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  • ESD 166J: Sustainable Energy

    3.00 Credits
    Massachusetts Institute of Technology

    Assessment of current and potential future energy systems. Covers resources, extraction, conversion, and end-use technologies, with emphasis on meeting 21st-century regional and global energy needs in a sustainable manner. Examines various energy technologies in each fuel cycle stage for fossil (oil, gas, synthetic), nuclear (fission and fusion) and renewable (solar, biomass, wind, hydro, and geothermal) energy types, along with storage, transmission, and conservation issues. Emphasizes analysis of energy propositions within an engineering, economic and social context. Students taking graduate version complete additional assignments. Prerequisite:    Prereq: Permission of instructor
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  • ESD 172J: X PRIZE Workshop: Grand Challenges in Energy

    3.00 Credits
    Massachusetts Institute of Technology

    Uses a project-based approach to examine the intersection of incentives and innovation, drawing on economic models, historic examples, and analytic tools to help develop new prize concepts that can generate revolutionary progress in the energy field. Limited to 30 graduate students by application; select upperclassmen with permission of instructor. Prerequisite:    Prereq: Permission of instructor
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  • ESD 173J: X PRIZE Workshop: Grand Challenges in Health Care

    3.00 Credits
    Massachusetts Institute of Technology

    Uses a project-based approach to examine the intersection of incentives and innovation, drawing on economic models, historic examples, and analytic tools to help develop new prize concepts that can generate revolutionary progress in the area of health and medicine. Limited to 30 graduate students by application; select upperclassmen with permission of instructor. Prerequisite:    Prereq: Permission of instructor
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  • ESD 191J: Urban and Regional Economics

    3.00 Credits
    Massachusetts Institute of Technology

    Focuses on the theory of urban land and housing markets, and the spatial development of cities. Examines the roles played by transportation systems and local governments in shaping urban location patterns. Discusses interregional competition, economic development, and the migration of labor and capital. Students taking the graduate version complete additional assignments. Prerequisite:    Prereq: 14.04, 14.32
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  • ESD 192J: Analyzing and Accounting for Regional Economic Change

    3.00 Credits
    Massachusetts Institute of Technology

    Surveys theories of regional growth, factor mobility, clustering, industrial restructuring, learning regions, and global supply chains from a political-economy perspective. Examines/critiques multipliers, linkages, and supply chains used to assess employment and environmental impacts, energy and infrastructure investments, and accounting issues related to the underground economy, work in the home, and environmental degradation. Assesses price indices, industrial location and employment measures, and shift-share analyses. Discussions of US and foreign applications. Prerequisite:    Prereq: 14.03, 14.04
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  • ESD 193J: Regional Socioeconomic Impact Analyses and Modeling

    2.00 Credits
    Massachusetts Institute of Technology

    Reviews regional economic theories and models and provides students with experience in using alternative economic impact assessment models on microcomputers. Problem sets are oriented around infrastructure, housing, energy, and environmental issues. Students work with a client generally in Boston and make a presentation to the client. Emphasis on written and oral presentation skills. Prerequisite:    Prereq: 11.481J or permission of instructor
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  • ESD 210J: Transportation Systems Analysis: Demand and Economics

    3.00 Credits
    Massachusetts Institute of Technology

    Introduces transportation systems analysis, stressing demand and economic aspects. Covers the key principles governing transportation planning, investment, operations, and maintenance. Introduces the microeconomic concepts central to transportation systems. Topics include economic theories of the firm, consumer, and market, demand models, discrete choice analysis, cost models and production functions, and pricing theory. Applications to transportation systems include congestion pricing, technological change, resource allocation, market structure and regulation, revenue forecasting, public and private transportation finance, and project evaluation; covering urban passenger transportation, freight, aviation and intelligent transportation systems. Prerequisite:    Prereq: Permission of instructor
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  • ESD 212J: Demand Modeling

    3.00 Credits
    Massachusetts Institute of Technology

    Theory and application of modeling and statistical methods for analysis and forecasting of demand for facilities, services, and products. Topics include: review of probability and statistics, estimation and testing of linear regression models, theory of individual choice behavior, derivation, estimation, and testing of discrete choice models (including logit, nested logit, GEV, probit, and mixture models), estimation under various sample designs and data collection methods (including revealed and stated preferences), sampling, aggregate forecasting methods, and iterative proportional fitting and related methods. Lectures reinforced with case studies, which require specification, estimation, testing, and analysis of models using data sets from actual applications. Prerequisite:    Prereq: 1.201 or permission of instructor
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  • ESD 213J: Advanced Demand Modeling

    3.00 Credits
    Massachusetts Institute of Technology

    Advanced theories and applications of models for analysis and forecasting of users' behavior and demand for facilities, services, and products. Topics vary each year and typically include linear and nonlinear latent variable models, including structural equations and latent class models; estimation techniques with multiple data sources; joint discrete and continuous choice models; dynamic models; analysis of panel data; analysis of complex choices; estimation and forecasting with large choice sets; multidimensional probabilistic choice models; advanced choice models, including probit, logit mixtures, treatment of endogeneity, hybrid choice models, hidden Markov models, Monte Carlo simulation, Bayesian methods, survey design, sampling, model transferability, and use of stated preferences data. Term paper required Prerequisite:    Prereq: 1.202 or permission of instructor
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  • ESD 216J: Logistical and Transportation Planning Methods

    3.00 Credits
    Massachusetts Institute of Technology

    Quantitative techniques of operations research with emphasis on applications in transportation systems analysis (urban, air, ocean, highway, and pickup and delivery systems) and in the planning and design of logistically oriented urban service systems (e.g., fire and police departments, emergency medical services, and emergency repair services). Unified study of functions of random variables, geometrical probability, multi-server queuing theory, spatial location theory, network analysis and graph theory, and relevant methods of simulation. Computer exercises and discussions of implementation difficulties. Prerequisite:    Prereq: 6.041
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