Teaching GuideTerm Faculty of Computer Science |
Grao en Ciencia e Enxeñaría de Datos |
Subjects |
Advanced Parallel Processing |
Planning |
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Identifying Data | 2022/23 | |||||||||||||
Subject | Advanced Parallel Processing | Code | 614G02034 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 1st four-month period |
Fourth | Optional | 6 | ||||||||||
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Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | 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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