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Computer simulation --- Simulation methods --- Model-integrated computing --- MIC (Model-integrated computing) --- Software engineering

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Collected articles in this series are dedicated to the development and use of software for earth system modelling and aims at bridging the gap between IT solutions and climate science. The particular topic covered in this volume addresses the major coupling software developed and used in the climate modelling community.

Earth sciences -- Computer simulation. --- Earth sciences. --- Software engineering. --- Geology --- Earth & Environmental Sciences --- Geography --- Physical Geography --- Meteorology & Climatology --- Geology - General --- Model-integrated computing. --- Earth --- Mathematical models. --- MIC (Model-integrated computing) --- Earth Sciences. --- Earth Sciences, general. --- Software Engineering. --- Software engineering --- Computer simulation --- Geography. --- Computer software engineering --- Engineering --- Cosmography --- Earth sciences --- World history --- Geosciences --- Environmental sciences --- Physical sciences

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There is no single approach to modelling and model-based systems development that is best for all possible situations. Therefore, a high-level overview is needed in order to evaluate the options and identify the optimal approach. This unique textbook/reference introduces and describes in detail the SEQUAL framework for understanding the quality of models and modelling languages, including the numerous specialisations of the generic framework, and the various ways in which this can be used for different applications. Examples are provided from the application of SEQUAL in industrial and governmental settings. Topics and features: Contains case studies, chapter summaries, review questions, problems and exercises throughout the text, in addition to Appendices on terminology and abbreviations Presents a thorough introduction to the most important concepts in conceptual modelling, including the underlying philosophical outlook on the quality of models Describes the basic tasks and model types in information systems development and evolution, and the main methodologies for mixing different phases of information system development Provides an overview of the general mechanisms and perspectives used in conceptual modelling Predicts future trends in technological development, and discusses how the role of modelling can be envisaged in this landscape This didactic guide is essential reading for postgraduate students of computer science, software engineering and information systems wishing to learn more about conceptual modelling in their preparation for professional practice. Developers of information systems will also find the book an ideal reference to support their professional activity. Dr. John Krogstie is a Professor of Information Systems in the Department of Computer and Information Science at the Norwegian University of Science and Technology, Trondheim, Norway.

Computer simulation. --- Model-integrated computing. --- Engineering & Applied Sciences --- Computer Science --- MIC (Model-integrated computing) --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Computer science. --- Information technology. --- Business --- Management information systems. --- Computer Science. --- Simulation and Modeling. --- Management of Computing and Information Systems. --- IT in Business. --- Data processing. --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Software engineering --- Computer simulation --- Information Systems. --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Business—Data processing. --- Informatics --- Science --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Communication systems

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th This publication comprises the proceedings of the 29 International Conference on Conceptual Modeling (ER 2010), which was held this year in Vancouver, British Columbia, Canada. Conceptual modeling can be considered as lying at the confluence of the three main aspects of information technology applications –– the world of the stakeholders and users, the world of the developers, and the technologies available to them. C- ceptual models provide abstractions of various aspects related to the development of systems, such as the application domain, user needs, database design, and software specifications. These models are used to analyze and define user needs and system requirements, to support communications between stakeholders and developers, to provide the basis for systems design, and to document the requirements for and the design rationale of developed systems. Because of their role at the junction of usage, development, and technology, c- ceptual models can be very important to the successful development and deployment of IT applications. Therefore, the research and development of methods, techniques, tools and languages that can be used in the process of creating, maintaining, and using conceptual models is of great practical and theoretical importance. Such work is c- ducted in academia, research institutions, and industry. Conceptual modeling is now applied in virtually all areas of IT applications, and spans varied domains such as organizational information systems, systems that include specialized data for spatial, temporal, and multimedia applications, and biomedical applications.

Database design --- Relational databases --- Engineering & Applied Sciences --- Computer Science --- Information Technology --- Software Engineering --- Model-integrated computing --- MIC (Model-integrated computing) --- Computer science. --- Software engineering. --- Computer programming. --- Programming languages (Electronic computers). --- Computer logic. --- Artificial intelligence. --- Computer Science. --- Software Engineering/Programming and Operating Systems. --- Software Engineering. --- Logics and Meanings of Programs. --- Programming Languages, Compilers, Interpreters. --- Programming Techniques. --- Artificial Intelligence (incl. Robotics). --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computer science logic --- Logic, Symbolic and mathematical --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Languages, Artificial --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Computer software engineering --- Engineering --- Informatics --- Science --- Programming --- Software engineering --- Computer simulation --- Logic design. --- Artificial Intelligence. --- Design, Logic --- Design of logic systems --- Digital electronics --- Electronic circuit design --- Logic circuits --- Switching theory