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Maestría en Ciencias Computacionales

Big Data Analytics

Autum 2016

Professor: Dr. Rogelio Dávila Pérez    
Aim of the Course: By the end of the course the student will be:    
 
  • able to identify when a problem is related with Big Data.
  • apply the main techniques used to solve problems related with Big Data.
  • able to discriminate and select among statistical tools those which are best suited to solve a problem related with Big Data.
  • able to understand and apply machine learning for recovering information related with Big Data.
    
Evaluation:
  • 2 exams (25% c/u) 50%
  • 2 projects (20% c/u) 40%
  • homework 10%
    
Text Books:
  • Data Mining (3rd Edition)
    • Ian H. Witten, Eibe Frank and Mark A. Hall Morgan Kaufmann Publishers, 2011

  • Harnes the Power of Big Data, The big IBM data platform
    • Donald Minner and Alan Shook E'Oreylly Publishers
   

Dr. Rogelio Dávila Pérez