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6.041 Probabilistic Systems Analysis and Applied Probability (MIT) 6.041 Probabilistic Systems Analysis and Applied Probability (MIT)

Description

This course is offered both to undergraduates (6.041) and graduates (6.431), but the assignments differ. 6.041/6.431 introduces students to the modeling, quantification, and analysis of uncertainty. Topics covered include: formulation and solution in sample space, random variables, transform techniques, simple random processes and their probability distributions, Markov processes, limit theorems, and elements of statistical inference. This course is offered both to undergraduates (6.041) and graduates (6.431), but the assignments differ. 6.041/6.431 introduces students to the modeling, quantification, and analysis of uncertainty. Topics covered include: formulation and solution in sample space, random variables, transform techniques, simple random processes and their probability distributions, Markov processes, limit theorems, and elements of statistical inference.

Subjects

probabilistic systems | probabilistic systems | probabilistic systems analysis | probabilistic systems analysis | applied probability | applied probability | uncertainty | uncertainty | uncertainty modeling | uncertainty modeling | uncertainty quantification | uncertainty quantification | analysis of uncertainty | analysis of uncertainty | uncertainty analysis | uncertainty analysis | sample space | sample space | random variables | random variables | transform techniques | transform techniques | simple random processes | simple random processes | probability distribution | probability distribution | Markov process | Markov process | limit theorem | limit theorem | statistical inference | statistical inference

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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24.954 Pragmatics in Linguistic Theory (MIT) 24.954 Pragmatics in Linguistic Theory (MIT)

Description

The course introduces formal theories of context-dependency, presupposition, implicature, context-change, focus and topic. Special emphasis is on the division of labor between semantics and pragmatics. It also covers applications to the analysis of quantification, definiteness, presupposition projection, conditionals and modality, anaphora, questions and answers. The course introduces formal theories of context-dependency, presupposition, implicature, context-change, focus and topic. Special emphasis is on the division of labor between semantics and pragmatics. It also covers applications to the analysis of quantification, definiteness, presupposition projection, conditionals and modality, anaphora, questions and answers.

Subjects

context-dependency | context-dependency | presupposition | presupposition | implicature | implicature | context-change | context-change | focus | focus | topic | topic | semantics | semantics | pragmatics | pragmatics | quantification | quantification | definiteness | definiteness | presupposition projection | presupposition projection | conditionals | conditionals | modality | modality | anaphora | anaphora | questions | questions | answers | answers

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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24.973 Advanced Semantics (MIT) 24.973 Advanced Semantics (MIT)

Description

This course is the second of the three parts of our graduate introduction to semantics. The others are 24.970 Introduction to Semantics and 24.954 Pragmatics in Linguistic Theory. Like the other courses, this one is not meant as an overview of the field and its current developments. Our aim is to help you to develop the ability for semantic analysis, and we think that exploring a few topics in detail together with hands-on practical work is more effective than offering a bird's-eye view of everything. Once you have gained some experience in doing semantic analysis, reading around in the many recent handbooks and in current issues of major journals and attending our seminars and colloquia will give you all you need to prosper. Because we want to focus, we need to make difficult choices as This course is the second of the three parts of our graduate introduction to semantics. The others are 24.970 Introduction to Semantics and 24.954 Pragmatics in Linguistic Theory. Like the other courses, this one is not meant as an overview of the field and its current developments. Our aim is to help you to develop the ability for semantic analysis, and we think that exploring a few topics in detail together with hands-on practical work is more effective than offering a bird's-eye view of everything. Once you have gained some experience in doing semantic analysis, reading around in the many recent handbooks and in current issues of major journals and attending our seminars and colloquia will give you all you need to prosper. Because we want to focus, we need to make difficult choices as

Subjects

semantics | semantics | logic | logic | meaning | meaning | syntactic systems | syntactic systems | generative grammar | generative grammar | displacement | displacement | intensional semantics | intensional semantics | Hintikka's idea | Hintikka's idea | accessibility relations | accessibility relations | modality | modality | quantificational theory of modality | quantificational theory of modality | material implication analysis | material implication analysis | strict implication analysis | strict implication analysis | tense | tense | conditionals | conditionals | progressive | progressive | perfect | perfect | de re | de re | de dicto | de dicto | raised subjects | raised subjects | scope paradox | scope paradox | overt world variables | overt world variables | restrictors | restrictors | syntax movement | syntax movement | wh-movement | wh-movement | DP | DP | VP | VP

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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24.954 Pragmatics in Linguistic Theory (MIT) 24.954 Pragmatics in Linguistic Theory (MIT)

Description

The course introduces formal theories of context-dependency, presupposition, implicature, context-change, focus and topic. Special emphasis is on the division of labor between semantics and pragmatics. It also covers applications to the analysis of quantification, definiteness, presupposition projection, conditionals and modality, anaphora, questions and answers. The course introduces formal theories of context-dependency, presupposition, implicature, context-change, focus and topic. Special emphasis is on the division of labor between semantics and pragmatics. It also covers applications to the analysis of quantification, definiteness, presupposition projection, conditionals and modality, anaphora, questions and answers.

Subjects

context-dependency | context-dependency | presupposition | presupposition | implicature | implicature | context-change | context-change | focus and topic | focus and topic | division of labor | division of labor | semantics | semantics | pragmatics | pragmatics | quantification | quantification | definiteness | definiteness | presupposition projection | presupposition projection | conditionals | conditionals | modality | modality | anaphora | anaphora

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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6.041 Probabilistic Systems Analysis and Applied Probability (MIT) 6.041 Probabilistic Systems Analysis and Applied Probability (MIT)

Description

This course is offered both to undergraduates (6.041) and graduates (6.431), but the assignments differ. 6.041/6.431 introduces students to the modeling, quantification, and analysis of uncertainty. Topics covered include: formulation and solution in sample space, random variables, transform techniques, simple random processes and their probability distributions, Markov processes, limit theorems, and elements of statistical inference. This course is offered both to undergraduates (6.041) and graduates (6.431), but the assignments differ. 6.041/6.431 introduces students to the modeling, quantification, and analysis of uncertainty. Topics covered include: formulation and solution in sample space, random variables, transform techniques, simple random processes and their probability distributions, Markov processes, limit theorems, and elements of statistical inference.

Subjects

probabilistic systems | probabilistic systems | probabilistic systems analysis | probabilistic systems analysis | applied probability | applied probability | uncertainty | uncertainty | uncertainty modeling | uncertainty modeling | uncertainty quantification | uncertainty quantification | analysis of uncertainty | analysis of uncertainty | uncertainty analysis | uncertainty analysis | sample space | sample space | random variables | random variables | transform techniques | transform techniques | simple random processes | simple random processes | probability distribution | probability distribution | Markov process | Markov process | limit theorem | limit theorem | statistical inference | statistical inference

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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24.954 Pragmatics in Linguistic Theory (MIT) 24.954 Pragmatics in Linguistic Theory (MIT)

Description

Formal theories of context-dependency, presupposition, implicature, context-change, focus and topic. Special emphasis on the division of labor between semantics and pragmatics. Applications to the analysis of quantification, definiteness, presupposition projection, conditionals and modality, anaphora, questions and answers. Formal theories of context-dependency, presupposition, implicature, context-change, focus and topic. Special emphasis on the division of labor between semantics and pragmatics. Applications to the analysis of quantification, definiteness, presupposition projection, conditionals and modality, anaphora, questions and answers.

Subjects

context-dependency | context-dependency | presupposition | presupposition | implicature | implicature | context-change | context-change | focus | focus | topic | topic | semantics | semantics | pragmatics | pragmatics | quantification | quantification | definiteness | definiteness | presupposition projection | presupposition projection | conditionals | conditionals | modality | modality | anaphora | anaphora | questions | questions | answers | answers

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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6.041 Probabilistic Systems Analysis and Applied Probability (MIT) 6.041 Probabilistic Systems Analysis and Applied Probability (MIT)

Description

This course is offered both to undergraduates (6.041) and graduates (6.431), but the assignments differ. 6.041/6.431 introduces students to the modeling, quantification, and analysis of uncertainty. Topics covered include: formulation and solution in sample space, random variables, transform techniques, simple random processes and their probability distributions, Markov processes, limit theorems, and elements of statistical inference. This course is offered both to undergraduates (6.041) and graduates (6.431), but the assignments differ. 6.041/6.431 introduces students to the modeling, quantification, and analysis of uncertainty. Topics covered include: formulation and solution in sample space, random variables, transform techniques, simple random processes and their probability distributions, Markov processes, limit theorems, and elements of statistical inference.

Subjects

probabilistic systems | probabilistic systems | probabilistic systems analysis | probabilistic systems analysis | applied probability | applied probability | uncertainty | uncertainty | uncertainty modeling | uncertainty modeling | uncertainty quantification | uncertainty quantification | analysis of uncertainty | analysis of uncertainty | uncertainty analysis | uncertainty analysis | sample space | sample space | random variables | random variables | transform techniques | transform techniques | simple random processes | simple random processes | probability distribution | probability distribution | Markov process | Markov process | limit theorem | limit theorem | statistical inference | statistical inference

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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http://ocw.mit.edu/rss/all/mit-allarchivedcourses.xml

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24.973 Advanced Semantics (MIT)

Description

This course is the second of the three parts of our graduate introduction to semantics. The others are 24.970 Introduction to Semantics and 24.954 Pragmatics in Linguistic Theory. Like the other courses, this one is not meant as an overview of the field and its current developments. Our aim is to help you to develop the ability for semantic analysis, and we think that exploring a few topics in detail together with hands-on practical work is more effective than offering a bird's-eye view of everything. Once you have gained some experience in doing semantic analysis, reading around in the many recent handbooks and in current issues of major journals and attending our seminars and colloquia will give you all you need to prosper. Because we want to focus, we need to make difficult choices as

Subjects

semantics | logic | meaning | syntactic systems | generative grammar | displacement | intensional semantics | Hintikka's idea | accessibility relations | modality | quantificational theory of modality | material implication analysis | strict implication analysis | tense | conditionals | progressive | perfect | de re | de dicto | raised subjects | scope paradox | overt world variables | restrictors | syntax movement | wh-movement | DP | VP

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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24.954 Pragmatics in Linguistic Theory (MIT)

Description

Formal theories of context-dependency, presupposition, implicature, context-change, focus and topic. Special emphasis on the division of labor between semantics and pragmatics. Applications to the analysis of quantification, definiteness, presupposition projection, conditionals and modality, anaphora, questions and answers.

Subjects

context-dependency | presupposition | implicature | context-change | focus | topic | semantics | pragmatics | quantification | definiteness | presupposition projection | conditionals | modality | anaphora | questions | answers

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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6.041 Probabilistic Systems Analysis and Applied Probability (MIT)

Description

This course is offered both to undergraduates (6.041) and graduates (6.431), but the assignments differ. 6.041/6.431 introduces students to the modeling, quantification, and analysis of uncertainty. Topics covered include: formulation and solution in sample space, random variables, transform techniques, simple random processes and their probability distributions, Markov processes, limit theorems, and elements of statistical inference.

Subjects

probabilistic systems | probabilistic systems analysis | applied probability | uncertainty | uncertainty modeling | uncertainty quantification | analysis of uncertainty | uncertainty analysis | sample space | random variables | transform techniques | simple random processes | probability distribution | Markov process | limit theorem | statistical inference

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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6.041 Probabilistic Systems Analysis and Applied Probability (MIT)

Description

This course is offered both to undergraduates (6.041) and graduates (6.431), but the assignments differ. 6.041/6.431 introduces students to the modeling, quantification, and analysis of uncertainty. Topics covered include: formulation and solution in sample space, random variables, transform techniques, simple random processes and their probability distributions, Markov processes, limit theorems, and elements of statistical inference.

Subjects

probabilistic systems | probabilistic systems analysis | applied probability | uncertainty | uncertainty modeling | uncertainty quantification | analysis of uncertainty | uncertainty analysis | sample space | random variables | transform techniques | simple random processes | probability distribution | Markov process | limit theorem | statistical inference

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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Attribution

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6.041 Probabilistic Systems Analysis and Applied Probability (MIT)

Description

This course is offered both to undergraduates (6.041) and graduates (6.431), but the assignments differ. 6.041/6.431 introduces students to the modeling, quantification, and analysis of uncertainty. Topics covered include: formulation and solution in sample space, random variables, transform techniques, simple random processes and their probability distributions, Markov processes, limit theorems, and elements of statistical inference.

Subjects

probabilistic systems | probabilistic systems analysis | applied probability | uncertainty | uncertainty modeling | uncertainty quantification | analysis of uncertainty | uncertainty analysis | sample space | random variables | transform techniques | simple random processes | probability distribution | Markov process | limit theorem | statistical inference

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

Site sourced from

https://ocw.mit.edu/rss/all/mit-allarchivedcourses.xml

Attribution

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24.954 Pragmatics in Linguistic Theory (MIT)

Description

The course introduces formal theories of context-dependency, presupposition, implicature, context-change, focus and topic. Special emphasis is on the division of labor between semantics and pragmatics. It also covers applications to the analysis of quantification, definiteness, presupposition projection, conditionals and modality, anaphora, questions and answers.

Subjects

context-dependency | presupposition | implicature | context-change | focus | topic | semantics | pragmatics | quantification | definiteness | presupposition projection | conditionals | modality | anaphora | questions | answers

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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24.954 Pragmatics in Linguistic Theory (MIT)

Description

The course introduces formal theories of context-dependency, presupposition, implicature, context-change, focus and topic. Special emphasis is on the division of labor between semantics and pragmatics. It also covers applications to the analysis of quantification, definiteness, presupposition projection, conditionals and modality, anaphora, questions and answers.

Subjects

context-dependency | presupposition | implicature | context-change | focus and topic | division of labor | semantics | pragmatics | quantification | definiteness | presupposition projection | conditionals | modality | anaphora

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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24.954 Pragmatics in Linguistic Theory (MIT)

Description

The course introduces formal theories of context-dependency, presupposition, implicature, context-change, focus and topic. Special emphasis is on the division of labor between semantics and pragmatics. It also covers applications to the analysis of quantification, definiteness, presupposition projection, conditionals and modality, anaphora, questions and answers.

Subjects

context-dependency | presupposition | implicature | context-change | focus and topic | division of labor | semantics | pragmatics | quantification | definiteness | presupposition projection | conditionals | modality | anaphora

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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