New courses in Engineering Systems Division from MIT OpenCourseWare, provider of free and open MIT course materials. http://ocw.mit.edu/courses/engineering-systems-division 2013-06-14T17:40:21+05:00 MIT OpenCourseWare http://ocw.mit.edu en-US Content 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 ESD.83 Doctoral Seminar in Engineering Systems examines the core theory and contextual applications of the emerging field of Engineering Systems. There is a focus on doctoral–level analysis of scholarship on key concepts such as complexity, uncertainty, fragility, and robustness, as well as a critical look at the historical roots of the field and related areas such as systems engineering, systems dynamics, agent modeling, and systems simulations. Contextual applications of the course range from aerospace to technology implementation to regulatory systems to large–scale systems change. Special attention is given to the interdependence of social and technical dimensions of engineering systems. http://www.pheedcontent.com/click.phdo?i=c2341c51d64acb9bec99e69a0433d0a2 http://ocw.mit.edu/courses/engineering-systems-division/esd-83-doctoral-seminar-in-engineering-systems-fall-2011 Magee, Christopher L. Sussman, Joseph Saari, Rebecca 2012-07-20T10:34:13+05:00 ESD.83 en-US engineering systems complexity uncertainty fragility robustness systems engineering systems dynamics agent modeling systems simulations large-scale systems change modeling paradigms cumulative knowledge empirical data generation boundary setting network models policy evaluation MIT OpenCourseWare http://ocw.mit.edu Content 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 Students in ESD.00 work on projects to address large, complex and seemingly intractable real-world problems, such as energy supply, environmental issues, health care delivery, and critical infrastructure (e.g., telecommunications, water supply, and transportation). The course introduces interdisciplinary approaches - rooted in engineering, management, and the social sciences - to considering these critical contemporary issues. Small, faculty-led teams select an engineering systems term project to illustrate one or more of these approaches. http://www.pheedcontent.com/click.phdo?i=c606f86052833d1461a13a775cd7f977 http://ocw.mit.edu/courses/engineering-systems-division/esd-00-introduction-to-engineering-systems-spring-2011 Sussman, Joseph Siddiqi, Afreen Clewlow, Regina 2012-01-03T16:29:22+05:00 ESD.00 en-US systems engineering system dynamics complex sociotechnical systems uncertainty networks MIT OpenCourseWare http://ocw.mit.edu Content 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 ESD.864 Modeling and Assessment for Policy explores how scientific information and quantitative models can be used to inform policy decision-making. Students will develop an understanding of quantitative modeling techniques and their role in the policy process through case studies and interactive activities. The course addresses issues such as analysis of scientific assessment processes, uses of integrated assessment models, public perception of quantitative information, methods for dealing with uncertainties, and design choices in building policy-relevant models. Examples used in this class focus on models and information used in earth system governance. http://www.pheedcontent.com/click.phdo?i=5c4a9a27c0b2033b1e060289bf8f09ea http://ocw.mit.edu/courses/engineering-systems-division/esd-864-modeling-and-assessment-for-policy-spring-2011 Selin, Noelle 2012-01-03T16:27:44+05:00 ESD.864 en-US scientific assessment process integrated assessment modeling model frameworks systems modeling policy-analysis techniques science policy risk assessment adaptive management MIT OpenCourseWare http://ocw.mit.edu Content 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 Students in ESD.801 Leadership Development work in a seminar environment to develop leadership capabilities. Readings, assignments and class discussion explore the topics covered in this class. In addition, students participate in an Outward Bound experience and participate in "leadership lunches" with global leaders. http://www.pheedcontent.com/click.phdo?i=e8ac7ec1e039685adf0a68df31e5f74f http://ocw.mit.edu/courses/engineering-systems-division/esd-801-leadership-development-fall-2010 Newman, Dava 2011-07-22T17:31:25+05:00 ESD.801 en-US leadership outward bound art communication teamwork science policy science education personal development MIT OpenCourseWare http://ocw.mit.edu Content 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 This course provides a deep understanding of engineering systems at a level intended for research on complex engineering systems. It provides a review and extension of what is known about system architecture and complexity from a theoretical point of view while examining the origins of and recent developments in the field. The class considers how and where the theory has been applied, and uses key analytical methods proposed. Students examine the level of observational (qualitative and quantitative) understanding necessary for successful use of the theoretical framework for a specific engineering system. Case studies apply the theory and principles to engineering systems. http://www.pheedcontent.com/click.phdo?i=a8dbe6f57654224bb0b0b87c90fa58ed http://ocw.mit.edu/courses/engineering-systems-division/esd-342-network-representations-of-complex-engineering-systems-spring-2010 Magee, Christopher L. Whitney, Daniel E. Moses, Joel 2011-05-31T15:45:14+05:00 ESD.342 en-US enterprise architecture complex networks quantitative metrics affiliation networks decomposition methods percolation theory MIT OpenCourseWare http://ocw.mit.edu Content 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 This seminar applies a systems perspective to understand health care delivery today, its stakeholders and problems as well as opportunities. Students are introduced to the 'systems perspective' that has been used successfully in other industries, and will address the introduction of new processes, technologies and strategies to improve overall health outcomes. Students are assigned to teams to work on a semester‐long group project, in collaboration with staff of a nearby Boston hospital. http://www.pheedcontent.com/click.phdo?i=3334d651df5c9c4a5e88846c5b2b0f2b http://ocw.mit.edu/courses/engineering-systems-division/esd-69-seminar-on-health-care-systems-innovation-fall-2010 Finkelstein, Stan Coughlin, Joseph Moses, Joel 2011-04-11T10:02:23+05:00 ESD.69 HST.926J en-US health systems quality improvement safety health care delivery payment by results health care and information technology process change uncertainty in clinical decision variation in clinical decision performance measures in health care MIT OpenCourseWare http://ocw.mit.edu Content 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 Systems Engineering is an interdisciplinary approach and means to enable the realization of successful systems. It focuses on defining customer needs and required functionality early in the development cycle, documenting requirements, then proceeding with design synthesis and system validation while considering the complete problem including operations, performance, test, manufacturing, cost, and schedule. This subject emphasizes the links of systems engineering to fundamentals of decision theory, statistics, and optimization. It also introduces the most current, commercially successful techniques for systems engineering. http://www.pheedcontent.com/click.phdo?i=782b537210f11235c548ac345a207786 http://ocw.mit.edu/courses/engineering-systems-division/esd-33-systems-engineering-summer-2010 Van Eikema Hommes, Qi Hale, Pat Erickson, David 2011-02-07T10:31:56+05:00 ESD.33 en-US systems engineering innovation critical parameter development robust design requirements engineering design structure matrix modeling and simulation quality function deployment MIT OpenCourseWare http://ocw.mit.edu Content 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 The course presents an in-depth interdisciplinary perspective of electric power systems, with regulation providing the link among the engineering, economic, legal and environmental viewpoints. Generation dispatch, demand response, optimal network flows, risk allocation, reliability of service, renewable energy sources, ancillary services, tariff design, distributed generation, rural electrification, environmental impacts and strategic sustainability issues will be among the topics addressed under both traditional and competitive regulatory frameworks. http://www.pheedcontent.com/click.phdo?i=99dafc5a41a41615b7ed603a0c684d39 http://ocw.mit.edu/courses/engineering-systems-division/esd-934-engineering-economics-and-regulation-of-the-electric-power-sector-spring-2010 Perez-Arriaga, Ignacio 2011-01-11T12:46:38+05:00 ESD.934 6.695 15.032J ESD.162 6.974 en-US electricity generation power system operation electric power transmission regulation electricity tariffs renewable energy sources universal access to electricity energy retail markets CO2 markets MIT OpenCourseWare http://ocw.mit.edu Content 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 There is need for a rigorous, quantitative multidisciplinary design methodology that works with the non-quantitative and creative side of the design process in engineering systems. The goal of multidisciplinary systems design optimization is to create advanced and complex engineering systems that must be competitive not only in terms of performance, but also in terms of life-cycle value. The objective of the course is to present tools and methodologies for performing system optimization in a multidisciplinary design context. Focus will be equally strong on all three aspects of the problem: (i) the multidisciplinary character of engineering systems, (ii) design of these complex systems, and (iii) tools for optimization. http://www.pheedcontent.com/click.phdo?i=446b9ec876737b5152bc505d5004f527 http://ocw.mit.edu/courses/engineering-systems-division/esd-77-multidisciplinary-system-design-optimization-spring-2010 de Weck, Olivier Willcox, Karen 2010-12-17T14:46:05+05:00 ESD.77 16.888 en-US systems engineering optimization product design multidisciplinary design optimization subsystem identification heuristic search methods genetic algorithms simulated annealing Pareto optimality design for value MIT OpenCourseWare http://ocw.mit.edu Content 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 This course is an introduction to the analytical tools that support design and decision-making in real estate and infrastructure development. There is a particular focus on identifying and valuing sources of flexibility using “real options”, Monte-Carlo simulation, and other techniques from the field of engineering systems. This course integrates economic and engineering perspectives, and is suitable for students with various backgrounds. It serves to provide useful preparation for thesis work in the area. The course applies the approach to the design and phasing of a mega infrastructure real estate project. Note This MIT OpenCourseWare site is based, in part, on materials on Design for Real Estate and Infrastructure Development from Professor de Neufville's and Professor Geltner's Web site. http://www.pheedcontent.com/click.phdo?i=9a355ac9e4c3df81e623b3015d7a1ad7 http://ocw.mit.edu/courses/engineering-systems-division/esd-712-tools-for-analysis-design-for-real-estate-and-infrastructure-development-spring-2010 de Neufville, Richard Geltner, David 2010-12-13T17:30:11+05:00 ESD.712 11.434 15.428 en-US real estate infrastructure analysis design structure matrix Monte Carlo simulation certainty equivalence valuation MIT OpenCourseWare http://ocw.mit.edu Content 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 This course surveys operations research models and techniques developed for a variety of problems arising in logistical planning of multi-echelon systems. There is a focus on planning models for production/inventory/distribution strategies in general multi-echelon multi-item systems. Topics include vehicle routing problems, dynamic lot sizing inventory models, stochastic and deterministic multi-echelon inventory systems, the bullwhip effect, pricing models, and integration problems arising in supply chain management. Probability and linear programming experience required. http://www.pheedcontent.com/click.phdo?i=bc21747fc806c3f15605b57d208d18d2 http://ocw.mit.edu/courses/engineering-systems-division/esd-273j-logistics-and-supply-chain-management-fall-2009 Simchi-Levi, David 2010-12-13T17:30:36+05:00 ESD.273J 1.270J en-US vehicle routing problems dynamic lot sizing inventory models stochastic and deterministic multi-echelon inventory systems the bullwhip effect pricing models integration problems MIT OpenCourseWare http://ocw.mit.edu Content 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 In 2004, the Ansari X PRIZE for suborbital spaceflight captured the public's imagination and revolutionized an industry, leveraging a $10M prize purse into over $100M in innovation. Building from that success, the X PRIZE Foundation is now developing new prizes to focus innovation around "Grand Challenge" themes, including genomics, energy, healthcare, and education. This course will examine the intersection of incentives and innovation, drawing on economic models, historic examples, and recent experience of the X PRIZE Foundation to help develop a future prize in Energy Storage Technologies. http://www.pheedcontent.com/click.phdo?i=21fe85487e0e27b33c986241df635278 http://ocw.mit.edu/courses/engineering-systems-division/esd-172j-x-prize-workshop-grand-challenges-in-energy-fall-2009 Wagner, Erika 2010-06-10T15:28:56+05:00 ESD.172J SP.793J EC.421J en-US energy competition innovation incentivize prizes resource allocation innovation incentives Ansari X PRIZE economic models of innovation energy storage grid-scale storage prize matrix genomics Archon X PRIZE Progressive Automotive X PRIZE grand challenges MIT OpenCourseWare http://ocw.mit.edu Content 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 This intensive micro-subject provides the necessary skills in Microsoft® Excel spreadsheet modeling for ESD.71 Engineering Systems Analysis for Design. Its purpose is to bring entering students up to speed on some of the advanced techniques that we routinely use in analysis. It is motivated by our experience that many students only have an introductory knowledge of Excel, and thus waste a lot of time thrashing about unproductively. Many people think they know Excel, but overlook many efficient tools, such as Data Table and Goal Seek. It is also useful for a variety of other subjects. http://www.pheedcontent.com/click.phdo?i=575126ea9d12984d3fae69db8bebdfc1 http://ocw.mit.edu/courses/engineering-systems-division/esd-70j-engineering-economy-module-fall-2009 Cardin, Michel-Alexandre de Neufville, Richard 2009-12-07T14:11:12+05:00 ESD.70J 1.145J en-US excel spreadsheet modeling dynamic modeling analysis data table goal seek sensitivity analysis simulation random number generator counting modeling uncertainties random variables statistical package flexibility contingency rules excel solver solver MIT OpenCourseWare http://ocw.mit.edu Content 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 Engineering systems design must have the flexibility to take advantage of new opportunities while avoiding disasters. This subject develops "real options" analysis to create design flexibility and measure its value so that it can be incorporated into system optimization. It builds on essential concepts of system models, decision analysis, and financial concepts. Emphasis is placed on calculating value of real options with special attention given to efficient analysis and practical applications. The material is organized and presented to deal with the contextual reality of technological systems, that substantially distinguishes the analysis of real options in engineering systems from that of financial options. Note This MIT OpenCourseWare site is based on the materials from Professor de Neufville's ESD.71 Web site. Additional materials, updated as needed by Professor de Neufville, can be found there. http://www.pheedcontent.com/click.phdo?i=869637c2350869f0b4cdf65fe6cac943 http://ocw.mit.edu/courses/engineering-systems-division/esd-71-engineering-systems-analysis-for-design-fall-2008 de Neufville, Richard 2008-12-23T03:41:44+05:00 ESD.71 1.146 3.56 16.861 en-US real options flexibility flexible design engineering systems complex projects evaluation over time risk uncertainty valuation timing uncertainty modeling flexibility valuation methods design analysis lattice analysis monte carlo simulation flexibility identification. MIT OpenCourseWare http://ocw.mit.edu Content 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 This course covers how to leverage major technology advances to significantly transform a business in the marketplace. There is a focus on major issues a business must deal with to transform its technical and market strategies successfully, including the organizational and cultural aspects that often cause such business transformations to fail. Class material draws from concrete experiences of IBM's major transformation in the late 1990s, when it aggressively embraced the Internet and came up with its e-business strategy. http://www.pheedcontent.com/click.phdo?i=4a7b923552e1cf6f4742dfaf563c0874 http://ocw.mit.edu/courses/engineering-systems-division/esd-57-technology-based-business-transformation-fall-2007 Wladawsky-Berger, Irving 2008-08-07T01:15:49+05:00 ESD.57 en-US innovation technology strategy business strategy end-user market leadership organization disruptive technology e-business e-commerce IBM 1990s innovator's dilemna competitiveness outsourcing MIT OpenCourseWare http://ocw.mit.edu Content 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 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://www.pheedcontent.com/click.phdo?i=720c629ea4b87cfd6a7c46e7f81e3191 http://ocw.mit.edu/courses/engineering-systems-division/esd-04j-frameworks-and-models-in-engineering-systems-engineering-system-design-spring-2007 Sussman, Joseph 2008-05-15T13:22:11+05:00 ESD.04J 1.041J ESD.01J en-US frameworks and models in engineering systems quantitative models qualitative frameworks complex engineering systems analysis and design emergent behavior stochasticity non-linearities architectural system configuration MIT OpenCourseWare http://ocw.mit.edu Content 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 This course covers principles and methods for technical System Architecture. It presents a synthetic view including: the resolution of ambiguity to identify system goals and boundaries; the creative process of mapping form to function; and the analysis of complexity and methods of decomposition and re-integration. Industrial speakers and faculty present examples from various industries. Heuristic and formal methods are presented. Restricted to SDM (System Design and Management) students. http://www.pheedcontent.com/click.phdo?i=d220c36642d52621dcc2ac54ba2d5c04 http://ocw.mit.edu/courses/engineering-systems-division/esd-34-system-architecture-january-iap-2007 Crawley, Edward 2007-10-31T00:46:26+05:00 ESD.34 en-US systems Product Development Process (PDP) architect tradeoff function use case scenario creativity complexity interface form feature requirements design optimization risk MIT OpenCourseWare http://ocw.mit.edu Content 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 ERBA (ESD.72) emphasizes three methodologies - reliability and probabilistic risk assessment (RPRA), decision analysis (DA), and cost-benefit analysis (CBA). In this class, the issues of interest are: the risks associated with large engineering projects such as nuclear power reactors, the International Space Station, and critical infrastructures; the development of new products; the design of processes and operations with environmental externalities; and infrastructure renewal projects. http://www.pheedcontent.com/click.phdo?i=0128ab30ef765dbf289dc5824a457613 http://ocw.mit.edu/courses/engineering-systems-division/esd-72-engineering-risk-benefit-analysis-spring-2007 Apostolakis, George 2007-10-26T00:47:48+05:00 ESD.72 1.155 2.963 3.577 6.938 10.816 16.862 22.82 en-US risk analysis decision analysis uncertainty cost-benefit analysis remedial action alternative probability utility functions environmental remediation risk aversion multistage decision models axioms of rational behavior design decisions fault-tolerant design risk management MIT OpenCourseWare http://ocw.mit.edu Content 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 In this class, students use data and systems knowledge to build models of complex socio-technical systems for improved system design and decision-making. Students will enhance their model-building skills, through review and extension of functions of random variables, Poisson processes, and Markov processes; move from applied probability to statistics via Chi-squared t and f tests, derived as functions of random variables; and review classical statistics, hypothesis tests, regression, correlation and causation, simple data mining techniques, and Bayesian vs. classical statistics. A class project is required. http://www.pheedcontent.com/click.phdo?i=051190a3475a8a7cb6309a4868972cd3 http://ocw.mit.edu/courses/engineering-systems-division/esd-86-models-data-and-inference-for-socio-technical-systems-spring-2007 Frey, Daniel Larson, Richard C. 2007-10-05T02:18:31+05:00 ESD.86 en-US statistics statistical model modelling probability probabilistic model risk assessment system analysis system design systems engineering distributions poisson markov queuing theory congestion traffic regression hypothesis testing inference operations research Weibull analysis MIT OpenCourseWare http://ocw.mit.edu Content 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 This course examines quantitative techniques for life cycle analysis of the impacts of materials extraction, processing use, and recycling; and economic analysis of materials processing, products, and markets. Student teams undertake a major case study using the latest methods of analysis and computer-based models of materials process. http://www.pheedcontent.com/click.phdo?i=11e28914ee85c9688dd81a9122ac93de http://ocw.mit.edu/courses/engineering-systems-division/esd-123j-systems-perspectives-on-industrial-ecology-spring-2006 Field, Frank Gregory, Jeremy Kirchain, Randolph 2007-09-28T00:08:02+05:00 ESD.123J 1.814J 3.560J en-US Sustainability environment manufacturing life-cycle analysis life-cycle assessment LCA system design materials selection waste recycling environmentalism environmental policy industrial policy MIT OpenCourseWare http://ocw.mit.edu Content 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