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5.067 Crystal Structure Refinement (MIT) 5.067 Crystal Structure Refinement (MIT)
Description
This course in crystal structure refinement examines the practical aspects of crystal structure determination from data collection strategies to data reduction and basic and advanced refinement problems of organic and inorganic molecules. This course in crystal structure refinement examines the practical aspects of crystal structure determination from data collection strategies to data reduction and basic and advanced refinement problems of organic and inorganic molecules.Subjects
chemistry | chemistry | crystal structure refinement | crystal structure refinement | practical aspects | practical aspects | crystal structure determination | crystal structure determination | data collection | data collection | strategies | strategies | data reduction | data reduction | refinement problems | refinement problems | organic | organic | inorganic | inorganic | molecules | molecules | SHELXL | SHELXL | hydrogen atoms | hydrogen atoms | disorder | disorder | pseudo symmetry | pseudo symmetry | merohedral twins | merohedral twins | pseudo-merohedral twins | pseudo-merohedral twins | twinning | twinning | non-merohedral twins | non-merohedral twins | PLATON | PLATONLicense
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.htmSite sourced from
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See all metadata5.841 Crystal Structure Refinement (MIT) 5.841 Crystal Structure Refinement (MIT)
Description
This course in crystal structure refinement examines the practical aspects of crystal structure determination from data collection strategies to data reduction and basic and advanced refinement problems of organic and inorganic molecules. This course in crystal structure refinement examines the practical aspects of crystal structure determination from data collection strategies to data reduction and basic and advanced refinement problems of organic and inorganic molecules.Subjects
chemistry | chemistry | crystal structure refinement | crystal structure refinement | practical aspects | practical aspects | crystal structure determination | crystal structure determination | data collection | data collection | strategies | strategies | data reduction | data reduction | refinement problems | refinement problems | organic | organic | inorganic | inorganic | molecules | molecules | SHELXL | SHELXL | hydrogen atoms | hydrogen atoms | disorder | disorder | pseudo symmetry | pseudo symmetry | merohedral twins | merohedral twins | pseudo-merohedral twins | pseudo-merohedral twins | twinning | twinning | non-merohedral twins | non-merohedral twins | PLATON | PLATONLicense
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.htmSite sourced from
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See all metadata6.189 Multicore Programming Primer (MIT) 6.189 Multicore Programming Primer (MIT)
Description
Includes audio/video content: AV lectures, AV special element video, AV special element video. The course serves as an introductory course in parallel programming. It offers a series of lectures on parallel programming concepts as well as a group project providing hands-on experience with parallel programming. The students will have the unique opportunity to use the cutting-edge PLAYSTATION 3 development platform as they learn how to design and implement exciting applications for multicore architectures. At the end of the course, students will have an understanding of: Fundamental design philosophies that multicore architectures address. Parallel programming philosophies and emerging best practices. This course is offered during the Independent Activities Period (IAP), which is a specia Includes audio/video content: AV lectures, AV special element video, AV special element video. The course serves as an introductory course in parallel programming. It offers a series of lectures on parallel programming concepts as well as a group project providing hands-on experience with parallel programming. The students will have the unique opportunity to use the cutting-edge PLAYSTATION 3 development platform as they learn how to design and implement exciting applications for multicore architectures. At the end of the course, students will have an understanding of: Fundamental design philosophies that multicore architectures address. Parallel programming philosophies and emerging best practices. This course is offered during the Independent Activities Period (IAP), which is a speciaSubjects
multicore architectures | multicore architectures | parallel programming patterns | parallel programming patterns | Sony PlayStation 3 | Sony PlayStation 3 | competition | competitionLicense
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.htmSite sourced from
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See all metadata5.067 Crystal Structure Refinement (MIT) 5.067 Crystal Structure Refinement (MIT)
Description
This course in crystal structure refinement examines the practical aspects of crystal structure determination from data collection strategies to data reduction and basic and advanced refinement problems of organic and inorganic molecules. This course in crystal structure refinement examines the practical aspects of crystal structure determination from data collection strategies to data reduction and basic and advanced refinement problems of organic and inorganic molecules.Subjects
chemistry | chemistry | crystal structure refinement | crystal structure refinement | practical aspects | practical aspects | crystal structure determination | crystal structure determination | data collection | data collection | strategies | strategies | data reduction | data reduction | refinement problems | refinement problems | organic | organic | inorganic | inorganic | molecules | molecules | SHELXL | SHELXL | hydrogen atoms | hydrogen atoms | disorder | disorder | pseudo symmetry | pseudo symmetry | merohedral twins | merohedral twins | pseudo-merohedral twins | pseudo-merohedral twins | twinning | twinning | non-merohedral twins | non-merohedral twins | PLATON | PLATONLicense
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.htmSite sourced from
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See all metadataEE200 - Digital Logic Circuit Design EE200 - Digital Logic Circuit Design
Description
Number systems & codes. Logic gates. Boolean algebra. Karnaugh maps. Analysis and synthesis of combinational systems, decoders, multiplexers, adders and subtractors, PLAs. Types of flip-flops. Memory concept. Counters. Registers. Introduction to sequentia Number systems & codes. Logic gates. Boolean algebra. Karnaugh maps. Analysis and synthesis of combinational systems, decoders, multiplexers, adders and subtractors, PLAs. Types of flip-flops. Memory concept. Counters. Registers. Introduction to sequentiaLicense
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See all metadataHow to add a RADAR resource to Moodle using the PLATO plagiarism tutorial as an example.
Description
A 2-page guide that explains how to add a link to the PLATO plagiarism tutorial in a Brookes Virtual course. This document is intended for COURSE DESIGNERS ONLY.License
Copyright Oxford Brookes University. These materials are available for copying, use and re-use under the Creative Commons Licence: Attribution-Non-Commercial-No Derivative Works 2.0 UK: England and Wales. Copyright Oxford Brookes University. These materials are available for copying, use and re-use under the Creative Commons Licence: Attribution-Non-Commercial-No Derivative Works 2.0 UK: England and Wales.Site sourced from
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See all metadataDescription
This course focuses on computational and experimental analysis of biological systems across a hierarchy of scales, including genetic, molecular, cellular, and cell population levels. The two central themes of the course are modeling of complex dynamic systems and protein design and engineering. Topics include gene sequence analysis, molecular modeling, metabolic and gene regulation networks, signal transduction pathways and cell populations in tissues. Emphasis is placed on experimental methods, quantitative analysis, and computational modeling. This course focuses on computational and experimental analysis of biological systems across a hierarchy of scales, including genetic, molecular, cellular, and cell population levels. The two central themes of the course are modeling of complex dynamic systems and protein design and engineering. Topics include gene sequence analysis, molecular modeling, metabolic and gene regulation networks, signal transduction pathways and cell populations in tissues. Emphasis is placed on experimental methods, quantitative analysis, and computational modeling.Subjects
biological engineering | biological engineering | kinase | kinase | PyMOL | PyMOL | PyRosetta | PyRosetta | MATLAB | MATLAB | Michaelis-Menten | Michaelis-Menten | bioreactor | bioreactor | bromodomain | bromodomain | protein-ligand interactions | protein-ligand interactions | titration analysis | titration analysis | fractional separation | fractional separation | isothermal titration calorimetry | isothermal titration calorimetry | ITC | ITC | mass spectrometry | mass spectrometry | MS | MS | co-immunoprecipitation | co-immunoprecipitation | Co-IP | Co-IP | Forster resonance energy transfer | Forster resonance energy transfer | FRET | FRET | primary ligation assay | primary ligation assay | PLA | PLA | surface plasmon resonance | surface plasmon resonance | SPR | SPR | enzyme kinetics | enzyme kinetics | kinase engineering | kinase engineering | competitive inhibition | competitive inhibition | epidermal growth factor receptor | epidermal growth factor receptor | mitogen-activated protein kinase | mitogen-activated protein kinase | MAPK | MAPK | genome editing | genome editing | Imatinib | Imatinib | Gleevec | Gleevec | Glivec | Glivec | drug delivery | drug delivery | kinetics of molecular processes | kinetics of molecular processes | dynamics of molecular processes | dynamics of molecular processes | kinetics of cellular processes | kinetics of cellular processes | dynamics of cellular processes | dynamics of cellular processes | intracellular scale | intracellular scale | extracellular scale | extracellular scale | and cell population scale | and cell population scale | biotechnology applications | biotechnology applications | gene regulation networks | gene regulation networks | nucleic acid hybridization | nucleic acid hybridization | signal transduction pathways | signal transduction pathways | cell populations in tissues | cell populations in tissues | cell populations in bioreactors | cell populations in bioreactors | experimental methods | experimental methods | quantitative analysis | quantitative analysis | computational modeling | computational modelingLicense
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.htmSite sourced from
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See all metadata[Feature] AIPLAN - Alex Champandard on AI Planning in Games
Description
Feature video (AI Planning in Games: Alex Champandard) of the University of Edinburgh's "Artificial Intelligence Planning" (AIPLAN) open online course. Dr. Gerhard Wickler and Prof. Austin Tate School of Informatics University of Edinburgh Licence: CC-BY-NC http://creativecommons.org/licenses/by-nc-sa/3.0/License
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See all metadata[Feature] AIPLAN - Brad Clement AI Planning for Space
Description
Feature video (AI Planning for Space: Brad Clement) of the University of Edinburgh's "Artificial Intelligence Planning" (AIPLAN) open online course. Dr. Gerhard Wickler and Prof. Austin Tate School of Informatics University of Edinburgh Licence: CC-BY-NC http://creativecommons.org/licenses/by-nc-sa/3.0/License
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See all metadata[Feature] AIPLAN - David Wilkins SIPE 2
Description
Feature video (SIPE 2: David Wilkins) of the University of Edinburgh's "Artificial Intelligence Planning" (AIPLAN) open online course. Dr. Gerhard Wickler and Prof. Austin Tate School of Informatics University of Edinburgh Licence: CC-BY-NC http://creativecommons.org/licenses/by-nc-sa/3.0/License
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See all metadata[Feature] AIPLAN - Joerg Hoffmann on Heuristic Search
Description
Feature video (Heuristic Search: Joerg Hoffmann) of the University of Edinburgh's "Artificial Intelligence Planning" (AIPLAN) open online course. Dr. Gerhard Wickler and Prof. Austin Tate School of Informatics University of Edinburgh Licence: CC-BY-NC http://creativecommons.org/licenses/by-nc-sa/3.0/License
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See all metadata[Feature] AIPLAN - Nils Nilsson on A* and STRIPS
Description
Feature video (Astar and STRIPS: Nils Nilsson) of the University of Edinburgh's "Artificial Intelligence Planning" (AIPLAN) open online course. Dr. Gerhard Wickler and Prof. Austin Tate School of Informatics University of Edinburgh Licence: CC-BY-NC http://creativecommons.org/licenses/by-nc-sa/3.0/License
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See all metadata4.4b. AIPLAN - Mutex Relations
Description
Week four of the University of Edinburgh's "Artificial Intelligence Planning" (AIPLAN) open online course. Dr. Gerhard Wickler and Prof. Austin Tate School of Informatics University of Edinburgh Licence: CC-BY-NC http://creativecommons.org/licenses/by-nc-sa/3.0/License
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See all metadata4.5. AIPLAN - Forward Graph Expansion
Description
Week four of the University of Edinburgh's "Artificial Intelligence Planning" (AIPLAN) open online course. Dr. Gerhard Wickler and Prof. Austin Tate School of Informatics University of Edinburgh Licence: CC-BY-NC http://creativecommons.org/licenses/by-nc-sa/3.0/License
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See all metadata4.6a. AIPLAN - Backward Graph Search
Description
Week four of the University of Edinburgh's "Artificial Intelligence Planning" (AIPLAN) open online course. Dr. Gerhard Wickler and Prof. Austin Tate School of Informatics University of Edinburgh Licence: CC-BY-NC http://creativecommons.org/licenses/by-nc-sa/3.0/License
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See all metadata4.6b. AIPLAN - Backward Graph Search
Description
Week four of the University of Edinburgh's "Artificial Intelligence Planning" (AIPLAN) open online course. Dr. Gerhard Wickler and Prof. Austin Tate School of Informatics University of Edinburgh Licence: CC-BY-NC http://creativecommons.org/licenses/by-nc-sa/3.0/License
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See all metadata4.7. AIPLAN - Graphplan Algorithm
Description
Week four of the University of Edinburgh's "Artificial Intelligence Planning" (AIPLAN) open online course. Dr. Gerhard Wickler and Prof. Austin Tate School of Informatics University of Edinburgh Licence: CC-BY-NC http://creativecommons.org/licenses/by-nc-sa/3.0/License
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See all metadata4.8. AIPLAN - Planning Graph Heuristics
Description
Week four of the University of Edinburgh's "Artificial Intelligence Planning" (AIPLAN) open online course. Dr. Gerhard Wickler and Prof. Austin Tate School of Informatics University of Edinburgh Licence: CC-BY-NC http://creativecommons.org/licenses/by-nc-sa/3.0/License
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See all metadata4.9. AIPLAN - Pattern Databases
Description
Week four of the University of Edinburgh's "Artificial Intelligence Planning" (AIPLAN) open online course. Dr. Gerhard Wickler and Prof. Austin Tate School of Informatics University of Edinburgh Licence: CC-BY-NC http://creativecommons.org/licenses/by-nc-sa/3.0/License
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See all metadataDescription
Week four of the University of Edinburgh's "Artificial Intelligence Planning" (AIPLAN) open online course. Dr. Gerhard Wickler and Prof. Austin Tate School of Informatics University of Edinburgh Licence: CC-BY-NC http://creativecommons.org/licenses/by-nc-sa/3.0/License
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See all metadata5.0. AIPLAN - Week 5 Introduction
Description
Week five of the University of Edinburgh's "Artificial Intelligence Planning" (AIPLAN) open online course. Dr. Gerhard Wickler and Prof. Austin Tate School of Informatics University of Edinburgh Licence: CC-BY-NC http://creativecommons.org/licenses/by-nc-sa/3.0/License
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See all metadata5.1. AIPLAN - AI Planning Execution DS1
Description
Week five of the University of Edinburgh's "Artificial Intelligence Planning" (AIPLAN) open online course. Dr. Gerhard Wickler and Prof. Austin Tate School of Informatics University of Edinburgh Licence: CC-BY-NC http://creativecommons.org/licenses/by-nc-sa/3.0/License
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Description
Week five of the University of Edinburgh's "Artificial Intelligence Planning" (AIPLAN) open online course. Dr. Gerhard Wickler and Prof. Austin Tate School of Informatics University of Edinburgh Licence: CC-BY-NC http://creativecommons.org/licenses/by-nc-sa/3.0/License
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See all metadataDescription
Week five of the University of Edinburgh's "Artificial Intelligence Planning" (AIPLAN) open online course. Dr. Gerhard Wickler and Prof. Austin Tate School of Informatics University of Edinburgh Licence: CC-BY-NC http://creativecommons.org/licenses/by-nc-sa/3.0/License
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See all metadata5.4a. AIPLAN - Plan Generation
Description
Week five of the University of Edinburgh's "Artificial Intelligence Planning" (AIPLAN) open online course. Dr. Gerhard Wickler and Prof. Austin Tate School of Informatics University of Edinburgh Licence: CC-BY-NC http://creativecommons.org/licenses/by-nc-sa/3.0/License
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