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4.42J Fundamentals of Energy in Buildings (MIT) 4.42J Fundamentals of Energy in Buildings (MIT)

Description

4.42J (or 2.66J or 1.044J), Fundamentals of Energy in Buildings, is an undergraduate class offered in the Department of Architecture, and jointly in the Department of Civil and Environmental Engineering and the Department of Mechanical Engineering. It provides a first course in thermo-sciences for students primarily interested in architecture and building technology. Throughout the course, the fundamentals important to energy, ventilation, air conditioning and comfort in buildings are introduced.  Two design projects play a major part in this class. They will require creative use of the principles and information given in the course to solve a particular problem, relating to energy consumption in buildings. The students will be asked to propose and assess innovativ 4.42J (or 2.66J or 1.044J), Fundamentals of Energy in Buildings, is an undergraduate class offered in the Department of Architecture, and jointly in the Department of Civil and Environmental Engineering and the Department of Mechanical Engineering. It provides a first course in thermo-sciences for students primarily interested in architecture and building technology. Throughout the course, the fundamentals important to energy, ventilation, air conditioning and comfort in buildings are introduced.  Two design projects play a major part in this class. They will require creative use of the principles and information given in the course to solve a particular problem, relating to energy consumption in buildings. The students will be asked to propose and assess innovativ

Subjects

energy in buildings | energy in buildings | thermo-sciences | thermo-sciences | energy | energy | ventilation | ventilation | air conditioning and comfort in buildings | air conditioning and comfort in buildings | thermodynamics | thermodynamics | electricity | electricity | architecture | architecture | building technology | building technology | civil engineering | civil engineering | buildings | buildings | conservation of energy | conservation of energy | air-water vapor mixtures | air-water vapor mixtures | thermal comfort | thermal comfort | heat pumps | heat pumps | refrigeration cycles | refrigeration cycles | thermodynamic performance | thermodynamic performance | heat transfer | heat transfer | creative design projects | creative design projects | air conditioning | air conditioning | energy consumption | energy consumption | building designs | building designs | building technologies | building technologies | operating schemes | operating schemes | properties of gases | properties of gases | properties of liquids | properties of liquids | power producing systems | power producing systems | energy losses | energy losses | building envelope | building envelope | 4.42 | 4.42 | 1.044 | 1.044 | 2.66 | 2.66

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Classical conditioning

Description

A learning object produced for the X4L Colossus Project. It discusses Pavlov's discovery of classical conditioning when working in his laboratory, and its influence on the development of behaviourist psychology.

Subjects

classical conditioning | colossus project | conditioning theory | hart | psychology | stevenson college edinburgh | x4l | pavlov | conditioning | colossus | classical | Biological Sciences | SAFETY | Teaching | Design and delivery of programmes | UK EL09 = SCQF 9 | Ordinary degree | NICAT 6 | CQFW 6 | NVQ 5 | SVQ 5 | Ordinary degree | Graduate certific | Biological sciences | C000 | HEALTH CARE / MEDICINE / HEALTH and SAFETY | P

License

Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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18.335J Introduction to Numerical Methods (MIT) 18.335J Introduction to Numerical Methods (MIT)

Description

This course offers an advanced introduction to numerical linear algebra. Topics include direct and iterative methods for linear systems, eigenvalue decompositions and QR/SVD factorizations, stability and accuracy of numerical algorithms, the IEEE floating point standard, sparse and structured matrices, preconditioning, linear algebra software. Problem sets require some knowledge of MATLAB®. This course offers an advanced introduction to numerical linear algebra. Topics include direct and iterative methods for linear systems, eigenvalue decompositions and QR/SVD factorizations, stability and accuracy of numerical algorithms, the IEEE floating point standard, sparse and structured matrices, preconditioning, linear algebra software. Problem sets require some knowledge of MATLAB®.

Subjects

numerical linear algebra | numerical linear algebra | linear systems | linear systems | eigenvalue decomposition | eigenvalue decomposition | QR/SVD factorization | QR/SVD factorization | numerical algorithms | numerical algorithms | IEEE floating point standard | IEEE floating point standard | sparse matrices | sparse matrices | structured matrices | structured matrices | preconditioning | preconditioning | linear algebra software | linear algebra software | Matlab | Matlab

License

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4.42J Fundamentals of Energy in Buildings (MIT) 4.42J Fundamentals of Energy in Buildings (MIT)

Description

This subject provides a first course in thermo-sciences for students primarily interested in architecture and building technology. It introduces the fundamentals important to energy, ventilation, air conditioning and comfort in buildings. It includes a detailed treatment of different forms of energy, energy conservation, properties of gases and liquids, air-water vapor mixtures and performance limits for air conditioning and power producing systems. Heat transfer principles are introduced with applications to energy losses from a building envelope. The subject is a prerequisite for more advanced thermo-science subjects in Architecture and Mechanical Engineering. This subject provides a first course in thermo-sciences for students primarily interested in architecture and building technology. It introduces the fundamentals important to energy, ventilation, air conditioning and comfort in buildings. It includes a detailed treatment of different forms of energy, energy conservation, properties of gases and liquids, air-water vapor mixtures and performance limits for air conditioning and power producing systems. Heat transfer principles are introduced with applications to energy losses from a building envelope. The subject is a prerequisite for more advanced thermo-science subjects in Architecture and Mechanical Engineering.

Subjects

energy in buildings | energy in buildings | ventilation | ventilation | air conditioning | air conditioning | forms of energy | forms of energy | energy conservation | energy conservation | heat transfer | heat transfer | energy losses from buildings | energy losses from buildings

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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18.175 Theory of Probability (MIT) 18.175 Theory of Probability (MIT)

Description

This course covers the laws of large numbers and central limit theorems for sums of independent random variables. It also analyzes topics such as the conditioning and martingales, the Brownian motion and the elements of diffusion theory. This course covers the laws of large numbers and central limit theorems for sums of independent random variables. It also analyzes topics such as the conditioning and martingales, the Brownian motion and the elements of diffusion theory.

Subjects

Earth | Earth | Solar System | Solar System | Geophysics | Geophysics | Gravitational Field | Gravitational Field | Magnetic Field | Magnetic Field | Seismology | Seismology | Geodynamics | Geodynamics | Laws of large numbers | Laws of large numbers | central limit theorems for sums of independent random variables | central limit theorems for sums of independent random variables | conditioning and martingales | conditioning and martingales | Brownian motion and elements of diffusion theory | Brownian motion and elements of diffusion theory | functional limit theorems | functional limit theorems

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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18.175 Theory of Probability (MIT) 18.175 Theory of Probability (MIT)

Description

This course covers the laws of large numbers and central limit theorems for sums of independent random variables. It also analyzes topics such as the conditioning and martingales, the Brownian motion and the elements of diffusion theory. This course covers the laws of large numbers and central limit theorems for sums of independent random variables. It also analyzes topics such as the conditioning and martingales, the Brownian motion and the elements of diffusion theory.

Subjects

Earth | Earth | Solar System | Solar System | Geophysics | Geophysics | Gravitational Field | Gravitational Field | Magnetic Field | Magnetic Field | Seismology | Seismology | Geodynamics | Geodynamics | Laws of large numbers | Laws of large numbers | central limit theorems for sums of independent random variables | central limit theorems for sums of independent random variables | conditioning and martingales | conditioning and martingales | Brownian motion and elements of diffusion theory | Brownian motion and elements of diffusion theory | functional limit theorems | functional limit theorems

License

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4.42J Fundamentals of Energy in Buildings (MIT) 4.42J Fundamentals of Energy in Buildings (MIT)

Description

This design-based subject provides a first course in energy and thermo-sciences with applications to sustainable energy-efficient architecture and building technology. No previous experience with subject matter is assumed. After taking this subject, students will understand introductory thermodynamics and heat transfer, know the leading order factors in building energy use, and have creatively employed their understanding of energy fundamentals and knowledge of building energy use in innovative building design projects. This year, the focus will be on design projects that will complement the new NSTAR/MIT campus efficiency program. This design-based subject provides a first course in energy and thermo-sciences with applications to sustainable energy-efficient architecture and building technology. No previous experience with subject matter is assumed. After taking this subject, students will understand introductory thermodynamics and heat transfer, know the leading order factors in building energy use, and have creatively employed their understanding of energy fundamentals and knowledge of building energy use in innovative building design projects. This year, the focus will be on design projects that will complement the new NSTAR/MIT campus efficiency program.

Subjects

energy in buildings | energy in buildings | ventilation | ventilation | air conditioning | air conditioning | forms of energy | forms of energy | energy conservation | energy conservation | heat transfer | heat transfer | energy losses from buildings | energy losses from buildings

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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1.105 Solid Mechanics Laboratory (MIT) 1.105 Solid Mechanics Laboratory (MIT)

Description

This course introduces students to basic properties of structural materials and behavior of simple structural elements and systems through a series of experiments. Students learn experimental technique, data collection, reduction and analysis, and presentation of results. Students generally take this subject during the same semester as 1.050, Solid Mechanics. This course introduces students to basic properties of structural materials and behavior of simple structural elements and systems through a series of experiments. Students learn experimental technique, data collection, reduction and analysis, and presentation of results. Students generally take this subject during the same semester as 1.050, Solid Mechanics.

Subjects

properties of structural materials | properties of structural materials | structural elements | structural elements | structural systems | structural systems | experimental technique | experimental technique | data collection | data collection | reduction | reduction | analysis | analysis | presentation | presentation | properties | properties | structural materials | structural materials | structural behavior | structural behavior | simple structural elements | simple structural elements | simple structural systems | simple structural systems | laboratory experiments | laboratory experiments | data reduction | data reduction | data analysis | data analysis | solid mechanics | solid mechanics | loading | loading | observation | observation | measurement | measurement | force | force | displacement | displacement | stiffness | stiffness | failure modes | failure modes | failure mechanisms | failure mechanisms | instrumentation | instrumentation | resolution | resolution | range | range | transducer response | transducer response | signal conditioning | signal conditioning | experimental design | experimental design | report writing | report writing

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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2.996 Biomedical Devices Design Laboratory (MIT) 2.996 Biomedical Devices Design Laboratory (MIT)

Description

This course provides intensive coverage of the theory and practice of electromechanical instrument design with application to biomedical devices. Students will work with MGH doctors to develop new medical products from concept to prototype development and testing. Lectures will present techniques for designing electronic circuits as part of complete sensor systems. Topics covered include: basic electronics circuits, principles of accuracy, op amp circuits, analog signal conditioning, power supplies, microprocessors, wireless communications, sensors, and sensor interface circuits. Labs will cover practical printed circuit board (PCB) design including component selection, PCB layout, assembly, and planning and budgeting for large projects. Problem sets and labs in the first six weeks are in This course provides intensive coverage of the theory and practice of electromechanical instrument design with application to biomedical devices. Students will work with MGH doctors to develop new medical products from concept to prototype development and testing. Lectures will present techniques for designing electronic circuits as part of complete sensor systems. Topics covered include: basic electronics circuits, principles of accuracy, op amp circuits, analog signal conditioning, power supplies, microprocessors, wireless communications, sensors, and sensor interface circuits. Labs will cover practical printed circuit board (PCB) design including component selection, PCB layout, assembly, and planning and budgeting for large projects. Problem sets and labs in the first six weeks are in

Subjects

biomedical devices | biomedical devices | electrical engineering in medicine | electrical engineering in medicine | basic electronic circuits | basic electronic circuits | op amp | op amp | op amp circuits | op amp circuits | analog signal conditioning | analog signal conditioning | microprocessors | microprocessors | wireless communication | wireless communication | PCB design | PCB design | printed circuit board | printed circuit board | microprocessor programming | microprocessor programming

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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14.13 Economics and Psychology (MIT) 14.13 Economics and Psychology (MIT)

Description

This course integrates psychological insights into economic models of behavior. It discusses the limitations of standard economic models and surveys the ways in which psychological experiments have been used to learn about preferences, cognition, and behavior. Topics include: trust, vengeance, fairness, impatience, impulsivity, bounded rationality, learning, reinforcement, classical conditioning, loss-aversion, over-confidence, self-serving biases, cognitive dissonance, altruism, subjective well-being, and hedonic adaptation. Economic concepts such as equilibrium, rational choice, utility maximization, Bayesian beliefs, game theory, and behavior under uncertainty are discussed in light of these phenomena. This course integrates psychological insights into economic models of behavior. It discusses the limitations of standard economic models and surveys the ways in which psychological experiments have been used to learn about preferences, cognition, and behavior. Topics include: trust, vengeance, fairness, impatience, impulsivity, bounded rationality, learning, reinforcement, classical conditioning, loss-aversion, over-confidence, self-serving biases, cognitive dissonance, altruism, subjective well-being, and hedonic adaptation. Economic concepts such as equilibrium, rational choice, utility maximization, Bayesian beliefs, game theory, and behavior under uncertainty are discussed in light of these phenomena.

Subjects

behavioral economics | behavioral economics | finance | finance | psychology | psychology | prospect | prospect | prospect theory | prospect theory | bias | bias | probabilistic judgment | probabilistic judgment | self-control | self-control | mental accounting | mental accounting | fairness | fairness | altruism | altruism | public goods | public goods | market anomalies | market anomalies | market theories | market theories | economics | economics | behavior | behavior | preferences | preferences | cognition | cognition | trust | trust | vengence | vengence | impatience | impatience | impulsivity | impulsivity | bounded rationality | bounded rationality | learning | learning | reinforcement | reinforcement | classical conditioning | classical conditioning | loss-aversion | loss-aversion | over-confidence | over-confidence | self-serving biases | self-serving biases | cognitive dissonance | cognitive dissonance | subjective well-being | subjective well-being | hedonic adaptation | hedonic adaptation | equilibrium | equilibrium | rational choice | rational choice | utility maximization | utility maximization | Bayesian beliefs | Bayesian beliefs | game theory | game theory | neuroeconomics | neuroeconomics

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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18.335J Introduction to Numerical Methods (MIT) 18.335J Introduction to Numerical Methods (MIT)

Description

This course offers an advanced introduction to numerical linear algebra. Topics include direct and iterative methods for linear systems, eigenvalue decompositions and QR/SVD factorizations, stability and accuracy of numerical algorithms, the IEEE floating point standard, sparse and structured matrices, preconditioning, linear algebra software. Problem sets require some knowledge of MATLAB®. This course offers an advanced introduction to numerical linear algebra. Topics include direct and iterative methods for linear systems, eigenvalue decompositions and QR/SVD factorizations, stability and accuracy of numerical algorithms, the IEEE floating point standard, sparse and structured matrices, preconditioning, linear algebra software. Problem sets require some knowledge of MATLAB®.

Subjects

numerical linear algebra | numerical linear algebra | linear systems | linear systems | eigenvalue decomposition | eigenvalue decomposition | QR/SVD factorization | QR/SVD factorization | numerical algorithms | numerical algorithms | IEEE floating point standard | IEEE floating point standard | sparse matrices | sparse matrices | structured matrices | structured matrices | preconditioning | preconditioning | linear algebra software | linear algebra software | Matlab | Matlab

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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18.336 Numerical Methods for Partial Differential Equations (MIT) 18.336 Numerical Methods for Partial Differential Equations (MIT)

Description

This graduate-level course is an advanced introduction to applications and theory of numerical methods for solution of differential equations. In particular, the course focuses on physically-arising partial differential equations, with emphasis on the fundamental ideas underlying various methods. This graduate-level course is an advanced introduction to applications and theory of numerical methods for solution of differential equations. In particular, the course focuses on physically-arising partial differential equations, with emphasis on the fundamental ideas underlying various methods.

Subjects

advection equation | advection equation | heat equation | heat equation | wave equation | wave equation | Airy equation | Airy equation | convection-diffusion problems | convection-diffusion problems | KdV equation | KdV equation | hyperbolic conservation laws | hyperbolic conservation laws | Poisson equation | Poisson equation | Stokes problem | Stokes problem | Navier-Stokes equations | Navier-Stokes equations | interface problems | interface problems | consistency | consistency | stability | stability | convergence | convergence | Lax equivalence theorem | Lax equivalence theorem | error analysis | error analysis | Fourier approaches | Fourier approaches | staggered grids | staggered grids | shocks | shocks | front propagation | front propagation | preconditioning | preconditioning | multigrid | multigrid | Krylov spaces | Krylov spaces | saddle point problems | saddle point problems | finite differences | finite differences | finite volumes | finite volumes | finite elements | finite elements | ENO/WENO | ENO/WENO | spectral methods | spectral methods | projection approaches for incompressible ows | projection approaches for incompressible ows | level set methods | level set methods | particle methods | particle methods | direct and iterative methods | direct and iterative methods

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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18.175 Theory of Probability (MIT) 18.175 Theory of Probability (MIT)

Description

This course covers topics such as sums of independent random variables, central limit phenomena, infinitely divisible laws, Levy processes, Brownian motion, conditioning, and martingales. This course covers topics such as sums of independent random variables, central limit phenomena, infinitely divisible laws, Levy processes, Brownian motion, conditioning, and martingales.

Subjects

Laws of large numbers | Laws of large numbers | central limit theorems | central limit theorems | independent random variables | independent random variables | conditioning | conditioning | martingales | martingales | Brownian motion | Brownian motion | elements of diffusion theory | elements of diffusion theory | functional limit theorems | functional limit theorems

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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18.175 Theory of Probability (MIT) 18.175 Theory of Probability (MIT)

Description

This course covers the laws of large numbers and central limit theorems for sums of independent random variables. It also analyzes topics such as the conditioning and martingales, the Brownian motion and the elements of diffusion theory. This course covers the laws of large numbers and central limit theorems for sums of independent random variables. It also analyzes topics such as the conditioning and martingales, the Brownian motion and the elements of diffusion theory.

Subjects

Earth | Earth | Solar System | Solar System | Geophysics | Geophysics | Gravitational Field | Gravitational Field | Magnetic Field | Magnetic Field | Seismology | Seismology | Geodynamics | Geodynamics | Laws of large numbers | Laws of large numbers | central limit theorems for sums of independent random variables | central limit theorems for sums of independent random variables | conditioning and martingales | conditioning and martingales | Brownian motion and elements of diffusion theory | Brownian motion and elements of diffusion theory | functional limit theorems | functional limit theorems

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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DG6L34 Consumer Behaviour and the Marketing Process

Description

This unit is designed to enable the candidate to analyse the influences of consumer behaviour on the marketing process. It is intended for candidates who have no previous knowledge of psychological and sociological theory and will introduce them to the major relevant influences from those disciplines that marketing professionals must consider when making decisions. On completion of the unit, the candidate should be able to: • analyse the psychological factors influencing consumer behaviour • analyse the sociological factors influencing consumer behaviour.

Subjects

DG6L 34 | Pavlovian classical conditioning | Skinner’s operant conditioning | Thorndyke’s law of effect | perception process | Organisation of perception | Shifting perceptions | Perceptual filtering | Maslow’s hierarchy of needs | Freud’s dynamic model | Non-Freudian personality theory | Trait theory | Groups | Status drive | SCQF Level 7

License

Licensed to colleges in Scotland only Licensed to colleges in Scotland only Except where expressly indicated otherwise on the face of these materials (i) copyright in these materials is owned by the Scottish Qualification Authority (SQA), and (ii) none of these materials may be Used without the express, prior, written consent of the Colleges Open Learning Exchange Group (COLEG) and SQA, except if and to the extent that such Use is permitted under COLEG's conditions of Contribution and Use of Learning Materials through COLEG’s Repository, for the purposes of which these materials are COLEG Materials. Except where expressly indicated otherwise on the face of these materials (i) copyright in these materials is owned by the Scottish Qualification Authority (SQA), and (ii) none of these materials may be Used without the express, prior, written consent of the Colleges Open Learning Exchange Group (COLEG) and SQA, except if and to the extent that such Use is permitted under COLEG's conditions of Contribution and Use of Learning Materials through COLEG’s Repository, for the purposes of which these materials are COLEG Materials. http://content.resourceshare.ac.uk/xmlui/bitstream/handle/10949/17761/LicenceSQAMaterialsCOLEG.pdf?sequence=1 http://content.resourceshare.ac.uk/xmlui/bitstream/handle/10949/17761/LicenceSQAMaterialsCOLEG.pdf?sequence=1 SQA SQA

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4.42J Fundamentals of Energy in Buildings (MIT)

Description

4.42J (or 2.66J or 1.044J), Fundamentals of Energy in Buildings, is an undergraduate class offered in the Department of Architecture, and jointly in the Department of Civil and Environmental Engineering and the Department of Mechanical Engineering. It provides a first course in thermo-sciences for students primarily interested in architecture and building technology. Throughout the course, the fundamentals important to energy, ventilation, air conditioning and comfort in buildings are introduced.  Two design projects play a major part in this class. They will require creative use of the principles and information given in the course to solve a particular problem, relating to energy consumption in buildings. The students will be asked to propose and assess innovativ

Subjects

energy in buildings | thermo-sciences | energy | ventilation | air conditioning and comfort in buildings | thermodynamics | electricity | architecture | building technology | civil engineering | buildings | conservation of energy | air-water vapor mixtures | thermal comfort | heat pumps | refrigeration cycles | thermodynamic performance | heat transfer | creative design projects | air conditioning | energy consumption | building designs | building technologies | operating schemes | properties of gases | properties of liquids | power producing systems | energy losses | building envelope | 4.42 | 1.044 | 2.66

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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18.175 Theory of Probability (MIT)

Description

This course covers the laws of large numbers and central limit theorems for sums of independent random variables. It also analyzes topics such as the conditioning and martingales, the Brownian motion and the elements of diffusion theory.

Subjects

Earth | Solar System | Geophysics | Gravitational Field | Magnetic Field | Seismology | Geodynamics | Laws of large numbers | central limit theorems for sums of independent random variables | conditioning and martingales | Brownian motion and elements of diffusion theory | functional limit theorems

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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14.13 Economics and Psychology (MIT)

Description

This course integrates psychological insights into economic models of behavior. It discusses the limitations of standard economic models and surveys the ways in which psychological experiments have been used to learn about preferences, cognition, and behavior. Topics include: trust, vengeance, fairness, impatience, impulsivity, bounded rationality, learning, reinforcement, classical conditioning, loss-aversion, over-confidence, self-serving biases, cognitive dissonance, altruism, subjective well-being, and hedonic adaptation. Economic concepts such as equilibrium, rational choice, utility maximization, Bayesian beliefs, game theory, and behavior under uncertainty are discussed in light of these phenomena.

Subjects

behavioral economics | finance | psychology | prospect | prospect theory | bias | probabilistic judgment | self-control | mental accounting | fairness | altruism | public goods | market anomalies | market theories | economics | behavior | preferences | cognition | trust | vengence | impatience | impulsivity | bounded rationality | learning | reinforcement | classical conditioning | loss-aversion | over-confidence | self-serving biases | cognitive dissonance | subjective well-being | hedonic adaptation | equilibrium | rational choice | utility maximization | Bayesian beliefs | game theory | neuroeconomics

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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The Psychology of Learning and Behavior

Description

This course introduces learners to the principles of learning and behavior by surveying relevant theoretical and empirical approaches within psychology. The overall emphasis is on the theoretical foundations of psychology as they relate to human learning and behavior. This free course may be completed online at any time. See course site for detailed overview and learning outcomes. (Psychology 305)

Subjects

connectionism | conditioning | behaviorism | social learning theory | cognitive theory | learning | Social studies | L000

License

Attribution 2.0 UK: England & Wales Attribution 2.0 UK: England & Wales http://creativecommons.org/licenses/by/2.0/uk/ http://creativecommons.org/licenses/by/2.0/uk/

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18.175 Theory of Probability (MIT)

Description

This course covers the laws of large numbers and central limit theorems for sums of independent random variables. It also analyzes topics such as the conditioning and martingales, the Brownian motion and the elements of diffusion theory.

Subjects

Earth | Solar System | Geophysics | Gravitational Field | Magnetic Field | Seismology | Geodynamics | Laws of large numbers | central limit theorems for sums of independent random variables | conditioning and martingales | Brownian motion and elements of diffusion theory | functional limit theorems

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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18.335J Introduction to Numerical Methods (MIT)

Description

This course offers an advanced introduction to numerical linear algebra. Topics include direct and iterative methods for linear systems, eigenvalue decompositions and QR/SVD factorizations, stability and accuracy of numerical algorithms, the IEEE floating point standard, sparse and structured matrices, preconditioning, linear algebra software. Problem sets require some knowledge of MATLAB®.

Subjects

numerical linear algebra | linear systems | eigenvalue decomposition | QR/SVD factorization | numerical algorithms | IEEE floating point standard | sparse matrices | structured matrices | preconditioning | linear algebra software | Matlab

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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4.42J Fundamentals of Energy in Buildings (MIT)

Description

This subject provides a first course in thermo-sciences for students primarily interested in architecture and building technology. It introduces the fundamentals important to energy, ventilation, air conditioning and comfort in buildings. It includes a detailed treatment of different forms of energy, energy conservation, properties of gases and liquids, air-water vapor mixtures and performance limits for air conditioning and power producing systems. Heat transfer principles are introduced with applications to energy losses from a building envelope. The subject is a prerequisite for more advanced thermo-science subjects in Architecture and Mechanical Engineering.

Subjects

energy in buildings | ventilation | air conditioning | forms of energy | energy conservation | heat transfer | energy losses from buildings

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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18.175 Theory of Probability (MIT)

Description

This course covers the laws of large numbers and central limit theorems for sums of independent random variables. It also analyzes topics such as the conditioning and martingales, the Brownian motion and the elements of diffusion theory.

Subjects

Earth | Solar System | Geophysics | Gravitational Field | Magnetic Field | Seismology | Geodynamics | Laws of large numbers | central limit theorems for sums of independent random variables | conditioning and martingales | Brownian motion and elements of diffusion theory | functional limit theorems

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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18.175 Theory of Probability (MIT)

Description

This course covers the laws of large numbers and central limit theorems for sums of independent random variables. It also analyzes topics such as the conditioning and martingales, the Brownian motion and the elements of diffusion theory.

Subjects

Earth | Solar System | Geophysics | Gravitational Field | Magnetic Field | Seismology | Geodynamics | Laws of large numbers | central limit theorems for sums of independent random variables | conditioning and martingales | Brownian motion and elements of diffusion theory | functional limit theorems

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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4.42J Fundamentals of Energy in Buildings (MIT)

Description

This design-based subject provides a first course in energy and thermo-sciences with applications to sustainable energy-efficient architecture and building technology. No previous experience with subject matter is assumed. After taking this subject, students will understand introductory thermodynamics and heat transfer, know the leading order factors in building energy use, and have creatively employed their understanding of energy fundamentals and knowledge of building energy use in innovative building design projects. This year, the focus will be on design projects that will complement the new NSTAR/MIT campus efficiency program.

Subjects

energy in buildings | ventilation | air conditioning | forms of energy | energy conservation | heat transfer | energy losses from buildings

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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