General teaching training objectives in terms of expected learning outcomes.
Knowledge and understanding: The course aims to give the knowledge and basic and advanced skills to the analysis of data.
Applying knowledge and understanding: the student will acquire knowledge about the models and algorithms for analyzing data such as: mining high support, recommendation systems, search for similarities in high dimension, networks analysis, text mining, classification and clustering.
Making judgments: Through concrete examples and case studies, the student will be able to independently develop solutions to specific problems related to data analysis.
Communication skills: the student will acquire the necessary communication skills and expressive appropriateness in the use of technical language in the general area of data analysis.
Learning skills: The course aims to provide students with the necessary theoretical and practical methods to deal independently and solve new problems that may arise during a work activity. For this purpose, different topics will be covered in class by involving students in the search for possible solutions to real problems, using benchmarks available in the literature.