Teaching GuideTerm
Faculty of Computer Science
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Grao en Ciencia e Enxeñaría de Datos
 Subjects
  Parallel Processing
   Assessment
Methodologies Competencies 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
  • In order to pass the subject, a minimum of 40% is required on the objective test, or final exam (2 points out of 5).
  • Practice sessions will be NON REPEATABLE for the second chance.
  • Part-time students can attend any practice class group, once it has been previously notified.
  • Part-time students or students with approved dispensation for non-attendance at classes can submit their practice lessons taking into account the longest group-specific deadline available. In case a practice lesson is assessed using a quiz, a different date will be previously negotiated if needed.
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