====== Laboratory on Algorithms for Big Data ======
    * **Teacher**: [[http://zola.di.unipi.it/rossano/|Rossano Venturini]]
    * **CFU**: 6
    * **Period**: First semester
    * **Language**: English
    * **Degree**: Master degree in Computer Science, or Computer Science and Networking, or Business Informatics

===== 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
  * 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; 
  * implementing advanced software by using powerful and sophisticated libraries; 
  * 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]]

===== Previous Years =====

    * [[.lad14:|Academic Year 2014/2015]]