New courses in Media Arts and Scienceshttp://ocw.mit.edu/OcwWeb/Media-Arts-and-Sciences/index.htm2009-07-02MIT OpenCourseWare http://ocw.mit.eduen-USContent 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/OcwWeb/web/terms/terms/index.htmIntroduces principles of analysis and synthesis in the computational medium. Expressive examples that illustrate the intersection of computation with the traditional arts are developed on a weekly basis. Hands-on design exercises are continually framed and examined in the larger context of contemporary digital art. Limited enrollment.http://ocw.mit.edu/OcwWeb/Media-Arts-and-Sciences/MAS-110Fall-2008/CourseHome/index.htmBove, V MichaelVercoe, BarrySmall, DavidHoltzman, Henry2009-06-25T04:43:04-04:00MAS.110en-USMedia Arts and SciencesComputer Programming, Specific ApplicationsWeb Page, Digital/Multimedia and Information Resources DesignOLPCXO laptopweb 2.0internet designmodern artstorytellingphotographyweb designgraphic designanalog vs digital artmedia designmachine agecontemporary digital artjavascriptprogrammingdesigntypographycomputational and traditional artscomputational mediasynthesisanalysisMIT OpenCourseWare http://ocw.mit.eduContent 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/OcwWeb/web/terms/terms/index.htmInteraction with computer systems by voice, including speech synthesis, recognition, and digital recording techniques. Emphasis on human interface design issues and interaction techniques to successfully exploit the speech medium for computer applications, including extensive reading from current research literature. Topics include human speech production and perception, isolated and connected speech recognition, text-to-speech synthesis algorithms, telephone technologies, parsers, and dialogue generation.http://ocw.mit.edu/OcwWeb/Media-Arts-and-Sciences/MAS-632Fall-2008/CourseHome/index.htmSchmandt, Christopher2009-06-23T03:03:46-04:00MAS.632en-USMedia Arts and Sciencesvoicemailmobile applicationstelephonycomputer speechcomputer voicevoice responsecall centervoice recognitionvoice messagingaudio browsingcomprehensionnoisecodingaudiodigital speechspeech synthesisvoice synthesisdigital voiceMIT OpenCourseWare http://ocw.mit.eduContent 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/OcwWeb/web/terms/terms/index.htmA computational camera attempts to digitally capture the essence of visual information by exploiting the synergistic combination of task-specific optics, illumination, sensors and processing. In this couse we will study this emerging multi-disciplinary field at the intersection of signal processing, applied optics, computer graphics and vision, electronics, art, and online sharing through social networks. If novel cameras can be designed to sample light in radically new ways, then rich and useful forms of visual information may be recorded — beyond those present in traditional protographs. Furthermore, if computational process can be made aware of these novel imaging models, them the scene can be analyzed in higher dimensions and novel aesthetic renderings of the visual information can be synthesized. We will discuss and play with thermal cameras, multi-spectral cameras, high-speed, and 3D range-sensing cameras and camera arrays. We will learn about opportunities in scientific and medical imaging, mobile-phone based photography, camera for HCI and sensors mimicking animal eyes. We will learn about the complete camera pipeline. In several hands-on projects we will build physical imaging prototypes and understand how each stage of the imaging process can be manipulated. http://ocw.mit.edu/OcwWeb/Media-Arts-and-Sciences/MAS-963Fall-2008/CourseHome/index.htmRaskar, Ramesh 2009-06-23T03:03:07-04:00MAS.963en-USMedia Arts and SciencesComputer Graphicspolarizationhigh-speed imagingthermal imaging3D imagingmulti-spectralspectrumlensbiomimeticsmblogmedical imagingimage reconstructionimage sensorvisual art image processingdigital imagingdigital photographyonline photocomputer visionComputer graphicsapplied opticssignal processingMIT OpenCourseWare http://ocw.mit.eduContent 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/OcwWeb/web/terms/terms/index.htmFundamentals of signals, systems, and information theory with emphasis on modeling both the audio/visual message and the human recipient. Linear systems, difference equations, Z-transforms, sampling and sampling rate conversion, convolution, filtering, modulation, Fourier analysis, entropy, noise, Shannon's fundamental theorems. Additional topics may include data compression, filter design, and feature detection. Meets with graduate subject MAS.510, but assignments differ.http://ocw.mit.edu/OcwWeb/Media-Arts-and-Sciences/MAS-160Fall-2007/CourseHome/index.htmBove, V MichaelPicard, Rosalind2009-06-23T02:57:03-04:00MAS.160MAS.511MAS.510en-USMedia Arts and SciencesAudiovisual Communications Technologies/Technicians, Otherdigital signal processingsignal processingDSPerror correctioncodingcommunication channelinformation theorycommunications theorycommunications systemnoiseimpulse responsefilter responsefilterfrequency responseIIRz-transformDTFTDFTFFTreconstructionaliasingbasis sets. Sampling theoremWalsh functionsorthogonalityFMfrequency modulationFourier seriesAMamplitude modulationSpectrum plotspectrumdigitial photographyphotographydigital videodigital audiodigital mediaA/VvideovisualaudioMIT OpenCourseWare http://ocw.mit.eduContent 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/OcwWeb/web/terms/terms/index.htmFundamentals of signals, systems, and information theory with emphasis on modeling both the audio/visual message and the human recipient. Linear systems, difference equations, Z-transforms, sampling and sampling rate conversion, convolution, filtering, modulation, Fourier analysis, entropy, noise, Shannon's fundamental theorems. Additional topics may include data compression, filter design, and feature detection. Meets with graduate subject MAS.510, but assignments differ.http://ocw.mit.edu/OcwWeb/Media-Arts-and-Sciences/MAS-160Fall-2007/CourseHome/index.htmBove, V MichaelPicard, Rosalind2009-06-23T02:57:03-04:00MAS.160MAS.511MAS.510en-USMedia Arts and SciencesAudiovisual Communications Technologies/Technicians, Otherdigital signal processingsignal processingDSPerror correctioncodingcommunication channelinformation theorycommunications theorycommunications systemnoiseimpulse responsefilter responsefilterfrequency responseIIRz-transformDTFTDFTFFTreconstructionaliasingbasis sets. Sampling theoremWalsh functionsorthogonalityFMfrequency modulationFourier seriesAMamplitude modulationSpectrum plotspectrumdigitial photographyphotographydigital videodigital audiodigital mediaA/VvideovisualaudioMIT OpenCourseWare http://ocw.mit.eduContent 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/OcwWeb/web/terms/terms/index.htmFundamentals of signals, systems, and information theory with emphasis on modeling both the audio/visual message and the human recipient. Linear systems, difference equations, Z-transforms, sampling and sampling rate conversion, convolution, filtering, modulation, Fourier analysis, entropy, noise, Shannon's fundamental theorems. Additional topics may include data compression, filter design, and feature detection. Meets with graduate subject MAS.510, but assignments differ.http://ocw.mit.edu/OcwWeb/Media-Arts-and-Sciences/MAS-160Fall-2007/CourseHome/index.htmBove, V MichaelPicard, Rosalind2009-06-23T02:57:03-04:00MAS.160MAS.511MAS.510en-USMedia Arts and SciencesAudiovisual Communications Technologies/Technicians, Otherdigital signal processingsignal processingDSPerror correctioncodingcommunication channelinformation theorycommunications theorycommunications systemnoiseimpulse responsefilter responsefilterfrequency responseIIRz-transformDTFTDFTFFTreconstructionaliasingbasis sets. Sampling theoremWalsh functionsorthogonalityFMfrequency modulationFourier seriesAMamplitude modulationSpectrum plotspectrumdigitial photographyphotographydigital videodigital audiodigital mediaA/VvideovisualaudioMIT OpenCourseWare http://ocw.mit.eduContent 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/OcwWeb/web/terms/terms/index.htm