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Audience
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Masters AI - Computer Science
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Prerequisites:
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Introduction Relational Database; Database Architectures; programming experience in Java and C; English
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Terms:
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Knowledge about major recent developments in database technology; experience in using XQuery
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Content:
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A Column-Store Database Architecture, The kernel algorithms, Sensor and Streaming Databases, XML and XQuery
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Trimester:
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Sept-Dec 2010
(for times and locations see the UvA Timetable)
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Structure:
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Lectures and laboratory work
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Points:
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6 ECTS
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Grading:
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grading is based on a written exam in December on the material studied in the second half, the report on key-stores and the prototype implementation. All should results in grades >5.5. The final grade is the rounded average over the three grades.
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Literature:
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A. Silberschatz e.a., 'Database system concepts', 4th ed, McGraw-Hill, 2002
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Website:
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http://www.cwi.nl/~manegold/teaching/adt/
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Mailing list:
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TBA.
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