New courses in Electrical Engineering and Computer Sciencehttp://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/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.htm 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. http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-094January--IAP--2009/CourseHome/index.htmScepanovic, DaniloHo, Patrick2009-06-30T10:18:17-04:006.094en-USElectrical Engineering and Computer ScienceNeurosciencenervous systemfunction blockscopetoolboxessymbolic mathdebugginganimationimagesdata structuresstatisticsprobabilityodedifferential equationsoptimizationpolynomialslinear algebraflow controlfunctionsscriptsplottingvariablesmatlab programmingsimulinkmatlabMIT 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.htmThis course focuses on laws, approximations and relations of continuum electromechanics. Topics include mechanical and electromechanical transfer relations, statics and dynamics of electromechanical systems having a static equilibrium, electromechanical flows, and field coupling with thermal and molecular diffusion. Also covered are electrokinetics, streaming interactions, application to materials processing, magnetohydrodynamic and electrohydrodynamic pumps and generators, ferrohydrodynamics, physiochemical systems, heat transfer, continuum feedback control, electron beam devices, and plasma dynamics.http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-642Fall-2008/CourseHome/index.htmZahn, Markus2009-06-26T05:51:57-04:006.642en-USElectrical Engineering and Computer ScienceEngineering Mechanicsplasma dynamicselectron beam devicescontinuum feedback controlheat transferphysiochemical systemsferrohydrodynamicsmagnetohydrodynamic and electrohydrodynamic pumps and generatorsmaterials processingstreaming interactionselectrokineticsthermal and molecular diffusionfield couplingelectromechanical flowsstatic equililbriumelectromechanical systemsdynamicsstaticsmechanical and electromechanical transfer relationselectromechanicscontinuum mechanicsMIT 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.htmThis course is designed for undergraduate and graduate students in science, social science and engineering programs who need to learn fundamental programming skills quickly but not in great depth. The course is ideal for undergraduate research positions or summer jobs requiring C++. It is not a class for experienced programmers in C++. Students with no programming background are welcome. Topics include control structures, arrays, functions, classes, objects, file handling and simple algorithms for common tasks. 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. http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-096January--IAP--2009/CourseHome/index.htmMalik, RadhikaKumar, TanmayDunietz, Jesse2009-06-23T02:56:39-04:006.096en-USElectrical Engineering and Computer ScienceComputer Programming, Specific Applicationsathletic studentsnerdy studentscase studysmall programming projecttext-based gamesgamesarrayspointersstandard template libraryfile handlingoopobject oriented programmingclassesfunctionscontrol structureslearn to programc++ programmingMIT 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 course serves as an introductory course in parallel programming. It will have a series of lectures on parallel programming concepts as well as a group project providing hands-on experience with parallel programming. The students will have the unique opportunity to use the cutting-edge PLAYSTATION®3 development platform, as they learn how to design and implement exciting applications for multicore architectures. At the end of the course, students will have an understanding of • Fundamental design philosophies that multicore architectures address. • Parallel programming philosophies and emerging best practices. http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-189January--IAP--2007/CourseHome/index.htmAmarasinghe, SamanRabbah, Rodric2009-06-23T02:56:32-04:006.189en-USElectrical Engineering and Computer ScienceComputer Programming/Programmer, GeneralcompetitionSony PlayStation 3parallel programming patternsmulticore architecturesMIT 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.htmSequential decision-making via dynamic programming. Unified approach to optimal control of stochastic dynamic systems and Markovian decision problems. Applications in linear-quadratic control, inventory control, and resource allocation models. Optimal decision making under perfect and imperfect state information. Certainty equivalent and open loop-feedback control, and self-tuning controllers. Infinite horizon problems, successive approximation, and policy iteration. Discounted problems, stochastic shortest path problems, and average cost problems. Optimal stopping, scheduling, and control of queues. Approximations and neurodynamic programming.http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-231Fall-2008/CourseHome/index.htmBertsekas, Dimitri2009-06-15T03:18:58-04:006.231en-USElectrical Engineering and Computer ScienceMathematical Statistics and Probabilityapproximate dynamic programmingstochastic shortest pathrolloutstate informationshortest pathdeterministic systemsdynamic programming and optimal controldynamical systemoptimal controllarge state spacestate spaceapproximation methodsinfinite horizonfinite horizonsequential decision makinguncertaintydecision makingstochastic controldynamic programmingMIT 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.htmThis course is an introduction to Java programming and software engineering. It is designed for those who have little or no programming experience in Java and covers concepts useful to 6.005. The focus is on developing high quality, working software that solves real problems. Students will learn the fundamentals of Java, and how to use 3rd party libraries to get more done with less work. Each session includes one hour of lecture and one hour of assisted lab work. Short labs are assigned with each lecture. 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.http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-092January--IAP--2009/CourseHome/index.htmJones, EvanCudre-Mauroux, PhilippeKoch, Olivier2009-04-05T11:14:41-04:006.092en-USElectrical Engineering and Computer ScienceEducational Assessment, Testing, and Measurementprogramming styledebuggingunit testingtestingeclipseexceptionsdesignabstractioninheritanceclassesobjectsarraysloopsconditionalsmethodssoftware designobject oriented programmingintroductory programmingprogrammingsoftware engineeringjavaMIT 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.htmLectures and labs on digital logic, flipflops, PALs, counters, timing, synchronization, finite-state machines, and microprogrammed systems prepare students for the design and implementation of a final project of their choice: games, music, digital filters, graphics, etc. Extensive use of VHDL for describing and implementing digital logic designs. Possible use of lab report for Phase II of the Writing Requirement. Six extra units possible via registration for 6.905 after project proposal.http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-111Spring-2006/CourseHome/index.htmChandrakasan, Anantha2009-03-05T04:08:10-05:006.111en-USElectrical Engineering and Computer ScienceDigital Communication and Media/Multimediaverilogwireless communicationsdigital filterssynchronizationtimingcountersFPGAdigital circuit designVHDLPROMPALdigital oscilloscopesdigital paradigmdigital abstractionsmicroprogrammed systemsFSMfinite-state machinesflip-flopsBoolean algebradigital logiclaboratorydigital systems 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.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.htmThis course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems.http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-006Spring-2008/CourseHome/index.htmRivest, RonaldDemaine, ErikDevadas, Srinivas2009-01-13T03:21:02-05:006.006en-USElectrical Engineering and Computer ScienceInformation Technologydivide and conquerdynamic programmingmemoizationdepth first searchbreadth first searchpriority queueshash functionschainingimage resizingfibonaccidijkstralongest common substringdocument distancenumericsdynamic programmingshortest pathssearchingsortinghashingbinary search treespython cost modelpythonalgorithmsMIT 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