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dc.contributor.advisorStuart Madnick.en_US
dc.contributor.authorWirsch, Antonen_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.date.accessioned2017-03-10T15:06:24Z
dc.date.available2017-03-10T15:06:24Z
dc.date.copyright2014en_US
dc.date.issued2014en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/107346
dc.descriptionThesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, System Design and Management Program, 2014.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 70-71).en_US
dc.description.abstractData analytics is currently a topic that is popular in academia and in industry. This is one form of bottom-up analysis, where insights are gained by analyzing data. System dynamics is the opposite, a top-down methodology, by gaining insight by analyzing the big picture. The merging of the two methodologies can possibly provide greater insight. What greater insight that can be gained is research that will be required in the future. The focus of this paper will be on the software connections for such a framework and how it can be automated. An analysis of the individual parts of the combined framework will be conducted along with current software tools that may be used. Lastly, a proposed software architecture design will be described.en_US
dc.description.statementofresponsibilityby Anton Wirsch.en_US
dc.format.extent71 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectInstitute for Data, Systems, and Society.en_US
dc.subjectSystem Design and Management Program.en_US
dc.subjectEngineering Systems Division.en_US
dc.titleAnalysis of a top-down bottom-up data analysis framework and software architecture designen_US
dc.typeThesisen_US
dc.description.degreeS.M. in Engineering and Managementen_US
dc.contributor.departmentSystem Design and Management Program.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Society
dc.identifier.oclc972911211en_US


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