New courses in Mechanical Engineeringhttp://ocw.mit.edu/OcwWeb/Mechanical-Engineering/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.htmThis course teaches the design of contemporary information systems for biological and medical data. Examples are chosen from biology and medicine to illustrate complete life cycle information systems, beginning with data acquisition, following to data storage and finally to retrieval and analysis. Design of appropriate databases, client-server strategies, data interchange protocols, and computational modeling architectures. Students are expected to have some familiarity with scientific application software and a basic understanding of at least one contemporary programming language (e.g. C, C++, Java, Lisp, Perl, Python). A major term project is required of all students. This subject is open to motivated seniors having a strong interest in biomedical engineering and information system design with the ability to carry out a significant independent project.http://ocw.mit.edu/OcwWeb/Biological-Engineering/20-453JFall-2008/CourseHome/index.htmDewey, CYu, HanryBhowmick, Sourav2009-06-24T10:38:44-04:0020.453JHST.958J2.771Jen-USBiological EngineeringBiochemistry/Biophysics and Molecular Biologygene sequencingpharmaceuticaldrug targetdrug discoverydrug developmentontologiesbiological datarelational databaseSQLXMLpathway modelingdiagnosisgel electrophoresismicroarrayclinical trialclinical decision supportcomputational biologybioinformaticsproteomicsgenomicsExperiBaseschemadatabaseBioHaystacksemantic webCellMLSBMLSPARQLOWLRDFDICOMmedical recordsmolecular biologymetadatamedical imagingimagingMechanical EngineeringHealth Sciences and TechnologyMIT 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.htmEngineering laboratory subject for mechanical engineering juniors and seniors. Major emphasis 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. Limited enrollment. Description from course home page: 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. http://ocw.mit.edu/OcwWeb/Mechanical-Engineering/2-672Spring-2009/CourseHome/index.htmCheng, WaiHart, Douglas2009-06-23T02:56:19-04:002.672en-USMechanical EngineeringLaboratoriesMechanical EngineeringR & Dresearch and developmentexperimental methodanalytical methodprojectsseniorsjuniorsmechanical engineeringEngineering laboratoryMIT 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.htmThe objective is to teach in a unified manner the fundamentals of finite element analysis of solids, structures and fluids. This includes the theoretical foundations and appropriate use of finite element methods.http://ocw.mit.edu/OcwWeb/Mechanical-Engineering/2-094Spring-2008/CourseHome/index.htmBathe, Klaus-Jürgen2009-04-06T05:20:30-04:002.094en-USMechanical EngineeringMechanical Engineeringacoustic fluidsincompressible fluidsNavier-Stokesradiationconvectionconductiondisplacementshellsplatesbeamsstudent workADINAfinite element methodsfluid flowsheat transfernonlinear static analysisstructuressolidslinear static analysisMIT 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.htmSubject provides a solid theoretical foundation for the analysis and processing of experimental data, and real-time experimental control methods. Includes spectral analysis, filter design, system identification, simulation in continuous and discrete-time domains. Emphasis on practical problems with laboratory exercises. Subject is designated as a d'Arbeloff Laboratory "gateway" subject.http://ocw.mit.edu/OcwWeb/Mechanical-Engineering/2-161Fall-2008/CourseHome/index.htmRowell, Derek2009-04-20T03:20:23-04:002.161en-USMechanical EngineeringAstrophysicszerospoleslow-passwindowingfrequency responseconvolutionButterworthLaplace transformChebyshevop-ampssamplingcorrelation functionfast Fourier transformMATLABsimulation in continuous and discrete-time domainssystem identificationfilter designspectral analysisreal-time experimental control methodsanalysis and processing of experimental dataMIT 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.htmUnified theory of information with applications to computing, communications, thermodynamics, and other sciences. Digital signals and streams, codes, compression, noise, and probability. Reversible and irreversible operations. Information in biological systems. Channel capacity. Maximum-entropy formalism. Thermodynamic equilibrium, temperature. The Second Law of Thermodynamics. Quantum computation.http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-050JSpring-2008/CourseHome/index.htmLloyd, SethPenfield, Paul2009-01-07T11:01:22-05:006.050J2.110Jen-USElectrical Engineering and Computer ScienceMathematical Statistics and ProbabilityCommunications Technology/TechnicianMaterials Sciencesecond law of thermodynamics quantum computationtemperaturethermodynamic equilibriummaximum-entropy formalismchannel capacityinformation in biological systemsirreversible operationsreversible operationsprobabilitynoisecompressioncodesdigital signals and streamsthermodynamicscommunicationscomputinginformation and entropyMechanical EngineeringMIT 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.htmThe objective of this subject is to understand the nature of manufacturing process variation and the methods for its control. First, a general process model for control is developed to understand the limitations a specific process places on the type of control used. A general model for process variation is presented and three methods are developed to minimize variations: Statistical Process Control, Process Optimization and in-process Feedback Control. These are considered in a hierarchy of cost-performance tradeoffs, where performance is based on changes in process capability.http://ocw.mit.edu/OcwWeb/Mechanical-Engineering/2-830JSpring-2008/CourseHome/index.htmDavid HardtDuane Boning2009-01-27T04:06:59-05:002.830JESD.63J6.780Jen-USElectrical Engineering and Computer ScienceMechanical Engineeringsemiconductor manufacturingShewhart Hypothesisrobustnessone-factor-at-a-time2.830real-time controlstatistical process controloff-line optimizationempirical and adaptive modelingdiscrete system feedback control theorymanufacturing processProcess controlMechanical EngineeringEngineering Systems DivisionMIT 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