New courses in Electrical Engineering and Computer Sciencehttp://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/index.htm2009-10-29MIT 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.htmElectromagnetic phenomena are explored in modern applications including wireless communications, circuits, computer interconnects and peripherals, optical fiber links and components, microwave communications and radar, antennas, sensors, micro-electromechanical systems, and power generation and transmission. Fundamentals include quasistatic and dynamic solutions to Maxwell's equations; waves, radiation, and diffraction; coupling to media and structures; guided and unguided waves; resonance; and forces, power, and energy.http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-013Spring-2009/CourseHome/index.htmStaelin, David2009-09-04T03:56:34-04:006.013en-USElectrical Engineering and Computer ScienceLaser and Optical Technology/Technicianopticsacousticsopticalsensorsactuatorscommunications systemsmaterialscurrentschargescircuit behaviortransmissionboundariesdynamicstaticLorentz force lawLorentzMaxwell's equationsMaxwellelectromagnetic fieldselectromagneticsMIT 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.htmIntroduction to a theory that tries to explain how minds are made from collections of simpler processes. Treats such aspects of thinking as vision, language, learning, reasoning, memory, consciousness, ideals, emotions, and personality. Incorporates ideas from psychology, artificial intelligence, and computer science to resolve theoretical issues such as wholes vs parts, structural vs functional descriptions, declarative vs procedural representations, symbolic vs connectionist models, and logical vs common-sense theories of learning.http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-868JSpring-2007/CourseHome/index.htmMinsky, Marvin2009-09-28T04:53:25-04:006.868JMAS.731Jen-USElectrical Engineering and Computer ScienceCognitive Psychology and Psycholinguisticsmental processescommon sense thinkingemotion machinehuman mindabstract modelartificial intelligencethinkinghow minds workMedia Arts and SciencesMIT 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 subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python™ programming language.http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-00Fall-2008/CourseHome/index.htmGuttag, JohnGrimson, Eric2009-09-10T12:22:44-04:006.00en-USElectrical Engineering and Computer ScienceComputer and Information Sciences, Othersoftware engineeringbuilding computational modelsexceptionscontrol flowbig O notationsimulationmodulesoptimization problemsalgorithmslibrariesinheritanceclassesbinary searchrecursionPython programmingproblem solvingcomputationcomputer scienceMIT 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.htmClassical mechanics in a computational framework. Lagrangian formulation. Action, variational principles. Hamilton's principle. Conserved quantities. Hamiltonian formulation. Surfaces of section. Chaos. Liouville's theorem and Poincar, integral invariants. Poincar,-Birkhoff and KAM theorems. Invariant curves. Cantori. Nonlinear resonances. Resonance overlap and transition to chaos. Properties of chaotic motion. Transport, diffusion, mixing. Symplectic integration. Adiabatic invariants. Many-dimensional systems, Arnold diffusion. Extensive use of computation to capture methods, for simulation, and for symbolic analysis.http://ocw.mit.edu/OcwWeb/Earth--Atmospheric--and-Planetary-Sciences/12-620JFall-2008/CourseHome/index.htmWisdom, JackSussman, Gerald2009-09-10T01:47:49-04:0012.620J8.351J6.946Jen-USEarth, Atmospheric, and Planetary SciencesEngineering Mechanicschaosresonanceinvariant curveskam theorembirkhoffPoincareliouvillecanonical transformationssurfaces of sectioncanonical equationsHamiltonianrigid bodieshamilton principleequation of motionvariational principlesactionlagrangianphase spacestructure and interpretation of classical mechanicscomputational classical mechanicsclassical mechanicsPhysicsElectrical Engineering and Computer ScienceMIT 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.htmSupplementary work on individual or group basis. Registration subject to prior arrangement for subject matter and supervision by staff.http://ocw.mit.edu/OcwWeb/Media-Arts-and-Sciences/MAS-965Fall-2008/CourseHome/index.htmRotberg, JhonatanSarmenta, Luis2009-07-08T11:25:19-04:00MAS.965SP.7166.976en-USElectrical Engineering and Computer ScienceCommunications Systems Installation and Repair Technologycan you make a cellphone change the world?ICT4DICTpovertybottom of the pyramidcivic engagementeducationeconomic empowermenthealth careinnovationmobile technologymobile phoneSMScellular technologycell phonecommunications technologysocial venturesocial entrepreneurshipmicro-financeinternational developmentsustainable developmentappropriate technologySpecial ProgramsMedia Arts and SciencesMIT 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 first-year graduate course in algorithms. Emphasizes fundamental algorithms and advanced methods of algorithmic design, analysis, and implementation. Data structures. Network flows. Linear programming. Computational geometry. Approximation algorithms. Alternate years.http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-854JFall-2008/CourseHome/index.htmGoemans, Michel 2009-07-17T10:18:08-04:006.854J18.415Jen-USElectrical Engineering and Computer ScienceComputational Mathematics18.4156.854Data StructuresNumber-Theoretic AlgorithmsPlanarity Testing of GraphsApproximation AlgorithmsNetwork FlowsLinear ProgrammingMathematicsMIT 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 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 offered to graduate students and covers topics in five major areas of quantum optical communication: quantum optics, single-mode and two-mode quantum systems, multi-mode quantum systems, nonlinear optics, and quantum systems theory. Specific topics include the following: Dirac notation quantum mechanics; harmonic oscillator quantization; number states, coherent states, and squeezed states; P-representation and classical fields; direct, homodyne, and heterodyne detection; linear propagation loss; phase insensitive and phase sensitive amplifiers; entanglement and teleportation; field quantization; quantum photodetection; phase-matched interactions; optical parametric amplifiers; generation of squeezed states, photon-twin beams, non-classical fourth-order interference, and polarization entanglement; optimum binary detection; quantum precision measurements; and quantum cryptography. http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-453Fall-2008/CourseHome/index.htmShapiro, Jeffrey2009-10-20T04:22:15-04:006.453en-USElectrical Engineering and Computer ScienceOptics/Optical Sciencesand quantum teleportation.quantum cryptographyquantum precision measurementsand polarization entanglement. Quantum systems theory: optimum binary detectionnon-classical fourth-order interferencephoton-twin beamsgeneration of squeezed statesoptical parametric amplifiersand homodyne detection. Second-order nonlinear optics: phasematched interactionsheterodyne detectionphase-insensitive and phase-sensitive amplifiers. Quantum photodetection: direct detectionbeam splittersP-representation and classical fields. Linear loss and linear amplification: commutator preservation and the Uncertainty Principleradiation field quantization and quantum field propagationand squeezed statescoherent statesnumber statesharmonic oscillator quantizationQuantum optics: Dirac notation quantum 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.htmIn these times of economic and environmental uncertainty, you may wonder how you can make a difference in the complex issues affecting your world. Knowledge truly is power, and OCW puts MIT’s world-class knowledge in the hands of individuals and organizations around the world seeking solutions to our most difficult challenges. By supporting OCW, you support a world of change. Please donate today and help keep OCW going and growing.http://ocw.mit.edu/OcwWeb/web/donate/invest/index.htm?utm_source=RSSMIT OpenCourseWare2009-10-20T11:59:59-04:00en-USMIT 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