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| * During Lecture 3 ({{:teaching:infoh417:slides-lect3-part1.pdf|slides part I}}, {{:teaching:infoh417:slides-lect3-part2.pdf|slides part II}}) we study sparse and dense index structures, and BTrees. The details are found in chapter 14, sections 14.1 and 14.2 in the book. | * During Lecture 3 ({{:teaching:infoh417:slides-lect3-part1.pdf|slides part I}}, {{:teaching:infoh417:slides-lect3-part2.pdf|slides part II}}) we study sparse and dense index structures, and BTrees. The details are found in chapter 14, sections 14.1 and 14.2 in the book. | ||
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| + | ==== Project Assignment: External Memory Algorithms ==== | ||
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| + | * In this assignment you are asked to implement an external-memory merge-sort algorithm, and examine its performance under different parameters. Be sure to visit the [[teaching:infoh417:project|project's page]] for full details and modalities. | ||
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| + | ==== Lecture 4: More Index Structures ==== | ||
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| + | * During Lecture 4 ({{:teaching:infoh417:slides-lect4-part1.pdf|slides part I}}, {{:teaching:infoh417:slides-lect4-part2.pdf|slides part II}}, {{:teaching:infoh417:slides-ch13-indexstruc.odp|slides part I in OpenOffice Impress format}}) we have studied index structures based on hashing, and discussed the typical architecture of a DBMS. The details are found in section 14.3 and 15.7 in the book. | ||
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