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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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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

License

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9.96 Experimental Methods of Adjustable Tetrode Array Neurophysiology (MIT) 9.96 Experimental Methods of Adjustable Tetrode Array Neurophysiology (MIT)

Description

Students will be exposed to all aspects of a cutting-edge technique in modern electrophysiology, in a highly structured, team oriented environment. The research projects will probe the neural mechanisms of learning and memory through tetrode array recordings coupled with patterned microstimulation. Due to the broad nature of tasks to be completed, coupled with the team oriented approach we will be employing, we are interested in students with a wide variety of laboratory experience and skill levels. Students will be exposed to all aspects of a cutting-edge technique in modern electrophysiology, in a highly structured, team oriented environment. The research projects will probe the neural mechanisms of learning and memory through tetrode array recordings coupled with patterned microstimulation. Due to the broad nature of tasks to be completed, coupled with the team oriented approach we will be employing, we are interested in students with a wide variety of laboratory experience and skill levels.

Subjects

electrophysiology | electrophysiology | implant | implant | rodent | rodent | behavioral experiment | behavioral experiment | microdrive array | microdrive array | animal experiment | animal experiment | experimental design | experimental design

License

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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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Glenn on Middeck Glenn on Middeck

Description

Subjects

osteoporsisexperimentinorbitosteomiddeckjohnglennsts95 | osteoporsisexperimentinorbitosteomiddeckjohnglennsts95 | osteoporsisexperimentinorbitosteomiddeckjohnglennsts95discovery | osteoporsisexperimentinorbitosteomiddeckjohnglennsts95discovery

License

No known copyright restrictions

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5.33 Advanced Chemical Experimentation and Instrumentation (MIT) 5.33 Advanced Chemical Experimentation and Instrumentation (MIT)

Description

5.33 focuses on advanced experimentation, with particular emphasis on chemical synthesis and the fundamentals of quantum chemistry, illustrated through molecular spectroscopy. The written and oral presentation of experimental results is also emphasized in the course.WARNING NOTICE:The experiments described in these materials are potentially hazardous andrequire a high level of safety training, special facilities and equipment, and supervision by appropriateindividuals. You bear the sole responsibility, liability, and risk for the implementation of such safetyprocedures and measures. MIT shall have no responsibility, liability, or risk for the content or implementationof any of the material presented.Legal Notice<br clear="all&gt;&lt;br clear=" all="all" /> 5.33 focuses on advanced experimentation, with particular emphasis on chemical synthesis and the fundamentals of quantum chemistry, illustrated through molecular spectroscopy. The written and oral presentation of experimental results is also emphasized in the course.WARNING NOTICE:The experiments described in these materials are potentially hazardous andrequire a high level of safety training, special facilities and equipment, and supervision by appropriateindividuals. You bear the sole responsibility, liability, and risk for the implementation of such safetyprocedures and measures. MIT shall have no responsibility, liability, or risk for the content or implementationof any of the material presented.Legal Notice<br clear="all&gt;&lt;br clear=" all="all" />

Subjects

advanced chemical experimentation | advanced chemical experimentation | Instrumentation | Instrumentation | experiment | experiment | chemistry | chemistry | laboratory | laboratory | integrated chemisty laboratory | integrated chemisty laboratory | chemical synthesis | chemical synthesis | quantum chemistry | quantum chemistry | molecular spectroscopy | molecular spectroscopy

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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16.622 Experimental Projects II (MIT) 16.622 Experimental Projects II (MIT)

Description

The Experimental Project Lab in the Department of Aeronautics and Astronautics is a two-semester course sequence: 16.621 Experimental Projects I and 16.622 Experimental Projects II (this course). Students in 16.622 gain practical insight and improved understanding of engineering experimentation through design and execution of "project" experiments. Building upon work in course 16.621, students construct and test equipment, make systematic experimental measurements of phenomena, analyze data, and compare theoretical predictions with results. Deliverables comprise a written final project report and formal oral presentations. Instructions on oral presentations and multi-section reporting are given. Experimental Projects I and II provide a valuable link between theory (16.621) and pr The Experimental Project Lab in the Department of Aeronautics and Astronautics is a two-semester course sequence: 16.621 Experimental Projects I and 16.622 Experimental Projects II (this course). Students in 16.622 gain practical insight and improved understanding of engineering experimentation through design and execution of "project" experiments. Building upon work in course 16.621, students construct and test equipment, make systematic experimental measurements of phenomena, analyze data, and compare theoretical predictions with results. Deliverables comprise a written final project report and formal oral presentations. Instructions on oral presentations and multi-section reporting are given. Experimental Projects I and II provide a valuable link between theory (16.621) and pr

Subjects

experiment | experiment | experimental project | experimental project | laboratory | laboratory | measurement | measurement | report writing | report writing | oral presentation | oral presentation | design | design | proposal | proposal | hypothesis | hypothesis | communication | communication

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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16.621 Experimental Projects I (MIT) 16.621 Experimental Projects I (MIT)

Description

The Experimental Project Lab in the Department of Aeronautics and Astronautics is a two-semester course sequence: 16.621 Experimental Projects I (this course) and 16.622 Experimental Projects II. This site offers material on 16.621. In the course, two-person teams initiate a project of their own conception and design in 16.621 and then complete it in 16.622. For many students, this is a first encounter with research standards and techniques. It is a complicated course that requires a lot of interaction and support and also access to facilities and materials, but it is rewarding for students to explore an hypothesis under the guidance of a faculty advisor. This OCW site presents the building block materials of the course, which can provide only a profile of the course because the most The Experimental Project Lab in the Department of Aeronautics and Astronautics is a two-semester course sequence: 16.621 Experimental Projects I (this course) and 16.622 Experimental Projects II. This site offers material on 16.621. In the course, two-person teams initiate a project of their own conception and design in 16.621 and then complete it in 16.622. For many students, this is a first encounter with research standards and techniques. It is a complicated course that requires a lot of interaction and support and also access to facilities and materials, but it is rewarding for students to explore an hypothesis under the guidance of a faculty advisor. This OCW site presents the building block materials of the course, which can provide only a profile of the course because the most

Subjects

experiment | experiment | experimental project | experimental project | laboratory | laboratory | measurement | measurement | report writing | report writing | oral presentation | oral presentation | design | design | proposal | proposal | hypothesis | hypothesis | communication | communication

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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II "Junior Lab" (MIT) II "Junior Lab" (MIT)

Description

Junior Lab consists of two undergraduate courses in experimental physics. The courses are offered by the MIT Physics Department, and are usually taken by Juniors (hence the name). Officially, the courses are called Experimental Physics I and II and are numbered 8.13 for the first half, given in the fall semester, and 8.14 for the second half, given in the spring. The purposes of Junior Lab are to give students hands-on experience with some of the experimental basis of modern physics and, in the process, to deepen their understanding of the relations between experiment and theory, mostly in atomic and nuclear physics. Each term, students choose 5 different experiments from a list of 21 total labs. Junior Lab consists of two undergraduate courses in experimental physics. The courses are offered by the MIT Physics Department, and are usually taken by Juniors (hence the name). Officially, the courses are called Experimental Physics I and II and are numbered 8.13 for the first half, given in the fall semester, and 8.14 for the second half, given in the spring. The purposes of Junior Lab are to give students hands-on experience with some of the experimental basis of modern physics and, in the process, to deepen their understanding of the relations between experiment and theory, mostly in atomic and nuclear physics. Each term, students choose 5 different experiments from a list of 21 total labs.

Subjects

Junior Lab | Junior Lab | experimental | experimental | atomic | atomic | nuclear | nuclear | physics | physics | optics | optics | photoelectric effect | photoelectric effect | poisson | poisson | statistics | statistics | electromagnetic pulse | electromagnetic pulse | compton scattering | compton scattering | Franck-Hertz experiment | Franck-Hertz experiment | relativistic dynamics | relativistic dynamics | nuclear magnetic resonance | nuclear magnetic resonance | spin echoes | spin echoes | cosmic-ray muons | cosmic-ray muons | Rutherford Scattering | Rutherford Scattering | emission spectra | emission spectra | neutron physics | neutron physics | Johnson noise | Johnson noise | shot noise | shot noise | quantum mechanics | quantum mechanics | alpha decay | alpha decay | radio astrophysics | radio astrophysics | Zeeman effect | Zeeman effect | rubidium | rubidium | M?ssbauer | M?ssbauer | spectroscopy | spectroscopy | X-Ray physics | X-Ray physics | superconductivity | superconductivity | Doppler-free | Doppler-free | laser | laser

License

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Man standing in front of napier grass crop - Florida Man standing in front of napier grass crop - Florida

Description

Subjects

florida | florida | universityofflorida | universityofflorida | fields | fields | agriculturalexperimentstation | agriculturalexperimentstation | napiergrass | napiergrass | fieldexperiments | fieldexperiments

License

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5.302 Introduction to Experimental Chemistry (MIT) 5.302 Introduction to Experimental Chemistry (MIT)

Description

5.302 is a 3-unit course intended to provide freshmen with a stimulating and enjoyable "hands-on" experience with chemical phenomena. The aim of this course is to provide freshmen with an opportunity to get "up close and personal" with the chemical phenomena introduced in 5.111, 5.112 and 3.091. Interesting and dramatic experiments have been selected to illustrate and reinforce the concepts and principles introduced in the chemistry core lecture courses.   WARNING NOTICE The experiments described in these materials are potentially hazardous and require a high level of safety training, special facilities and equipment, and supervision by appropriate individuals. You bear the sole responsibility, liability, and risk for the implementation of such safety procedur 5.302 is a 3-unit course intended to provide freshmen with a stimulating and enjoyable "hands-on" experience with chemical phenomena. The aim of this course is to provide freshmen with an opportunity to get "up close and personal" with the chemical phenomena introduced in 5.111, 5.112 and 3.091. Interesting and dramatic experiments have been selected to illustrate and reinforce the concepts and principles introduced in the chemistry core lecture courses.   WARNING NOTICE The experiments described in these materials are potentially hazardous and require a high level of safety training, special facilities and equipment, and supervision by appropriate individuals. You bear the sole responsibility, liability, and risk for the implementation of such safety procedur

Subjects

experimental chemistry | experimental chemistry | chemistry experiments | chemistry experiments | chemical equilibrium | chemical equilibrium | coordination chemistry | coordination chemistry | solubility equilibrium | solubility equilibrium | redox chemistry | redox chemistry | Tollen's test | Tollen's test | chemical kinetics | chemical kinetics | iodine clock | iodine clock | nylon 6-10 | nylon 6-10 | methyl orange | methyl orange

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

Description

This&nbsp;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&nbsp;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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5.32 Intermediate Chemical Experimentation (MIT) 5.32 Intermediate Chemical Experimentation (MIT)

Description

5.32 involves more advanced experimental work than 5.310 or 5.311. The course emphasizes organic synthesis assisted by chiral catalysis, purification, and analysis of organic compounds employing such methods as IR, 1D and 2D NMR, UV spectroscopies and mass spectrometry, and thin layer and non-chiral and chiral gas chromatography. In 5.32, experiments also involve enzyme purification, characterization and assays, as well as molecular modeling in organic synthesis and in biochemical systems. WARNING NOTICE The experiments described in these materials are potentially hazardous and require a high level of safety training, special facilities and equipment, and supervision by appropriate individuals. You bear the sole responsibility, liability, and risk for the implementation of such 5.32 involves more advanced experimental work than 5.310 or 5.311. The course emphasizes organic synthesis assisted by chiral catalysis, purification, and analysis of organic compounds employing such methods as IR, 1D and 2D NMR, UV spectroscopies and mass spectrometry, and thin layer and non-chiral and chiral gas chromatography. In 5.32, experiments also involve enzyme purification, characterization and assays, as well as molecular modeling in organic synthesis and in biochemical systems. WARNING NOTICE The experiments described in these materials are potentially hazardous and require a high level of safety training, special facilities and equipment, and supervision by appropriate individuals. You bear the sole responsibility, liability, and risk for the implementation of such

Subjects

intermediate chemical experimentation | intermediate chemical experimentation | experiment | experiment | chemistry | chemistry | organic synthesis | organic synthesis | chiral catalysis | chiral catalysis | purification | purification | organic chemistry | organic chemistry | laboratory | laboratory | IR | IR | 1D NMR | 1D NMR | 2D NMR | 2D NMR | UV spectroscopy | UV spectroscopy | mass spectrometry | mass spectrometry | thin layer gas chromatography | thin layer gas chromatography | non-chiral gas chromatography | non-chiral gas chromatography | chiral gas chromatography | chiral gas chromatography | enzyme purification | enzyme purification | characterization | characterization | assays | assays | molecular modeling | molecular modeling | biochemical systems | biochemical systems

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9.93 Marathon Moral Reasoning Laboratory (MIT) 9.93 Marathon Moral Reasoning Laboratory (MIT)

Description

This seminar focuses on the cognitive science of moral reasoning. Philosophers debate how we decide which moral actions are permissible. Is it permissible to take one human life in order to save others? We have powerful and surprisingly rich and subtle intuitions to such questions.In this class, you will learn how intuitions can be studied using formal analytical paradigms and behavioral experiments. Thursday evening, meet to learn about recent advances in theories of moral reasoning. Overnight, formulate a hypothesis about the structure of moral reasoning and design a questionnaire-based experiment to test this. Friday, present and select 1-2 proposals and collect data; we will then reconvene to analyze and discuss results and implications for the structure of the moral mind.This course i This seminar focuses on the cognitive science of moral reasoning. Philosophers debate how we decide which moral actions are permissible. Is it permissible to take one human life in order to save others? We have powerful and surprisingly rich and subtle intuitions to such questions.In this class, you will learn how intuitions can be studied using formal analytical paradigms and behavioral experiments. Thursday evening, meet to learn about recent advances in theories of moral reasoning. Overnight, formulate a hypothesis about the structure of moral reasoning and design a questionnaire-based experiment to test this. Friday, present and select 1-2 proposals and collect data; we will then reconvene to analyze and discuss results and implications for the structure of the moral mind.This course i

Subjects

cognitive science | cognitive science | moral reasoning | moral reasoning | moral actions | moral actions | permissible | permissible | human life | human life | intuition | intuition | analytical paradigm | analytical paradigm | behavioral experiment | behavioral experiment | questionnaire | questionnaire | experiment | experiment | structure of human mind | structure of human mind

License

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5.301 Chemistry Laboratory Techniques (MIT) 5.301 Chemistry Laboratory Techniques (MIT)

Description

This course is an intensive introduction to the techniques of experimental chemistry and gives first year students an opportunity to learn and master the basic chemistry lab techniques for carrying out experiments. Students who successfully complete the course and obtain a "Competent Chemist" (CC) or "Expert Experimentalist" (EE) rating are likely to secure opportunities for research work in a chemistry lab at MIT. Acknowledgements The laboratory manual and materials for this course were prepared by Dr. Katherine J. Franz and Dr. Kevin M. Shea with the assistance of Professors Rick L. Danheiser and Timothy M. Swager. Materials have been revised by Dr. J. Haseltine, Dr. Kevin M. Shea, and Dr. Sarah A. Tabacco. WARNING NOTICE The experiments described in these materials a This course is an intensive introduction to the techniques of experimental chemistry and gives first year students an opportunity to learn and master the basic chemistry lab techniques for carrying out experiments. Students who successfully complete the course and obtain a "Competent Chemist" (CC) or "Expert Experimentalist" (EE) rating are likely to secure opportunities for research work in a chemistry lab at MIT. Acknowledgements The laboratory manual and materials for this course were prepared by Dr. Katherine J. Franz and Dr. Kevin M. Shea with the assistance of Professors Rick L. Danheiser and Timothy M. Swager. Materials have been revised by Dr. J. Haseltine, Dr. Kevin M. Shea, and Dr. Sarah A. Tabacco. WARNING NOTICE The experiments described in these materials a

Subjects

chemistry | chemistry | experiment | experiment | laboratory techniques | laboratory techniques | purification | purification | transfer and extraction | transfer and extraction | column chromatography | column chromatography | protein assays | protein assays | error analysis | error analysis | NMR | NMR | IR | IR | gas chromatography | gas chromatography | spectroscopy | spectroscopy | UV-Vis | UV-Vis | experimental chemistry | experimental chemistry | original research projects | original research projects

License

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10.467 Polymer Science Laboratory (MIT) 10.467 Polymer Science Laboratory (MIT)

Description

Experiments in this class are broadly aimed at acquainting students with the range of properties of polymers, methods of synthesis, and physical chemistry. Some examples of laboratory work include solution polymerization of acrylamide, bead polymerization of divinylbenzene, and interfacial polymerization of nylon 6,10. Evaluation of networks by tensile and swelling experiments, rheology of polymer solutions and suspensions, and physical properties of natural and silicone rubber are also covered. Experiments in this class are broadly aimed at acquainting students with the range of properties of polymers, methods of synthesis, and physical chemistry. Some examples of laboratory work include solution polymerization of acrylamide, bead polymerization of divinylbenzene, and interfacial polymerization of nylon 6,10. Evaluation of networks by tensile and swelling experiments, rheology of polymer solutions and suspensions, and physical properties of natural and silicone rubber are also covered.

Subjects

polymers | polymers | polymer laboratory | polymer laboratory | polymer experiments | polymer experiments | properties of polymers | properties of polymers | methods of polymer synthesis | methods of polymer synthesis | physical chemistry | physical chemistry | solution polymerization of acrylamide | solution polymerization of acrylamide | bead polymerization of divinylbenzene | bead polymerization of divinylbenzene | interfacial polymerization of nylon 6 | interfacial polymerization of nylon 6 | 10 | 10 | evaluation of networks by tensile and swelling experiments | evaluation of networks by tensile and swelling experiments | rheology of polymer solutions and suspensions | rheology of polymer solutions and suspensions | physical properties of natural and silicone rubber | physical properties of natural and silicone rubber

License

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6.780 Semiconductor Manufacturing (MIT) 6.780 Semiconductor Manufacturing (MIT)

Description

6.780 covers statistical modeling and the control of semiconductor fabrication processes and plants. Topics covered include: design of experiments, response surface modeling, and process optimization; defect and parametric yield modeling; process/device/circuit yield optimization; monitoring, diagnosis, and feedback control of equipment and processes; and analysis and scheduling of semiconductor manufacturing operations. 6.780 covers statistical modeling and the control of semiconductor fabrication processes and plants. Topics covered include: design of experiments, response surface modeling, and process optimization; defect and parametric yield modeling; process/device/circuit yield optimization; monitoring, diagnosis, and feedback control of equipment and processes; and analysis and scheduling of semiconductor manufacturing operations.

Subjects

Semiconductor manufacturing | Semiconductor manufacturing | statistics | statistics | distributions | distributions | estimation | estimation | hypothesis testing | hypothesis testing | statistical process control | statistical process control | control chart | control chart | control chart design | control chart design | design of experiments | design of experiments | empirical equipment | empirical equipment | process modeling | process modeling | experimental design | experimental design | yield models | yield models | spatial variation | spatial variation | spatial models | spatial models | design for manufacturability | design for manufacturability | equipment monitoring | equipment monitoring | equipment diagnosis | equipment diagnosis | equipment control | equipment control | run by run | run by run | multistage process control | multistage process control | scheduling | scheduling | planning | planning | factory modeling | factory modeling | factory infrastructure | factory infrastructure | environmental | environmental | health and safety | health and safety | computer integrated manufacturing | computer integrated manufacturing | factory operation | factory operation | factory design | factory design | advanced process control | advanced process control | yield learning | yield learning

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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2.161 Signal Processing: Continuous and Discrete (MIT) 2.161 Signal Processing: Continuous and Discrete (MIT)

Description

This course provides a solid theoretical foundation for the analysis and processing of experimental data, and real-time experimental control methods. Topics covered include spectral analysis, filter design, system identification, and simulation in continuous and discrete-time domains. The emphasis is on practical problems with laboratory exercises. This course provides a solid theoretical foundation for the analysis and processing of experimental data, and real-time experimental control methods. Topics covered include spectral analysis, filter design, system identification, and simulation in continuous and discrete-time domains. The emphasis is on practical problems with laboratory exercises.

Subjects

analysis and processing of experimental data; real-time experimental control methods; spectral analysis; filter design; system identification; simulation in continuous and discrete-time domains; MATLAB | analysis and processing of experimental data; real-time experimental control methods; spectral analysis; filter design; system identification; simulation in continuous and discrete-time domains; MATLAB | fast Fourier transform | fast Fourier transform | correlation function | correlation function | sampling | sampling | op-amps | op-amps | Chebyshev | Chebyshev | Laplace transform | Laplace transform | Butterworth | Butterworth | convolution | convolution | frequency response | frequency response | windowing | windowing | low-pass | low-pass | poles | poles | zeros | zeros

License

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II "Junior Lab" (MIT) II "Junior Lab" (MIT)

Description

Junior Lab consists of two undergraduate courses in experimental physics. The courses are offered by the MIT Physics Department, and are usually taken by Juniors (hence the name). Officially, the courses are called Experimental Physics I and II and are numbered 8.13 for the first half, given in the fall semester, and 8.14 for the second half, given in the spring.The purposes of Junior Lab are to give students hands-on experience with some of the experimental basis of modern physics and, in the process, to deepen their understanding of the relations between experiment and theory, mostly in atomic and nuclear physics. Each term, students choose 5 different experiments from a list of 21 total labs. Junior Lab consists of two undergraduate courses in experimental physics. The courses are offered by the MIT Physics Department, and are usually taken by Juniors (hence the name). Officially, the courses are called Experimental Physics I and II and are numbered 8.13 for the first half, given in the fall semester, and 8.14 for the second half, given in the spring.The purposes of Junior Lab are to give students hands-on experience with some of the experimental basis of modern physics and, in the process, to deepen their understanding of the relations between experiment and theory, mostly in atomic and nuclear physics. Each term, students choose 5 different experiments from a list of 21 total labs.

Subjects

Junior Lab | Junior Lab | experimental | experimental | atomic | atomic | nuclear | nuclear | physics | physics | optics | optics | photoelectric effect | photoelectric effect | poisson | poisson | statistics | statistics | electromagnetic pulse | electromagnetic pulse | compton scattering | compton scattering | Franck-Hertz experiment | Franck-Hertz experiment | relativistic dynamics | relativistic dynamics | nuclear magnetic resonance | nuclear magnetic resonance | spin echoes | spin echoes | cosmic-ray muons | cosmic-ray muons | Rutherford Scattering | Rutherford Scattering | emission spectra | emission spectra | neutron physics | neutron physics | Johnson noise | Johnson noise | shot noise | shot noise | quantum mechanics | quantum mechanics | alpha decay | alpha decay | radio astrophysics | radio astrophysics | Zeeman effect | Zeeman effect | rubidium | rubidium | M?ssbauer | M?ssbauer | spectroscopy | spectroscopy | X-Ray physics | X-Ray physics | superconductivity | superconductivity | Doppler-free | Doppler-free | laser | laser

License

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2.160 Identification, Estimation, and Learning (MIT) 2.160 Identification, Estimation, and Learning (MIT)

Description

This course provides a broad theoretical basis for system identification, estimation, and learning. Students will study least squares estimation and its convergence properties, Kalman filters, noise dynamics and system representation, function approximation theory, neural nets, radial basis functions, wavelets, Volterra expansions, informative data sets, persistent excitation, asymptotic variance, central limit theorems, model structure selection, system order estimate, maximum likelihood, unbiased estimates, Cramer-Rao lower bound, Kullback-Leibler information distance, Akaike's information criterion, experiment design, and model validation. This course provides a broad theoretical basis for system identification, estimation, and learning. Students will study least squares estimation and its convergence properties, Kalman filters, noise dynamics and system representation, function approximation theory, neural nets, radial basis functions, wavelets, Volterra expansions, informative data sets, persistent excitation, asymptotic variance, central limit theorems, model structure selection, system order estimate, maximum likelihood, unbiased estimates, Cramer-Rao lower bound, Kullback-Leibler information distance, Akaike's information criterion, experiment design, and model validation.

Subjects

system identification; estimation; least squares estimation; Kalman filter; noise dynamics; system representation; function approximation theory; neural nets; radial basis functions; wavelets; volterra expansions; informative data sets; persistent excitation; asymptotic variance; central limit theorem; model structure selection; system order estimate; maximum likelihood; unbiased estimates; Cramer-Rao lower bound; Kullback-Leibler information distance; Akaike?s information criterion; experiment design; model validation. | system identification; estimation; least squares estimation; Kalman filter; noise dynamics; system representation; function approximation theory; neural nets; radial basis functions; wavelets; volterra expansions; informative data sets; persistent excitation; asymptotic variance; central limit theorem; model structure selection; system order estimate; maximum likelihood; unbiased estimates; Cramer-Rao lower bound; Kullback-Leibler information distance; Akaike?s information criterion; experiment design; model validation. | system identification | system identification | estimation | estimation | least squares estimation | least squares estimation | Kalman filter | Kalman filter | noise dynamics | noise dynamics | system representation | system representation | function approximation theory | function approximation theory | neural nets | neural nets | radial basis functions | radial basis functions | wavelets | wavelets | volterra expansions | volterra expansions | informative data sets | informative data sets | persistent excitation | persistent excitation | asymptotic variance | asymptotic variance | central limit theorem | central limit theorem | model structure selection | model structure selection | system order estimate | system order estimate | maximum likelihood | maximum likelihood | unbiased estimates | unbiased estimates | Cramer-Rao lower bound | Cramer-Rao lower bound | Kullback-Leibler information distance | Kullback-Leibler information distance | Akaike?s information criterion | Akaike?s information criterion | experiment design | experiment design | model validation | model validation

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Linear Aerospike SR-71 Experiment (LASRE) Linear Aerospike SR-71 Experiment (LASRE)

Description

Subjects

sr71 | sr71 | x33 | x33 | dryden | dryden | lockheedmartin | lockheedmartin | lasre | lasre | linearaerospikeexperiment | linearaerospikeexperiment | linearaerospikesrexperiment | linearaerospikesrexperiment

License

No known copyright restrictions

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9.96 Experimental Methods of Adjustable Tetrode Array Neurophysiology (MIT)

Description

Students will be exposed to all aspects of a cutting-edge technique in modern electrophysiology, in a highly structured, team oriented environment. The research projects will probe the neural mechanisms of learning and memory through tetrode array recordings coupled with patterned microstimulation. Due to the broad nature of tasks to be completed, coupled with the team oriented approach we will be employing, we are interested in students with a wide variety of laboratory experience and skill levels.

Subjects

electrophysiology | implant | rodent | behavioral experiment | microdrive array | animal experiment | experimental design

License

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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.

Subjects

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

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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.

Subjects

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

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