All courses in Institute for Data, Systems, and Society from MIT OpenCourseWare, provider of free and open MIT course materials. https://ocw.mit.edu/courses/institute-for-data-systems-and-society 2021-06-16T19:40:02+05:00 MIT OpenCourseWare https://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 https://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. https://ocw.mit.edu/courses/institute-for-data-systems-and-society/ids-720j-tools-for-analysis-design-for-real-estate-and-infrastructure-development-spring-2010 Spring 2010 de Neufville, Richard Geltner, David 2017-10-26T20:11:12+05:00 IDS.720J 11.434 15.428 ESD.712 IDS.720J en-US real estate infrastructure analysis design structure matrix Monte Carlo simulation certainty equivalence valuation MIT OpenCourseWare https://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 https://ocw.mit.edu/terms/index.htm Students work in a seminar environment to enhance their leadership capabilities. An initial Leadership Laboratory Outward Bound experience builds trust, teamwork and communications. Readings and assignments emphasize the characteristics of effective leadership. Distinguished leaders participate in the "Leadership Lunch" story-telling series to share their experiences and to provide recommendations. Discussions help explore and further probe leadership development. The learning experience culminates in a personal leadership plan. https://ocw.mit.edu/courses/institute-for-data-systems-and-society/ids-910-leadership-development-fall-2014 Fall 2014 Newman, Dava 2017-10-26T20:10:38+05:00 IDS.910 ESD.801 IDS.910 en-US leadership science policy technology policy personal development science education communication visioning organizational management elevator speech DISC personal assessment behavior assessment MIT OpenCourseWare https://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 https://ocw.mit.edu/terms/index.htm This team-taught subject is for doctoral students working on emerging technologies at the interface of technology, policy and societal issues. It integrates concepts of research strategy and design from a variety of disciplines. The class addresses problem identification and formulation of research topics, the role of qualitative and quantitative research methods, and the use of various data collection techniques. Coursework focuses on students' thesis proposals, faculty-student study panels, critical evaluation of research design, and ethical issues in conducting research and gathering data. https://ocw.mit.edu/courses/institute-for-data-systems-and-society/ids-900-integrating-doctoral-seminar-on-emerging-technologies-fall-2005 Fall 2005 Hastings, Daniel Black, Jason McCray, Lawrence 2017-10-26T20:10:00+05:00 IDS.900 17.312J STS.461J ESD.85J IDS.900 en-US ESD.85J ESD.85 17.312J 17.312 STS.461J STS.461 uncertainty risk politics forecasting future prediction politics disaster space shuttle nuclear power nuclear energy energy policy government technology assessment OTA GPS internet packet switching data network military DEC Digital Equipment drug pharmaceutical air transport aircraft public policy industrial policy UAV decision MIT OpenCourseWare https://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 https://ocw.mit.edu/terms/index.htm IDS.900 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. https://ocw.mit.edu/courses/institute-for-data-systems-and-society/ids-900-doctoral-seminar-in-engineering-systems-fall-2011 Fall 2011 Magee, Christopher L. Sussman, Joseph Saari, Rebecca 2017-10-26T20:09:21+05:00 IDS.900 ESD.83 IDS.900 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 https://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 https://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. https://ocw.mit.edu/courses/institute-for-data-systems-and-society/ids-505j-engineering-economics-and-regulation-of-the-electric-power-sector-spring-2010 Spring 2010 Perez-Arriaga, Ignacio 2017-10-26T20:08:39+05:00 IDS.505J 6.695 15.032J ESD.162 6.974 ESD.934 IDS.505J 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 https://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 https://ocw.mit.edu/terms/index.htm IDS.410J 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. https://ocw.mit.edu/courses/institute-for-data-systems-and-society/ids-410j-modeling-and-assessment-for-policy-spring-2013 Spring 2013 Selin, Noelle 2017-10-26T20:07:48+05:00 IDS.410J 12.844J ESD.864 IDS.410J en-US policy modeling NASA economics memo oil spill clean air sports statistics breast cancer scientific assessment process integrated assessment modeling model frameworks systems modeling policy-analysis techniques science policy risk assessment adaptive management MIT OpenCourseWare https://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 https://ocw.mit.edu/terms/index.htm Students work in a team environment to develop five core leadership capabilities: Visioning, Analyzing, Relating, Inventing and Enabling. In addition, students participate in a negotiation simulation, improve communication skills and learn about cross-cultural negotiation. A structured set of outdoor experiences complements classroom activities. Restricted to entering students in the Technology and Policy Program. https://ocw.mit.edu/courses/institute-for-data-systems-and-society/ids-910-leadership-development-fall-2002 Fall 2002 Cutcher-Gershenfeld, Joel 2017-10-26T20:07:00+05:00 IDS.910 ESD.801 IDS.910 en-US group dynamics, leadership, negotiation, bargaining, communication, visioning, relating, enabling, cross-cultural negotiation MIT OpenCourseWare https://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 https://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. https://ocw.mit.edu/courses/institute-for-data-systems-and-society/ids-338j-multidisciplinary-system-design-optimization-spring-2010 Spring 2010 de Weck, Olivier Willcox, Karen 2017-10-26T19:59:32+05:00 IDS.338J 16.888 ESD.77 IDS.338J 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 https://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 https://ocw.mit.edu/terms/index.htm