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2.693 Principles of Oceanographic Instrument Systems -- Sensors and Measurements (13.998) (MIT) 2.693 Principles of Oceanographic Instrument Systems -- Sensors and Measurements (13.998) (MIT)

Description

This course introduces theoretical and practical principles of design of oceanographic sensor systems. Topics include: transducer characteristics for acoustic, current, temperature, pressure, electric, magnetic, gravity, salinity, velocity, heat flow, and optical devices; limitations on these devices imposed by ocean environments; signal conditioning and recording; noise, sensitivity, and sampling limitations; and standards. Lectures by experts cover the principles of state-of-the-art systems being used in physical oceanography, geophysics, submersibles, acoustics. For lab work, day cruises in local waters allow students to prepare, deploy and analyze observations from standard oceanographic instruments. This course introduces theoretical and practical principles of design of oceanographic sensor systems. Topics include: transducer characteristics for acoustic, current, temperature, pressure, electric, magnetic, gravity, salinity, velocity, heat flow, and optical devices; limitations on these devices imposed by ocean environments; signal conditioning and recording; noise, sensitivity, and sampling limitations; and standards. Lectures by experts cover the principles of state-of-the-art systems being used in physical oceanography, geophysics, submersibles, acoustics. For lab work, day cruises in local waters allow students to prepare, deploy and analyze observations from standard oceanographic instruments.

Subjects

Oceanography | Oceanography | monitoring | monitoring | instrumentation | instrumentation | experiment | experiment | sampling | sampling | transducer | transducer | meteorology | meteorology | calibration | calibration | noise | noise | ocean | ocean | water | water | sea water | sea water | telemetry | telemetry | data recorder | data recorder | satellite | satellite | current | current | salinity | salinity | pressure | pressure | corrosion | corrosion | underwater | underwater

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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2.997 Decision Making in Large Scale Systems (MIT) 2.997 Decision Making in Large Scale Systems (MIT)

Description

This course is an introduction to the theory and application of large-scale dynamic programming. Topics include Markov decision processes, dynamic programming algorithms, simulation-based algorithms, theory and algorithms for value function approximation, and policy search methods. The course examines games and applications in areas such as dynamic resource allocation, finance and queueing networks. This course is an introduction to the theory and application of large-scale dynamic programming. Topics include Markov decision processes, dynamic programming algorithms, simulation-based algorithms, theory and algorithms for value function approximation, and policy search methods. The course examines games and applications in areas such as dynamic resource allocation, finance and queueing networks.

Subjects

algorithm | algorithm | markov decision process | markov decision process | dynamic programming | dynamic programming | stochastic models | stochastic models | policy iteration | policy iteration | Q-Learning | Q-Learning | reinforcement learning | reinforcement learning | Lyapunov function | Lyapunov function | ODE | ODE | TD-Learning | TD-Learning | value function approximation | value function approximation | linear programming | linear programming | policy search | policy search | policy gradient | policy gradient | actor-critic | actor-critic | experts algorithm | experts algorithm | regret minimization and calibration | regret minimization and calibration | games. | games.

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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TALAT Lecture 1601: Process modelling applied to age hardening aluminium alloys

Description

This lecture describes the methodology for physical modelling of materials problems, with particular emphasis on heat treatment and welding of age hardening alloys materials; it establishes mathematical relations between different process variables (e.g. alloy composition, heat treatment procedure, welding conditions) and the alloy strength or hardness, based on sound physical principles (e.g. thermodynamics, kinetic theory, dislocation mechanics); it motivates faster process development, optimization of process and properties and development of real-time control. Knowledge in metallurgy, materials science, materials engineering is assumed.

Subjects

aluminium | aluminum | european aluminium association | EAA | Training in Aluminium Application Technologies | training | metallurgy | technology | lecture | material science | isothermal age hardening | modeling | calibration | isothermal reversion | isothermal precipitation | natural ageing | thermal cycles | corematerials | ukoer

License

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

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2.997 Decision Making in Large Scale Systems (MIT)

Description

This course is an introduction to the theory and application of large-scale dynamic programming. Topics include Markov decision processes, dynamic programming algorithms, simulation-based algorithms, theory and algorithms for value function approximation, and policy search methods. The course examines games and applications in areas such as dynamic resource allocation, finance and queueing networks.

Subjects

algorithm | markov decision process | dynamic programming | stochastic models | policy iteration | Q-Learning | reinforcement learning | Lyapunov function | ODE | TD-Learning | value function approximation | linear programming | policy search | policy gradient | actor-critic | experts algorithm | regret minimization and calibration | games.

License

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

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Analytical Science

Description

Wales undergraduate level and as a CPD training resource

Subjects

ukoer | sfsoer | oer | open educational resources | metadata | analytical science | cpd training resource | analytical chemistry | measurement science | analytical process model | skills for analytical science | skills for analytical chemistry | analytical sample preparation | separation and concentration of analytes | units of measurement | volumetric techniques | gravimetric techniques | calibration methods | standard-addition | method of internal-standards | statistical analysis of data | measurement uncertainty | chromatographic methods | thin layer chromatography | gc | gas chromatography | hplc | high-performance liquid chromatography | capillary electrophoresis | potentiometry | ion-selective electrodes | amperometry | coulometry | plated film thickness | electromagnetic spectrum | electronic transitions | vibrational energy | comparison of spectroscopic techniques | fluorescence spectroscopy | mid infra-red spectroscopy | near infra-red spectroscopy | aas | atomic absorption spectroscopy | atomic emission spectroscopy | inductively coupled plasme emission spectroscopy | icpms | icpes | atomic fluorescence spectroscopy | comparison of elemental analysis techniques | principles of mass spectroscopy | electron impact mass spectroscopy | chemical ionisation mass spectroscopy | quadrupole mass spectroscopy | time-of-flight mass analysers | ion-trap mass analysers | off-line sampling systems | at-line sampling systems | on-line sampling systems | in-line sampling systems | performance characteristics of analytical techniques | flow injection analysis | fia | process gc | process ir | process ms | process uv/visible | quality management | quality assurance | qa | vam principles | quality control | qc | analytical method validation | analytical method performance characteristics | sampling of solids | liquids and gases | measurement of ph | karl fischer titration | uv/visible spectroscopy | beer's law | beer-lambert law | deviations from beer's law | mid ir spectroscopy | near ir spectroscopy | raman spectroscopy | fourier transform spectroscopies | x-ray methods | x-ray fluorescence spectroscopy | gc-ms | lc-ms | Physical sciences | F000

License

Attribution-Noncommercial-No Derivative Works 2.0 UK: England & Wales Attribution-Noncommercial-No Derivative Works 2.0 UK: England & Wales http://creativecommons.org/licenses/by-nc-nd/2.0/uk/ http://creativecommons.org/licenses/by-nc-nd/2.0/uk/

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TALAT Lecture 1601: Process modelling applied to age hardening aluminium alloys

Description

This lecture describes the methodology for physical modelling of materials problems, with particular emphasis on heat treatment and welding of age hardening alloys materials; it establishes mathematical relations between different process variables (e.g. alloy composition, heat treatment procedure, welding conditions) and the alloy strength or hardness, based on sound physical principles (e.g. thermodynamics, kinetic theory, dislocation mechanics); it motivates faster process development, optimization of process and properties and development of real-time control. Knowledge in metallurgy, materials science, materials engineering is assumed.

Subjects

aluminium | aluminum | european aluminium association | eaa | talat | training in aluminium application technologies | training | metallurgy | technology | lecture | material science | isothermal age hardening | modeling | calibration | isothermal reversion | isothermal precipitation | natural ageing | thermal cycles | corematerials | ukoer | Engineering | H000

License

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

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Shooting Star Experiment

Description

Subjects

sse | shootingstarexperiment | xraycalibrationfacility

License

No known copyright restrictions

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Spectrophotometry - principles and practice

Description

An articulate presentation detailing the theory behind the use of spectrophotometers to detect and quantify biological molecules. Further to this the Beer-Lambert Law is explored and methods to establish standard curves for calibration and determination of unknown concentrations explained, as is the method for the determination of the peak wavelength of a sample. The presentation is supported by the use of animations and video demonstrations.

Subjects

molecules | video | spectrophotometry | analysis | calibration | standard curve | beer-lambert | peak wavelength | biochemistry | biology | Biological sciences | C000

License

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

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Analytical Chemistry

Description

Analytical chemistry is the branch of chemistry dealing with measurement, both qualitative and quantitative. This discipline is also concerned with the chemical composition of samples. In the field, analytical chemistry is applied when detecting the presence and determining the quantities of chemical compounds, such as lead in water samples or arsenic in tissue samples. It also encompasses many different spectrochemical techniques, all of which are used under various experimental conditions. This branch of chemistry teaches the general theories behind the use of each instrument as well analysis of experimental data. This free course may be completed online at any time. See course site for detailed overview and learning outcomes. (Chemistry 108)

Subjects

analytical chemistry | stoichiometry | molarity | molality | calibration | linear regression | titration | spectrochemical | spectroscopy | uv | ir | resonance | chromatography | electrophoresis | electrochemistry | Physical sciences | F000

License

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

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2.693 Principles of Oceanographic Instrument Systems -- Sensors and Measurements (13.998) (MIT)

Description

This course introduces theoretical and practical principles of design of oceanographic sensor systems. Topics include: transducer characteristics for acoustic, current, temperature, pressure, electric, magnetic, gravity, salinity, velocity, heat flow, and optical devices; limitations on these devices imposed by ocean environments; signal conditioning and recording; noise, sensitivity, and sampling limitations; and standards. Lectures by experts cover the principles of state-of-the-art systems being used in physical oceanography, geophysics, submersibles, acoustics. For lab work, day cruises in local waters allow students to prepare, deploy and analyze observations from standard oceanographic instruments.

Subjects

Oceanography | monitoring | instrumentation | experiment | sampling | transducer | meteorology | calibration | noise | ocean | water | sea water | telemetry | data recorder | satellite | current | salinity | pressure | corrosion | underwater

License

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

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https://ocw.mit.edu/rss/all/mit-allcourses.xml

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2.997 Decision Making in Large Scale Systems (MIT)

Description

This course is an introduction to the theory and application of large-scale dynamic programming. Topics include Markov decision processes, dynamic programming algorithms, simulation-based algorithms, theory and algorithms for value function approximation, and policy search methods. The course examines games and applications in areas such as dynamic resource allocation, finance and queueing networks.

Subjects

algorithm | markov decision process | dynamic programming | stochastic models | policy iteration | Q-Learning | reinforcement learning | Lyapunov function | ODE | TD-Learning | value function approximation | linear programming | policy search | policy gradient | actor-critic | experts algorithm | regret minimization and calibration | games.

License

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

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