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Laboratory on Algorithms for Big Data

  • CFU: 6.
  • 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.

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magistraleinformatica/lad/start.1405097336.txt.gz · Ultima modifica: 11/07/2014 alle 16:48 (8 anni fa) da Paolo Ferragina