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15.348 Doctoral Seminar in Research Methods II (MIT) 15.348 Doctoral Seminar in Research Methods II (MIT)

Description

A large proportion of contemporary research on organizations, strategy and management relies on quantitative research methods. This course is designed to provide an introduction to some of the most commonly used quantitative techniques, including logit/probit models, count models, event history models, and pooled cross-section techniques. A large proportion of contemporary research on organizations, strategy and management relies on quantitative research methods. This course is designed to provide an introduction to some of the most commonly used quantitative techniques, including logit/probit models, count models, event history models, and pooled cross-section techniques.

Subjects

contemporary research on organizations | contemporary research on organizations | strategy and management | strategy and management | quantitative research methods | quantitative research methods | quantitative techniques | quantitative techniques | including logit/probit models | including logit/probit models | count models | count models | event history models | event history models | pooled cross-section techniques | pooled cross-section techniques

License

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15.348 Doctoral Seminar in Research Methods II (MIT) 15.348 Doctoral Seminar in Research Methods II (MIT)

Description

A large proportion of contemporary research on organizations, strategy and management relies on quantitative research methods. This course is designed to provide an introduction to some of the most commonly used quantitative techniques, including logit/probit models, count models, event history models, and pooled cross-section techniques. A large proportion of contemporary research on organizations, strategy and management relies on quantitative research methods. This course is designed to provide an introduction to some of the most commonly used quantitative techniques, including logit/probit models, count models, event history models, and pooled cross-section techniques.

Subjects

contemporary research on organizations | contemporary research on organizations | strategy and management | strategy and management | quantitative research methods | quantitative research methods | quantitative techniques | quantitative techniques | including logit/probit models | including logit/probit models | count models | count models | event history models | event history models | pooled cross-section techniques | pooled cross-section techniques

License

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

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Andy Field on teaching quantitative methods to social science students

Description

Andy Field (University of Sussex) discusses his experiences and views of what works well when teaching quantitative methods to undergraduate social science students, especially with mixed ability and low motivation students. Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Subjects

sociology | quantitative methods | statistics | learning | teaching | Social Sciences | sociology | quantitative methods | statistics | learning | teaching | Social Sciences

License

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

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Manfred te Grotenhuis on teaching quantitative methods to social science students

Description

Manfred te Grotenhuis (Radboud University Nijmegen) discusses his experiences and views of what works well when teaching quantitative methods to undergraduate social science students, especially with mixed ability and low motivation students. Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Subjects

statistics | qualitative research | research methods | quantitative research | sociology | teaching | statistics | qualitative research | research methods | quantitative research | sociology | teaching

License

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

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Paul Kellstedt on teaching quantitative methods to political science students

Description

Paul Kellstedt discusses his experiences and views of what works well when teaching quantitative methods to undergraduate political science students and other social scientists. Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Subjects

teaching | statistics | social science | political science | quantitative methods | teaching | statistics | social science | political science | quantitative methods

License

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

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Modeling individual-level heterogeneity in racial residential segregation

Description

Yu Xie (University of Michigan, Ann Arbor) explains how racial residential segregation works and how it is best modelled sociologically. Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Subjects

multi-level modelling | quantitative | residential segregation | multi-level modelling | quantitative | residential segregation | 2012-01-16

License

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Credit Crunch Live

Description

Economics students of St Edmund Hall, University of Oxford pose questions to a panel of experts about the credit crunch and global recession. Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Subjects

quantitative easing | macroeconomics | credit crunch | nationalization | money | keynesian | economics | recession | banking | bail-out | businesses | fiscal policy | nationalisation | banks | keynesianism | VAT | obama | quantitative easing | macroeconomics | credit crunch | nationalization | money | keynesian | economics | recession | banking | bail-out | businesses | fiscal policy | nationalisation | banks | keynesianism | VAT | obama

License

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

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6.441 Transmission of Information (MIT) 6.441 Transmission of Information (MIT)

Description

6.441 offers an introduction to the quantitative theory of information and its applications to reliable, efficient communication systems. Topics include: mathematical definition and properties of information; source coding theorem, lossless compression of data, optimal lossless coding; noisy communication channels, channel coding theorem, the source-channel separation theorem, multiple access channels, broadcast channels, Gaussian noise, and time-varying channels. 6.441 offers an introduction to the quantitative theory of information and its applications to reliable, efficient communication systems. Topics include: mathematical definition and properties of information; source coding theorem, lossless compression of data, optimal lossless coding; noisy communication channels, channel coding theorem, the source-channel separation theorem, multiple access channels, broadcast channels, Gaussian noise, and time-varying channels.

Subjects

transmission of information | transmission of information | quantitative theory of information | quantitative theory of information | efficient communication systems | efficient communication systems | mathematical definition of information | mathematical definition of information | properties of information | properties of information | source coding theorem | source coding theorem | lossless compression of data | lossless compression of data | optimal lossless coding | optimal lossless coding | noisy communication channels | noisy communication channels | channel coding theorem | channel coding theorem | the source-channel separation theorem | the source-channel separation theorem | multiple access channels | multiple access channels | broadcast channels | broadcast channels | gaussian noise | gaussian noise | time-varying channels | time-varying channels | lossless data compression | lossless data compression | telecommunications | telecommunications | data transmission | data transmission

License

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11.220 Quantitative Reasoning and Statistical Method for Planning I (MIT) 11.220 Quantitative Reasoning and Statistical Method for Planning I (MIT)

Description

This course develops logical, empirically based arguments using statistical techniques and analytic methods. It covers elementary statistics, probability, and other types of quantitative reasoning useful for description, estimation, comparison, and explanation. Emphasis is placed on the use and limitations of analytical techniques in planning practice. This course is required for and restricted to first-year Master in City Planning students. This course develops logical, empirically based arguments using statistical techniques and analytic methods. It covers elementary statistics, probability, and other types of quantitative reasoning useful for description, estimation, comparison, and explanation. Emphasis is placed on the use and limitations of analytical techniques in planning practice. This course is required for and restricted to first-year Master in City Planning students.

Subjects

statistics | statistics | statistical methods | statistical methods | quantitative research | quantitative research | argument | argument | measurement | measurement | research design | research design | frequency distribution | frequency distribution | histogram | histogram | stemplot | stemplot | boxplot | boxplot | dispersion | dispersion | probability | probability | normal distribution | normal distribution | binomial distribution | binomial distribution | sampling | sampling | confidence interval | confidence interval | significance | significance | correlation | correlation | regression | regression

License

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1.040 Project Management (MIT) 1.040 Project Management (MIT)

Description

As technological integration and construction complexity increase, so does construction lead times. To stay competitive companies have sought to shorten the construction times of new infrastructure by managing construction development efforts effectively by using different project management tools. In this course, three important aspects of construction project management are taught:The theory, methods and quantitative tools used to effectively plan, organize, and control construction projects;Efficient management methods revealed through practice and research;hands-on, practical project management knowledge from on-site situations.To achieve this, we will use a basic project management framework in which the project life-cycle is broken into organizing, planning, monitoring, controlling a As technological integration and construction complexity increase, so does construction lead times. To stay competitive companies have sought to shorten the construction times of new infrastructure by managing construction development efforts effectively by using different project management tools. In this course, three important aspects of construction project management are taught:The theory, methods and quantitative tools used to effectively plan, organize, and control construction projects;Efficient management methods revealed through practice and research;hands-on, practical project management knowledge from on-site situations.To achieve this, we will use a basic project management framework in which the project life-cycle is broken into organizing, planning, monitoring, controlling a

Subjects

project management | project management | quantitative tools | quantitative tools | management methods | management methods | project life cycle | project life cycle | feasibility and organization | feasibility and organization | project planning | project planning | project monitoring and control | project monitoring and control | project learning | project learning | system dynamics | system dynamics | software tools | software tools | resource constraints | resource constraints | contract mechanisms | contract mechanisms

License

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6.021J Quantitative Physiology: Cells and Tissues (MIT) 6.021J Quantitative Physiology: Cells and Tissues (MIT)

Description

This course is jointly offered through four departments, available to both undergraduates and graduates. This course introduces the principles of mass transport and electrical signal generation for biological membranes, cells, and tissues. Topics covered include: mass transport through membranes (diffusion, osmosis, chemically mediated, and active transport), electric properties of cells (ion transport), equilibrium, resting, and action potentials, kinetic and molecular properties of single voltage-gated ion channels. Laboratory and computer exercises illustrate the course concepts. Students engage in extensive written and oral communication exercises. This course is worth 4 Engineering Design Points.Technical RequirementsMATLAB® software is required to run the .m files f This course is jointly offered through four departments, available to both undergraduates and graduates. This course introduces the principles of mass transport and electrical signal generation for biological membranes, cells, and tissues. Topics covered include: mass transport through membranes (diffusion, osmosis, chemically mediated, and active transport), electric properties of cells (ion transport), equilibrium, resting, and action potentials, kinetic and molecular properties of single voltage-gated ion channels. Laboratory and computer exercises illustrate the course concepts. Students engage in extensive written and oral communication exercises. This course is worth 4 Engineering Design Points.Technical RequirementsMATLAB® software is required to run the .m files f

Subjects

quantitative physiology | quantitative physiology | cells | cells | tissues | tissues | mass transport | mass transport | electrical signal generation | electrical signal generation | biological membranes | biological membranes | membranes | membranes | diffusion | diffusion | osmosis | osmosis | chemically mediated transport | chemically mediated transport | active transport | active transport | ion transport | ion transport | 6.021 | 6.021 | 2.791 | 2.791 | 2.794 | 2.794 | 6.521 | 6.521 | BE.370 | BE.370 | BE.470 | BE.470 | HST.541 | HST.541

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

kinematical and dynamical models | kinematical and 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 of models | quantitative combinations of models

License

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HST.071 Human Reproductive Biology (MIT) HST.071 Human Reproductive Biology (MIT)

Description

Lectures, laboratory sessions, and clinical case discussions designed to provide the student with a clear understanding of the physiology, endocrinology, and pathology of human reproduction. Emphasis is on quantitative analytic techniques and the role of technology in reproductive science. The course also involves the student in the wider aspects of reproduction, such as prenatal diagnosis, in vitro fertilization, abortion, menopause, and contraception. Lectures, laboratory sessions, and clinical case discussions designed to provide the student with a clear understanding of the physiology, endocrinology, and pathology of human reproduction. Emphasis is on quantitative analytic techniques and the role of technology in reproductive science. The course also involves the student in the wider aspects of reproduction, such as prenatal diagnosis, in vitro fertilization, abortion, menopause, and contraception.

Subjects

clinical case | clinical case | physiology | physiology | endocrinology | endocrinology | pathology | pathology | human reproduction | human reproduction | quantitative analysis | quantitative analysis | reproductive technology | reproductive technology | reproduction | reproduction | prenatal diagnosis | prenatal diagnosis | in vitro fertilization | in vitro fertilization | abortion | abortion | menopause | menopause | contraception | contraception

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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17.871 Political Science Laboratory (MIT) 17.871 Political Science Laboratory (MIT)

Description

This course introduces students to the conduct of political research using quantitative methodologies. The methods are examined in the context of specific political research activities like public opinion surveys, voting behavior, Congressional behavior, comparisons of political processes in different countries, and the evaluation of public policies. Students participate in joint class projects and conduct individual projects. This course introduces students to the conduct of political research using quantitative methodologies. The methods are examined in the context of specific political research activities like public opinion surveys, voting behavior, Congressional behavior, comparisons of political processes in different countries, and the evaluation of public policies. Students participate in joint class projects and conduct individual projects.

Subjects

Political science | Political science | quantitative tools | quantitative tools | research | research | statistics | statistics | social science | social science | empirical questions | empirical questions | STATA | STATA

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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17.436 Territorial Conflict (MIT) 17.436 Territorial Conflict (MIT)

Description

This graduate seminar introduces an emerging research program within International Relations on territorial conflict. While scholars have recognized that territory has been one of the most frequent issues over which states go to war, territorial conflicts have only recently become the subject of systematic study. This course will examine why territorial conflicts arise in the first place, why some of these conflicts escalate to high levels of violence and why other territorial disputes reach settlement, thereby reducing the likelihood of war. Readings in the course draw upon political geography and history as well as qualitative and quantitative approaches to political science. This graduate seminar introduces an emerging research program within International Relations on territorial conflict. While scholars have recognized that territory has been one of the most frequent issues over which states go to war, territorial conflicts have only recently become the subject of systematic study. This course will examine why territorial conflicts arise in the first place, why some of these conflicts escalate to high levels of violence and why other territorial disputes reach settlement, thereby reducing the likelihood of war. Readings in the course draw upon political geography and history as well as qualitative and quantitative approaches to political science.

Subjects

International Relations | International Relations | territorial conflict | territorial conflict | states | states | war | war | violence | violence | political geography | political geography | history | history | qualitative | qualitative | quantitative | quantitative | methods | methods | political science | political science | nationalism | nationalism | homelands | homelands | revisionism | revisionism | expansion | expansion | Empirics | Empirics | Boundary Management | Boundary Management | Diversion | Diversion | Domestic Mobilization | Domestic Mobilization | Anarchy | Anarchy | Power. | Power.

License

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1.201J Transportation Systems Analysis: Demand and Economics (MIT) 1.201J Transportation Systems Analysis: Demand and Economics (MIT)

Description

The main objective of this course is to give broad insight into the different facets of transportation systems, while providing a solid introduction to transportation demand and cost analyses. As part of the core in the Master of Science in Transportation program, the course will not focus on a specific transportation mode but will use the various modes to apply the theoretical and analytical concepts presented in the lectures and readings. Introduces transportation systems analysis, stressing demand and economic aspects. Covers the key principles governing transportation planning, investment, operations and maintenance. Introduces the microeconomic concepts central to transportation systems. Topics covered include economic theories of the firm, the consumer, and the market, demand models, The main objective of this course is to give broad insight into the different facets of transportation systems, while providing a solid introduction to transportation demand and cost analyses. As part of the core in the Master of Science in Transportation program, the course will not focus on a specific transportation mode but will use the various modes to apply the theoretical and analytical concepts presented in the lectures and readings. Introduces transportation systems analysis, stressing demand and economic aspects. Covers the key principles governing transportation planning, investment, operations and maintenance. Introduces the microeconomic concepts central to transportation systems. Topics covered include economic theories of the firm, the consumer, and the market, demand models,

Subjects

1.201 | 1.201 | 11.545 | 11.545 | ESD.210 | ESD.210 | transportation | transportation | travel demand | travel demand | organizational models | organizational models | consumer theory | consumer theory | project finance | project finance | intelligent transportation systems | intelligent transportation systems | project evaluation | project evaluation | demand modelling | demand modelling | technology | technology | environmental | environmental | energy | energy | economic development | economic development | sustainability | sustainability | urban structure | urban structure | land use | land use | equity | equity | transportation components | transportation components | intermodal combinations | intermodal combinations | quantitative modeling | quantitative modeling | strategic regional planning | strategic regional planning | institutional change analysis | institutional change analysis | large-scale systems | large-scale systems

License

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1.203J Logistical and Transportation Planning Methods (MIT) 1.203J Logistical and Transportation Planning Methods (MIT)

Description

The class will cover quantitative techniques of Operations Research with emphasis on applications in transportation systems analysis (urban, air, ocean, highway, pick-up and delivery systems) and in the planning and design of logistically oriented urban service systems (e.g., fire and police departments, emergency medical services, emergency repair services). It presents a unified study of functions of random variables, geometrical probability, multi-server queueing theory, spatial location theory, network analysis and graph theory, and relevant methods of simulation. There will be discussion focused on the difficulty of implementation, among other topics. The class will cover quantitative techniques of Operations Research with emphasis on applications in transportation systems analysis (urban, air, ocean, highway, pick-up and delivery systems) and in the planning and design of logistically oriented urban service systems (e.g., fire and police departments, emergency medical services, emergency repair services). It presents a unified study of functions of random variables, geometrical probability, multi-server queueing theory, spatial location theory, network analysis and graph theory, and relevant methods of simulation. There will be discussion focused on the difficulty of implementation, among other topics.

Subjects

1.203 | 1.203 | 6.281 | 6.281 | 15.073 | 15.073 | 16.76 | 16.76 | ESD.216 | ESD.216 | logistics | logistics | transportation | transportation | hypercube models | hypercube models | barrier example | barrier example | operations research | operations research | spatial queues | spatial queues | queueing models | queueing models | network models | network models | TSP | TSP | heuristics | heuristics | geometrical probabilities | geometrical probabilities | Markov | Markov | quantitative techniques | quantitative techniques | transportation systems analysis | transportation systems analysis | urban service systems | urban service systems | emergency services | emergency services | random variables | random variables | multi-server queueing theory | multi-server queueing theory | spatial location theory | spatial location theory | network analysis | network analysis | graph theory | graph theory | simulation | simulation | urban OR | urban OR

License

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1.201J Introduction to Transportation Systems (MIT) 1.201J Introduction to Transportation Systems (MIT)

Description

1.201J/11.545J/ESD.210J is required for all first-year Master of Science in Transportation students. It would be of interest to, as well as accessible to, students in Urban Studies and Planning, Political Science, Technology and Policy, Management, and various engineering departments. It is a good subject for those who plan to take only one subject in transportation and serves as an entry point to other transportation subjects as well. The subject focuses on fundamental principles of transportation systems, introduces transportation systems components and networks, and addresses how one invests in and operates them effectively. The tie between transportation and related systems is emphasized. 1.201J/11.545J/ESD.210J is required for all first-year Master of Science in Transportation students. It would be of interest to, as well as accessible to, students in Urban Studies and Planning, Political Science, Technology and Policy, Management, and various engineering departments. It is a good subject for those who plan to take only one subject in transportation and serves as an entry point to other transportation subjects as well. The subject focuses on fundamental principles of transportation systems, introduces transportation systems components and networks, and addresses how one invests in and operates them effectively. The tie between transportation and related systems is emphasized.

Subjects

1.201 | 1.201 | 11.545 | 11.545 | ESD.210 | ESD.210 | transportation | technology | environmental | energy | economic development | sustainability | urban structure | land use | equity | transportation components | modes | intermodal combinations | quantitative modeling | strategic regional planning | institutional change analysis | CLIOS | large-scale systems | transportation | technology | environmental | energy | economic development | sustainability | urban structure | land use | equity | transportation components | modes | intermodal combinations | quantitative modeling | strategic regional planning | institutional change analysis | CLIOS | large-scale systems

License

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1.017 Computing and Data Analysis for Environmental Applications (MIT) 1.017 Computing and Data Analysis for Environmental Applications (MIT)

Description

This subject is a computer-oriented introduction to probability and data analysis. It is designed to give students the knowledge and practical experience they need to interpret lab and field data. Basic probability concepts are introduced at the outset because they provide a systematic way to describe uncertainty. They form the basis for the analysis of quantitative data in science and engineering. The MATLAB® programming language is used to perform virtual experiments and to analyze real-world data sets, many downloaded from the web. Programming applications include display and assessment of data sets, investigation of hypotheses, and identification of possible casual relationships between variables. This is the first semester that two courses, Computing and Data Analysis for Environm This subject is a computer-oriented introduction to probability and data analysis. It is designed to give students the knowledge and practical experience they need to interpret lab and field data. Basic probability concepts are introduced at the outset because they provide a systematic way to describe uncertainty. They form the basis for the analysis of quantitative data in science and engineering. The MATLAB® programming language is used to perform virtual experiments and to analyze real-world data sets, many downloaded from the web. Programming applications include display and assessment of data sets, investigation of hypotheses, and identification of possible casual relationships between variables. This is the first semester that two courses, Computing and Data Analysis for Environm

Subjects

probability | probability | statistics | statistics | events | events | random variables | random variables | univariate distributions | univariate distributions | multivariate distributions | multivariate distributions | uncertainty propagation | uncertainty propagation | Bernoulli trials | Bernoulli trials | Poisson processed | Poisson processed | conditional probability | conditional probability | Bayes rule | Bayes rule | random sampling | random sampling | point estimation | point estimation | interval estimation | interval estimation | hypothesis testing | hypothesis testing | analysis of variance | analysis of variance | linear regression | linear regression | computational analysis | computational analysis | data analysis | data analysis | environmental engineering | environmental engineering | applications | applications | MATLAB | MATLAB | numerical modeling | numerical modeling | probabilistic concepts | probabilistic concepts | statistical methods | statistical methods | field data | field data | laboratory data | laboratory data | numerical techniques | numerical techniques | Monte Carlo simulation | Monte Carlo simulation | variability | variability | sampling | sampling | data sets | data sets | computer | computer | uncertainty | uncertainty | interpretation | interpretation | quantitative data | quantitative data

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6.021J Quantitative Physiology: Cells and Tissues (MIT) 6.021J Quantitative Physiology: Cells and Tissues (MIT)

Description

In this subject, we consider two basic topics in cellular biophysics, posed here as questions: Which molecules are transported across cellular membranes, and what are the mechanisms of transport? How do cells maintain their compositions, volume, and membrane potential? How are potentials generated across the membranes of cells? What do these potentials do? Although the questions posed are fundamentally biological questions, the methods for answering these questions are inherently multidisciplinary. As we will see throughout the course, the role of mathematical models is to express concepts precisely enough that precise conclusions can be drawn. In connection with all the topics covered, we will consider both theory and experiment. For the student, the educational value of examining the i In this subject, we consider two basic topics in cellular biophysics, posed here as questions: Which molecules are transported across cellular membranes, and what are the mechanisms of transport? How do cells maintain their compositions, volume, and membrane potential? How are potentials generated across the membranes of cells? What do these potentials do? Although the questions posed are fundamentally biological questions, the methods for answering these questions are inherently multidisciplinary. As we will see throughout the course, the role of mathematical models is to express concepts precisely enough that precise conclusions can be drawn. In connection with all the topics covered, we will consider both theory and experiment. For the student, the educational value of examining the i

Subjects

quantitative physiology | quantitative physiology | cells | cells | tissues | tissues | mass transport | mass transport | electrical signal generation | electrical signal generation | biological membranes | biological membranes | membranes | membranes | diffusion | diffusion | osmosis | osmosis | chemically mediated transport | chemically mediated transport | active transport | active transport | ion transport | ion transport | equilibrium potential | equilibrium potential | resting potential | resting potential | action potential | action potential | voltage-gated ion channels | voltage-gated ion channels | 6.021 | 6.021 | 2.791 | 2.791 | 2.794 | 2.794 | 6.521 | 6.521 | 20.370 | 20.370 | 20.470 | 20.470 | HST.541 | HST.541

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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

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Statistical Methods for Planners I (MIT) Statistical Methods for Planners I (MIT)

Description

This course develops logical, empirically based arguments using statistical techniques and analytic methods. Elementary statistics, probability, and other types of quantitative reasoning useful for description, estimation, comparison, and explanation are covered. Emphasis is on the use and limitations of analytical techniques in planning practice. This course develops logical, empirically based arguments using statistical techniques and analytic methods. Elementary statistics, probability, and other types of quantitative reasoning useful for description, estimation, comparison, and explanation are covered. Emphasis is on the use and limitations of analytical techniques in planning practice.

Subjects

statistics | statistics | statistical methods | statistical methods | quantitative reasoning | quantitative reasoning | variability | variability | numeracy | numeracy | measurement | measurement | stata | stata | logic | logic | probability | probability | inferential statistics | inferential statistics | regression | regression | census | census | bivariate | bivariate | multivariate | multivariate | normal curve | normal curve | research design | research design | decision tree | decision tree | utility | utility | planning | planning | distribution | distribution | city planning | city planning | scatterplot | scatterplot

License

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11.941 Learning by Comparison: First World/Third World Cities (MIT) 11.941 Learning by Comparison: First World/Third World Cities (MIT)

Description

The primary purpose of this seminar is to enable students to craft approaches to so-called "First World"/ "Third World" city comparisons that are theoretically sophisticated, methodologically rigorous, contextually grounded, and significantly beneficial. Since there exists very little literature and very few projects which compare "First World" and "Third World" cities in a sophisticated and genuinely useful manner, the seminar is structured around a series of readings, case studies, and discussions to assist students in becoming mindful of the potential and pitfalls of comparative analysis, the types of data, the methods of analysis, and the urban issues or sectors which may benefit the most from such approaches. The course is designed to be interdisciplinary and interactive, and The primary purpose of this seminar is to enable students to craft approaches to so-called "First World"/ "Third World" city comparisons that are theoretically sophisticated, methodologically rigorous, contextually grounded, and significantly beneficial. Since there exists very little literature and very few projects which compare "First World" and "Third World" cities in a sophisticated and genuinely useful manner, the seminar is structured around a series of readings, case studies, and discussions to assist students in becoming mindful of the potential and pitfalls of comparative analysis, the types of data, the methods of analysis, and the urban issues or sectors which may benefit the most from such approaches. The course is designed to be interdisciplinary and interactive, and

Subjects

urban studies | urban studies | first third | first third | world | world | comparison | comparison | city | city | globalization | globalization | multicultural | multicultural | qualitative methods | qualitative methods | quantitative methods | quantitative methods | cultural analysis | cultural analysis | urban | urban | comparative case studies | comparative case studies | policy | policy

License

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

Description

This course covers the fundamental methods used for exploring the information content of observations related to kinematical and dynamical models. This course covers the fundamental methods used for exploring the information content of observations related to kinematical and dynamical models.

Subjects

kinematical and dynamical models | kinematical and 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 of models | quantitative combinations of models

License

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