Differenze

Queste sono le differenze tra la revisione selezionata e la versione attuale della pagina.

--- magistraleinformatica:lad:start [11/07/2014 alle 16:48 (11 anni fa)] – [Goals and Opportunities for Students] Paolo Ferragina
+++ magistraleinformatica:lad:start [18/11/2015 alle 04:40 (10 anni fa)] (versione attuale) – [Current Year] Rossano Venturini
@@ Linea 1: / Linea 1: @@
 ====== Laboratory on Algorithms for Big Data ======
-    * **Teacher**: [[http://www.di.unipi.it/~ferragin/|Paolo Ferragina]] and [[http://zola.di.unipi.it/rossano/|Rossano Venturini]]
+    * **Teacher**: [[http://zola.di.unipi.it/rossano/|Rossano Venturini]]
-    * **CFU**: 6.
+    * **CFU**: 6
-    * **Language**: English.
+    * **Period**: First semester
-    * **Degree**: Master degree in Computer Science, or Computer Science and Networking, or Business Informatics.
+    * **Language**: English
+    * **Degree**: Master degree in Computer Science, or Computer Science and Networking, or Business Informatics
+===== Goals and opportunities for students =====
-===== Goals and Opportunities for Students =====
 The course consists of a first part of lectures describing advanced algorithms and data structures (3 CFU), and a laboratory in the second part (3 CFU) in which the students will deploy these techniques to develop a software project. The students will select their projects among a set of proposals by **major IT companies** which are challenging from an algorithmic perspective. These companies will also contribute to identify/construct significant **datasets** that will help in testing the proposed algorithmic solutions.
-The course will provide the opportunity of:
+The course will provide the opportunity of
-* facing with difficult algorithmic problems of practical interest involving big data;
+  * facing with difficult algorithmic problems of practical interest involving big data;
-* evaluating the impact of efficient algorithmic solutions in the design of software managing big data;
+  * evaluating the impact of efficient algorithmic solutions in the design of software managing big data;
-* implementing advanced software by using powerful and sophisticated libraries;
+  * implementing advanced software by using powerful and sophisticated libraries;
-* getting in touch with some companies for internships, scholarships, or thesis proposals.
+  * getting in touch with some companies for internships, scholarships, or thesis proposals.
 ===== Current Year =====
+[[ http://pages.di.unipi.it/rossano/221-2/laboratory-on-algorithms-for-big-data-a-a-201516/|Academic Year 2015/2016]]
-    * [[.lad14:|Academic Year 2014/2015]]
 ===== Previous Years =====
+    * [[.lad14:|Academic Year 2014/2015]]