Fundamentals of Database Systems
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Artificial Intelligence: A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. Dr. Peter Norvig, contributing Artificial Intelligence author and Professor Sebastian Thrun, a Pearson author are offering a free online course at Stanford University on artificial intelligence. According to an article in The New York Times , the course on artificial intelligence is “one of three being offered experimentally by the Stanford computer science department to extend technology knowledge and skills beyond this elite campus to the entire world.” One of the other two courses, an introduction to database software, is being taught by Pearson author Dr. Jennifer Widom. Artificial Intelligence: A Modern Approach, 3e is available to purchase as an eText for your Kindle™, NOOK™, and the iPhone®/iPad®. To learn more about the course on artificial intelligence, visit http://www.ai-class.com. To read the full New York Times article, click here Database and database users -- Database system concepts and architecture -- The relational data model and relational database constraints -- Basic SQL -- More SQL : complex queries, triggers, views, and schema modification -- The relational algebra and relational calculus -- Data modeling using the entity-relationship (ER) model -- The enhanced entity-relationship (EER) model -- Relational database design by ER-and EER-to-relational mapping -- Practical database design methodology and use of UML diagrams -- Object and object-related databases -- XML : extensible markup language -- Introduction to SQL programming techniques -- Web database programming using PHP -- Basics of functional dependencies and normalization for relational databases -- Relational database design algorithms and further dependencies -- Disk storage, basic file structures, and hashing -- indexing structures for files -- Query processing and optimization, and database tuning -- Physical database design and tuning -- Introduction to transaction processing concepts and theory -- Concurrency control techniques -- Database recovery techniques -- Database security -- Distributed databases -- Enhanced data models for advanced applications -- Introduction to information retrieval and web search -- Data mining concepts -- Overview of data warehousing and OLAP -- Appendix A : Alternative diagrammatic notations for ER models -- Appendix B : Parameters of disks -- Appendix C : Overview of the QBE language -- Appendix D : Overview of the hierarchical data model -- Appendix E : Overview of the network data model
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