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Délia Boino
Submitted by dboino on 9 March 2021
Intended learning outcomes

Students who successfully complete this course unit will be able to:

  1. Characterize the challenges of processing and analysing large volumes of data;
  2. Apply programming models and frameworks for data processing;
  3. Know and apply dimensionality reduction techniques to data sets;
  4. Know and apply sampling techniques;
  5. Know and apply techniques to manipulate streaming data;
  6. Know and apply large-scale data mining algorithms;
  7. Evaluate the quality of the models produced and the results obtained in the mining tasks;
  8. Understand existing solutions for data mining in different domains;
  9. Write technical reports and prepare technical presentations with comparative and detailed analysis of different approaches for a given problem.

 

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