Teaching GuideTerm
Faculty of Computer Science
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Máster Universitario en Intelixencia Artificial
 Subjects
  Natural Language Understanding
   Assessment
Methodologies Competencies Description Qualification
Laboratory practice A2 A3 A4 B3 B4 B6 B7 B10 C2 C3 C7 C8 The delivery of the practicals must be done within the deadline established in the virtual campus and must follow the specifications indicated in the statement for both presentation and defense. 40
Objective test A2 A3 A4 B1 B6 B7 C2 Compulsory realization. The mastery of the theoretical and operative knowledge of the subject will be evaluated. 60
 
Assessment comments
Students must achieve at least 40% of the maximum grade for each part (theory, practice) and in any case the sum of both parts must reach a 5 to pass the course. If any of the above requirements is not met, the grade for the course will be established according to the lowest grade obtained. 

In case of not reaching the minimum grade in one of the parts, the student will have a second opportunity in which only the delivery of that part will be required. 

Grades will not be kept between academic years. 

The delivery of the practicals must be done within the deadline established in the virtual campus and must follow the specifications indicated in the statement for both its presentation and defense.

The student who submits all the compulsory practicals or attends the objective test in the official evaluation period will be considered "Presented".

In the case of fraudulent performance of exercises or tests, the Regulations for the evaluation of students' academic performance and review of qualifications will be applied. In application of the corresponding regulations on plagiarism, the total or partial copy of any practical or theory exercise will result in failure in both opportunities of the course, with a grade of 0.0 in both cases.
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