Teaching GuideTerm Faculty of Computer Science |
Grao en Ciencia e Enxeñaría de Datos |
Subjects |
Parallel Processing |
Assessment |
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Identifying Data | 2022/23 | |||||||||||||
Subject | Parallel Processing | Code | 614G02023 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 1st four-month period |
Third | Obligatory | 6 | ||||||||||
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Methodologies | Competencies / Results | Description | Qualification |
Laboratory practice | A12 B2 B4 B7 B9 B10 C1 | * All the practice lessons will be the subject of evaluation and assessment by the teacher. * Each practice lesson will be introduced and briefly explained by the teacher on its first associated practice class. The student is expected to start the practice lesson right away. * The submission deadline of practice lessons will be previously agreed on, a time during which it is expected that the student carries out such practice lesson during the out-of-class time. The deadline will be group-specific. * It is possible that for some practice lessons, the assessment score will be based partially or totally on a quiz that will be carried out on a date known beforehand. |
50 |
Objective test | A12 B2 B4 B7 B9 C1 C4 | * Written exam carried out at the end of the term. * It will mainly evaluate and assess concepts from the theory lessons. * To a lesser point, some questions will also be present to re-asses key concepts from the practice lessons. |
50 |
Assessment comments | |||
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