Teaching GuideTerm
Faculty of Computer Science
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Grao en Ciencia e Enxeñaría de Datos
 Subjects
  Advanced Parallel Processing
   Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Laboratory practice A12 B2 B8 B10 C1 19.5 48.75 68.25
Seminar A12 3 3 6
Supervised projects A12 B2 B3 B4 B7 B8 B9 C1 C4 0 25 25
Guest lecture / keynote speech A12 19.5 29.25 48.75
 
Personalized attention 2 0 2
 
(*)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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