Teaching GuideTerm
Faculty of Computer Science
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Mestrado Universitario en Computación de Altas Prestacións / High Performance Computing (Mod. Virtual)
 Subjects
  Data Analytics with HPC
   Assessment
Methodologies Competencies Description Qualification
Laboratory practice B1 B8 B10 Grading the assignments submitted by students. 40
Supervised projects A1 A2 B1 B2 B8 Grading the supervised projects submitted by students. 50
Directed discussion B6 C1 C4 Continued, active, objectively measurable participation by the student. 10
 
Assessment comments

First evaluation (May): 

  • Practical exercises: 40% 
  • Guided projects: 50% 
  • Objective participation: 10% 

 Second evaluation (June/July):

  • Practical exercises: same grade as in the first evaluation, as there are no new activities planned for this evaluation. 40% of the final grade. 
  • Guided projects: projects not evaluated in may or deemed incomplete will be presented in july after performing the changes suggested by the professor. 50% of the final grade. 
  • Objective participation: same grade as in the first evaluation, as there are no new activities planned for this evaluation. 10% of the final grade. 

 Not graded: Students that do not present any practical exercise or guided project will not be graded.

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