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12.114 Field Geology I (MIT) 12.114 Field Geology I (MIT)

Description

The course provides students with (1) an introduction to the geologic history of western North America, with particular emphasis on our field camp location and (2) an introduction to both digital and traditional techniques of geological field study. The weather permitting, several weekend field exercises provide practical experience in preparation for Field Geology II (12.115). It presents introductory material on the regional geology of the locale of 12.115. The course provides students with (1) an introduction to the geologic history of western North America, with particular emphasis on our field camp location and (2) an introduction to both digital and traditional techniques of geological field study. The weather permitting, several weekend field exercises provide practical experience in preparation for Field Geology II (12.115). It presents introductory material on the regional geology of the locale of 12.115.

Subjects

geologic mapping | geologic mapping | geologic mapping techniques | geologic mapping techniques | field geology | field geology | science writing | science writing | rock identification | rock identification | rock classification | rock classification | regional geology | regional geology | North American geology | North American geology | regional tectonics | regional tectonics | geologic maps | geologic maps | GIS | GIS | digital mapping | digital mapping | ESRI Arc Applications | ESRI Arc Applications | iPAQ handheld computers | iPAQ handheld computers | field manual | field manual | Western US geology | Western US geology | lithologic and structural symbology | lithologic and structural symbology

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18.112 Functions of a Complex Variable (MIT) 18.112 Functions of a Complex Variable (MIT)

Description

This is an advanced undergraduate course dealing with calculus in one complex variable with geometric emphasis. Since the course Analysis I (18.100B) is a prerequisite, topological notions like compactness, connectedness, and related properties of continuous functions are taken for granted.This course offers biweekly problem sets with solutions, two term tests and a final exam, all with solutions. This is an advanced undergraduate course dealing with calculus in one complex variable with geometric emphasis. Since the course Analysis I (18.100B) is a prerequisite, topological notions like compactness, connectedness, and related properties of continuous functions are taken for granted.This course offers biweekly problem sets with solutions, two term tests and a final exam, all with solutions.

Subjects

functions of one complex variable | functions of one complex variable | Cauchy's theorem | Cauchy's theorem | holomorphic functions | holomorphic functions | meromorphic functions | meromorphic functions | residues | residues | contour integrals | contour integrals | conformal mapping | conformal mapping | Infinite series and products | Infinite series and products | the gamma function | the gamma function | the Mittag-Leffler theorem | the Mittag-Leffler theorem | Harmonic functions | Harmonic functions | Dirichlet's problem | Dirichlet's problem | The Riemann mapping theorem | The Riemann mapping theorem | The Riemann Zeta function | The Riemann Zeta function

License

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18.112 Functions of a Complex Variable (MIT) 18.112 Functions of a Complex Variable (MIT)

Description

This is an advanced undergraduate course dealing with calculus in one complex variable with geometric emphasis. Since the course Analysis I (18.100B) is a prerequisite, topological notions like compactness, connectedness, and related properties of continuous functions are taken for granted.This course offers biweekly problem sets with solutions, two term tests and a final exam, all with solutions. This is an advanced undergraduate course dealing with calculus in one complex variable with geometric emphasis. Since the course Analysis I (18.100B) is a prerequisite, topological notions like compactness, connectedness, and related properties of continuous functions are taken for granted.This course offers biweekly problem sets with solutions, two term tests and a final exam, all with solutions.

Subjects

functions of one complex variable | functions of one complex variable | Cauchy's theorem | Cauchy's theorem | holomorphic functions | holomorphic functions | meromorphic functions | meromorphic functions | residues | residues | contour integrals | contour integrals | conformal mapping | conformal mapping | Infinite series and products | Infinite series and products | the gamma function | the gamma function | the Mittag-Leffler theorem | the Mittag-Leffler theorem | Harmonic functions | Harmonic functions | Dirichlet's problem | Dirichlet's problem | The Riemann mapping theorem | The Riemann mapping theorem | The Riemann Zeta function | The Riemann Zeta function

License

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Behavioral Genetics (MIT) Behavioral Genetics (MIT)

Description

How genetics can add to our understanding of cognition, language, emotion, personality, and behavior. Use of gene mapping to estimate risk factors for psychological disorders and variation in behavioral and personality traits. Mendelian genetics, genetic mapping techniques, and statistical analysis of large populations and their application to particular studies in behavioral genetics. Topics also include environmental influence on genetic programs, evolutionary genetics, and the larger scientific, social, ethical, and philosophical implications. How genetics can add to our understanding of cognition, language, emotion, personality, and behavior. Use of gene mapping to estimate risk factors for psychological disorders and variation in behavioral and personality traits. Mendelian genetics, genetic mapping techniques, and statistical analysis of large populations and their application to particular studies in behavioral genetics. Topics also include environmental influence on genetic programs, evolutionary genetics, and the larger scientific, social, ethical, and philosophical implications.

Subjects

cognition | cognition | language | language | emotion | emotion | personality | personality | behavior | behavior | gene mapping | gene mapping | personality traits | personality traits | Mendelian genetics | Mendelian genetics | genetic mapping techniques | genetic mapping techniques | statistical analysis | statistical analysis | environmental | environmental | genetic programs | genetic programs | evolutionary genetics | evolutionary genetics | social | social | ethical | ethical | 9.19 | 9.19 | 7.66 | 7.66

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18.112 Functions of a Complex Variable (MIT) 18.112 Functions of a Complex Variable (MIT)

Description

This is an advanced undergraduate course dealing with calculus in one complex variable with geometric emphasis. Since the course Analysis I (18.100B) is a prerequisite, topological notions like compactness, connectedness, and related properties of continuous functions are taken for granted. This course offers biweekly problem sets with solutions, two term tests and a final exam, all with solutions. This is an advanced undergraduate course dealing with calculus in one complex variable with geometric emphasis. Since the course Analysis I (18.100B) is a prerequisite, topological notions like compactness, connectedness, and related properties of continuous functions are taken for granted. This course offers biweekly problem sets with solutions, two term tests and a final exam, all with solutions.

Subjects

functions of one complex variable | functions of one complex variable | Cauchy's theorem | Cauchy's theorem | holomorphic functions | holomorphic functions | meromorphic functions | meromorphic functions | residues | residues | contour integrals | contour integrals | conformal mapping | conformal mapping | Infinite series and products | Infinite series and products | the gamma function | the gamma function | the Mittag-Leffler theorem | the Mittag-Leffler theorem | Harmonic functions | Harmonic functions | Dirichlet's problem | Dirichlet's problem | The Riemann mapping theorem | The Riemann mapping theorem | The Riemann Zeta function | The Riemann Zeta function

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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Behavioral Genetics (MIT) Behavioral Genetics (MIT)

Description

How genetics can add to our understanding of cognition, language, emotion, personality, and behavior. Use of gene mapping to estimate risk factors for psychological disorders and variation in behavioral and personality traits. Mendelian genetics, genetic mapping techniques, and statistical analysis of large populations and their application to particular studies in behavioral genetics. Topics also include environmental influence on genetic programs, evolutionary genetics, and the larger scientific, social, ethical, and philosophical implications. How genetics can add to our understanding of cognition, language, emotion, personality, and behavior. Use of gene mapping to estimate risk factors for psychological disorders and variation in behavioral and personality traits. Mendelian genetics, genetic mapping techniques, and statistical analysis of large populations and their application to particular studies in behavioral genetics. Topics also include environmental influence on genetic programs, evolutionary genetics, and the larger scientific, social, ethical, and philosophical implications.

Subjects

cognition | cognition | language | language | emotion | emotion | personality | personality | behavior | behavior | gene mapping | gene mapping | personality traits | personality traits | Mendelian genetics | Mendelian genetics | genetic mapping techniques | genetic mapping techniques | statistical analysis | statistical analysis | environmental | environmental | genetic programs | genetic programs | evolutionary genetics | evolutionary genetics | social | social | ethical | ethical | 9.19 | 9.19 | 7.66 | 7.66

License

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12.114 Field Geology I (MIT)

Description

The course provides students with (1) an introduction to the geologic history of western North America, with particular emphasis on our field camp location and (2) an introduction to both digital and traditional techniques of geological field study. The weather permitting, several weekend field exercises provide practical experience in preparation for Field Geology II (12.115). It presents introductory material on the regional geology of the locale of 12.115.

Subjects

geologic mapping | geologic mapping techniques | field geology | science writing | rock identification | rock classification | regional geology | North American geology | regional tectonics | geologic maps | GIS | digital mapping | ESRI Arc Applications | iPAQ handheld computers | field manual | Western US geology | lithologic and structural symbology

License

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Politics and Genocide: Rwanda (African Studies Seminar)

Description

Dr Omar McDoom (London School of Economics) looks at a single community in southern Rwanda, using spatial mapping, in order to understand why some people chose to kill during the violence and others did not. Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Subjects

Africa | methodology | Rwanda | genocide | spatial mapping | Africa | methodology | Rwanda | genocide | spatial mapping | 2011-02-17

License

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

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12.001 Introduction to Geology (MIT) 12.001 Introduction to Geology (MIT)

Description

This undergraduate level course presents a basic study in geology. It introduces major minerals and rock types, rock-forming processes, and time scales; temperatures, pressures, compositions, structure of the Earth, and measurement techniques; geologic structures and relationships observable in the field; sediment movement and landform development by moving water, wind, and ice; crustal processes and planetary evolution in terms of global plate tectonics with an emphasis on ductile and brittle processes. This undergraduate level course presents a basic study in geology. It introduces major minerals and rock types, rock-forming processes, and time scales; temperatures, pressures, compositions, structure of the Earth, and measurement techniques; geologic structures and relationships observable in the field; sediment movement and landform development by moving water, wind, and ice; crustal processes and planetary evolution in terms of global plate tectonics with an emphasis on ductile and brittle processes.

Subjects

minerals | minerals | igneous rocks | igneous rocks | sedimentary rocks | sedimentary rocks | metamorphic rocks | metamorphic rocks | volcanoes | volcanoes | earthquakes | earthquakes | geologic mapping | geologic mapping | plate tectonics | plate tectonics

License

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7.89 Topics in Computational and Systems Biology (MIT) 7.89 Topics in Computational and Systems Biology (MIT)

Description

This is a seminar based on research literature. Papers covered are selected to illustrate important problems and approaches in the field of computational and systems biology, and provide students a framework from which to evaluate new developments. The MIT Initiative in Computational and Systems Biology (CSBi) is a campus-wide research and education program that links biology, engineering, and computer science in a multidisciplinary approach to the systematic analysis and modeling of complex biological phenomena. This course is one of a series of core subjects offered through the CSB PhD program, for students with an interest in interdisciplinary training and research in the area of computational and systems biology. Acknowledgments In addition to the staff listed on this page, the followi This is a seminar based on research literature. Papers covered are selected to illustrate important problems and approaches in the field of computational and systems biology, and provide students a framework from which to evaluate new developments. The MIT Initiative in Computational and Systems Biology (CSBi) is a campus-wide research and education program that links biology, engineering, and computer science in a multidisciplinary approach to the systematic analysis and modeling of complex biological phenomena. This course is one of a series of core subjects offered through the CSB PhD program, for students with an interest in interdisciplinary training and research in the area of computational and systems biology. Acknowledgments In addition to the staff listed on this page, the followi

Subjects

computational | computational | systems | systems | biology | biology | seminar | seminar | literature review | literature review | statistics | statistics | developmental | developmental | biochemistry | biochemistry | genetics | genetics | physics | physics | genomics | genomics | signal transduction | signal transduction | regulation | regulation | medicine | medicine | kinetics | kinetics | protein structure | protein structure | devices | devices | synthesis | synthesis | networks | networks | mapping | mapping

License

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HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis (MIT) HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis (MIT)

Description

This team taught, multidisciplinary course covers the fundamentals of magnetic resonance imaging relevant to the conduct and interpretation of human brain mapping studies. The challenges inherent in advancing our knowledge about brain function using fMRI are presented first to put the work in context. The course then provides in depth coverage of the physics of image formation, mechanisms of image contrast, and the physiological basis for image signals. Parenchymal and cerebrovascular neuroanatomy and application of sophisticated structural analysis algorithms for segmentation and registration of functional data are discussed. Additional topics include fMRI experimental design including block design, event related and exploratory data analysis methods, building and applying statistical mod This team taught, multidisciplinary course covers the fundamentals of magnetic resonance imaging relevant to the conduct and interpretation of human brain mapping studies. The challenges inherent in advancing our knowledge about brain function using fMRI are presented first to put the work in context. The course then provides in depth coverage of the physics of image formation, mechanisms of image contrast, and the physiological basis for image signals. Parenchymal and cerebrovascular neuroanatomy and application of sophisticated structural analysis algorithms for segmentation and registration of functional data are discussed. Additional topics include fMRI experimental design including block design, event related and exploratory data analysis methods, building and applying statistical mod

Subjects

medical imaging | medical imaging | medical lab | medical lab | medical technology | medical technology | magnetic resonance imaging | magnetic resonance imaging | fMRI | fMRI | signal processing | signal processing | human brain mapping | human brain mapping | function | function | image formation physics | image formation physics | metabolism | metabolism | psychology | psychology | image signals | image signals | parenchymal | parenchymal | cerebrovascular neuroanatomy | cerebrovascular neuroanatomy | functional data analysis | functional data analysis | experimental design | experimental design | statistical models | statistical models | human subjects | human subjects | informed consent | informed consent | institutional review board requirements | institutional review board requirements | safety | safety | medical | medical | brain scan | brain scan

License

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HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis (MIT) HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis (MIT)

Description

This team taught, multidisciplinary course covers the fundamentals of magnetic resonance imaging relevant to the conduct and interpretation of human brain mapping studies. The challenges inherent in advancing our knowledge about brain function using fMRI are presented first to put the work in context. The course then provides in depth coverage of the physics of image formation, mechanisms of image contrast, and the physiological basis for image signals. Parenchymal and cerebrovascular neuroanatomy and application of sophisticated structural analysis algorithms for segmentation and registration of functional data are discussed. Additional topics include fMRI experimental design including block design, event related and exploratory data analysis methods, building and applying statistical mod This team taught, multidisciplinary course covers the fundamentals of magnetic resonance imaging relevant to the conduct and interpretation of human brain mapping studies. The challenges inherent in advancing our knowledge about brain function using fMRI are presented first to put the work in context. The course then provides in depth coverage of the physics of image formation, mechanisms of image contrast, and the physiological basis for image signals. Parenchymal and cerebrovascular neuroanatomy and application of sophisticated structural analysis algorithms for segmentation and registration of functional data are discussed. Additional topics include fMRI experimental design including block design, event related and exploratory data analysis methods, building and applying statistical mod

Subjects

medical lab | medical lab | medical technology | medical technology | magnetic resonance imaging | magnetic resonance imaging | fMRI | fMRI | signal processing | signal processing | human brain mapping | human brain mapping | function | function | image formation physics | image formation physics | metabolism | metabolism | psychology | psychology | image signals | image signals | parenchymal | parenchymal | cerebrovascular neuroanatomy | cerebrovascular neuroanatomy | functional data analysis | functional data analysis | experimental design | experimental design | statistical models | statistical models | human subjects | human subjects | informed consent | informed consent | institutional review board requirements | institutional review board requirements | safety | safety | medical | medical | brain scan | brain scan

License

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16.412J Cognitive Robotics (MIT) 16.412J Cognitive Robotics (MIT)

Description

Cognitive robotics addresses the emerging field of autonomous systems possessing artificial reasoning skills. Successfully-applied algorithms and autonomy models form the basis for study, and provide students an opportunity to design such a system as part of their class project. Theory and application are linked through discussion of real systems such as the Mars Exploration Rover.Technical RequirementsAny text editor can be used to view the .ascii, .binary, .map, and .pddl files found on this course site. Any number of development tools can be used to compile and run the .c and .h files found on this course site. Cognitive robotics addresses the emerging field of autonomous systems possessing artificial reasoning skills. Successfully-applied algorithms and autonomy models form the basis for study, and provide students an opportunity to design such a system as part of their class project. Theory and application are linked through discussion of real systems such as the Mars Exploration Rover.Technical RequirementsAny text editor can be used to view the .ascii, .binary, .map, and .pddl files found on this course site. Any number of development tools can be used to compile and run the .c and .h files found on this course site.

Subjects

cognitive robotics | cognitive robotics | robotic systems | robotic systems | intelligence algorithms | intelligence algorithms | robustness algorithms | robustness algorithms | intelligence paradigms | intelligence paradigms | robustness paradigms | robustness paradigms | autonomous robots | autonomous robots | mars explorers | mars explorers | cooperative air vehicles | cooperative air vehicles | embedded devices | embedded devices | real-time deduction | real-time deduction | real-time search | real-time search | temporal planning | temporal planning | decision-theoretic planning | decision-theoretic planning | contingency planning | contingency planning | dynamic execution | dynamic execution | dynamics re-planning | dynamics re-planning | reasoning | reasoning | path planning | path planning | reasoning under uncertainty | reasoning under uncertainty | mapping | mapping | localization | localization | cooperative robotics | cooperative robotics | distributed robotics | distributed robotics | mars exploration rover | mars exploration rover | nursebot | nursebot | museum tourguide | museum tourguide | human-interaction systems | human-interaction systems | navigation | navigation | state-aware robots | state-aware robots | fast planning | fast planning | cooperative planning | cooperative planning | vision-based exploration | vision-based exploration | preplanning | preplanning | 16.412 | 16.412 | 6.834 | 6.834

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HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis (MIT) HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis (MIT)

Description

This team taught, multidisciplinary course covers the fundamentals of magnetic resonance imaging relevant to the conduct and interpretation of human brain mapping studies. The challenges inherent in advancing our knowledge about brain function using fMRI are presented first to put the work in context. The course then provides in depth coverage of the physics of image formation, mechanisms of image contrast, and the physiological basis for image signals. Parenchymal and cerebrovascular neuroanatomy and application of sophisticated structural analysis algorithms for segmentation and registration of functional data are discussed. Additional topics include fMRI experimental design including block design, event related and exploratory data analysis methods, building and applying statistical mod This team taught, multidisciplinary course covers the fundamentals of magnetic resonance imaging relevant to the conduct and interpretation of human brain mapping studies. The challenges inherent in advancing our knowledge about brain function using fMRI are presented first to put the work in context. The course then provides in depth coverage of the physics of image formation, mechanisms of image contrast, and the physiological basis for image signals. Parenchymal and cerebrovascular neuroanatomy and application of sophisticated structural analysis algorithms for segmentation and registration of functional data are discussed. Additional topics include fMRI experimental design including block design, event related and exploratory data analysis methods, building and applying statistical mod

Subjects

lab | lab | magnetic resonance imaging | magnetic resonance imaging | human brain mapping | human brain mapping | function | function | image formation physics | image formation physics | psychology | psychology | image signals | image signals | parenchymal | parenchymal | cerebrovascular neuroanatomy | cerebrovascular neuroanatomy | functional data analysis | functional data analysis | experimental design | experimental design | statistical models | statistical models

License

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12.864 Inference from Data and Models (MIT) 12.864 Inference from Data and Models (MIT)

Description

The course is directed at making scientifically sensible deductions from the combination of observations with dynamics and kinematics represented, generically, as "models". There are two overlapping central themeslinear "inverse" methods and data "assimilation" including regression, singular value decomposition, objective mapping, non-stationary models and data, Kalman filters, adjoint methods ("assimilation") etc.standard time series analysis, including basic statistics, Fourier methods, spectra, coherence, filtering, etc. The course is directed at making scientifically sensible deductions from the combination of observations with dynamics and kinematics represented, generically, as "models". There are two overlapping central themeslinear "inverse" methods and data "assimilation" including regression, singular value decomposition, objective mapping, non-stationary models and data, Kalman filters, adjoint methods ("assimilation") etc.standard time series analysis, including basic statistics, Fourier methods, spectra, coherence, filtering, etc.

Subjects

observation | observation | kinematical models | kinematical models | dynamical models | dynamical models | basic statistics | basic statistics | linear algebra | linear algebra | inverse methods | inverse methods | singular value decompositions | singular value decompositions | control theory | control theory | sequential estimation | sequential estimation | Kalman filters | Kalman filters | smoothing algorithms | smoothing algorithms | adjoint/Pontryagin principle methods | adjoint/Pontryagin principle methods | model testing | model testing | stationary processes | stationary processes | Fourier methods | Fourier methods | z-transforms | z-transforms | sampling theorems | sampling theorems | spectra | spectra | multi-taper methods | multi-taper methods | coherences | coherences | filtering | filtering | quantitative combinations | quantitative combinations | realistic observations | realistic observations | data assimilations | data assimilations | deduction | deduction | regression | regression | objective mapping | objective mapping | time series analysis | time series analysis | inference | inference

License

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4.195 Special Problems in Architectural Design (MIT) 4.195 Special Problems in Architectural Design (MIT)

Description

This class focuses on representation tools used by architects during the design process and attempts to discuss the relationship they develop with the object of design. Representation plays a key role in architectural design, not only as a medium of conveying and narrating a determined meaning or a preconceived idea, but also as a code of creating new meaning, while the medium seeks to establish a relationship with itself. In this sense, mediums of representation, as external parameters to the design process, are not neutral tools of translating an idea into its concrete form. They are neither authentic means of creativity, nor vapid carriers of an idea. Therefore, an important aspect in issues of meaning is how the architect manipulates the play of translating a concept to its concrete ve This class focuses on representation tools used by architects during the design process and attempts to discuss the relationship they develop with the object of design. Representation plays a key role in architectural design, not only as a medium of conveying and narrating a determined meaning or a preconceived idea, but also as a code of creating new meaning, while the medium seeks to establish a relationship with itself. In this sense, mediums of representation, as external parameters to the design process, are not neutral tools of translating an idea into its concrete form. They are neither authentic means of creativity, nor vapid carriers of an idea. Therefore, an important aspect in issues of meaning is how the architect manipulates the play of translating a concept to its concrete ve

Subjects

representation | representation | digital media | digital media | digital design | digital design | images | images | mapping | mapping | material studies | material studies | architecture | architecture | CAD | CAD | design | design | rendering | rendering | modeling | modeling

License

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4.123 Architectural Design, Level I: Perceptions and Processes (MIT) 4.123 Architectural Design, Level I: Perceptions and Processes (MIT)

Description

This studio explores the notion of in-between by engaging several relationships; the relationship between intervention and perception, between representation and notation and between the fixed and the temporal. In the Exactitude in Science, Jorge Luis Borges tells the perverse tale of the one to one scale map, where the desire for precision and power leads to the escalating production of larger and more accurate maps of the territory. For Jean Baudrillard, "The territory no longer precedes the map nor survives it. …it is the map that precedes the territory... and thus, it would be the territory whose shreds are slowly rotting across the map." The map or the territory, left to ruin-shredding across the 'other', beautifully captures the tension between reality and representati This studio explores the notion of in-between by engaging several relationships; the relationship between intervention and perception, between representation and notation and between the fixed and the temporal. In the Exactitude in Science, Jorge Luis Borges tells the perverse tale of the one to one scale map, where the desire for precision and power leads to the escalating production of larger and more accurate maps of the territory. For Jean Baudrillard, "The territory no longer precedes the map nor survives it. …it is the map that precedes the territory... and thus, it would be the territory whose shreds are slowly rotting across the map." The map or the territory, left to ruin-shredding across the 'other', beautifully captures the tension between reality and representati

Subjects

in-between | in-between | relationships | relationships | intervention and perception | intervention and perception | representation and notation | representation and notation | fixed and temporal | fixed and temporal | Borges | Borges | mapping | mapping | territory | territory | Baudrillard | Baudrillard | the 'other' | the 'other' | reality and representation | reality and representation | collective desire and territorial surface | collective desire and territorial surface | filter | filter | create | create | frame | frame | scale | scale | orient | orient | project | project | agency | agency | landscape | landscape | architecture | architecture | urbanism | urbanism | representation versus real | representation versus real | design | design | perception | perception | representation | representation | fixed | fixed | temporal | temporal | map | map | reality | reality | collective desire | collective desire | territorial surface | territorial surface

License

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1.963 Environmental Engineering Applications of Geographic Information Systems (MIT) 1.963 Environmental Engineering Applications of Geographic Information Systems (MIT)

Description

This graduate seminar is taught in a lecture and lab exercise format. The subject matter is tailored to introduce Environmental Engineering students to the use and potential of Geographic Information Systems in their discipline. Lectures will cover the general concepts of GIS use and introduce the material in the exercises that demonstrate the practical application of GIS. This graduate seminar is taught in a lecture and lab exercise format. The subject matter is tailored to introduce Environmental Engineering students to the use and potential of Geographic Information Systems in their discipline. Lectures will cover the general concepts of GIS use and introduce the material in the exercises that demonstrate the practical application of GIS.

Subjects

GIS | GIS | Spatial Database Management | Spatial Database Management | Geographic Information Systems | Geographic Information Systems | ArcView | ArcView | census | census | SQL | SQL | databases | databases | cartography | cartography | community planning | community planning | spatial analysis | spatial analysis | wetlands management | wetlands management | data types | data types | map-making | map-making | data mapping | data mapping | hydrology | hydrology | environmental engineering | environmental engineering | deepwater habitats | deepwater habitats | salinization | salinization

License

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6.186 Mobile Autonomous Systems Laboratory (MIT) 6.186 Mobile Autonomous Systems Laboratory (MIT)

Description

MASLab (Mobile Autonomous System Laboratory), also known as 6.186, is a robotics contest. The contest takes place during MIT's Independent Activities Period and participants earn 6 units of P/F credit and 6 Engineering Design Points. Teams of three to four students have less than a month to build and program sophisticated robots which must explore an unknown playing field and perform a series of tasks. MASLab provides a significantly more difficult robotics problem than many other university-level robotics contests. Although students know the general size, shape, and color of the floors and walls, the students do not know the exact layout of the playing field. In addition, MASLab robots are completely autonomous, or in other words, the robots operate, calculate, and plan without human int MASLab (Mobile Autonomous System Laboratory), also known as 6.186, is a robotics contest. The contest takes place during MIT's Independent Activities Period and participants earn 6 units of P/F credit and 6 Engineering Design Points. Teams of three to four students have less than a month to build and program sophisticated robots which must explore an unknown playing field and perform a series of tasks. MASLab provides a significantly more difficult robotics problem than many other university-level robotics contests. Although students know the general size, shape, and color of the floors and walls, the students do not know the exact layout of the playing field. In addition, MASLab robots are completely autonomous, or in other words, the robots operate, calculate, and plan without human int

Subjects

MASLab | MASLab | mobile | mobile | autonomous systems | autonomous systems | laboratory | laboratory | robotics | robotics | competition | competition | artificial intelligence | artificial intelligence | computer vision | computer vision | camera | camera | IAP | IAP | odometry | odometry | mechanical | mechanical | sensor | sensor | microcontroller | microcontroller | computer | computer | Edwin Olson | Edwin Olson | map | map | mapping | mapping | Java | Java | ORC | ORC

License

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6.243J Dynamics of Nonlinear Systems (MIT) 6.243J Dynamics of Nonlinear Systems (MIT)

Description

This course provides an introduction to nonlinear deterministic dynamical systems. Topics covered include: nonlinear ordinary differential equations; planar autonomous systems; fundamental theory: Picard iteration, contraction mapping theorem, and Bellman-Gronwall lemma; stability of equilibria by Lyapunov's first and second methods; feedback linearization; and application to nonlinear circuits and control systems. This course provides an introduction to nonlinear deterministic dynamical systems. Topics covered include: nonlinear ordinary differential equations; planar autonomous systems; fundamental theory: Picard iteration, contraction mapping theorem, and Bellman-Gronwall lemma; stability of equilibria by Lyapunov's first and second methods; feedback linearization; and application to nonlinear circuits and control systems.

Subjects

nonlinear systems | nonlinear systems | deterministic dynamical systems | deterministic dynamical systems | ordinary differential equations | ordinary differential equations | planar autonomous systems | planar autonomous systems | Picard iteration | Picard iteration | contraction mapping theorem | contraction mapping theorem | Bellman-Gronwall lemma | Bellman-Gronwall lemma | Lyapunov methods | Lyapunov methods | feedback linearization | feedback linearization | nonlinear circuits | nonlinear circuits | control systems | control systems | local controllability | local controllability | volume evolution | volume evolution | system analysis | system analysis | singular perturbations | singular perturbations | averaging | averaging | local behavior | local behavior | trajectories | trajectories | equilibria | equilibria | storage functions | storage functions | stability analysis | stability analysis | continuity | continuity | differential equations | differential equations | system models | system models | parameters | parameters | input/output | input/output | state-space | state-space | 16.337 | 16.337

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7.89J Topics in Computational and Systems Biology (MIT) 7.89J Topics in Computational and Systems Biology (MIT)

Description

This is a seminar based on research literature. Papers covered are selected to illustrate important problems and approaches in the field of computational and systems biology, and provide students a framework from which to evaluate new developments. The MIT Initiative in Computational and Systems Biology (CSBi) is a campus-wide research and education program that links biology, engineering, and computer science in a multidisciplinary approach to the systematic analysis and modeling of complex biological phenomena. This course is one of a series of core subjects offered through the CSB Ph.D. program, for students with an interest in interdisciplinary training and research in the area of computational and systems biology. This is a seminar based on research literature. Papers covered are selected to illustrate important problems and approaches in the field of computational and systems biology, and provide students a framework from which to evaluate new developments. The MIT Initiative in Computational and Systems Biology (CSBi) is a campus-wide research and education program that links biology, engineering, and computer science in a multidisciplinary approach to the systematic analysis and modeling of complex biological phenomena. This course is one of a series of core subjects offered through the CSB Ph.D. program, for students with an interest in interdisciplinary training and research in the area of computational and systems biology.

Subjects

Computational Biology | Computational Biology | Systems Biology | Systems Biology | Genomics | Genomics | Protein Function | Protein Function | Nucleic Acid Binding Factors | Nucleic Acid Binding Factors | microarray analysis | microarray analysis | genome-wide mapping | genome-wide mapping | gene expression | gene expression | evolutionary dynamics | evolutionary dynamics | sequencing | sequencing | translation | translation | network motifs | network motifs | pathway modeling | pathway modeling | synthetic biology | synthetic biology | metagenomics | metagenomics | signal transduction | signal transduction

License

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15.821 Listening to the Customer (MIT) 15.821 Listening to the Customer (MIT)

Description

The 15.821 and 15.822 Sequence Marketing research may be divided into methods that emphasize understanding "the customer" and methods that emphasize understanding "the market." This course (15.821) deals with the customer and emphasizes qualitative methods (interviews, focus groups, Voice of the Customer, composing questions for a survey). The companion course (15.822) deals with the market and emphasizes quantitative methods (sampling, survey execution, quantitative data interpretation, conjoint analysis, factor analysis). The methods covered in 15.821 are often used in the "front-end" of market research project, whose second-stage is a quantitative survey. The quality of information gathered in the second-stage is greatly enhanced in this way. 15.821 is designed for the nonspeciali The 15.821 and 15.822 Sequence Marketing research may be divided into methods that emphasize understanding "the customer" and methods that emphasize understanding "the market." This course (15.821) deals with the customer and emphasizes qualitative methods (interviews, focus groups, Voice of the Customer, composing questions for a survey). The companion course (15.822) deals with the market and emphasizes quantitative methods (sampling, survey execution, quantitative data interpretation, conjoint analysis, factor analysis). The methods covered in 15.821 are often used in the "front-end" of market research project, whose second-stage is a quantitative survey. The quality of information gathered in the second-stage is greatly enhanced in this way. 15.821 is designed for the nonspeciali

Subjects

pricing | pricing | sequence | sequence | marketing research | marketing research | quantitative | quantitative | observation | observation | data analysis | data analysis | segmentation | segmentation | perceptual mapping | perceptual mapping | cluster | cluster | statistics | statistics

License

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15.822 Strategic Marketing Measurement (MIT) 15.822 Strategic Marketing Measurement (MIT)

Description

Marketing research may be divided into methods that emphasize understanding "the customer" and methods that emphasize understanding "the market." This course (15.822) deals with the market. The companion course (15.821) deals with the customer. The course will teach you how to write, conduct and analyze a marketing research survey. The emphasis will be on discovering market structure and segmentation, but you can pursue other project applications. A major objective of the course is to give you some "hands-on" exposure to analysis techniques that are widely used in consulting and marketing research factor analysis, perceptual mapping, conjoint, and cluster analysis). These techniques used to be considered advanced but now involve just a few keystrokes on most stat software packages. T Marketing research may be divided into methods that emphasize understanding "the customer" and methods that emphasize understanding "the market." This course (15.822) deals with the market. The companion course (15.821) deals with the customer. The course will teach you how to write, conduct and analyze a marketing research survey. The emphasis will be on discovering market structure and segmentation, but you can pursue other project applications. A major objective of the course is to give you some "hands-on" exposure to analysis techniques that are widely used in consulting and marketing research factor analysis, perceptual mapping, conjoint, and cluster analysis). These techniques used to be considered advanced but now involve just a few keystrokes on most stat software packages. T

Subjects

marketing research | marketing research | quantitative | quantitative | data analysis | data analysis | segmentation | segmentation | perceptual mapping | perceptual mapping | cluster | cluster | statistics | statistics

License

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16.660J Introduction to Lean Six Sigma Methods (MIT) 16.660J Introduction to Lean Six Sigma Methods (MIT)

Description

Includes audio/video content: AV lectures. This course covers the fundamental principles, practices and tools of Lean Six Sigma methods that underlay modern organizational productivity approaches applied in aerospace, automotive, health care, and other sectors. It includes lectures, active learning exercises, a plant tour, talks by industry practitioners, and videos. One third of the course is devoted to a physical simulation of an aircraft manufacturing enterprise or a clinic to illustrate the power of Lean Six Sigma methods. The course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month. Includes audio/video content: AV lectures. This course covers the fundamental principles, practices and tools of Lean Six Sigma methods that underlay modern organizational productivity approaches applied in aerospace, automotive, health care, and other sectors. It includes lectures, active learning exercises, a plant tour, talks by industry practitioners, and videos. One third of the course is devoted to a physical simulation of an aircraft manufacturing enterprise or a clinic to illustrate the power of Lean Six Sigma methods. The course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Subjects

16.660 | 16.660 | ESD.62 | ESD.62 | lean | lean | six sigma | six sigma | lean aerospace initiative | lean aerospace initiative | enterprise leaders | enterprise leaders | value stream mapping | value stream mapping | healthcare | healthcare | medicine | medicine | simulation | simulation | supply chain | supply chain | lean engineering | lean engineering | value stream analysis | value stream analysis | variability | variability | southwest airlines | southwest airlines | boeing | boeing | rockwell collins | rockwell collins | lockheed martin | lockheed martin

License

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16.412J Cognitive Robotics (MIT) 16.412J Cognitive Robotics (MIT)

Description

Cognitive robotics addresses the emerging field of autonomous systems possessing artificial reasoning skills. Successfully-applied algorithms and autonomy models form the basis for study, and provide students an opportunity to design such a system as part of their class project. Theory and application are linked through discussion of real systems such as the Mars Exploration Rover. Cognitive robotics addresses the emerging field of autonomous systems possessing artificial reasoning skills. Successfully-applied algorithms and autonomy models form the basis for study, and provide students an opportunity to design such a system as part of their class project. Theory and application are linked through discussion of real systems such as the Mars Exploration Rover.

Subjects

cognitive robotics | cognitive robotics | robotic systems | robotic systems | intelligence algorithms | intelligence algorithms | robustness algorithms | robustness algorithms | intelligence paradigms | intelligence paradigms | robustness paradigms | robustness paradigms | autonomous robots | autonomous robots | mars explorers | mars explorers | cooperative air vehicles | cooperative air vehicles | embedded devices | embedded devices | real-time deduction | real-time deduction | real-time search | real-time search | temporal planning | temporal planning | decision-theoretic planning | decision-theoretic planning | contingency planning | contingency planning | dynamic execution | dynamic execution | dynamics re-planning | dynamics re-planning | reasoning | reasoning | path planning | path planning | reasoning under uncertainty | reasoning under uncertainty | mapping | mapping | localization | localization | cooperative robotics | cooperative robotics | distributed robotics | distributed robotics | mars exploration rover | mars exploration rover | nursebot | nursebot | museum tourguide | museum tourguide | human-interaction systems | human-interaction systems

License

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