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6.094 Introduction to MATLABĀ® (MIT) 6.094 Introduction to MATLABĀ® (MIT)

Description

This course provides an aggressively gentle introduction to MATLAB®. It is designed to give students fluency in MATLAB, including popular toolboxes. The course consists of interactive lectures with a computer running MATLAB for each student. Problem-based MATLAB assignments are given which require significant time on MATLAB. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month. This course provides an aggressively gentle introduction to MATLAB®. It is designed to give students fluency in MATLAB, including popular toolboxes. The course consists of interactive lectures with a computer running MATLAB for each student. Problem-based MATLAB assignments are given which require significant time on MATLAB. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Subjects

matlab | matlab | simulink | simulink | matlab programming | matlab programming | variables | variables | plotting | plotting | scripts | scripts | functions | functions | flow control | flow control | linear algebra | linear algebra | polynomials | polynomials | optimization | optimization | differential equations | differential equations | ode | ode | probability | probability | statistics | statistics | data structures | data structures | images | images | animation | animation | debugging | debugging | symbolic math | symbolic math | toolboxes | toolboxes | scope | scope | function block | function block | nervous system | nervous system

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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9.63 Laboratory in Cognitive Science (MIT) 9.63 Laboratory in Cognitive Science (MIT)

Description

9.63 teaches principles of experimental methods in human perception and cognition, including design and statistical analysis. The course combines lectures and hands-on experimental exercises and requires an independent experimental project. Some experience in programming is desirable. To foster improved writing and presentation skills in conducting and critiquing research in cognitive science, students are required to provide reports and give oral presentations of three team experiments. A fourth individually conducted experiment includes a proposal with revision, and concluding written and oral reports. 9.63 teaches principles of experimental methods in human perception and cognition, including design and statistical analysis. The course combines lectures and hands-on experimental exercises and requires an independent experimental project. Some experience in programming is desirable. To foster improved writing and presentation skills in conducting and critiquing research in cognitive science, students are required to provide reports and give oral presentations of three team experiments. A fourth individually conducted experiment includes a proposal with revision, and concluding written and oral reports.

Subjects

cognitive science | cognitive science | human perception | human perception | cognition | cognition | statistical analysis | statistical analysis | signal detection theory | signal detection theory | single factor design | single factor design | factorial design | factorial design | matlab | matlab | correlational studies | correlational studies | ethics in research | ethics in research

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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9.63 Laboratory in Visual Cognition (MIT) 9.63 Laboratory in Visual Cognition (MIT)

Description

9.63 teaches principles of experimental methods in human perception and cognition, including design and statistical analysis. The course combines lectures and hands-on experimental exercises and requires an independent experimental project. Some experience in programming is desirable. To foster improved writing and presentation skills in conducting and critiquing research in cognitive science, students are required to provide reports and give oral presentations of three team experiments. A fourth individually conducted experiment includes a proposal with revision, and concluding written and oral reports. 9.63 teaches principles of experimental methods in human perception and cognition, including design and statistical analysis. The course combines lectures and hands-on experimental exercises and requires an independent experimental project. Some experience in programming is desirable. To foster improved writing and presentation skills in conducting and critiquing research in cognitive science, students are required to provide reports and give oral presentations of three team experiments. A fourth individually conducted experiment includes a proposal with revision, and concluding written and oral reports.

Subjects

cognitive science | cognitive science | human perception | human perception | cognition | cognition | statistical analysis | statistical analysis | signal detection theory | signal detection theory | single factor design | single factor design | factorial design | factorial design | matlab | matlab | correlational studies | correlational studies | ethics in research | ethics in research | visual cognition | visual cognition | thought | thought | psychology and cognitive science | psychology and cognitive science | information processing | information processing | organization of visual cognitive abilities. | organization of visual cognitive abilities.

License

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

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1.020 Ecology II: Engineering for Sustainability (MIT) 1.020 Ecology II: Engineering for Sustainability (MIT)

Description

This course provides a review of physical, chemical, ecological, and economic principles used to examine interactions between humans and the natural environment. Mass balance concepts are applied to ecology, chemical kinetics, hydrology, and transportation; energy balance concepts are applied to building design, ecology, and climate change; and economic and life cycle concepts are applied to resource evaluation and engineering design. Numerical models are used to integrate concepts and to assess environmental impacts of human activities. Problem sets involve development of MATLAB® models for particular engineering applications. Some experience with computer programming is helpful but not essential. This course provides a review of physical, chemical, ecological, and economic principles used to examine interactions between humans and the natural environment. Mass balance concepts are applied to ecology, chemical kinetics, hydrology, and transportation; energy balance concepts are applied to building design, ecology, and climate change; and economic and life cycle concepts are applied to resource evaluation and engineering design. Numerical models are used to integrate concepts and to assess environmental impacts of human activities. Problem sets involve development of MATLAB® models for particular engineering applications. Some experience with computer programming is helpful but not essential.

Subjects

modeling | modeling | matlab | matlab | human impact on environment | human impact on environment | economics | economics | natural resources | natural resources | assessment of model predictions | assessment of model predictions | mass balance | mass balance | energy balance | energy balance | mass transport | mass transport | energy transport | energy transport | resource economics | resource economics | life cycle analysis | life cycle analysis | chemical kinetics | chemical kinetics | population modeling | population modeling | pesticides | pesticides | nutrients | nutrients | building energy | building energy | air quality | air quality | crop irrigation | crop irrigation | groundwater | groundwater

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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® (MIT)

Description

This course provides an aggressively gentle introduction to MATLAB®. It is designed to give students fluency in MATLAB, including popular toolboxes. The course consists of interactive lectures with a computer running MATLAB for each student. Problem-based MATLAB assignments are given which require significant time on MATLAB. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Subjects

matlab | simulink | matlab programming | variables | plotting | scripts | functions | flow control | linear algebra | polynomials | optimization | differential equations | ode | probability | statistics | data structures | images | animation | debugging | symbolic math | toolboxes | scope | function block | nervous system

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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Using MATLAB for engineers

Description

Introductory course on learning and using MATLAB aimed at 1st year engineering undergraduate. These were developed at the University of Sheffield and authored by J A Rossiter from The Department of Automatic Control and Systems Engineering. The files include a slightly animated power point slide (runs via web) which includes audio. Hence a little like a lecture. The source m-files mentioned are also supplied in the zip files mentioned. These m-files cover a group of topics. Read the instruction file to learn how to make 'lectures' available to students. More information for control with MATLAB is stored under the control contribution by same author and on the website http://controleducation.group.shef.ac.uk/acs211/notes_webct_quizzes_acs211.htm

Subjects

engineering problem solving | symbolic toolbox | function files | optimisation | conditionnals | loops | time series | ukoer | m-files | engineering undergraduate education | control engineering | creative commons | animated powerpoint with voiceover | first year engineering | matlab | control with matlab | oer | jisc | hea | hea engineering subject centre | flash | university of sheffield | sheffieldunioer | engscoer | cc-by | wales | engineering | Mathematical and Computer Sciences | Engineering | Computer science | H000 | I100 | ENGINEERING | X

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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9.63 Laboratory in Visual Cognition (MIT)

Description

9.63 teaches principles of experimental methods in human perception and cognition, including design and statistical analysis. The course combines lectures and hands-on experimental exercises and requires an independent experimental project. Some experience in programming is desirable. To foster improved writing and presentation skills in conducting and critiquing research in cognitive science, students are required to provide reports and give oral presentations of three team experiments. A fourth individually conducted experiment includes a proposal with revision, and concluding written and oral reports.

Subjects

cognitive science | human perception | cognition | statistical analysis | signal detection theory | single factor design | factorial design | matlab | correlational studies | ethics in research | visual cognition | thought | psychology and cognitive science | information processing | organization of visual cognitive abilities.

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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Control systems analysis for engineers

Description

This site contains links to resources for an introduction to control analysis for second year engineering undergraduate.The main focus is on block diagrams, offsets, pole computations, understanding stability/instability, root-loci, bode, nyquist, margins and an introduction to lead and lag compensation. The focus is on analysis not design which is covered in a later course. The resources here include the lecture hand outs which include embedded tutorial questions, some powerpoints for structuring lectures, some games/quizzes for lectures, a MATLAB laboratory based on significant prior practice, a FLASH lecture and then a formal laboratory test under exam conditions and a small data base of CAA developed on webct (here provided in a zip file). These were developed at the University of Shef

Subjects

ukoer | block diagrams | feedback | offset | steady state errors | poles | open-loop | closed-loop | root-loci | control | performance | frequency response | gain margin | phase margin | lead compenssator | lag compensator | sisotool | signal flow graph | convolution | resonance | control analysis | classical control | creative commons | laplace | bode | nyquist | matlab | engineering undergraduate education ukoer | oer | jisc | hea | hea engineering subject centre | university of sheffield | flash lecture | sheffieldunioer | engscoer | cc-by | wales | engineering | Mathematical and Computer Sciences | Engineering | Computer science | H000 | I100 | ENGINEERING | X

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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Mini Project Communication Link Simulation Channels And Noise Lecture

Description

The objective of this module is to have built communication links using existing AM modulation, PSK modulation and demodulation blocks, constructed AM modulators and constructed PSK modulators using operational function blocks based on their mathematical expressions, and conducted simulations of the links and modulators, all in SimulinkĀ®.

Subjects

2ele0064 | additive white gaussian noise | channel | communication link simulation | communication systems | communications | demodulation | digital modulation | electronics | engineering | engsc | engscoer | errors performance degradation | expressions | fading and delay of channels | johnson noise | links | mathematical expressions | matlab | measures of system performance | mini project | modulation | noise | operational function blocks | school of electronic communications and electrical | sources of noise | system performance | thermal noise | ukoer | uniofhertsoer | university of hertfordshire | Engineering | H000

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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9.63 Laboratory in Cognitive Science (MIT)

Description

9.63 teaches principles of experimental methods in human perception and cognition, including design and statistical analysis. The course combines lectures and hands-on experimental exercises and requires an independent experimental project. Some experience in programming is desirable. To foster improved writing and presentation skills in conducting and critiquing research in cognitive science, students are required to provide reports and give oral presentations of three team experiments. A fourth individually conducted experiment includes a proposal with revision, and concluding written and oral reports.

Subjects

cognitive science | human perception | cognition | statistical analysis | signal detection theory | single factor design | factorial design | matlab | correlational studies | ethics in research

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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1.020 Ecology II: Engineering for Sustainability (MIT)

Description

This course provides a review of physical, chemical, ecological, and economic principles used to examine interactions between humans and the natural environment. Mass balance concepts are applied to ecology, chemical kinetics, hydrology, and transportation; energy balance concepts are applied to building design, ecology, and climate change; and economic and life cycle concepts are applied to resource evaluation and engineering design. Numerical models are used to integrate concepts and to assess environmental impacts of human activities. Problem sets involve development of MATLAB® models for particular engineering applications. Some experience with computer programming is helpful but not essential.

Subjects

modeling | matlab | human impact on environment | economics | natural resources | assessment of model predictions | mass balance | energy balance | mass transport | energy transport | resource economics | life cycle analysis | chemical kinetics | population modeling | pesticides | nutrients | building energy | air quality | crop irrigation | groundwater

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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Mini project : communication link simulation : document transcript

Description

This open educational resource was released through the Higher Education Academy Engineering Subject Centre Open Engineering Resources Pilot project. The project was funded by HEFCE and the JISC/HE Academy UKOER programme.

Subjects

engineering | uniofhertsoer | spectrum of sampled signal | engsc | university of hertfordshire | links | school of electronic communications and electrical | ukoer | communication link simulation | demodulation | design and communication of a link using am | simulation | modulation | digital filters | electronics | digital modulation | 2ele0064 | communications | engscoer | mini project | matlab | time and frequency domains | mathematical expressions | expressions | design and communication of a link using psk | sampling | operational function blocks | Engineering | H000

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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