The acquisition of knowledge and skills by the students will be achieved through different methodological procedures, alternating master classes, in which methodological issues and theory knowledge are worked on, with directed practical classes in which the students develop their technical skills through of exercises both in the photographic studio and on location.

In addition, students must perform exercises autonomously through different tasks.

A detailed schedule outlining the content of each session will be presented on the first day of the course and will be available on the course’s Virtual Campus, where students will find the various teaching materials deemed appropriate by the instructors and necessary information for effective course monitoring. Should the teaching modality change for reasons of force majeure according to the competent authorities, the teaching staff will inform students of any modifications to the course schedule and teaching methodologies.

Note: The course content will be sensitive to issues related to gender perspective and the use of inclusive language.

Annotation: within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.

This subject doesn't provide for the single assessment system

The subject consists of the following evaluations:

1. A multiple choice exam that will allow evaluating the theoretical knowledge acquired during the subject (40%).

2. Mandatory practices with delivery of exercises through the virtual campus (50%).

3. Attendance at master classes and active participation in practical classes (10%).

In order to pass the subject, it is necessary to obtain a minimum grade of 5 in the theory exam.

Students will be entitled to the revaluation of the subject. They should present a minimum of activities that equals two-thirds of the total grading.

To have access to revaluation, the previous grades should be 3.5.

In the event that the student performs any irregularity that may lead to a significant variation of an evaluation act, this evaluation act will be graded with 0, regardless of the disciplinary process that could be instructed. In the event, that several irregularities occur in the evaluation acts of the same subject, the final grade for this subject will be 0.

In the case of students taking the exam for the second or more times, the teachers responsible for the subject may decide to assess them through a synthesis test. (article 267.2 de la normativa acadèmica de la UAB: https://www.uab.cat/web/lauab/itineraris/normatives/normativa-academica-1345668305783.html).

For this course, the use of Artificial Intelligence (AI) technologies is permitted exclusively for those tasks requested by the teaching staff and in which their use is clearly specified. Students must clearly identify any parts generated with these technologies, specify the tools used, and include a critical reflection on how AI has influenced the process and final outcome of the assignment. Failure to disclose the use of AI in this assessed activity will be considered a breach of academic integrity and may result in a partial or total penalty to the assignment grade, or more serious sanctions in severe cases.

The performance of any irregularity in an evaluation act (academic fraud, plagiarism or improper use of AI, unless this use is expressly authorized by the teaching guide), which may lead to a significant variation in the grade, assumes that this act will be

graded with a 0. In the event that the teaching guide foresees that in order to pass the subject it is an essential requirement to have obtained a minimum grade in this evaluation act or that there are several irregularities in the evaluation acts of the same

subject, the final grade of this subject is 0. Apart from this, a disciplinary process may be instructed to the student that incurs any of these irregularities.

Any student suspected of submitting assignments that have been generated by AI, written by others or copied; include unattributed AI-generated content, or fall outside the permitted scope, may be asked to provide the preliminary work or other materials that can demonstrate it is original work and the result of their own authorship. They may also be asked to separately explain or justify their work. Teachers may also use AI detection systems or carry out any verification tasks they deem appropriate. If, after review, the instructor detects irregularities, the assignment may be graded zero, and the student may be subject to further disciplinary action.