Teaching GuideTerm
Faculty of Computer Science
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Mestrado Universitario en Técnicas Estadísticas (Plan 2019)
 Subjects
  Data Management Technology
   Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Guest lecture / keynote speech A16 A18 A21 A23 20 28 48
Laboratory practice A16 A18 A24 A25 B3 B2 C13 C12 7 10.5 17.5
Problem solving A17 A16 B2 C13 0 28 28
Seminar A17 A24 A25 B1 B17 B19 B21 C15 7 10.5 17.5
Supervised projects A16 A17 A21 A23 A24 A25 B1 B2 B3 B4 B5 B17 B18 B19 B20 B21 C11 C12 C13 C14 C15 1 9.5 10.5
Mixed objective/subjective test A16 A18 A21 A23 A24 A25 B1 B2 B3 B4 B17 B18 C13 3 0 3
 
Personalized attention 0.5 0 0.5
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.
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