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Course Criteria
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0.00 - 6.00 Credits
Individual advanced study of a topic in logistics systems selected with the approval of the instructor.
Prerequisite:
Prereq: Permission of instructor
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1.00 Credits
Seminar examines what technology policy is in practice. Considers the question of "Who achieves what, when, how, and why?" regarding technology policy. Students who completed summer internships present and dissect their experiences with special reference to specific cases in which they participated.
Prerequisite:
Prereq: ESD.10
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4.00 Credits
Examines core theory and contextual applications of the emerging field of Engineering Systems. 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 range from aerospace to technology implementation to regulatory systems to large-scale systems change. Special attention given to the interdependence of social and technical dimensions of engineering systems. Restricted to students enrolled in doctoral programs.
Prerequisite:
Prereq: ESD.10 or permission of instructor
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3.00 Credits
Covers advanced methods for modeling risk and decision-making under uncertainty. Topics include Monte Carlo methods, Markov chain Monte Carlo, dynamic and stochastic optimization, and advanced topics in simulation. Applications drawn primarily from energy and environmental systems modeling.
Prerequisite:
Prereq: ESD.86 or permission of instructor
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3.00 Credits
Covers important concepts and techniques in designing and operating safety-critical systems. Topics include the nature of risk, formal accident and human error models, causes of accidents, fundamental concepts of system safety engineering, system and software hazard analysis, designing for safety, fault tolerance, safety issues in the design of human-machine interaction, verification of safety, creating a safety culture, and management of safety-critical projects. Includes a class project involving the high-level system design and analysis of a safety-critical system.
Prerequisite:
Prereq: Permission of instructor
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3.00 Credits
Explores how scientific information and quantitative models can be used to inform policy decision-making. Develops an understanding of quantitative modeling techniques and their role in the policy process through case studies and interactive activities. 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 focus on models and information used in Earth system governance.
Prerequisite:
Prereq: ESD.10 or permission of instructor
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3.00 Credits
Examines advanced topics in the modeling and analysis of environmental and energy systems. Topics vary, but may include alternative design of environmental markets, modeling of electric power systems, analysis of alternative fuels, and coupling of environmental and energy systems. Previous coursework in microeconomics required.
Prerequisite:
Prereq: 15.011, 14.003, or permission of instructor
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3.00 Credits
Use data and systems knowledge to build models of complex socio-technical systems for improved system design and decision-making. Enhance model-building skills, including: 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. Review classical statistics, hypothesis tests, regression, correlation and causation, simple data mining techniques, and Bayesian vs. classical statistics. Class project.
Prerequisite:
Prereq: ESD.83, 6.041, or permission of instructor
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3.00 Credits
Introduction to social science approaches to developing questions, designing research, and collecting data about complex systems. Overview of the different social science paradigms for developing research questions, as well as issues of measurement and research design. Covers various modes of data collection with emphasis on how the different elements of research design contribute to more powerful and persuasive results. Students develop skills in designing and completing social science-based research, as well as in critically assessing related work. Limited to 15.
Prerequisite:
Prereq: ESD.83, ESD.86; or permission of instructor
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3.00 Credits
Introduces mechanical and economic models of assemblies and assembly automation on two levels. Assembly in the small comprises basic engineering models of rigid and compliant part mating and explains the operation of the Remote Center Compliance. Assembly in the large takes a system view of assembly, including the notion of product architecture, feature-based design and computer models of assemblies, analysis of mechanical constraint, assembly sequence analysis, tolerances, system-level design for assembly and JIT methods, and economics of assembly automation. Case studies and current research included. Class exercises and homework include analyses of real assemblies, the mechanics of part mating, and a semester long project.
Prerequisite:
Prereq: 2.008
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