Teaching GuideTerm Faculty of Computer Science |
Grao en Ciencia e Enxeñaría de Datos |
![]() |
![]() |
![]() |
|
|
|
Identifying Data | 2024/25 | |||||||||||||
Subject | Parallel Processing | Code | 614G02023 | |||||||||||
Study programme |
|
|||||||||||||
Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 1st four-month period |
Third | Obligatory | 6 | ||||||||||
|
Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
Guest lecture / keynote speech | A12 B3 B8 B9 C4 | 20 | 30 | 50 |
Laboratory practice | A12 B2 B4 B7 B9 B10 C1 | 20 | 60 | 80 |
Objective test | A12 B2 B4 B7 B9 C1 C4 | 3 | 11 | 14 |
Personalized attention | 6 | 0 | 6 | |
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
|