MIT OpenCourseWare: New Translated Courses (Thai)New Translated courses (Thai) in all departments from MIT OpenCourseWare, provider of free and open MIT course materials.
http://ocw.mit.edu/courses/lang/th/
2016-07-29T11:13:36+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.htm6.096 Introduction to C++ (MIT)This is a fast-paced introductory course to the C++ programming language. It is intended for those with little programming background, though prior programming experience will make it easier, and those with previous experience will still learn C++-specific constructs and concepts. 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://mit-ocw-thai.eng.chula.ac.th/MIT_THAI/e27e34e28e27e01e23e23e21e44e1fe1fe49e32e41e25e30e04e2de21e1ee34e27e40e15e2de23e4c-electrical-engineering-and-computer-science/6.096-e20e32e29e32e0be35e1ee25e31e2ae1ee25e31e2ae40e1ae37e49e2de07e15e49e19-iap-2009
January IAP2011Dunietz, JesseKovacs, GezaMarrero, John2011-03-18T14:47:18+05:006.096en-USC++ programmingcontrol flowfunctionsarraysstringspointersclassesobject oriented programmingmemory managementMIT 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.htm6.087 Practical Programming in C (MIT)This course provides a thorough introduction to the C programming language, the workhorse of the UNIX operating system and lingua franca of embedded processors and micro-controllers. The first two weeks will cover basic syntax and grammar, and expose students to practical programming techniques. The remaining lectures will focus on more advanced concepts, such as dynamic memory allocation, concurrency and synchronization, UNIX signals and process control, library development and usage. Daily programming assignments and weekly laboratory exercises are required. Knowledge of C is highly marketable for summer internships, UROPs, and full-time positions in software and embedded systems development.
http://mit-ocw-thai.eng.chula.ac.th/MIT_THAI/e27e34e28e27e01e23e23e21e44e1fe1fe49e32e41e25e30e04e2de21e1ee34e27e40e15e2de23e4c-electrical-engineering-and-computer-science/6.087-practical-programming-in-c
January IAP2010Weller, DanielChikkerur, Sharat2010-06-28T14:42:27+05:006.087en-USwriting C programscompiling C programsvariables and datatypescontrol flowinput and outputpointers and memory addressingarrays and pointer arithmeticmemory allocationstacks and queueshash tablesC standard librarydynamic memory allocationmultithreadingconcurrencyasynchronous input/outputMIT 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.htm6.867 Machine Learning (MIT)
6.867 is an introductory course on machine learning which gives an overview of many concepts, techniques, and algorithms in machine learning, beginning with topics such as classification and linear regression and ending up with more recent topics such as boosting, support vector machines, hidden Markov models, and Bayesian networks. The course will give the student the basic ideas and intuition behind modern machine learning methods as well as a bit more formal understanding of how, why, and when they work. The underlying theme in the course is statistical inference as it provides the foundation for most of the methods covered.
http://mit-ocw-thai.eng.chula.ac.th/MIT_THAI/e27e34e28e27e01e23e23e21e44e1fe1fe49e32e41e25e30e04e2de21e1ee34e27e40e15e2de23e4c-electrical-engineering-and-computer-science/6.867-e01e32e23e40e23e35e22e19e23e39e49e02e2de07e40e04e23e37e48e2de07-e24e14e39e43e1ae44e21e49e23e48e27e07-2002
Fall2006Singh, RohitJaakkola, TommiMohammad, Ali2008-07-14T13:09:13+05:006.867en-USmachine learning algorithmsstatistical inferencerepresentationgeneralizationmodel selectionlinear/additive modelsactive learningboostingsupport vector machineshidden Markov modelsBayesian networksclassificationlinear regressionmodern machine learning methodsMIT 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.htm6.189 A Gentle Introduction to Programming Using Python (MIT)
This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff.
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://mit-ocw-thai.eng.chula.ac.th/MIT_THAI/e27e34e28e27e01e23e23e21e44e1fe1fe49e32e41e25e30e04e2de21e1ee34e27e40e15e2de23e4c-electrical-engineering-and-computer-science/6.189-e01e32e23e40e23e34e48e21e15e49e19e40e02e35e22e19e42e1be23e41e01e23e21e14e49e27e22-python-e2de22e48e32e07e04e48e2de22e40e1be47e19e04e48e2de22e44e1b-a-gentle-introduction-to-programming-using-python
January IAP2008Kedia, MihirKishore, Aseem2008-06-26T10:01:08+05:006.189en-USPythonintroduction to programminghow to think like a computer scientistcontrol flowlistsstringstuplesobjectsmutabilityscopedictionariesweb searchrecursionbranching and repetitionstructuring programsdebugging programsdata structuresteamworkmodularityincremental 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/terms/index.htm6.101 Introductory Analog Electronics Laboratory (MIT)6.101 is an introductory experimental laboratory that explores the design, construction, and debugging of analog electronic circuits. Lectures and six laboratory projects investigate the performance characteristics of diodes, transistors, JFETs, and op-amps, including the construction of a small audio amplifier and preamplifier. Seven weeks are devoted to the design and implementation, and written and oral presentation of a project in an environment similar to that of engineering design teams in industry. The course provides opportunity to simulate real-world problems and solutions that involve trade offs and the use of engineering judgment. Engineers from local analog engineering companies come to campus to help students with their design projects.
http://mit-ocw-thai.eng.chula.ac.th/MIT_THAI/e27e34e28e27e01e23e23e21e44e1fe1fe49e32e41e25e30e04e2de21e1ee34e27e40e15e2de23e4c-electrical-engineering-and-computer-science/6.101-e1be0fe34e1ae31e15e34e01e32e23e27e07e08e23e41e2de19e30e25e47e2de01e40e1ae37e49e2de07e15e49e19-e24e14e39e43e1ae44e21e49e23e48e27e07-2002-6.101-introductory-analog-electronics-laboratory-fall-2002
Spring2007Roscoe, Ron2008-06-09T15:47:06+05:006.101en-USanalog electronic circuitsdiode characteristicstransistorsJFETsop-ampsaudio amplifierpreamplifieraudio and radio frequency circuitselectronic test equipmentdigital multimeteroscilloscopefunction generatorcurve tracerMIT 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.htmESD.04J Frameworks and Models in Engineering Systems / Engineering System Design (MIT)
This class provides an introduction to quantitative models and qualitative frameworks for studying complex engineering systems. Also taught is the art of abstracting a complex system into a model for purposes of analysis and design while dealing with complexity, emergent behavior, stochasticity, non-linearities and the requirements of many stakeholders with divergent objectives. The successful completion of the class requires a semester-long class project that deals with critical contemporary issues which require an integrative, interdisciplinary approach using the above models and frameworks.
http://mit-ocw-thai.eng.chula.ac.th/MIT_THAI/e41e1ce19e01e23e30e1ae1ae27e34e28e27e01e23e23e21-engineering-systems-division/esd.04j-1.041j-esd.01j-e01e23e2de1ae41e19e27e04e34e14e41e25e30e41e1ae1ae08e25e2de07e43e19e27e34e28e27e01e23e23e21e23e30e1ae1a-e01e32e23e2de2de01e41e1ae1ae43e19e27e34e28e27e01e23e23e21e23e30e1ae1a
Spring2007Sussman, Joseph2008-05-15T13:22:11+05:00ESD.04J1.041JESD.01Jen-USESD.04JESD.041.041J1.041ESD.01JESD.01frameworks and models in engineering systemsquantitative modelsqualitative frameworkscomplex engineering systemsanalysis and designemergent behaviorstochasticitynon-linearitiesarchitectural system configurationMIT 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.htm3.063 Polymer Physics (MIT)
This course presents the mechanical, optical, and transport properties of polymers with respect to the underlying physics and physical chemistry of polymers in melt, solution, and solid state. Topics include conformation and molecular dimensions of polymer chains in solutions, melts, blends, and block copolymers; an examination of the structure of glassy, crystalline, and rubbery elastic states of polymers; thermodynamics of polymer solutions, blends, crystallization; liquid crystallinity, microphase separation, and self-assembled organic-inorganic nanocomposites. Case studies include relationships between structure and function in technologically important polymeric systems.
http://mit-ocw-thai.eng.chula.ac.th/MIT_THAI/materials-science-and-engineering-e27e34e17e22e32e01e32e23e41e25e30e27e34e28e27e01e23e23e21e27e31e2ae14e38/3.063-e1fe34e2ae34e01e2ae4ce02e2de07e1ee2de25e34e40e21e2de23e4c-e40e17e2de21e24e14e39e43e1ae44e21e49e1ce25e34-2550
Spring2007Thomas, Edwin (Ned)2008-04-10T06:30:08+05:003.063en-USmechanicalopticaltransportphysical chemistrychemistryphysicsmeltsolutionsolidpolymer chaincopolymerglasscrystalrubberelasticthermodynamicsmicrophase separationorganicinorganicnanocompositeMIT 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.htm6.002 Circuits and Electronics (MIT)6.002 is designed to serve as a first course in an undergraduate electrical engineering (EE), or electrical engineering and computer science (EECS) curriculum. At MIT, 6.002 is in the core of department subjects required for all undergraduates in EECS. The course introduces the fundamentals of the lumped circuit abstraction. Topics covered include: resistive elements and networks; independent and dependent sources; switches and MOS transistors; digital abstraction; amplifiers; energy storage elements; dynamics of first- and second-order networks; design in the time and frequency domains; and analog and digital circuits and applications. Design and lab exercises are also significant components of the course. 6.002 is worth 4 Engineering Design Points. The 6.002 content was created collaboratively by Profs. Anant Agarwal and Jeffrey H. Lang. The course uses the required textbook Foundations of Analog and Digital Electronic Circuits. Agarwal, Anant, and Jeffrey H. Lang. San Mateo, CA: Morgan Kaufmann Publishers, Elsevier, July 2005. ISBN: 9781558607354.
http://mit-ocw-thai.eng.chula.ac.th/MIT_THAI/e27e34e28e27e01e23e23e21e44e1fe1fe49e32e41e25e30e04e2de21e1ee34e27e40e15e2de23e4c-electrical-engineering-and-computer-science/6.002-e27e07e08e23e44e1fe1fe49e32e41e25e30e2de34e40e25e47e01e17e23e2de19e34e01e2ae4c-e24e14e39e43e1ae44e21e49e23e48e27e07-2000
Spring2007Agarwal, Anant2008-01-04T01:10:54+05:006.002en-USFundamentals of the lumped circuit abstractionResistive elements and networksindependent and dependent sourcesswitches and MOS devicesdigital abstractionamplifiersand energy storage elementsDynamics of first- and second-order networksdesign in the time and frequency domainsanalog and digital circuits and applicationsMIT 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.htm20.106J Systems Microbiology (MIT)
This course covers introductory microbiology from a systems perspective, considering microbial diversity, population dynamics, and genomics. Emphasis is placed on the delicate balance between microbes and humans, and the changes that result in the emergence of infectious diseases and antimicrobial resistance. The case study approach covers such topics as vaccines, toxins, biodefense, and infections including Legionnaire’s disease, tuberculosis, Helicobacter pylori, and plague.
http://mit-ocw-thai.eng.chula.ac.th/MIT_THAI/e27e34e28e27e01e23e23e21e0ae35e27e20e32e1e-biological-engineering-1/20.106j-1.084j-systems-microbiology-e24e14e39e43e1ae44e21e49e23e48e27e07-2006
Fall2006Schauer, DavidDeLong, Edward2007-10-25T00:51:49+05:0020.106J1.084Jen-USmicrobesmicrobiologysystems perspectiveearly earthmicrobial evolutionprokaryoteeukaryotearchaeabacteriaimmunologyepidemiologyMIT 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.htm6.883 Pervasive Human Centric Computing (SMA 5508) (MIT)
This course is broad, covering a wide range of topics that have to do with the post-pc era of computing. It is a hands-on project course that also includes some foundational subjects. Students will program iPAQ handheld computers, cell phones (series 60 phones), speech processing, vision, Cricket location systems, GPS, and more. Most of the programming will be using Python®, but Python® can be learned and mastered during the course.
This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5508 (Pervasive Computing).
http://mit-ocw-thai.eng.chula.ac.th/MIT_THAI/e27e34e28e27e01e23e23e21e44e1fe1fe49e32e41e25e30e04e2de21e1ee34e27e40e15e2de23e4c-electrical-engineering-and-computer-science/6.883-e01e32e23e04e2de21e1ee34e27e40e15e2de23e4ce17e35e48e41e1ee23e48e2be25e32e22e41e25e30e21e35e21e19e38e29e22e4ce40e1be47e19e28e39e19e22e4ce01e25e32e07-pervasive-human-centric-computing-sma-5508-e24e14e39e43e1ae44e21e49e1ce25e34-2006
Spring2006Rudolph, Larry2006-11-08T21:55:23+05:006.883en-USiPaqCell phonesSpeech processingVisionCricket location systemsGPSPythonpost-pc era of computingprogramming exercisesMIT 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.htmESD.68J Communications and Information Policy (MIT)
This course provides an introduction to the technology and policy context of public communications networks, through critical discussion of current issues in communications policy and their historical roots. The course focuses on underlying rationales and models for government involvement and the complex dynamics introduced by co-evolving technologies, industry structure, and public policy objectives. Cases drawn from cellular, fixed-line, and Internet applications include evolution of spectrum policy and current proposals for reform; the migration to broadband and implications for universal service policies; and property rights associated with digital content. The course lays a foundation for thesis research in this domain.
http://mit-ocw-thai.eng.chula.ac.th/MIT_THAI/e27e34e28e27e01e23e23e21e44e1fe1fe49e32e41e25e30e04e2de21e1ee34e27e40e15e2de23e4c-electrical-engineering-and-computer-science/esd.68j-6.978j-e19e42e22e1ae32e22e02e49e2de21e39e25-e41e25e30-e01e32e23e2ae37e48e2de2ae32e23
Spring2006Clark, David D.Field, FrankGillett, Sharon E.Lehr, William2006-11-06T18:21:16+05:00ESD.68J6.978Jen-USnetworknetworkingtelecommunicationsdata networkinternetserviceswirelesspublic policyFCCregulationinformation servicetelecomdatacombroadbandbandwidthopen accessspectrumcopyrightRIAAIPintellectual propertyDRMprivacypiracylayered modelinterconnectioncompetitionVoIPIPTVnetwork neutralityISPtelcoESD.68JESD.686.978J6.978MIT 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.htm6.341 Discrete-Time Signal Processing (MIT)This class addresses the representation, analysis, and design of discrete time signals and systems. The major concepts covered include: Discrete-time processing of continuous-time signals; decimation, interpolation, and sampling rate conversion; flowgraph structures for DT systems; time-and frequency-domain design techniques for recursive (IIR) and non-recursive (FIR) filters; linear prediction; discrete Fourier transform, FFT algorithm; short-time Fourier analysis and filter banks; multirate techniques; Hilbert transforms; Cepstral analysis and various applications. Acknowledgements I would like to express my thanks to Thomas Baran, Myung Jin Choi, and Xiaomeng Shi for compiling the lecture notes on this site from my individual lectures and handouts and their class notes during the semesters that they were students in the course. These lecture notes, the text book and included problem sets and solutions will hopefully be helpful as you learn and explore the topic of Discrete-Time Signal Processing.
http://mit-ocw-thai.eng.chula.ac.th/MIT_THAI/e27e34e28e27e01e23e23e21e44e1fe1fe49e32e41e25e30e04e2de21e1ee34e27e40e15e2de23e4c-electrical-engineering-and-computer-science/6.341-e01e32e23e1be23e30e21e27e25e2ae31e0de0de32e13e44e21e48e15e48e2de40e19e37e48e2de07e17e32e07e40e27e25e32-e24e14e39e43e1ae44e21e49e23e48e27e07-2005
Fall2005Oppenheim, Alan V.2006-11-06T15:58:36+05:006.341en-USdiscrete time signals and systemsdiscrete-time processing of continuous-time signalsdecimationinterpolationsampling rate conversionFlowgraph structurestime- and frequency-domain design techniques for recursive (IIR) and non-recursive (FIR) filterslinear predictionDiscrete Fourier transformFFT algorithmShort-time Fourier analysis and filter banksMultirate techniquesHilbert transformsCepstral 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/terms/index.htm16.75J Airline Management (MIT)
This course provides an overview of airline management decision processes with a focus on economic issues and their relationship to operations planning models and decision support tools. It emphasizes the application of economic models of demand, pricing, costs, and supply to airline markets and networks, and it examines industry practice and emerging methods for fleet planning, route network design, scheduling, pricing and revenue management.
http://mit-ocw-thai.eng.chula.ac.th/MIT_THAI/aeronautics-and-astronautics-e27e34e28e27e01e23e23e21e01e32e23e40e14e34e19e2de32e01e32e28e41e25e30e01e32e23e1ae34e19e2de27e01e32e28/16.75j-1.234j-e01e32e23e08e31e14e01e32e23e2ae32e22e01e32e23e1ae34e19-e24e14e39e43e1ae44e21e49e1ce25e34-2006
Spring2006Belobaba, Peter2006-10-31T20:31:01+05:0016.75J1.234Jen-USairline economicsdemand modelsmarket sharedifferential pricingrevenuesairline operating costslabor productivityaircraft productivitydemand stochasticityflight leg spill modelsunconstrained demandload and spill analysisairline schedule developmentpassenger choicedecision windowairline managementfleet assignment optimizationroute planningnetwork strategiesoperational constraintsscheduling constraintsrevenue managementoverbookingseat inventory control16.75J16.751.234J1.234MIT 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.htm20.010J Introduction to Bioengineering (BE.010J) (MIT)
Bioengineering at MIT is represented by the diverse curricula offered by most Departments in the School of Engineering. This course samples the wide variety of bioengineering options for students who plan to major in one of the undergraduate Engineering degree programs. The beginning lectures describe the science basis for bioengineering with particular emphasis on molecular cell biology and systems biology. Bioengineering faculty will then describe the bioengineering options in a particular engineering course as well as the type of research conducted by faculty in the department.
http://mit-ocw-thai.eng.chula.ac.th/MIT_THAI/e27e34e28e27e01e23e23e21e0ae35e27e20e32e1e-biological-engineering-1/e27e34e28e27e01e23e23e21e0ae35e27e20e32e1ee40e1ae37e49e2de07e15e49e19-introduction-to-bioengineering-be.010j-e24e14e39e43e1ae44e21e49e1ce25e34-2006
Spring2006Faculty, Biological Engineering2006-05-31T08:50:51+05:0020.010J2.790J6.025J7.38J10.010Jen-USbiological engineeringbioengineeringbiomemsbiomaterialsbiomechanical engineeringbiologyengineeringbioprocessingbiological materialsbiological engineersMIT 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.htm6.152J Micro/Nano Processing Technology (MIT)
This course introduces the theory and technology of micro/nano fabrication. Lectures and laboratory sessions focus on basic processing techniques such as diffusion, oxidation, photolithography, chemical vapor deposition, and more. Through team lab assignments, students are expected to gain an understanding of these processing techniques, and how they are applied in concert to device fabrication. Students enrolled in this course have a unique opportunity to fashion and test micro/nano-devices, using modern techniques and technology.
http://mit-ocw-thai.eng.chula.ac.th/MIT_THAI/e27e34e28e27e01e23e23e21e44e1fe1fe49e32e41e25e30e04e2de21e1ee34e27e40e15e2de23e4c-electrical-engineering-and-computer-science/6.152j-3.155j-e40e17e04e42e19e42e25e22e35e01e23e30e1ae27e19e01e32e23e17e32e07e44e21e42e04e23e2de34e40e25e47e01e17e23e2de19e34e01e2ae4c-e24e14e39e43e1ae44e21e49e23e48e27e07-2003-6.152j-3.155j-microelectronics-processing-technology-fall-2003
Fall2005Schmidt, MartinRuff, SusanOâ€™Handley, Robert2006-04-27T16:30:11+05:006.152J3.155Jen-USmicroelectronicsMicroelectronics processingintegrated circuitsvacuumchemical vapor depositionCVDoxidationdiffusionimplantationlithographysoft lithographyetchingsputteringevaporationinterconnectmetallizationcrystal growthreliabilityfabricationprocessingphotolithographyphysical vapor depositionMOSMOS capacitormicrocantilevermicrofluidic.MIT 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.htm6.013 Electromagnetics and Applications (MIT)This course explores electromagnetic phenomena 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, motors, and power generation and transmission. Fundamentals covered 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.Acknowledgments The instructors would like to thank Robert Haussman for transcribing into LaTeX the problem set and Quiz 2 solutions.
http://mit-ocw-thai.eng.chula.ac.th/MIT_THAI/e27e34e28e27e01e23e23e21e44e1fe1fe49e32e41e25e30e04e2de21e1ee34e27e40e15e2de23e4c-electrical-engineering-and-computer-science/6.013-e04e25e37e48e19e41e21e48e40e2be25e47e01e44e1fe1fe49e32e41e25e30e01e32e23e1be23e30e22e38e01e15e4c-e24e14e39e43e1ae44e21e49e1ce25e34-2002-6.013-electromagnetics-and-applications-fall-2002
Fall2005Staelin, DavidIppen, ErichZahn, Markus2006-04-24T15:23:59+05:006.013ESD.013Jen-US6.013ESD.013ESD.013Jelectromagneticsapplicationswireless communicationscircuitscomputer interconnectsperipheralsoptical fiber linksmicrowave communicationsradarantennassensorsmicro-electromechanical systemspower generationpower transmissionquasistatic solutionsdynamic solutionsMaxwellMaxwell's equationswavesradiationdiffractionguided wavesunguided wavesresonanceforcespowerenergyMIT 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.htm1.221J Transportation Systems (MIT)
Approaching transportation as a complex, large-scale, integrated, open system (CLIOS), this course strives to be an interdisciplinary systems subject in the "open" sense. It introduces qualitative modeling ideas and various techniques and philosophies of modeling complex transportation enterprises. It also introduces conceptual frameworks for qualitative analysis, such as frameworks for regional strategic planning, institutional change analysis, and new technology development and deployment. And it covers transportation as a large-scale, integrated system that interacts directly with the social, political, and economic aspects of contemporary society. Fundamental elements and issues shaping traveler and freight transportation systems are covered, along with underlying principles governing transportation planning, investment, operations, and maintenance.
http://mit-ocw-thai.eng.chula.ac.th/MIT_THAI/e27e34e28e27e01e23e23e21e42e22e18e32e41e25e30e2ae34e48e07e41e27e14e25e49e2de21-civil-and-environmental-engineering/1.221j-11.527j-esd.201j-e23e30e1ae1ae01e32e23e02e19e2ae48e07-e24e14e39e43e1ae44e21e49e23e48e27e07-2002
Fall2004Sussman, Joseph2005-10-24T00:23:32+05:001.221J11.527JESD.201Jen-UStransportation systemslarge-scale integrated systemspassenger transportation systemsfreight transportation systemstransportation planningtransportation investmenttransportation operationstransportation maintenancesystem performancelevel of service metricslevel of service determinantsdesign of transportation servicesintermodal transportation1.221J11.527JESD.201J1.22111.527ESD.2011.221J1.22111.527J11.527ESD.201JESD.201MIT 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.htm6.871 Knowledge-Based Applications Systems (MIT)This course covers the development of programs containing a significant amount of knowledge about their application domain. The course includes a brief review of relevant AI techniques; case studies from a number of application domains, chosen to illustrate principles of system development; a discussion of technical issues encountered in building a system, including selection of knowledge representation, knowledge acquisition, etc.; and a discussion of current and future research. The course also provides hands-on experience in building an expert system (term project).
http://mit-ocw-thai.eng.chula.ac.th/MIT_THAI/e27e34e28e27e01e23e23e21e44e1fe1fe49e32e41e25e30e04e2de21e1ee34e27e40e15e2de23e4c-electrical-engineering-and-computer-science/knowledge-1
Spring2005Davis, Randall2005-10-18T03:00:51+05:006.871en-USknowledgeartifical intelligenceartificial intelligence techniquesapplication domainssystem developmentbuilding systemknowledge representationknowledge acquisitionexpert systemartificial intelligenceMIT 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.htm1.361 Advanced Soil Mechanics (MIT)
This class presents the application of principles of soil mechanics. It considers the following topics: the origin and nature of soils; soil classification; the effective stress principle; hydraulic conductivity and seepage; stress-strain-strength behavior of cohesionless and cohesive soils and application to lateral earth stresses; bearing capacity and slope stability; consolidation theory and settlement analysis; and laboratory and field methods for evaluation of soil properties in design practice.
http://mit-ocw-thai.eng.chula.ac.th/MIT_THAI/e27e34e28e27e01e23e23e21e42e22e18e32e41e25e30e2ae34e48e07e41e27e14e25e49e2de21-civil-and-environmental-engineering/1.361-1.032-1.366-e1be10e1ee35e01e25e28e32e2ae15e23e4ce02e31e49e19e2ae39e07-e24e14e39e43e1ae44e21e49e23e48e27e07-2004-advanced-soil-mechanics-fall-2004
Fall2004Ladd, CharlesJen, Lucy C.2005-04-21T20:35:36+05:001.3611.0321.366en-USsoilorigin and nature of soilssoil classificationeffective stress principlehydraulic conductivity and seepagestress-strain-strength behavior of cohesionless and cohesive soils and application to lateral earth stressesbearing capacity and slope stabilityconsolidation theorysettlement analyseslaboratory methodssoil propertiesdesign practice1.3611.0321.366MIT 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.htm1.054 Mechanics and Design of Concrete Structures (MIT)The main objective of 1.054/1.541 is to provide students with a rational basis of the design of reinforced concrete members and structures through advanced understanding of material and structural behavior. This course is offered to undergraduate (1.054) and graduate students (1.541). Topics covered include: Strength and Deformation of Concrete under Various States of Stress; Failure Criteria; Concrete Plasticity; Fracture Mechanics Concepts; Fundamental Behavior of Reinforced Concrete Structural Systems and their Members; Basis for Design and Code Constraints; High-performance Concrete Materials and their use in Innovative Design Solutions; Slabs: Yield Line Theory; Behavior Models and Nonlinear Analysis; and Complex Systems: Bridge Structures, Concrete Shells, and Containments. Professor Oral Buyukozturk thanks Tzu-Yang Yu, a graduate student at MIT, for his valuable assistance in preparing course documents.
http://mit-ocw-thai.eng.chula.ac.th/MIT_THAI/e27e34e28e27e01e23e23e21e42e22e18e32e41e25e30e2ae34e48e07e41e27e14e25e49e2de21-civil-and-environmental-engineering/1.054-1.541-e01e25e28e32e2ae15e23e4ce41e25e30e01e32e23e2de2de01e41e1ae1ae42e04e23e07e2ae23e49e32e07e04e2de19e01e23e35e15-e24e14e39e43e1ae44e21e49e1ce25e34-2004-mechanics-and-design-of-concrete-structures-spring-2004
Spring2004Buyukozturk, Oral2004-09-14T15:14:14+05:001.0541.541en-USconcrete structuresmechanicsdesignstrengthdeformationstressstrainfailure criteriaconcrete plasticityfracture mechanicsreinforced concretecode constraintshigh-performance materialsslabsyield line theorybehavior modelsnonlinear analysisbridge structuresconcrete shellscontainments1.0541.541MIT 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