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1. |
Record Nr. |
UNINA9910136496103321 |
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Titolo |
IEEE recommended practice for learning technology : IMS content packaging information model (CP) version 1.2--mapping to the conceptual model for resource aggregation |
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Pubbl/distr/stampa |
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New York : , : IEEE, , 2016 |
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ISBN |
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Descrizione fisica |
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1 online resource (70 pages) |
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Disciplina |
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Soggetti |
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Educational technology - Standards |
Information technology - Standards |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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Specified in this recommended practice is how the elements and attributes defined in the IMS Content Packaging Information Model (CP) Version 1.2 relate to the components of the conceptual model for resource aggregation defined in IEEE Std 1484.13.1-2012. Scope: This recommended practice specifies how the elements and attributes defined in the IMS Content Packaging Information Model (CP) Version 1.2 relate to the components of the conceptual model for resource aggregation defined in IEEE Std 1484.13.1™-2012. Purpose: The mapping specified in this recommended practice may be used with the mappings of other resource aggregation formats to achieve interoperability among the formats via the conceptual model defined in IEEE Std 1484.13.1-2012. |
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2. |
Record Nr. |
UNINA9910578687903321 |
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Autore |
Loucks Daniel P |
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Titolo |
Public Systems Modeling : Methods for Identifying and Evaluating Alternative Plans and Policies |
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Pubbl/distr/stampa |
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Cham, : Springer Nature, 2022 |
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Cham : , : Springer International Publishing AG, , 2022 |
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©2022 |
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ISBN |
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Descrizione fisica |
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1 online resource (329 pages) |
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Collana |
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International Series in Operations Research and Management Science ; ; v.318 |
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Soggetti |
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Public administration |
Operational research |
Optimization |
Economic theory & philosophy |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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This is an open access book discusses readers to various methods of modeling plans and policies that address public sector issues and problems. Written for public policy and social sciences students at the upper undergraduate and graduate level, as well as public sector decision-makers, it demonstrates and compares the development and use of various deterministic and probabilistic optimization and simulation modeling methods for analyzing planning and management issues. These modeling tools offer a means of identifying and evaluating alternative plans and policies based on their physical, economic, environmental, and social impacts. Learning how to develop and use the mathematical modeling tools introduced in this book will give students useful skills when in positions of having to make informed public policy recommendations or decisions. |
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