Teaching GuideTerm
Faculty of Humanities
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 Subjects
  Data Science
   Methodologies
Methodologies Description
Guest lecture / keynote speech Keynote speech will be given in which the teacher will explain, with the help of appropriate audiovisual media, the main contents of the subject.
ICT practicals In the practical classes the student will be introduced to the handling of the statistical software R. Computational tools for the resolution of problems will be shown and applied through the statistical analysis of data, either from simulated or real data.
Case study The statistical techniques taught in the course will be applied to solve exercises and real and simulated case studies in the field of digital information management.
Supervised projects Students will be proposed to develop a group work (2 to 4 people) consisting of the application of statistical and computational tools shown in class to a particular case study, described by real or simulated data. You can also perform a work consisting of the description of a case study in the field of communications and information sciences, in which the resolution of a real problem is carried out based on the application of statistical techniques. A review study on a specific topic of the subject or the software used may also be carried out. The works can be proposed by the teachers or by the students themselves (the proposals will be taken into account or not always according to the teacher's criteria).
Objective test It will consist of a multiple-choice test on the contents taught in the course.
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