MIT OpenCourseWare: All OCW Scholar CoursesAll OCW Scholar Courses in all departments from MIT OpenCourseWare, provider of free and open MIT course materials.
https://ocw.mit.edu/courses/ocw-scholar-courses/
2019-07-12T15:27:07+05:00MIT OpenCourseWare https://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 https://ocw.mit.edu/terms/index.htm8.03SC Physics III: Vibrations and Waves (MIT)Vibrations and waves are everywhere. If you take any system and disturb it from a stable equilibrium, the resultant motion will be waves and vibrations. Think of a guitar string—pluck the string, and it vibrates. The sound waves generated make their way to our ears, and we hear the string’s sound. Our eyes see what’s happening because they receive the electromagnetic waves of the light reflected from the guitar string, so that we can recognize the beautiful sinusoidal waves on the string. In fact, without vibrations and waves, we could not recognize the universe around us at all!
The amazing thing is that we can describe many fascinating phenomena arising from very different physical systems with mathematics. This course will provide you with the concepts and mathematical tools necessary to understand and explain a broad range of vibrations and waves. You will learn that waves come from many interconnected (coupled) objects when they are vibrating together. We will discuss many of these phenomena, along with related topics, including mechanical vibrations and waves, sound waves, electromagnetic waves, optics, and gravitational waves.
https://ocw.mit.edu/courses/physics/8-03sc-physics-iii-vibrations-and-waves-fall-2016
Fall2016Lee, Yen-Jie2018-04-18T16:40:04+05:008.03SCen-USmechanical vibrationswavessimple harmonic motionsuperpositionforced vibrationsresonancecoupled oscillationsnormal modesvibrations of continuous systemsreflectionrefractionphasegroup velocity. Opticswave solutions to Maxwell's equationspolarizationSnell's LawinterferenceHuygens's principleMIT OpenCourseWare https://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 https://ocw.mit.edu/terms/index.htm5.07SC Biological Chemistry I (MIT)This course examines the chemical and physical properties of the cell and its building blocks, with special emphasis on the structures of proteins and principles of catalysis, as well as the chemistry of organic / inorganic cofactors required for chemical transformations within the cell. Topics encompass the basic principles of metabolism and regulation in pathways, including glycolysis, gluconeogenesis, fatty acid synthesis / degradation, pentose phosphate pathway, Krebs cycle and oxidative phosphorylation. Course Format This OCW Scholar course, designed for independent study, is closely modeled on the course taught on the MIT campus. The on-campus course has two types of class sessions: Lectures and recitations. The lectures meet three times each week and recitations meet once a week. In recitations, an instructor or Teaching Assistant elaborates on concepts presented in lecture, working through new examples with student participation, and answers questions. MIT students who take the corresponding residential class typically report an average of 10–15 hours spent each week, including lectures, recitations, readings, homework, and exams. All students are encouraged to supplement the textbooks and readings with their own research. The Scholar course has three major learning units, called Modules. Each module has been divided into a sequence of lecture sessions that include: Textbook ReadingsLecture Notes or StoryboardsA video by Professor JoAnne Stubbe or Professor John EssigmannProblem Sets and solutions To help guide your learning, each of these problem sets are accompanied by Problem Solving Videos where Dr. Bogdan Fedeles solves one of the problems from the set.
https://ocw.mit.edu/courses/chemistry/5-07sc-biological-chemistry-i-fall-2013
Fall2013Essigmann, JohnStubbe, JoAnneFedeles, Bogdan2017-08-22T12:37:56+05:005.07SCen-USprotein structureenzymescatalysisbiochemical transformationsorganic cofactorsinorganic cofactorsredox cofactorsmetabolismglycolysisglycogen synthesisgluconeogenesisfatty acid synthesisfatty acid degradationpentose phosphate pathwayKrebs cycleoxidative phosphorylationMIT OpenCourseWare https://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 https://ocw.mit.edu/terms/index.htm5.111SC Principles of Chemical Science (MIT)This course provides an introduction to the chemistry of biological, inorganic, and organic molecules. The emphasis is on basic principles of atomic and molecular electronic structure, thermodynamics, acid-base and redox equilibria, chemical kinetics, and catalysis. One year of high school chemistry is the expected background for this freshman-level course.
The aims include developing a unified and intuitive view of how electronic structure controls the three-dimensional shape of molecules, the physical and chemical properties of molecules in gases, liquids and solids, and ultimately the assembly of macromolecules as in polymers and DNA. Relationships between chemistry and other fundamental sciences such as biology and physics are emphasized, as are the relationships between the science of chemistry to its applications in environmental science, atmospheric chemistry and electronic devices.
Acknowledgements
Professor Drennan would like to acknowledge the contributions of MIT Lecturer Dr. Elizabeth Vogel Taylor, Professor Sylvia Ceyer, and Professor Robert Silbey to the development of this course and its materials.
https://ocw.mit.edu/courses/chemistry/5-111sc-principles-of-chemical-science-fall-2014
Fall2014Drennan, Catherine2017-08-03T16:48:55+05:005.111SCen-USchemistrybiological moleculesinorganic moleculesorganic moleculesatomic structuremolecular electronic structurethermodynamicsacid-base equilibriumredox equilibriumchemical kineticscatalysisMIT OpenCourseWare https://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 https://ocw.mit.edu/terms/index.htm8.01SC Classical Mechanics (MIT)This first course in the physics curriculum introduces classical mechanics. Historically, a set of core concepts—space, time, mass, force, momentum, torque, and angular momentum—were introduced in classical mechanics in order to solve the most famous physics problem, the motion of the planets. The principles of mechanics successfully described many other phenomena encountered in the world. Conservation laws involving energy, momentum and angular momentum provided a second parallel approach to solving many of the same problems. In this course, we will investigate both approaches: Force and conservation laws. Our goal is to develop a conceptual understanding of the core concepts, a familiarity with the experimental verification of our theoretical laws, and an ability to apply the theoretical framework to describe and predict the motions of bodies.
https://ocw.mit.edu/courses/physics/8-01sc-classical-mechanics-fall-2016
Fall2016Chakrabarty, DeeptoDourmashkin, PeterTomasik, MichelleFrebel, AnnaVuletic, Vladan2017-06-02T13:19:25+05:008.01SCen-USclassical mechanicsSpace and timestraight-line kinematicsmotion in a planeforces and equilibriumexperimental basis of Newton's lawsparticle dynamicsuniversal gravitationcollisions and conservation lawswork and potential energyvibrational motionconservative forcesinertial forces and non-inertial framescentral force motionsrigid bodies and rotational dynamicsMIT OpenCourseWare https://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 https://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.
https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041sc-probabilistic-systems-analysis-and-applied-probability-fall-2013
Fall2013Tsitsiklis, John2014-02-26T16:05:07+05:006.041SCen-USprobabilityprobability modelsbayes rulediscrete random variablescontinuous random variablesbernoulli processpoisson processmarkov chainscentral limit theoremstatistical inferenceMIT OpenCourseWare https://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 https://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.
https://ocw.mit.edu/courses/mechanical-engineering/2-003sc-engineering-dynamics-fall-2011
Fall2011Vandiver, 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 https://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 https://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.
https://ocw.mit.edu/courses/biology/7-01sc-fundamentals-of-biology-fall-2011
Fall2011Lander, 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 https://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 https://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.
https://ocw.mit.edu/courses/brain-and-cognitive-sciences/9-00sc-introduction-to-psychology-fall-2011
Fall2011Gabrieli, John2012-05-01T14:18:05+05:009.00SCen-USpsychologybrainvisionattentionconsciousnesslearningmemorylanguagethinkingintelligenceemotionpersonalityhuman developmentstresspsychopathologysocial psychologyMIT OpenCourseWare https://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 https://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.
https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-00sc-introduction-to-computer-science-and-programming-spring-2011
Spring2011Guttag, 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 https://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 https://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.
https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-01sc-introduction-to-electrical-engineering-and-computer-science-i-spring-2011
Spring2011Kaelbling, 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 https://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 https://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. This course is a core subject in MIT's undergraduate Energy Studies Minor. This Institute-wide program complements the deep expertise obtained in any major with a broad understanding of the interlinked realms of science, technology, and social sciences as they relate to energy and associated environmental challenges.
https://ocw.mit.edu/courses/economics/14-01sc-principles-of-microeconomics-fall-2011
Fall2011Gruber, 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 https://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 https://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.
https://ocw.mit.edu/courses/mathematics/18-03sc-differential-equations-fall-2011
Fall2011Mattuck, 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 https://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 https://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. It parallels the combination of theory and applications in Professor Strang’s textbook Introduction to Linear Algebra.
https://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011
Fall2011Strang, Gilbert2012-01-24T16:18:50+05:0018.06SCen-USmatrix theorylinear algebrasystems of equationsvector spacesdeterminantseigenvaluessimilaritypositive definite matricesleast-squares approximationsstability of differential equationsnetworksFourier transformsMarkov processesMIT OpenCourseWare https://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 https://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.
https://ocw.mit.edu/courses/mathematics/18-01sc-single-variable-calculus-fall-2010
Fall2010Jerison, 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 https://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 https://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.
https://ocw.mit.edu/courses/materials-science-and-engineering/3-091sc-introduction-to-solid-state-chemistry-fall-2010
Fall2010Sadoway, 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 https://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 https://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.
https://ocw.mit.edu/courses/mathematics/18-02sc-multivariable-calculus-fall-2010
Fall2010Auroux, 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 https://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 https://ocw.mit.edu/terms/index.htm