The teaching methodology is based on:

• Directed (33% - 2 cr)
• Supervised (17% - 1 cr)
• Autonomous (33% - 2 cr)
• Assessment (17% - 1 cr)

The final grade will be calculated as follows:

• Problem-based assignment (translation) 1:20%
• Problem-based assignment (translation) 2: 20%
• Problem-based assignment (translation) 3: 20%
• Oral presentation: 30%
• Homework, in-class activities and progression: 10%

Problem-based assignments will be submitted every 4 weeks approximately. The oral presentations will take place throughout the semester, starting week 4 or 5, and homework and in-class activities will also be programmed during the whole semester. Exact dates for all evaluation activities will be confirmed at the start of the course through a calendar published on the class Moodle.

Important issues

1. The minimum grade required to form average is 4.
2. Students will obtain a “Not assessed/Not submitted” course grade unless they have submitted more than 30% of the assessment items.
3. The level of English will be taken into account when correcting exams and in the final assessment.
4. In the event of a student committing any irregularity that may lead to a significant variation in the grade awarded to an assessment activity, the student will be given a zero for this activity, regardless of any disciplinary process that may take place. In this case, the activity will not have the possibility of reassessment. In the event of several irregularities in assessment activities of the same subject, the student will be given a zero as the final grade for this subject.
5. This subject allows the use of AI technologies as an integral part of the submitted work, provided that the final result reflects a significant contribution from the student in terms of analysis and personal reflection. The student must clearly (i) identify which parts have been generated using AI technology; (ii) specify the tools used; and (iii) include a critical reflection on how these have influenced the process and final outcome of the activity. Lack of transparency regarding the use of AI in the assessed activity will be considered academic dishonesty; the activity will be awarded a zero. In cases of greater infringement, more serious action may be taken.

IMPORTANT NOTE FOR EXCHANGE STUDENTS (ERASMUS, etc.) ON EXAMS AND OTHER ASSESSMENT ACTIVITIES

Exchange students (Erasmus and other) who request to bring forward an exam or any other type of assessment activity must present the teacher with an official document from their home university justifying their request.

Procedure for Reviewing Grades Awarded

On carrying out each evaluation activity, the lecturer will inform students (on Moodle) of the procedures to be followed for reviewing all grades awarded, and the date on which such a review will take place.

Reassessment

Reassessment for this subject requires a content-synthesis test (covering reassessable activities, i.e., the three problem-based assignments), for which the following conditions are applicable:

• The student must previously have obtained an average overall grade equal to or higher than 3.5.
• The student must have been assessed before in a set of activities whose weight is equivalent to at least 2/3 of the total grade.

Evaluation Activities Excluded from Reassessment

The following activities are not eligible for reassessment:

• Homework and in-class activities
• Oral presentation
• Activities in which there has been some irregularity.

SINGLE- ASSESSMENT OPTION

This subject does not incorporate the single-assessment option.