New courses in Civil and Environmental Engineering http://ocw.mit.edu/OcwWeb/Civil-and-Environmental-Engineering/index.htm 2008-01-18 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/OcwWeb/web/terms/terms/index.htm 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 of automobile manufacturing using the latest methods of analysis and computer-based models of materials process. http://ocw.mit.edu/OcwWeb/Engineering-Systems-Division/ESD-123JSpring-2006/CourseHome/index.htm Kirchain, Randolph Gregory, Jeremy Field, Frank 2007-09-28T12:08:02-04:00 ESD.123J 3.560J 1.814J en-US Civil and Environmental Engineering Conservation Biology industrial policy environmental policy environmentalism recycling waste materials selection system design LCA life-cycle assessment life-cycle analysis manufacturing environment Sustainability Materials Science and Engineering Engineering Systems Division MIT Open Course Ware 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/OcwWeb/web/terms/terms/index.htm See description under subject 1.260J. From the course home page: Course Description This subject is a survey of the fundamental analytic tools, approaches, and techniques which are useful in the design and operation of logistics systems and integrated supply chains. The material is taught from a managerial perspective, with an emphasis on where and how specific tools can be used to improve the overall performance and reduce the total cost of a supply chain. We place a strong emphasis on the development and use of fundamental models to illustrate the underlying concepts involved in both intra and inter-company logistics operations. While our main objective is to develop and use models to help us analyze these situations, we will make heavy use of examples from industry to provide illustrations of the concepts in practice. This is neither a purely theoretical nor a case study course, but rather an analytical course that addresses real problems found in practice. http://ocw.mit.edu/OcwWeb/Engineering-Systems-Division/ESD-260JFall-2006/CourseHome/index.htm Caplice, Christopher Sheffi, Yossi 2007-09-28T12:06:31-04:00 ESD.260J 15.770J 1.260J en-US Civil and Environmental Engineering Logistics and Materials Management dual sourcing portfolio management postponement flexible contracting reverse logistics transportation planning inventory procurement demand planning supply chain management logistics systems Sloan School of Management Engineering Systems Division MIT Open Course Ware 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/OcwWeb/web/terms/terms/index.htm This graduate-level course provides a unified treatment of nonlinear oscillations and wave phenomena with applications to mechanical, optical, geophysical, fluid, electrical and flow-structure interaction problems. A more detailed course outline is given in the syllabus section. http://ocw.mit.edu/OcwWeb/Mechanical-Engineering/2-034JSpring-2007/CourseHome/index.htm Akylas, Triantaphyllos 2007-09-19T03:46:26-04:00 2.034J 18.377J 1.685J en-US Civil and Environmental Engineering Mathematics, Other stability of shear flows solitons and solitary wave interactions the Korteweg-de Vries equation theory of characteristics nonlinear long waves and breaking nonlinear Schrodinger equation propagation of wave pulses resonant wave interactions nonlinear dispersive and nondispersive waves lock-in phenomena self-excited oscillations nonlinear resonances nonlinear free and forced vibrations flow-structure interaction problems wave phenomena nonlinear oscillations Mechanical Engineering Mathematics MIT Open Course Ware 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/OcwWeb/web/terms/terms/index.htm The objective of this course is to introduce large-scale atomistic modeling techniques and highlight its importance for solving problems in modern engineering sciences. We demonstrate how atomistic modeling can be used to understand how materials fail under extreme loading, involving unfolding of proteins and propagation of cracks. http://ocw.mit.edu/OcwWeb/Civil-and-Environmental-Engineering/1-978January--IAP--2007/CourseHome/index.htm Buehler, Markus 2007-08-07T01:42:16-04:00 1.978 en-US Civil and Environmental Engineering Engineering Science material mechanics nanomechanics copper nanocrystal biomaterials biomechanics Cauchy-Born rule simulations molecular dynamics ductile and brittle materials failure extreme loading atomistic modeling modern engineering sciences large-scale atomistic modeling techniques MIT Open Course Ware 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/OcwWeb/web/terms/terms/index.htm As technological integration and construction complexity increase, so does construction lead times. To stay competitive companies have sought to shorten the construction times of new infrastructure by managing construction development efforts effectively by using different project management tools. In this course, three important aspects of construction project management are taught: (1) the theory, methods and quantitative tools used to effectively plan, organize, and control construction projects; (2) efficient management methods revealed through practice and research; (3) hands-on, practical project management knowledge from on-site situations. To achieve this, we will use a basic project management framework in which the project life-cycle is broken into organizing, planning, monitoring, controlling and learning from old and current construction projects. Within the framework, you will learn the methodologies and tools necessary for each aspect of the process as well as the theories upon which these are built. By the end of the term you will be able to adapt and apply the framework to effectively manage a construction project in an Architecture/Engineering/Construction (A/E/C) organization. http://ocw.mit.edu/OcwWeb/Civil-and-Environmental-Engineering/1-040Spring-2007/CourseHome/index.htm Moavenzadeh, Fred Hyun Lee, Sang Labi, Samuel 2007-11-09T01:10:21-05:00 1.040 ESD.018J 1.401J en-US Civil and Environmental Engineering Construction Engineering contract mechanisms resource constraints software tools system dynamics project learning project monitoring and control project planning feasibility and organization project life cycle management methods quantitative tools project management Engineering Systems Division MIT Open Course Ware 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/OcwWeb/web/terms/terms/index.htm As technological integration and construction complexity increase, so does construction lead times. To stay competitive companies have sought to shorten the construction times of new infrastructure by managing construction development efforts effectively by using different project management tools. In this course, three important aspects of construction project management are taught: (1) the theory, methods and quantitative tools used to effectively plan, organize, and control construction projects; (2) efficient management methods revealed through practice and research; (3) hands-on, practical project management knowledge from on-site situations. To achieve this, we will use a basic project management framework in which the project life-cycle is broken into organizing, planning, monitoring, controlling and learning from old and current construction projects. Within the framework, you will learn the methodologies and tools necessary for each aspect of the process as well as the theories upon which these are built. By the end of the term you will be able to adapt and apply the framework to effectively manage a construction project in an Architecture/Engineering/Construction (A/E/C) organization. http://ocw.mit.edu/OcwWeb/Civil-and-Environmental-Engineering/1-040Spring-2007/CourseHome/index.htm Moavenzadeh, Fred Hyun Lee, Sang Labi, Samuel 2007-11-09T01:10:21-05:00 1.040 ESD.018J 1.401J en-US Civil and Environmental Engineering Construction Engineering contract mechanisms resource constraints software tools system dynamics project learning project monitoring and control project planning feasibility and organization project life cycle management methods quantitative tools project management Engineering Systems Division MIT Open Course Ware 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/OcwWeb/web/terms/terms/index.htm This course covers the use of ecological and thermodynamic principles to examine interactions between humans and the natural environment.. Topics include conservation and constitutive laws, box models, feedback, thermodynamic concepts, energy in natural and engineered systems, basic transport concepts, life cycle analysis and related economic methods. Topics such as renewable energy, sustainable agriculture, green buildings, and mitigation of climate change are illustrated with quantitative case studies. Case studies are team-oriented and may include numerical simulations and design exercises. Some programming experience is desirable but not a prerequisite. Instruction and practice in oral and written communication are provided. http://ocw.mit.edu/OcwWeb/Civil-and-Environmental-Engineering/1-020Spring-2007/CourseHome/index.htm McLaughlin, Dennis Marks, David Entekhabi, Dara 2007-11-07T11:29:43-05:00 1.020 en-US Civil and Environmental Engineering Energy, Environment, and Natural Resources Law (LL.M., M.S.,J.S.D./S.J.D.). climate modeling renewable energy transportation modeling green buildings mass and energy transport life cycle analysis multiobjective analysis natural resources economic value energy supply options mass and energy balances multiphase systems entropy enthalpy heat transfer thermodymanics perturbation methods mass conservation box models constitutive laws conservation laws systems MIT Open Course Ware 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/OcwWeb/web/terms/terms/index.htm An introduction to chemical oceanography. Reservoir models and residence time. Major ion composition of seawater. Inputs to and outputs from the ocean via rivers, the atmosphere, and the sea floor. Biogeochemical cycling within the oceanic water column and sediments, emphasizing the roles played by the formation, transport, and alteration of oceanic particles and the effects that these processes have on seawater composition. Cycles of carbon, nitrogen, phosphorus, oxygen, and sulfur. Uptake of anthropogenic carbon dioxide by the ocean. Material presented through lectures and student-led presentation and discussion of recent papers. http://ocw.mit.edu/OcwWeb/Urban-Studies-and-Planning/11-479JSpring-2007/CourseHome/index.htm Murcott, Susan 2007-11-07T01:00:08-05:00 11.479J 1.851J en-US Civil and Environmental Engineering Public Health Education and Promotion sediment chemistry carbon dioxide sulfur phosphorus nitrogen oxygen carbon ocean particle transport seawater composition ocean particles water column processes biogeochemical cycling chemical oceanography Urban Studies and Planning MIT Open Course Ware 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/OcwWeb/web/terms/terms/index.htm Fundamentals of characterizing and recognizing patterns and features of interest in numerical data. Basic tools and theory for signal understanding problems with applications to user modeling, affect recognition, speech recognition and understanding, computer vision, physiological analysis, and more. Decision theory, statistical classification, maximum likelihood and Bayesian estimation, non-parametric methods, unsupervised learning and clustering. Additional topics on machine and human learning from active research. http://ocw.mit.edu/OcwWeb/Media-Arts-and-Sciences/MAS-622JFall-2006/CourseHome/index.htm Picard, Rosalind Thomaz, Andrea Morgan, Bo 2007-10-05T02:20:22-04:00 MAS.622J 1.126J en-US Civil and Environmental Engineering Cognitive Psychology and Psycholinguistics genetic algorithms reinforcement learning decision trees Bayesian networks Kalman filtering linear dynamical systems Baum-Welch algorithm viterbi algorithm Hidden markov models Expectation-Maximization K-means vector quantization clustering unsupervised learning parzen estimation K-nearest-neighbor classification support vecotr machines optimization by gradient descent perceptron learning linear discriminant eigenvector and multilinear analysis feature extraction template-based recognition fisher discriminant likelihood ratio test ROC curves random vectors, decision theory bayes rule conditional probability pattern analysis probability theory classification feature detection pattern recognition Media Arts and Sciences MIT Open Course Ware 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/OcwWeb/web/terms/terms/index.htm Assessment of current and potential future energy systems, covering resources, extraction, conversion, and end-use, with emphasis on meeting regional and global energy needs in the 21st century in a sustainable manner. Different renewable and conventional energy technologies will be presented including biomass energy, fossil fuels, geothermal energy, nuclear power, wind power, solar energy, hydrogen fuel, and fusion energy and their attributes described within a framework that aids in evaluation and analysis of energy technology systems in the context of political, social, economic, and environmental goals. http://ocw.mit.edu/OcwWeb/Chemical-Engineering/10-391JJanuary--IAP--2007-Spring-2007/CourseHome/index.htm Tester, Jefferson Drake, Elisabeth Golay, Michael Incropera, Frank 2007-10-03T04:34:28-04:00 10.391J ESD.166J 22.811J 2.65J 11.371J 1.818J en-US Chemical Engineering Chemical Engineering environment economic social political analysis of energy technology systems fusion energy hydrogen fuel solar energy wind power nuclear power geothermal energy fossil fuels biomass energy renewable and conventional energy technologies sustainable manner 21st century regional and global energy needs and end-use conversion extraction resources Assessment of energy systems Urban Studies and Planning Nuclear Science and Engineering Mechanical Engineering Engineering Systems Division Civil and Environmental Engineering MIT Open Course Ware 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/OcwWeb/web/terms/terms/index.htm Engineering School-Wide Elective Subject. Description given at end of this chapter in SWE section. http://ocw.mit.edu/OcwWeb/Engineering-Systems-Division/ESD-72Spring-2007/CourseHome/index.htm Apostolakis, George 2007-10-26T12:47:48-04:00 ESD.72 6.938 3.577 22.82 2.963 16.862 10.816 1.155 en-US Aeronautics and Astronautics Engineering, General risk management fault-tolerant design design decisions axioms of rational behavior multistage decision models risk aversion environmental remediation utility functions probability remedial action alternative cost-benefit analysis uncertainty decision analysis risk analysis Nuclear Science and Engineering Mechanical Engineering Materials Science and Engineering Engineering Systems Division Electrical Engineering and Computer Science Civil and Environmental Engineering Chemical Engineering MIT Open Course Ware 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/OcwWeb/web/terms/terms/index.htm http://ocw.mit.edu/OcwWeb/Biological-Engineering/20-106JFall-2006/CourseHome/index.htm Schauer, David DeLong, Edward 2007-10-25T12:51:49-04:00 20.106J 1.084J en-US Biological Engineering Civil and Environmental Engineering MIT Open Course Ware 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/OcwWeb/web/terms/terms/index.htm This seminar-style class will focus on evaluating and recommending alternative commuter and business-related transportation policies for the MIT campus. Emphasis will be placed on reducing transportation-related energy usage in a sustainable manner in response to President Hockfield's "Walk the Talk" energy initiative. Students will explore the relative roles of MIT and the MBTA as transportation providers, as well as the efficiency and effectiveness of related subsidy policies currently in place for all modes of transportation. http://ocw.mit.edu/OcwWeb/Civil-and-Environmental-Engineering/1-963Spring-2007/CourseHome/index.htm Attanucci, John Salvucci, Frederick Brutti, Lawrence 2007-10-24T01:19:59-04:00 1.963 en-US Civil and Environmental Engineering Transportation/Transportation Management Transportation and Highway Engineering MIT campus leased parking parking lots garage underground parking Universal pass subsidy parking commuter rail subway bus MBTA shuttle sustainable transportation MIT Open Course Ware 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/OcwWeb/web/terms/terms/index.htm Introduction to the dynamics and vibrations of lumped-parameter models of mechanical systems. Kinematics. Force-momentum formulation for systems of particles and rigid bodies in planar motion. Work-energy concepts. Virtual displacements and virtual work. Lagrange's equations for systems of particles and rigid bodies in planar motion. Linearization of equations of motion. Linear stability analysis of mechanical systems. Free and forced vibration of linear multi-degree of freedom models of mechanical systems; matrix eigenvalue problems. Introduction to numerical methods and MATLAB® to solve dynamics and vibrations problems. http://ocw.mit.edu/OcwWeb/Mechanical-Engineering/2-003JSpring-2007/CourseHome/index.htm Peacock, Thomas Hadjiconstantinou, Nicolas G (Nicholas George) Sarma, Sanjay So, Peter 2007-10-02T04:59:51-04:00 2.003J 1.053J en-US Civil and Environmental Engineering Ocean Engineering MATLAB numerical methods matrix eigenvalue problems linear multi-degree of freedom models forced vibration Free vibration Linear stability analysis Linearization of equations of motion Lagrange's equations virtual work Virtual displacements Work-energy concepts rigid bodies in planar motion systems of particles Force-momentum formulation Kinematics mechanical systems dynamics and vibrations of lumped-parameter models Mechanical Engineering MIT Open Course Ware 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/OcwWeb/web/terms/terms/index.htm