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--- digitalhealth:0002a [09/07/2024 alle 12:43 (9 mesi fa)] – [Goals] Paolo Ferragina
+++ digitalhealth:0002a [09/07/2024 alle 12:47 (9 mesi fa)] (versione attuale) – [Current year] Paolo Ferragina
@@ Linea 19: / Linea 19: @@
 The theoretical lectures will be complemented by some hands-on experience in coding with relevant programming libraries that offer the above-mentioned building blocks. The course provides most of the algorithmic prerequisites for the other courses of this master’s degree.
+====== Syllabus ======
+  * Key issues about I/Os, streaming, and hierarchical memory in managing massive datasets.
+  * Algorithmic and data structure issues concerning atomic versus variable-length items.
+  * Two fundamental tools: sorting and permuting.
+  * Key-value stores: From basic to advanced hash tables and tries.
+  * Textual search engines: compressing and accessing posting lists (integer sequences) and text collections. Deduplicating similar/equal texts, clustering text collections.
+  * Bio-Informatics engines: compressing and indexing arbitrary text for substring search, exact or approximate.
+  * Vector DBs: nearest neighbor search, hamming, or Euclidean distance.
+  * Advanced storage: Streaming and random access to compressed raw files, time series, and (labeled) graphs.
+Lectures will include in-depth discussions on the practical efficiency of the proposed algorithms and data structures, plus hands-on experience with coding solutions for some topics.
@@ Linea 29: / Linea 42: @@
 ====== Current year ======
-  * [[.ae2024:|Academic Year 2024-2025]]
+  * [[.ad2da2024:|Academic Year 2024-2025]]
 ====== Previous years ======