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magistraleinformatica:lad:start

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magistraleinformatica:lad:start [11/07/2014 alle 16:57 (8 anni fa)]
Paolo Ferragina [Goals and Opportunities for Students]
magistraleinformatica:lad:start [18/11/2015 alle 04:40 (6 anni fa)] (versione attuale)
Rossano Venturini [Current Year]
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 ====== Laboratory on Algorithms for Big Data ====== ====== 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
     * **Period**: First semester     * **Period**: First semester
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     * **Degree**: Master degree in Computer Science, or Computer Science and Networking, or Business Informatics     * **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 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; 
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 ===== Current Year ===== ===== 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 ===== ===== Previous Years =====
  
- +    * [[.lad14:|Academic Year 2014/2015]]
- +
magistraleinformatica/lad/start.1405097850.txt.gz · Ultima modifica: 11/07/2014 alle 16:57 (8 anni fa) da Paolo Ferragina