge | object knowledge | object individuation | object individuation | object concept | object concept | agents | agents | causal knowledge | causal knowledge | theory of mind | theory of mind | causation | causation | causal transformations | causal transformations

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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Knowledge technologies in context

Description

This unit explores knowledge technologies, that is, software systems that can represent, interpret, formalise or interrogate phenomena and create models of how the world works. It demonstrates how a well designed system can have positive effects on the work ‘ecosystem’, potentially allowing more time for people to concentrate on their strengths. Emphasising core concepts of representation, interpretation and situated use in context, this unit will help masters students and those involved in specifying and designing software for business understand how such systems can help manage knowledge as well as providing a framework for evaluating claims made by technology vendors and researchers.

Subjects

business and management | community_practice | knowledge_management | knowledge_maps | knowledge_models | knowledge_technologies | models | software_systems | systems | Education | X000

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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24.09 Minds and Machines (MIT) 24.09 Minds and Machines (MIT)

Description

This course is an introduction to many of the central issues in a branch of philosophy called philosophy of mind. This course is an introduction to many of the central issues in a branch of philosophy called philosophy of mind.

Subjects

Searle | Searle | AI | AI | Turing Test | Turing Test | dualism | dualism | behaviorism | behaviorism | identity theory | identity theory | Kripke | Kripke | functionalism | functionalism | intentionality | intentionality | externalism | externalism | perception | perception | self-knowledge | self-knowledge | knowledge argument | knowledge argument | Chalmers | Chalmers | Nagel | Nagel | panprotopsychism | panprotopsychism | mysterianism | mysterianism | consciousness | consciousness | rene descartes | rene descartes | mind | mind | brain | brain | causal theory | causal theory | pain | pain | relief | relief | meaning | meaning | individualism | individualism | qualia | qualia | mind-body problem | mind-body problem | free will | free will

License

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18.304 Undergraduate Seminar in Discrete Mathematics (MIT) 18.304 Undergraduate Seminar in Discrete Mathematics (MIT)

Description

This course is a student-presented seminar in combinatorics, graph theory, and discrete mathematics in general. Instruction and practice in written and oral communication is emphasized, with participants reading and presenting papers from recent mathematics literature and writing a final paper in a related topic. This course is a student-presented seminar in combinatorics, graph theory, and discrete mathematics in general. Instruction and practice in written and oral communication is emphasized, with participants reading and presenting papers from recent mathematics literature and writing a final paper in a related topic.

Subjects

discrete math; discrete mathematics; discrete; math; mathematics; seminar; presentations; student presentations; oral; communication; stable marriage; dych; emergency; response vehicles; ambulance; game theory; congruences; color theorem; four color; cake cutting; algorithm; RSA; encryption; numberical integration; sorting; post correspondence problem; PCP; ramsey; van der waals; fibonacci; recursion; domino; tiling; towers; hanoi; pigeonhole; principle; matrix; hamming; code; hat game; juggling; zero-knowledge; proof; repeated games; lewis carroll; determinants; infinitude of primes; bridges; konigsberg; koenigsberg; time series analysis; GARCH; rational; recurrence; relations; digital; image; compression; quantum computing | discrete math; discrete mathematics; discrete; math; mathematics; seminar; presentations; student presentations; oral; communication; stable marriage; dych; emergency; response vehicles; ambulance; game theory; congruences; color theorem; four color; cake cutting; algorithm; RSA; encryption; numberical integration; sorting; post correspondence problem; PCP; ramsey; van der waals; fibonacci; recursion; domino; tiling; towers; hanoi; pigeonhole; principle; matrix; hamming; code; hat game; juggling; zero-knowledge; proof; repeated games; lewis carroll; determinants; infinitude of primes; bridges; konigsberg; koenigsberg; time series analysis; GARCH; rational; recurrence; relations; digital; image; compression; quantum computing | discrete math | discrete math | discrete mathematics | discrete mathematics | discrete | discrete | math | math | mathematics | mathematics | seminar | seminar | presentations | presentations | student presentations | student presentations | oral | oral | communication | communication | stable marriage | stable marriage | dych | dych | emergency | emergency | response vehicles | response vehicles | ambulance | ambulance | game theory | game theory | congruences | congruences | color theorem | color theorem | four color | four color | cake cutting | cake cutting | algorithm | algorithm | RSA | RSA | encryption | encryption | numberical integration | numberical integration | sorting | sorting | post correspondence problem | post correspondence problem | PCP | PCP | ramsey | ramsey | van der waals | van der waals | fibonacci | fibonacci | recursion | recursion | domino | domino | tiling | tiling | towers | towers | hanoi | hanoi | pigeonhole | pigeonhole | principle | principle | matrix | matrix | hamming | hamming | code | code | hat game | hat game | juggling | juggling | zero-knowledge | zero-knowledge | proof | proof | repeated games | repeated games | lewis carroll | lewis carroll | determinants | determinants | infinitude of primes | infinitude of primes | bridges | bridges | konigsberg | konigsberg | koenigsberg | koenigsberg | time series analysis | time series analysis | GARCH | GARCH | rational | rational | recurrence | recurrence | relations | relations | digital | digital | image | image | compression | compression | quantum computing | quantum computing

License

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24.211 Theory of Knowledge (MIT) 24.211 Theory of Knowledge (MIT)

Description

This course is an introduction to epistemology: the theory of knowledge. We will focus on skepticism—that is, the thesis that we know nothing at all—and we will survey a range of skeptical arguments and responses to skepticism. This course is an introduction to epistemology: the theory of knowledge. We will focus on skepticism—that is, the thesis that we know nothing at all—and we will survey a range of skeptical arguments and responses to skepticism.

Subjects

epistemology | epistemology | theory of knowledge | theory of knowledge | skepticism | skepticism | common sense | common sense | Descartes | Descartes | closure of knowledge | closure of knowledge | Dretske | Dretske | sensitivity | sensitivity | dogmatism | dogmatism | bootstrapping | bootstrapping | default entitlement | default entitlement | certainty | certainty | contextualism | contextualism | practical interest | practical interest | Vogel | Vogel | Russell | Russell | lottery paradox | lottery paradox | Hawthornel | Hawthornel | Putnam | Putnam | brains in a vat | brains in a vat | semantic externalism | semantic externalism

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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9.85 Infant and Early Childhood Cognition (MIT) 9.85 Infant and Early Childhood Cognition (MIT)

Description

This course is an introduction to cognitive development focusing on children's understanding of objects, agents, and causality. It develops a critical understanding of experimental design. The course discusses how developmental research might address philosophical questions about the origins of knowledge, appearance and reality, and the problem of other minds. It provides instruction and practice in written communication as needed for cognitive science research (including critical reviews of journal papers, a literature review and an original research proposal), as well as instruction and practice in oral communication in the form of a poster presentation of a journal paper. This course is an introduction to cognitive development focusing on children's understanding of objects, agents, and causality. It develops a critical understanding of experimental design. The course discusses how developmental research might address philosophical questions about the origins of knowledge, appearance and reality, and the problem of other minds. It provides instruction and practice in written communication as needed for cognitive science research (including critical reviews of journal papers, a literature review and an original research proposal), as well as instruction and practice in oral communication in the form of a poster presentation of a journal paper.

Subjects

infant cognition | infant cognition | early childhood cognition | early childhood cognition | cognitive development | cognitive development | developmental psychology | developmental psychology | psychology | psychology | developmental research | developmental research | Piaget | Piaget | object knowledge | object knowledge | object individuation | object individuation | object concept | object concept | agents | agents | causal knowledge | causal knowledge | theory of mind | theory of mind | causation | causation | causal transformations | causal transformations

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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9.66J Computational Cognitive Science (MIT) 9.66J Computational Cognitive Science (MIT)

Description

This course is an introduction to computational theories of human cognition. Drawing on formal models from classic and contemporary artificial intelligence, students will explore fundamental issues in human knowledge representation, inductive learning and reasoning. What are the forms that our knowledge of the world takes? What are the inductive principles that allow us to acquire new knowledge from the interaction of prior knowledge with observed data? What kinds of data must be available to human learners, and what kinds of innate knowledge (if any) must they have? This course is an introduction to computational theories of human cognition. Drawing on formal models from classic and contemporary artificial intelligence, students will explore fundamental issues in human knowledge representation, inductive learning and reasoning. What are the forms that our knowledge of the world takes? What are the inductive principles that allow us to acquire new knowledge from the interaction of prior knowledge with observed data? What kinds of data must be available to human learners, and what kinds of innate knowledge (if any) must they have?

Subjects

computational theory | computational theory | human cognition | human cognition | artificial intelligence | artificial intelligence | human knowledge representation | human knowledge representation | inductive learning | inductive learning | inductive reasoning | inductive reasoning | innate knowledge | innate knowledge | machine learning | machine learning | cognitive science | cognitive science | computational cognitive science | computational cognitive science | 9.66 | 9.66 | 6.804 | 6.804

License

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11.601 Introduction to Environmental Policy and Planning (MIT) 11.601 Introduction to Environmental Policy and Planning (MIT)

Description

This course is the first subject in the Environmental Policy and Planning sequence. It reviews philosophical debates including growth vs. deep ecology, "command-and-control" vs. market-oriented approaches to regulation, and the importance of expertise vs. indigenous knowledge. Its emphasis is placed on environmental planning techniques and strategies. Related topics include the management of sustainability, the politics of ecosystem management, environmental governance and the changing role of civil society, ecological economics, integrated assessment (combining environmental impact assessment (EIA) and risk assessment), joint fact finding in science-intensive policy disputes, environmental justice in poor communities of color, and environmental dispute resolution. This course is the first subject in the Environmental Policy and Planning sequence. It reviews philosophical debates including growth vs. deep ecology, "command-and-control" vs. market-oriented approaches to regulation, and the importance of expertise vs. indigenous knowledge. Its emphasis is placed on environmental planning techniques and strategies. Related topics include the management of sustainability, the politics of ecosystem management, environmental governance and the changing role of civil society, ecological economics, integrated assessment (combining environmental impact assessment (EIA) and risk assessment), joint fact finding in science-intensive policy disputes, environmental justice in poor communities of color, and environmental dispute resolution.

Subjects

Experimental investigations of speech processes. Topics: measurement of articulatory movements | Experimental investigations of speech processes. Topics: measurement of articulatory movements | measurements of pressures and airflows in speech production | measurements of pressures and airflows in speech production | computer-aided waveform analysis and spectral analysis of speech | computer-aided waveform analysis and spectral analysis of speech | synthesis of speech | synthesis of speech | perception and discrimination of speechlike sounds | perception and discrimination of speechlike sounds | speech prosody | speech prosody | models for speech recognition | models for speech recognition | speech disorders | speech disorders | other topics | other topics | environment | environment | environmental planning | environmental planning | environmental policy | environmental policy | ethics | ethics | land use planning | land use planning | environmental management | environmental management | growth | growth | scarcity | scarcity | command and control | command and control | market forces | market forces | utilitarianism | utilitarianism | deep ecology | deep ecology | expert knowledge | expert knowledge | indigeneous knowledge | indigeneous knowledge | land conservation | land conservation | sustainable design | sustainable design | growth management | growth management | hazard mitigation | hazard mitigation | ecosystem management | ecosystem management | geospatial data | geospatial data | stormwater management | stormwater management | runoff pollution | runoff pollution | landscape ecology | landscape ecology | biodiversity | biodiversity | integrated assessment | integrated assessment | professional practice | professional practice

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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24.09 Minds and Machines (MIT) 24.09 Minds and Machines (MIT)

Description

This course is an introduction to many of the central issues in a branch of philosophy called philosophy of mind. Some of the questions we will discuss include the following. Can computers think? Is the mind an immaterial thing? Or is the mind the brain? Or does the mind stand to the brain as a computer program stands to the hardware? How can creatures like ourselves think thoughts that are "about" things? (For example, we can all think that Aristotle is a philosopher, and in that sense think "about" Aristotle, but what is the explanation of this quite remarkable ability?) Can I know whether your experiences and my experiences when we look at raspberries, fire trucks and stop lights are the same? Can consciousness be given a scientific explanation? This course is an introduction to many of the central issues in a branch of philosophy called philosophy of mind. Some of the questions we will discuss include the following. Can computers think? Is the mind an immaterial thing? Or is the mind the brain? Or does the mind stand to the brain as a computer program stands to the hardware? How can creatures like ourselves think thoughts that are "about" things? (For example, we can all think that Aristotle is a philosopher, and in that sense think "about" Aristotle, but what is the explanation of this quite remarkable ability?) Can I know whether your experiences and my experiences when we look at raspberries, fire trucks and stop lights are the same? Can consciousness be given a scientific explanation?

Subjects

Searle; AI | Searle; AI | dualism | dualism | behaviorism | behaviorism | identity theory | identity theory | functionalism | functionalism | intentionality | intentionality | externalism | externalism | self-knowledge | self-knowledge | knowledge argument | knowledge argument | chalmer | chalmer | panprotopsychism | panprotopsychism | mysterianism | mysterianism | conciousness | conciousness | rene descartes | rene descartes | mind | mind | brain | brain | causal theory | causal theory | pain | pain | relief | relief | meaning | meaning | individualism | individualism | qualia | qualia | mind-body problem | mind-body problem

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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15.990 Architecture and Communication in Organizations (MIT) 15.990 Architecture and Communication in Organizations (MIT)

Description

While no businesses succeed based on their architecture or space design, many fail as a result of inattention to the power of spatial relationships. This course demonstrates through live case studies with managers and architects the value of strategic space planning and decision making in relation to business needs. The course presents conceptual frameworks for thinking about architecture, communication and organizations. This course is offered during the Sloan Innovation Period (SIP), which is a one-week period at the MIT Sloan School of Management that occurs midway through each semester. While no businesses succeed based on their architecture or space design, many fail as a result of inattention to the power of spatial relationships. This course demonstrates through live case studies with managers and architects the value of strategic space planning and decision making in relation to business needs. The course presents conceptual frameworks for thinking about architecture, communication and organizations. This course is offered during the Sloan Innovation Period (SIP), which is a one-week period at the MIT Sloan School of Management that occurs midway through each semester.

Subjects

using space | using space | space design for business | space design for business | space planning | space planning | office buildings | office buildings | architectural design | architectural design | business communication | business communication | distributed work | distributed work | workplace design | workplace design | work stations | work stations | communication | communication | team work | team work | architecture of knowledge | architecture of knowledge | offices | offices | cubicles | cubicles | space design | space design | office space | office space | spatial relationships | spatial relationships | live case studies | live case studies | architects | architects | managers | managers | strategic space planning | strategic space planning | organizations | organizations | knowledge architecture | knowledge architecture | architecture | architecture | business administration | business administration | management | 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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18.304 Undergraduate Seminar in Discrete Mathematics (MIT) 18.304 Undergraduate Seminar in Discrete Mathematics (MIT)

Description

This course is a student-presented seminar in combinatorics, graph theory, and discrete mathematics in general. Instruction and practice in written and oral communication is emphasized, with participants reading and presenting papers from recent mathematics literature and writing a final paper in a related topic. This course is a student-presented seminar in combinatorics, graph theory, and discrete mathematics in general. Instruction and practice in written and oral communication is emphasized, with participants reading and presenting papers from recent mathematics literature and writing a final paper in a related topic.

Subjects

discrete math; discrete mathematics; discrete; math; mathematics; seminar; presentations; student presentations; oral; communication; stable marriage; dych; emergency; response vehicles; ambulance; game theory; congruences; color theorem; four color; cake cutting; algorithm; RSA; encryption; numberical integration; sorting; post correspondence problem; PCP; ramsey; van der waals; fibonacci; recursion; domino; tiling; towers; hanoi; pigeonhole; principle; matrix; hamming; code; hat game; juggling; zero-knowledge; proof; repeated games; lewis carroll; determinants; infinitude of primes; bridges; konigsberg; koenigsberg; time series analysis; GARCH; rational; recurrence; relations; digital; image; compression; quantum computing | discrete math; discrete mathematics; discrete; math; mathematics; seminar; presentations; student presentations; oral; communication; stable marriage; dych; emergency; response vehicles; ambulance; game theory; congruences; color theorem; four color; cake cutting; algorithm; RSA; encryption; numberical integration; sorting; post correspondence problem; PCP; ramsey; van der waals; fibonacci; recursion; domino; tiling; towers; hanoi; pigeonhole; principle; matrix; hamming; code; hat game; juggling; zero-knowledge; proof; repeated games; lewis carroll; determinants; infinitude of primes; bridges; konigsberg; koenigsberg; time series analysis; GARCH; rational; recurrence; relations; digital; image; compression; quantum computing | discrete math | discrete math | discrete mathematics | discrete mathematics | discrete | discrete | math | math | mathematics | mathematics | seminar | seminar | presentations | presentations | student presentations | student presentations | oral | oral | communication | communication | stable marriage | stable marriage | dych | dych | emergency | emergency | response vehicles | response vehicles | ambulance | ambulance | game theory | game theory | congruences | congruences | color theorem | color theorem | four color | four color | cake cutting | cake cutting | algorithm | algorithm | RSA | RSA | encryption | encryption | numberical integration | numberical integration | sorting | sorting | post correspondence problem | post correspondence problem | PCP | PCP | ramsey | ramsey | van der waals | van der waals | fibonacci | fibonacci | recursion | recursion | domino | domino | tiling | tiling | towers | towers | hanoi | hanoi | pigeonhole | pigeonhole | principle | principle | matrix | matrix | hamming | hamming | code | code | hat game | hat game | juggling | juggling | zero-knowledge | zero-knowledge | proof | proof | repeated games | repeated games | lewis carroll | lewis carroll | determinants | determinants | infinitude of primes | infinitude of primes | bridges | bridges | konigsberg | konigsberg | koenigsberg | koenigsberg | time series analysis | time series analysis | GARCH | GARCH | rational | rational | recurrence | recurrence | relations | relations | digital | digital | image | image | compression | compression | quantum computing | quantum computing

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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6.871 Knowledge-Based Applications Systems (MIT)

Description

This course covers the development of programs containing a significant amount of knowledge about their application domain. The course includes a brief review of relevant AI techniques; case studies from a number of application domains, chosen to illustrate principles of system development; a discussion of technical issues encountered in building a system, including selection of knowledge representation, knowledge acquisition, etc.; and a discussion of current and future research. The course also provides hands-on experience in building an expert system (term project).

Subjects

knowledge | artifical intelligence | artificial intelligence techniques | application domains | system development | building system | knowledge representation | knowledge acquisition | expert system | artificial intelligence

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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15.343 Managing Transformations in Work, Organizations, and Society (MIT)

Description

The course focuses on skills managers need to adapt to current sweeping changes in the nature of work and the workforce, in business organizations and their roles in society, and in the institutions that interact with work, particularly the labor market, community and family-centered groups. This year's teaching will be the basis for a workshop session at the Sloan School's 50th Anniversary Convocation. The course will involve a mix of on-campus and off-campus students taking the course via distance learning, and professionals from a variety of organizations who will participate in specific modules of interest to them. One session will be linked to colleagues at Cambridge University in England where a parallel course is being offered. Managerial issues addressed are associated with manag

Subjects

Theory X and Theory Y | employee motivation | changing nature of work | business and society | global standards | corporate responsibility | business and the environment | sustainable business | labor-management partnership | knowledge based work systems | knowledge work | knowledge management | managing cultural diversity | global organizations | transforming government

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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6.871 Knowledge-Based Applications Systems (MIT)

Description

This course covers the development of programs containing a significant amount of knowledge about their application domain. The course includes a brief review of relevant AI techniques; case studies from a number of application domains, chosen to illustrate principles of system development; a discussion of technical issues encountered in building a system, including selection of knowledge representation, knowledge acquisition, etc.; and a discussion of current and future research. The course also provides hands-on experience in building an expert system (term project).

Subjects

knowledge | artifical intelligence | artificial intelligence techniques | application domains | system development | building system | knowledge representation | knowledge acquisition | expert system | artificial intelligence

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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15.343 Managing Transformations in Work, Organizations, and Society (MIT)

Description

The course focuses on skills managers need to adapt to current sweeping changes in the nature of work and the workforce, in business organizations and their roles in society, and in the institutions that interact with work, particularly the labor market, community and family-centered groups. This year's teaching will be the basis for a workshop session at the Sloan School's 50th Anniversary Convocation. The course will involve a mix of on-campus and off-campus students taking the course via distance learning, and professionals from a variety of organizations who will participate in specific modules of interest to them. One session will be linked to colleagues at Cambridge University in England where a parallel course is being offered. Managerial issues addressed are associated with manag

Subjects

Theory X and Theory Y | employee motivation | changing nature of work | business and society | global standards | corporate responsibility | business and the environment | sustainable business | labor-management partnership | knowledge based work systems | knowledge work | knowledge management | managing cultural diversity | global organizations | transforming government

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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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

Subjects

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

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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