MIT OpenCourseWare: New OCW Scholar CoursesNew OCW Scholar Courses in all departments from MIT OpenCourseWare, provider of free and open MIT course materials.
http://ocw.mit.edu/courses/ocw-scholar-courses/
2014-12-08T21:31:44+05:00MIT 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/terms/index.htm6.041SC Probabilistic Systems Analysis and Applied Probability (MIT)This course introduces students to the modeling, quantification, and analysis of uncertainty. The tools of probability theory, and of the related field of statistical inference, are the keys for being able to analyze and make sense of data. These tools underlie important advances in many fields, from the basic sciences to engineering and management.
http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041sc-probabilistic-systems-analysis-and-applied-probability-fall-2013
Tsitsiklis, John2014-02-26T16:05:07+05:006.041SCen-USprobabilityprobability modelsbayes rulediscrete random variablescontinuous random variablesbernoulli processpoisson processmarkov chainscentral limit theoremstatistical inferenceMIT 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/terms/index.htm2.003SC Engineering Dynamics (MIT)This course is an introduction to the dynamics and vibrations of lumped-parameter models of mechanical systems. Topics covered include kinematics, force-momentum formulation for systems of particles and rigid bodies in planar motion, work-energy concepts, virtual displacements and virtual work. Students will also become familiar with the following topics: Lagrange's equations for systems of particles and rigid bodies in planar motion, and linearization of equations of motion. After this course, students will be able to evaluate free and forced vibration of linear multi-degree of freedom models of mechanical systems and matrix eigenvalue problems. Content Development J. Kim Vandiver David Gossard
http://ocw.mit.edu/courses/mechanical-engineering/2-003sc-engineering-dynamics-fall-2011
Vandiver, J. KimGossard, David2013-09-03T17:47:19+05:002.003SC1.053Jen-USdynamics and vibrationslumped-parameter modelskinematicsmomentumsystems of particles and rigid bodieswork-energy conceptsvirtual displacements and virtual workLagrange's equationsequations of motionlinear stability analysisfree and forced vibrationlinear multi-degree of freedom modelsmatrix eigenvalue problemsMIT 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/terms/index.htm7.01SC Fundamentals of Biology (MIT)Fundamentals of Biology focuses on the basic principles of biochemistry, molecular biology, genetics, and recombinant DNA. These principles are necessary to understanding the basic mechanisms of life and anchor the biological knowledge that is required to understand many of the challenges in everyday life, from human health and disease to loss of biodiversity and environmental quality.
http://ocw.mit.edu/courses/biology/7-01sc-fundamentals-of-biology-fall-2011
Lander, EricWeinberg, RobertJacks, TylerSive, HazelWalker, GrahamChisholm, SallieMischke, Michelle2012-05-09T13:29:00+05:007.01SCen-USamino acidscarboxyl groupamino groupside chainspolarhydrophobicprimary structuresecondary structuretertiary structurequaternary structurex-ray crystallographyalpha helixbeta sheetionic bondnon-polar bondvan der Waals interactionsproton gradientcyclic photophosphorylationsunlightATPchlorophyllchlorophyll aelectronshydrogen sulfidebiosynthesisnon-cyclic photophosphorylationphotosystem IIphotosystem Icyanobacteriachloroplaststromathylakoid membraneGeneticsMendelMendel's Lawscloningrestriction enzymesvectorinsert DNAligaselibraryE.ColiphosphataseyeasttransformationARG1 geneARG1 mutant yeastyeast wild-typecloning by complementationHuman Beta Globin geneprotein tetramervectorsantibodieshuman promotersplicingmRNAcDNAreverse transcriptaseplasmidelectrophoresisrestriction enzymesvectorDNA sequencingprimertemplatecapillary tubelaser detectorhuman genome projectrecombinant DNAcloneprimerprimer walkingsubcloningcomputer assemblyshotgun sequencingopen reading framedatabasespolymerase chain reaction (PCR)polymerasenucleotidesThermus aquaticusTaq polymerasethermocyclerresequencingin vitro fertilizationpre-implantation diagnosticsforensicsrecombinant DNAgenetic engineeringDNA sequencestherapeutic proteinsE. coliDNA sequencingdisease-causing mutationscleavage of DNAbacterial transformationrecombinant DNA revolutionbiotechnology industryRobert Swansontoxin genepathogenic bacteriumbiomedical researchS. Pyogenesorigin of replicationMIT 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/terms/index.htm9.00SC Introduction to Psychology (MIT)This course is a survey of the scientific study of human nature, including how the mind works, and how the brain supports the mind. Topics include the mental and neural bases of perception, emotion, learning, memory, cognition, child development, personality, psychopathology, and social interaction. Students will consider how such knowledge relates to debates about nature and nurture, free will, consciousness, human differences, self, and society.
http://ocw.mit.edu/courses/brain-and-cognitive-sciences/9-00sc-introduction-to-psychology-fall-2011
Gabrieli, John2012-05-01T14:18:05+05:009.00SCen-USpsychologybrainvisionattentionconsciousnesslearningmemorylanguagethinkingintelligenceemotionpersonalityhuman developmentstresspsychopathologysocial psychologyMIT 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/terms/index.htm6.00SC Introduction to Computer Science and Programming (MIT)This 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/courses/electrical-engineering-and-computer-science/6-00sc-introduction-to-computer-science-and-programming-spring-2011
Guttag, John2012-03-02T14:47:24+05:006.00SCen-USPython programmingalgorithmsdynamic programmingobject-oriented programmingdebuggingproblem solvingrecursioniterationsearch algorithmsprogram efficiencyorder of growthmemoizationhashingobject classesinheritanceMonte Carlo simulationcurve fittingoptimizationclusteringqueuing networksdata samplingMIT 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/terms/index.htm6.01SC Introduction to Electrical Engineering and Computer Science I (MIT)This course provides an integrated introduction to electrical engineering and computer science, taught using substantial laboratory experiments with mobile robots. Our primary goal is for you to learn to appreciate and use the fundamental design principles of modularity and abstraction in a variety of contexts from electrical engineering and computer science. Our second goal is to show you that making mathematical models of real systems can help in the design and analysis of those systems. Finally, we have the more typical goals of teaching exciting and important basic material from electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making.
http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-01sc-introduction-to-electrical-engineering-and-computer-science-i-spring-2011
Kaelbling, LeslieWhite, JacobAbelson, HaroldFreeman, DennisLozano-Pérez, TomásChuang, Isaac2012-02-13T15:10:04+05:006.01SCen-USPython programmingobject-oriented programmingstate machinessignals and systemslinear time-invariantLTIpolescircuitsop-ampsTheveninNortonsuperpositionprobabilitystate estimationsearch algorithmsMIT 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/terms/index.htm14.01SC Principles of Microeconomics (MIT)14.01 Principles of Microeconomics is an introductory undergraduate course that teaches the fundamentals of microeconomics. This course introduces microeconomic concepts and analysis, supply and demand analysis, theories of the firm and individual behavior, competition and monopoly, and welfare economics. Students will also be introduced to the use of microeconomic applications to address problems in current economic policy throughout the semester.
http://ocw.mit.edu/courses/economics/14-01sc-principles-of-microeconomics-fall-2011
Gruber, Jonathan2012-02-10T13:49:24+05:0014.01SCen-USMicroeconomicspricesnormative economicspositive economicsmicroeconomic applicationssupplydemandequilibriumdemand shiftsupply shiftgovernment interferenceelasticityrevenueempirical economicsconsumer theorypreference assumptionsindifference curvesutility functionsmarginal utilitybudget constraintsmarginal rate of transformationopportunity costconstrained utility maximizationcorner solutionsEngel curvesincome effectsubstitution effectGiffin goodlabor economicschild laborproducer theoryvariable inputsfixed inputsfirm production functionsmarginal rate of technical substitutionreturns to scaleproductivityperfect competitionsearch theoryresidual demandshutdown decisionsmarket equilibriumagency problemwelfare economicsconsumer surplusproducer surplusdead weight lossmonopolyoligopolymarket powerprice discriminationprice regulationantitrust policymergerscartelgame theoryNash equilibriumCournot modelduopolynon-cooperative competitionBertrand competitionfactor marketsinternational tradeuncertaintycapital marketsintertemporal choicereal interest ratecompoundinginflationinvestmentdiscount ratenet present valueincome distributionsocial welfare functionUtilitarianismRaulsian criteriaNozickiancommodity egalitarianismisowelfare curvessocial insurancesocial securitymoral hazardtaxationEITChealthcarePPACAMIT 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/terms/index.htm18.03SC Differential Equations (MIT)The laws of nature are expressed as differential equations. Scientists and engineers must know how to model the world in terms of differential equations, and how to solve those equations and interpret the solutions. This course focuses on the equations and techniques most useful in science and engineering.
http://ocw.mit.edu/courses/mathematics/18-03sc-differential-equations-fall-2011
Mattuck, ArthurMiller, HaynesOrloff, JeremyLewis, John2012-02-08T14:08:08+05:0018.03SCen-USOrdinary Differential EquationsODEmodeling physical systemsfirst-order ODE'sLinear ODE'ssecond order ODE'ssecond order ODE's with constant coefficientsUndetermined coefficientsvariation of parametersSinusoidal signalsexponential signalsoscillationsdampingresonanceComplex numbers and exponentialsFourier seriesperiodic solutionsDelta functionsconvolutionLaplace transform methodsMatrix systemsfirst order linear systemseigenvalues and eigenvectorsNon-linear autonomous systemscritical point analysisphase plane diagramsMIT 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/terms/index.htm18.06SC Linear Algebra (MIT)This course covers matrix theory and linear algebra, emphasizing topics useful in other disciplines such as physics, economics and social sciences, natural sciences, and engineering.
http://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011
Strang, Gilbert2012-01-24T16:18:50+05:0018.06SCen-USmatrix theorylinear algebrasystems of equationsvector spacesdeterminantseigenvaluessimilaritypositive definite matricesleast-squares approximationsstability of differential equationsnetworksFourier transformsMarkov processesMIT 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/terms/index.htm18.01SC Single Variable Calculus (MIT)This calculus course covers differentiation and integration of functions of one variable, and concludes with a brief discussion of infinite series. Calculus is fundamental to many scientific disciplines including physics, engineering, and economics.
http://ocw.mit.edu/courses/mathematics/18-01sc-single-variable-calculus-fall-2010
Jerison, David2011-01-12T12:16:43+05:0018.01SCen-USdifferentiation of functionsintegration of functionslimitscontinuitydifferentiation rulesextremum problemsdefinite integrationindefinite integrationfundamental theorem of calculustechniques of integrationapproximation of definite integralsimproper integralsl'Hôpital's ruleMIT 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/terms/index.htm3.091SC Introduction to Solid State Chemistry (MIT)Introduction to Solid State Chemistry is a first-year single-semester college course on the principles of chemistry. This unique and popular course satisfies MIT's general chemistry degree requirement, with an emphasis on solid-state materials and their application to engineering systems.
http://ocw.mit.edu/courses/materials-science-and-engineering/3-091sc-introduction-to-solid-state-chemistry-fall-2010
Sadoway, Donald2011-01-11T17:49:10+05:003.091SCen-USsolid state chemistryatomic structureatomic bondingcrystal structurecrystalline solidperiodic tableelectron shellx-ray spectroscopyamorphous solidreaction kineticsaqueous solutionsolid solutionbiomaterialpolymersemiconductorphase diagrammaterial 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/terms/index.htm18.02SC Multivariable Calculus (MIT)This course covers differential, integral and vector calculus for functions of more than one variable. These mathematical tools and methods are used extensively in the physical sciences, engineering, economics and computer graphics.
http://ocw.mit.edu/courses/mathematics/18-02sc-multivariable-calculus-fall-2010
Auroux, Denis2010-12-20T11:04:13+05:0018.02SCen-UScalculuscalculus of several variablesvector algebradeterminantsmatrixmatricesvector-valued functionspace motionscalar functionpartial differentiationgradientoptimization techniquesdouble integralsline integralsexact differentialconservative fieldsGreen's theoremtriple integralssurface integralsdivergence theorem Stokes' theoremapplicationsMIT 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/terms/index.htm