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 assessed and graded. Such assessments can be individual using a questionare, or in a group through a submission. Groups will be formed previously and once created, can not be changed throughout the course.

* The dates and timelines for practice assessments and submissions will be previously informed to the students.
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50
Objective test A12 B2 B4 B7 B9 C1 C4 * Written exam carried out individually 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).
    • a minimum of 40% is required on the practice lessons (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.
  • In order to comply with the current legislation in regards to gender equality, 2 measures will be taken:
    • Parity groups are to be formed, as much as possible
    • All the quizzes and the final objective test will be corrected using a blind method in order to assure the student's anonimity. 
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