Teaching GuideTerm
Faculty of Computer Science
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Mestrado Universitario en Técnicas Estadísticas (Plan 2019)
  Data Management Technology
Methodologies Competencies Description Qualification
Laboratory practice A16 A18 A24 A25 B3 B2 C13 C12 Evauation of the laboratoy practices carried out by the students. 30
Mixed objective/subjective test A16 A18 A21 A23 A24 A25 B1 B2 B3 B4 B17 B18 C13 The final exam will evaluate the following aspects:

Theoretical Concepts regarding the subject: Mastering the theoretical and operational knowledge of the subject.

Practical expertise: Handling and Understanding of the operational and theoretical knowledge of the subject
Supervised projects A16 A17 A21 A23 A24 A25 B1 B2 B3 B4 B5 B17 B18 B19 B20 B21 C11 C12 C13 C14 C15 Evauation of the supervised projects carried out by the students. 10
Assessment comments
  • To pass the course in the 1st opportunity call, it is mandatory to obtain at least on the one hand a 30% of the maximum possible grade in the laboratory practices+supervised projects, and on the other hand, at least a 30% of the maximum possible grade of the written mixed objective/subjective test performed during the term and to have a final grade (lab practices + supervised projects + mixed objective/subjective test) at least a 50% of the maximum possible grade.
  • Only the final mixed objective/subjective test is remediable in the 2nd opportunity call. The other parts of the grade are the ones obtained during the term. Students taking advantage of the ahead December call will be evaluated using their grades (lab practices and supervised projects) from the previous term. The only condition to pass the course in this call is to obtain a final grade equal to or greater than 50% of the maximum possible grade.
  • Once a student gets an evaluation for a laboratory practice or a supervised project implies he/she will be graded. Thus, "not graded" mark is not possible once an exercise/project has been evaluated.
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