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6.823 Computer System Architecture (MIT) 6.823 Computer System Architecture (MIT)

Description

6.823 is a study of the evolution of computer architecture and the factors influencing the design of hardware and software elements of computer systems. Topics may include: instruction set design; processor micro-architecture and pipelining; cache and virtual memory organizations; protection and sharing; I/O and interrupts; in-order and out-of-order superscalar architectures; VLIW machines; vector supercomputers; multithreaded architectures; symmetric multiprocessors; and parallel computers. 6.823 is a study of the evolution of computer architecture and the factors influencing the design of hardware and software elements of computer systems. Topics may include: instruction set design; processor micro-architecture and pipelining; cache and virtual memory organizations; protection and sharing; I/O and interrupts; in-order and out-of-order superscalar architectures; VLIW machines; vector supercomputers; multithreaded architectures; symmetric multiprocessors; and parallel computers.

Subjects

computer architecture | | computer architecture | | computer system architecture | | computer system architecture | | hardware | | hardware | | hardware design | | hardware design | | software | | software | | software design | | software design | | instruction set design | | instruction set design | | processor micro-architecture | | processor micro-architecture | | pipelining | | pipelining | | cache memory | | cache memory | | irtual memory | | irtual memory | | I/O | | I/O | | input/output | | input/output | | interrupts | | interrupts | | superscalar architectures | | superscalar architectures | | VLIW machines | | VLIW machines | | vector supercomputers | | vector supercomputers | | multithreaded architectures | | multithreaded architectures | | symmetric multiprocessors | | symmetric multiprocessors | | parallel computers | parallel computers | computer architecture | computer architecture | computer system architecture | computer system architecture | hardware | hardware | hardware design | hardware design | software | software | software design | software design | instruction set design | instruction set design | processor micro-architecture | processor micro-architecture | pipelining | pipelining | cache memory | cache memory | virtual memory | virtual memory | I/O | I/O | input/output | input/output | interrupts | interrupts | superscalar architectures | superscalar architectures | VLIW machines | VLIW machines | vector supercomputers | vector supercomputers | multithreaded architectures | multithreaded architectures | symmetric multiprocessors | symmetric multiprocessors

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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11.233 Research Design for Policy Analysis and Planning (MIT) 11.233 Research Design for Policy Analysis and Planning (MIT)

Description

This course develops skills in research design for policy analysis and planning. The emphasis is on the logic of the research process and its constituent elements. The course relies on a seminar format so students are expected to read all of the assigned materials and come to class prepared to discuss key themes, ideas, and controversies. Since the materials draw broadly on the social sciences, and since students have diverse interests and methodological preferences, ongoing themes in our discussions will be linking concepts to planning scholarship in general and considering how different epistemological orientations and methodological techniques map on to planning specializations. This course develops skills in research design for policy analysis and planning. The emphasis is on the logic of the research process and its constituent elements. The course relies on a seminar format so students are expected to read all of the assigned materials and come to class prepared to discuss key themes, ideas, and controversies. Since the materials draw broadly on the social sciences, and since students have diverse interests and methodological preferences, ongoing themes in our discussions will be linking concepts to planning scholarship in general and considering how different epistemological orientations and methodological techniques map on to planning specializations.

Subjects

policy and planning research | policy and planning research | theories | theories | research questions | research questions | research proposals | research proposals | research design | research design | experimental designs | experimental designs | research ethics | research ethics | sampling | sampling | surveys | surveys | questionnaires | questionnaires | interviewing | interviewing | case studies | case studies | field research | field research | participatory research | participatory research | action research | action research | unobtrusive measures | unobtrusive measures

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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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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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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4.607 Thinking About Architecture: In History and At Present (MIT) 4.607 Thinking About Architecture: In History and At Present (MIT)

Description

This course studies the interrelationship of theory, history, and practice as it relates to architecture and the architect. It looks at theory not as a specialized discourse relating only to architecture, but as touching on many issues, whether they be cultural, aesthetic, philosophical, or professional. Topics and examples are chosen from a wide range of materials, from classical antiquity to today. This course studies the interrelationship of theory, history, and practice as it relates to architecture and the architect. It looks at theory not as a specialized discourse relating only to architecture, but as touching on many issues, whether they be cultural, aesthetic, philosophical, or professional. Topics and examples are chosen from a wide range of materials, from classical antiquity to today.

Subjects

architectural history | architectural history | modern architecture | modern architecture | history | history | theory | theory | criticism | criticism | philosophy | philosophy | debate | debate | architectural criticism | architectural criticism | profession of architecture | profession of architecture | role of architecture and architects in the world and society | role of architecture and architects in the world and society

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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DATUM for Health: Research data management training for health studies

Description

The DATUM for Health training programme is aimed at postgraduate research (i.e. doctoral) students (PGR) in health studies, including those whose PhD has a health focus but who are not necessarily registered in a school/faculty of health/medicine (e.g. in psychology, social sciences). The programme covers both generic and discipline-specific issues, focussing on the management of qualitative, unstructured data, and is suitable for students at any stage of their PhD. It aims to provide PGR students with the knowledge to manage their research data at every stage in the data lifecycle, from its creation to its final storage or destruction. Students learn how to use their data more effectively and efficiently, how to store and destroy it securely, and how to make it available to a wider audien

Subjects

research | researchers | research data | research data management | research data management training | data management | data management training | organising research data | organising data | study skills | research skills | health | medicine | doctoral students | postgraduate research students | qualitative data | unstructured data | data curation | data curation lifecycle | pgr students | phd students | datum | datum for health | data | health data | curation research data | data organisation | organisation research data | rdm | jisc research data management training materials | jisc rdmtrain | RDMTrain

License

Attribution-NonCommercial-ShareAlike 3.0 Unported Attribution-NonCommercial-ShareAlike 3.0 Unported http://creativecommons.org/licenses/by-nc-sa/3.0/ http://creativecommons.org/licenses/by-nc-sa/3.0/

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17.869 Political Science Scope and Methods (MIT) 17.869 Political Science Scope and Methods (MIT)

Description

This course is designed to provide an introduction to a variety of empirical research methods used by political scientists. The primary aims of the course are to make you a more sophisticated consumer of diverse empirical research and to allow you to conduct sophisticated independent work in your junior and senior years. This is not a course in data analysis. Rather, it is a course on how to approach political science research. This course is designed to provide an introduction to a variety of empirical research methods used by political scientists. The primary aims of the course are to make you a more sophisticated consumer of diverse empirical research and to allow you to conduct sophisticated independent work in your junior and senior years. This is not a course in data analysis. Rather, it is a course on how to approach political science research.

Subjects

political science | political science | empirical research | empirical research | scientific method | scientific method | research design | research design | models | models | samping | samping | statistical analysis | statistical analysis | measurement | measurement | ethics | ethics | empirical | empirical | research | research | scientific | scientific | methods | methods | statistics | statistics | statistical | statistical | analysis | analysis | political | political | politics | politics | science | science | design | design | sampling | sampling | theoretical | theoretical | observation | observation | data | data | case studies | case studies | cases | cases | empirical research methods | empirical research methods | political scientists | political scientists | empirical analysis | empirical analysis | theoretical analysis | theoretical analysis | research projects | research projects | department faculty | department faculty | inference | inference | writing | writing | revision | revision | oral presentations | oral presentations | experimental method | experimental method | theories | theories | political implications | political implications

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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4.615 The Architecture of Cairo (MIT) 4.615 The Architecture of Cairo (MIT)

Description

Cairo is the quintessential Islamic city. Founded in 634 at the strategic head of the Nile Delta, the city evolved from an Islamic military outpost to the seat of the ambitious Fatimid caliphate which flourished between the 10th and 12th century. Its most spectacular age, however, was the Mamluk period (1250-1517), when it became the uncontested center of a resurgent Islam and acquired an architectural character that symbolized the image of the Islamic city for centuries to come. Cairo today still shines as a cultural and political center in its three spheres of influence: the Arab world, Africa, and the Islamic world. Moreover, many of its monuments (456 registered by the 1951 Survey of the Islamic Monuments of Cairo) still stand, although they remain largely unknown to the world’s Cairo is the quintessential Islamic city. Founded in 634 at the strategic head of the Nile Delta, the city evolved from an Islamic military outpost to the seat of the ambitious Fatimid caliphate which flourished between the 10th and 12th century. Its most spectacular age, however, was the Mamluk period (1250-1517), when it became the uncontested center of a resurgent Islam and acquired an architectural character that symbolized the image of the Islamic city for centuries to come. Cairo today still shines as a cultural and political center in its three spheres of influence: the Arab world, Africa, and the Islamic world. Moreover, many of its monuments (456 registered by the 1951 Survey of the Islamic Monuments of Cairo) still stand, although they remain largely unknown to the world’s

Subjects

religious architecture | religious architecture | islamic architecture | islamic architecture | cairo | cairo | urban planning | urban planning | muslim architecture | muslim architecture | egyption architecture | egyption architecture | arab architecture | arab architecture | north africa | north africa | mediterannean | mediterannean | nile river | nile river | Islamic Architecture | Islamic Architecture | Cairo | Cairo | Muslim Architecture | Muslim Architecture | Cities | Cities | Urban Architecture | Urban Architecture | Urban History | Urban History

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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15.347 Doctoral Seminar in Research Methods I (MIT) 15.347 Doctoral Seminar in Research Methods I (MIT)

Description

This course is designed to lay the foundations of good empirical research in the social sciences. It does not deal with specific techniques per se, but rather with the assumptions and the logic underlying social research. Students become acquainted with a variety of approaches to research design, and are helped to develop their own research projects and to evaluate the products of empirical research. This course is designed to lay the foundations of good empirical research in the social sciences. It does not deal with specific techniques per se, but rather with the assumptions and the logic underlying social research. Students become acquainted with a variety of approaches to research design, and are helped to develop their own research projects and to evaluate the products of empirical research.

Subjects

good empirical research | good empirical research | social sciences | social sciences | assumptions and the logic underlying social research | assumptions and the logic underlying social research | research design | research design | research projects | research projects | products of empirical research | products of empirical research

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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TALAT Lecture 4201: Arc welding processes: TIG, Plasma arc, MIG

Description

This lecture describes the arc welding processes TIG, Plasma, MIG and their modifications in connection with aluminium; it explains the choice of welding parameters; it demonstrates influence of the process on macrostructure. General engineering background and basic knowledge in electrical engineering is assumed.

Subjects

aluminium | aluminum | european aluminium association | eaa | talat | training in aluminium application technologies | training | metallurgy | technology | lecture | joining | fastening | mechanical | arc welding | gas-shielded arc welding | tig welding | equipment | watercooled | torch | shielding gases | flow meter | current | inert gas | argon consumption | tungsten electrodes | weld pool | arc burning | alternating current | filter condenser | pulsating square-wave alternating current | welding parameters | manual tig welding | mechanised tig welding | macrostructure | plasma arc welding | heat affected zone | arc form | keyhole plasma arc welding | arc stabilities | positive polarity plasma arc welding | vppa welding | plasma arc cutting | metal inert gas welding | tig | manual mig welding | contact tube distance | penetration | pulsed current | thick-wire mig welding | deposit efficiency | narrow-gap mig welding | plasma-arc mig welding | corematerials | ukoer | Engineering | H000

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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6.823 Computer System Architecture (MIT)

Description

6.823 is a study of the evolution of computer architecture and the factors influencing the design of hardware and software elements of computer systems. Topics may include: instruction set design; processor micro-architecture and pipelining; cache and virtual memory organizations; protection and sharing; I/O and interrupts; in-order and out-of-order superscalar architectures; VLIW machines; vector supercomputers; multithreaded architectures; symmetric multiprocessors; and parallel computers.

Subjects

computer architecture | | computer system architecture | | hardware | | hardware design | | software | | software design | | instruction set design | | processor micro-architecture | | pipelining | | cache memory | | irtual memory | | I/O | | input/output | | interrupts | | superscalar architectures | | VLIW machines | | vector supercomputers | | multithreaded architectures | | symmetric multiprocessors | | parallel computers | computer architecture | computer system architecture | hardware | hardware design | software | software design | instruction set design | processor micro-architecture | pipelining | cache memory | virtual memory | I/O | input/output | interrupts | superscalar architectures | VLIW machines | vector supercomputers | multithreaded architectures | symmetric multiprocessors

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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15.347 Doctoral Seminar in Research Methods I (MIT) 15.347 Doctoral Seminar in Research Methods I (MIT)

Description

This course is designed to lay the foundations of good empirical research in the social sciences. It does not deal with specific techniques per se, but rather with the assumptions and the logic underlying social research. Students become acquainted with a variety of approaches to research design, and are helped to develop their own research projects and to evaluate the products of empirical research. This course is designed to lay the foundations of good empirical research in the social sciences. It does not deal with specific techniques per se, but rather with the assumptions and the logic underlying social research. Students become acquainted with a variety of approaches to research design, and are helped to develop their own research projects and to evaluate the products of empirical research.

Subjects

good empirical research | good empirical research | social sciences | social sciences | assumptions and the logic underlying social research | assumptions and the logic underlying social research | research design | research design | research projects | research projects | products of empirical research | products of empirical research

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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6.823 Computer System Architecture (MIT) 6.823 Computer System Architecture (MIT)

Description

6.823 is a course in the department's "Computer Systems and Architecture" concentration. 6.823 is a study of the evolution of computer architecture and the factors influencing the design of hardware and software elements of computer systems. Topics may include: instruction set design; processor micro-architecture and pipelining; cache and virtual memory organizations; protection and sharing; I/O and interrupts; in-order and out-of-order superscalar architectures; VLIW machines; vector supercomputers; multithreaded architectures; symmetric multiprocessors; and parallel computers. 6.823 is a course in the department's "Computer Systems and Architecture" concentration. 6.823 is a study of the evolution of computer architecture and the factors influencing the design of hardware and software elements of computer systems. Topics may include: instruction set design; processor micro-architecture and pipelining; cache and virtual memory organizations; protection and sharing; I/O and interrupts; in-order and out-of-order superscalar architectures; VLIW machines; vector supercomputers; multithreaded architectures; symmetric multiprocessors; and parallel computers.

Subjects

computer architecture | computer architecture | computer system architecture | computer system architecture | hardware | hardware | hardware design | hardware design | software | software | software design | software design | instruction set design | instruction set design | processor micro-architecture | processor micro-architecture | pipelining | pipelining | cache memory | cache memory | virtual memory | virtual memory | I/O | I/O | input/output | input/output | interrupts | interrupts | superscalar architectures | superscalar architectures | VLIW machines | VLIW machines | vector supercomputers | vector supercomputers | multithreaded architectures | multithreaded architectures | symmetric multiprocessors | symmetric multiprocessors | parallel computers | parallel computers | computer system | computer system

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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TALAT Lecture 4201: Arc welding processes: TIG, Plasma arc, MIG

Description

This lecture describes the arc welding processes TIG, Plasma, MIG and their modifications in connection with aluminium; it explains the choice of welding parameters; it demonstrates influence of the process on macrostructure. General engineering background and basic knowledge in electrical engineering is assumed.

Subjects

aluminium | aluminum | european aluminium association | EAA | Training in Aluminium Application Technologies | training | metallurgy | technology | lecture | joining | fastening | mechanical | arc welding | gas-shielded arc welding | TIG welding | equipment | watercooled | torch | shielding gases | flow meter | current | inert gas | argon consumption | tungsten electrodes | weld pool | arc burning | alternating current | filter condenser | pulsating square-wave alternating current | welding parameters | manual TIG welding | mechanised TIG welding | macrostructure | plasma arc welding | heat affected zone | arc form | keyhole plasma arc welding | arc stabilities | positive polarity plasma arc welding | VPPA welding | plasma arc cutting | metal inert gas welding | TIG | manual MIG welding | contact tube distance | penetration | pulsed current | thick-wire MIG welding | deposit efficiency | narrow-gap MIG welding | plasma-arc MIG welding | corematerials | ukoer

License

http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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Research Information Management: Organising Humanities Material

Description

Research Information Management: Organising Humanities Material is a course for humanities researchers (including graduate students), designed to occupy about half a day. Included are a course book, a set of sample files for use during course exercises, and a slideshow for classroom use (the course book and exercise files can also be used for individual study). Topics covered include: identifying your working style; organising paper and electronic material; file and folder structures; tagging vs. hierarchical filing; retrieving information; and linking notes and sources. These course materials are part of a set of resources created as part of the Sudamih Project at Oxford University Computing Services.

Subjects

research | researchers | research data | research data management | research information | research information management | data management | personal information managment | organising research information | organising research material | organisation | folder structures | file structures | hierarchical filing | tag-based filing | information retrieval | linking information | software tools | study skills | research skills | 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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17.878 Qualitative Research: Design and Methods (MIT) 17.878 Qualitative Research: Design and Methods (MIT)

Description

This seminar explores the development and application of qualitative research designs and methods in political analysis. It considers a broad array of approaches, from exploratory narratives to focused-comparison case studies, for investigating plausible alternative hypotheses. The focus is on analysis, not data collection. This seminar explores the development and application of qualitative research designs and methods in political analysis. It considers a broad array of approaches, from exploratory narratives to focused-comparison case studies, for investigating plausible alternative hypotheses. The focus is on analysis, not data collection.

Subjects

development and application of qualitative research designs and methods in political analysis | development and application of qualitative research designs and methods in political analysis | exploratory narrative | exploratory narrative | focused-comparison case studies | focused-comparison case studies | investigating plausible alternative hypotheses | investigating plausible alternative hypotheses | research methods | research methods | methodology | methodology | rival hypothesis | rival hypothesis | research designs | research designs | plausibility | plausibility | political analysis | political analysis | data analysis | data analysis | validity | validity | reliability | reliability | inference | inference | observations | observations | cases | cases | subjects | subjects | research agenda | research agenda | qualitative methods | qualitative methods | qualitative research | qualitative research

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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Readme file for Distributed Web Systems

Description

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

Subjects

ukoer | web system tutorial | distributed system tutorial | web systems tutorial | distributed system lecture | web systems lecture | web system lecture | introduction to distributed systems lecture | interprocess communications | tomcat reading material | distributed systems architecture | interprocess communications lecture | distributed systems architecture quiz | web systems | distributed system | web system | servlets practical | distributed systems lecture | servlets tutorial | distributed systems quiz | java networking practical | distributed objects and remote method invocation lecture | distributed objects and rmi quiz | time and global state lecture | distributed systems architectures | distributed web systems | distributed web system | remote methods invocation practical | distributed systems | java servlet | transactions and currency control quiz | coordination and agreement lecture | coordination and agreement quiz | time control practical | replication lecture | java servlets | election algorithms practical | mvc approach practical | introduction to distributed web systems | distributed file systems lecture | cookies tutorial | session tracking tutorial | distributed objects lecture | web system quiz | distributed system quiz | web system practical | distributed web systems practical | distributed web system practical | distributed web system quiz | interprocess communication practical | distributed systems tutorial | distributed system practical | distributed web systems tutorial | distributed web systems lecture | distributed web systems quiz | distributed systems practical | java servlet practical | java servlets practical | interprocess communication quiz | distributed systems architectures quiz | distributed objects | distributed systems architecture lecture | distributed web system lecture | java servlet reading material | web system reading material | java servlets reading material | web systems reading material | distributed web systems reading material | distributed web system reading material | v | introduction to distributed web systems lecture | java servlets lecture | distributed web system tutorial | cookies and session tracking tutorial | distributed object lecture | distributed objects and remote method invocation practical | remote method invocation lecture | web systems quiz | fundamental models in distributed systems quiz | interprocess communications practical | web systems practical | request data tutorial | response data tutorial | servlet tutorial | java servlets tutorial | fundamental models in distributed systems lecture | interprocess communications quiz | interprocess communication lecture | distributed systems architectures lecture | distributed system reading material | distributed systems reading material | java servlet lecture | distributed objects quiz | remote method invocation quiz | distributed objects and remote method invocation quiz | distributed object quiz | fundamental models in distributed systems practical | time and global states lecture | java server pages tutorial | java server page tutorial | jsp tutorial | time and global state quiz | time and global states quiz | remote method invocation practical | distributed objects practical | distributed object practical | transactions and currency control lecture | transaction lecture | concurrency lecture | concurrency control lecture | transaction quiz | concurrency quiz | concurrency control quiz | request data practical | response data practical | servlet practical | cookies practical | session tracking practical | cookies and session tracking practical | time and global state practical | time and global states practical | java server pages practical | java server page practical | jsp practical | java beans tutorial | replication quiz | p2p lecture | peer to peer systems lecture | peer to peer system lecture | model-view-controller architecture tutorial | p2p quiz | peer to peer systems quiz | peer to peer system quiz | coordination and agreement practical | java beans practical | name services lecture | name service lecture | name services quiz | name service quiz | model-view-controller architecture practical | web services lecture | semantic web lecture | web services quiz | semantic web quiz | web services practical | semantic web practical | distributed file systems quiz | interprocess communication | fundamental models in distributed systems | request data | response data | servlet | remote method invocation | distributed objects and remote method invocation | distributed object | cookies | session tracking | cookies and session tracking | time and global state | time and global states | java server pages | java server page | jsp | transactions and currency control | transaction | concurrency | concurrency control | coordination and agreement | replication | java beans | p2p | peer to peer systems | peer to peer system | model-view-controller architecture | name services | name service | web services | semantic web | distributed file systems | jdbc tutorial | java database connectivity tutorial | jdbc practical | java database connectivity practical | jdbc | java database connectivity | 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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Research Information Management Guides

Description

The Research Information Management Guides are a series of articles covering a range of topics relating to the management of material used in the course of a research project. They include tips for good practice, and details of useful software tools. Areas covered include: organising research material; bibliographic software; note taking; working with structured data; and file and document management. The Guides are part of a set of resources created as part of the Sudamih Project at Oxford University Computing Services.

Subjects

research | research data | research data management | research information | research information management | personal information managment | organising research information | organising research material | organisation | bibliographic software | note taking | structured data | data management planning | databases | relational databases | structuring data | documenting data | data sharing | data curation | data archiving | data ethics | file naming | file synchronisation | versioning | study skills | research skills | 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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Research Information Management: Tools for the Humanities

Description

Research Information Management: Tools for the Humanities is a course for humanities researchers, designed to occupy about half a day. Included are a course book, a set of sample files for use during course exercises, and a slideshow for classroom use (the course book and exercise files can also be used for individual study). Topics covered include: selecting appropriate software tools; organising electronic material; retrieving information; integrating varied material; and when to consider using a database. The course introduces a range of software tools, many of which are available free of charge. These course materials are part of a set of resources created as part of the Sudamih Project at Oxford University Computing Services.

Subjects

research | researchers | research data | research data management | research information | research information management | data management | personal information managment | organising research information | organising research material | organisation | information retrieval | software tools | bibliographic software | annotation software | study skills | research skills | 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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Introduction to Research Data Management - slideshows

Description

These slideshows provide a brief introduction to key issues in research data management. They are designed for use in induction events, or as part of a research skills course. Three versions are provided: all cover broadly the same ground, but in different degrees of detail. The longest of the three includes some issues that are of particular relevance to researchers at postdoctoral level or above. These slideshows are part of a set of resources created as part of the Sudamih Project at Oxford University Computing Services. (NB. The slides use an OUCS design template, but users are welcome to transfer the content to their own institutional template as appropriate.)

Subjects

research | researchers | postgraduate research students | postdoctoral researchers | research data | research data management | research information | research information management | backing up | information retrieval | study skills | research skills | 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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6.851 Advanced Data Structures (MIT) 6.851 Advanced Data Structures (MIT)

Description

Includes audio/video content: AV lectures. Data structures play a central role in modern computer science. You interact with data structures even more often than with algorithms (think Google, your mail server, and even your network routers). In addition, data structures are essential building blocks in obtaining efficient algorithms. This course covers major results and current directions of research in data structure. Acknowledgments Thanks to videographers Martin Demaine and Justin Zhang. Includes audio/video content: AV lectures. Data structures play a central role in modern computer science. You interact with data structures even more often than with algorithms (think Google, your mail server, and even your network routers). In addition, data structures are essential building blocks in obtaining efficient algorithms. This course covers major results and current directions of research in data structure. Acknowledgments Thanks to videographers Martin Demaine and Justin Zhang.

Subjects

data | data | structures | structures | data structures | data structures | computers | computers | computer science | computer science | strings | strings | dynamic graphs | dynamic graphs | integers | integers | hash | hash | hashing | hashing | hashish | hashish | hashtag | hashtag | hash tag | hash tag | hash tagger | hash tagger | memory | memory | memory heirarchy | memory heirarchy | binary tree | binary tree | binary search | binary search | binary search tree | binary search tree | time travel | time travel | back to the future | back to the future | forward to the past | forward to the past | database | database | table | table | database table | database table | cache | cache | caching | caching | mad cache money | mad cache money | logarithmic time | logarithmic time | eurythmic time | eurythmic time | operations | operations | search | search | heaps | heaps

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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The Black Gate, Newcastle upon Tyne The Black Gate, Newcastle upon Tyne

Description

Subjects

door | door | shadow | shadow | chimney | chimney | sky | sky | people | people | house | house | abstract | abstract | castles | castles | industry | industry | window | window | sign | sign | stone | stone | wall | wall | architecture | architecture | standing | standing | walking | walking | person | person | daylight | daylight | clothing | clothing | interesting | interesting | construction | construction | arch | arch | unitedkingdom | unitedkingdom | head | head | path | path | timber | timber | mark | mark | board | board | debris | debris | letters | letters | grain | grain | lawn | lawn | victorian | victorian | surreal | surreal | ground | ground | social | social | landmark | landmark | structure | structure | step | step | fabric | fabric | frame | frame | gathering | gathering | archives | archives | gateway | gateway | land | land | unusual | unusual | archway | archway | curve | curve | seated | seated | lightpost | lightpost | tyneside | tyneside | development | development | impressive | impressive | heritagebuilding | heritagebuilding | 1858 | 1858 | newcastleupontyne | newcastleupontyne | fascinating | fascinating | digitalimage | digitalimage | unstable | unstable | industrialheritage | industrialheritage | historicbuilding | historicbuilding | blackgate | blackgate | blackandwhitephotos | blackandwhitephotos | northeastengland | northeastengland | blackandwhitephotograph | blackandwhitephotograph | historicalbuildingsandlandmarks | historicalbuildingsandlandmarks | newcastleinthe1800s | newcastleinthe1800s

License

No known copyright restrictions

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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

Subjects

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

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Research information management guides

Description

The Research Information Management Guides are a series of articles covering a range of topics relating to the management of material used in the course of a research project. They include tips for good practice, and details of useful software tools. Areas covered include: organising research material; bibliographic software; note taking; working with structured data; and file and document management. The Guides are part of a set of resources created by the Sudamih Project at Oxford University Computing Services in 2011.

Subjects

research | research data | research data management | research information management | personal information managment | organising research information | organising research material | organisation | bibliographic software | note taking | structured data | data management planning | databases | relational databases | structuring data | documenting data | data sharing | data curation | data archiving | data ethics | file naming | file synchronisation | versioning | study skills | research skills

License

Attribution-NonCommercial-ShareAlike 3.0 Unported Attribution-NonCommercial-ShareAlike 3.0 Unported http://creativecommons.org/licenses/by-nc-sa/3.0/ http://creativecommons.org/licenses/by-nc-sa/3.0/

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