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Doctoral Seminar in Engineering Systems, Fall 2011
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This Doctoral Seminar in Engineering Systems examines the core theory and contextual ... More

This 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. Less

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Subject:
Engineering
Material Type:
Full Course
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Provider:
M.I.T.
Provider Set:
MIT OpenCourseWare
Author:
Christopher L. Magee
Joseph Sussman
Rebecca Saari
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Foundations of Algorithms and Computational Techniques in Systems Biology, Spring 2006
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This subject describes and illustrates computational approaches to solving problems in systems ... More

This subject describes and illustrates computational approaches to solving problems in systems biology. A series of case-studies will be explored that demonstrate how an effective match between the statement of a biological problem and the selection of an appropriate algorithm or computational technique can lead to fundamental advances. The subject will cover several discrete and numerical algorithms used in simulation, feature extraction, and optimization for molecular, network, and systems models in biology. Less

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Subject:
Biology
Material Type:
Case Study
Full Course
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Lecture Notes
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Provider:
M.I.T.
Provider Set:
MIT OpenCourseWare
Author:
Tidor, Bruce
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Logistical and Transportation Planning Methods, Fall 2006
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Quantitative techniques of operations research with emphasis on applications in transportation systems ... More

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. Less

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Subject:
Management
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Assessments
Full Course
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Lecture Notes
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Provider:
M.I.T.
Provider Set:
MIT OpenCourseWare
Author:
Larson, Richard
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Network Optimization, Fall 2010
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This course is a graduate subject in the theory and practice of ... More

This course is a graduate subject in the theory and practice of network flows and its extensions. Network flow problems form a subclass of linear programming problems with applications to transportation, logistics, manufacturing, computer science, project management, and finance, as well as a number of other domains. This subject will survey some of the applications of network flows and focus on key special cases of network flow problems including the following: the shortest path problem, the maximum flow problem, the minimum cost flow problem, and the multi-commodity flow problem. We will also consider other extensions of network flow problems. Less

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Subject:
Computer Science
Material Type:
Activities and Labs
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Lecture Notes
Simulations
Syllabi
Provider:
M.I.T.
Provider Set:
MIT OpenCourseWare
Author:
Orlin, James
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.)310.1( tcejbus ngised enotspac eht dna )150.1 ,140.1 ,130.1( stcejbus ngised aera ... More

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