The teaching methodology will be the following: a) Master classes b) Self-employed work c) Analysis of materials d) Development of projects e) Tutorials f) Search of telematic documentation g) Preparation of reports.

In this subject, the use of Artificial Intelligence (AI) technologies is not allowed in any of its phases. Any work that includes fragments generated with AI will be considered a lack of academic honesty and may lead to a partial or total penalty in the grade of the activity, or greater sanctions in serious cases.

Assessment is continuous and will involve analysis and synthesis activities, the preparation of written reports, and exams. Some activities are to be completed individually, while others are group-based.

There will be two types of evidence of learning:

1. Assignments: These may be completed individually or in small groups; some will be oral and others written, and they will not all carry the same weight in the final grade. These involve in-person work and submission via the campus platform.

2. Exams: There will be two written exams: one covering the introductory elements of the course and Teaching Module I, and the other covering Teaching Modules II and III. These are individual, in-person exams.

Consequently, the final course grade will be calculated as follows: EV1 30%, EV2 30%, and EV3 40%.

Feedback on the various assessment activities will be provided with sufficient time for students to make appropriate progress in their learning process: EV1 – In class, Week 10; EV2 – Tutorial, Week 20; EV3 – Moodle classroom, Week 15.

Please note that the "single assessment" option does NOT mean the student is exempt from attending class or following the course schedule; the student must complete EV1 and EV2 and submit EV3 on the same day their classmates take EV2. The assessment session may last up to 3 hours.

Definition of passing the course: In accordance with the Faculty's assessment guidelines, passing the course via continuous assessment requires—on a 0–10 scale—obtaining a minimum overall grade of 5.0 points, as well as a grade of 4.0 points or higher on each in-person assessment task that contributes 20% or more to the continuous assessment grade. Failure to meet these requirements (or any others established for the course) will result in a maximum recorded grade of 4.5 points. Definition of "Not Assessed" status: Students who have not submitted learning evidence accounting for at least 40% of the total weight will be recorded as "Not Assessed." Retake exams: Students who have not passed the course but have been assessed on at least two-thirds of the learning evidence items are eligible for a retake. The maximum grade for a retake is 5.0. Single assessment must be requested online (via e-form) during the designated period (further information is available on the Faculty website). “Students enrolling for the second or subsequent time are not eligible for assessment via a single, non-retakeable synthesis exam.” https://www.uab.cat/web/estudiar/graus/graus/avaluacions-1345722525858.html Translated versions of in-person assessment papers will be provided if the requirements set out in Article 263 are met and the request is submitted online (via e-form) during Week 4 (further information is available on the Faculty website).