Searching for computational modeling : 16 results found | RSS Feed for this search

1

7.343 Network Medicine: Using Systems Biology and Signaling Networks to Create Novel Cancer Therapeutics (MIT) 7.343 Network Medicine: Using Systems Biology and Signaling Networks to Create Novel Cancer Therapeutics (MIT)

Description

In this course, we will survey the primary systems biology literature, particularly as it pertains to understanding and treating various forms of cancer. We will consider various computational and experimental techniques being used in the field of systems biology, focusing on how systems principles have helped advance biological understanding. We will also discuss the application of the principles of systems biology and network biology to drug development, an emerging discipline called "network medicine." This course is one of many Advanced Undergraduate Seminars offered by the Biology Department at MIT. These seminars are tailored for students with an interest in using primary research literature to discuss and learn about current biological research in a highly interactive sett In this course, we will survey the primary systems biology literature, particularly as it pertains to understanding and treating various forms of cancer. We will consider various computational and experimental techniques being used in the field of systems biology, focusing on how systems principles have helped advance biological understanding. We will also discuss the application of the principles of systems biology and network biology to drug development, an emerging discipline called "network medicine." This course is one of many Advanced Undergraduate Seminars offered by the Biology Department at MIT. These seminars are tailored for students with an interest in using primary research literature to discuss and learn about current biological research in a highly interactive sett

Subjects

systems biology | systems biology | network medicine | network medicine | cancer | cancer | cancer therapeutics | cancer therapeutics | quantitative high-throughput data acquisition | quantitative high-throughput data acquisition | genomic analysis | genomic analysis | signaling network biology | signaling network biology | statistical/computational modeling | statistical/computational modeling | network biology | network biology | drug development | drug development

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

Site sourced from

http://ocw.mit.edu/rss/all/mit-allcourses-7.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

9.98 Language and Mind (MIT) 9.98 Language and Mind (MIT)

Description

This course will address some fundamental questions regarding human language: (1) how language is represented in our minds; (2) how language is acquired by children; (3) how language is processed by adults; (4) the relationship between language and thought; (5) exploring how language is represented and processed using brain imaging methods; and (6) computational modeling of human language acquisition and processing. This course will address some fundamental questions regarding human language: (1) how language is represented in our minds; (2) how language is acquired by children; (3) how language is processed by adults; (4) the relationship between language and thought; (5) exploring how language is represented and processed using brain imaging methods; and (6) computational modeling of human language acquisition and processing.

Subjects

human language | human language | representation | representation | acquisition | acquisition | children | children | adults | adults | language | language | thought | thought | imaging | imaging | computational modeling | computational modeling

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

Site sourced from

http://ocw.mit.edu/rss/all/mit-allcourses-9.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

9.63 Laboratory in Cognitive Science (MIT) 9.63 Laboratory in Cognitive Science (MIT)

Description

Teaches principles of experimental methods in human perception and cognition, including design and statistical analysis. Combines lectures and hands-on experimental exercises; requires an independent experimental project. Some experience in programming desirable. To foster improved writing and presentation skills in conducting and critiquing research in cognitive science, students are required to provide reports and give oral presentations of three team experiments; a fourth individually conducted experiment includes a proposal with revision, and concluding written and oral reports. Teaches principles of experimental methods in human perception and cognition, including design and statistical analysis. Combines lectures and hands-on experimental exercises; requires an independent experimental project. Some experience in programming desirable. To foster improved writing and presentation skills in conducting and critiquing research in cognitive science, students are required to provide reports and give oral presentations of three team experiments; a fourth individually conducted experiment includes a proposal with revision, and concluding written and oral reports.

Subjects

language processing | language processing | structure | structure | Sentence processing | Sentence processing | Discourse processing | Discourse processing | storage | storage | Morphological processing | Morphological processing | Ambiguity resolution | Ambiguity resolution | computational modeling | computational modeling | connectionist models | connectionist models | critical period | critical period | Speech acquisition | Speech acquisition | word acquisition | word acquisition | self-paced reading | self-paced reading | eye-tracking | eye-tracking | cross-modal priming | cross-modal priming | maging | maging | language acquisition | language acquisition

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

Site sourced from

http://ocw.mit.edu/rss/all/mit-allcourses-9.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

9.98 Language and Mind (MIT) 9.98 Language and Mind (MIT)

Description

This course will address some fundamental questions regarding human language: (1) how language is represented in our minds; (2) how language is acquired by children; (3) how language is processed by adults; (4) the relationship between language and thought; (5) exploring how language is represented and processed using brain imaging methods; and (6) computational modeling of human language acquisition and processing. This course will address some fundamental questions regarding human language: (1) how language is represented in our minds; (2) how language is acquired by children; (3) how language is processed by adults; (4) the relationship between language and thought; (5) exploring how language is represented and processed using brain imaging methods; and (6) computational modeling of human language acquisition and processing.

Subjects

human language | human language | representation | representation | acquisition | acquisition | children | children | adults | adults | language | language | thought | thought | imaging | imaging | computational modeling | computational modeling

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

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

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

9.63 Laboratory in Cognitive Science (MIT) 9.63 Laboratory in Cognitive Science (MIT)

Description

Teaches principles of experimental methods in human perception and cognition, including design and statistical analysis. Combines lectures and hands-on experimental exercises; requires an independent experimental project. Some experience in programming desirable. To foster improved writing and presentation skills in conducting and critiquing research in cognitive science, students are required to provide reports and give oral presentations of three team experiments; a fourth individually conducted experiment includes a proposal with revision, and concluding written and oral reports. Teaches principles of experimental methods in human perception and cognition, including design and statistical analysis. Combines lectures and hands-on experimental exercises; requires an independent experimental project. Some experience in programming desirable. To foster improved writing and presentation skills in conducting and critiquing research in cognitive science, students are required to provide reports and give oral presentations of three team experiments; a fourth individually conducted experiment includes a proposal with revision, and concluding written and oral reports.

Subjects

language processing | language processing | structure | structure | Sentence processing | Sentence processing | Discourse processing | Discourse processing | storage | storage | Morphological processing | Morphological processing | Ambiguity resolution | Ambiguity resolution | computational modeling | computational modeling | connectionist models | connectionist models | critical period | critical period | Speech acquisition | Speech acquisition | word acquisition | word acquisition | self-paced reading | self-paced reading | eye-tracking | eye-tracking | cross-modal priming | cross-modal priming | maging | maging | language acquisition | language acquisition

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

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

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

20.320 Analysis of Biomolecular and Cellular Systems (MIT) 20.320 Analysis of Biomolecular and Cellular Systems (MIT)

Description

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 modeling

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

Site sourced from

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

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

20.320 Biomolecular Kinetics and Cell Dynamics (MIT) 20.320 Biomolecular Kinetics and Cell Dynamics (MIT)

Description

This class covers analysis of kinetics and dynamics of molecular and cellular processes across a hierarchy of scales, including intracellular, extracellular, and cell population levels; a spectrum of biotechnology applications are also taken into consideration. Topics include gene regulation networks; nucleic acid hybridization; signal transduction pathways; and cell populations in tissues and bioreactors. Emphasis is placed on experimental methods, quantitative analysis, and computational modeling. This class covers analysis of kinetics and dynamics of molecular and cellular processes across a hierarchy of scales, including intracellular, extracellular, and cell population levels; a spectrum of biotechnology applications are also taken into consideration. Topics include gene regulation networks; nucleic acid hybridization; signal transduction pathways; and cell populations in tissues and bioreactors. Emphasis is placed on experimental methods, quantitative analysis, and computational modeling.

Subjects

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 modeling | cell population scale | cell population scale

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

Site sourced from

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

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

20.320 Biomolecular Kinetics and Cell Dynamics (MIT)

Description

This class covers analysis of kinetics and dynamics of molecular and cellular processes across a hierarchy of scales, including intracellular, extracellular, and cell population levels; a spectrum of biotechnology applications are also taken into consideration. Topics include gene regulation networks; nucleic acid hybridization; signal transduction pathways; and cell populations in tissues and bioreactors. Emphasis is placed on experimental methods, quantitative analysis, and computational modeling.

Subjects

kinetics of molecular processes | dynamics of molecular processes | kinetics of cellular processes | dynamics of cellular processes | intracellular scale | extracellular scale | and cell population scale | biotechnology applications | gene regulation networks | nucleic acid hybridization | signal transduction pathways | cell populations in tissues | cell populations in bioreactors | experimental methods | quantitative analysis | computational modeling | cell population scale

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

Site sourced from

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

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

9.63 Laboratory in Cognitive Science (MIT)

Description

Teaches principles of experimental methods in human perception and cognition, including design and statistical analysis. Combines lectures and hands-on experimental exercises; requires an independent experimental project. Some experience in programming desirable. To foster improved writing and presentation skills in conducting and critiquing research in cognitive science, students are required to provide reports and give oral presentations of three team experiments; a fourth individually conducted experiment includes a proposal with revision, and concluding written and oral reports.

Subjects

language processing | structure | Sentence processing | Discourse processing | storage | Morphological processing | Ambiguity resolution | computational modeling | connectionist models | critical period | Speech acquisition | word acquisition | self-paced reading | eye-tracking | cross-modal priming | maging | language acquisition

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-allsimplifiedchinesecourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

20.320 Biomolecular Kinetics and Cell Dynamics (MIT)

Description

This class covers analysis of kinetics and dynamics of molecular and cellular processes across a hierarchy of scales, including intracellular, extracellular, and cell population levels; a spectrum of biotechnology applications are also taken into consideration. Topics include gene regulation networks; nucleic acid hybridization; signal transduction pathways; and cell populations in tissues and bioreactors. Emphasis is placed on experimental methods, quantitative analysis, and computational modeling.

Subjects

kinetics of molecular processes | dynamics of molecular processes | kinetics of cellular processes | dynamics of cellular processes | intracellular scale | extracellular scale | and cell population scale | biotechnology applications | gene regulation networks | nucleic acid hybridization | signal transduction pathways | cell populations in tissues | cell populations in bioreactors | experimental methods | quantitative analysis | computational modeling | cell population scale

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

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

7.343 Network Medicine: Using Systems Biology and Signaling Networks to Create Novel Cancer Therapeutics (MIT)

Description

In this course, we will survey the primary systems biology literature, particularly as it pertains to understanding and treating various forms of cancer. We will consider various computational and experimental techniques being used in the field of systems biology, focusing on how systems principles have helped advance biological understanding. We will also discuss the application of the principles of systems biology and network biology to drug development, an emerging discipline called "network medicine." This course is one of many Advanced Undergraduate Seminars offered by the Biology Department at MIT. These seminars are tailored for students with an interest in using primary research literature to discuss and learn about current biological research in a highly interactive sett

Subjects

systems biology | network medicine | cancer | cancer therapeutics | quantitative high-throughput data acquisition | genomic analysis | signaling network biology | statistical/computational modeling | network biology | drug development

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-allcourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

20.320 Analysis of Biomolecular and Cellular Systems (MIT)

Description

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 | kinase | PyMOL | PyRosetta | MATLAB | Michaelis-Menten | bioreactor | bromodomain | protein-ligand interactions | titration analysis | fractional separation | isothermal titration calorimetry | ITC | mass spectrometry | MS | co-immunoprecipitation | Co-IP | Forster resonance energy transfer | FRET | primary ligation assay | PLA | surface plasmon resonance | SPR | enzyme kinetics | kinase engineering | competitive inhibition | epidermal growth factor receptor | mitogen-activated protein kinase | MAPK | genome editing | Imatinib | Gleevec | Glivec | drug delivery | kinetics of molecular processes | dynamics of molecular processes | kinetics of cellular processes | dynamics of cellular processes | intracellular scale | extracellular scale | and cell population scale | biotechnology applications | gene regulation networks | nucleic acid hybridization | signal transduction pathways | cell populations in tissues | cell populations in bioreactors | experimental methods | quantitative analysis | computational modeling

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-allcourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

9.98 Language and Mind (MIT)

Description

This course will address some fundamental questions regarding human language: (1) how language is represented in our minds; (2) how language is acquired by children; (3) how language is processed by adults; (4) the relationship between language and thought; (5) exploring how language is represented and processed using brain imaging methods; and (6) computational modeling of human language acquisition and processing.

Subjects

human language | representation | acquisition | children | adults | language | thought | imaging | computational modeling

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-allcourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

9.63 Laboratory in Cognitive Science (MIT)

Description

Teaches principles of experimental methods in human perception and cognition, including design and statistical analysis. Combines lectures and hands-on experimental exercises; requires an independent experimental project. Some experience in programming desirable. To foster improved writing and presentation skills in conducting and critiquing research in cognitive science, students are required to provide reports and give oral presentations of three team experiments; a fourth individually conducted experiment includes a proposal with revision, and concluding written and oral reports.

Subjects

language processing | structure | Sentence processing | Discourse processing | storage | Morphological processing | Ambiguity resolution | computational modeling | connectionist models | critical period | Speech acquisition | word acquisition | self-paced reading | eye-tracking | cross-modal priming | maging | language acquisition

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-allcourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

9.98 Language and Mind (MIT)

Description

This course will address some fundamental questions regarding human language: (1) how language is represented in our minds; (2) how language is acquired by children; (3) how language is processed by adults; (4) the relationship between language and thought; (5) exploring how language is represented and processed using brain imaging methods; and (6) computational modeling of human language acquisition and processing.

Subjects

human language | representation | acquisition | children | adults | language | thought | imaging | computational modeling

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-alltraditionalchinesecourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

9.63 Laboratory in Cognitive Science (MIT)

Description

Teaches principles of experimental methods in human perception and cognition, including design and statistical analysis. Combines lectures and hands-on experimental exercises; requires an independent experimental project. Some experience in programming desirable. To foster improved writing and presentation skills in conducting and critiquing research in cognitive science, students are required to provide reports and give oral presentations of three team experiments; a fourth individually conducted experiment includes a proposal with revision, and concluding written and oral reports.

Subjects

language processing | structure | Sentence processing | Discourse processing | storage | Morphological processing | Ambiguity resolution | computational modeling | connectionist models | critical period | Speech acquisition | word acquisition | self-paced reading | eye-tracking | cross-modal priming | maging | language acquisition

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-alltraditionalchinesecourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata