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ón Corporativos ón Corporativos

Description

La asignatura se basa en la aplicación de los métodos Team Software Process y Personal Software Process para la construcción de Sistemas de Información desde la perspectiva de la mejora del trabajo del Ingeniero de Softwareen los planos personal y grupal. La asignatura se basa en la aplicación de los métodos Team Software Process y Personal Software Process para la construcción de Sistemas de Información desde la perspectiva de la mejora del trabajo del Ingeniero de Softwareen los planos personal y grupal.

Subjects

Proceso de Software Personal | Proceso de Software Personal | ía del Software | ía del Software | Software Engineering | Software Engineering | Personal Software Process | Personal Software Process | ía en Informática | ía en Informática | áticos | áticos | 2008 | 2008 | Team Software Process | Team Software Process | Proceso de Software en equipo | Proceso de Software en equipo

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Copyright 2015, UC3M http://creativecommons.org/licenses/by-nc-sa/4.0/

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Service Engineering Laboratory Service Engineering Laboratory

Description

The aim of the Service Engineering Laboratory is to explore the concepts of network based services by carrying out practical laboratory work that allows deeper understanding of the requirements and best practices for network services. Students will carry out practical work on protocols and service provision in wireless networks. The aim of the Service Engineering Laboratory is to explore the concepts of network based services by carrying out practical laboratory work that allows deeper understanding of the requirements and best practices for network services. Students will carry out practical work on protocols and service provision in wireless networks.

Subjects

WLAN | WLAN | ía de Telecomunicación | ía de Telecomunicación | MMS | MMS | 2010 | 2010 | Service Engineering | Service Engineering | Laboratory | Laboratory | XHTML | XHTML | ía Telemática | ía Telemática | Android | Android | WAP | WAP

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2.672 Projects Laboratory (MIT) 2.672 Projects Laboratory (MIT)

Description

This is an engineering laboratory subject for mechanical engineering juniors and seniors. Major emphasis is on interplay between analytical and experimental methods in solution of research and development problems. Communication (written and oral) of results is also a strong component of the course. Groups of two or three students work together on three projects during the term. This is an engineering laboratory subject for mechanical engineering juniors and seniors. Major emphasis is on interplay between analytical and experimental methods in solution of research and development problems. Communication (written and oral) of results is also a strong component of the course. Groups of two or three students work together on three projects during the term.

Subjects

Engineering laboratory | Engineering laboratory | mechanical engineering | mechanical engineering | juniors | juniors | seniors | seniors | analytical and experimental methods | analytical and experimental methods | research and development problems | research and development problems | Communication (written and oral) | Communication (written and oral) | projects | projects | analytical method | analytical method | experimental method | experimental method | research and development | research and development | D | D

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IV (MIT) IV (MIT)

Description

The basic objective of Unified Engineering is to give a solid understanding of the fundamental disciplines of aerospace engineering, as well as their interrelationships and applications. These disciplines are Materials and Structures (M); Computers and Programming (C); Fluid Mechanics (F); Thermodynamics (T); Propulsion (P); and Signals and Systems (S). In choosing to teach these subjects in a unified manner, the instructors seek to explain the common intellectual threads in these disciplines, as well as their combined application to solve engineering Systems Problems (SP). Throughout the year, the instructors emphasize the connections among the disciplines.Technical RequirementsMicrosoft® Excel software is recommended for viewing the .xls files The basic objective of Unified Engineering is to give a solid understanding of the fundamental disciplines of aerospace engineering, as well as their interrelationships and applications. These disciplines are Materials and Structures (M); Computers and Programming (C); Fluid Mechanics (F); Thermodynamics (T); Propulsion (P); and Signals and Systems (S). In choosing to teach these subjects in a unified manner, the instructors seek to explain the common intellectual threads in these disciplines, as well as their combined application to solve engineering Systems Problems (SP). Throughout the year, the instructors emphasize the connections among the disciplines.Technical RequirementsMicrosoft® Excel software is recommended for viewing the .xls files

Subjects

Unified | Unified | Unified Engineering | Unified Engineering | aerospace | aerospace | CDIO | CDIO | C-D-I-O | C-D-I-O | conceive | conceive | design | design | implement | implement | operate | operate | team | team | team-based | team-based | discipline | discipline | materials | materials | structures | structures | materials and structures | materials and structures | computers | computers | programming | programming | computers and programming | computers and programming | fluids | fluids | fluid mechanics | fluid mechanics | thermodynamics | thermodynamics | propulsion | propulsion | signals | signals | systems | systems | signals and systems | signals and systems | systems problems | systems problems | fundamentals | fundamentals | technical communication | technical communication | graphical communication | graphical communication | communication | communication | reading | reading | research | research | experimentation | experimentation | personal response system | personal response system | prs | prs | active learning | active learning | First law | First law | first law of thermodynamics | first law of thermodynamics | thermo-mechanical | thermo-mechanical | energy | energy | energy conversion | energy conversion | aerospace power systems | aerospace power systems | propulsion systems | propulsion systems | aerospace propulsion systems | aerospace propulsion systems | heat | heat | work | work | thermal efficiency | thermal efficiency | forms of energy | forms of energy | energy exchange | energy exchange | processes | processes | heat engines | heat engines | engines | engines | steady-flow energy equation | steady-flow energy equation | energy flow | energy flow | flows | flows | path-dependence | path-dependence | path-independence | path-independence | reversibility | reversibility | irreversibility | irreversibility | state | state | thermodynamic state | thermodynamic state | performance | performance | ideal cycle | ideal cycle | simple heat engine | simple heat engine | cycles | cycles | thermal pressures | thermal pressures | temperatures | temperatures | linear static networks | linear static networks | loop method | loop method | node method | node method | linear dynamic networks | linear dynamic networks | classical methods | classical methods | state methods | state methods | state concepts | state concepts | dynamic systems | dynamic systems | resistive circuits | resistive circuits | sources | sources | voltages | voltages | currents | currents | Thevinin | Thevinin | Norton | Norton | initial value problems | initial value problems | RLC networks | RLC networks | characteristic values | characteristic values | characteristic vectors | characteristic vectors | transfer function | transfer function | ada | ada | ada programming | ada programming | programming language | programming language | software systems | software systems | programming style | programming style | computer architecture | computer architecture | program language evolution | program language evolution | classification | classification | numerical computation | numerical computation | number representation systems | number representation systems | assembly | assembly | SimpleSIM | SimpleSIM | RISC | RISC | CISC | CISC | operating systems | operating systems | single user | single user | multitasking | multitasking | multiprocessing | multiprocessing | domain-specific classification | domain-specific classification | recursive | recursive | execution time | execution time | fluid dynamics | fluid dynamics | physical properties of a fluid | physical properties of a fluid | fluid flow | fluid flow | mach | mach | reynolds | reynolds | conservation | conservation | conservation principles | conservation principles | conservation of mass | conservation of mass | conservation of momentum | conservation of momentum | conservation of energy | conservation of energy | continuity | continuity | inviscid | inviscid | steady flow | steady flow | simple bodies | simple bodies | airfoils | airfoils | wings | wings | channels | channels | aerodynamics | aerodynamics | forces | forces | moments | moments | equilibrium | equilibrium | freebody diagram | freebody diagram | free-body | free-body | free body | free body | planar force systems | planar force systems | equipollent systems | equipollent systems | equipollence | equipollence | support reactions | support reactions | reactions | reactions | static determinance | static determinance | determinate systems | determinate systems | truss analysis | truss analysis | trusses | trusses | method of joints | method of joints | method of sections | method of sections | statically indeterminate | statically indeterminate | three great principles | three great principles | 3 great principles | 3 great principles | indicial notation | indicial notation | rotation of coordinates | rotation of coordinates | coordinate rotation | coordinate rotation | stress | stress | extensional stress | extensional stress | shear stress | shear stress | notation | notation | plane stress | plane stress | stress equilbrium | stress equilbrium | stress transformation | stress transformation | mohr | mohr | mohr's circle | mohr's circle | principal stress | principal stress | principal stresses | principal stresses | extreme shear stress | extreme shear stress | strain | strain | extensional strain | extensional strain | shear strain | shear strain | strain-displacement | strain-displacement | compatibility | compatibility | strain transformation | strain transformation | transformation of strain | transformation of strain | mohr's circle for strain | mohr's circle for strain | principal strain | principal strain | extreme shear strain | extreme shear strain | uniaxial stress-strain | uniaxial stress-strain | material properties | material properties | classes of materials | classes of materials | bulk material properties | bulk material properties | origin of elastic properties | origin of elastic properties | structures of materials | structures of materials | atomic bonding | atomic bonding | packing of atoms | packing of atoms | atomic packing | atomic packing | crystals | crystals | crystal structures | crystal structures | polymers | polymers | estimate of moduli | estimate of moduli | moduli | moduli | composites | composites | composite materials | composite materials | modulus limited design | modulus limited design | material selection | material selection | materials selection | materials selection | measurement of elastic properties | measurement of elastic properties | stress-strain | stress-strain | stress-strain relations | stress-strain relations | anisotropy | anisotropy | orthotropy | orthotropy | measurements | measurements | engineering notation | engineering notation | Hooke | Hooke | Hooke's law | Hooke's law | general hooke's law | general hooke's law | equations of elasticity | equations of elasticity | boundary conditions | boundary conditions | multi-disciplinary | multi-disciplinary | models | models | engineering systems | engineering systems | experiments | experiments | investigations | investigations | experimental error | experimental error | design evaluation | design evaluation | evaluation | evaluation | trade studies | trade studies | effects of engineering | effects of engineering | social context | social context | engineering drawings | engineering drawings | 16.01 | 16.01 | 16.02 | 16.02 | 16.03 | 16.03 | 16.04 | 16.04

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10.34 Numerical Methods Applied to Chemical Engineering (MIT) 10.34 Numerical Methods Applied to Chemical Engineering (MIT)

Description

This course focuses on the use of modern computational and mathematical techniques in chemical engineering. Starting from a discussion of linear systems as the basic computational unit in scientific computing, methods for solving sets of nonlinear algebraic equations, ordinary differential equations, and differential-algebraic (DAE) systems are presented. Probability theory and its use in physical modeling is covered, as is the statistical analysis of data and parameter estimation. The finite difference and finite element techniques are presented for converting the partial differential equations obtained from transport phenomena to DAE systems. The use of these techniques will be demonstrated throughout the course in the Matlab® computing environment. This course focuses on the use of modern computational and mathematical techniques in chemical engineering. Starting from a discussion of linear systems as the basic computational unit in scientific computing, methods for solving sets of nonlinear algebraic equations, ordinary differential equations, and differential-algebraic (DAE) systems are presented. Probability theory and its use in physical modeling is covered, as is the statistical analysis of data and parameter estimation. The finite difference and finite element techniques are presented for converting the partial differential equations obtained from transport phenomena to DAE systems. The use of these techniques will be demonstrated throughout the course in the Matlab® computing environment.

Subjects

Numerical Methods Applied to Chemical Engineering | Numerical Methods Applied to Chemical Engineering | Navier-Stokes | Navier-Stokes | partial differential equations | partial differential equations | nonlinear algebraic equations | nonlinear algebraic equations | numerical linear algebra | numerical linear algebra

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IV (MIT) IV (MIT)

Description

Includes audio/video content: AV selected lectures, AV faculty introductions, AV special element video. The basic objective of Unified Engineering is to give a solid understanding of the fundamental disciplines of aerospace engineering, as well as their interrelationships and applications. These disciplines are Materials and Structures (M); Computers and Programming (C); Fluid Mechanics (F); Thermodynamics (T); Propulsion (P); and Signals and Systems (S). In choosing to teach these subjects in a unified manner, the instructors seek to explain the common intellectual threads in these disciplines, as well as their combined application to solve engineering Systems Problems (SP). Throughout the year, the instructors emphasize the connections among the disciplines. Includes audio/video content: AV selected lectures, AV faculty introductions, AV special element video. The basic objective of Unified Engineering is to give a solid understanding of the fundamental disciplines of aerospace engineering, as well as their interrelationships and applications. These disciplines are Materials and Structures (M); Computers and Programming (C); Fluid Mechanics (F); Thermodynamics (T); Propulsion (P); and Signals and Systems (S). In choosing to teach these subjects in a unified manner, the instructors seek to explain the common intellectual threads in these disciplines, as well as their combined application to solve engineering Systems Problems (SP). Throughout the year, the instructors emphasize the connections among the disciplines.

Subjects

Unified | Unified | Unified Engineering | Unified Engineering | aerospace | aerospace | CDIO | CDIO | C-D-I-O | C-D-I-O | conceive | conceive | design | design | implement | implement | operate | operate | team | team | team-based | team-based | discipline | discipline | materials | materials | structures | structures | materials and structures | materials and structures | computers | computers | programming | programming | computers and programming | computers and programming | fluids | fluids | fluid mechanics | fluid mechanics | thermodynamics | thermodynamics | propulsion | propulsion | signals | signals | systems | systems | signals and systems | signals and systems | systems problems | systems problems | fundamentals | fundamentals | technical communication | technical communication | graphical communication | graphical communication | communication | communication | reading | reading | research | research | experimentation | experimentation | personal response system | personal response system | prs | prs | active learning | active learning | First law | First law | first law of thermodynamics | first law of thermodynamics | thermo-mechanical | thermo-mechanical | energy | energy | energy conversion | energy conversion | aerospace power systems | aerospace power systems | propulsion systems | propulsion systems | aerospace propulsion systems | aerospace propulsion systems | heat | heat | work | work | thermal efficiency | thermal efficiency | forms of energy | forms of energy | energy exchange | energy exchange | processes | processes | heat engines | heat engines | engines | engines | steady-flow energy equation | steady-flow energy equation | energy flow | energy flow | flows | flows | path-dependence | path-dependence | path-independence | path-independence | reversibility | reversibility | irreversibility | irreversibility | state | state | thermodynamic state | thermodynamic state | performance | performance | ideal cycle | ideal cycle | simple heat engine | simple heat engine | cycles | cycles | thermal pressures | thermal pressures | temperatures | temperatures | linear static networks | linear static networks | loop method | loop method | node method | node method | linear dynamic networks | linear dynamic networks | classical methods | classical methods | state methods | state methods | state concepts | state concepts | dynamic systems | dynamic systems | resistive circuits | resistive circuits | sources | sources | voltages | voltages | currents | currents | Thevinin | Thevinin | Norton | Norton | initial value problems | initial value problems | RLC networks | RLC networks | characteristic values | characteristic values | characteristic vectors | characteristic vectors | transfer function | transfer function | ada | ada | ada programming | ada programming | programming language | programming language | software systems | software systems | programming style | programming style | computer architecture | computer architecture | program language evolution | program language evolution | classification | classification | numerical computation | numerical computation | number representation systems | number representation systems | assembly | assembly | SimpleSIM | SimpleSIM | RISC | RISC | CISC | CISC | operating systems | operating systems | single user | single user | multitasking | multitasking | multiprocessing | multiprocessing | domain-specific classification | domain-specific classification | recursive | recursive | execution time | execution time | fluid dynamics | fluid dynamics | physical properties of a fluid | physical properties of a fluid | fluid flow | fluid flow | mach | mach | reynolds | reynolds | conservation | conservation | conservation principles | conservation principles | conservation of mass | conservation of mass | conservation of momentum | conservation of momentum | conservation of energy | conservation of energy | continuity | continuity | inviscid | inviscid | steady flow | steady flow | simple bodies | simple bodies | airfoils | airfoils | wings | wings | channels | channels | aerodynamics | aerodynamics | forces | forces | moments | moments | equilibrium | equilibrium | freebody diagram | freebody diagram | free-body | free-body | free body | free body | planar force systems | planar force systems | equipollent systems | equipollent systems | equipollence | equipollence | support reactions | support reactions | reactions | reactions | static determinance | static determinance | determinate systems | determinate systems | truss analysis | truss analysis | trusses | trusses | method of joints | method of joints | method of sections | method of sections | statically indeterminate | statically indeterminate | three great principles | three great principles | 3 great principles | 3 great principles | indicial notation | indicial notation | rotation of coordinates | rotation of coordinates | coordinate rotation | coordinate rotation | stress | stress | extensional stress | extensional stress | shear stress | shear stress | notation | notation | plane stress | plane stress | stress equilbrium | stress equilbrium | stress transformation | stress transformation | mohr | mohr | mohr's circle | mohr's circle | principal stress | principal stress | principal stresses | principal stresses | extreme shear stress | extreme shear stress | strain | strain | extensional strain | extensional strain | shear strain | shear strain | strain-displacement | strain-displacement | compatibility | compatibility | strain transformation | strain transformation | transformation of strain | transformation of strain | mohr's circle for strain | mohr's circle for strain | principal strain | principal strain | extreme shear strain | extreme shear strain | uniaxial stress-strain | uniaxial stress-strain | material properties | material properties | classes of materials | classes of materials | bulk material properties | bulk material properties | origin of elastic properties | origin of elastic properties | structures of materials | structures of materials | atomic bonding | atomic bonding | packing of atoms | packing of atoms | atomic packing | atomic packing | crystals | crystals | crystal structures | crystal structures | polymers | polymers | estimate of moduli | estimate of moduli | moduli | moduli | composites | composites | composite materials | composite materials | modulus limited design | modulus limited design | material selection | material selection | materials selection | materials selection | measurement of elastic properties | measurement of elastic properties | stress-strain | stress-strain | stress-strain relations | stress-strain relations | anisotropy | anisotropy | orthotropy | orthotropy | measurements | measurements | engineering notation | engineering notation | Hooke | Hooke | Hooke's law | Hooke's law | general hooke's law | general hooke's law | equations of elasticity | equations of elasticity | boundary conditions | boundary conditions | multi-disciplinary | multi-disciplinary | models | models | engineering systems | engineering systems | experiments | experiments | investigations | investigations | experimental error | experimental error | design evaluation | design evaluation | evaluation | evaluation | trade studies | trade studies | effects of engineering | effects of engineering | social context | social context | engineering drawings | engineering drawings

License

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2.672 Project Laboratory (MIT) 2.672 Project Laboratory (MIT)

Description

This is an engineering laboratory subject for mechanical engineering juniors and seniors. Major emphasis is on interplay between analytical and experimental methods in solution of research and development problems. Communication (written and oral) of results is also a strong component of the course. Groups of two or three students work together on three projects during the term. This is an engineering laboratory subject for mechanical engineering juniors and seniors. Major emphasis is on interplay between analytical and experimental methods in solution of research and development problems. Communication (written and oral) of results is also a strong component of the course. Groups of two or three students work together on three projects during the term.

Subjects

Engineering laboratory | Engineering laboratory | mechanical engineering | mechanical engineering | juniors | juniors | seniors | seniors | analytical and experimental methods | analytical and experimental methods | research and development problems | research and development problems | Communication (written and oral) | Communication (written and oral) | projects | projects | analytical method | analytical method | experimental method | experimental method | research and development | research and development | D | D

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6.034 Artificial Intelligence (MIT) 6.034 Artificial Intelligence (MIT)

Description

This course introduces representations, techniques, and architectures used to build applied systems and to account for intelligence from a computational point of view. This course also explores applications of rule chaining, heuristic search, logic, constraint propagation, constrained search, and other problem-solving paradigms. In addition, it covers applications of decision trees, neural nets, SVMs and other learning paradigms. This course introduces representations, techniques, and architectures used to build applied systems and to account for intelligence from a computational point of view. This course also explores applications of rule chaining, heuristic search, logic, constraint propagation, constrained search, and other problem-solving paradigms. In addition, it covers applications of decision trees, neural nets, SVMs and other learning paradigms.

Subjects

Introduces representations | techniques | and architectures used to build applied systems | Introduces representations | techniques | and architectures used to build applied systems | computational intelligence | computational intelligence | rule chaining | rule chaining | heuristic search | heuristic search | constraint propagation | constraint propagation | constrained search | constrained search | inheritance | inheritance | problem-solving paradigms | problem-solving paradigms | identification trees | identification trees | neural nets | neural nets | genetic algorithms | genetic algorithms | learning paradigms | learning paradigms | Speculations on the contributions of human vision and language systems to human intelligence | Speculations on the contributions of human vision and language systems to human intelligence | Meets with HST.947 spring only | Meets with HST.947 spring only | 4 Engineering Design Points | 4 Engineering Design Points

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7.347 Fueling Sustainability: Engineering Microbial Systems for Biofuel Production (MIT) 7.347 Fueling Sustainability: Engineering Microbial Systems for Biofuel Production (MIT)

Description

The need to identify sustainable forms of energy as an alternative to our dependence on depleting worldwide oil reserves is one of the grand challenges of our time. The energy from the sun converted into plant biomass is the most promising renewable resource available to humanity. This seminar will examine each of the critical steps along the pathway towards the conversion of plant biomass into ethanol. 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 setting. Many instructors of the Advanced Undergraduate Seminars are postdoctoral scientists with a strong interest in The need to identify sustainable forms of energy as an alternative to our dependence on depleting worldwide oil reserves is one of the grand challenges of our time. The energy from the sun converted into plant biomass is the most promising renewable resource available to humanity. This seminar will examine each of the critical steps along the pathway towards the conversion of plant biomass into ethanol. 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 setting. Many instructors of the Advanced Undergraduate Seminars are postdoctoral scientists with a strong interest in

Subjects

Engineering | Engineering | Microbial Systems | Microbial Systems | Biofuel Production | Biofuel Production | energy | energy | plant biomass | plant biomass | cellulose | cellulose | enzymes | enzymes | bacteria | bacteria | ethanol | ethanol | cellulolytic enzymes | cellulolytic enzymes | Cellulolytic Bacteria and Fungi | Cellulolytic Bacteria and Fungi | cellulases | cellulases | cellulosomes | cellulosomes | E. coli | E. coli | yeast | yeast

License

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9.520-A Networks for Learning: Regression and Classification (MIT) 9.520-A Networks for Learning: Regression and Classification (MIT)

Description

The course focuses on the problem of supervised learning within the framework of Statistical Learning Theory. It starts with a review of classical statistical techniques, including Regularization Theory in RKHS for multivariate function approximation from sparse data. Next, VC theory is discussed in detail and used to justify classification and regression techniques such as Regularization Networks and Support Vector Machines. Selected topics such as boosting, feature selection and multiclass classification will complete the theory part of the course. During the course we will examine applications of several learning techniques in areas such as computer vision, computer graphics, database search and time-series analysis and prediction. We will briefly discuss implications of learning theori The course focuses on the problem of supervised learning within the framework of Statistical Learning Theory. It starts with a review of classical statistical techniques, including Regularization Theory in RKHS for multivariate function approximation from sparse data. Next, VC theory is discussed in detail and used to justify classification and regression techniques such as Regularization Networks and Support Vector Machines. Selected topics such as boosting, feature selection and multiclass classification will complete the theory part of the course. During the course we will examine applications of several learning techniques in areas such as computer vision, computer graphics, database search and time-series analysis and prediction. We will briefly discuss implications of learning theori

Subjects

Learning | Learning | Perspective | Perspective | Regularized | Regularized | Kernel Hilbert Spaces | Kernel Hilbert Spaces | Approximation | Approximation | Nonparametric | Nonparametric | Ridge Approximation | Ridge Approximation | Networks | Networks | Finance | Finance | Statistical Learning Theory | Statistical Learning Theory | Consistency | Consistency | Empirical Risk | Empirical Risk | Minimization Principle | Minimization Principle | VC-Dimension | VC-Dimension | VC-bounds | VC-bounds | Regression | Regression | Structural Risk Minimization | Structural Risk Minimization | Support Vector Machines | Support Vector Machines | Kernel Engineering | Kernel Engineering | Computer Vision | Computer Vision | Computer Graphics | Computer Graphics | Neuroscience | Neuroscience | Approximation Error | Approximation Error | Approximation Theory | Approximation Theory | Bioinformatics | Bioinformatics | Bagging | Bagging | Boosting | Boosting | Wavelets | Wavelets | Frames | Frames

License

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10.490 Integrated Chemical Engineering I (MIT) 10.490 Integrated Chemical Engineering I (MIT)

Description

This course uses reaction kinetics, batch reactor analysis, batch distillation, batch operations scheduling, safety analysis, and the ABACUSS process simulator to introduce process design and analysis techniques. Acknowledgements The materials for the Fall 2006 offering of this course were drawn extensively from the materials that Professor Paul Barton used while teaching this course in past years. We are indebted to him for his long service to 10.490. This course uses reaction kinetics, batch reactor analysis, batch distillation, batch operations scheduling, safety analysis, and the ABACUSS process simulator to introduce process design and analysis techniques. Acknowledgements The materials for the Fall 2006 offering of this course were drawn extensively from the materials that Professor Paul Barton used while teaching this course in past years. We are indebted to him for his long service to 10.490.

Subjects

Integrated Chemical Engineering | Integrated Chemical Engineering | chemical process | chemical process | process design | process design | ABACUSS | ABACUSS | batch reactor | batch reactor | chemical kinetics | chemical kinetics

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HST.947 Medical Artificial Intelligence (MIT) HST.947 Medical Artificial Intelligence (MIT)

Description

This course provides an intensive introduction to artificial intelligence and its applications to problems of medical diagnosis, therapy selection, and monitoring and learning from databases. It meets with lectures and recitations of 6.034 Artificial Intelligence, whose material is supplemented by additional medical-specific readings in a weekly discussion session. Students are responsible for completing all homework assignments in 6.034 and for additional problems and/or papers. This course provides an intensive introduction to artificial intelligence and its applications to problems of medical diagnosis, therapy selection, and monitoring and learning from databases. It meets with lectures and recitations of 6.034 Artificial Intelligence, whose material is supplemented by additional medical-specific readings in a weekly discussion session. Students are responsible for completing all homework assignments in 6.034 and for additional problems and/or papers.

Subjects

Introduces representations | techniques | and architectures used to build applied systems | Introduces representations | techniques | and architectures used to build applied systems | computational intelligence | computational intelligence | rule chaining | rule chaining | heuristic search | heuristic search | constraint propagation | constraint propagation | constrained search | constrained search | inheritance | inheritance | problem-solving paradigms | problem-solving paradigms | identification trees | identification trees | neural nets | neural nets | genetic algorithms | genetic algorithms | learning paradigms | learning paradigms | Speculations on the contributions of human vision and language systems to human intelligence | Speculations on the contributions of human vision and language systems to human intelligence | Meets with HST.947 spring only | Meets with HST.947 spring only | 4 Engineering Design Points | 4 Engineering Design Points | artificial intelligence | artificial intelligence | applied systems | applied systems | human intelligence | human intelligence | knowledge representation | knowledge representation | intelligent systems | intelligent systems | diagnosis | diagnosis | clinical simulation | clinical simulation | genomics | genomics | proteomics | proteomics | bioinformatics | bioinformatics

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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AE220 - Introduction to Aerospace Engineering AE220 - Introduction to Aerospace Engineering

Description

Introduction to overview of aerospace engineering, airplane, and the atmosphere. Basic aerodynamics and gas dynamics of incompressible flows, airfoils and wings,lift, drag, moments, circulation, boundary layers, and skin friction. Performance of aircraft, Introduction to overview of aerospace engineering, airplane, and the atmosphere. Basic aerodynamics and gas dynamics of incompressible flows, airfoils and wings,lift, drag, moments, circulation, boundary layers, and skin friction. Performance of aircraft,

Subjects

Introduction to Aerospace Engineering | Introduction to Aerospace Engineering

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COE202 - Fundamentals of Computer Engineering COE202 - Fundamentals of Computer Engineering

Description

Introduction to Computer Engineering. Digital Circuits. Boolean algebra and switching theory. Manipulation and minimization of Boolean functions. Combinational circuits analysis and design, multiplexers, decoders and adders. Sequential circuit analysis an Introduction to Computer Engineering. Digital Circuits. Boolean algebra and switching theory. Manipulation and minimization of Boolean functions. Combinational circuits analysis and design, multiplexers, decoders and adders. Sequential circuit analysis an

Subjects

Fundamentals of Computer Engineering | Fundamentals of Computer Engineering

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CHE201 - Introduction to Chemical Engineering CHE201 - Introduction to Chemical Engineering

Description

The basic principles and techniques used for calculations of material balances in chemical engineering processes are introduced. The material covered involves fundamental engineering concepts, formulation and solution of increasingly complex chemical engi The basic principles and techniques used for calculations of material balances in chemical engineering processes are introduced. The material covered involves fundamental engineering concepts, formulation and solution of increasingly complex chemical engi

Subjects

Introduction to Chemical Engineering | Introduction to Chemical Engineering

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CE100 - Introduction to Civil Engineering CE100 - Introduction to Civil Engineering

Description

Introduction to CE profession; description of various areas of specialization with a focus on nature of work and duties; orientation of the CE program and choice of electives for concentration in each discipline; fieldtrips to ongoing projects; professio Introduction to CE profession; description of various areas of specialization with a focus on nature of work and duties; orientation of the CE program and choice of electives for concentration in each discipline; fieldtrips to ongoing projects; professio

Subjects

Introduction to Civil Engineering | Introduction to Civil Engineering

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ARE100 - Introduction to Architectural Engineering ARE100 - Introduction to Architectural Engineering

Description

The course introduces a simple understanding of building as an integration of various systems and components to perform a certain function. The discipline of Architectural Engineering and the role of Architectural Engineers in the process of building desi The course introduces a simple understanding of building as an integration of various systems and components to perform a certain function. The discipline of Architectural Engineering and the role of Architectural Engineers in the process of building desi

Subjects

Introduction to Architectural Engineering | Introduction to Architectural Engineering

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Sistemas de Información Geográfica: Técnicas Cuantitativas para Gestión de Datos Sistemas de Información Geográfica: Técnicas Cuantitativas para Gestión de Datos

Description

Diariamente, miles de empresas, industrias y gobiernos de todo el mundo, utilizan la tecnología de los Sistemas de Información Geográfica (SIG) para ayudar a resolver complicados problemas y mejorar nuestra calidad de vida. Los SIG son una importante herramienta para la comprensión y preservación de nuestro medio ambiente. Son utilizados en esfuerzos para controlar la contaminación, proteger especies en peligro, detectar la deforestación, identificar y comprender los hábitats de animales, etc.. Industrias privadas y agencias gubernamentales también hacen uso de estas herramientas para aprovechar nuestros recursos naturales con mayor prudencia y habilidad. Así como los SIG se utilizan para diversas aplicaciones en el mundo real, pueden usarse en la enseñanza como una valiosa her Diariamente, miles de empresas, industrias y gobiernos de todo el mundo, utilizan la tecnología de los Sistemas de Información Geográfica (SIG) para ayudar a resolver complicados problemas y mejorar nuestra calidad de vida. Los SIG son una importante herramienta para la comprensión y preservación de nuestro medio ambiente. Son utilizados en esfuerzos para controlar la contaminación, proteger especies en peligro, detectar la deforestación, identificar y comprender los hábitats de animales, etc.. Industrias privadas y agencias gubernamentales también hacen uso de estas herramientas para aprovechar nuestros recursos naturales con mayor prudencia y habilidad. Así como los SIG se utilizan para diversas aplicaciones en el mundo real, pueden usarse en la enseñanza como una valiosa her

Subjects

Statistics | Statistics | Investigación operativa | Investigación operativa | GIS | GIS | Sistemas de Información Geográfica | Sistemas de Información Geográfica | Gestión del territorio | Gestión del territorio | Territory Management | Territory Management | Geoestadística | Geoestadística | Environmental | Environmental | Estadística | Estadística | SIG | SIG | Técnicas Cuantitativas | Técnicas Cuantitativas | Ambiental | Ambiental | Operational Research | Operational Research | Quantitative Technics | Quantitative Technics | Engineering Projects | Engineering Projects | Geostatistical | Geostatistical | Geographic Information Systems | Geographic Information Systems

License

Copyright 2009, by the Contributing Authors http://creativecommons.org/licenses/by-nc-sa/3.0/

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Mining and Mineral Processing Resource Pack

Description

Authors:  UCT Chemical Engineering Schools Project The Mining and Mineral Processing Resource Pack is a resource pack for high school science teachers to support the teaching and learning of the mining section in the high school science syllabus. Clicked 223 times. Last clicked 07/29/2014 - 12:45. Teaching & Learning Context:  This resource is meant for high school learners, teachers, and other individuals interested in the link between the mining industry and the school science syllabus. It can be use in the classroom to enhance the teaching of mining by using the animations, videos and projects prov

Subjects

Chemical Engineering | Engineering and the Built Environment | Downloadable Documents | Other | English | Secondary | Anglo | Anglo American | AngloAmerican | animations | grade 11 | Mining | mining and mineral processing resource pack | open educational resources | resources

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EEE4084F Digital Systems

Description

Authors:  Simon Winberg The objective of this course is for students to develop an understanding of the concepts involved in the design and development of high performance and special-purpose digital computing systems, in te Clicked 118 times. Last clicked 07/27/2014 - 11:34. Teaching & Learning Context:  The course involves lectures in a standard lecture venue. Projects and pracs are done using computers and other hardware in a laboratory. Presentation slides and the assignments are available on the publicly accessible website for this course. Correspondence and assistance with assignments are provid

Subjects

Electrical Engineering | Engineering and the Built Environment | Downloadable Documents | Other | Text/HTML Webpages | Video | English | Post-secondary | digital systems | FPGA | HDL | high performance computing | parallel computing | VLSI

License

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Tracking Filter Engineering – The Gauss-Newton and Polynomial Filters - Supplementary materia and Errata

Description

Authors:  Norman Morrision The support material for the book published by the IET in 2012, including Errata Clicked 96 times. Last clicked 12/18/2014 - 17:34. Teaching & Learning Context:  Solutions to drill problems, useful code, supporting the reading of the textbook on Filter Engineering using the Gauss Newton technique.

Subjects

Electrical Engineering | Engineering and the Built Environment | Downloadable Documents | Activities and Labs | English | Post-secondary | errata | examples | filters | Gauss | Newton

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Introduction to Sequential Smoothing and Prediction

Description

Authors:  Norman Morrison The book deals extensively with polynomial filters, namely, fixed-memory,expanding-memory and fading-memory filters. Clicked 303 times. Last clicked 08/19/2014 - 00:18. Teaching & Learning Context:  A general approach to tracking and smoothing of data, applicable in many fields.

Subjects

Electrical Engineering | Engineering and the Built Environment | Downloadable Documents | Textbooks | English | Post-secondary | radar | smoothing | tracking

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Chemical Industries Resource Pack

Description

Authors:  UCT Chemical Engineering Schools Project The Chemical Industries resource pack is a set of curriculum aligned resources for physical science teachers. Clicked 839 times. Last clicked 01/11/2015 - 02:22. Teaching & Learning Context:  This resource provides supplementary material to high school science teachers to teach some of the sections in the science syllabus. The content can also be used by grade 10-12 learners and students interested in finding out more about the industries and their links to the chemistry they learn in classrooms.

Subjects

Chemical Engineering | Engineering and the Built Environment | Text/HTML Webpages | Other | English | Secondary | chemical industries | FET Physical Sciences | grade 12 | open educational resources | Physical Science

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Power Distribution and Transmission Networks

Description

Authors:  Professor Trevor Gaunt This resource includes three Matlab-based software programs that can be used during lectures and tutorial sessions as teaching aids (“Basic Protection”, “Advanced Protection” and “Time Value of Money” Clicked 549 times. Last clicked 01/27/2015 - 10:03. Teaching & Learning Context:  This resource contains 3 software programs with supplementary tutorials that are designed to focus the students’ attention on specific areas of interaction between the groups of concepts.

Subjects

Electrical Engineering | Engineering and the Built Environment | Text/HTML Webpages | Simulations | English | Post-secondary | electrical engineering | IDMT relay | power distribution | transmission network

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Electronic Circuits EEE3068F

Description

Authors:  Samuel Ginsberg The notes consist of three parts. Clicked 116 times. Last clicked 07/31/2014 - 02:58. Teaching & Learning Context:  This set of notes is aimed at EEE3068F, a one semester, third year electronics course for electrical engineering and mechatronics students.

Subjects

Electrical Engineering | Engineering and the Built Environment | Downloadable Documents | Lecture Notes | English | Secondary | amplifier | Electronic design | filter | oscillator | power electronics | power supply

License

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